cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.vb76b45/3
title: Database S3

description: Gene and multi-locus trees
DOI: 10.5061/dryad.vb76b45/4
title: DatabaseS2

description: DNA sequence alignments
DOI: 10.17632/wm8tcbn7pw.1
title: Data for: An anti-predation device to facilitate and secure the crossing of small mammals in motorway wildlife underpasses. (II) Validation with the European hamster under semi-natural conditions

description: Increased predation risk or avoidance of wildlife underpasses by small mammals have been highlighted. To overcome this problem and to provide these species with an opportunity to safely cross road-crossing structures, we previously designed an Anti-Predation Tube (APT). The features (shape and size) of this device have been tested under laboratory conditions and its use by captive European hamsters (Cricetus cricetus) has been validated. In this study, we investigate both the enrichment and anti-predation functions of the APT for hamsters in an actual underpass. To do so, we built two small enclosures of 6 m2 at both extremities of an underpass and cross-manipulated the presence of the APT and a predator of hamsters, the European ferret. Our results show that the APT does not act as an enrichment, as it did not increase the crossing frequency of hamsters in the absence of the predator. However, it acts as an anti-predation device, since, in the presence of the ferret, male hamsters crossed more than 10 times as much when the APT was present inside the underpass than when it was not. We therefore recommend implementing the APT as a conservation measure to upgrade wildlife underpasses while conducting surveys to investigate how the presence of the APT influences the crossing of other small mammals and wildlife.
DOI: 10.5061/dryad.026cj63/1
title: Radiomic feature data from Site 1

description: Radiomic features extracted from S1 (used for training) on a pixel-wise basis from prostate T2w MRIs, together with associated pixel-wise labels and feature names.
DOI: 10.5061/dryad.026cj63/2
title: Radiomic feature data from Site 2

description: Radiomic features extracted from S2 (used for multi-site validation) on a pixel-wise basis from prostate T2w MRIs, together with associated pixel-wise labels and feature names.
DOI: 10.5061/dryad.026cj63/3
title: Radiomic feature data from Site 3

description: Radiomic features extracted from S3 (used for multi-site validation) on a pixel-wise basis from prostate T2w MRIs, together with associated pixel-wise labels and feature names.
DOI: 10.5061/dryad.15d8dq8/1
title: Biallelic uSNPs input file for SNAPP

description: Biallelic uSNPs input file for SNAPP
DOI: 10.5061/dryad.15d8dq8/2
title: Concatenated ddRAD loci input file for maximum likelihood

description: Concatenated ddRAD loci input file for maximum likelihood
DOI: 10.5061/dryad.15d8dq8/4
title: uSNPs input file for SVDquartets

description: uSNPs input file for SVDquartets
DOI: 10.5061/dryad.16qk7vf/1
title: Gahr et al. Data Fig. 2a

description: MHC measurements used for Fig. 2a
DOI: 10.5061/dryad.16qk7vf/2
title: Gahr et al. Data Figure 2b

description: Mate choice results used to create Fig. 2b
DOI: 10.5061/dryad.30nm60b/1
title: Data for age and diet maternal effects_Goos et al.

description: Life history data associated with "Maternal diet and age alter direct and indirect relationships between life history traits across multiple generations" by Goos et al.
DOI: 10.5061/dryad.64s8h65/1
title: Waraniak_Rana_pipiens_microsatellite_genotypes_genepop

description: Microsatellite genotypes of the northern leopard frogs sampled in Waraniak et al. in GenePop format.
DOI: 10.5061/dryad.64s8h65/2
title: Waraniak_Rana_pipiens_microsatellite_genotypes_matrix

description: Microsatellite genotype data for northern leopard frogs sampled in Waraniak et al. in a data matrix format used in the R code.
DOI: 10.5061/dryad.64s8h65/3
title: Waraniak_Rana_pipiens_sample_site_geographic_coordinates

description: Latitude and longitude coordinates for the sample sites from Waraniak et al.
DOI: 10.5061/dryad.64s8h65/4
title: Waraniak_Rana_pipiens_sample_site_landuse

description: Land use data from the area surrounding each of the sampling sites from Waraniak et al.
DOI: 10.5061/dryad.64s8h65/5
title: Waraniak_sample_site_pairwise_geographic_distance

