cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.eg3xba
title: Occurrence Download

description: A dataset containing 2794 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((0.87363 40.84178,3.25091 41.86025,3.19292 42.50473,0.68809 42.74365,-0.73828 41.66996,0.87363 40.84178))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio inaequidens DC."
 ]
}

 The dataset includes 2794 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081053-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hipgn2
title: Occurrence Download

description: A dataset containing 31530 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CAS Mammalogy (MAM)"
 ]
}

 The dataset includes 31530 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045004-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6uugc
title: Occurrence Download

description: A dataset containing 79923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neophron percnopterus (Linnaeus, 1758)",
 "HasCoordinate is True",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2021",
 "Month is greater than or equal to January",
 "Month is less than or equal to December",
 "HasGeospatialIssue is False"
 ]
}

 The dataset includes 79923 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0345589-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.od7omw
title: Occurrence Download

description: A dataset containing 1370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Phrynosoma cornutum (Harlan, 1825)"
 ]
}

 The dataset includes 1370 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045011-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vbrach
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anguina agrostis (Steinbuch, 1799))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044549-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r6wabp
title: Occurrence Download

description: A dataset listing the 55540 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aves"
 ]
}

 The dataset's 55540 records were derived from 15205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044530-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8hhmb
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sinapidendron sempervivifolium Menezes"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019357-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.erh26x
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abgrallaspis cyanophylli (Signoret, 1869)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019358-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqpx7q
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phalanger orientalis (Pallas, 1766)",
 "Year 1999-2025"
 ]
}

 The dataset includes 66 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019361-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpz9aa
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-30.23691 23.59347,-3.08371 23.59347,-3.08371 42.30269,-30.23691 42.30269,-30.23691 23.59347))",
 "TaxonKey is Sinapidendron sempervivifolium Menezes"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019362-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmh55w
title: Occurrence Download

description: A dataset containing 7998 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Geometry POLYGON((9.67796 45.32052,9.79589 45.32052,9.79589 45.71887,9.67796 45.71887,9.67796 45.32052))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2015-2025"
 ]
}

 The dataset includes 7998 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019363-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e223503
title: NWCG Glossary of Wildland Fire, PMS 205

description: The NWCG Glossary of Wildland Fire provides
 an extensive listing of approved terms and definitions used by the NWCG
 community. It contains terms commonly used by NWCG in the areas of 
wildland fire and incident management and is not intended to list all 
terms used by NWCG groups and member agencies. The NWCG has directed 
that all committee and subgroup product glossaries be contained within 
the NWCG Glossary of Wildland Fire to maintain definition consistency and clarity among documents.
DOI: 10.3886/e223503v1
title: NWCG Glossary of Wildland Fire, PMS 205

description: The NWCG Glossary of Wildland Fire provides
 an extensive listing of approved terms and definitions used by the NWCG
 community. It contains terms commonly used by NWCG in the areas of 
wildland fire and incident management and is not intended to list all 
terms used by NWCG groups and member agencies. The NWCG has directed 
that all committee and subgroup product glossaries be contained within 
the NWCG Glossary of Wildland Fire to maintain definition consistency and clarity among documents.
DOI: 10.3886/e223502
title: Geographic Distribution of VA Expenditures (GDX) Report

description: The National Center for Veterans Analysis and Statistics (NCVAS) 
publishes the annual Geographic Distribution of VA Expenditures (GDX) 
Report. The GDX report provides a breakdown of VA expenditures for each 
major VA program at the state, county, and Congressional District 
levels. Expenditure data are grouped into the following program 
categories:
Compensation and Pension;Education and Vocational Rehabilitation and Employment;Insurance and Indemnities;Loan Guaranty;Medical ExpendituresConstruction and Related Costs; andGeneral Operating Expenses and Related Costs.
The GDX Report also includes Veteran population estimates at the 
state, county and Congressional District level and the number of unique 
patients who used VA health care services.<br>
description: VA expenditures for each 
major VA program at the state, county, and Congressional District 
levels.<br>. Smallest Geographic Unit: Congressional District
DOI: 10.3886/e223502v1
title: Geographic Distribution of VA Expenditures (GDX) Report

