SM updated to facilitate reading

CODE/SM.Rmd

@@ -49,13 +49,19 @@ source("functions.R")
 
 ```
 
+## About this document
 
-## Recalculate everything or not?
+The pdf version of this document was generated using an RMarkDown document, which includes all the computer code to reproduce key figures, tables, and analyses mentioned in the main manuscript, as well as additional texts and analyses. In the pdf version, you will see two types of text:
+
+> Quoted text indicates sections that appear verbatim in the main manuscript.
+
+In contrast, unmarked text are additional texts and analyses, as well as comments for the reader who is attempting to reproduce our analyses. Readers attempting to reproduce our analyses are asked to also read comments in chunks of code in the RMarkDown version of the document.
 
-If RECALC is set to TRUE, then the ICC tables will be re-generated and the simulation re-ran. Notice that you can only do this if you have access to underlying data. If you are not one of the paper's authors, please email us for access to reproduce this section. You do not need access to reproduce all the rest.
 
 ```{r recalc-all}
 
+# If RECALC is set to TRUE, then the ICC tables will be re-generated and the simulation re-ran. Notice that you can only do this if you have access to underlying data. If you are not one of the paper's authors, please email us for access to reproduce this section. You do not need access to reproduce all the rest.
+
 RECALC=FALSE
 
 if(RECALC) source("regenerate_data.R") # This code cannot be reproduced without access to the underlying datasets
@@ -66,6 +72,7 @@ if(RECALC) source("create-all-icc.R")
 
 if(RECALC) source("simulate-r-for-icc.R") #when ran on Aug 2 2023, it gave an error chol(): decomposition failed -- perhaps one of our newly added datasets (lyon, quechua) is too small? -- happened again on Aug 15, need to double check how this affects simulation; I suspect this is bc overlap bet function names across this & previous code
 #aug 18, now it runs for ever...
+#nov 27 it still runs for ever
 
 if(RECALC) source("create-all-rs.R")
 ```
@@ -109,24 +116,20 @@ df.icc.corpus$Type <- get_type(df.icc.corpus)
 
 We were uncertain of how to interpret ICC's numeric values. It is described as "proportion of variance explained", but we do not know if it should be considered as a percentage (like R^2) or a correlation (like r). We therefore simulated data controlling the underlying r between paired datapoints to see how ICC recovered that underlying r.
 
-We will inform the simulation by the data we have as follows:
-
-- we'll have the same N of corpora, and of children in each corpus
-- we'll have the same metrics for each (i.e., CVC, AWC, etc) -- and these metrics will have the same mean & SD for day 1 of recordings as in observed data
-
-We'll depart from reality as follows:
+We informed the simulation by the data we have as follows:
 
-- we will not consider the r across multiple days observed in the data, but instead generate data points to vary r from a small correlation (r=.1), a moderate one (r=.3), a larger one (r=.5). It is unlikely that test-retest correlations in infancy would be much greater than .5 (based on previous studies using test-retest in experimental tasks), but for completeness, we also use .7 and .9
-- we will not consider child age, nor variable re-recording periods
-- we will have a single pair of recordings (rather than variable N of re-recordings)
+- we had the same number of corpora, and of children in each corpus
+- we had the same metrics for each (i.e., CVC, AWC, etc) -- and these metrics had the same mean & SD for day 1 of recordings as in observed data
 
-We use simstudy, a package created for such simulations, following the vignette https://cran.r-project.org/web/packages/simstudy/vignettes/correlated.html to create correlated data providing a correlation matrix
+In the simulation, we departed from reality as follows:
 
+- we did not consider the r across multiple days observed in the data, but instead generate data points to vary r from a small correlation (r=.1), a moderate one (r=.3), a larger one (r=.5). It is unlikely that test-retest correlations in infancy would be much greater than .5 (based on previous studies using test-retest in experimental tasks), but for completeness, we also use .7 and .9
+- we did not consider child age, nor variable re-recording periods
+- we had a single pair of recordings (rather than variable number of re-recordings)
 
+We used simstudy, a package created for such simulations, following the vignette https://cran.r-project.org/web/packages/simstudy/vignettes/correlated.html to create correlated data providing a correlation matrix. Results are shown in the Figure below. Each point represents the ICC extracted from a mixed model applied to one metric, combining data from all corpora. It appears that ICC values reflect underlying r values, but underestimating r more the larger r is. 
 
-In the following plot, each point represents the ICC extracted from a mixed model applied to one metric, combining data from all corpora. It appears that ICC values reflect underlying r values, but underestimating r more the larger r is. 
-
-```{r icc-sim-plot}
+```{r icc-sim-plot, fig.cap="Results from simulations aimed at helping understand the relationship between underlying r and estimated ICC."}
 
 plot(df.icc.simu$icc_child_id~df.icc.simu$myr,xlab="r used to simulate the data",ylab="Estimated ICC from simulated data")
 
@@ -180,13 +183,18 @@ corpus_description=cbind(corpus,location,chi_per_corpus, rec_r_per_child, rec_pe
 
 write.table(corpus_description, "../output/corpus_description.csv", sep='\t')
 
+kable(corpus_description,caption="Table 2 (reproduced).")
+
 nkids=length(levels(mydat_aclew$child_id))
 nrecs=length(levels(mydat_aclew$session_id))
 ```
 
+
+
+
 ## SM D: Code to reproduce Fig. 2
 
-```{r icc-examples-fig2, echo=F,fig.width=4, fig.height=3,fig.cap="(A) scatterplot for one variable with relatively low ICCs versus (B) one with relatively higher ICCs (see Tables 1-2 for details)"}
+```{r icc-examples-fig2, fig.width=4, fig.height=3,fig.cap="Figure 2 (reproduced). Scatterplots for two selected variables. The left one has relatively low ICCs; the right one has relatively higher ICCs."}
 # figure of bad ICC: lena     used to be: avg_voc_dur_chi, now is: peak_wc_adu_ph; good ICC: lena used to be: voc_och_ph, now is: voc_dur_och_ph
 
 # remove missing data points altogether
@@ -275,35 +283,53 @@ mytab=rbind(cbind(rval_tab[rval_tab$data_set=="aclew" & rval_tab$metric== "wc_ad
 mytab=gsub("0.",".",mytab,fixed=T)
 colnames(mytab)<-c("aclew","lena")
 rownames(mytab)<-c("AWC","CVC","CTC","Chi vocs")
-print(mytab)
 
 rval_tab$Type<-get_type(rval_tab)
 
 ```
 
-> QUOTED TEXT
+> Out of  `r length(levels(factor(mydat_aclew$child_id)))` children in `r length(levels(factor(mydat_aclew$experiment)))` corpora, `r length(levels(factor(dist_contig_lena$child_id)))` children (belonging to `r length(levels(factor(gsub(" .*","",dist_contig_lena$child_id))))`  corpora) could be included in this analysis, as some children did not have recordings less than two months apart. In particular, no child from the Warlaumont corpus did. 
 
-Out of  `r length(levels(factor(mydat_aclew$child_id)))` children in `r length(levels(factor(mydat_aclew$experiment)))` corpora, `r length(levels(factor(dist_contig_lena$child_id)))` children (belonging to `r length(levels(factor(gsub(" .*","",dist_contig_lena$child_id))))`  corpora) could be included in this analysis, as some children did not have recordings less than two months apart. In particular, no child from the Warlaumont corpus did. 
+## SM F: Code to reproduce Table 3
 
-## SM F: Exploration: Is lower Child ICC than correlations due to the fact that we are controlling for age?
+```{r tab3}
+kable(mytab,caption="Table 3 (reproduced). Mean and range for Pearson correlations across sampled pairs of recordings ")
 
+```
 
+## SM G: Code to reproduce text above Figure 4
 
+```{r reg model cor}
 
-```{r}
-with_age_cvc <-lmer(can_voc_chi_ph ~ age_s + (1|experiment/child_id),data=mydat_aclew)
-no_age_no_cor_cvc <-lmer(can_voc_chi_ph ~ 1 + (1|child_id),data=mydat_aclew)
 
+lr_cor <- lm(m ~ Type * data_set, data=rval_tab) 
+#plot(lr_cor)
+#binomial could be used, but diagnostic plots look great
+
+reg_sum_cor=summary(lr_cor)
+
+reg_anova_cor=Anova(lr_cor)
+
+r_msds=aggregate(rval_tab$m,by=list(rval_tab$data_set),get_msd)
+rownames(r_msds)<-r_msds$Group.1
+
+cor_t=t.test(rval_tab$m ~ rval_tab$data_set)
 
 ```
 
-May it be that correlation coefficients are higher than Child ICC because we control for age in the latter but not the former? To assess this, we take a metric that shows a large difference across the correlation and the Child ICC analysis, ACLEW's CVC per hour. We then refit our mixed model, but this time we do not declare age nor corpus, so that the situation is more similar to the simple correlations. When we do this, Child ICC goes up from `r round(df.icc.mixed[df.icc.mixed$metric=="can_voc_chi_ph","icc_child_id"],2)` to `r round(as.numeric(icc(no_age_no_cor_cvc)[1]),2)`.
+> To see whether correlations in this analysis differed by talker types and pipelines, we fit a linear model with the formula $lm(cor ~ type * pipeline)$, where type indicates whether the measure pertained to the key child, (female/male) adults, other children; and pipeline LENA or ACLEW. We found an adjusted R-squared of `r round(reg_sum_cor$adj.r.squared*100)`%, suggesting this model did not explain a great deal of variance in correlation coefficients. A Type 3 ANOVA on this model revealed a significant effect of pipeline (F = `r round(reg_anova_cor["data_set","F value"],2)`, p = `r round(reg_anova_cor["data_set","Pr(>F)"],2)`), due to higher correlations for ACLEW (`r r_msds["aclew","x"]`) than for LENA metrics (m = `r r_msds["lena","x"]`). 
 
-This is still lower than the correlation observed for this same variable, `r rval_tab[rval_tab$metric=="can_voc_chi_ph","m"]`. We believe this is due to another difference between the two analyses, namely that here we are including all recordings, whereas the other analysis is focused on recordings less than 2 months away.
+See table below for results of the Type 3 ANOVA.
+
+```{r print out anova results rec on cor}
+
+kable(round(reg_anova_cor,2),caption="Type 3 ANOVA on model attempting to explain variation in Child ICC as a function of talker types and pipelines.")
+```
 
-## SM G: Code to reproduce Figure 3
 
-```{r r-fig3, echo=F,fig.width=4, fig.height=3,fig.cap="Distribution of correlation coefficients."}
+## SM H: Code to reproduce Figure 4
+
+```{r r-fig4, echo=F,fig.width=4, fig.height=3,fig.cap="Figure 4 (reproduced). Violin plot reflecting the distribution of correlations."}
 
 
 ggplot(rval_tab, aes(y = m, x = toupper(data_set))) +
@@ -314,40 +340,28 @@ ggplot(rval_tab, aes(y = m, x = toupper(data_set))) +
 
 ```
 
-## SM H: Code to reproduce text under Figure 3
 
-```{r reg model cor}
+## SM I: Is lower Child ICC than correlations due to the fact that we are controlling for age? (Exploration)
 
 
-lr_cor <- lm(m ~ Type * data_set, data=rval_tab) 
-#plot(lr_cor)
-#binomial could be used, but diagnostic plots look great
-
-reg_sum_cor=summary(lr_cor)
-
-reg_anova_cor=Anova(lr_cor)
-
-r_msds=aggregate(rval_tab$m,by=list(rval_tab$data_set),get_msd)
-rownames(r_msds)<-r_msds$Group.1
+```{r}
+with_age_cvc <-lmer(can_voc_chi_ph ~ age_s + (1|experiment/child_id),data=mydat_aclew)
+no_age_no_cor_cvc <-lmer(can_voc_chi_ph ~ 1 + (1|child_id),data=mydat_aclew)
 
-cor_t=t.test(rval_tab$m ~ rval_tab$data_set)
 
 ```
 
-> QUOTED TEXT
+May it be that correlation coefficients are higher than Child ICC because we control for age in the latter but not the former? To assess this, we take a metric that shows a large difference across the correlation and the Child ICC analysis, ACLEW's CVC per hour. We then refit our mixed model, but this time we do not declare age nor corpus, so that the situation is more similar to the simple correlations. When we do this, Child ICC goes up from `r round(df.icc.mixed[df.icc.mixed$metric=="can_voc_chi_ph","icc_child_id"],2)` to `r round(as.numeric(icc(no_age_no_cor_cvc)[1]),2)`.
 
-To see whether correlations in this analysis differed by talker types and pipelines, we fit a linear model with the formula $lm(cor ~ type * pipeline)$, where type indicates whether the measure pertained to the key child, (female/male) adults, other children; and pipeline LENA or ACLEW. We found an adjusted R-squared of `r round(reg_sum_cor$adj.r.squared*100)`%, suggesting this model did not explain a great deal of variance in correlation coefficients. A Type 3 ANOVA on this model revealed a significant effect of pipeline (F = `r round(reg_anova_cor["data_set","F value"],2)`, p = `r round(reg_anova_cor["data_set","Pr(>F)"],2)`), due to higher correlations for ACLEW (`r r_msds["aclew","x"]`) than for LENA metrics (m = `r r_msds["lena","x"]`). See below for fuller results.
+This is still lower than the correlation observed for this same variable, `r rval_tab[rval_tab$metric=="can_voc_chi_ph","m"]`. We believe this is due to another difference between the two analyses, namely that here we are including all recordings, whereas the other analysis is focused on recordings less than 2 months away.
 
-```{r print out anova results rec on cor}
 
-kable(round(reg_anova_cor,2))
-```
 
 
-## SM I: Code to reproduce text at the beginning of the "Overall reliability" section
+## SM J: Code to reproduce text at the beginning of the "Overall reliability" section
 
 
-Out of the `r dim(df.icc.mixed)[1]` fitted models, `r table(df.icc.mixed$formula)["full"]` could be fit with the full model, yielding a measure of Corpus ICC. Of these, `r round(sum(df.icc.mixed$icc_corpus<.2,na.rm=T)/sum(!is.na(df.icc.mixed$icc_corpus))*100)`% had Corpus ICCs smaller than .2, consistent with the idea that LENA and ACLEW metrics are robust to corpus differences. For the `r table(df.icc.mixed$formula)["no_exp"]` for which the full model was singular, we fit the data with the No Corpus model, and none was singular then, allowing us to have Child ICC for all `r dim(df.icc.mixed)[1]` metrics. 
+> Out of the `r dim(df.icc.mixed)[1]` fitted models, `r table(df.icc.mixed$formula)["full"]` could be fit with the full model, yielding a measure of Corpus ICC. Of these, `r round(sum(df.icc.mixed$icc_corpus<.2,na.rm=T)/sum(!is.na(df.icc.mixed$icc_corpus))*100)`% had Corpus ICCs smaller than .2, consistent with the idea that LENA and ACLEW metrics are robust to corpus differences. For the `r table(df.icc.mixed$formula)["no_exp"]` for which the full model was singular, we fit the data with the No Corpus model, and none was singular then, allowing us to have Child ICC for all `r dim(df.icc.mixed)[1]` metrics. 
 
 ```{r best_metric}
 
@@ -358,9 +372,9 @@ best_metric$icc_child_id=round(best_metric$icc_child_id,2)
 ```
 
 
-Figure 3 shows the distribution of Child ICC across all 69 metrics, separately for each pipeline. The majority of measures had Child ICCs between .3 and .5. `r sum(df.icc.mixed$icc_child_id > .5)` measures had Child ICCs higher or equal to .5. Surprisingly, the top 6 metrics in terms of Child ICC corresponded to the "other child" category, known to have the worst accuracy according to previous analyses (Cristia et al., 2020). In an analysis fully reported in the SM, we find some evidence that this may be due to the presence versus absence of siblings. The next metric with the highest Child ICC corresponded to an output measure, namely the total vocalization duration per hour extracted from ACLEW annotations (`r best_metric[best_metric$Type=="Output",c("metric","data_set")]`), with a Child ICC of `r best_metric[best_metric$Type=="Output","icc_child_id"]`. Among adult metrics, the average vocalization duration for female vocalizations for ACLEW (`r best_metric[best_metric$Type=="Female",c("metric","data_set")]`) and the ACLEW equivalent of CTC had the highest Child ICC (`r best_metric[best_metric$Type=="Female","icc_child_id"]` and `r best_metric[best_metric$Type=="Adults","icc_child_id"]`, respectively). 
+> Figure 5 shows the distribution of Child ICC across all `r dim(df.icc.mixed)[1]` metrics, separately for each pipeline. The majority of measures had Child ICCs between .3 and .5. `r sum(df.icc.mixed$icc_child_id > .5)` measures had Child ICCs higher or equal to .5. Surprisingly, the top 6 metrics in terms of Child ICC corresponded to the "other child" category, known to have the worst accuracy according to previous analyses (Cristia et al., 2020). In an analysis fully reported in the SM, we find some evidence that this may be due to the presence versus absence of siblings. The next metric with the highest Child ICC corresponded to an output measure, namely the total vocalization duration per hour extracted from ACLEW annotations (`r best_metric[best_metric$Type=="Output",c("metric","data_set")]`), with a Child ICC of `r best_metric[best_metric$Type=="Output","icc_child_id"]`. Among adult metrics, the average vocalization duration for female vocalizations for ACLEW (`r best_metric[best_metric$Type=="Female",c("metric","data_set")]`) and the ACLEW equivalent of CTC had the highest Child ICC (`r best_metric[best_metric$Type=="Female","icc_child_id"]` and `r best_metric[best_metric$Type=="Adults","icc_child_id"]`, respectively). 
 
-## SM J: Exploration: Are high Child ICCs for "other child" measures due to number or presence of siblings?
+## SM K: Are high Child ICCs for "other child" measures due to number or presence of siblings? (Exploration)
 
 ```{r explo-och-sibn}
 
@@ -404,7 +418,7 @@ Perhaps it is not so much the sheer number of siblings that explains variance, b
 As in the sibling number analysis, the full model was singular, so we fitted a No Corpus model to be able to extract a Child ICC. We again verified that sibling presence predicted the outcome, total vocalization duration by other children -- and found that it did: ß = `r round(summary(model_sib_presence)$coefficients["sib_presencepresent","Estimate"],2)`, t = `r round(summary(model_sib_presence)$coefficients["sib_presencepresent","t value"],2)`, p < .001. This effect is, as expected, sizable: It means that there is nearly one whole standard deviation increase in this variable when there are any siblings. In addition to being a better predictor, in this model, the amount of variance allocated to individual children as measured by Child ICC was considerably higher in our original analysis (`r round(df.icc.mixed[df.icc.mixed$metric=="voc_dur_och_ph" & df.icc.mixed$data_set=="aclew","icc_child_id"],2)`) than in this re-analysis including sibling presence (`r round(icc.result.split["icc_child_id"],2)`).
 
 
-## SM K: Exploration: are "bad" output measures those coming from VCM?
+## SM L: Are "bad" output measures those coming from VCM? (Exploration)
 
 Among ACLEW measures, a fair number of them come from VCM, a module that classifies child vocalizations in terms of vocal maturity types into cry, canonical, and non-canonical categories. In unpublished analyses, we have found that VCM labels are inaccurate when compared to human labels of the same vocalizations, relatively to other metrics. In this analysis, we checked whether VCM-derived measures had lower Child ICC than other ACLEW measures. As shown in the next Figure, this was not the case: Some output measures from the ACLEW pipeline have lower Child ICC than VCM ones.
 
@@ -426,9 +440,9 @@ panel.background = element_blank(), legend.key=element_blank(), axis.line = elem
 
 ```
 
-## SM L: Code to reproduce Figure 4
+## SM M: Code to reproduce Figure 5
 
-```{r icc-allexp-fig4, echo=F,fig.width=4, fig.height=3,fig.cap="Distribution of ICC attributed to corpus (a) and children (b), when combining data from all corpora."}
+```{r icc-allexp-fig5, echo=F,fig.width=4, fig.height=3,fig.cap="Figure 5 (reproduced). Violin plot reflecting the distribution of Child ICC."}
 
 
 ggplot(df.icc.mixed, aes(y = icc_child_id, x = toupper(data_set))) +
@@ -441,7 +455,7 @@ panel.background = element_blank(), legend.key=element_blank(), axis.line = elem
 ```
 
 
-## SM M: Code to reproduce text below Figure 4
+## SM N: Code to reproduce text below Figure 5
 