description: Pairwise geographic distances between each of the sample sites from Waraniak et al.
DOI: 10.5061/dryad.6d006j3/1
title: RAD-sequencing read data

description: This file contains individual files with forward (*.1.fq.gz) and reverse (*.2.fq.gz) RAD-sequencing read data for each individual. The gzip.tar archive was generated using tar.
DOI: 10.5061/dryad.6d006j3/2
title: Oenanthe melanoleuca reference genome assembly

description: This file contains the Oenanthe melanoleuca reference genome assembly. This reference genome was sequenced from a male Oenanthe melanoleuca from, Crete (Greece) collected by the Peabody Museum of Natural History of Yale University (collection number YPM 101348). Scaffolds are sorted by decreasing lengths.
DOI: 10.5061/dryad.ct740rf/1
title: Effects paper reference list

description: List of references accessed in order to provide data for the review
DOI: 10.5061/dryad.ct740rf/2
title: Effects review database

description: Database used to support generalised linear modelling
DOI: 10.5061/dryad.d83h613/1
title: Data

description: Tammar wallaby sperm sex ratio and offspring sex ratio data
DOI: 10.5061/dryad.dg124q0/1
title: A. nens

description: The file contain data on reproduction for Acolyta nens
DOI: 10.5061/dryad.dg124q0/2
title: G. agilis

description: The file contain data on reproduction for Gelis agilis
DOI: 10.5061/dryad.dg124q0/3
title: C. glomerata

description: The file contain data for Cotesia glomerata
DOI: 10.5061/dryad.dg124q0/4
title: Longevity

description: The file contain data for longevity of two hyperparasitoids
DOI: 10.5061/dryad.fk01r01/10
title: tms_task_performance

description: The file "tms_task_performance.zip" contains the data for TMS effects on IPS and TPJ during response inhibition for each subject (Dataset 1-TMS and Dataset 2-TMS). The following four Excel files are contained: "performance_dataset1-tms_ips.xlsx", "performance_dataset1-tms_tpj.xlsx", "performance_dataset2-tms_ips.xlsx", and "performance_dataset2-tms_tpj.xlsx". The behavioral data (Stim and No-stim) for each time window are contained in each file.
DOI: 10.5061/dryad.fk01r01/11
title: README
DOI: 10.5061/dryad.fk01r01/5
title: fmri_task_activation_voxelwise

description: The file "fmri_task_activation_voxelwise.zip" contains the data for voxel-wise activation during the stop-signal task for each subject (contrast: Stop success minus Go success; Dataset 1-fMRI). In each subject folder, the files of con and T maps in MNI space are included.
DOI: 10.5061/dryad.fk01r01/6
title: parcellation

description: The file "parcellation.zip" contains the data of cortical parcellation for each subject. The files in each subject folder can be viewed by using wb_view in Connectome Workbench (https://www.humanconnectome.org/software/connectome-workbench). The parcels and borders are displayed in each subject's original space. In the file "parcel_center_coords.txt" within each subject folder, normalized MNI coordinates of each parcel center are listed. In the file "individual_parcel_numbers.xlsx", the parcel numbers of IFC, preSMA, IPS and TPJ for each subject are listed.
DOI: 10.5061/dryad.fk01r01/7
title: fmri_task_activation_parcelwise

description: The file "fmri_task_activation_parcelwise.zip" contains the data of parcel-based activation during the stop-signal task for each subject (contrast: Stop success minus Go success; Dataset 1-fMRI). The files in each subject folder can be viewed by using wb_view. The parcel-based task activation maps are displayed in each subject's original space.
DOI: 10.5061/dryad.fk01r01/9
title: fmri_rsfc_parcelwise

description: The file "fmri_rsfc_parcelwise.zip" contains the data of parcel-based resting-state functional connectivity (RSFC) for each subject (Dataset 1-fMRI). Each subject folder contains the files of the parcel-based RSFC maps with the seed of IFC or preSMA. The files can be viewed by using wb_view. The RSFC maps are displayed in each subject's original space. The mat file ("sXX_R_RSFC_z.mat") in each subject folder contains RSFC z-values (parcel×parcel) for each subject.
DOI: 10.5061/dryad.fq3d127/1
title: Monthly variables related to MPA use

