cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0207898.10fu
title: SH0207898.10FU

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/sh0207899.10fu
title: SH0207899.10FU

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/sh0207900.10fu
title: SH0207900.10FU

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.13235423
title: Multi-level emission impacts under rapid electrification and uncertain coal power phase-out in China's netzero transition

description: This contains the data and plotting script of the second preprint "Multi-level emission impacts under rapid electrification and uncertain coal power phase-out in China’s netzero transition"
DOI: 10.5281/zenodo.13235424
title: Multi-level emission impacts under rapid electrification and uncertain coal power phase-out in China's netzero transition

description: This contains the data and plotting script of the preprint "Multi-level emission impacts under rapid electrification and uncertain coal power phase-out in China’s netzero transition"
DOI: 10.5281/zenodo.14258785
title: Multi-level emission impacts under rapid electrification and uncertain coal power phase-out in China's netzero transition

description: This contains the data and plotting script of the second preprint "Multi-level emission impacts under rapid electrification and uncertain coal power phase-out in China’s netzero transition"
DOI: 10.5281/zenodo.14895088
title: Multi-level emission impacts under rapid electrification and uncertain coal power phase-out in China's netzero transition

description: This contains the data and plotting script of the second preprint "Multi-level emission impacts under rapid electrification and uncertain coal power phase-out in China’s netzero transition"
DOI: 10.15468/dl.xk8dzt
title: Occurrence Download

description: A dataset containing 525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis plana Nees",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 525 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002305-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3334/cdiac/otg.lillooet_ca
title: Partial pressure (or fugacity) of carbon dioxide, sea surface temperature, sea surface salinity and other variables collected from surface underway observations during the Ships of Opportunity (SOOP) M/V Lillooet cruises in the North and South Pacific Ocean from 1983-11-30 to 1988-02-20 (NCEI Accession 0000439)

description: This dataset includes chemical, meteorological, physical and surface underway data collected Ships of Opportunity (SOOP) M/V Lillooet cruises in the North and South Pacific Ocean from 1983-11-30 to 1988-02-20. These data include AIR TEMPERATURE - DRY BULB, AIR TEMPERATURE - WET BULB, BAROMETRIC PRESSURE, CARBON DIOXIDE - AIR, Partial pressure (or fugacity) of carbon dioxide, RELATIVE HUMIDITY, SALINITY, SEA SURFACE TEMPERATURE and WIND SPEED. The instruments used to collect these data include gas chromatograph. These data were collected by C. S. Wong of Climate Chemistry Laboratory, OSAP, Institute of Ocean Sciences as part of the Lillooet, Vancouver to Australia Cruises, 1983-1988 dataset.
DOI: 10.5281/zenodo.14895874
title: Gaia Test Climate Data

description: This is the test data for gaia Github Actions.
DOI: 10.5281/zenodo.14895875
title: Gaia Test Climate Data

description: This is the test data for gaia Github Actions.
DOI: 10.15468/dl.y96fvg
title: Occurrence Download

description: A dataset containing 6857 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalyptus robusta Sm.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 6857 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002306-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.htykyd
title: Occurrence Download

description: A dataset containing 383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected, Country derived from coordinates, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus germana Schltdl. & Cham."
 ]
}

 The dataset includes 383 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002307-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ewwce
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-80.191 43.199,-80.166 43.199,-80.166 43.217,-80.191 43.217,-80.191 43.199))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 267 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002308-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9jmpt
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-80.191 43.199,-80.166 43.199,-80.166 43.217,-80.191 43.217,-80.191 43.199))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 137 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002310-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jkwmd
title: Occurrence Download

description: A dataset containing 2895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Furcraea foetida (L.) Haw.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 2895 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002309-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zq6dse
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is eButterfly Surveys",
 "Geometry POLYGON((-80.191 43.199,-80.166 43.199,-80.166 43.217,-80.191 43.217,-80.191 43.199))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002311-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14895456
title: Linux kernels v2.6.14 v3.18.129 v6.10.1 processed by CScout

description: This dataset contains three SQLite databases containing a full image of the Linux kernel in relational form, as generated by the CScout refactoring browser (version 03023d - 2024-08-30 and version 3.46.1 2024-08-13) piping its output to SQLite (version 3.46.0 2024-05-23.

The datasets can be used to perform empirical research on the Linux kernel's source code, especially identifier semantics, which they represent in the form of equivalence classes. They form part of the replication package of the paper titled “You Are not Expected to Understand this: The Usage of the C Preprocessor in the Linux Kernel”.
DOI: 10.15468/dl.je7zw3
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Belize",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Tropicos MO Specimen Data, The New York Botanical Garden Herbarium (NY), NMNH Extant Specimen Records (USNM, US), Modelación de la distribución potencial del género Bursera (Burseraceae) en México, Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), Natural History Museum (London) Collection Specimens, Royal Botanic Gardens, Kew - Herbarium Specimens, Edinburgh (E) Herbarium Specimens)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bursera simaruba (L.) Sarg."
 ]
}

