cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr02958.v1
title: Women and Violence in Chicago, Illinois, 1994-1995
title: Version 1

description: The purpose of this study was to examine the impact of
domestic violence on women's labor force participation. The hypothesis
was that women who had experienced domestic violence would have lower
rates of labor force participation than women with no history of
domestic violence. The University of Illinois Survey Research
Laboratory conducted door-to-door interviews with women in the
Humboldt Park, Montclare, and Belmont-Cragin community areas of
Chicago. Data collection for Part 1, Humboldt Park Data, ran from
September 16, 1994, through April 9, 1995. Interviews were completed
with 824 adult women residing in the Humboldt Park neighborhood. Data
collection for Part 2, Montclare and Belmont-Cragin Data, ran from
April 10, 1995, through October 15, 1995. Interviews were completed
with 149 adult women residing in the Montclare and Belmont-Cragin
community areas. Demographic information was collected on respondent's
race, marital status, income, and education, employment histories of
the respondent, respondent's husband or boyfriend, and parents, and
citizenship. Other variables include economic and social problems of
the respondent's neighborhood, respondent's relationships with men,
experiences as a victim of physical and sexual abuse by a husband or
boyfriend, if the respondent had physical and mental problems during
the past 12 months, if the respondent smoked or used alcohol or drugs,
the number of days domestic problems prevented the respondent from
working or going to school, whether respondent was emotionally,
physically, or sexually abused as a child or teenager, in what ways
the respondent's past experiences had affected her education and
employment, respondent's current work experience and earnings, and
whether the respondent received any type of public assistance.
description: To minimize costs and interviewer travel time, the primary
 sampling unit selected was the block, and each housing unit on the
 sampled blocks was included. The 1990 Census Tract/Block Numbering
 Area Outline Map and 1990 Census of Population and Housing data were
 used to construct a sampling frame of the total number of housing
 units by block and census tract in each neighborhood. A random number
 generator was used to take a simple random sample of blocks from the
sampling frame.
description: Datasets: 
DS0: Study-Level Files
DS1: Humboldt Park Data
DS2: Montclare and Belmont-Cragin Data
description: Women 18 years of age or older in the Humboldt Park,
Montclare, and Belmont-Cragin communities of Chicago.
DOI: 10.15468/dl.ac564m
title: Occurrence Download

description: A dataset containing 3894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lippia alba (Mill.) N.E.Br. ex Britton & P.Wilson)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 3894 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009189-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr04179.v1
title: Uniform Crime Reports [United States]: Supplementary Homicide Reports, 1976-2002
title: Version 1

description: These data provide incident-level information on criminal
homicides including location, circumstances, and method of offense, as
well as demographic characteristics of victims and perpetrators and
the relationship between the two. The data were provided monthly to
the Federal Bureau of Investigation (FBI) by local law enforcement
agencies participating in the FBI's Uniform Crime Reporting Program.
description: inap.
description: Datasets: 
DS0: Study-Level Files
DS1: Offender Data
DS2: Victim Data
description: Homicides in the United States from January 1976 through
December 2002.
DOI: 10.15468/dl.zgfzph
title: Occurrence Download

description: A dataset containing 368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Lychnothamnus barbatus (L.Meyen) Leonh., 1863"
 ]
}

 The dataset includes 368 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009191-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15169901
title: REGENIE results of brain IDP GWAS (Part 12)

description: ❯ find . -maxdepth 1 -type f | grep -E '(n1|sn).*swi' | xargs md5sum89d7e42369d96b651589dfd9e83b3b75  ./dcf_rickidps_single_20241220_wbr_n1_l_swi_idps_MNI2006a_50th.regenie.gz5cb354bf4c595c135b69b13a9af58ba4  ./dcf_rickidps_single_20241220_wbr_n1_r_swi_idps_MNI2006a_50th.regenie.gz1b11d3cba0c56c267cc896d5377f8251  ./dcf_rickidps_single_20241220_wbr_sn_l_swi_idps_MNI2006a_50th.regenie.gzeeb26c62affd1244129d90411ccaeae0  ./dcf_rickidps_single_20241220_wbr_sn_r_swi_idps_MNI2006a_50th.regenie.gz

