cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2023-09.2899002/2450365
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899003/2450366
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899004/2450367
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899005/2450368
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899008/2450369
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899014/2450370
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899017/2450371
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899019/2450372
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899020/2450373
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899021/2450374
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899022/2450375
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899023/2450376
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899024/2450377
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.4wjksc
title: Occurrence Download

description: A dataset containing 794 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trichechus Linnaeus, 1758"
 ]
}

 The dataset includes 794 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038775-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2899025/2450378
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899026/2450379
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899027/2450380
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899029/2450381
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899030/2450382
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899031/2450383
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899032/2450384
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899033/2450385
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.wubu22
title: Occurrence Download

description: A dataset containing 330 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erysiphe euonymi-japonici U.Braun & S.Takam."
 ]
}

 The dataset includes 330 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038776-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2899034/2450386
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.h3zxbh
title: Occurrence Download

description: A dataset containing 408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dugong dugon (Müller, 1776)"
 ]
}

 The dataset includes 408 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038777-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2899035/2450387
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899036/2450388
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899037/2450389
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899038/2450390
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899040/2450391
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899043/2450392
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899045/2450393
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899046/2450394
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899047/2450395
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899049/2450396
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899054/2450397
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899059/2450398
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899060/2450399
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899061/2450400
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.5vfnbc
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lycoriella ingenua (Dufour, 1839)",
 "Year 1981-2010"
 ]
}

 The dataset includes 88 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038778-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2899062/2450401
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899063/2450402
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899064/2450403
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.wmsmgb
title: Occurrence Download

description: A dataset containing 766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trichechus manatus Linnaeus, 1758"
 ]
}

 The dataset includes 766 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038779-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2899065/2450404
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899067/2450405
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899069/2450406
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899070/2450407
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899072/2450408
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899073/2450409
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899075/2450410
title: Data for EMSL Project 51287 from September 2023
DOI: 10.5281/zenodo.12754454
title: Reference files and a small demo file for MisMatchFinder

description: This Zenodo repository contains the reference files and a small demo file for running MisMatchFinder. 

MisMatchFinder is a fast computational tool for detecting variants and infering mutational signatures from plasma low-coverage, next generation sequencing data of cancer patients without using sequencing from matched normal tissues. 

MisMatchFinder is developed by the Molecular Biomarkers and Translational Genomics Lab in Peter MacCallum Cancer Centre (Australia). The tool and instructions are available at the following Bitbucket repository.

To run the tool, it is highly recommanded to activate the germline filter to filter out common germline variants and use a whitelist which helps to only detect variants in high mappability regions of the human genome. 

For example: 

$ mismatchfinder --germline_file /path/to/echtvarfile/gnomad.v3.1.2.echtvar.v2.zip --whitelist_bed /path/to/whitelist.bed -o /path/to/outputfolder/ --strict_overlaps --only_overlaps /path/to/plasma_DNA_demo.bam

The files included in this dataset are described below:

gnomad.v3.1.2.echtvar.v2.zip: the pre-built gnomad data used for the MisMatchFinder germline filter.

GCA_000001405.15_GRCh38_full_analysis_set.100mer.highMappability.bed: the high mappability regions file for the GRCh38 human genome, used as the MisMatchFinder whitelist. 

Note, the plasma_DNA_demo.bam is simulated human plasma sequencing data of chromosome 19. This file and the corresponding MisMatchFinder output (plasma_DNA_demo_bamsites.vcf.gz) should only be used for the sanity testing of MisMatchFinder.
DOI: 10.5281/zenodo.12754453
title: Reference files and small demo files for MisMatchFinder

description: This Zenodo repository contains the reference files and small demo files for running MisMatchFinder. 

MisMatchFinder is a fast computational tool for detecting variants and infering mutational signatures from plasma low-coverage, next generation sequencing data of cancer patients without using sequencing from matched normal tissues. 

MisMatchFinder is developed by the Molecular Biomarkers and Translational Genomics Lab in Peter MacCallum Cancer Centre (Australia). The tool and instructions are available at the following Bitbucket repository.

To run the tool, it is highly recommanded to activate the germline filter to filter out common germline variants and use a whitelist which helps to only detect variants in high mappability regions of the human genome. 

For example: 

$ mismatchfinder --germline_file /path/to/echtvarfile/gnomad.v3.1.2.echtvar.v2.zip --whitelist_bed /path/to/whitelist.bed -o /path/to/outputfolder/ --strict_overlaps --only_overlaps /path/to/plasma_DNA_demo.bam

The files included in this dataset are described below:

gnomad.v3.1.2.echtvar.v2.zip: the pre-built gnomad data used for the MisMatchFinder germline filter.

GCA_000001405.15_GRCh38_full_analysis_set.100mer.highMappability.bed: the high mappability regions file for the GRCh38 human genome, used as the MisMatchFinder whitelist. 

