cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e226421
title: NCVAS State Summary Montana FY2023

description: NCVAS State Summary Montana FY2023 including facilities, expenditures, population, health care & benefits, population projections (age, sex, service, and ethnicity by year)<br><br><br>
DOI: 10.3886/e226421v1
title: NCVAS State Summary Montana FY2023

description: NCVAS State Summary Montana FY2023 including facilities, expenditures, population, health care & benefits, population projections (age, sex, service, and ethnicity by year)<br><br><br>
DOI: 10.15468/dl.6wu4ng
title: Occurrence Download

description: A dataset containing 1114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Plethodon virginia Highton, 1999)"
 ]
}

 The dataset includes 1114 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018292-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbdcv3
title: Occurrence Download

description: A dataset containing 92061 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Hypericum perforatum L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 92061 records from 418 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018280-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr04198.v1
title: Uniform Crime Reporting Program Data [United States]: Offenses Known and Clearances by Arrest, 1970
title: Version 1

description: Since 1930, the Federal Bureau of Investigation has
 compiled the Uniform Crime Reports (UCR) to serve as periodic
 nationwide assessments of reported crimes not available elsewhere in
 the criminal justice system. Law enforcement agencies contribute
 reports either directly or through their state reporting
 programs. Each year, summary data are reported in four types of files:
 (1) Offenses Known and Clearances by Arrest, (2) Property Stolen and
 Recovered, (3) Supplementary Homicide Reports (SHR), and (4) Police
 Employee (LEOKA) Data. The Offenses Known and Clearances by Arrest
 data files include monthly data on the number of Crime Index offenses
 reported and the number of offenses cleared by arrest or other
 means. The counts include all reports of Index crimes (excluding
 arson) received from victims, officers who discovered infractions, or
other sources.
description: inap.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data [United States]: Offenses Known and Clearances by Arrest, 1970
description: Index crimes reported by law enforcement agencies in the
United States.
description: self-enumerated formsOffenses Known and Clearances by Arrest data for the
 years 1960-1974 have been released with a separate study number for
 each year. From 1975-1997 all UCR data can be found in UNIFORM CRIME
 REPORTING PROGRAM DATA: [UNITED STATES] (ICPSR 9028). Starting with
 the year 1998, each of the four types of UCR summary data archived by
ICPSR is released as a separate study under its own study number.
DOI: 10.15156/bio/sh1047343.10fu
title: SH1047343.10FU

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/sh1047344.10fu
title: SH1047344.10FU

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/sh1047346.10fu
title: SH1047346.10FU

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/sh1047349.10fu
title: SH1047349.10FU

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/sh1047350.10fu
title: SH1047350.10FU

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/sh1047351.10fu
title: SH1047351.10FU

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/sh1047352.10fu
title: SH1047352.10FU

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/sh1047353.10fu
title: SH1047353.10FU

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/sh1047356.10fu
title: SH1047356.10FU

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.6b79rv
title: Occurrence Download

description: A dataset containing 13574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Verbena"
 ]
}

 The dataset includes 13574 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058282-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rc5xr8
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Oribatida Rehberger Sattelmoor"
 ]
}

 The dataset includes 206 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058280-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gb6fpp
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solanum vespertilio doramae)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058283-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znk7bm
title: Occurrence Download

description: A dataset containing 365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, 1928bdf0-f5d2-11dc-8c12-b8a03c50a862)",
 "TaxonKey is Reynoutria japonica Houtt.",
 "Year 2023-2024"
 ]
}

 The dataset includes 365 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000644-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3tans
title: Occurrence Download

description: A dataset containing 20442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Dacnis cayana (Linnaeus, 1766)",
 "Year 2002-2025"
 ]
}

 The dataset includes 20442 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000645-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6vuse
title: Occurrence Download

description: A dataset containing 1567880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus L.",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1567880 records from 3933 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000615-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.35080/data.d.2018.p8
title: An Inorganic Index Dataset of Groundwater in the Guanzhong Basin (2015)
title: 关中盆地地下水无机指标数据集(2015年度)