 ```{r reg model icc}
 
@@ -463,13 +477,13 @@ rownames(msds_p)<-msds_p$Group.1
 ```
 
 
-Next, we explored how similar Child ICCs were across different talker types and pipelines. We fit a linear model with the formula $lm(icc\_child\_id ~ type * pipeline)$, where type indicates whether the measure pertained to the key child, (female/male) adults, other children; and pipeline LENA or ACLEW. We found an adjusted R-squared of `r round(reg_sum$adj.r.squared*100)`%, suggesting much of the variance across Child ICCs was explained by these factors. A Type 3 ANOVA on this model revealed type was a signficant predictor (F(`r reg_anova["Type","Df"]`) = `r round(reg_anova["Type","F value"],1)`, p<.001), as was pipeline (F(`r reg_anova["data_set","Df"]`) = `r round(reg_anova["data_set","F value"],1)`, p = `r round(reg_anova["data_set","Pr(>F)"],3)`); the interaction between type and pipeline was not significant. The main effect of type emerged because output metrics tended to have higher Child ICC (`r msds["Output","x"]`)  than those associated to adults in general (`r msds["Adults","x"]`), females (`r msds["Female","x"]`), and males (`r msds["Male","x"]`); whereas those associated with other children had even higher Child ICCs (`r msds["Other children","x"]`). The main effect of pipeline arose because of slightly higher Child ICCs for the ACLEW metrics (`r msds_p["aclew","x"]`) than for LENA metrics (`r msds_p["lena","x"]`). 
+> Next, we explored how similar Child ICCs were across different talker types and pipelines. We fit a linear model with the formula $lm(icc\_child\_id ~ type * pipeline)$, where type indicates whether the measure pertained to the key child, (female/male) adults, other children; and pipeline LENA or ACLEW. We found an adjusted R-squared of `r round(reg_sum$adj.r.squared*100)`%, suggesting much of the variance across Child ICCs was explained by these factors. A Type 3 ANOVA on this model revealed type was a signficant predictor (F(`r reg_anova["Type","Df"]`) = `r round(reg_anova["Type","F value"],1)`, p<.001), as was pipeline (F(`r reg_anova["data_set","Df"]`) = `r round(reg_anova["data_set","F value"],1)`, p = `r round(reg_anova["data_set","Pr(>F)"],3)`); the interaction between type and pipeline was not significant. The main effect of type emerged because output metrics tended to have higher Child ICC (`r msds["Output","x"]`)  than those associated to adults in general (`r msds["Adults","x"]`), females (`r msds["Female","x"]`), and males (`r msds["Male","x"]`); whereas those associated with other children had even higher Child ICCs (`r msds["Other children","x"]`). The main effect of pipeline arose because of slightly higher Child ICCs for the ACLEW metrics (`r msds_p["aclew","x"]`) than for LENA metrics (`r msds_p["lena","x"]`). 
 
 
-## SM N: Code to reproduce Table 4
+## SM O: Code to reproduce Table 4
 
 
-```{r tab3, results="as.is"}
+```{r tab4, results="as.is"}
 key_metrics = c("wc_adu_ph", "lena_CVC_ph", "lena_CTC_ph",  "voc_fem_ph",  "voc_chi_ph")
 x <- merge(df.icc.mixed[df.icc.mixed$metric %in% key_metrics & df.icc.mixed$data_set=="lena",c("metric","icc_child_id")] ,
            df.icc.mixed[df.icc.mixed$metric %in% key_metrics & df.icc.mixed$data_set=="aclew",c("metric","icc_child_id")],
@@ -481,20 +495,20 @@ x["lena_CVC_ph","ACLEW ICC"]<-df.icc.mixed[df.icc.mixed$metric=="can_voc_chi_ph"
 x[,2:3]=round(x[,2:3],2)
 x=x[key_metrics,]
 
-kable(x,row.names = F,digits=2,caption="Most commonly used metrics.")
+kable(x,row.names = F,digits=2,caption="Table 4 (reproduced). Most commonly used metrics.")
 #x
 ```
 
 
 
-## SM O: Code to reproduce text at the beginning of the "Reliability across age groups" section
+## SM P: Code to reproduce text at the beginning of the "Reliability across age groups" section
 
-Out of `r dim(df.icc.age)[1]` fitted models (`r dim(df.icc.mixed)[1]` metrics times `r length(levels(factor(df.icc.age$age_bin)))` age bins), `r sum(df.icc.age$formula=="no_chi_effect")` were singular when including a random intercept per child, and therefore they could not be included in these analyses at all. In addition, `r sum(df.icc.age$formula=="no_exp")` were singular when including a random intercept per corpus. The remaining `r sum(df.icc.age$formula=="full")` could be analyzed with the full model.
+> Out of `r dim(df.icc.age)[1]` fitted models (`r dim(df.icc.mixed)[1]` metrics times `r length(levels(factor(df.icc.age$age_bin)))` age bins), `r sum(df.icc.age$formula=="no_chi_effect")` were singular when including a random intercept per child, and therefore they could not be included in these analyses at all. In addition, `r sum(df.icc.age$formula=="no_exp")` were singular when including a random intercept per corpus. The remaining `r sum(df.icc.age$formula=="full")` could be analyzed with the full model.
 
-## SM P: Code to reproduce Figure 5
+## SM Q: Code to reproduce Figure 6
 
 
-```{r relBYage-fig5, echo=F,fig.width=6, fig.height=10,fig.cap="Distribution of ICC attributed to corpus (a) and children (b), when binning children's age."}
+```{r relBYage-fig6,fig.width=6, fig.height=10,fig.cap="Figure 6 (reproduced). Child ICC by metric type and pipeline, when considering each age bin separately."}
 
 #this complicated section is just to add N of participants in each facet, we first estimate it:
 facet_labels_chi=facet_labels_cor=NULL
@@ -518,11 +532,15 @@ ggplot(df.icc.age, aes(y = icc_child_id, x = toupper(data_set))) +
   geom_quasirandom(aes(colour = Type,shape = Type)) +  
   theme(legend.position="none") +labs( y = "r",x="Pipeline") + facet_wrap(~age_bin, ncol = 3) +
   geom_text(x=1.5,y=max(df.icc.age$icc_child_id,na.rm=T),aes(label=facet_labels_chi),data=f_labels,size=3) +
-  geom_text(x=1.5,y=max(df.icc.age$icc_child_id,na.rm=T)*.95,aes(label=facet_labels_cor),data=f_labels,size=3)
+  geom_text(x=1.5,y=max(df.icc.age$icc_child_id,na.rm=T)*.95,aes(label=facet_labels_cor),data=f_labels,size=3) + 
+  theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
+panel.background = element_blank(), legend.key=element_blank(), axis.line = element_line(colour = "black")) 
+
+
 
 ```
 
-## SM Q: Code to reproduce text below Figure 5
+## SM R: Code to reproduce text below Figure 6
 
 ```{r reg model age}
 
@@ -537,20 +555,21 @@ reg_anova_age_icc=Anova(age_icc)
 
 ```
 
-As we did in the previous section for corpus, we checked whether Child ICC differed by talker types and pipelines across age bins by fitting a linear model with the formula $lm(Child_ICC ~ type * pipeline * age_bin)$. We found an adjusted R-squared of `r round(reg_sum_age_icc$adj.r.squared*100)`%, suggesting this model explained about a third of the variance in Child ICC.  A Type 3 ANOVA on this model revealed type was a signficant predictor (F(`r reg_anova["Type","Df"]`) = `r round(reg_anova["Type","F value"],1)`, p<.001), whereas as was pipeline (F(`r reg_anova["data_set","Df"]`) = `r round(reg_anova["data_set","F value"],1)`, p = `r round(reg_anova["data_set","Pr(>F)"],3)`); the interaction between type and pipeline was not significant. See below for more information.
+> To interrogate these results statistically, and assess whether Child ICCs tended to be higher or lower in certain age bins, we fit a linear model with the formula $lm(Child_ICC ~ type * pipeline * age_bin)$. We found an adjusted R-squared of `r round(reg_sum_age_icc$adj.r.squared*100)`%, suggesting this model explained about a third of the variance in Child ICC.  A Type 3 ANOVA on this model revealed type was a signficant predictor (F(`r reg_anova["Type","Df"]`) = `r round(reg_anova["Type","F value"],1)`, p<.001), whereas as was pipeline (F(`r reg_anova["data_set","Df"]`) = `r round(reg_anova["data_set","F value"],1)`, p = `r round(reg_anova["data_set","Pr(>F)"],3)`); the interaction between type and pipeline was not significant. 
 
+See table below for results of the Type 3 ANOVA.
 
 ```{r print out anova results rec on icc by age}
-kable(round(reg_anova_age_icc,2))
+kable(round(reg_anova_age_icc,2),caption="Type 3 ANOVA on model attempting to explain variation in Child ICC as a function of talker types, pipelines, and age bins.")
 
 ```
 
 
 
 
-## SM R: Code to reproduce Figure 6
+## SM S: Code to reproduce Figure 7
 
-```{r icc-bycor-fig6, echo=F,fig.width=4, fig.height=4,fig.cap="Correlations in Child ICC across age bins. Each point indicates the correlation in Child ICC for the age bin named in the x-axis with every other age bin."}
+```{r icc-bycor-fig7, echo=F,fig.width=4, fig.height=4,fig.cap="Figure 7 (reproduced). Correlations in Child ICC across age bins. Each point indicates the correlation in Child ICC for the age bin named in the x-axis with every other age bin."}
 
 r_X_age = NULL
 
@@ -574,23 +593,23 @@ r_X_age$ageA=factor(r_X_age$ageA,levels=age_levels)
 ggplot(r_X_age, aes(y = cor, x = ageA)) +
   geom_violin(alpha = 0.5) +
   geom_quasirandom() +
-  theme() +labs( y = "r",x="Age")
+  theme() +labs( y = "Correlation coefficient r",x="Age") + 
+  theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
+panel.background = element_blank(), legend.key=element_blank(), axis.line = element_line(colour = "black")) 
 ```
 
 
 
 
-## SM S: Code to reproduce text at the beginning of the "Reliability within corpus" section
-
+## SM T: Code to reproduce text in the "Reliability within corpus" section
 
+> Out of `r dim(df.icc.corpus)[1]` fitted models (`r dim(df.icc.mixed)[1]` metrics times `r length(levels(factor(df.icc.corpus$corpus)))` corpora), `r sum(df.icc.corpus$formula=="no_chi_effect")` were singular when including a random intercept per child, and therefore they could not be included in these analyses at all. (Including a random intercept per corpus is not relevant here, since only data from one corpus is included in each model fit.)
 
-Figure 7 addresses this question, showing the distribution of ICC across our `r dim(df.icc.mixed)[1]` metrics in each of the `r length(levels(factor(df.icc.corpus$corpus)))` included corpora.  Out of `r dim(df.icc.corpus)[1]` fitted models (`r dim(df.icc.mixed)[1]` metrics times `r length(levels(factor(df.icc.corpus$corpus)))` corpora), `r sum(df.icc.corpus$formula=="no_chi_effect")` were singular when including a random intercept per child, and therefore they could not be included in these analyses at all. (Including a random intercept per corpus is not relevant here, since only data from one corpus is included in each model fit.)
 
+## SM U: Code to reproduce Figure 8
 
-## SM T: Code to reproduce Figure 7
 
-
-```{r icc-bycor-fig7, echo=F,fig.width=4, fig.height=10,fig.cap="Child ICC by metric type and pipeline, when considering each corpus separately."}
+```{r icc-bycor-fig8, echo=F,fig.width=4, fig.height=10,fig.cap="Figure 8 (reproduced). Child ICC by metric type and pipeline, when considering each corpus separately."}
 
 facet_labels_chi = paste0("N chi=",chi_per_corpus)
 
@@ -604,12 +623,14 @@ ggplot(df.icc.corpus, aes(y = icc_child_id, x = toupper(data_set))) +
   geom_quasirandom(aes(colour = Type,shape = Type)) +  
   theme(legend.position = "top", axis.title.y=element_blank() ,axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +labs( y = "Child ICC",x="Pipeline") +   
   facet_wrap(~corpus,nrow=1) +
-  geom_text(x=1.5,y=max(df.icc.corpus$icc_child_id,na.rm=T),aes(label=facet_labels_chi),data=f_labels,size=3)
+  geom_text(x=1.5,y=max(df.icc.corpus$icc_child_id,na.rm=T),aes(label=facet_labels_chi),data=f_labels,size=3)+ 
+  theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
+panel.background = element_blank(), legend.key=element_blank(), axis.line = element_line(colour = "black")) 
 
 
 ```
 
-## SM U: Code to reproduce text below Figure 7
+## SM V: Code to reproduce text below Figure 8
 
 ```{r reg model corpus}
 
@@ -624,17 +645,19 @@ reg_anova_cor_icc=Anova(cor_icc)
 
 ```
 
-The fact that we cannot infer reliability from one corpus based on another one was confirmed statistically: We checked whether Child ICC differed by talker types and pipelines across corpora by fitting a linear model with the formula $lm(Child_ICC ~ type * pipeline * corpus)$, where type indicates whether the measure pertained to the key child, (female/male) adults, other children;  pipeline LENA or ACLEW; and corpus the corpus ID. We found an adjusted R-squared of `r round(reg_sum_cor_icc$adj.r.squared*100)`%, suggesting this model explained nearly half of the variance in Child ICC. A Type 3 ANOVA on this model revealed several significant effects and interactions, including a three-way interaction of type, pipeline, and corpus  (F(`r reg_anova_cor_icc["Type:data_set:corpus","Df"]`) = `r round(reg_anova_cor_icc["Type:data_set:corpus","F value"],1)`, p<.001); a two-way interaction of type and corpus  (F(`r reg_anova_cor_icc["data_set:corpus","Df"]`) = `r round(reg_anova_cor_icc["data_set:corpus","F value"],1)`, p<.001); and a main effect of corpus (F(`r reg_anova_cor_icc["corpus","Df"]`) = `r round(reg_anova_cor_icc["corpus","F value"],1)`, p<.001). See below for more information.
+> The fact that we cannot infer reliability from one corpus based on another one was confirmed statistically: We checked whether Child ICC differed by talker types and pipelines across corpora by fitting a linear model with the formula $lm(Child_ICC ~ type * pipeline * corpus)$, where type indicates whether the measure pertained to the key child, (female/male) adults, other children;  pipeline LENA or ACLEW; and corpus the corpus ID. We found an adjusted R-squared of `r round(reg_sum_cor_icc$adj.r.squared*100)`%, suggesting this model explained nearly half of the variance in Child ICC. A Type 3 ANOVA on this model revealed several significant effects and interactions, including a three-way interaction of type, pipeline, and corpus  (F(`r reg_anova_cor_icc["Type:data_set:corpus","Df"]`) = `r round(reg_anova_cor_icc["Type:data_set:corpus","F value"],1)`, p<.001); a two-way interaction of type and corpus  (F(`r reg_anova_cor_icc["data_set:corpus","Df"]`) = `r round(reg_anova_cor_icc["data_set:corpus","F value"],1)`, p<.001); and a main effect of corpus (F(`r reg_anova_cor_icc["corpus","Df"]`) = `r round(reg_anova_cor_icc["corpus","F value"],1)`, p<.001). 
+
+See Table below for results of the Type 3 ANOVA.
 
 
 ```{r print out anova results rec on icc by corpus}
-kable(round(reg_anova_cor_icc,2))
+kable(round(reg_anova_cor_icc,2),caption="Type 3 ANOVA on model attempting to explain variation in Child ICC as a function of talker types and pipelines across corpora.")
 
 ```
 
-## SM V: Code to reproduce Figure 8
+## SM W: Code to reproduce Figure 9
 
-```{r icc-bycor-fig8, echo=F,fig.width=4, fig.height=10,fig.cap="Correlations in Child ICC across corpora. Each point indicates the correlation in Child ICC for the corpus named in the x-axis with every other corpus."}
+```{r icc-bycor-fig9, echo=F,fig.width=4, fig.height=10,fig.cap="Figure 9 (reproduced). Correlations in Child ICC across corpora."}
 
 
 
@@ -657,10 +680,12 @@ r_X_corpus$cor=as.numeric(as.character(r_X_corpus$cor))
 ggplot(r_X_corpus, aes(y = cor, x = corpusA)) +
   geom_violin(alpha = 0.5) +
   geom_quasirandom() +  
-  theme() +labs( y = "r",x="Corpus")
+  theme() +labs( y = "Correlation coefficient r",x="Corpus") + 
+  theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
+panel.background = element_blank(), legend.key=element_blank(), axis.line = element_line(colour = "black")) 
 ```
 
-## SM W: Code to reproduce text in the Discussion section
+## SM X: Code to reproduce text in the Discussion section
 
 
 ```{r bias}
@@ -684,15 +709,15 @@ bias_tab$rec_per_corpus<-bias_tab$rec_per_corpus/sum(bias_tab$rec_per_corpus)
 
 ```
 
-Our data draws mainly from urban (`r round(sum(bias_tab$rec_per_corpus[urban])*100)`% of recordings, `r round(sum(bias_tab$chi_per_corpus[urban])*100)`% of the children, `r round(sum(urban)/length(urban)*100)`% of the corpora), English-speaking settings (`r round(sum(bias_tab$rec_per_corpus[english])*100)`% of recordings, `r round(sum(bias_tab$chi_per_corpus[english])*100)`% of the children, `r round(sum(english)/length(english)*100)`% of the corpora), and almost exclusively from North America (`r round(sum(bias_tab$rec_per_corpus[northam])*100)`% of recordings, `r round(sum(bias_tab$chi_per_corpus[northam])*100)`% of the children, `r round(sum(northam)/length(northam)*100)`% of the corpora). 
+> Our data draws mainly from urban (`r round(sum(bias_tab$rec_per_corpus[urban])*100)`% of recordings, `r round(sum(bias_tab$chi_per_corpus[urban])*100)`% of the children, `r round(sum(urban)/length(urban)*100)`% of the corpora), English-speaking settings (`r round(sum(bias_tab$rec_per_corpus[english])*100)`% of recordings, `r round(sum(bias_tab$chi_per_corpus[english])*100)`% of the children, `r round(sum(english)/length(english)*100)`% of the corpora), and almost exclusively from North America (`r round(sum(bias_tab$rec_per_corpus[northam])*100)`% of recordings, `r round(sum(bias_tab$chi_per_corpus[northam])*100)`% of the children, `r round(sum(northam)/length(northam)*100)`% of the corpora). 
 
-## SM X: Variability as a function of hardware
+## SM Y: Variability as a function of hardware
 
 Another potential negative contribution to reliability that is currently not discussed is variability in the experimental setup. In a corpus collected in the Solomon Islands, children were wearing two recorders simultaneously. These were USB devices, sourced from two different providers. In this dataset, the duration of the recordings could be very different within the same pair (a ~10% difference was not atypical), which means that what is actually recorded is somewhat random in itself. Even comparing identical audio ranges covered by both recordings of each pair, the corresponding ACLEW metrics differed slightly; they were strongly correlated (R^2 was close to 0.95) but not perfectly correlated. This suggests that randomness in the recorders properties and their placement may also contribute to a decrease reliability. This reliability is importantly not at all due to changing underlying conditions, as both recorders picked up on the exact same day, so it is not due to variability in underlying behaviors. It is also not due to algorithmic variation because ACLEW algorithms are deterministic. Thus, this variability is only due to hardware differences and potentially also differences in e.g. USB placement.
 
