cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/tk35ga
title: CHAS Malacology Collection (Arctos)

description: The Chicago Academy of Sciences’ malacology collection consists of freshwater, marine, and terrestrial Mollusca, as well as specimens representing Echinodermata, Porifera, Brachiopoda, and Cnidaria. It is the third largest in the state of Illinois with approximately 15,000 specimens, split mainly between gastropods and bivalves. Many specimens are associated with Academy collectors, e.g. William Stimpson (1832-1872) or Frank C. Baker (1867-1942). Other major collectors include Elizabeth Emerson Atwater, William Wirt Calkins, Ruthven Deane, J. H. Handwerk, R. L. Lea, Howard N. Lyon, E. N. King, J. W. Velie, Frank Morley Woodruff, and Mrs. E. C. Wiswall. The collection consists mainly of North American varieties of mollusk, with a strong regional focus on the Midwest. Approximately 24% of domestic lots originated in Illinois. Academy expeditions in the late 1800s and early 1900s contributed a significant number of specimens from California and Florida, while a number of specimens collected by William Stimpson came from the eastern coast of the United States. Additional specimens originated in Bermuda, the Bahamas, Mexico, China, Indonesia, and Japan. Collection includes 7 holotypes and 50 syntypes, and specimens were primarily collected pre-1945.
DOI: 10.13140/2.1.1495.3924
title: McOnderwijs in Vlaanderen (McEducation in Flanders. Internationalisation and commercialisation of higher education)
DOI: 10.13140/2.1.4116.8322
title: Aanwerving leerkrachten TSO en BSO (Recruitment of teachers for technical and vocational schools)
DOI: 10.13140/2.1.2019.6801
title: Zelf-evaluatie in scholen (Self-evaluation in schools)
DOI: 10.3886/e238562
title: Non-Traffic Surveillance

description: The Non-Traffic Surveillance (NTS) system is a virtual data collection system designed to provide counts and details regarding non-traffic crashes and in non-crash injuries and fatalities. NTS non-traffic crash data is obtained through NHTSA’s Crash Investigation Sampling System, Crash Report Sampling System and the Fatality Analysis Reporting System. Non-traffic crashes have all harmful events and loss of control occurring off the trafficway. NTS non-crash injury data is based upon emergency department records from a special study conducted by the Consumer Product Safety Commission’s National Electronic Injury Surveillance System (NEISS) All Injury Program. NTS non-crash fatality data is derived from death certificate information from the Centers for Disease Control’s National Vital Statistics System. Non-crash injuries and fatalities include occurrences such as trunk entrapment, hyperthermia and etc.<br>
DOI: 10.13140/2.1.4791.1366
title: Het Hogescholendecreet. Een uitdaging voor de hogescholen. (The law on colleges of higher education. A challenge for these colleges)
DOI: 10.3886/e238562v1
title: Non-Traffic Surveillance

description: The Non-Traffic Surveillance (NTS) system is a virtual data collection system designed to provide counts and details regarding non-traffic crashes and in non-crash injuries and fatalities. NTS non-traffic crash data is obtained through NHTSA’s Crash Investigation Sampling System, Crash Report Sampling System and the Fatality Analysis Reporting System. Non-traffic crashes have all harmful events and loss of control occurring off the trafficway. NTS non-crash injury data is based upon emergency department records from a special study conducted by the Consumer Product Safety Commission’s National Electronic Injury Surveillance System (NEISS) All Injury Program. NTS non-crash fatality data is derived from death certificate information from the Centers for Disease Control’s National Vital Statistics System. Non-crash injuries and fatalities include occurrences such as trunk entrapment, hyperthermia and etc.<br>
DOI: 10.15468/dl.gt6d38
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helleborus viridis",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 61 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041267-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zygj8a
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helleborus viridis",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041268-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/hspn-pgnv-wa0m
title: UCATS 2-Channel Gas Chromatograph (GC) Data. Version 1.0

description: The UCATS 2-Channel Gas Chromatograph (GC) flew aboard the NSF/NCAR GV during HIPPO-1. The data are in NASA AMES format.
DOI: 10.13140/2.1.3567.7126
title: A ten-month diseases survey on wild Litopenaeus setiferus (Decapoda: Penaeidae) from Southern Gulf of Mexico
DOI: 10.15468/dl.ff8fbj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helleborus viridis",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041269-250920141307145/datasets/export for details.
DOI: 10.15468/ebxyjx
title: CHAS Mammalogy Collection (Arctos)

description: The Chicago Academy of Sciences’ mammalogy collection contains mostly small mammals native to the Midwest, as well as some Appalachian species. Specimens are primarily prepared as skins, with some additional osteological and display mount items. Many specimens are associated with collectors or Academy expeditions that have manuscript and /or audio-visual archival material, which can be provided to researchers upon request. Notable collectors include Robert Kennicott, Roy and Edwin Komarek, Alfred M. Bailey, Charles D. Brower, Stephen S. Gregory.
DOI: 10.15468/i5oupp
title: CHAS Entomology Collection (Arctos)

description: The Chicago Academy of Sciences’ entomology collection consists primarily of insect species from North and Central America, with a focus on the Midwestern United States. The Academy has had several prominent entomologists in its history, primarily between 1930 and 1960. Donald C. Lowrie (1910-2000) studied spiders and their role in local dune ecosystems. Leonora K. Gloyd (b. 1902) conducted fieldwork on Odonata. Orlando Park published on the taxonomy and ecology of Coleoptera, particularly the Pselaphidae, in the 1940s. Stanley Auerbach researched centipedes in the Chicago area during the 1950s. Other major collectors include Andrew Bolter (collected between 1879-1910) and Harry D. Sicher (collected between 1940 and 1970), both of whom collected primarily Lepidoptera. The majority of the non-Lepidopteran specimens were collected in the Midwest and Western Great Lakes regions, with Canada, California, Florida, and the Southwestern U.S. also represented. Lepidoptera primarily include species from the Midwestern U.S. as well as Canada, Mexico, Central and South America, Alaska, California, Florida, and the Southwestern U.S. Temporal Coverage of this collection is 1834-Present, with the bulk of the non-Lepidoptera specimens collected between 1872 and 1911, and the bulk of Lepidopteran specimens collected between 1891 and 1964.
DOI: 10.13140/2.1.4502.2400
title: RBHD of NOT Gate
DOI: 10.15468/dl.9cd8mg
title: Occurrence Download