description: This dataset contains information about the locations and sampling layers of 200 groundwater samples taken in the Guanzhong Basin in 2015 as well as test results of 33 inorganic geochemical components. According to a comprehensive water quality evaluation, the samples above, if classified by water quality level, include 10 blank samples, 2 class−II samples, 57 class−III samples, 56 class−IV samples, and 75 class−V samples. If classified by water quality type, they include 111 fresh water samples, 71 brackish water samples, and 8 saline water samples. Samples were taken in compliance with procedures. Test results were obtained in qualified laboratory tests, so the obtained data was of a reliable quality. From the margin to the center of the Guanzhong Basin, the hydrochemical types of groundwater change from HCO3–Ca to HCO3−Ca·Mg·Na and then to SO4·Cl−Na, presenting a distinct horizontal zoning character pattern. According to the water quality evaluation, the groundwater quality is poor in Guanzhong Basin at this time, with 68.9% of the groundwater unfit for drinking. Class II and III water is mainly distributed in some areas to the south, west, and north of the Guanzhong Basin. Class IV water is mainly distributed around the Weihe River, and in Gaoling County, Jingyang County, and Qian County. Class V water is mainly distributed throughout the counties of Dali, Pucheng, Fuping, Sanyuan and Liquan, Yanliang District and surrounding areas of Xianyang City. This dataset will provide a geochemical indicator reference for studying the cyclical evolution of groundwater in the Guanzhong Basin.
description: 本数据集包含了2015年在关中盆地采集的200个地下水样品的位置信息、取样层位信息及33项无机地球化学成分测试结果信息。水质综合评价的结果按照地下水质量级别划分，除去10个空白水样，样品中Ⅱ类水2件，Ⅲ类水57件，Ⅳ类水56件，Ⅴ类水75件；按照地下水水质类型划分，淡水111件，半咸水71件，咸水8件。采样过程规范，测试结果均由具备国家认可资质的实验室测试完成，数据质量可靠。关中盆地从盆地边缘至盆地中心，地下水化学类型由HCO3−Ca型经HCO3−Ca·Mg·Na型转变为SO4·Cl −Na型，呈明显的水平分带性规律。水质评价的结果表明，该时段关中盆地地下水质量状况较差，有68.9%的地下水不适于直接饮用。其中Ⅱ−Ⅲ类水主要分布在关中盆地的南部、西部和北部的局部地区；Ⅳ类水主要分布在渭河边、高陵县、泾阳县和乾县；Ⅴ类水主要分布在大荔县、蒲城县、富平县、阎良区、咸阳市区周边、三原县和礼泉县。本数据集可为研究关中盆地地下水循环演化等提供地球化学指标参考。
DOI: 10.6084/m9.figshare.25475478
title: Will stumps from forest thinning and other standing deadwood provide habitat for saproxylic beetles if felling stumps on clearcuts are harvested?

description: Increased level of stump harvest on clearcuts is expected due to growing demand for bioenergy. For saproxylic species, this will reduce habitat supply. Negative effects on populations may be buffered by alternative deadwood habitats, especially stumps after forest thinning. We investigated clearcuts and mature forest to see whether such stumps or other standing deadwood could host saproxylic beetles that occur in clear-felling stumps. The study was conducted in boreal Sweden, on clearcuts 3–14 years after harvest and in mature forests. Beetles were sampled from the bark of spruce, pine and birch, from stumps after clear-felling, stumps after thinning, snags within forests and high-stumps on clearcuts. Beta diversity differed significantly between deadwood types, but not tree species. The stumps after thinning had a species poor assemblage compared to other deadwood. Abundance of common species was higher in deadwood on clearcuts compared to forests, and higher in snags than in stumps. We conclude that stumps after thinning and other standing deadwood will not buffer habitat loss from increased stump harvest for species inhabiting stumps on clearcuts, because these communities require sun-exposed habitats. Within mature managed forests, improving the quality and diversity of deadwood will be important for increasing the diversity of saproxylic beetle communities.
DOI: 10.6084/m9.figshare.25475478.v1
title: Will stumps from forest thinning and other standing deadwood provide habitat for saproxylic beetles if felling stumps on clearcuts are harvested?

description: Increased level of stump harvest on clearcuts is expected due to growing demand for bioenergy. For saproxylic species, this will reduce habitat supply. Negative effects on populations may be buffered by alternative deadwood habitats, especially stumps after forest thinning. We investigated clearcuts and mature forest to see whether such stumps or other standing deadwood could host saproxylic beetles that occur in clear-felling stumps. The study was conducted in boreal Sweden, on clearcuts 3–14 years after harvest and in mature forests. Beetles were sampled from the bark of spruce, pine and birch, from stumps after clear-felling, stumps after thinning, snags within forests and high-stumps on clearcuts. Beta diversity differed significantly between deadwood types, but not tree species. The stumps after thinning had a species poor assemblage compared to other deadwood. Abundance of common species was higher in deadwood on clearcuts compared to forests, and higher in snags than in stumps. We conclude that stumps after thinning and other standing deadwood will not buffer habitat loss from increased stump harvest for species inhabiting stumps on clearcuts, because these communities require sun-exposed habitats. Within mature managed forests, improving the quality and diversity of deadwood will be important for increasing the diversity of saproxylic beetle communities.