cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7289/v55q4tdq
title: National Coral Reef Monitoring Program: Water temperature data from subsurface temperature recorders (STRs) deployed at coral reef sites in American Samoa

description: This collection contains water temperature data collected using subsurface temperature recorders (STRs) that aid in the monitoring of seawater temperature variability at permanent coral reef sites in American Samoa as part of the ongoing NOAA National Coral Reef Monitoring Program (NCRMP). The high-accuracy temperature loggers used to gather this data are made by SeaBird Electronics (SBE). They are deployed on the reef for a period of 3 years at depths ranging from 0 to 30 meters along depth transects at Ocean and Climate Change monitoring survey sites. When an STR is recovered, typically another STR is deployed in the same location. Raw data with an original sample interval ranging from 1 to 20 minutes are averaged hourly, and gaps of longer than one hour in the time-series, due to instrument failure or battery death, are padded with null values. 

The temperature data provided in this dataset were collected from STRs deployed at existing, long-term monitoring sites during NOAA Pacific Islands Fisheries Science Center (PIFSC), Coral Reef Ecosystem Program (CREP) led NCRMP missions.
DOI: 10.15468/dl.h7m8qn
title: Occurrence Download

description: A dataset containing 1055323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Asia, North America, Africa)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus robur L."
 ]
}

 The dataset includes 1055323 records from 2135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276281-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wv5y47
title: Occurrence Download

description: A dataset containing 56902 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Polypodiaceae"
 ]
}

 The dataset includes 56902 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007217-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/68fbyntjzx
title: LINF_170008500

description: Kinesin-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/68fbyntjzx.1
title: LINF_170008500

description: Kinesin-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.89655a
title: Occurrence Download

description: A dataset containing 7363 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode IN ('NL', 'VN', 'US', 'CN', 'IL', 'AU', 'JP', 'IN', 'BR', 'DE', 'CA', 'NZ', 'KR')
 AND LOWER(occurrence.iucnredlistcategory) = LOWER('EN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2019 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 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 7363 records were derived from 680 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007340-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98ceqj
title: Occurrence Download

description: A dataset containing 767 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Pterosauria"
 ]
}

 The dataset includes 767 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029247-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oxbxmw
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000000-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eew5p8
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Habenaria walleri Rchb.f."
 ]
}

 The dataset includes 51 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236696-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1374124.10fu
title: SH1374124.10FU

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.r87nde
title: Occurrence Download

description: A dataset containing 59286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Centaurea montana",
 "Year 1000-2022"
 ]
}

 The dataset includes 59286 records from 505 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005564-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1374126.10fu
title: SH1374126.10FU

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/sh1374130.10fu
title: SH1374130.10FU

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/sh1374132.10fu
title: SH1374132.10FU

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/sh1374133.10fu
title: SH1374133.10FU

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/sh1374134.10fu
title: SH1374134.10FU

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.bpma78
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orthotrichum rogeri",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 51 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023886-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/7pw-l1q-ab1
title: Agropyron Gaertn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/d5p-a2m-797
title: Aethionema virgatum (Boiss.) Hedge

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/406-fc7-0ht
title: Urochloa reptans (L.) Stapf

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/46j-ww8-vns
title: Eremopyrum triticeum (Gaertn.) Nevski

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6vg-gjz-lty
title: Aethionema capitatum Boiss. & Balansa

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0d5-58l-ze5
title: Eremopyrum triticeum (Gaertn.) Nevski

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/t9f-sfp-b08
title: Erica nabea Guthrie & Bolus

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr28201
title: National Crime Victimization Survey: School Crime Supplement, 2009
title: Archival Version

description: The primary purpose of the School Crime Supplement (SCS) is to obtain additional information about school-related victimizations so that policymakers; academic researchers; practitioners at the federal, state, and local levels; and special interest groups who are concerned with crime in schools can make informed decisions concerning policies and programs. The SCS asks questions related to students' experiences with, and perceptions of crime and safety at school, including preventive measures employed by schools; students' participation in after school activities; students' perception of school rules and enforcement of these rules; the presence of weapons, drugs, alcohol, and gangs in school;
student bullying; hate-related incidents; and attitudinal questions relating to the fear of victimization at school. These responses are linked to the National Crime Victimization Survey (NCVS) survey instrument responses for a more complete understanding of the individual student's circumstances.
description: The data contain weights for creating national estimates.
description: Persons ages 12 to 18 who were in primary or secondary
education programs leading to a high school diploma (elementary through high school), and who had been enrolled sometime during the 6 months prior to the interview, were
administered the 2009 SCS questionnaire.
description: Datasets: 
DS1: National Crime Victimization Survey: School Crime Supplement, 2009
description: NCVS household members aged 12 through 18.
description: face-to-face interview; web-based survey
DOI: 10.3535/kp9-z1d-5qe
title: Aethionema saxatile (L.) W. T. Aiton

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y43-622-wak
title: Hardenbergia comptoniana (Andrews) Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.qzg77z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Larus melanocephalus)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062998-250717081556266/datasets/export for details.
DOI: 10.3535/3x5-j9w-n09
title: Pseudoroegneria tauri (Boiss. & Balansa) Á.Löve

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jhl-23s-4wn
title: Agropyron Gaertn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mb5-t5w-7s5
title: Monnina exaltata A. W. Benn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr02266
title: Directory of Law Enforcement Agencies, 1992: [United States]
title: Archival Version

description: To ensure an accurate sampling frame for its Law
 Enforcement Management and Administrative Statistics (LEMAS) survey,
 the Bureau of Justice Statistics periodically sponsors a census of the
 nation's state and local law enforcement agencies. This census, known
 as the Directory Survey, gathers data on all police and sheriffs'
 departments that are publicly funded and employ at least one full-time
 or part-time sworn officer with general arrest powers. This data
 collection, compiled in July 1992, represents the second such census,
 with the first occurring in 1986 (DIRECTORY OF LAW ENFORCEMENT
 AGENCIES, 1986: [UNITED STATES] [ICPSR 8696]). Variables include
 personnel totals, type of agency, geographic location of agency, and
 whether the agency had the legal authority to hold a person beyond
arraignment for 48 or more hours.
description: Datasets: 
DS1: Directory of Law Enforcement Agencies, 1992: [United States]
description: All police and sheriffs' departments that are 
 publicly funded and employ at least one full-time or part-time sworn 
officer with general arrest powers.
description: The codebook and data collection instrument are provided 
 as a Portable Document Format (PDF) file. The PDF file format was 
 developed by Adobe Systems Incorporated and can be accessed using PDF 
 reader software, such as the Adobe Acrobat Reader. 
 Information on how to obtain a copy of the Acrobat Reader is provided
through the ICPSR Website on the Internet.
DOI: 10.3535/ls6-y24-zda
title: Erica rubiginosa Dulfer

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nmf-tfc-fwn
title: Lavandula lanata Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/d7k-4t2-34f
title: Ancylotropis insignis (A. W. Benn.) B. Eriksen

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e7t-scd-rzh
title: Elymus repens (L.) Gould

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/76e-7sv-bcv
title: Elymus repens (L.) Gould

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y7d-60v-geg
title: Agrostis stolonifera L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1wp-r2s-6s1
title: Agrostis stolonifera L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/m3h-dye-80z
title: Erica forsteri Dulfer

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mqj-ap4-fvs
title: Elymus pungens (Pers.) Melderis

description: Digital Specimen for the physical specimen hosted at University of Graz.