-## Save information about packages used
 
 ```{r}
+# Save information about packages used
 writeLines(capture.output(sessionInfo()), "sessionInfo.txt")
 ```
 

CODE/create-all-rs.R

@@ -17,7 +17,7 @@ mydat_lena = merge(mydat_lena,dist_contig_lena[,c("session_id","next_session")],
 #sum(table(dist_contig_lena$experiment[!duplicated(dist_contig_lena$child_id)])) #and overall
 # maximally, we'll have 148 rows in the samples below
 
-#given those two numbers, with 5 draws we'd cover many combinations in winni, lucid, & trio; but we'll do 10 because there are a lot of recs in cougar & bergelson. Later increased to 20 bc there was a lot of variability still in the average r
+#given those two numbers, with 5 draws we'd cover many combinations in winni, lucid, & trio; but we'll do more because there are a lot of recs in cougar & bergelson. Later increased to 20 bc there was a lot of variability still in the average r
 
 mydat_aclew <- read.csv(paste0('../data_output/', "aclew",'_metrics_scaled.csv')) #1254
 #mydat_aclew=mydat_aclew[order(mydat_aclew$experiment,mydat_aclew$child_id,mydat_aclew$age),]

CODE/regenerate_data.R

@@ -36,7 +36,7 @@ for (data_set in data_sets){ #data_set="aclew";data_set="lena"
     mydat2$lena_CVC_ph=mydat2$lena_CVC/(mydat2$duration_its/(60*60*1000))
   }
   # Remove FauseyElse
-  # if needed, in the terminal, do `datalad get input/el1000-metrics/EL1000/fausey-trio/metadata/recordings.csv`
+  # if needed, in the terminal, do `datalad get input/laac-metrics/datasets/fausey-trio/metadata/recordings.csv`
   fausey_trio <- read.csv('../input/laac-metrics/datasets/fausey-trio/metadata/recordings.csv')
   fausey_trio_full <- fausey_trio[fausey_trio$Trio_Subset == "Trio_Full", ]
   fausey_trio_full$session_id <- paste0(fausey_trio_full$HomeBank_ID, "/", fausey_trio_full$fileName)

CODE/sessionInfo.txt

@@ -1,39 +1,43 @@
-R version 4.2.0 (2022-04-22)
-Platform: x86_64-apple-darwin17.0 (64-bit)
-Running under: macOS Big Sur/Monterey 10.16
+R version 4.3.0 (2023-04-21)
+Platform: aarch64-apple-darwin20 (64-bit)
+Running under: macOS Ventura 13.4.1
 
 Matrix products: default
-BLAS:   /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRblas.0.dylib
-LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib
+BLAS:   /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/lib/libRblas.0.dylib 
+LAPACK: /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.11.0
 
 locale:
 [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
 
+time zone: Europe/Paris
+tzcode source: internal
+
 attached base packages:
 [1] stats     graphics  grDevices utils     datasets  methods   base     
 
 other attached packages:
- [1] ggbeeswarm_0.7.1  car_3.1-1         carData_3.0-5     stringr_1.5.0    
- [5] tidyr_1.2.1       dplyr_1.0.10      psych_2.2.9       kableExtra_1.3.4 
- [9] ggpubr_0.5.0      ggthemes_4.2.4    ggplot2_3.4.0     performance_0.9.0
-[13] lme4_1.1-31       Matrix_1.5-3     
+ [1] ggbeeswarm_0.7.2      car_3.1-2             carData_3.0-5        
+ [4] stringr_1.5.0         tidyr_1.3.0           dplyr_1.1.2          
+ [7] psych_2.3.6           kableExtra_1.3.4.9000 ggpubr_0.6.0         
+[10] ggthemes_5.0.0        ggplot2_3.4.2         performance_0.10.4   
+[13] lme4_1.1-33           Matrix_1.5-4.1       
 
 loaded via a namespace (and not attached):
- [1] httr_1.4.4        sass_0.4.4        jsonlite_1.8.4    viridisLite_0.4.1
- [5] splines_4.2.0     bslib_0.4.2       assertthat_0.2.1  highr_0.10       
- [9] vipor_0.4.5       yaml_2.3.6        pillar_1.8.1      backports_1.4.1  
-[13] lattice_0.20-45   glue_1.6.2        digest_0.6.31     ggsignif_0.6.4   
-[17] rvest_1.0.3       minqa_1.2.5       colorspace_2.0-3  cowplot_1.1.1    
-[21] htmltools_0.5.4   pkgconfig_2.0.3   broom_1.0.2       purrr_1.0.0      
-[25] scales_1.2.1      webshot_0.5.4     svglite_2.1.0     tibble_3.1.8     
-[29] mgcv_1.8-40       generics_0.1.3    farver_2.1.1      cachem_1.0.6     
-[33] withr_2.5.0       cli_3.5.0         mnormt_2.1.1      magrittr_2.0.3   
-[37] evaluate_0.19     fansi_1.0.3       nlme_3.1-157      MASS_7.3-56      
-[41] rstatix_0.7.1     xml2_1.3.3        beeswarm_0.4.0    tools_4.2.0      
-[45] lifecycle_1.0.3   munsell_0.5.0     compiler_4.2.0    jquerylib_0.1.4  
-[49] systemfonts_1.0.4 rlang_1.0.6       grid_4.2.0        nloptr_2.0.3     
-[53] rstudioapi_0.14   labeling_0.4.2    rmarkdown_2.19    boot_1.3-28      
-[57] gtable_0.3.1      abind_1.4-5       DBI_1.1.2         R6_2.5.1         
-[61] gridExtra_2.3     knitr_1.41        fastmap_1.1.0     utf8_1.2.2       
-[65] insight_0.17.1    stringi_1.7.8     parallel_4.2.0    Rcpp_1.0.9       
-[69] vctrs_0.5.1       tidyselect_1.2.0  xfun_0.36        
+ [1] beeswarm_0.4.0    gtable_0.3.3      xfun_0.39         bslib_0.5.0      
+ [5] insight_0.19.2    rstatix_0.7.2     lattice_0.21-8    vctrs_0.6.3      
+ [9] tools_4.3.0       generics_0.1.3    parallel_4.3.0    tibble_3.2.1     
+[13] fansi_1.0.4       highr_0.10        pkgconfig_2.0.3   webshot_0.5.5    
+[17] lifecycle_1.0.3   farver_2.1.1      compiler_4.3.0    mnormt_2.1.1     
+[21] munsell_0.5.0     vipor_0.4.5       htmltools_0.5.5   sass_0.4.7       
+[25] yaml_2.3.7        pillar_1.9.0      nloptr_2.0.3      jquerylib_0.1.4  
+[29] MASS_7.3-60       cachem_1.0.8      boot_1.3-28.1     abind_1.4-5      
+[33] nlme_3.1-162      tidyselect_1.2.0  rvest_1.0.3       digest_0.6.33    
+[37] stringi_1.7.12    purrr_1.0.1       labeling_0.4.2    splines_4.3.0    
+[41] cowplot_1.1.1     fastmap_1.1.1     grid_4.3.0        colorspace_2.1-0 
+[45] cli_3.6.1         magrittr_2.0.3    utf8_1.2.3        broom_1.0.5      
+[49] withr_2.5.0       scales_1.2.1      backports_1.4.1   rmarkdown_2.23   
+[53] httr_1.4.6        gridExtra_2.3     ggsignif_0.6.4    evaluate_0.21    
+[57] knitr_1.43        viridisLite_0.4.2 mgcv_1.8-42       rlang_1.1.1      
+[61] Rcpp_1.0.10       glue_1.6.2        xml2_1.3.5        svglite_2.1.1    
+[65] rstudioapi_0.15.0 minqa_1.2.5       jsonlite_1.8.7    R6_2.5.1         
+[69] systemfonts_1.0.4

OUTPUT/df.icc.age.csv

@@ -1,409 +1,409 @@
 "data_set","age_bin","metric","iqr","age_b","age_se","age_t","icc_adjusted","icc_conditional","icc_child_id","icc_corpus","child_id_var","corpus_var","residual_var","child_id_sd","corpus_sd","residual_sd","r2_cond","r2_marg","nobs","nchi","ncor","formula","sw"
-"aclew","(0,6]","wc_adu_ph","1.39997382975514","-1.177052078172","0.610030542949842","-1.92949696007071","0.330030132314814","0.31939567837105","0.330030132314813",NA,"0.318647264236867",NA,"0.64686234545208","0.564488497878272",NA,"0.804277530117608","0.351618354128486","0.0322226757574363","124","64",NA,"no_exp","0.208274604712742"
-"aclew","(0,6]","sc_fem_ph","1.44487159073443","-1.51301590935268","0.57515228665316","-2.63063530209885","0.458966154282723","0.436082477564865","0.458966154282723",NA,"0.471283420529921",NA,"0.555553561091191","0.686500852534009",NA,"0.74535465457136","0.48594165891043","0.0498591813455649","128","64",NA,"no_exp","0.0171695398771508"
-"aclew","(0,6]","sc_mal_ph","1.50613056246636","-1.10628281411005","0.626183845210403","-1.76670609210356","0.176284911678586","0.17086860541427","0.176284911678586",NA,"0.168956271570871",NA,"0.789471026387121","0.411042907213919",NA,"0.888521820996604","0.201593335130172","0.0307247297159017","127","63",NA,"no_exp","0.398424717472775"
-"aclew","(0,6]","pc_fem_ph","1.46158723937821","-1.49757029323703","0.575431206815314","-2.60251838186747","0.456817227415525","0.434440318333659","0.456817227415525",NA,"0.468186203815171",NA,"0.556701159702109","0.684241334483069",NA,"0.746124091356196","0.483424699260939","0.0489843809272804","128","64",NA,"no_exp","0.0189371478732747"
-"aclew","(0,6]","pc_mal_ph","1.50146890346499","-1.02033461410979","0.629386064812931","-1.62115857206507","0.189974690471187","0.185072001403593","0.189974690471187",NA,"0.184805068313472",NA,"0.787982769135334","0.429889600145749",NA,"0.887683935382033","0.210879065783769","0.0258070643801763","128","64",NA,"no_exp","0.621019482224646"
-"aclew","(0,6]","sc_adu_ph","1.40457701990613","-1.18835525771088","0.608287510473829","-1.95360785360396","0.340840308637312","0.329692489032433","0.340840308637313",NA,"0.330304170922305",NA,"0.638783588218826","0.574720950481453",NA,"0.799239381048523","0.362399358854985","0.0327068698225525","124","64",NA,"no_exp","0.193302397415995"
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OUTPUT/df.icc.mixed.csv

@@ -1,69 +1,69 @@
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data_output/all_rs.csv

@@ -1,69 +1,69 @@
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data_output/lena_base_data_set.csv

@@ -110,7 +110,7 @@
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@@ -371,8 +371,8 @@
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@@ -629,7 +629,7 @@
 "cougar BH35 e20110419_170007_003577","cougar","cougar BH35",36727490,281.217148245088,339,0.507280958168725,0.616818722729076,3584.73,1951.53330652326,278.838221724381,1672.69508479888,1216.21512151215,1058.15136476427,1526.31460674157,1466.3053328686,264890.086417558,83597.6539643738,66575.6358520552,412350.204165871,467,217.798711537325,188,79.0034930238903,185,43.6185538407335,483,155,"2011-04-15","2010-01-26",14,0,"e20110419_170007_003577.its",90.904,61.7521099318249,156.830755382412
 "cougar KC10 e20110421_111820_003541","cougar","cougar KC10",44378240,165.486508703365,462,0.780102482511461,0.799469111969112,3052.35,1432.5128711729,539.158290189066,893.354580983833,1072.75953389831,1081.49437600428,1541.69230769231,1388.85784313725,328599.421698562,163795.139239411,138195.025309701,229837.235546069,484,306.312282776424,328,151.452603798618,273,89.6385255476558,360,152,"2011-04-19","2008-09-08",31,0,"e20110421_111820_003541.its",105.082,88.8273171716589,272.566014334953
 "cougar WG24 e20110424_180615_003559","cougar","cougar WG24",43525990,111.078461397432,673,0.848817557642297,0.863982371794872,4314.54,2233.49589521111,1676.86873980351,556.627155407608,1275.45325779037,1062.58675078864,1588.96484375,1249.06924795235,446862.94326677,139298.841910316,403728.439031484,138744.690241394,604,350.356189485868,197,131.094088842092,422,254.082675661139,194,222,"2011-04-17","2007-08-13",44,0,"e20110424_180615_003559.its",99.035,108.100930042028,363.176116154969
-"cougar PA99 e20110425_134043_003684","cougar","cougar PA99",57599990,204.375035481777,251,0.421288635007303,0.555,4463.38,1490.84588382741,160.712527901481,1330.13335592593,1276.74664107486,1268.08657465496,1340.50420168067,1579.50458715596,166296.278870882,126333.146932838,39880.0069236123,322811.30604363,386,130.250022612851,300,99.6250172960099,135,29.7500051649315,536,104,"2011-04-22","2010-04-27",11,0,"e20110425_134043_003684.its",72.07,36.6250063585081,77.18751340061
+"cougar PA99 e20110425_134043_003684","cougar","cougar PA99",57599990,204.375035481777,251,0.421288635007303,0.555,4463.38,1490.84588382741,160.712527901481,1330.13335592593,1276.74664107486,1268.08657465496,1340.50420168067,1579.50458715596,166296.278870882,126333.146932838,39880.0069236123,322811.30604363,386,130.250022612851,300,99.6250172960099,135,29.7500051649315,536,104,"2011-04-22","2010-04-27",11,0,"e20110425_134043_003684.its",72.07,36.625006358508,77.18751340061
 "cougar BN32 e20110428_131730_003264","cougar","cougar BN32",41769860,160.13460423377,395,0.520216394260366,0.604484047139983,2266.34,1321.5121142374,499.476033675957,822.036080561438,997.151033386328,1032.12560386473,1433.67804878049,1283.44994617869,270284.45869821,92068.778779723,126652.854474494,205524.749185178,500,271.056690158885,199,89.2030760936235,187,88.3412106241199,268,119,"2011-04-23","2009-07-17",21,0,"e20110428_131730_003264.its",104.846,57.0554940811389,183.83590464512
 "cougar PA99 e20110429_145001_003581","cougar","cougar PA99",57599990,97.6250169487877,233,0.575411155586495,0.64982206405694,1946.53,669.969491314148,153.807526702696,516.161964611452,1016.17598684211,1172.72727272727,1486.86440677966,1302.49679897567,77229.3884078799,63693.7610579446,43862.5076150187,127156.272075742,215,76.0000131944467,240,54.3125094292551,204,29.5000051215287,328,57,"2011-04-25","2010-04-27",11,0,"e20110429_145001_003581.its",107.729,18.0625031358512,59.4375103190122
 "cougar BE05 e20110502_135242_003606","cougar","cougar BE05",44014550,178.468256519719,504,0.767781282067842,0.779278173336607,3501.3,1258.36151908857,169.060640174669,1089.3008789139,1130.85082246171,1131.44612144612,1265.46599496222,1492.45187901008,326132.335784417,263652.905686869,41091.0483010732,266355.284786508,547,288.395541928749,505,233.022943549349,132,32.4710805858517,388,80,"2011-04-28","2007-08-27",44,0,"e20110502_135242_003606.its",97.404,42.2042256481095,263.203872355846
@@ -675,7 +675,7 @@
 "cougar S1RA e20131016_085223_009235","cougar","cougar S1RA",40208239,77.0886782681529,497,0.849138927447283,0.846943765281174,2707.49,643.970704611062,283.518907654722,360.45179695634,989.254115226337,1044.29760665973,1465.74935400517,1307.6887340302,172183.516915526,89853.5247962489,101575.301519671,100807.996092542,500,174.053879852833,440,86.0420671494715,232,69.2992299414058,346,63,"2013-10-12","2009-06-13",51,5843710,"e20131016_085223_009235.its",NA,21.8462688704173,157.66917820002
 "cougar S1RJ e20131016_085401_009232","cougar","cougar S1RJ",40137609,72.6500674218038,232,0.333996393619701,0.499718626899268,2797.36,635.11765237436,211.608120453812,423.509531920549,1376.07458912769,1154.67048710602,1405.62945368171,1423.56790123457,195253.783054192,144575.427998215,53076.7041953097,103422.304004207,349,141.891860075671,449,125.209252001035,173,37.7600967710857,324,55,"2013-10-12","2012-02-08",20,5914270,"e20131016_085401_009232.its",97.375,18.6558197823891,82.3367430780443
 "cougar S1HR e20140401_094707_009236","cougar","cougar S1HR",44487989,304.019136490975,446,0.695730628962134,0.790979097909791,4560.42,2287.23298776216,399.727306172459,1887.5056815897,1242.9534591195,1081.97406340058,1410.29445073613,1584.70322065478,399808.226890184,182287.673196467,100769.760575152,481780.104737933,507,321.659852954918,400,168.476934302425,204,71.4529937507402,613,148,"2014-03-31","2010-04-26",47,710,"e20140401_094707_009236.its",97.306,94.2726361490514,297.46455835529
-"cougar S1HR e20141112_161807_009233","cougar","cougar S1HR",36434180,209.967673212352,761,0.883747028973512,0.878616224964596,2455.11,1229.59045599489,243.507168268917,986.083287725976,1125.24652943992,1130.32141567353,1393.97286821705,1320.23058823529,464525.563632831,309256.198437841,71071.8341952529,277205.744715539,668,412.821147614685,601,273.600229235295,140,50.9850914717993,388,157,"2014-11-07","2010-04-26",54,0,"e20141112_161807_009233.its",NA,82.2085195824361,442.364834339623
+"cougar S1HR e20141112_161807_009233","cougar","cougar S1HR",36434180,209.967673212352,761,0.883747028973512,0.878616224964596,2455.11,1229.59045599489,243.507168268917,986.083287725976,1125.24652943992,1130.32141567353,1393.97286821705,1320.23058823529,464525.563632831,309256.198437841,71071.8341952529,277205.744715539,668,412.821147614685,601,273.600229235295,140,50.9850914717993,388,157,"2014-11-07","2010-04-26",54,0,"e20141112_161807_009233.its",NA,82.208519582436,442.364834339623
 "cougar S1GC e20141113_144912_009236","cougar","cougar S1GC",54122990,152.652320206256,652,0.879595401432119,0.879887745556595,2865.48,950.024231846762,110.347340381601,839.676891465161,1234.38986784141,1198.07302231237,1367.04545454545,1403.63834422658,372759.671998905,157148.74584719,28006.2132561412,214268.649976655,626,301.978881802354,245,131.167919584635,71,20.4866730385738,440,179,"2014-11-08","2011-05-10",41,0,"e20141113_144912_009236.its",114.157,68.3775970248502,320.004493469411
 "cougar S1SA e20141204_092246_009235","cougar","cougar S1SA",43381930,370.356966598766,853,0.970083752988641,0.952158475051392,4547.65,2737.09150330564,460.505652929688,2276.58585037595,1258.25216107949,1091.57038242474,1510.86729362591,1569.25386511315,495238.547478178,222652.334739372,119986.362985695,581184.101306696,734,393.5924473623,570,203.974327559885,243,79.4155538953661,648,310,"2014-12-01","2011-06-23",41,0,"e20141204_092246_009235.its",120.332,153.022237599849,428.445668507602
 "cougar S1HR e20141215_130044_009233","cougar","cougar S1HR",40760300,196.956352136761,563,0.928624290375774,0.911076032622994,2219.98,1211.4228796157,261.574816672105,949.8480629436,1148.11589895988,1094.4,1387.22513089005,1343.91479820628,341221.139196718,108741.103475686,70204.7825948288,264692.556237319,541,297.200952887982,170,99.3613884098007,105,50.6080671633918,415,143,"2014-12-12","2010-04-26",55,0,"e20141215_130044_009233.its",NA,83.2869237959485,312.392205160413
@@ -692,7 +692,7 @@
 "cougar S1SA e20150224_091901_009235","cougar","cougar S1SA",44393860,170.13163532074,859,0.927140789972875,0.92400234741784,3478.99,1731.4883634809,810.720221219781,920.768142261114,1602.84126690128,1183.72093023256,1672.56288239293,1405.58627264061,701751.638627504,86679.5543347661,199514.617561978,239134.691148731,725,437.817301762,256,73.2263425617867,217,119.286766232988,500,221,"2015-02-22","2011-06-23",44,0,"e20150224_091901_009235.its",126.206,130.153133789222,522.720934831979
 "cougar S1SA e20150224_092010_009228","cougar","cougar S1SA",45058430,248.397469685473,689,0.958183816289989,0.947709994437233,3681.49,1942.0183970014,421.596580262561,1520.42181673884,1414.62072051913,1241.115935736,1563.61650485437,1550.25410099711,505099.3565466,228366.678554934,102939.938209121,385079.196057208,599,357.056382124277,491,184.001084813652,207,65.8345175364521,472,197,"2015-02-23","2011-06-23",44,0,"e20150224_092010_009228.its",121.849,98.8316725638244,419.695049294882
 "cougar S1SA e20150224_092118_009230","cougar","cougar S1SA",25832990,45.0122111300318,618,0.956748135354977,0.914935319482556,1263.34,870.729869055034,707.473505776916,163.256363278118,1666.20087336245,963.125,1749.62532299742,1102.22910216718,478556.450492181,17179.8928424468,188718.224255109,49613.7690604146,513,287.214139749212,40,17.8376564230467,166,107.86207868311,90,115,"2015-02-16","2011-06-23",43,0,"e20150224_092118_009230.its",134.39,70.6538422381614,332.365707570049
-"cougar S1GC e20150317_165019_009236","cougar","cougar S1GC",35953110,252.428788497017,585,0.81832336619423,0.824150306100908,2649.73,1355.97916285962,59.4494328863344,1296.52972997329,1206.94220921726,1070.10545621275,1264.91525423729,1262.49504165014,495612.535327264,233694.386938988,14945.4664700773,318690.093847236,669,410.634851894593,489,218.384445740577,23,11.8153895448822,432,169,"2015-03-13","2011-05-10",46,0,"e20150317_165019_009236.its",97.11,90.0172474648229,394.914375974707
+"cougar S1GC e20150317_165019_009236","cougar","cougar S1GC",35953110,252.428788497017,585,0.81832336619423,0.824150306100908,2649.73,1355.97916285962,59.4494328863344,1296.52972997329,1206.94220921726,1070.10545621275,1264.91525423729,1262.49504165014,495612.535327264,233694.386938988,14945.4664700773,318690.093847236,669,410.634851894593,489,218.384445740577,23,11.8153895448822,432,169,"2015-03-13","2011-05-10",46,0,"e20150317_165019_009236.its",97.11,90.017247464823,394.914375974707
 "cougar S1VL e20150413_105742_008790","cougar","cougar S1VL",48414990,158.82684267827,246,0.62074965150009,0.707680250783699,5245.91,1221.93386800245,182.510334092809,1039.42353390964,1172.85977859779,1175.86797066015,1413.60986547085,1646.28277153558,94536.1756761697,71521.1549150377,46879.9435877194,261473.894758627,209,80.6031355165002,321,60.8241373178018,141,33.1632826940582,623,52,"2015-04-11","2014-11-13",4,0,"e20150413_105742_008790.its",135.1,16.8790698913704,69.9700650562977
 "cougar S1VL e20150415_132800_009231","cougar","cougar S1VL",46843860,65.0159914234224,189,0.597785797009729,0.653769841269841,1498.36,457.689524304786,103.30856594653,354.380958358257,1159.08787541713,1110.29220779221,1733.07692307692,1465.37825059102,80080.334968126,26280.7548310494,38091.9932729711,95273.0197724953,239,69.0890972690978,95,23.6701245371325,89,21.9794013559088,213,39,"2015-04-14","2014-11-13",4,0,"e20150415_132800_009231.its",116.758,6.762892724895,56.5623755173037
 "cougar S1HR e20150420_151540_009237","cougar","cougar S1HR",38617489,268.292948824301,508,0.914421502696052,0.908765652951699,4535.36,2088.04068022134,687.285804625982,1400.75487559536,1114.09507923269,1097.52627324171,1571.32292522597,1411.10111188325,249051.925670258,126561.93156422,178268.452410254,378588.478396407,463,223.546383349782,179,115.315628108291,332,113.451187880186,429,124,"2015-04-17","2010-04-26",59,1020,"e20150420_151540_009237.its",NA,76.5352713637078,243.962003847531
@@ -718,7 +718,7 @@
 "cougar S1SE e20150628_075357_009232","cougar","cougar S1SE",30752300,196.668216686232,124,0.421026782790911,0.559757942511346,5564.14,1842.09519287988,420.700240307229,1421.39495257265,1278.77622377622,965.016077170418,1540.24590163934,1841.4880952381,85627.9367722089,35133.3721380189,109987.870825922,362162.179739402,193,66.9608452050741,104,36.4070329698917,206,71.4092929634531,558,52,"2015-06-27","2015-05-04",1,0,"e20150628_075357_009232.its",NA,14.8671806661616,47.6452167805335
 "cougar S1SE e20150628_220900_009232","cougar","cougar S1SE",18282990,248.099462943424,153,0.489423683285308,0.62453531598513,8074.68,2305.94273693745,589.118081889231,1716.82465504822,1335.93147751606,1017.5,1786.43031784841,1746.24603174603,122844.676937416,48084.0387704637,143868.152856836,433242.702643277,200,91.9543247576026,115,47.2570405606523,359,80.5338732887783,746,86,"2015-06-28","2015-05-04",1,5426650,"e20150628_220900_009232.its",NA,30.1263633574158,70.2948478339703
 "cougar S1SE e20150629_202507_009232","cougar","cougar S1SE",31126240,152.321642447016,110,0.494620662225316,0.671957671957672,3680.07,1173.52201872118,211.19042968248,962.331589038702,1290.61349693252,1078.67469879518,1508.40390879479,1614.30523917995,72992.9474295642,62129.1874636962,53558.926487748,245893.625442713,121,56.5567829586869,88,57.5977053444296,87,35.5070191581123,481,41,"2015-06-29","2015-05-04",1,0,"e20150629_202507_009232.its",NA,12.7223847146331,49.8486164727895
-"cougar S1SE e20150630_221509_009232","cougar","cougar S1SE",51404180,20.3096324073256,126,0.601399573639818,0.631436314363144,524.11,137.15444930743,42.3918054913044,94.7626438161254,965.466237942122,1686.14678899083,1486.79611650485,1280.34482758621,21028.1731952538,51485.6184847224,10724.8865753719,26003.3328028966,113,21.7803299264768,181,30.5344818261861,28,7.21342116536048,95,19,"2015-06-30","2015-05-04",1,0,"e20150630_221509_009232.its",NA,3.50166075988373,21.0799977745001
+"cougar S1SE e20150630_221509_009232","cougar","cougar S1SE",51404180,20.3096324073256,126,0.601399573639818,0.631436314363144,524.11,137.15444930743,42.3918054913044,94.7626438161254,965.466237942122,1686.14678899083,1486.79611650485,1280.34482758621,21028.1731952538,51485.6184847224,10724.8865753719,26003.3328028966,113,21.7803299264768,181,30.5344818261861,28,7.21342116536048,95,19,"2015-06-30","2015-05-04",1,0,"e20150630_221509_009232.its",NA,3.50166075988373,21.0799977745
 "cougar S1SE e20150703_102022_009232","cougar","cougar S1SE",25105490,193.439761582028,132,0.363473498696418,0.582840236686391,4774.05,1918.84786952973,610.217127807503,1308.63074172223,1358.41483979764,1299.05940594059,1488.15295815296,1658.65826538176,115510.352516521,75256.5275563233,147881.75813338,320850.459401509,172,85.0331939348724,162,57.9315520230834,212,99.3726870098931,454,55,"2015-07-01","2015-05-04",1,0,"e20150703_102022_009232.its",NA,26.5280621887882,63.237164460841
 "cougar S1SE e20150706_201910_009232","cougar","cougar S1SE",34310430,144.690696094453,131,0.473148936590849,0.658008658008658,2849.66,1096.41447221734,146.58353159666,949.83094062068,1470.60344827586,1079.64803312629,1317.19512195122,1732.55982596084,89495.2351223812,54714.9073911344,45331.5216393382,250685.287243558,143,60.8561303370433,130,50.678467159986,112,34.4151909492245,350,26,"2015-07-06","2015-05-04",2,0,"e20150706_201910_009232.its",76.433,9.33826827585664,52.5671056876874
 "cougar S1SE e20150707_221200_009232","cougar","cougar S1SE",31313990,200.958102113464,121,0.46400021378452,0.679796696315121,4070.4,1480.86117419083,213.811143198296,1267.05003099254,1429.73013493253,1098.13596491228,1563.20512820513,1604.40503432494,109633.681303469,57568.5180968634,56070.5294981572,322418.190719228,140,76.6813810696114,72,52.4238527252516,98,35.8689518646458,559,69,"2015-07-07","2015-05-04",2,0,"e20150707_221200_009232.its",87.324,21.8432719688548,67.3692493355206
@@ -773,7 +773,7 @@
 "lucid C012 0454","lucid","lucid C012",57599990,78.8125136827281,619,0.851007488979471,0.875938803894298,1902.76,707.791372880447,315.307554740895,392.483818139552,1197.58177927239,1084.80682839173,1406.34444444444,1225.38461538462,244830.667505324,75461.8881010222,79106.8887338348,96575.6417666045,645,204.437535492628,170,69.562512076825,275,56.2500097656267,235,160,"1001-09-01","0999-02-01",30,0,NA,NA,47.750008289932,199.062534559468
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@@ -871,7 +871,7 @@
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@@ -910,7 +910,7 @@
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@@ -936,7 +936,7 @@
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@@ -1082,7 +1082,7 @@
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data_output/lena_metrics.csv