description: The National Center for Veterans Analysis and Statistics (NCVAS) 
publishes the annual Geographic Distribution of VA Expenditures (GDX) 
Report. The GDX report provides a breakdown of VA expenditures for each 
major VA program at the state, county, and Congressional District 
levels. Expenditure data are grouped into the following program 
categories:
Compensation and Pension;Education and Vocational Rehabilitation and Employment;Insurance and Indemnities;Loan Guaranty;Medical ExpendituresConstruction and Related Costs; andGeneral Operating Expenses and Related Costs.
The GDX Report also includes Veteran population estimates at the 
state, county and Congressional District level and the number of unique 
patients who used VA health care services.<br>
description: VA expenditures for each 
major VA program at the state, county, and Congressional District 
levels.<br>. Smallest Geographic Unit: Congressional District
DOI: 10.15468/dl.zz8j4n
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hansonoperla hokolesqua Kondratieff & Kirchner, 1996"
 ]
}

 The dataset includes 26 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019365-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rrsgn
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solanum patens Lowe"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019366-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6m8t3e
title: Occurrence Download

description: A dataset containing 3899 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euodynerus hidalgo (de Saussure, 1857)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3899 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019367-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e223521
title: National Center for Veterans Analysis and Statistics - Veteran Population

description: This dataset contains publications from the National Center for Veterans Analysis and Statistics (NCVAS) regarding the United States veteran population. The data, which are based on the current projection model VetPop2023, describe veteran population across key demographic characteristics such as age, gender, period of service, and race/ethnicity at various geographic levels and are presented in various infographics, visualizations, and tabular data files.
description: Estimated veteran population in the United States as of 2023. Smallest Geographic Unit: Congressional district
DOI: 10.3886/e223521v1
title: National Center for Veterans Analysis and Statistics - Veteran Population

description: This dataset contains publications from the National Center for Veterans Analysis and Statistics (NCVAS) regarding the United States veteran population. The data, which are based on the current projection model VetPop2023, describe veteran population across key demographic characteristics such as age, gender, period of service, and race/ethnicity at various geographic levels and are presented in various infographics, visualizations, and tabular data files.
description: Estimated veteran population in the United States as of 2023. Smallest Geographic Unit: Congressional district
DOI: 10.15468/dl.75bzea
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-143.64081 14.46510,-30.57378 14.46510,-30.57378 59.74395,-143.64081 59.74395,-143.64081 14.46510))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aureoboletus projectellus (Murrill) Halling",
 "Year 1927-2024"
 ]
}

 The dataset includes 173 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019368-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twhrkx
title: Occurrence Download

description: A dataset containing 302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pyrrhura cruentata (Wied-Neuwied, 1820)",
 "Year 2023-2025"
 ]
}

 The dataset includes 302 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019369-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e223523
title: Hydrographic and Impairment Statistics for Parks, Regions, Networks and NPS Wild and Scenic Rivers