❯ md5sum dcf_rickidps_single_20241220_wbr_xage_part2.zipf0ecba1fe03049ec0799f9594d9a278c  dcf_rickidps_single_20241220_wbr_xage_part2.zip
DOI: 10.5281/zenodo.15169902
title: REGENIE results of brain IDP GWAS (Part 12)

description: ❯ find . -maxdepth 1 -type f | grep -E '(n1|sn).*swi' | xargs md5sum89d7e42369d96b651589dfd9e83b3b75  ./dcf_rickidps_single_20241220_wbr_n1_l_swi_idps_MNI2006a_50th.regenie.gz5cb354bf4c595c135b69b13a9af58ba4  ./dcf_rickidps_single_20241220_wbr_n1_r_swi_idps_MNI2006a_50th.regenie.gz1b11d3cba0c56c267cc896d5377f8251  ./dcf_rickidps_single_20241220_wbr_sn_l_swi_idps_MNI2006a_50th.regenie.gzeeb26c62affd1244129d90411ccaeae0  ./dcf_rickidps_single_20241220_wbr_sn_r_swi_idps_MNI2006a_50th.regenie.gz

❯ md5sum dcf_rickidps_single_20241220_wbr_xage_part2.zipf0ecba1fe03049ec0799f9594d9a278c  dcf_rickidps_single_20241220_wbr_xage_part2.zip
DOI: 10.6084/m9.figshare.28745597
title: Is fragmentation of the health system in Mexico a threat to the HIV continuum of care

description: Database associated to manuscript Is fragmentation of the health system in Mexico a threat to the HIV continuum of care
DOI: 10.15468/dl.x4wbrc
title: Occurrence Download

description: A dataset containing 77212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acanthurus coeruleus Bloch & Schneider, 1801",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Material sample)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 77212 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009179-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9gcg8r
title: Occurrence Download

description: A dataset containing 4215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Liriope muscari (Decne.) L.H.Bailey)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 4215 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009192-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3rwp5
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alcidodes karelini (Boheman)"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008984-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6szke
title: Occurrence Download

description: A dataset containing 4262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (eButterfly Surveys, Xerces Society - Bumble Bee Watch, Pl@ntNet automatically identified occurrences, Great Backyard Bird Count, International Barcode of Life project (iBOL), INSDC Sequences, Royal Ontario Museum - Ornithology, Centre for Biodiversity Genomics - Canadian Specimens)",
 "GadmGid is CAN.9.15.2_1",
 "OccurrenceStatus is Present",
 "Year 1000-2024"
 ]
}

 The dataset includes 4262 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009193-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xea7mx
title: Occurrence Download

description: A dataset containing 68754 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clinopodium acinos (L.) Kuntze)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 68754 records from 837 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009186-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0195878.10fu
title: SH0195878.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0195879.10fu
title: SH0195879.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0195880.10fu
title: SH0195880.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0195881.10fu
title: SH0195881.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0195882.10fu
title: SH0195882.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0195883.10fu
title: SH0195883.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0195884.10fu
title: SH0195884.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0195885.10fu
title: SH0195885.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.4kcjg9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((79.784001 18.04212, 79.710131 18.036544, 79.638093 18.019955, 79.56967299999999 17.992765, 79.50656600000001 17.955647, 79.450332 17.909522, 79.40235800000001 17.855531, 79.363822 17.79501, 79.335666 17.729454, 79.318575 17.660484, 79.312957 17.589799, 79.31893599999999 17.519141, 79.336354 17.450249, 79.364768 17.384815, 79.403471 17.324448, 79.451503 17.270627, 79.50767999999999 17.224671, 79.57062000000001 17.187707, 79.63878099999999 17.160639, 79.710493 17.144128, 79.784001 17.13858, 79.85751 17.144128, 79.929222 17.160639, 79.997383 17.187707, 80.060323 17.224671, 80.1165 17.270627, 80.16453199999999 17.324448, 80.20323399999999 17.384815, 80.231649 17.450249, 80.249066 17.519141, 80.25504599999999 17.589799, 80.24942799999999 17.660484, 80.232337 17.729454, 80.20418100000001 17.79501, 80.165645 17.855531, 80.11767 17.909522, 80.061436 17.955647, 79.99833 17.992765, 79.92991000000001 18.019955, 79.857872 18.036544, 79.784001 18.04212))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002063-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh0195886.10fu
title: SH0195886.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0195887.10fu
title: SH0195887.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.