@@ -21,7 +21,7 @@
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 "bergelson 4 123967-9947","bergelson","bergelson 4",35310800,309.321793898751,282,0.677453960307527,0.721401435204728,4429.1,1971.56246814006,70.1142993078605,1901.4481688322,1085.8064516129,1101.67019027484,1299.05797101449,1517.14568226763,236787.158603034,159378.207234047,18276.9011180715,469286.224044768,338,218.074923252942,330,144.669619493186,38,14.0693498872866,650,117,"1000-06-01","0999-07-01",11,0,"123967-9947.its",96.677,63.5159781143446,177.192247131189,-0.508464772689412
 "bergelson 35 123968-9973","bergelson","bergelson 35",40255180,101.949612447392,175,0.543873099002244,0.588358678552701,3816.85,1334.00889028443,845.257082442558,488.751807841873,1196.66471277843,973.504273504274,1755.72828216852,1271.67543859649,182571.18711182,20372.0365925578,240388.24320249,129646.818123779,234,152.566700732676,50,20.9264993970962,360,136.916540927155,234,56,"1000-04-01","0999-07-01",9,0,"123968-9973.its",95.704,26.5605569270837,103.291054716436,-0.679042111425646
-"bergelson 37 123969-9993","bergelson","bergelson 37",57599990,52.3750090928835,424,0.666286183289714,0.733657646701125,2395.94,800.4032639589,529.056966850168,271.346297108732,1172.15885947047,1103.66502463054,1564.37855402112,1316.75417661098,215823.787469408,70013.762155167,120359.395895728,68965.0119730924,463,184.125031966151,196,63.4375110134568,228,76.9375133572072,169,111,"1000-10-01","0999-07-01",15,0,"123969-9993.its",114.446,37.250006467015,153.750026692713,-0.167310095216945
+"bergelson 37 123969-9993","bergelson","bergelson 37",57599990,52.3750090928835,424,0.666286183289714,0.733657646701125,2395.94,800.4032639589,529.056966850168,271.346297108732,1172.15885947047,1103.66502463054,1564.37855402112,1316.75417661098,215823.787469408,70013.762155167,120359.395895728,68965.0119730924,463,184.125031966151,196,63.4375110134568,228,76.9375133572072,169,111,"1000-10-01","0999-07-01",15,0,"123969-9993.its",114.446,37.250006467015,153.750026692713,-0.167310095216944
 "bergelson 23 123970-9996","bergelson","bergelson 23",57599990,102.812517849395,267,0.529878717999084,0.613780918727915,3639.86,945.749539192628,319.548180477115,626.201358715514,1202.96296296296,1240.94477711244,1508.50657108722,1534.18237082067,196910.03418577,116571.270238068,78913.7637003062,157733.152384228,352,163.687528417974,576,93.9375163085966,142,52.3125090820328,391,89,"1000-09-01","0999-07-01",14,0,"123970-9996.its",104.047,25.8125044813376,114.562519889326,-0.252598764585061
 "bergelson 38 123971-9998","bergelson","bergelson 38",46490990,268.38748755404,273,0.779638390596992,0.827359180687637,6097.86,2207.13940486103,582.537132463731,1624.6022723973,1116.87215556475,1144.88407258065,1391.57854984894,1521.93306405078,209032.502857005,175888.274265616,142668.934346203,408467.79128601,310,187.158845186992,431,153.629767832434,287,102.523091033338,645,134,"1000-02-01","0999-07-01",7,0,"123971-9998.its",102.186,58.6178096013873,176.395469315667,-0.84961945016188
 "bergelson 18 123972-9997","bergelson","bergelson 18",44950240,254.681621277217,165,0.507426948246391,0.608262817322051,4018.66,1797.57331662745,272.309113366247,1525.26420326121,1171.17647058824,1105.362392296,1262.43710691824,1475.49685534591,172212.829119489,174663.539060081,64303.9058300912,375781.931308932,234,147.042596435525,295,158.014729176085,118,50.9363242554434,599,82,"1000-07-01","0999-07-01",11,830,"123972-9997.its",92.637,38.9230402329331,100.911585789086,-0.508464772689412
@@ -552,7 +552,7 @@
 "cougar FM07 e20101019_164129_003694","cougar","cougar FM07",36010860,120.563629971625,631,0.742359515572608,0.747382448124881,1966.76,1045.89048970227,468.215754913934,577.674734788339,1095.44490644491,1023.27351821642,1415.41336353341,1204.59369817579,NA,188123.249486405,124943.308768521,145230.188893017,774,NA,335,183.844540230364,198,88.2733708664553,194,113,"2010-10-16","2007-12-02",34,0,"e20101019_164129_003694.its",105.644,63.0809705738769,NA,1.45317462277728
 "cougar BE05 e20101025_163308_003735","cougar","cougar BE05",37465360,140.673945212324,NA,0.841604740994119,0.845421086815328,3343.53,856.189290587359,130.003288370911,726.186002216447,1093.77914110429,1035.24665744583,1205.08896797153,1279.37158469945,428282.018376442,215762.507019818,32538.5369311812,179974.248212215,NA,391.561698593047,600,208.416521287931,81,27.0009416698518,531,174,"2010-10-21","2007-08-27",37,7528150,"e20101025_163308_003735.its",105.832,55.8275697871314,NA,1.70904063088163
 "cougar KC10 e20101026_164945_003517","cougar","cougar KC10",41650050,173.301112483658,429,0.562619938957718,0.633311814073596,2898.6,1144.18407660975,218.901345856728,925.282730753024,1078.10773480663,1060.40488431877,1375.92827004219,1348.34912718204,269865.702442134,142616.011265293,56371.6970327767,233670.403757018,511,250.314225313055,326,134.492035423727,134,40.9699388115981,476,102,"2010-10-22","2008-09-08",25,0,"e20101026_164945_003517.its",97.793,50.3912960488643,170.621643911592,0.685576598464225
-"cougar BN32 e20101027_111735_003694","cougar","cougar BN32",39650179,200.836419931421,381,0.63930763140656,0.711912943871707,5120.48,2149.05138259275,1037.55526551343,1111.49611707932,1148.32313341493,1182.01761409127,1580.71391349661,1373.82459312839,170362.307822116,134042.875317158,NA,275914.012897647,445,148.357463909558,349,113.401757908836,459,NA,490,134,"2010-10-23","2009-07-17",15,6884520,"e20101027_111735_003694.its",78.132,44.9430505723568,116.034785114085,-0.167310095216945
+"cougar BN32 e20101027_111735_003694","cougar","cougar BN32",39650179,200.836419931421,381,0.63930763140656,0.711912943871707,5120.48,2149.05138259275,1037.55526551343,1111.49611707932,1148.32313341493,1182.01761409127,1580.71391349661,1373.82459312839,170362.307822116,134042.875317158,NA,275914.012897647,445,148.357463909558,349,113.401757908836,459,NA,490,134,"2010-10-23","2009-07-17",15,6884520,"e20101027_111735_003694.its",78.132,44.9430505723568,116.034785114085,-0.167310095216944
 "cougar WG24 e20101102_084704_007593","cougar","cougar WG24",45420989,125.149190388611,815,0.690382922967846,0.743201702530149,5424.26,1705.91582671174,973.205757364728,732.710069347015,1163.97253037507,990.738993710692,1615.54736245037,1384.2678910703,349276.410515852,49941.5809726204,225744.886356393,173240.005848398,872,300.072726289601,112,50.4084136080789,396,139.73275658969,496,209,"2010-10-30","2007-08-13",38,1070710,"e20101102_084704_007593.its",110.132,66.6564085603684,251.645775480582,1.79432930024975
 "cougar FJ11 e20101102_130729_003577","cougar","cougar FJ11",34809239,216.45977379741,671,0.779553748059174,0.792358803986711,NA,NA,NA,1201.09112411219,1033.11746031746,1111.68532338308,NA,1427.23363592929,168282.21955671,184874.021520551,NA,308938.669989309,658,162.887789646881,701,166.300676668054,NA,NA,672,157,"2010-10-31","2007-11-08",35,8922270,"e20101102_130729_003577.its",108.745,43.5401647246583,152.132024489246,1.53846329214539
 "cougar RH29 e20101107_174712_004278","cougar","cougar RH29",43998550,236.298696207034,424,0.709308058369985,0.751939753537198,4173.08,1820.94982675565,369.483448886384,1451.46637786927,1001.16816743733,1049.29588607595,1367.87841191067,1377.91897506925,336594.728689923,108519.848949568,90208.3364110863,325600.457287797,549,336.20198847462,238,103.421590029671,134,65.9476278195531,612,168,"2010-10-30","2008-08-15",26,0,"e20101107_174712_004278.its",108.24,82.6390869699115,272.299882609768,0.770865267832342
@@ -600,7 +600,7 @@
 "cougar FM07 e20110215_163144_003264","cougar","cougar FM07",47974930,144.150288494428,496,0.741389638370353,0.759702575262967,1629.13,897.317161275691,145.386934384271,751.93022689142,1077.23865877712,1089.58940905602,1270.09049773756,1312.28526808954,409834.052910551,213071.535487389,42125.5017985435,189166.299982095,582,380.448705188314,350,195.55213525064,120,33.1673230164171,220,72,"2011-02-13","2007-12-02",38,0,"e20110215_163144_003264.its",101.926,49.4508277552463,317.941057965066,1.79432930024975
 "cougar SM42 e20110221_171410_004183","cougar","cougar SM42",57599990,159.625027712678,536,0.66015611710673,0.687591669111176,3680.55,1332.39335631829,430.201949687839,902.191406630453,1047.33862959285,1259.51843950015,1504.84601449275,1393.72748629601,197750.659331712,258280.044840286,103834.393026804,222473.788623922,666,188.812532779954,629,205.062535601135,288,69.0000119791687,518,174,"2011-02-12","2008-03-27",34,0,"e20110221_171410_004183.its",90.227,47.3125082139771,150.187526074223,1.45317462277728
 "cougar BN32 e20110223_114307_003524","cougar","cougar BN32",39848110,128.016109170548,374,0.562316825807186,0.605002156101768,1935.21,1032.24529344052,375.669009144976,656.576284295541,1014.35011990408,1087.81961471103,1376.35549872123,1293.71206774877,191068.334232163,112232.274002456,97237.133705965,165615.985300181,490,188.365270021589,241,103.171768999835,137,70.6482691399918,279,86,"2011-02-19","2009-07-17",19,0,"e20110223_114307_003524.its",95.084,34.6013901286661,130.455371660036,0.173844582255523
-"cougar AM28 e20110223_120259_003694","cougar","cougar AM28",44181430,215.194483293094,266,0.62775785543961,0.687701520036849,2978.51,1587.99350767958,249.22552303083,1338.76798464875,989.170392449081,1048.37755102041,1417.8880866426,1548.84892086331,162247.351432491,83715.624415054,64005.0808676858,333303.743224246,338,164.023663335478,149,79.8525534370436,161,45.141137351145,401,84,"2011-02-21","2009-11-04",15,0,"e20110223_120259_003694.its",107.678,36.9929176126712,123.201082445724,-0.167310095216945
+"cougar AM28 e20110223_120259_003694","cougar","cougar AM28",44181430,215.194483293094,266,0.62775785543961,0.687701520036849,2978.51,1587.99350767958,249.22552303083,1338.76798464875,989.170392449081,1048.37755102041,1417.8880866426,1548.84892086331,162247.351432491,83715.624415054,64005.0808676858,333303.743224246,338,164.023663335478,149,79.8525534370436,161,45.141137351145,401,84,"2011-02-21","2009-11-04",15,0,"e20110223_120259_003694.its",107.678,36.9929176126712,123.201082445724,-0.167310095216944
 "cougar BE05 e20110223_134300_003606","cougar","cougar BE05",31840740,131.831106940354,NA,0.849972304259799,0.862745098039216,1668.9,710.393288598192,117.965097544844,592.428191053349,1230.70271557885,1172.26928471248,1271.75355450237,1175.53173241852,NA,NA,30339.2446281085,154971.649528246,NA,NA,NA,NA,58,23.8562294720537,303,124,"2011-02-19","2007-08-27",41,7232710,"e20110223_134300_003606.its",107.22,57.6619764490398,NA,2.0501953083541
 "cougar KC10 e20110224_134759_003541","cougar","cougar KC10",44112930,166.563408959686,551,0.864450452959305,0.872787610619469,2899.89,1099.58372749214,184.866613938362,914.717113553781,1131.07164541591,1145.7811550152,1503.03225806452,1408.147966683,304053.709422612,153816.94210745,57037.1544125498,234545.925650371,502,268.819142142678,300,134.246353620129,106,37.9480574062979,352,149,"2011-02-22","2008-09-08",29,0,"e20110224_134759_003541.its",107.295,69.7754603922251,266.04444547211,1.02673127593669
 "cougar WM15 e20110301_111859_003606","cougar","cougar WM15",40638740,200.911740865982,491,0.870380304029065,0.870611551528879,2890.9,1608.0424737578,504.402744770138,1103.63972898766,997.256394640682,1043.19233311302,1433.25560538117,1359.96913580247,290116.37663963,139818.803437311,141566.593846167,273233.766598079,463,290.914531306827,272,134.029746000983,189,98.7727473834081,403,135,"2011-02-27","2008-01-17",37,0,"e20110301_111859_003606.its",111.815,84.7762504447726,285.599405887092,1.70904063088163
@@ -629,7 +629,7 @@
 "cougar BH35 e20110419_170007_003577","cougar","cougar BH35",36727490,281.217148245088,339,0.507280958168725,0.616818722729076,3584.73,1951.53330652326,278.838221724381,1672.69508479888,1216.21512151215,1058.15136476427,1526.31460674157,1466.3053328686,264890.086417558,83597.6539643738,66575.6358520552,412350.204165871,467,217.798711537325,188,79.0034930238903,185,43.6185538407335,483,155,"2011-04-15","2010-01-26",14,0,"e20110419_170007_003577.its",90.904,61.7521099318249,156.830755382412,-0.252598764585061
 "cougar KC10 e20110421_111820_003541","cougar","cougar KC10",44378240,165.486508703365,462,0.780102482511461,0.799469111969112,3052.35,1432.5128711729,539.158290189066,893.354580983833,1072.75953389831,1081.49437600428,1541.69230769231,1388.85784313725,328599.421698562,163795.139239411,138195.025309701,229837.235546069,484,306.312282776424,328,151.452603798618,273,89.6385255476558,360,152,"2011-04-19","2008-09-08",31,0,"e20110421_111820_003541.its",105.082,88.8273171716589,272.566014334953,1.19730861467293
 "cougar WG24 e20110424_180615_003559","cougar","cougar WG24",43525990,111.078461397432,673,0.848817557642297,0.863982371794872,4314.54,2233.49589521111,NA,556.627155407608,1275.45325779037,1062.58675078864,1588.96484375,1249.06924795235,446862.94326677,139298.841910316,NA,138744.690241394,604,350.356189485868,197,131.094088842092,422,NA,194,222,"2011-04-17","2007-08-13",44,0,"e20110424_180615_003559.its",99.035,NA,363.176116154969,2.30606131645845
-"cougar PA99 e20110425_134043_003684","cougar","cougar PA99",57599990,204.375035481777,251,0.421288635007303,0.555,4463.38,1490.84588382741,160.712527901481,1330.13335592593,1276.74664107486,1268.08657465496,1340.50420168067,1579.50458715596,166296.278870882,126333.146932838,39880.0069236123,322811.30604363,386,130.250022612851,300,99.6250172960099,135,29.7500051649315,536,104,"2011-04-22","2010-04-27",11,0,"e20110425_134043_003684.its",72.07,36.6250063585081,77.18751340061,-0.508464772689412
+"cougar PA99 e20110425_134043_003684","cougar","cougar PA99",57599990,204.375035481777,251,0.421288635007303,0.555,4463.38,1490.84588382741,160.712527901481,1330.13335592593,1276.74664107486,1268.08657465496,1340.50420168067,1579.50458715596,166296.278870882,126333.146932838,39880.0069236123,322811.30604363,386,130.250022612851,300,99.6250172960099,135,29.7500051649315,536,104,"2011-04-22","2010-04-27",11,0,"e20110425_134043_003684.its",72.07,36.625006358508,77.18751340061,-0.508464772689412
 "cougar BN32 e20110428_131730_003264","cougar","cougar BN32",41769860,160.13460423377,395,0.520216394260366,0.604484047139983,2266.34,1321.5121142374,499.476033675957,822.036080561438,997.151033386328,1032.12560386473,1433.67804878049,1283.44994617869,270284.45869821,92068.778779723,126652.854474494,205524.749185178,500,271.056690158885,199,89.2030760936235,187,88.3412106241199,268,119,"2011-04-23","2009-07-17",21,0,"e20110428_131730_003264.its",104.846,57.0554940811389,183.83590464512,0.344421920991757
 "cougar PA99 e20110429_145001_003581","cougar","cougar PA99",57599990,97.6250169487877,233,0.575411155586495,0.64982206405694,1946.53,669.969491314148,153.807526702696,516.161964611452,1016.17598684211,1172.72727272727,1486.86440677966,1302.49679897567,77229.3884078799,63693.7610579446,43862.5076150187,127156.272075742,215,76.0000131944467,240,54.3125094292551,204,29.5000051215287,328,57,"2011-04-25","2010-04-27",11,0,"e20110429_145001_003581.its",107.729,18.0625031358512,59.4375103190122,-0.508464772689412
 "cougar BE05 e20110502_135242_003606","cougar","cougar BE05",44014550,178.468256519719,504,0.767781282067842,0.779278173336607,3501.3,1258.36151908857,169.060640174669,1089.3008789139,1130.85082246171,1131.44612144612,1265.46599496222,1492.45187901008,326132.335784417,263652.905686869,41091.0483010732,266355.284786508,547,288.395541928749,505,233.022943549349,132,32.4710805858517,388,80,"2011-04-28","2007-08-27",44,0,"e20110502_135242_003606.its",97.404,42.2042256481095,263.203872355846,2.30606131645845
@@ -644,7 +644,7 @@
 "cougar BE05 e20110523_160059_003735","cougar","cougar BE05",40374860,127.861743669204,572,0.825685876684728,0.835932045613219,1517.39,792.403986044781,206.157891321481,586.246094723301,1113.49103197297,1095.68779646399,1321.02396514161,1193.49372384937,381944.606123712,226557.813451242,54064.8314322328,152602.188589632,600,343.01543088942,481,206.772234008985,113,40.926457701649,277,99,"2011-05-20","2007-08-27",44,0,"e20110523_160059_003735.its",93.402,48.6837601418308,324.736729737267,2.30606131645845
 "cougar AM28 e20110530_114443_003684","cougar","cougar AM28",44066360,227.602189062133,285,0.659232592300777,0.707317073170732,3799.6,1594.85984320012,166.012350464164,1428.84749273596,988.090575275398,1072.03355704698,1320.9429280397,1568.13711414214,197849.697592449,130493.827944945,43489.5008346503,356911.439928326,355,200.234373794432,245,121.725506713057,185,32.9230732921893,497,122,"2011-05-23","2009-11-04",18,0,"e20110530_114443_003684.its",99.403,55.5525802448852,159.4685832912,0.0885559128874064
 "cougar BN32 e20110530_115127_003581","cougar","cougar BN32",27669429,126.074159318575,313,0.644002038501373,0.649450549450549,3729.59,1267.74137623151,611.35948992659,656.381886304918,893.961352657005,1176.92963752665,1485.21902377972,1263.27141382869,96305.5652503707,143633.466379086,154397.259155583,159265.88148964,405,107.729003009061,462,122.040827080313,406,103.955885753913,316,92,"2011-05-21","2009-07-17",22,11277081,"e20110530_115127_003581.its",103.196,25.3709608535832,80.1462147990116,0.429710590359874