Note, the plasma_DNA_demo.bam is simulated human plasma sequencing data of chromosome 19. This file and the corresponding MisMatchFinder output (plasma_DNA_demo_bamsites.vcf.gz) should only be used for the sanity testing of MisMatchFinder. 

clean_10x_rmd.bam and clean_3x_rmd.bam are two bam files which used to assess the effectiveness of MisMatchFinder quality filters. These data are computationally simuated by ART (Weichun Huang, Bioinformatics, 2012), which are supposed to contain sequencing errors similar to Illumina platforms. These data can be used to understand how high quality filters, such as applying high qulity base & mapping qualites and selecting variants only from overlapped regions of reads, can help to reduce the errors in input data (similar to Fig 1b in MisMatchFinder manuscript).
DOI: 10.5281/zenodo.13845728
title: Reference files and small demo files for MisMatchFinder

description: This Zenodo repository contains the reference files and small demo files for running MisMatchFinder. 

MisMatchFinder is a fast computational tool for detecting variants and infering mutational signatures from plasma low-coverage, next generation sequencing data of cancer patients without using sequencing from matched normal tissues. 

MisMatchFinder is developed by the Molecular Biomarkers and Translational Genomics Lab in Peter MacCallum Cancer Centre (Australia). The tool and instructions are available at the following Bitbucket repository.

To run the tool, it is highly recommanded to activate the germline filter to filter out common germline variants and use a whitelist which helps to only detect variants in high mappability regions of the human genome. 

For example: 

$ mismatchfinder --germline_file /path/to/echtvarfile/gnomad.v3.1.2.echtvar.v2.zip --whitelist_bed /path/to/whitelist.bed -o /path/to/outputfolder/ --strict_overlaps --only_overlaps /path/to/plasma_DNA_demo.bam

The files included in this dataset are described below:

gnomad.v3.1.2.echtvar.v2.zip: the pre-built gnomad data used for the MisMatchFinder germline filter.

GCA_000001405.15_GRCh38_full_analysis_set.100mer.highMappability.bed: the high mappability regions file for the GRCh38 human genome, used as the MisMatchFinder whitelist. 

Note, the plasma_DNA_demo.bam is simulated human plasma sequencing data of chromosome 19. This file and the corresponding MisMatchFinder output (plasma_DNA_demo_bamsites.vcf.gz) should only be used for the sanity testing of MisMatchFinder. 

clean_10x_rmd.bam and clean_3x_rmd.bam are two bam files which used to assess the effectiveness of MisMatchFinder quality filters. These data are computationally simuated by ART (Weichun Huang, Bioinformatics, 2012), which are supposed to contain sequencing errors similar to Illumina platforms. These data can be used to understand how high quality filters, such as applying high qulity base & mapping qualites and selecting variants only from overlapped regions of reads, can help to reduce the errors in input data (similar to Fig 1b in MisMatchFinder manuscript).
DOI: 10.25582/data.2023-09.2899076/2450411
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899078/2450412
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899080/2450413
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899081/2450414
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899082/2450415
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899083/2450416
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.m93ywf
title: Occurrence Download

description: A dataset containing 560 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cristulariella depraedans (Cooke) Höhn."
 ]
}

 The dataset includes 560 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038780-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2899084/2450417
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899085/2450418
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899086/2450419
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899087/2450420
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899093/2450421
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.r5dtjc
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trichechus inunguis (Natterer, 1883)"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038781-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2899095/2450422
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899098/2450423
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899099/2450424
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899100/2450425
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899102/2450426
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899108/2450427
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899110/2450428
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899114/2450429
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899120/2450430
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899125/2450431
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899126/2450432
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899128/2450433
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.ra2afe
title: Occurrence Download

description: A dataset containing 436530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2022-2022"
 ]
}

 The dataset includes 436530 records from 207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038757-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2899131/2450434
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.p3ukj3
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trichechus senegalensis Link, 1795"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038782-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2899147/2450435
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899148/2450436
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899151/2450437
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899152/2450438
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899154/2450439
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899155/2450440
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899157/2450441
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899158/2450442
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899159/2450443
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899160/2450444
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.3gvaxg
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhabdocline laricis (Vuill.) J.K.Stone"
 ]
}

 The dataset includes 211 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038783-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2899161/2450445
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899163/2450446
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899167/2450447
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899171/2450448
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899177/2450449
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899179/2450450
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899185/2450451
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899187/2450452
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899189/2450453
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899190/2450454
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899191/2450455
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899195/2450456
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899196/2450457
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899198/2450458
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899199/2450459
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899200/2450460
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899203/2450461
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899207/2450462
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899209/2450463
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2899214/2450464
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.kenj47
title: Occurrence Download

description: A dataset listing the 31813 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1986-2024"
 ]
}

 The dataset's 31813 records were derived from 460 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038770-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92rt8a
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Barleria montana Wall. ex Nees"
 ]
}

 The dataset includes 41 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039004-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rq8b9k
title: Occurrence Download

description: A dataset containing 962 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Monodactylus argenteus (Linnaeus, 1758)",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 962 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026667-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3pypg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Justicia decurvata Hilsenb."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0168683-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4vcp3
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alpheus saxidomus Holthuis, 1980"
 ]
}

 The dataset includes 86 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049643-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.