description: This data file has variables averaged per month for each fish. Variables include zone use, home range size, season, standardized length and capture location.
DOI: 10.5061/dryad.fq3d127/2
title: Zone use per fish

description: Zone use per fish, with zones being defined in the paper. Also contains number of months of presence per fish, capture location and standardized length.
DOI: 10.5061/dryad.fq3d127/3
title: Excursions from reserve

description: Direction and number of excursions between the different zones, as described in the paper. Also includes average number of excursions per day, length, weight and gender.
DOI: 10.5061/dryad.fq3d127/4
title: Excursions day and night

description: Gives number of excursions from different zones, divided between day and night. Definition of zones are given in the paper.
DOI: 10.5061/dryad.ft4sn88/24
title: Dryad_Supplementary_File_24_sampling_fractions_used

description: Dryad_Supplementary_File_24_sampling_fractions_used
DOI: 10.5061/dryad.ft4sn88/25
title: Dryad_Supplementary_File_25_BAMM_mcmc_outfile

description: Dryad_Supplementary_File_25_BAMM_mcmc_outfile
DOI: 10.5061/dryad.ft4sn88/26
title: Dryad_Supplementary_File_26_BAMM_run_info_outfile

description: Dryad_Supplementary_File_26_BAMM_run_info_outfile
DOI: 10.5061/dryad.ft4sn88/27
title: Dryad_Supplementary_File_27_Rsave_file_containing_results_of_correlated_trait_evolution

description: Dryad_Supplementary_File_27_Rsave_file_containing_results_of_correlated_trait_evolution
DOI: 10.5061/dryad.gh4p57r/1
title: Supplementary information for "An exceptionally preserved association of complete dinosaur skeletons reveals the oldest long-necked sauropodomorphs"

description: Outline of contents
(a) Supplementary figure 1
(b) Supplementary figure 2
(c) Comparison between Macrocollum itaquii and Unaysaurus tolentinoi
(d) Details of the phylogenetic analysis
(e)  List of characters
(f) Data matrix
(g) References for supplementary information
DOI: 10.5061/dryad.ht3564h/1
title: Behavioral and two-photon imaging data for Krumin et al. eLife (2018)
DOI: 10.5061/dryad.kd1qt0p.1/10.1
title: Figure 4 - source data 3

description: This zip archive contains the original z-stacks used for the PEG 100kDa data in Figure 4, panel D. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS290_s9_t1 = 34.4 mg/mL PEG 100 kDa
A7PS290_s10_t1 = 17.2 mg/mL PEG 100 kDa
A7PS290_s11_t1 = 8.59 mg/mL PEG 100 kDa
A7PS290_s12_t1 = 4.29 mg/mL PEG 100 kDa
A7PS290_s13_t1 = 2.15 mg/mL PEG 100 kDa
A7PS290_s14_t1 = 1.07 mg/mL PEG 100 kDa
A7PS290_s15_t1 = 0.536 mg/mL PEG 100 kDa
A7PS290_s16_t1 = 0.268 mg/mL PEG 100 kDa

Additionally, this file contains .csv files of all the statistics on particle sizes collected by the ImageJ macro. These are labeled in the format “zstackname_automated_counting_statistics”, where “zstackname” is the title of the associated z-stack. It also contains a .csv file of the particle # IDs of the singlet particles that were used to get the average singlet size, which was then used to normalize the ECDFs (as explained in detail in Materials and Methods). These are labeled in the format “zstackname_singlet_IDs”, where “zstackname” is the title of the associated z-stack. These .csv files were used in combination with the Jupyter notebooks provided as additional files to this paper to generate Figure 4, panel D.
DOI: 10.5061/dryad.kd1qt0p.1/11.1
title: Figure 4 - source data 4