-"cougar BH35 e20110531_120427_003577","cougar","cougar BH35",38557550,215.677603997142,373,0.517915859905457,0.641414141414141,3812.13,1543.87164122202,319.48855671587,1224.38308450615,1121.33901705115,1194.66278101582,1533.93470790378,1423.95238095238,208763.782968576,133961.934822104,83353.3250945664,307114.637729835,475,186.173654705758,295,112.133680692886,239,54.3395521759033,571,166,"2011-05-27","2010-01-26",15,0,"e20110531_120427_003577.its",96.561,53.4992498226677,136.12898122417,-0.167310095216945
+"cougar BH35 e20110531_120427_003577","cougar","cougar BH35",38557550,215.677603997142,373,0.517915859905457,0.641414141414141,3812.13,1543.87164122202,319.48855671587,1224.38308450615,1121.33901705115,1194.66278101582,1533.93470790378,1423.95238095238,208763.782968576,133961.934822104,83353.3250945664,307114.637729835,475,186.173654705758,295,112.133680692886,239,54.3395521759033,571,166,"2011-05-27","2010-01-26",15,0,"e20110531_120427_003577.its",96.561,53.4992498226677,136.12898122417,-0.167310095216944
 "cougar DI46 e20110601_103216_007574","cougar","cougar DI46",57599988,267.62505575522,NA,0.914334320754924,0.921590023382697,NA,NA,NA,1612.24533588445,1198.1954459203,1097.56405202996,1853.31746031746,1472.70177487156,394655.707219939,174032.536256778,NA,394131.894610811,NA,329.375068619806,730,158.562533033861,NA,NA,NA,NA,"2011-04-23","2008-06-03",34,922640331,"e20110601_103216_007574.its",118.496,NA,NA,1.45317462277728
 "cougar FJ11 e20110601_121149_003264","cougar","cougar FJ11",51396240,248.796410009759,382,0.830716910260382,0.833333333333333,4373.44,2073.0925842046,620.036096025701,1453.0564881789,1015.14388489209,1139.71161143435,1485.74642126789,1471.79054054054,217438.39627179,315567.987074541,152667.276828033,366176.20277281,415,214.19465704106,466,276.884067783947,263,102.754598390855,544,136,"2011-05-28","2007-11-08",42,0,"e20110601_121149_003264.its",103.584,60.4480016437,205.229020644312,2.13548397772221
 "cougar WM15 e20110606_114254_003456","cougar","cougar WM15",50920430,158.930315396001,454,0.811697751255003,0.817843866171004,2775.34,1472.88528396166,520.28044539294,952.604838568724,984.531384350817,917.403915881073,1349.22151450814,1424.53736654804,242851.601999433,89440.721533577,134783.229442485,226402.172958869,536,246.667202142637,192,97.4932851116929,220,99.8970354335185,366,174,"2011-06-03","2008-01-17",40,0,"e20110606_114254_003456.its",105.008,67.2343104722407,219.518963213783,1.96490663898598
@@ -667,7 +667,7 @@
 "cougar BS80 e20110720_140100_004222","cougar","cougar BS80",50969550,222.909560708305,691,0.935928256179997,0.927983915189179,3059.11,1549.67913195231,279.267680409185,1270.41145154313,1050.93676355067,956.06600660066,1373.56110381078,1459.32509505703,377969.43469189,102303.904978561,73828.5505757849,325297.515869769,674,359.650026339255,244,107.005064788683,106,53.7497388146452,439,186,"2011-07-18","2007-10-21",44,0,"e20110720_140100_004222.its",116.262,89.2062025268028,360.073808774062,2.30606131645845
 "cougar WG24 e20110801_104050_007574","cougar","cougar WG24",42891240,166.607447115075,NA,0.887354239740175,0.892891145668042,5096.65,1518.96219367871,533.546710237335,985.415483441374,1322.35975609756,1044.66606498195,1415.53505535055,1436.26196473552,NA,194303.73195086,128790.494282749,239291.939333067,NA,NA,388,185.996021565243,272,90.9836134371494,544,NA,"2011-07-31","2007-08-13",47,3598080,"e20110801_104050_007574.its",103.762,88.8852828689495,NA,2.5619273245628
 "cougar PA99 e20110815_121225_003577","cougar","cougar PA99",57599990,79.3125137695336,151,0.511411406859476,0.639272727272727,2149.73,639.318860992858,196.8975341836,442.421326809258,1091.74304418985,NA,1493.95509499136,1359.97635933806,83381.8894760225,46831.8831305353,54062.5093858523,107863.14372624,211,76.3750132595509,117,32.0625055664072,234,36.1875062825532,326,74,"2011-07-27","2010-04-27",14,0,"e20110815_121225_003577.its",93.915,14.1250024522574,55.3125096028662,-0.252598764585061
-"cougar PA99 e20110815_121507_003264","cougar","cougar PA99",44907989,108.381606666912,165,0.521056708763693,0.647755610972569,1830.01,682.922764588724,85.4290758822445,597.493688706479,1153.12005751258,1312.60572987722,1291.2987012987,1313.2100591716,128582.11041247,77128.904614277,23912.0927904387,142327.816104168,220,111.507999166919,231,58.7601462180816,64,18.5178632692726,287,54,"2011-07-28","2010-04-27",15,710,"e20110815_121507_003264.its",96.145,18.4376993590161,83.8514501283947,-0.167310095216945
+"cougar PA99 e20110815_121507_003264","cougar","cougar PA99",44907989,108.381606666912,165,0.521056708763693,0.647755610972569,1830.01,682.922764588724,85.4290758822445,597.493688706479,1153.12005751258,1312.60572987722,1291.2987012987,1313.2100591716,128582.11041247,77128.904614277,23912.0927904387,142327.816104168,220,111.507999166919,231,58.7601462180816,64,18.5178632692726,287,54,"2011-07-28","2010-04-27",15,710,"e20110815_121507_003264.its",96.145,18.4376993590161,83.8514501283947,-0.167310095216944
 "cougar S1RJ e20130903_105737_009228","cougar","cougar S1RJ",47632550,60.991905745126,297,0.576740231612221,0.670807453416149,1277.98,407.33901502229,108.707679937354,298.631335084937,1025.64049586777,1114.57979225685,1410.14319809069,1310.74349442379,150071.831132282,89208.4089556406,44655.597905214,79944.743667933,379,146.320110932545,240,80.0377053086597,135,31.6674207028597,235,62,"2013-09-02","2012-02-08",18,0,"e20130903_105737_009228.its",94.953,17.8365424483888,108.530826084264,0.0885559128874064
 "cougar S1RA e20130903_105915_009231","cougar","cougar S1RA",47643180,109.640036622241,548,0.881986756960624,0.889410384276914,1590.21,735.634775008721,215.569237821657,520.065537187064,1108.20605661619,1092.86374133949,1561.82926829268,1300.06891798759,254395.865263402,107269.665878726,87094.6901529243,142539.603779597,453,229.556465374478,241,98.1546571828329,203,55.7645396465979,270,132,"2013-09-02","2009-06-13",50,0,"e20130903_105915_009231.its",NA,48.7373009106445,235.752525335211,2.81779333266715
 "cougar S1RJ e20130920_085341_009238","cougar","cougar S1RJ",57599990,61.3125106445331,153,0.555373813302909,0.613390928725702,1610.14,433.685700292656,147.771900654844,285.913799637812,942.494365138993,1052.08450704225,1391.53846153846,1324.07747196738,78403.7636117645,93372.5162105063,42963.7574589857,81182.5140941865,227,83.1875144422768,249,88.7500154079888,83,30.875005360244,194,43,"2013-09-14","2012-02-08",19,0,"e20130920_085341_009238.its",NA,11.6250020182295,55.0000095486128,0.173844582255523
@@ -675,7 +675,7 @@
 "cougar S1RA e20131016_085223_009235","cougar","cougar S1RA",40208239,77.0886782681529,497,0.849138927447283,0.846943765281174,2707.49,643.970704611062,283.518907654722,360.45179695634,989.254115226337,1044.29760665973,1465.74935400517,1307.6887340302,172183.516915526,89853.5247962489,101575.301519671,100807.996092542,500,174.053879852833,440,86.0420671494715,232,69.2992299414058,346,63,"2013-10-12","2009-06-13",51,5843710,"e20131016_085223_009235.its",NA,21.8462688704173,157.66917820002,2.90308200203527
 "cougar S1RJ e20131016_085401_009232","cougar","cougar S1RJ",40137609,72.6500674218038,232,0.333996393619701,0.499718626899268,2797.36,635.11765237436,211.608120453812,423.509531920549,1376.07458912769,1154.67048710602,1405.62945368171,1423.56790123457,195253.783054192,144575.427998215,53076.7041953097,103422.304004207,349,141.891860075671,449,125.209252001035,173,37.7600967710857,324,55,"2013-10-12","2012-02-08",20,5914270,"e20131016_085401_009232.its",97.375,18.6558197823891,82.3367430780443,0.25913325162364
 "cougar S1HR e20140401_094707_009236","cougar","cougar S1HR",44487989,304.019136490975,446,0.695730628962134,0.790979097909791,4560.42,2287.23298776216,399.727306172459,1887.5056815897,1242.9534591195,1081.97406340058,1410.29445073613,1584.70322065478,399808.226890184,182287.673196467,100769.760575152,NA,507,321.659852954918,400,168.476934302425,204,71.4529937507402,613,148,"2014-03-31","2010-04-26",47,710,"e20140401_094707_009236.its",97.306,94.2726361490514,297.46455835529,2.5619273245628
-"cougar S1HR e20141112_161807_009233","cougar","cougar S1HR",36434180,209.967673212352,761,0.883747028973512,0.878616224964596,2455.11,1229.59045599489,243.507168268917,986.083287725976,1125.24652943992,1130.32141567353,1393.97286821705,1320.23058823529,464525.563632831,309256.198437841,71071.8341952529,277205.744715539,668,NA,601,273.600229235295,140,50.9850914717993,388,157,"2014-11-07","2010-04-26",54,0,"e20141112_161807_009233.its",NA,82.2085195824361,NA,3.15894801013962
+"cougar S1HR e20141112_161807_009233","cougar","cougar S1HR",36434180,209.967673212352,761,0.883747028973512,0.878616224964596,2455.11,1229.59045599489,243.507168268917,986.083287725976,1125.24652943992,1130.32141567353,1393.97286821705,1320.23058823529,464525.563632831,309256.198437841,71071.8341952529,277205.744715539,668,NA,601,273.600229235295,140,50.9850914717993,388,157,"2014-11-07","2010-04-26",54,0,"e20141112_161807_009233.its",NA,82.208519582436,NA,3.15894801013962
 "cougar S1GC e20141113_144912_009236","cougar","cougar S1GC",54122990,152.652320206256,652,0.879595401432119,0.879887745556595,2865.48,950.024231846762,110.347340381601,839.676891465161,1234.38986784141,1198.07302231237,1367.04545454545,1403.63834422658,372759.671998905,157148.74584719,28006.2132561412,214268.649976655,626,301.978881802354,245,131.167919584635,71,20.4866730385738,440,179,"2014-11-08","2011-05-10",41,0,"e20141113_144912_009236.its",114.157,68.3775970248502,320.004493469411,2.0501953083541
 "cougar S1SA e20141204_092246_009235","cougar","cougar S1SA",43381930,NA,853,0.970083752988641,0.952158475051392,4547.65,NA,460.505652929688,NA,1258.25216107949,1091.57038242474,1510.86729362591,1569.25386511315,NA,222652.334739372,119986.362985695,NA,734,393.5924473623,570,203.974327559885,243,79.4155538953661,648,NA,"2014-12-01","2011-06-23",41,0,"e20141204_092246_009235.its",120.332,NA,NA,2.0501953083541
 "cougar S1HR e20141215_130044_009233","cougar","cougar S1HR",40760300,196.956352136761,563,0.928624290375774,0.911076032622994,2219.98,1211.4228796157,261.574816672105,949.8480629436,1148.11589895988,1094.4,1387.22513089005,1343.91479820628,341221.139196718,108741.103475686,70204.7825948288,264692.556237319,541,297.200952887982,170,99.3613884098007,105,50.6080671633918,415,143,"2014-12-12","2010-04-26",55,0,"e20141215_130044_009233.its",NA,83.2869237959485,312.392205160413,3.24423667950773
@@ -692,7 +692,7 @@
 "cougar S1SA e20150224_091901_009235","cougar","cougar S1SA",44393860,170.13163532074,859,0.927140789972875,0.92400234741784,3478.99,1731.4883634809,810.720221219781,920.768142261114,NA,1183.72093023256,1672.56288239293,1405.58627264061,NA,86679.5543347661,199514.617561978,239134.691148731,725,NA,256,73.2263425617867,217,119.286766232988,500,221,"2015-02-22","2011-06-23",44,0,"e20150224_091901_009235.its",126.206,NA,NA,2.30606131645845
 "cougar S1SA e20150224_092010_009228","cougar","cougar S1SA",45058430,248.397469685473,689,0.958183816289989,0.947709994437233,3681.49,1942.0183970014,421.596580262561,1520.42181673884,1414.62072051913,1241.115935736,1563.61650485437,1550.25410099711,NA,228366.678554934,102939.938209121,385079.196057208,599,357.056382124277,491,184.001084813652,207,65.8345175364521,472,197,"2015-02-23","2011-06-23",44,0,"e20150224_092010_009228.its",121.849,NA,NA,2.30606131645845
 "cougar S1SA e20150224_092118_009230","cougar","cougar S1SA",25832990,45.0122111300318,618,0.956748135354977,0.914935319482556,1263.34,870.729869055034,707.473505776916,163.256363278118,NA,963.125,1749.62532299742,NA,NA,17179.8928424468,188718.224255109,49613.7690604146,513,287.214139749212,40,17.8376564230467,166,107.86207868311,90,115,"2015-02-16","2011-06-23",43,0,"e20150224_092118_009230.its",NA,70.6538422381614,332.365707570049,2.22077264709033
-"cougar S1GC e20150317_165019_009236","cougar","cougar S1GC",35953110,252.428788497017,585,0.81832336619423,0.824150306100908,2649.73,1355.97916285962,59.4494328863344,1296.52972997329,1206.94220921726,1070.10545621275,1264.91525423729,1262.49504165014,NA,233694.386938988,14945.4664700773,318690.093847236,669,NA,489,218.384445740577,23,11.8153895448822,432,169,"2015-03-13","2011-05-10",46,0,"e20150317_165019_009236.its",97.11,90.0172474648229,NA,2.47663865519468
+"cougar S1GC e20150317_165019_009236","cougar","cougar S1GC",35953110,252.428788497017,585,0.81832336619423,0.824150306100908,2649.73,1355.97916285962,59.4494328863344,1296.52972997329,1206.94220921726,1070.10545621275,1264.91525423729,1262.49504165014,NA,233694.386938988,14945.4664700773,318690.093847236,669,NA,489,218.384445740577,23,11.8153895448822,432,169,"2015-03-13","2011-05-10",46,0,"e20150317_165019_009236.its",97.11,90.017247464823,NA,2.47663865519468
 "cougar S1VL e20150413_105742_008790","cougar","cougar S1VL",48414990,158.82684267827,246,0.62074965150009,0.707680250783699,5245.91,1221.93386800245,182.510334092809,1039.42353390964,1172.85977859779,1175.86797066015,1413.60986547085,1646.28277153558,94536.1756761697,71521.1549150377,46879.9435877194,261473.894758627,209,80.6031355165002,321,60.8241373178018,141,33.1632826940582,623,52,"2015-04-11","2014-11-13",4,0,"e20150413_105742_008790.its",NA,16.8790698913704,69.9700650562977,-1.10548545826623
 "cougar S1VL e20150415_132800_009231","cougar","cougar S1VL",46843860,65.0159914234224,189,0.597785797009729,0.653769841269841,1498.36,457.689524304786,103.30856594653,354.380958358257,1159.08787541713,1110.29220779221,1733.07692307692,1465.37825059102,80080.334968126,26280.7548310494,38091.9932729711,95273.0197724953,239,69.0890972690978,95,23.6701245371325,89,21.9794013559088,213,39,"2015-04-14","2014-11-13",4,0,"e20150415_132800_009231.its",116.758,6.762892724895,56.5623755173037,-1.10548545826623
 "cougar S1HR e20150420_151540_009237","cougar","cougar S1HR",38617489,268.292948824301,508,0.914421502696052,0.908765652951699,4535.36,2088.04068022134,687.285804625982,1400.75487559536,1114.09507923269,1097.52627324171,1571.32292522597,1411.10111188325,249051.925670258,126561.93156422,178268.452410254,378588.478396407,463,223.546383349782,179,115.315628108291,332,113.451187880186,429,124,"2015-04-17","2010-04-26",59,1020,"e20150420_151540_009237.its",NA,76.5352713637078,243.962003847531,3.5853913569802
@@ -718,15 +718,15 @@
 "cougar S1SE e20150628_075357_009232","cougar","cougar S1SE",30752300,196.668216686232,124,0.421026782790911,0.559757942511346,5564.14,1842.09519287988,420.700240307229,1421.39495257265,1278.77622377622,965.016077170418,1540.24590163934,NA,85627.9367722089,35133.3721380189,109987.870825922,362162.179739402,193,66.9608452050741,104,36.4070329698917,206,71.4092929634531,558,52,"2015-06-27","2015-05-04",1,0,"e20150628_075357_009232.its",NA,14.8671806661616,47.6452167805335,-1.36135146637058
 "cougar S1SE e20150628_220900_009232","cougar","cougar S1SE",18282990,248.099462943424,153,0.489423683285308,0.62453531598513,NA,2305.94273693745,589.118081889231,1716.82465504822,1335.93147751606,1017.5,1786.43031784841,NA,122844.676937416,48084.0387704637,143868.152856836,433242.702643277,200,91.9543247576026,115,47.2570405606523,359,80.5338732887783,746,86,"2015-06-28","2015-05-04",1,5426650,"e20150628_220900_009232.its",NA,30.1263633574158,70.2948478339703,-1.36135146637058
 "cougar S1SE e20150629_202507_009232","cougar","cougar S1SE",31126240,152.321642447016,110,0.494620662225316,0.671957671957672,3680.07,1173.52201872118,211.19042968248,962.331589038702,1290.61349693252,1078.67469879518,1508.40390879479,1614.30523917995,72992.9474295642,62129.1874636962,53558.926487748,245893.625442713,121,56.5567829586869,88,57.5977053444296,87,35.5070191581123,481,41,"2015-06-29","2015-05-04",1,0,"e20150629_202507_009232.its",NA,12.7223847146331,49.8486164727895,-1.36135146637058
-"cougar S1SE e20150630_221509_009232","cougar","cougar S1SE",51404180,20.3096324073256,126,0.601399573639818,0.631436314363144,524.11,137.15444930743,42.3918054913044,94.7626438161254,965.466237942122,NA,1486.79611650485,1280.34482758621,21028.1731952538,51485.6184847224,10724.8865753719,26003.3328028966,113,21.7803299264768,181,30.5344818261861,28,7.21342116536048,95,19,"2015-06-30","2015-05-04",1,0,"e20150630_221509_009232.its",NA,3.50166075988373,21.0799977745001,-1.36135146637058
+"cougar S1SE e20150630_221509_009232","cougar","cougar S1SE",51404180,20.3096324073256,126,0.601399573639818,0.631436314363144,524.11,137.15444930743,42.3918054913044,94.7626438161254,965.466237942122,NA,1486.79611650485,1280.34482758621,21028.1731952538,51485.6184847224,10724.8865753719,26003.3328028966,113,21.7803299264768,181,30.5344818261861,28,7.21342116536048,95,19,"2015-06-30","2015-05-04",1,0,"e20150630_221509_009232.its",NA,3.50166075988373,21.0799977745,-1.36135146637058