description: A dataset containing 678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vespidae",
 "Year is 1977",
 "Continent is Europe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 678 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041270-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e238567v1
title: Prisma Result

description: A supplemental file of Microsoft Excel, providing a detailed mapping of the individual manuscripts in the corpus, ensuring
transparency and reliability of scoping review. This systematic literature search adopted the
PRISMA flow diagram.<br><br>
DOI: 10.26023/mpt6-1e07-hq0j
title: UCATS Ozone (O3) Data. Version 1.0

description: The UCATS Ozone (O3) photometer collected data during HIPPO-1 flights aboard the NSF/NCAR GV aircraft.
DOI: 10.5281/zenodo.17251835
title: 50-Member Flood Ensemble of Hurricane Irene in Philadelphia

description: This dataset includes 50 ensemble flood scenarios for Hurricane Irene in Philadelphia. The results were produced from an established coupled modeling framework for the Deleware River Basin and Philadelphia that combines the Distributed Hydrology Soil Vegetation model (DHSVM), Finite Volume Community Ocean Model (FVCOM), and the Rapid Infrastructure Flood Tool (RIFT). DHSVM and FVCOM model outputs were used at the boundary of our study area (020402031008 HUC12 subwatershed) as RIFT forcing. Flood scenarios generated with a 50-member ensemble of Hurricane Irene simulations based on the US DOE Energy Exascale Earth System Model (E3SM) provided meteorological forcing to FVCOM and DHSVM models. E3SM precipitation is used in RIFT alongside DHSVM and FVCOM output. RIFT output includes peak flood depth rasters for each ensemble member.
DOI: 10.5281/zenodo.17251834
title: 50-Member Flood Ensemble of Hurricane Irene in Philadelphia

description: This dataset includes 50 ensemble flood scenarios for Hurricane Irene in Philadelphia. The results were produced from an established coupled modeling framework for the Deleware River Basin and Philadelphia that combines the Distributed Hydrology Soil Vegetation model (DHSVM), Finite Volume Community Ocean Model (FVCOM), and the Rapid Infrastructure Flood Tool (RIFT). DHSVM and FVCOM model outputs were used at the boundary of our study area (020402031008 HUC12 subwatershed) as RIFT forcing. Flood scenarios generated with a 50-member ensemble of Hurricane Irene simulations based on the US DOE Energy Exascale Earth System Model (E3SM) provided meteorological forcing to FVCOM and DHSVM models. E3SM precipitation is used in RIFT alongside DHSVM and FVCOM output. RIFT output includes peak flood depth rasters for each ensemble member.
DOI: 10.15468/dl.p57avf
title: Occurrence Download

description: A dataset containing 3773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Symphyotrichum patens)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3773 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041272-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4d445
title: Occurrence Download

description: A dataset containing 153355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Borago officinalis"
 ]
}

 The dataset includes 153355 records from 732 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041225-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/mwrc-e8x7-080g
title: NCAR Electra Quality Controlled Dropsonde Data. Version 1.0

description: This data set contains quality controlled dropsonde data collected by the NSF/NCAR L188 Electra aircraft during the Mesoscale Alpine Programme (MAP) project. A total of 147 quality-controlled soundings in NCAR CLASS format are contained in the final dropsonde data set.
DOI: 10.13140/2.1.4690.2727
title: Internationalisering op school: een onderzoek naar motieven en effecten (Comenius 1 in Flanders. Internationalisation in schools)
DOI: 10.15468/dl.duaxwe
title: Occurrence Download

description: A dataset containing 414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helleborus viridis",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 414 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041273-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/68f6-8n40-mr0h
title: NOAA/GML SURFRAD Aerosol Properties- Aerosol Optical Depth, ISS Site. Version 1.0

description: This dataset contains Aerosol Optical Depth from MFRSR (415-nm, 500-nm, 615-nm, 1625-nm, 870-nm) for the Chequamegon Heterogeneous Ecosystem Energy-balance Study Enabled by a High-density Extensive Array of Detectors (CHEESEHEAD) project. A detailed description of the calibration methods for the SURFRAD MFRSRs, aerosol optical depth computation, data distribution/sites, file format and the SURFRAD aerosol optical depth algorithm can be found in the README_AOD file.
DOI: 10.15468/dl.emfftc
title: Occurrence Download

description: A dataset containing 540 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vespidae",
 "Year is 1977",
 "Continent is North America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 540 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041276-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3cb78
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helleborus viridis",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 76 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041274-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2dnzb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helleborus viridis",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041275-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vd24zu
title: Occurrence Download

description: A dataset containing 247138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Salvia pratensis"
 ]
}

 The dataset includes 247138 records from 1442 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041220-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0202068.10fu
title: SH0202068.10FU

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/sh0202069.10fu
title: SH0202069.10FU

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/sh0202070.10fu
title: SH0202070.10FU

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/sh0202071.10fu
title: SH0202071.10FU

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/sh0202072.10fu
title: SH0202072.10FU

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/sh0202073.10fu
title: SH0202073.10FU

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/sh0202074.10fu
title: SH0202074.10FU

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.