description: This zip archive contains the original z-stacks used for Figure 4, panel D. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS290_s17_t1 = 212 mg/mL PEG 3.35 kDa
A7PS290_s18_t1 = 106 mg/mL PEG 3.35 kDa
A7PS290_s19_t1 = 53.0 mg/mL PEG 3.35 kDa
A7PS290_s20_t1 = 26.5 mg/mL PEG 3.35 kDa
A7PS290_s21_t1 = 13.2 mg/mL PEG 3.35 kDa
A7PS290_s22_t1 = 6.62 mg/mL PEG 3.35 kDa
A7PS290_s23_t1 = 3.31 mg/mL PEG 3.35 kDa
A7PS290_s24_t1 = 1.66 mg/mL PEG 3.35 kDa
A7PS321_s1_t1 = 0.815 mg/mL PEG 3.35 kDa
A7PS321_s2_t1 = 0.407 mg/mL PEG 3.35 kDa
A7PS321_s3_t1 = 0.204 mg/mL PEG 3.35 kDa
A7PS321_s4_t1 = 0.102 mg/mL PEG 3.35 kDa
A7PS321_s5_t1 = 0.0509 mg/mL PEG 3.35 kDa

Additionally, this file contains .csv files of all the statistics on particle sizes collected by the ImageJ macro. These are labeled in the format “zstackname_automated_counting_statistics”, where “zstackname” is the title of the associated z-stack. It also contains a .csv file of the particle # IDs of the singlet particles that were used to get the average singlet size, which was then used to normalize the ECDFs (as explained in detail in Materials and Methods). These are labeled in the format “zstackname_singlet_IDs”, where “zstackname” is the title of the associated z-stack. These .csv files were used in combination with the Jupyter notebooks (provided with this submission) to generate Figure 4, panel D.
DOI: 10.5061/dryad.kd1qt0p.1/12.1
title: Figure 5 - source data 1

description: This zip archive contains the original z-stacks used for Figure 5, panels A and C. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS303_s1_t1 = WT USI, Dilution factor = 1
A7PS303_s2_t1 = WT USI, Dilution factor = 1/2
A7PS303_s3_t1 = WT USI, Dilution factor = 1/4
A7PS303_s4_t1 = WT USI, Dilution factor = 1/8
A7PS303_s17_t1 = MUC2KO USI, Dilution factor = 1
A7PS303_s18_t1 = MUC2KO USI, Dilution factor = 1/2
A7PS303_s19_t1 = MUC2KO USI, Dilution factor = 1/4
A7PS303_s20_t1 = MUC2KO USI, Dilution factor = 1/8
A7PS284_s13_t1 = HBSS

Additionally, this file contains .csv files of all the statistics on particle sizes collected by the ImageJ macro. These are labeled in the format “zstackname_automated_counting_statistics”, where “zstackname” is the title of the associated z-stack. It also contains a .csv file of the particle # IDs of the singlet particles that were used to get the average singlet size, which was then used to normalize the ECDFs (as explained in detail in Materials and Methods). These are labeled in the format “zstackname_singlet_IDs”, where “zstackname” is the title of the associated z-stack. These .csv files were used in combination with the Jupyter notebooks (provided with this submission) to generate Figure 5, panels A and C.
DOI: 10.5061/dryad.kd1qt0p.1/14.1
title: Figure 6 - source data 1

description: This zip archive contains the original z-stacks used for Figure 6, panels A and C. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS309_s1_t1 = WT USI, Dilution factor = 1
A7PS309_s2_t1 = WT USI, Dilution factor = 1/2
A7PS309_s3_t1 = WT USI, Dilution factor = 1/4
A7PS309_s4_t1 = WT USI, Dilution factor = 1/8
A7PS309_s17_t1 = Rag1KO USI, Dilution factor = 1
A7PS309_s18_t1 = Rag1KO USI, Dilution factor = 1/2
A7PS309_s19_t1 = Rag1KO USI, Dilution factor = 1/4
A7PS309_s20_t1 = Rag1KO USI, Dilution factor = 1/8
A7PS284_s13_t1 = HBSS