 "cougar S1SE e20150703_102022_009232","cougar","cougar S1SE",25105490,193.439761582028,132,0.363473498696418,0.582840236686391,4774.05,1918.84786952973,610.217127807503,1308.63074172223,1358.41483979764,1299.05940594059,1488.15295815296,1658.65826538176,115510.352516521,75256.5275563233,147881.75813338,320850.459401509,172,85.0331939348724,162,57.9315520230834,212,99.3726870098931,454,55,"2015-07-01","2015-05-04",1,0,"e20150703_102022_009232.its",NA,26.5280621887882,63.237164460841,-1.36135146637058
-"cougar S1SE e20150706_201910_009232","cougar","cougar S1SE",34310430,144.690696094453,131,0.473148936590849,0.658008658008658,2849.66,1096.41447221734,146.58353159666,949.83094062068,1470.60344827586,1079.64803312629,1317.19512195122,NA,89495.2351223812,54714.9073911344,45331.5216393382,250685.287243558,143,60.8561303370433,130,50.678467159986,112,34.4151909492245,350,26,"2015-07-06","2015-05-04",2,0,"e20150706_201910_009232.its",76.433,9.33826827585664,52.5671056876874,-1.27606279700247
-"cougar S1SE e20150707_221200_009232","cougar","cougar S1SE",31313990,200.958102113464,121,0.46400021378452,0.679796696315121,4070.4,1480.86117419083,213.811143198296,1267.05003099254,1429.73013493253,1098.13596491228,1563.20512820513,1604.40503432494,109633.681303469,57568.5180968634,56070.5294981572,322418.190719228,140,76.6813810696114,72,52.4238527252516,98,35.8689518646458,559,69,"2015-07-07","2015-05-04",2,0,"e20150707_221200_009232.its",87.324,21.8432719688548,67.3692493355206,-1.27606279700247
-"cougar S1SE e20150721_085336_009232","cougar","cougar S1SE",33537680,40.8972832944915,43,0.295063999262069,0.45531914893617,831.02,306.172519983493,71.3620023806059,234.810517602887,NA,NA,1445.14925373134,1533.01837270341,41588.5654583143,23834.2067787635,20786.7687925939,62696.2866841117,68,22.9711774934939,64,16.96002824286,51,14.3838214211597,124,12,"2015-07-08","2015-05-04",2,7272830,"e20150721_085336_009232.its",NA,3.54228437983784,11.7002726485553,-1.27606279700247
+"cougar S1SE e20150706_201910_009232","cougar","cougar S1SE",34310430,144.690696094453,131,0.473148936590849,0.658008658008658,2849.66,1096.41447221734,146.58353159666,949.83094062068,1470.60344827586,1079.64803312629,1317.19512195122,NA,89495.2351223812,54714.9073911344,45331.5216393382,250685.287243558,143,60.8561303370433,130,50.678467159986,112,34.4151909492245,350,26,"2015-07-06","2015-05-04",2,0,"e20150706_201910_009232.its",76.433,9.33826827585664,52.5671056876874,-1.27606279700246
+"cougar S1SE e20150707_221200_009232","cougar","cougar S1SE",31313990,200.958102113464,121,0.46400021378452,0.679796696315121,4070.4,1480.86117419083,213.811143198296,1267.05003099254,1429.73013493253,1098.13596491228,1563.20512820513,1604.40503432494,109633.681303469,57568.5180968634,56070.5294981572,322418.190719228,140,76.6813810696114,72,52.4238527252516,98,35.8689518646458,559,69,"2015-07-07","2015-05-04",2,0,"e20150707_221200_009232.its",87.324,21.8432719688548,67.3692493355206,-1.27606279700246
+"cougar S1SE e20150721_085336_009232","cougar","cougar S1SE",33537680,40.8972832944915,43,0.295063999262069,0.45531914893617,831.02,306.172519983493,71.3620023806059,234.810517602887,NA,NA,1445.14925373134,1533.01837270341,41588.5654583143,23834.2067787635,20786.7687925939,62696.2866841117,68,22.9711774934939,64,16.96002824286,51,14.3838214211597,124,12,"2015-07-08","2015-05-04",2,7272830,"e20150721_085336_009232.its",NA,3.54228437983784,11.7002726485553,-1.27606279700246
 "cougar S1SA e20150721_091037_009237","cougar","cougar S1SA",42091178,NA,NA,0.953785353512036,0.94174516608825,5870.25,2471.83587971807,429.528106816112,NA,1369.36471922859,1054.94652406417,1385.94070695553,1545.84543568465,412964.635962434,168726.567833288,103957.461109784,NA,NA,301.573883249359,386,159.938503027879,204,75.008592061738,733,NA,"2015-06-17","2011-06-23",47,86173082,"e20150721_091037_009237.its",114.917,NA,331.081254128834,2.5619273245628
-"cougar S1SE e20150722_225945_009232","cougar","cougar S1SE",32612860,292.853800617303,133,0.49282578093273,0.646131805157593,NA,NA,480.810085346701,NA,1130.53398058252,1023.45070422535,1746.28140703518,NA,77123.3188380289,48127.1498421175,115080.615438204,NA,168,68.2184880442868,124,47.0243946713045,263,65.9003840816169,691,48,"2015-07-22","2015-05-04",2,0,"e20150722_225945_009232.its",93.868,23.8433550446051,55.5241092010943,-1.27606279700247
-"cougar S1SE e20150724_234322_009232","cougar","cougar S1SE",24518609,205.851808314248,74,0.578676094523534,0.658119658119658,5547.35,2124.81352429088,386.418495437486,1738.39502885339,1171.1214953271,1049.58333333333,1567.20930232558,NA,36797.8460768309,25890.0494722192,98946.8856083965,425540.616924884,84,31.4210320822034,74,24.6669784570568,234,63.1357186698479,496,39,"2015-07-23","2015-05-04",2,3785651,"e20150724_234322_009232.its",NA,14.3890707666165,24.6669784570568,-1.27606279700247
-"cougar S1SE e20150805_082832_009232","cougar","cougar S1SE",29914050,123.233062724706,140,0.545170215325394,0.662824207492795,3285.74,832.964041980273,46.2292467920593,786.734795188214,1034.48717948718,1011.26086956522,1227.63157894737,1614.609375,38842.4837158459,27990.9941983784,11228.1687033351,198973.258385274,127,37.5475737989339,97,27.6793011979321,38,9.14620387409929,453,60,"2015-07-25","2015-05-04",2,910960,"e20150805_082832_009232.its",NA,12.3955131451609,33.2151614375185,-1.27606279700247
+"cougar S1SE e20150722_225945_009232","cougar","cougar S1SE",32612860,292.853800617303,133,0.49282578093273,0.646131805157593,NA,NA,480.810085346701,NA,1130.53398058252,1023.45070422535,1746.28140703518,NA,77123.3188380289,48127.1498421175,115080.615438204,NA,168,68.2184880442868,124,47.0243946713045,263,65.9003840816169,691,48,"2015-07-22","2015-05-04",2,0,"e20150722_225945_009232.its",93.868,23.8433550446051,55.5241092010943,-1.27606279700246
+"cougar S1SE e20150724_234322_009232","cougar","cougar S1SE",24518609,205.851808314248,74,0.578676094523534,0.658119658119658,5547.35,2124.81352429088,386.418495437486,1738.39502885339,1171.1214953271,1049.58333333333,1567.20930232558,NA,36797.8460768309,25890.0494722192,98946.8856083965,425540.616924884,84,31.4210320822034,74,24.6669784570568,234,63.1357186698479,496,39,"2015-07-23","2015-05-04",2,3785651,"e20150724_234322_009232.its",NA,14.3890707666165,24.6669784570568,-1.27606279700246
+"cougar S1SE e20150805_082832_009232","cougar","cougar S1SE",29914050,123.233062724706,140,0.545170215325394,0.662824207492795,3285.74,832.964041980273,46.2292467920593,786.734795188214,1034.48717948718,1011.26086956522,1227.63157894737,1614.609375,38842.4837158459,27990.9941983784,11228.1687033351,198973.258385274,127,37.5475737989339,97,27.6793011979321,38,9.14620387409929,453,60,"2015-07-25","2015-05-04",2,910960,"e20150805_082832_009232.its",NA,12.3955131451609,33.2151614375185,-1.27606279700246
 "cougar S1SE e20150812_095049_009232","cougar","cougar S1SE",23461490,183.671199058542,130,0.393383007400249,0.522292993630573,5989.28,1959.60597557956,789.262915526678,1170.34306005288,1132.53488372093,1081.97986577181,1698.56807511737,1554.30242272348,74725.1773011859,49474.6071114835,222059.553762357,285480.589681218,231,65.9804641563686,178,45.7259960897624,386,130.733384793549,518,65,"2015-08-05","2015-05-04",3,5606460,"e20150812_095049_009232.its",NA,19.0269245474179,40.5089361332123,-1.19077412763435
 "cougar S1SE e20150814_083900_009232","cougar","cougar S1SE",25225800,137.002592583783,86,0.458076937363032,0.564885496183206,2186.19,837.335584996313,53.6650572033394,783.670527792974,1097.20221606648,1035.32467532468,1282.89855072464,1489.875,56526.4134338653,34130.770877435,12632.7807244963,204116.737625764,151,51.5186832528602,98,32.9662488404729,40,9.84706134195942,382,36,"2015-08-12","2015-05-04",3,9464270,"e20150814_083900_009232.its",NA,12.1304378850225,34.964203315653,-1.19077412763435
 "cougar S1SE e20150830_165913_009232","cougar","cougar S1SE",29677609,55.4357327101385,59,0.264978760168073,0.474264705882353,1410.64,356.651912221096,33.3524173055855,323.29949491551,NA,973.248407643312,1377.4,1518.00875273523,52451.6648224592,18535.1859039588,8354.17704977513,84151.9274682809,81,29.4767681587826,86,19.0446609091723,35,6.06517863349436,224,22,"2015-08-14","2015-05-04",3,7134331,"e20150830_165913_009232.its",NA,6.30778577883414,18.5594466184927,-1.19077412763435
@@ -773,7 +773,7 @@
 "lucid C012 0454","lucid","lucid C012",57599990,78.8125136827281,619,0.851007488979471,0.875938803894298,1902.76,707.791372880447,315.307554740895,392.483818139552,1197.58177927239,1084.80682839173,1406.34444444444,1225.38461538462,244830.667505324,75461.8881010222,79106.8887338348,96575.6417666045,645,204.437535492628,170,69.562512076825,275,56.2500097656267,235,160,"1001-09-01","0999-02-01",30,0,NA,NA,47.750008289932,199.062534559468,1.11201994530481
 "lucid C055 0482","lucid","lucid C055",57599990,145.312525227869,523,0.699899641577061,0.731534478059417,3488.35,1191.62645687959,418.423197642916,773.203259236677,1010.42792109256,1141.4089347079,1485.18397383483,1368.72258064516,208085.036125874,207593.786040588,113523.769708988,198892.534529954,514,205.937535753044,508,181.875031575526,195,76.4375132704016,506,110,"1000-12-01","0999-02-01",21,0,NA,NA,37.5625065212685,169.125029361984,0.344421920991757
 "lucid C025 0490","lucid","lucid C025",57599990,175.00003038195,524,0.782920105644923,0.815327564894932,2552.61,1252.56146745859,303.196927638355,949.364539820233,1089.19864559819,1009.4750211685,1478.88228299643,1373.4,241257.54188499,74511.8879360917,77733.763495445,240345.04172657,578,221.500038454868,193,73.8125128146724,162,52.5625091254356,396,120,"1001-02-01","0999-01-01",25,0,NA,NA,52.3125090820328,210.812536599399,0.685576598464225
-"lucid C026 0558","lucid","lucid C026",57599990,90.0000156250027,856,0.833619627421266,0.847397563676633,1666.28,658.984489407029,204.70878553972,454.27570386731,1111.53243574051,1195.8052114481,1294.85163204748,1323.84722222222,283788.17426878,174961.280375222,54545.6344697282,119146.270685116,836,255.312544325095,594,146.31252540148,184,42.1250073133693,218,164,"1001-09-01","0999-02-01",30,0,NA,NA,43.4375075412339,242.000042013896,1.11201994530481
+"lucid C026 0558","lucid","lucid C026",57599990,90.0000156250027,856,0.833619627421266,0.847397563676633,1666.28,658.984489407029,204.70878553972,454.27570386731,1111.53243574051,1195.8052114481,1294.85163204748,1323.84722222222,283788.17426878,174961.280375222,54545.6344697282,119146.270685116,836,255.312544325095,594,146.31252540148,184,42.1250073133693,218,164,"1001-09-01","0999-02-01",30,0,NA,NA,43.437507541234,242.000042013896,1.11201994530481
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@@ -813,14 +813,14 @@
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@@ -871,7 +871,7 @@
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@@ -898,7 +898,7 @@
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@@ -910,7 +910,7 @@
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@@ -936,7 +936,7 @@
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@@ -959,7 +959,7 @@
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@@ -971,7 +971,7 @@
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 "lucid C061 8897","lucid","lucid C061",42678490,142.891653383238,227,0.532441640687283,0.601620526671168,2465.81,843.673991277573,107.684971984716,735.989019292857,1034.12412780022,1102.23510380156,1326.07547169811,1346.34002361275,237527.428922626,NA,29642.0046726114,192380.751990054,378,229.689475892891,721,NA,57,22.3531807240603,343,73,"1001-02-01","0999-01-01",25,0,"8897.its",85.854,31.041398137563,155.797452065432,0.685576598464225
 "lucid C019 8905","lucid","lucid C019",57599990,85.2500148003498,415,0.6249278261948,0.664918032786885,1686.3,761.504507205644,334.164433014659,427.340074190985,960.348918353105,1154.16110019646,1362.47533632287,1277.37536656892,86011.2649325113,183583.781872184,94947.5164839438,108896.268905602,569,89.5625155490478,333,159.062527615022,277,69.6875120985264,200,138,"1001-09-01","0999-02-01",30,0,"8905.its",100.55,20.6875035915805,64.8125112521721,1.11201994530481
@@ -994,7 +994,7 @@
 "lucid C025 9620","lucid","lucid C025",57599990,124.000021527782,664,0.755348438057922,0.796336996336996,2091.49,1036.21580489858,459.334454745565,576.881350153012,1093.88853570672,1068.37944664032,1294.03726708075,1250.50907258065,322628.806011945,118256.270530603,117191.270345707,155063.151920686,635,294.937551204436,246,110.687519216583,244,90.562515722659,392,154,"1000-11-01","0999-01-01",21,0,"9620.its",92.832,54.8125095160607,277.750048220494,0.344421920991757
 "lucid C041 9775","lucid","lucid C041",57599990,154.437526812071,412,0.50886597238297,0.618941641938675,3854.52,1407.81211941183,570.435099033871,837.377020377955,1160.36141228802,1061.41626794258,1367.70770163736,1393.82840955079,260863.795288853,69323.7620353754,140959.399472118,215259.412371426,469,224.812539029955,245,65.3125113389777,209,103.062517892798,437,111,"1000-05-01","0999-02-01",14,0,"9775.its",82.503,46.4375080620674,159.875027756081,-0.252598764585061
 "lucid C018 9801","lucid","lucid C018",57599990,199.312534602871,275,0.563305276440805,0.6428046989721,4289.52,1331.74960620653,144.390025067713,1187.35958113882,976.10776035384,1098.44322344322,1279.05462184874,1491.21668234556,151723.776340933,112453.144523115,38051.8816062294,297218.176600378,319,155.437526985682,291,102.375017773441,102,29.7500051649315,512,100,"1000-09-01","0999-02-01",18,0,"9801.its",95.896,37.5000065104178,114.687519911028,0.0885559128874064
-"lucid C029 9826","lucid","lucid C029",57599990,143.062524837244,386,0.640169832327966,0.670562903721932,3366.16,1335.21960680896,453.207578681871,882.012028127088,1133.9617577994,1080.93936806149,1680.59469350412,1428.7374399301,211271.286679043,79111.2637345944,114805.644931536,204398.7854859,453,186.312532345926,162,73.1875127061654,187,68.3125118598111,377,176,"1000-05-01","0999-01-01",15,0,"9826.its",105.408,49.5000085937515,139.875024283858,-0.167310095216945
+"lucid C029 9826","lucid","lucid C029",57599990,143.062524837244,386,0.640169832327966,0.670562903721932,3366.16,1335.21960680896,453.207578681871,882.012028127088,1133.9617577994,1080.93936806149,1680.59469350412,1428.7374399301,211271.286679043,79111.2637345944,114805.644931536,204398.7854859,453,186.312532345926,162,73.1875127061654,187,68.3125118598111,377,176,"1000-05-01","0999-01-01",15,0,"9826.its",105.408,49.5000085937515,139.875024283858,-0.167310095216944
 "lyon HED e20120628_200523_008109_1","lyon","lyon HED",48695050,97.9565684807799,127,0.307048535869592,0.378854625550661,1371.93,585.082385170567,53.2432762673003,531.839108903266,1180.84761463641,1135.13598738668,1245.1497005988,1350.18113207547,188479.527179867,212905.089942407,15372.8972452025,132259.110525608,402,159.613759509437,329,187.559105083576,79,12.3462241028606,208,33,"2012-06-26","2011-10-09",8,0,"e20120628_200523_008109.its",87.589,13.4551663875486,64.9100883970753,-0.764330780793763
 "lyon HED e20120703_134402_008109_1","lyon","lyon HED",57599990,44.6875077582479,86,0.330455799015088,0.38741134751773,1239.59,382.128816341808,179.568781175136,202.560035166673,1028.02073515551,1121.90677966102,1275.54074074074,1178.13986013986,68170.63683518,82740.6393646943,53811.884342341,52648.1341403011,203,66.3125115125888,306,73.7500128038217,107,42.18750732422,127,20,"2012-06-30","2011-10-09",8,0,"e20120703_134402_008109.its",100.216,6.00000104166685,28.5000049479175,-0.764330780793763
 "lyon HED e20120706_100058_008015_1","lyon","lyon HED",48968550,84.4705428279988,122,0.279619111897266,NA,1542.44,416.104540567364,23.1540447899723,392.950495777392,1133.15367483296,1140.91478093404,1279.6,1270.46997389034,187021.016550419,174210.753636773,7055.38554847959,107317.28834119,266,165.044707266194,283,152.693922936252,23,5.51374300443856,302,36,"2012-07-04","2011-10-09",8,0,"e20120706_100058_008015.its",88.859,11.7626517428023,61.0922724891793,-0.764330780793763
@@ -1013,8 +1013,8 @@
 "lyon VAP e20120918_153634_008015_2","lyon","lyon VAP",51442010,69.14193282883,264,0.507295193514961,0.570321151716501,1183.58,387.124842128058,56.7131805308541,330.411661597204,1092.26138613861,1083.26180257511,1214.17112299465,1385.11133603239,193006.766259717,158970.460135597,15889.3480250869,95769.2749564024,470,176.703826308498,304,146.75165297779,71,13.0865804038373,214,34,"2012-09-14","2011-08-19",12,0,NA,NA,11.8269095628262,109.241454601016,-0.423176103321295
 "lyon VAP e20121106_140446_008344_1","lyon","lyon VAP",57599990,29.437505110678,394,0.501216025254207,0.610351846466996,694.71,219.963163188049,117.710020435767,102.253142752282,1142.99910206525,1030.75490196078,1239.70183486239,1156.64543524416,238672.541436205,65710.6364080966,33781.8808649099,34048.7559112423,558,208.812536252176,222,63.7500110677103,67,27.2500047309036,110,39,"2012-09-30","2011-08-19",13,0,"e20121106_140446_008344.its",89.264,14.3750024956602,134.062523274744,-0.337887433953178