description: An inventory that spatially quantifies the surface water hydrography 
that NPS manages (by park, region, and network) to determine and track 
which waterbodies are or are not meeting water quality standards as 
outlined by Section 303(d) of the Clean Water Act. The inventory also 
includes the NPS Wild and Scenic Rivers. <br><br>Hydrographic and 
Impairment Statistics (HIS) is a National Park Service (NPS) Water 
Resources Division (WRD) project established to track certain goals 
created in response to the Government Performance and Results Act of 
1993 (GPRA). <br><br>One water resources management goal established by 
the Department of the Interior under GRPA requires NPS to track the 
percent of its managed surface waters that are meeting Clean Water Act 
(CWA) water quality standards. This goal requires an accurate inventory 
that spatially quantifies the surface water hydrography that each bureau
 manages and a procedure to determine and track which waterbodies are or
 are not meeting water quality standards as outlined by Section 303(d) 
of the CWA. <br><br>This project helps meet this DOI GRPA goal by 
inventorying and monitoring in a geographic information system for the 
NPS: (1) CWA 303(d) quality impaired waters and causes; (2) hydrographic
 statistics based on the United States Geological Survey (USGS) National
 Hydrography Dataset (NHD); and (3) special designations recognizing 
waters of exceptional quality as defined in State water quality 
standards. Hydrographic and 303(d) impairment statistics were evaluated 
based on a combination of 1:24,000 (NHD) and finer scale data 
(frequently provided by state GIS layers). Information on 
State-designated uses and waters of exceptional quality are only 
available for a limited number of parks at this time.
description: Surface waters under the management of the National Park Services (NPS) and waterways included in the NPS Wild and Scenic Rivers.
DOI: 10.3886/e223523v1
title: Hydrographic and Impairment Statistics for Parks, Regions, Networks and NPS Wild and Scenic Rivers

description: An inventory that spatially quantifies the surface water hydrography 
that NPS manages (by park, region, and network) to determine and track 
which waterbodies are or are not meeting water quality standards as 
outlined by Section 303(d) of the Clean Water Act. The inventory also 
includes the NPS Wild and Scenic Rivers. <br><br>Hydrographic and 
Impairment Statistics (HIS) is a National Park Service (NPS) Water 
Resources Division (WRD) project established to track certain goals 
created in response to the Government Performance and Results Act of 
1993 (GPRA). <br><br>One water resources management goal established by 
the Department of the Interior under GRPA requires NPS to track the 
percent of its managed surface waters that are meeting Clean Water Act 
(CWA) water quality standards. This goal requires an accurate inventory 
that spatially quantifies the surface water hydrography that each bureau
 manages and a procedure to determine and track which waterbodies are or
 are not meeting water quality standards as outlined by Section 303(d) 
of the CWA. <br><br>This project helps meet this DOI GRPA goal by 
inventorying and monitoring in a geographic information system for the 
NPS: (1) CWA 303(d) quality impaired waters and causes; (2) hydrographic
 statistics based on the United States Geological Survey (USGS) National
 Hydrography Dataset (NHD); and (3) special designations recognizing 
waters of exceptional quality as defined in State water quality 
standards. Hydrographic and 303(d) impairment statistics were evaluated 
based on a combination of 1:24,000 (NHD) and finer scale data 
(frequently provided by state GIS layers). Information on 
State-designated uses and waters of exceptional quality are only 
available for a limited number of parks at this time.
description: Surface waters under the management of the National Park Services (NPS) and waterways included in the NPS Wild and Scenic Rivers.
DOI: 10.3886/e223525
title: NWS Historical HeatRisk, 2005-2024

description: The NWS HeatRisk is an experimental color-numeric-based index that provides a forecast risk of heat-related impacts to occur over a 24-hour period. HeatRisk takes into consideration:<br><br>How unusual the heat is for the time of the year.The duration of the heat including both daytime and nighttime temperatures.If those temperatures pose an elevated risk of heat-related impacts based on data from the CDC.<br>This index is supplementary to official NWS heat products and is meant to provide risk guidance for those decision makers and heat-sensitive populations who need to take actions at levels that may be below current NWS heat product levels.<br><br>This dataset includes all NWS HeatRisk calculations in tabular format between 2005 and 2024.
description: NWS HeatRisk calculations made at National Centers for Environmental Information station locations in the United States from 2005-2024. Smallest Geographic Unit: National Centers for Environmental Information station locations
DOI: 10.3886/e223525v1
title: NWS Historical HeatRisk, 2005-2024