Additionally, this file contains .csv files of all the statistics on particle sizes collected by the ImageJ macro. These are labeled in the format “zstackname_automated_counting_statistics”, where “zstackname” is the title of the associated z-stack. It also contains a .csv file of the particle # IDs of the singlet particles that were used to get the average singlet size, which was then used to normalize the ECDFs (as explained in detail in Materials and Methods). These are labeled in the format “zstackname_singlet_IDs”, where “zstackname” is the title of the associated z-stack. These .csv files were used in combination with the Jupyter notebooks (provided with this submission) to generate Figure 6, panels A and C.
DOI: 10.5061/dryad.kd1qt0p.1/15.1
title: Figure 6 - source data 2

description: This zip archive contains the original z-stacks used for Figure 6, panels B and D. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS309_s9_t1 = WT LSI, Dilution factor = 1
A7PS309_s10_t1 = WT LSI, Dilution factor = 1/2
A7PS309_s11_t1 = WT LSI, Dilution factor = 1/4
A7PS309_s12_t1 = WT LSI, Dilution factor = 1/8
A7PS309_s25_t1 = Rag1KO LSI, Dilution factor = 1
A7PS309_s26_t1 = Rag1KO LSI, Dilution factor = 1/2
A7PS309_s27_t1 = Rag1KO LSI, Dilution factor = 1/4
A7PS309_s28_t1 = Rag1KO LSI, Dilution factor = 1/8
A7PS284_s13_t1 = HBSS

Additionally, this file contains .csv files of all the statistics on particle sizes collected by the ImageJ macro. These are labeled in the format “zstackname_automated_counting_statistics”, where “zstackname” is the title of the associated z-stack. It also contains a .csv file of the particle # IDs of the singlet particles that were used to get the average singlet size, which was then used to normalize the ECDFs (as explained in detail in Materials and Methods). These are labeled in the format “zstackname_singlet_IDs”, where “zstackname” is the title of the associated z-stack. These .csv files were used in combination with the Jupyter notebooks (provided with this submission) to generate Figure 6, panels B and D.
DOI: 10.5061/dryad.kd1qt0p.1/17.1
title: Figure 7 - source data 2

description: This zip archive contains the original z-stacks used for Figure 7, panel E. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS313_s17_t1 = 30-µm-filtered Pectin USI, Dilution factor = 1
A7PS313_s18_t1 = 30-µm-filtered Pectin USI, Dilution factor = 1/2
A7PS313_s19_t1 = 30-µm-filtered Pectin USI, Dilution factor = 1/4
A7PS313_s20_t1 = 30-µm-filtered Pectin USI, Dilution factor = 1/8
A7PS313_s21_t1 = 30-µm-filtered Pectin USI, Dilution factor = 1/16
A7PS313_s22_t1 = 30-µm-filtered Pectin USI, Dilution factor = 1/32
A7PS313_s23_t1 = 30-µm-filtered Pectin USI, Dilution factor = 1/64
A7PS313_s24_t1 = 30-µm-filtered Pectin USI, Dilution factor = 1/128
A7PS314_s17_t1 = 30-µm-filtered Fibersol-2 USI, Dilution factor = 1
A7PS314_s18_t1 = 30-µm-filtered Fibersol-2 USI, Dilution factor = 1/2
A7PS314_s19_t1 = 30-µm-filtered Fibersol-2 USI, Dilution factor = 1/4
A7PS314_s20_t1 = 30-µm-filtered Fibersol-2 USI, Dilution factor = 1/8
A7PS314_s21_t1 = 30-µm-filtered Fibersol-2 USI, Dilution factor = 1/16
A7PS314_s22_t1 = 30-µm-filtered Fibersol-2 USI, Dilution factor = 1/32
A7PS314_s23_t1 = 30-µm-filtered Fibersol-2 USI, Dilution factor = 1/64
A7PS314_s24_t1 = 30-µm-filtered Fibersol-2 USI, Dilution factor = 1/128
A7PS284_s13_t1 = HBSS

Additionally, this file contains .csv files of all the statistics on particle sizes collected by the ImageJ macro. These are labeled in the format “zstackname_automated_counting_statistics”, where “zstackname” is the title of the associated z-stack. It also contains a .csv file of the particle # IDs of the singlet particles that were used to get the average singlet size, which was then used to normalize the ECDFs (as explained in detail in Materials and Methods). These are labeled in the format “zstackname_singlet_IDs”, where “zstackname” is the title of the associated z-stack. These .csv files were used in combination with the Jupyter notebooks (provided with this submission) to generate Figure 7, panel E.
DOI: 10.5061/dryad.kd1qt0p.1/18.1
title: Figure 7 - source data 3