 "lyon VAA e20121106_140637_008066_1","lyon","lyon VAA",57599990,41.5625072157131,205,0.528365224759983,0.627626459143969,821.16,337.650058619802,193.555658603413,144.094400016389,1116.47415185784,1185.15479115479,1307.51902587519,1120.85714285714,172774.404995556,150736.901169601,53690.0093211822,46585.6330877835,353,154.750026866324,379,127.187522081167,98,41.0625071289075,79,32,"2012-09-30","2011-08-19",13,0,"e20121106_140637_008066.its",72.367,13.1250022786462,106.062518413632,-0.337887433953178
-"lyon GAL e20130311_153356_008109_2","lyon","lyon GAL",46717070,150.49745200202,177,NA,0.46488164532402,3314.28,1105.33173420336,286.629448293739,818.702285909626,NA,909.563636363636,1439.18008784773,1524.33179723502,269899.032623407,19274.9245618357,75746.5311929879,229408.05148953,434,175.850069364367,45,21.1913974913238,127,52.6317254057243,414,49,"2013-03-09","2012-12-09",2,0,NA,NA,23.1949477995945,97.0951303238838,-1.27606279700247
-"lyon GAL e20130311_153528_008344_1","lyon","lyon GAL",43681930,133.345756471841,240,0.243652893152484,0.498082658713251,4001.05,1058.89222385549,347.322016220437,711.570207635056,NA,1083.71882086168,1624.92329149233,1544.41903584672,283636.643344284,39387.2706631781,96018.0101932309,205941.724644493,351,169.690304434809,116,36.3445479629678,217,59.0907956676823,350,54,"2013-03-10","2012-12-09",2,0,"e20130311_153528_008344.its",NA,20.5210712988185,99.7208685605238,-1.27606279700247
+"lyon GAL e20130311_153356_008109_2","lyon","lyon GAL",46717070,150.49745200202,177,NA,0.46488164532402,3314.28,1105.33173420336,286.629448293739,818.702285909626,NA,909.563636363636,1439.18008784773,1524.33179723502,269899.032623407,19274.9245618357,75746.5311929879,229408.05148953,434,175.850069364367,45,21.1913974913238,127,52.6317254057243,414,49,"2013-03-09","2012-12-09",2,0,NA,NA,23.1949477995945,97.0951303238838,-1.27606279700246
+"lyon GAL e20130311_153528_008344_1","lyon","lyon GAL",43681930,133.345756471841,240,0.243652893152484,0.498082658713251,4001.05,1058.89222385549,347.322016220437,711.570207635056,NA,1083.71882086168,1624.92329149233,1544.41903584672,283636.643344284,39387.2706631781,96018.0101932309,205941.724644493,351,169.690304434809,116,36.3445479629678,217,59.0907956676823,350,54,"2013-03-10","2012-12-09",2,0,"e20130311_153528_008344.its",NA,20.5210712988185,99.7208685605238,-1.27606279700246
 "lyon GOE e20130314_125307_008344_1","lyon","lyon GOE",39932360,181.116267608526,691,0.882168838913955,0.873150618481688,3895.92,1342.1112100562,111.686261468143,1230.42494858806,1218.61763022324,1135.41369472183,1288.24175824176,1697.29716276755,383855.599819294,287018.348026513,31705.7143629878,307408.127142999,559,314.992652575505,503,252.787463600949,84,24.6116182464548,449,114,"2013-03-13","2010-07-04",32,0,"e20130314_125307_008344.its",103.516,48.141407119439,331.58070296872,1.28259728404104
 "lyon CUM e20130314_125532_008066_1","lyon","lyon CUM",43195110,198.605814408159,229,0.439196012230707,0.506111661711265,4652.71,1575.07162269062,437.44868342736,1137.62293926326,1009.20662905501,1076.93163751987,1368.68554095046,1459.05581200168,238536.167635642,169366.671366273,112815.270061819,289776.967809551,450,236.360087982181,432,157.267801841458,293,82.4259968315858,461,97,"2013-03-13","2011-08-18",18,0,"e20130314_125532_008066.its",90.775,45.9218647666368,131.431543987271,0.0885559128874064
 "lyon GAL e20130318_152148_008066_1","lyon","lyon GAL",41509490,155.675244383875,456,0.355180162125873,0.566750629722922,3079.18,1245.96134522491,489.954658561211,756.0066866637,1262.88429054054,937.238095238095,1445.07,1408.46239554318,259358.426229761,34139.2775483389,125326.810808805,219262.727631681,477,205.369904568811,51,36.4254053711573,236,86.7271556456126,304,84,"2013-03-17","2012-12-09",3,0,"e20130318_152148_008066.its",NA,34.257226480017,140.064356367664,-1.19077412763435
@@ -1051,7 +1051,7 @@
 "lyon FRH e20131025_085524_008344_1","lyon","lyon FRH",41859430,241.493971609265,117,0.755194459243474,0.798076923076923,2372.47,1245.16545017455,178.185226124675,1066.98022404987,946.467576791809,1156.86016949153,1557.80612244898,1342.31837606838,47699.3594991618,234802.146135291,52518.0586548837,324161.795800851,113,50.3972462119049,365,202.965018873883,100,33.7128336434586,376,32,"2013-10-13","2010-08-11",38,0,"e20131025_085524_008344.its",NA,17.3724295815782,48.6772036790754,1.79432930024975
 "warlaumont 0204 0204_000314","warlaumont","warlaumont 0204",57599990,181.187531456169,254,0.378048706627663,0.450036469730124,NA,1369.49648775981,232.765665410706,1136.7308223491,1267.9765625,1142.28571428571,1705.8617131063,1540.42083477061,101438.142610789,29985.0052057301,103311.267935984,279105.048455738,480,80.0000138888913,163,26.2500045572925,433,60.5625105143247,NA,118,"2015-12-06","2015-08-22",3,18475770,"0204_000314.its",115.114,18.8125032660596,39.3750068359387,-1.19077412763435
 "warlaumont 0204 0204_000609","warlaumont","warlaumont 0204",57599990,181.937531586377,278,0.636460647604524,0.673422385997236,6662.01,1450.25650178064,144.446275077478,1305.81022670316,1182.01241593378,1036.88646788991,1496.24040920716,NA,142801.899791996,113020.64462164,36564.3813479829,323864.431226464,320,120.812520974396,330,109.000018923614,106,24.4375042426223,524,68,"2016-03-03","2015-08-22",6,6922460,"0204_000609.its",78.486,22.6875039388028,95.1250165147598,-0.934908119529997
-"warlaumont 0274 0274_000221","warlaumont","warlaumont 0274",36011490,111.864296645321,210,0.596164796075436,0.6225,2874.75,773.083257593618,185.714726049936,587.368531543682,1168.54089219331,1124.13461538462,1351.30311614731,1399.56210902592,125694.882383373,140247.237756616,47685.7802884579,156561.030937626,286,107.565668624097,312,124.76018070899,106,35.2887370114372,409,102,"2015-12-20","2015-09-29",2,0,"0274_000221.its",86.118,22.5927891348011,76.875463914434,-1.27606279700247
+"warlaumont 0274 0274_000221","warlaumont","warlaumont 0274",36011490,111.864296645321,210,0.596164796075436,0.6225,2874.75,773.083257593618,185.714726049936,587.368531543682,1168.54089219331,1124.13461538462,1351.30311614731,1399.56210902592,125694.882383373,140247.237756616,47685.7802884579,156561.030937626,286,107.565668624097,312,124.76018070899,106,35.2887370114372,409,102,"2015-12-20","2015-09-29",2,0,"0274_000221.its",86.118,22.5927891348011,76.875463914434,-1.27606279700246
 "warlaumont 0274 0274_000605","warlaumont","warlaumont 0274",37867930,125.964107359446,231,0.402068188640591,0.519592875318066,2025.21,911.456316730278,173.598504063993,737.857812666285,1244.66173962479,1142.17171717172,1379.2816091954,1514.50566037736,208136.436293191,107497.293884297,45631.3297294043,190773.353600263,406,167.223294222842,288,94.1165783289448,85,33.0834032913867,342,59,"2016-04-03","2015-09-29",6,0,"0274_000605.its",89.863,22.5309384484444,100.486084135045,-0.934908119529997
 "warlaumont 0274 0274_000911","warlaumont","warlaumont 0274",36410490,113.604623283015,259,0.517957284403327,0.575117370892019,1694.6,853.347702818611,237.687765256661,615.65993756195,1080.983436853,1136.81933842239,1387.28773584906,1378.54656222802,206491.480889161,132519.941368545,58157.8550577045,156609.262880011,303,191.021873092068,205,116.570801436619,122,41.92198457093,172,46,"2016-07-10","2015-09-29",9,15460,"0274_000911.its",94.47,22.5429539673869,123.491883795027,-0.679042111425646
 "warlaumont 0300 0300_000310","warlaumont","warlaumont 0300",41984800,24.094434176178,197,NA,0.421971252566735,973.34,208.724681313237,98.7451649168271,109.97951639641,1298.01633605601,1097.86350148368,1239.48717948718,1218.89679715302,95383.091023418,63448.1050284865,24869.5718450487,29368.6286465578,269,73.4837369714754,261,57.7923438958861,133,20.0644042605895,89,50,"2016-11-02","2016-07-23",3,0,"0300_000310.its",106.105,8.060059831177,37.4707036832377,-1.19077412763435
@@ -1082,7 +1082,7 @@
 "warlaumont 0857 0857_000908","warlaumont","warlaumont 0857",46994930,66.1858630282033,358,0.370644193896833,0.445966514459665,4271.78,810.763033374026,478.176007496979,332.587025877047,1130.2071668533,1166.66666666667,1471.87751004016,1294.24768518519,154629.020619884,57912.6301496779,112300.709885088,85660.9000162358,712,136.814758528207,325,49.6393972711524,431,76.2975921019565,420,49,"2016-09-26","2015-12-18",9,66040712,"0857_000908.its",76.968,7.12417275650799,68.4839832722381,-0.679042111425646
 "warlaumont 0955 0955_000301","warlaumont","warlaumont 0955",43847180,163.549856570023,419,0.35106777731168,0.561194988756826,5640.36,1155.28104658042,92.4171634298945,1062.86388315052,NA,1208.24646464646,1258.13043478261,1592.37449799197,393093.558126201,245522.653908416,23758.2439737288,260432.620752349,514,207.639351036942,452,203.205770587755,85,18.8837685798722,693,62,"2016-04-16","2016-01-15",3,0,"0955_000301.its",118.679,22.1679022459369,148.360738364474,-1.19077412763435
 "warlaumont 0955 0955_000609","warlaumont","warlaumont 0955",37859110,122.57023474667,156,0.437739617790494,0.474639615589963,2273.4,949.05971112369,278.246794496754,670.812916626936,1100.32672112019,934.695863746959,1320.39355992844,1263.72381691234,179334.802112358,36529.543351653,70185.4850787565,154894.924893903,311,162.983229135603,78,39.0817428090623,143,53.1549737962673,283,44,"2016-07-24","2016-01-15",6,0,"0955_000609.its",87.575,19.6835055023745,84.629564720354,-0.934908119529997
-"warlaumont 0955 0955_000902","warlaumont","warlaumont 0955",44879430,187.221629151707,268,0.636779492995231,0.668005354752343,5827.52,1464.52635427856,228.038992473835,1236.48736180473,1055.06949524506,1195.94303981401,1461.19658119658,1651.09682947729,231384.756891966,330103.657733621,54854.1726131548,309121.038301957,391,219.307598157998,510,276.019548376617,85,37.5405837373603,654,97,"2016-10-17","2016-01-15",9,0,"0955_000902.its",106.935,30.0003810208819,161.472639024159,-0.679042111425646
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@@ -1103,8 +1103,8 @@
 "winnipeg C168 C168_20151019","winnipeg","winnipeg C168",53164800,186.687432286024,187,0.663806810943179,0.695869269178393,2776.65,1191.61836403034,379.393282773564,812.225081256771,1040.54347826087,1086.22146118721,1650.30655391121,1326.18425825172,149091.955579632,64431.8797399783,105714.382448537,247581.933911159,293,143.282773564464,167,59.31744312026,216,64.0574214517876,427,61,"1000-01-01","0999-05-01",8,0,"C168_20151019.its",104.016,32.2318526543879,106.514084507042,-0.764330780793763
 "winnipeg C168 C168_20151021","winnipeg","winnipeg C168",46146930,183.327471621623,336,0.641212139161518,0.680945757997218,1968.38,1093.98445357037,124.85302922643,969.131424343938,1071.46702964307,1048.27092511013,1373.10541310541,1401.71063829787,276338.469319628,74253.8669419613,37598.5141373435,256972.06726428,440,257.9066473111,118,70.8346145669929,54,27.3821032081657,318,109,"1000-01-01","0999-05-01",8,0,"C168_20151021.its",113.954,52.4238557147789,194.171096538816,-0.764330780793763
 "winnipeg C168 C168_20151030","winnipeg","winnipeg C168",49442740,138.196224561988,329,0.76889535130762,0.770645792563601,2485.28,1097.40471502995,379.425088496309,717.979626533643,1034.27750410509,1015.57522123894,1481.27408993576,1357.59220231823,183448.571013661,50135.0855555335,100735.436587859,187614.116855174,388,177.368810870919,206,49.366196129098,245,68.0059398002619,287,91,"1000-02-01","0999-05-01",9,0,"C168_20151030.its",112.363,35.1679538795787,144.749259446382,-0.679042111425646
-"winnipeg C170 C170_20151102","winnipeg","winnipeg C170",39006050,270.881055631114,150,0.5978222841641,0.625144175317186,3197.06,1810.84031836087,290.389106305304,1520.45121205557,1010.15,1063.46975088968,1692.45261984392,1488.41226575809,74584.1222066833,55160.981437495,140113.341391912,403182.68576285,197,73.8347000016664,165,51.8688767511707,165,82.7871573768685,438,63,"1000-01-01","0999-11-01",2,0,"C170_20151102.its",NA,23.0733437505208,57.9602395013081,-1.27606279700247
-"winnipeg C170 C170_20151118","winnipeg","winnipeg C170",22964990,NA,209,0.52375873170668,0.652336448598131,3451.08,2160.08088834352,341.276699880993,1818.80418846252,1107.68100734523,1286.47928994083,1418.10055865922,1450.55873925501,165479.36663591,68164.1054492077,119376.146037947,476154.877489605,300,149.392618938654,141,52.985000211191,150,84.1803109864189,425,62,"1000-01-01","0999-11-01",2,0,"C170_20151118.its",97.897,41.541494248419,116.159423539919,-1.27606279700247
+"winnipeg C170 C170_20151102","winnipeg","winnipeg C170",39006050,270.881055631114,150,0.5978222841641,0.625144175317186,3197.06,1810.84031836087,290.389106305304,1520.45121205557,1010.15,1063.46975088968,1692.45261984392,1488.41226575809,74584.1222066833,55160.981437495,140113.341391912,403182.68576285,197,73.8347000016664,165,51.8688767511707,165,82.7871573768685,438,63,"1000-01-01","0999-11-01",2,0,"C170_20151102.its",NA,23.0733437505208,57.9602395013081,-1.27606279700246
+"winnipeg C170 C170_20151118","winnipeg","winnipeg C170",22964990,NA,209,0.52375873170668,0.652336448598131,3451.08,2160.08088834352,341.276699880993,1818.80418846252,1107.68100734523,1286.47928994083,1418.10055865922,1450.55873925501,165479.36663591,68164.1054492077,119376.146037947,476154.877489605,300,149.392618938654,141,52.985000211191,150,84.1803109864189,425,62,"1000-01-01","0999-11-01",2,0,"C170_20151118.its",97.897,41.541494248419,116.159423539919,-1.27606279700246
 "winnipeg C170 C170_20151127","winnipeg","winnipeg C170",31065930,171.39033017843,160,0.525366045592272,0.605925925925926,1795.28,1053.50240601199,168.691424979069,884.810981032919,1168.29113924051,1108.80733944954,1848.04953560372,1432.65043948614,85563.0589523636,56022.2726311429,69172.6273766792,245542.431853803,193,73.2377881492684,142,50.5248032169003,169,37.430072107933,255,54,"1000-02-01","0999-11-01",3,0,"C170_20151127.its",98.378,19.2365076468015,50.0612729121581,-1.19077412763435
 "winnipeg C170 C170_20160419","winnipeg","winnipeg C170",18751550,176.049446579083,190,0.469691895512391,0.498161764705882,2937.02,1191.93346683341,84.3904637216657,1107.54300311174,1153.16326530612,1300.52462526767,1293.8961038961,1509.23664122137,108480.632267733,233201.202033965,19127.3788033523,265700.275443897,295,94.0722233628687,529,179.313176777386,46,14.7827779570222,390,45,"1000-04-01","0999-11-01",4,1423080,"C170_20160419.its",NA,12.0950001466545,54.7154768539134,-1.10548545826623
 "winnipeg C173 C173_20151123","winnipeg","winnipeg C173",38207680,123.2422382097,256,0.682423444578605,0.620790629575403,2038.19,732.174787896046,80.1705835057245,652.004204390322,1000.54675118859,1113.44236760125,1341.6049382716,1393.0122324159,118973.044162849,134705.273913517,20478.1865844773,171677.945376427,296,118.908031055536,194,120.980912737963,62,15.2639469342289,320,43,"1000-01-01","0998-08-01",17,0,"C173_20151123.its",91.363,16.7714972487207,86.2130336099967,0.00326724351928943
@@ -1206,33 +1206,33 @@
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 "fausey-trio Z828 Z828/Z828_000721","fausey-trio","fausey-trio Z828",41636875,152.69157447575,450,0.592550544016536,0.651428571428571,3331.92,1191.67473543584,200.666644650925,991.008090784911,1098.34602368866,1066.63316582915,1400.40865384615,1603.28425821065,224497.251534847,73409.543823834,50370.0625947553,244807.997718369,524,204.395742956214,151,68.8236088803495,123,35.9681172038007,454,156,"1000-08-22","1000-01-01",7,0,"Z828/Z828_000721.its",106.055,45.3059937855567,149.492487128297,-0.84961945016188
 "fausey-trio Z828 Z828/Z828_000722","fausey-trio","fausey-trio Z828",48235437,86.5753533030083,379,0.529156850379382,0.595777548918641,3124.24,659.890030642824,115.705720671713,544.184309971111,1109.26884139483,1047.18208092486,1392.80821917808,1586.0775862069,147198.998114187,54083.4739405388,30353.6174037358,137315.227391845,509,132.699119114439,188,51.6466762807601,84,21.7931061762745,423,105,"1000-08-23","1000-01-01",7,0,"Z828/Z828_000722.its",107.095,22.9126150551927,87.3963264808817,-0.84961945016188
-"quechua 1070 20190605_152502_009814","quechua","quechua 1070",50959687,153.580221165801,659,0.790550207460133,0.812765957446808,2065.39,835.57671772984,43.0102327747814,792.566484955059,1061.90768182592,1047.37679351216,1350.07042253521,1340.88316467341,440427.665892061,237215.036269748,13543.1758048278,205933.132988042,663,NA,396,226.484907570174,58,10.0314587881986,351,85,"2019-06-03","2014-07-30",58,0,"20190605_152502_009814.its",NA,54.2546503474403,368.691432504285,3.50010268761209
+"quechua 1070 20190605_152502_009814","quechua","quechua 1070",50959687,153.580221165801,659,0.790550207460133,0.812765957446808,2065.39,835.57671772984,43.0102327747814,792.566484955059,1061.90768182592,1047.37679351216,1350.07042253521,1340.88316467341,440427.665892061,237215.036269748,13543.1758048278,205933.132988042,663,NA,396,226.484907570174,58,10.0314587881986,351,85,"2019-06-03","2014-07-30",58,0,"20190605_152502_009814.its",NA,54.2546503474403,368.691432504285,3.50010268761208
