cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr02851.v2
title: Hispanic Established Populations for the Epidemiologic Studies of the Elderly, 1993-1994: [Arizona, California, Colorado, New Mexico, and Texas]
title: Version 2

description: The Hispanic Established Populations for the Epidemiologic
Studies of the Elderly (Hispanic EPESE) was modeled after the design
of the ESTABLISHED POPULATIONS FOR EPIDEMIOLOGIC STUDIES OF THE
ELDERLY, 1981-1993: [EAST BOSTON, MASSACHUSETTS, IOWA AND WASHINGTON
COUNTIES, IOWA, NEW HAVEN, CONNECTICUT, AND NORTH CENTRAL NORTH
CAROLINA] (ICPSR 9915) and ESTABLISHED POPULATIONS FOR EPIDEMIOLOGIC
STUDIES OF THE ELDERLY, 1996-1997: PIEDMONT HEALTH SURVEY OF THE
ELDERLY, FOURTH IN-PERSON SURVEY [DURHAM, WARREN, VANCE, GRANVILLE,
AND FRANKLIN COUNTIES, NORTH CAROLINA] (ICPSR 2744). The Hispanic
EPESE collected baseline data beginning in September 1993 through June
1994 on a representative sample of community-dwelling Mexican-American
elderly, aged 65 years and older, residing in the five southwestern
states of Arizona, California, Colorado, New Mexico, and Texas. The
primary purpose of the study was to provide estimates of the
prevalence of key physical health conditions, mental health
conditions, and functional impairments in older Mexican Americans and
to compare these estimates with those for other populations. The
Hispanic EPESE attempted to determine whether certain risk factors for
mortality and morbidity operate differently in Mexican Americans than
in non-Hispanic White Americans, African Americans, and other major
ethnic groups. The public use baseline data cover demographic
characteristics (age, sex, type of Hispanic race, income, education,
marital status, number of children, employment, and religion), height,
weight, social and physical functioning, chronic conditions, related
health problems, health habits, self-reported use of dental, hospital,
and nursing home services, and depression.
description: Presence of Common Scales: MMSE
CES-D
description: Multistage, stratified, probability sample
description: Datasets: 
DS1: Data File
description: All noninstitutionalized Mexican-American persons 65 years
of age and older in Arizona, California, Colorado, New Mexico, and
Texas.
description: The SAS transport file was created using the SAS
XPORT engine.
DOI: 10.15468/dl.ekv947
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hoplitis mojavensis Michener, 1947"
 ]
}

 The dataset includes 126 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008977-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jywcnp
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hoplitis nemophilae Neff, 2009"
 ]
}

 The dataset includes 89 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008979-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/30482
title: Chandra X-ray Observatory ObsId 30482

description: Chandra followup observations of core collapse supernovae
DOI: 10.15468/dl.jpdqzc
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hoplitis nemophilae Neff, 2009"
 ]
}

 The dataset includes 77 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008981-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6beyjd
title: Occurrence Download

description: A dataset containing 22765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is USA.43_1",
 "TaxonKey is Amphibia",
 "Year 1920-2025"
 ]
}

 The dataset includes 22765 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008978-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/30780
title: Chandra X-ray Observatory ObsId 30780

description: CHANDRA/EVENT HORIZON TELESCOPE STUDY OF MESSIER 84: JETS AND ACCRETION INFLOW
DOI: 10.15468/dl.7ps2ur
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus trojana Webb"
 ]
}

 The dataset's 2 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008968-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z63xsq
title: Occurrence Download

description: A dataset containing 118724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-1000000.0",
 "GadmGid is GBR.1.36_1",
 "OccurrenceStatus is Present",
 "Year 2000-2002"
 ]
}

 The dataset includes 118724 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008957-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yt7pje
title: Occurrence Download

description: A dataset containing 17 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.basisofrecord = 'HUMAN_OBSERVATION'
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND (occurrence.taxonkey = 2879774 OR occurrence.acceptedtaxonkey = 2879774 OR occurrence.kingdomkey = 2879774 OR occurrence.phylumkey = 2879774 OR occurrence.classkey = 2879774 OR occurrence.orderkey = 2879774 OR occurrence.familykey = 2879774 OR occurrence.genuskey = 2879774 OR occurrence.specieskey = 2879774)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 17 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008969-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.btp2m7
title: Occurrence Download

description: A dataset containing 339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crotalus ravus Cope, 1865"
 ]
}

 The dataset includes 339 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009181-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eygbwu
title: Occurrence Download

description: A dataset containing 439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Physaria alpina Rollins"
 ]
}

 The dataset includes 439 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009184-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrc462
title: Occurrence Download

description: A dataset containing 64803 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NHMD Ornithology Collection",
 "Year is less than or equal to 3000"
 ]
}

 The dataset includes 64803 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008975-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cvgps
title: Occurrence Download

description: A dataset containing 298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Implementación del programa de monitoreo del cocodrilo del pantano (Crocodylus moreletti) México-Belice-Guatemala: región de coordinación MXRC2-Golfo Centro, Veracruz centro y norte Oaxaca",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 298 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009176-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wu78h7
title: Occurrence Download

description: A dataset containing 3511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-93.81018 31.19912,-93.94667 29.6989,-91.52387 29.01484,-89.08401 28.76088,-89.22051 29.71372,-89.54469 31.27206,-93.81018 31.19912))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bryophyta"
 ]
}

 The dataset includes 3511 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009180-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxn4vx
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is USA.3.8_1",
 "Month is one of (June, July, August, September)",
 "TaxonKey is Amsinckia Lehm.",
 "Year 2012-2025"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009182-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tfqtnd
title: Occurrence Download

description: A dataset containing 957274 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus europaeus Pallas, 1778"
 ]
}

 The dataset includes 957274 records from 3155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008958-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0195862.10fu
title: SH0195862.10FU

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: 10.5281/zenodo.17945227
title: Designer indicators for two-photon recording of subthreshold voltage dynamics (Figure 3H Part 1 FOV3.2)
title: Figure 3H Part 1 FOV3.2

description: For questions regarding this dataset and the code used to analyze it please contact Dr. St-Pierre and Dr. Ji.
DOI: 10.5281/zenodo.17945228
title: Designer indicators for two-photon recording of subthreshold voltage dynamics (Figure 3H Part 1 FOV3.2)
title: Figure 3H Part 1 FOV3.2

description: For questions regarding this dataset and the code used to analyze it please contact Dr. St-Pierre and Dr. Ji.
DOI: 10.15156/bio/sh0195863.10fu
title: SH0195863.10FU

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/sh0195864.10fu
title: SH0195864.10FU

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/sh0195865.10fu
title: SH0195865.10FU

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/sh0195866.10fu
title: SH0195866.10FU

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/sh0195867.10fu
title: SH0195867.10FU

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/sh0195868.10fu
title: SH0195868.10FU

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/sh0195869.10fu
title: SH0195869.10FU

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/sh0195870.10fu
title: SH0195870.10FU

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: 10.5281/zenodo.18202918
title: CMIP-Data-Request/CMIP7_DReq_Content: Data request content for v1.2.2.3 (csv version)

description: For future compatibility and readability, this is a csv copy of the data request json files located at https://doi.org/10.5281/zenodo.17986580.  All additional information regarding this dataset can be found at that link.