description: This zip archive contains the original z-stacks used for Figure 7, panel F. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS313_s1_t1 = 0.45-µm-filtered Pectin USI, Dilution factor = 1
A7PS313_s2_t1 = 0.45-µm-filtered Pectin USI, Dilution factor = 1/2
A7PS313_s3_t1 = 0.45-µm-filtered Pectin USI, Dilution factor = 1/4
A7PS313_s4_t1 = 0.45-µm-filtered Pectin USI, Dilution factor = 1/8
A7PS313_s5_t1 = 0.45-µm-filtered Pectin USI, Dilution factor = 1/16
A7PS313_s6_t1 = 0.45-µm-filtered Pectin USI, Dilution factor = 1/32
A7PS313_s7_t1 = 0.45-µm-filtered Pectin USI, Dilution factor = 1/64
A7PS313_s8_t1 = 0.45-µm-filtered Pectin USI, Dilution factor = 1/128
A7PS314_s1_t1 = 0.45-µm-filtered Fibersol-2 USI, Dilution factor = 1
A7PS314_s2_t1 = 0.45-µm-filtered Fibersol-2 USI, Dilution factor = 1/2
A7PS314_s3_t1 = 0.45-µm-filtered Fibersol-2 USI, Dilution factor = 1/4
A7PS314_s4_t1 = 0.45-µm-filtered Fibersol-2 USI, Dilution factor = 1/8
A7PS314_s5_t1 = 0.45-µm-filtered Fibersol-2 USI, Dilution factor = 1/16
A7PS314_s6_t1 = 0.45-µm-filtered Fibersol-2 USI, Dilution factor = 1/32
A7PS314_s7_t1 = 0.45-µm-filtered Fibersol-2 USI, Dilution factor = 1/64
A7PS314_s8_t1 = 0.45-µm-filtered Fibersol-2 USI, Dilution factor = 1/128
A7PS284_s13_t1 = HBSS

Additionally, this file contains .csv files of all the statistics on particle sizes collected by the ImageJ macro. These are labeled in the format “zstackname_automated_counting_statistics”, where “zstackname” is the title of the associated z-stack. It also contains a .csv file of the particle # IDs of the singlet particles that were used to get the average singlet size, which was then used to normalize the ECDFs (as explained in detail in Materials and Methods). These are labeled in the format “zstackname_singlet_IDs”, where “zstackname” is the title of the associated z-stack. These .csv files were used in combination with the Jupyter notebooks (provided with this submission) to generate Figure 7, panel F.
DOI: 10.5061/dryad.kd1qt0p.1/6.1
title: Figure 3 - Source Data 1

description: This zip archive contains the original z-stacks used for Figure 3, panels B-C. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows (if multiple technical replicates were done it is indicated): A7PS263_s1_t1 = 30 µm-filtered, technical replicate #1; A7PS263_s2_t1 = 0.45 µm-filtered; A7PS263_s3_t1 = 100 kDa-filtered; A7PS263_s4_t1 = 30 kDa-filtered; A7PS263_s5_t1 = 3 kDa-filtered; A7PS284_s13_t1 = HBSS; A7PS285_s1_t1 = 30 µm-filtered, technical replicate #2; A7PS285_s2_t1 = 0.45 µm-filtered, technical replicate #2; A7PS285_s5_t1 = 30 µm-filtered, technical replicate #3; A7PS285_s6_t1 = 0.45 µm-filtered, technical replicate #3. 

Additionally, this file contains .csv files of all the statistics on particle sizes collected by the ImageJ macro. These are labeled in the format “zstackname_automated_counting_statistics”, where “zstackname” is the title of the associated z-stack. It also contains a .csv file of the particle # IDs of the singlet particles that were used to get the average singlet size, which was then used to normalize the ECDFs (as explained in detail in Materials and Methods). These are labeled in the format “zstackname_singlet_IDs”, where “zstackname” is the title of the associated z-stack. These .csv files were used in combination with the Jupyter notebooks (also provided with this submission) to generate Figure 3, panels B-C. If multiple technical replicates were performed on a sample, the resulting ECDFs were combined to create one master ECDF for that sample.
DOI: 10.5061/dryad.kd1qt0p.1/8.1
title: Figure 4 - source data 1

description: This zip archive contains the original z-stack used for Figure 4, panels A-C. It is provided as a TIF file. All imaging parameters are included in the image metadata.