 "quechua 1046 20190605_152752_008712","quechua","quechua 1046",43278250,195.811984079763,381,0.728182950846943,0.763636363636364,1599.53,967.391056708624,76.5812850565815,890.809771652042,1105.2634467618,1076.30202578269,1373.87283236994,1285.12744265081,335024.821937116,243073.044774223,19770.8548751394,251643.354340806,504,303.117616816761,474,225.840924713915,71,14.3906003593029,338,96,"2019-06-03","2017-11-13",18,0,"20190605_152752_008712.its",87.289,52.9873550802077,267.93135119835,0.0885559128874064
-"quechua 1070 20190607_165330_008293","quechua","quechua 1070",57600000,195.125,657,0.898106093664713,0.901182120428519,5569.28,1186.88125,77.825,1109.05625,1063.54754230459,1011.17954677513,1265.11784511785,1527.99487508008,329965.625,108765,23483.75,298150,594,310.25,198,107.5625,44,18.5625,701,111,"2019-06-06","2014-07-30",58,0,"20190607_165330_008293.its",NA,59.8125,309.625,3.50010268761209
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 "quechua 1044 20190607_165831_009107","quechua","quechua 1044",45831375,185.453742114436,446,0.536384714746488,0.628278412911903,2136.43,1075.24288765065,91.6908122437959,983.552075406858,1154.05375754251,1123.19073083779,1479.2,1497.33587462939,NA,296966.346743906,29047.3502049633,277686.541152213,594,NA,483,264.395296889958,129,19.6372026804782,342,87,"2019-06-06","2016-05-15",36,0,"20190607_165831_009107.its",94.721,54.0415817766759,302.570018900808,1.62375196151351
 "quechua 1046 20190607_170010_009144","quechua","quechua 1046",42083750,237.725963109276,349,0.594330135357163,0.67887862376553,1939.92,1260.41895030742,131.846805477174,1128.57214483025,1125.89436619718,1139.51730418944,1420.18126888218,1396.80100755668,273529.426441322,321094.2941159,40212.38601598,332055.864793418,458,242.944129266047,572,281.780972465619,107,28.3149671785428,390,80,"2019-06-06","2017-11-13",18,0,"20190607_170010_009144.its",92.381,49.0165443906496,186.82745715389,0.0885559128874064
 "quechua 1046 20190610_154144_009814","quechua","quechua 1046",43207125,114.731077339675,382,0.714060303756789,0.746089049338147,2125.24,697.560784245654,204.158827971081,493.401956274573,945.277234181344,967.024608501119,1303.93103448276,1273.71096586783,120739.25307458,36015.7265728743,63012.9405740373,146134.231333374,402,127.728933596021,100,37.2438573499162,108,48.3253630043656,434,126,"2019-06-07","2017-11-13",18,-35800375,"20190610_154144_009814_1.its",NA,28.0787022973641,106.315798609604,0.0885559128874064
 "quechua 1044 20190610_154256_009816","quechua","quechua 1044",57600000,124.1875,520,0.591969448933827,0.649894192334822,1256.1,669.193125,81.825,587.368125,1088.58186947044,1103.55815061964,1276.21710526316,1320.52340211374,NA,289408.125,24248.125,163992.5,735,NA,404,262.25,97,19,188,85,"2019-06-06","2016-05-15",36,0,"20190610_154256_009816.its",98.037,51.1875,353.8125,1.62375196151351
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 "quechua 1032 20190610_194441_008712","quechua","quechua 1032",57600000,106.0625,307,0.501920604222656,0.604094076655052,3394.54,891.344375,302.936875,588.4075,1332.44174757282,1155.0397067807,1475.51992225462,1476.93576900412,171551.875,118175,94894.375,156647.5,378,128.75,301,102.3125,351,64.3125,328,61,"2019-06-09","2018-08-27",9,0,"20190610_194441_008712.its",81.488,17.0625,89,-0.679042111425646
-"quechua 1034 20190610_205128_009812","quechua","quechua 1034",46736750,116.773203100344,398,0.781827774156042,0.799248989023686,1431.94,681.850749142805,156.160280721274,525.690468421531,1022.96331138288,1044.40044617959,1314.82142857143,1237.92875989446,251280.373581817,144241.865341514,51043.6005926813,144556.906502913,481,245.639673276383,302,138.109731635169,107,38.8216981283465,182,67,"2019-06-09","2013-06-16",71,0,"20190610_205128_009812.its",85.501,36.510882763564,217.832861720167,4.60885538939761
+"quechua 1034 20190610_205128_009812","quechua","quechua 1034",46736750,116.773203100344,398,0.781827774156042,0.799248989023686,1431.94,681.850749142805,156.160280721274,525.690468421531,1022.96331138288,1044.40044617959,1314.82142857143,1237.92875989446,251280.373581817,144241.865341514,51043.6005926813,144556.906502913,481,245.639673276383,302,138.109731635169,107,38.8216981283465,182,67,"2019-06-09","2013-06-16",71,0,"20190610_205128_009812.its",85.501,36.510882763564,217.832861720167,4.6088553893976
 "quechua 1032 20190611_204054_009816","quechua","quechua 1032",56928999,100.988952923623,479,0.796520942017862,0.818722139673105,2871.34,742.990334328555,233.417278248648,509.573056079908,1172.10702341137,1102.45641838352,1368.68318122555,1389.47401377583,132971.528271558,87981.171072409,66384.5854728624,140321.525765805,483,113.446575795229,287,79.8046703754619,222,48.5025215356413,355,81,"2019-06-10","2018-08-27",9,-46848187,"20190611_204054_009816_1.its",75.508,21.5637025340987,108.577352642368,-0.679042111425646
-"quechua 1034 20190611_204512_003209","quechua","quechua 1034",53100562,172.201567282847,614,0.675319771115002,0.71327731092437,4823.3,1192.19077191688,348.600378278482,843.590393638395,1103.17269076305,1017.60884588804,1446.5204957102,1350.91338582677,204851.391215031,99828.095981357,102873.487478343,232629.402302748,781,185.692949916425,376,98.1006566371181,278,71.1178913699633,631,128,"2019-06-10","2013-06-16",71,-34945375,"20190611_204512_003209_1.its",110.206,33.4911709597349,144.947618445168,4.60885538939761
+"quechua 1034 20190611_204512_003209","quechua","quechua 1034",53100562,172.201567282847,614,0.675319771115002,0.71327731092437,4823.3,1192.19077191688,348.600378278482,843.590393638395,1103.17269076305,1017.60884588804,1446.5204957102,1350.91338582677,204851.391215031,99828.095981357,102873.487478343,232629.402302748,781,185.692949916425,376,98.1006566371181,278,71.1178913699633,631,128,"2019-06-10","2013-06-16",71,-34945375,"20190611_204512_003209_1.its",110.206,33.4911709597349,144.947618445168,4.6088553893976
 "quechua 1044 20190611_205334_009144","quechua","quechua 1044",37959562,214.238509917475,569,0.638408967302457,0.683996750609261,3226.46,1269.23182095726,101.036360746207,1168.19546021105,1048.68651488616,1082.37406716418,1418.69918699187,1535.0420540062,340733.120155601,220081.464585919,33098.3797969007,328865.122310948,676,324.914181043501,298,203.332167004456,74,23.3300900574143,488,88,"2019-06-10","2016-05-15",36,0,"20190611_205334_009144.its",97.943,50.4536906932699,245.629809954077,1.62375196151351
 "quechua 1068 20190612_172906_008293","quechua","quechua 1068",40077000,103.390972378172,634,0.811609206808092,0.820821917808219,988.52,549.589939366719,74.5412081742645,475.048731192455,938.357515960534,980.811843361987,1378.75776397516,1292.44135534318,290463.058612172,92244.3296653941,19939.8158544801,133626.768470694,645,309.544127554458,170,94.0489557601617,75,14.4621603413429,196,70,"2019-06-10","2015-08-03",46,0,"20190612_172906_008293.its",91.522,38.2663373006962,272.804850662475,2.47663865519468
 "quechua 1032 20190612_173054_008712","quechua","quechua 1032",57600000,114.875,185,0.578573035546284,0.664553314121037,2624.27,866.405625,281.550625,584.855,1316.33289124668,1113.48365276212,1548.68070953437,1426.68117519042,124064.375,61728.75,87306.875,163890,311,94.25,249,55.4375,360,56.375,341,61,"2019-06-11","2018-08-27",9,0,"20190612_173054_008712.its",87.742,21.625,74.375,-0.679042111425646
-"quechua 1034 20190612_173650_009812","quechua","quechua 1034",40464187,137.89971858325,NA,0.828312263075409,0.825878594249201,2202.08,732.838250277956,91.5618544368629,641.276395841093,1014.35863293387,1143.07692307692,1472.32067510549,1388.21935483871,203322.014105955,189054.286448409,31044.3405177027,191435.058364079,NA,200.443913527782,651,165.390694739524,139,21.0853118091808,435,136,"2019-06-11","2013-06-16",71,-26399500,"20190612_173650_009812_1.its",70.972,26.7792356732634,191.547157490153,4.60885538939761
+"quechua 1034 20190612_173650_009812","quechua","quechua 1034",40464187,137.89971858325,NA,0.828312263075409,0.825878594249201,2202.08,732.838250277956,91.5618544368629,641.276395841093,1014.35863293387,1143.07692307692,1472.32067510549,1388.21935483871,203322.014105955,189054.286448409,31044.3405177027,191435.058364079,NA,200.443913527782,651,165.390694739524,139,21.0853118091808,435,136,"2019-06-11","2013-06-16",71,-26399500,"20190612_173650_009812_1.its",70.972,26.7792356732634,191.547157490153,4.6088553893976
 "quechua 1068 20190613_184703_003209","quechua","quechua 1068",37499812,107.328538073738,429,0.874790067603313,0.884057971014493,1296.7,740.623552992746,229.101308561227,511.522244431519,959.648109243697,1014.51901565996,1391.08163265306,1329.16815742397,175409.199384786,87070.5165135228,65436.8080565311,142657.675190478,422,182.784916361714,235,85.8244302664771,125,47.0402358283823,197,76,"2019-06-12","2015-08-03",46,0,"20190613_184703_003209.its",100.293,31.1041559355018,179.0408975917,2.47663865519468
 "quechua 1005 20190614_080536_008293","quechua","quechua 1005",57600000,103.3125,400,0.805944643510439,0.855038759689922,1422.35,522.730625,87.71125,435.019375,1123.73251748252,1089.45823927765,1288.06539509537,1223.36358136721,160693.75,30164.375,29545,126388.75,408,143,120,27.6875,135,22.9375,316,152,"2019-06-12","2015-08-11",46,0,"20190614_080536_008293.its",78.595,38.75,138.6875,2.47663865519468
 "quechua 1005 20190615_074056_003209","quechua","quechua 1005",34103749,213.548369711494,594,0.805189088672922,0.829241071428571,4105.04,1128.79367016219,130.167390101305,998.626280060881,1149.68058968059,1046.87555953447,1344.41064638783,1368.1512605042,197574.993881171,123437.92466922,37323.9903917895,292166.471199398,583,171.852074093086,404,117.910790394335,99,27.762343664915,599,139,"2019-06-14","2015-08-11",46,-11154062,"20190615_074056_003209_1.its",85.467,43.9130607019187,160.768248675534,2.47663865519468
 "quechua 1061 20190616_220731_009107","quechua","quechua 1061",55485312,154.8085374378,233,0.639144656364324,0.725037257824143,2036.8,783.878803817486,82.4709068951437,701.407896922342,1018.9507154213,1088.45650500385,1328.58044164038,1321.73931265717,166336.777560159,183474.069678116,27325.7182008817,204616.529866499,251,163.243202092835,284,168.563529029088,48,20.5676053511243,371,45,"2019-06-14","2017-09-05",21,0,"20190616_220731_009107.its",92.158,20.4378412795084,129.893835687542,0.344421920991757
-"quechua 1050 20190616_221024_003209","quechua","quechua 1050",50124437,251.948964534006,417,0.708131605518256,0.778452601003433,1975.81,1247.62929506819,86.5848328630604,1161.04446220513,1271.34509690483,1091.0175879397,1260.98360655738,1361.3141391106,315657.291073414,187119.508195174,27622.454891613,342981.687754418,533,248.286080500016,336,171.509158297379,68,21.9054829483671,441,127,"2019-06-15","2014-08-02",58,0,"20190616_221024_003209.its",99.22,66.0755551229433,216.756549305481,3.50010268761209
+"quechua 1050 20190616_221024_003209","quechua","quechua 1050",50124437,251.948964534006,417,0.708131605518256,0.778452601003433,1975.81,1247.62929506819,86.5848328630604,1161.04446220513,1271.34509690483,1091.0175879397,1260.98360655738,1361.3141391106,315657.291073414,187119.508195174,27622.454891613,342981.687754418,533,248.286080500016,336,171.509158297379,68,21.9054829483671,441,127,"2019-06-15","2014-08-02",58,0,"20190616_221024_003209.its",99.22,66.0755551229433,216.756549305481,3.50010268761208
 "quechua 1051 20190616_221255_009814","quechua","quechua 1051",55827437,198.41856612547,560,0.646852645222571,0.713615870153291,2415.18,1044.35552002862,82.1415462794754,962.213973749144,1095.65868263473,1126.01179506082,1422.91666666667,1357.55931101722,353971.112806056,196991.52586926,24223.5730793087,269364.971922318,559,323.066953619956,420,174.946236561066,60,17.0238873763809,449,110,"2019-06-15","2016-11-25",30,0,"20190616_221255_009814.its",98.878,58.4873706453692,259.87222017733,1.11201994530481
-"quechua 1050 20190617_190808_008712","quechua","quechua 1050",24052750,NA,384,0.727735339943485,0.787920384351407,3015,1753.57428984212,191.968070179086,1561.60621966303,1148.90261627907,1040.47261009667,1360.31802120141,1401.94156456173,236613.443369261,144983.338703475,57618.8585504776,445259.357038177,416,205.947344898193,233,139.34373408446,83,42.356903056823,510,147,"2019-06-16","2014-08-02",58,0,"20190617_190808_008712.its",105.53,64.9572294228311,178.557545395017,3.50010268761209
+"quechua 1050 20190617_190808_008712","quechua","quechua 1050",24052750,NA,384,0.727735339943485,0.787920384351407,3015,1753.57428984212,191.968070179086,1561.60621966303,1148.90261627907,1040.47261009667,1360.31802120141,1401.94156456173,236613.443369261,144983.338703475,57618.8585504776,445259.357038177,416,205.947344898193,233,139.34373408446,83,42.356903056823,510,147,"2019-06-16","2014-08-02",58,0,"20190617_190808_008712.its",105.53,64.9572294228311,178.557545395017,3.50010268761208
 "quechua 1051 20190617_191424_008293","quechua","quechua 1051",55100312,219.788229148321,431,0.713557724641583,0.764087591240876,2905.52,1273.02204749766,141.121814337458,1131.9002331602,1007.39198497182,1265.05392912173,1519.6674584323,1444.23602853746,210223.782398909,160924.968991101,41800.2714757768,317426.079184452,527,208.681214001111,398,127.207991127165,88,27.5061963351496,513,126,"2019-06-16","2016-11-25",30,0,"20190617_191424_008293.its",100.055,51.2882758268229,174.641479344073,1.11201994530481
 "quechua 1061 20190617_192007_009144","quechua","quechua 1061",47137749,131.20694414152,528,0.804322429127997,0.853028798411122,2140.4,697.396984315055,125.486687962126,571.910296352929,1114.33519944017,1059.37033968517,1766.61807580175,1227.91036088475,243226.972929912,97653.7084959233,46277.5598385065,161110.366131399,615,218.270923373961,230,92.1808973101367,111,26.1955656813396,418,89,"2019-06-16","2017-09-05",21,-25586937,"20190617_192007_009144_1.its",79.105,31.6179714054653,200.476267969436,0.344421920991757
 "quechua 1051 20190619_091926_003209","quechua","quechua 1051",57600000,114.3125,489,0.756769352532772,0.785685071574642,3033.07,722.77375,227.273125,495.500625,1027.74739583333,1074.83560545309,1513.17010309278,1269.51886276654,147995.625,83770,73388.75,145121.875,587,144,480,77.9375,355,48.5,459,120,"2019-06-17","2016-11-25",30,0,"20190619_091926_003209.its",106.995,36.25,121.3125,1.11201994530481
-"quechua 1050 20190619_092822_009812","quechua","quechua 1050",23208250,127.506382428662,375,0.650564286467672,0.706651506537806,1694.34,976.188553639331,394.176208891235,582.012344748096,1018.83582089552,1046.09296482412,1428.68468468468,1297.3600973236,264715.349067681,129164.585869249,122995.572695055,165421.69271703,507,259.821399717773,222,123.473333836028,172,86.0900757273814,203,103,"2019-06-17","2014-08-02",58,0,"20190619_092822_009812.its",NA,44.8288862796635,193.586332446436,3.50010268761209
+"quechua 1050 20190619_092822_009812","quechua","quechua 1050",23208250,127.506382428662,375,0.650564286467672,0.706651506537806,1694.34,976.188553639331,394.176208891235,582.012344748096,1018.83582089552,1046.09296482412,1428.68468468468,1297.3600973236,264715.349067681,129164.585869249,122995.572695055,165421.69271703,507,259.821399717773,222,123.473333836028,172,86.0900757273814,203,103,"2019-06-17","2014-08-02",58,0,"20190619_092822_009812.its",NA,44.8288862796635,193.586332446436,3.50010268761208
 "quechua 1071 20190619_190755_009144","quechua","quechua 1071",53749312,112.321437714403,492,0.844629958863252,0.845499328257949,2463.38,754.514067082384,265.469072422732,489.044994659653,1023.94866732478,1029.65277777778,1708.08196721311,1208.2587954681,138946.373862423,69515.3828201559,69785.9723302133,135713.365038049,508,135.696620637674,171,67.5134223113405,234,40.8563369146009,288,96,"2019-06-18","2012-12-08",78,0,"20190619_190755_009144.its",NA,33.3548455466742,129.467703698235,5.20587607497442
 "quechua 1072 20190619_191256_009816","quechua","quechua 1072",45202625,67.6951836314816,257,0.484197466668491,0.585291887793783,1813.92,544.058226706967,219.960765552886,324.097461154081,1074.59570957096,1217.20491803279,1895.82716049383,1306.37647058824,103725.746015856,118266.671459899,61149.4575812799,88435.3950683174,331,96.525367719242,364,97.162498859303,72,32.2547639655883,266,59,"2019-06-18","2017-10-19",19,0,"20190619_191256_009816.its",90.168,12.8222641937277,64.3502451461613,0.173844582255523
 "quechua 1071 20190620_182729_009107","quechua","quechua 1071",39971250,237.320574162679,372,0.75334841916427,0.79126664602044,2372.39,1342.57967914438,322.094005066141,1020.48567407824,1077.71994627267,1062.82282282282,1357.87175989086,1193.77229601518,289058.260624824,191254.264002252,89643.2310723332,283306.726709823,430,268.21277793414,378,179.949338587109,137,66.0174500422178,443,106,"2019-06-19","2012-12-08",78,-35893625,"20190620_182729_009107_1.its",NA,64.6664790318041,240.743034055728,5.20587607497442

input/el1000-metrics

@@ -1 +1 @@
-Subproject commit 88f47a72ceb47aaba075131383f29f0200c1c8fa
+Subproject commit c61d982bf9c7b88394959b6fa1efb3aba58aeb0f

input/laac-metrics

@@ -1 +1 @@
-Subproject commit b84fc00bbc9fd111d08949de4fb231df1c4cc314
+Subproject commit 431b54f0e59b56290fdabe59a5ec626545733be6