description: The NWS HeatRisk is an experimental color-numeric-based index that provides a forecast risk of heat-related impacts to occur over a 24-hour period. HeatRisk takes into consideration:<br><br>How unusual the heat is for the time of the year.The duration of the heat including both daytime and nighttime temperatures.If those temperatures pose an elevated risk of heat-related impacts based on data from the CDC.<br>This index is supplementary to official NWS heat products and is meant to provide risk guidance for those decision makers and heat-sensitive populations who need to take actions at levels that may be below current NWS heat product levels.<br><br>This dataset includes all NWS HeatRisk calculations in tabular format between 2005 and 2024.
description: NWS HeatRisk calculations made at National Centers for Environmental Information station locations in the United States from 2005-2024. Smallest Geographic Unit: National Centers for Environmental Information station locations
DOI: 10.15468/dl.zw5usz
title: Occurrence Download

description: A dataset containing 1719 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-157.86129 11.16548,-41.13871 11.16548,-41.13871 57.83452,-157.86129 57.83452,-157.86129 11.16548))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phrynosoma cornutum (Harlan, 1825)"
 ]
}

 The dataset includes 1719 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019370-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3eb6g
title: Occurrence Download

description: A dataset containing 96794 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((100.453 -0.92, 101.468 -0.92, 101.468 0.057, 100.453 0.057, 100.453 -0.92))",
 "EventDate is greater than or equal to 1900-01-01",
 "EventDate is less than or equal to 2025-03-21"
 ]
}

 The dataset includes 96794 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019350-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15028373
title: hicar
DOI: 10.5281/zenodo.15028374
title: hicar
DOI: 10.5281/zenodo.15053724
title: hicar
DOI: 10.6084/m9.figshare.28635869
title: Supplementary tables of results from systematic reviews and meta-analyses

description: Information from the systematic analysis of Chagas Disease treatment possibilities applied to preclinical research with animal models.
DOI: 10.15468/dl.frfcju
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-30.07134 15.6462,1.88333 15.6462,1.88333 38.49462,-30.07134 38.49462,-30.07134 15.6462))",
 "TaxonKey is Solanum patens Lowe"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019372-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5t727t75
title: MassIVE MSV000097384 - GNPS U2OS HA-TIPIN HA-IP & MS under camptothecin DNA damage
title: Analysis of TIPIN and TIPUIN PTMs in DNA repair in U2OS model. LFQ analysis of TIPIN was performed under four sample conditions: 1) Control untreated, 2) TIPIN WT untreated, 3) TIPIN WT CPT, 4) TIPIN S222A CPT.
DOI: 10.25345/c5f18ss93
title: MassIVE MSV000097387 - GNPS U2OS HA-TIPIN HA-IP & MS under camptothecin DNA damage
title: Analysis of TIPIN and TIPUIN PTMs in DNA repair in U2OS model. LFQ analysis of TIPIN was performed under four sample conditions: 1) Control untreated, 2) TIPIN WT untreated, 3) TIPIN WT CPT, 4) TIPIN S222A CPT.
DOI: 10.25345/c5jq0t70s
title: MassIVE MSV000097385 - GNPS U2OS HA-TIPIN HA-IP & MS under camptothecin DNA damage
title: This study analyzes the function of TIPIN and its PTMs in DNA repair in a U2OS model. Four sample conditions were used: Control untreated, TIPIN WT untreated, TIPIN WT CPT, TIPIN S222A CPT. Spectra were acquired using an orbital trap and LFQ analysis was performed using Proteome Discoverer 3.1.
DOI: 10.25345/c5pg1j13f
title: MassIVE MSV000097386 - GNPS U2OS HA-TIPIN HA-IP & MS under camptothecin DNA damage
title: Analysis of TIPIN and TIPUIN PTMs in DNA repair in U2OS model. LFQ analysis of TIPIN was performed under four sample conditions: 1) Control untreated, 2) TIPIN WT untreated, 3) TIPIN WT CPT, 4) TIPIN S222A CPT.