 The dataset includes 212 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002312-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.baw6xy
title: Occurrence Download

description: A dataset containing 1212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grevillea banksii R.Br.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1212 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002313-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e220142
title: HUD Multifamily Physical Inspection Scores by State

description: HUD assesses the physical condition of all HUD related multifamily projects pursuant to its regulations. The attached list shows the inspection results of the most recent inspection. Data, as of February 10, 2025 for Project Physical Inspection Scores can be downloaded as a Microsoft Excel spreadsheet or in a Portable Document Format (pdf) file.
DOI: 10.3886/e220142v1
title: HUD Multifamily Physical Inspection Scores by State

description: HUD assesses the physical condition of all HUD related multifamily projects pursuant to its regulations. The attached list shows the inspection results of the most recent inspection. Data, as of February 10, 2025 for Project Physical Inspection Scores can be downloaded as a Microsoft Excel spreadsheet or in a Portable Document Format (pdf) file.
DOI: 10.15468/dl.y9qx4p
title: Occurrence Download

description: A dataset containing 12326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grevillea robusta A.Cunn. ex R.Br.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 12326 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002314-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e219741
title: CFPB Student Banking and College Credit Card Marketing Agreements

description: Institutions of higher education play a critical role in supporting and 
promoting students’ overall financial health and well-being. A growing 
body of evidence suggests that relatively small financial shocks may 
cause acute financial hardship for students, potentially derailing their
 academic pursuits.<br>The Dodd-Frank Wall Street Reform and Consumer Protection Act of 2010 
instructs the Bureau to monitor for risks to consumers in the offering 
or provision of consumer financial products or services, particularly 
when those products pose a disproportionate risk to traditionally 
underserved populations.<br>
 
Student banking reports to Congress
 
 These reports monitor the growth and impacts of financial 
products offered by or in conjunction with colleges, specifically 
focusing on marketing agreements for college-sponsored deposit and 
prepaid accounts and college-sponsored credit cards.<br>
 
College credit card marketing agreements and data
 
 As required by the Credit CARD Act of 2009, we collect 
information annually from credit card issuers who have marketing 
agreements with universities, colleges, or affiliated organizations such
 as alumni associations, sororities, fraternities, and foundations. We 
maintain publicly accessible files of the agreements.<br><br><br><br><br>
DOI: 10.3886/e219741v1
title: CFPB Student Banking and College Credit Card Marketing Agreements

description: Institutions of higher education play a critical role in supporting and 
promoting students’ overall financial health and well-being. A growing 
body of evidence suggests that relatively small financial shocks may 
cause acute financial hardship for students, potentially derailing their
 academic pursuits.<br>The Dodd-Frank Wall Street Reform and Consumer Protection Act of 2010 
instructs the Bureau to monitor for risks to consumers in the offering 
or provision of consumer financial products or services, particularly 
when those products pose a disproportionate risk to traditionally 
underserved populations.<br>
 
Student banking reports to Congress
 
 These reports monitor the growth and impacts of financial 
products offered by or in conjunction with colleges, specifically 
focusing on marketing agreements for college-sponsored deposit and 
prepaid accounts and college-sponsored credit cards.<br>
 
College credit card marketing agreements and data
 
 As required by the Credit CARD Act of 2009, we collect 
information annually from credit card issuers who have marketing 
agreements with universities, colleges, or affiliated organizations such
 as alumni associations, sororities, fraternities, and foundations. We 
maintain publicly accessible files of the agreements.<br><br><br><br><br>
DOI: 10.15468/dl.66v3k9
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected, Continent derived from coordinates, Country derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Oreomunnea mexicana (Standl.) J.-F.Leroy"
 ]
}

 The dataset includes 230 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002315-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86q53k
title: Occurrence Download

description: A dataset containing 1398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heptapleurum arboricola Hayata",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1398 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002316-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmd4ys
title: Occurrence Download

description: A dataset containing 383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected, Country derived from coordinates, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus germana Schltdl. & Cham."
 ]
}

 The dataset includes 383 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002317-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.td6duu
title: Occurrence Download

description: A dataset containing 6991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hippobroma longiflora (L.) G.Don",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 6991 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002318-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e220143
title: CFPB Costs of Electronic Payments in K-12 Schools

description: As of Fall 2023, more than 52 million students were enrolled at public schools throughout the United States.1
 Over a school year, students incur a series of expenses for school 
meals, bus passes, after-school programs, and technology and materials 
needed for class, among other costs. As the broader payments ecosystem 
continues shifting towards more digital options in the wake of the 
COVID-19 pandemic, school districts are increasingly contracting with 
payment processing companies to provide an avenue for families to pay 
school-related expenses online. While convenient for both families and 
school districts, electronic payment options present new costs and 
challenges for the families using them.For
 example, in many schools, families can electronically load funds into 
an account that students can draw from to pay for school meals. Although
 federal policy specifies that schools must provide a fee-free option 
for school lunch payment, many payment processors charge a transaction 
fee each time a user electronically adds money to a student’s school 
cafeteria account.2
 Payment processing companies have broad control over fee rates, though 
payment companies maintain that school districts have the opportunity to
 negotiate these rates during the contracting process. Some districts 
cover part or all of this fee, but it is frequently paid by the families
 who make electronic payments. Over the course of a school year, 
transaction fees for electronic payments in and outside of the lunchroom
 can significantly increase a family’s total spending on school-related 
costs and may disproportionately impact families with lower incomes.3To
 better understand the emergence of electronic payment processors in 
K-12 schools, the CFPB analyzed publicly available information from the 
300 largest public school districts in the U.S. and held unstructured 
interviews with public school officials and companies offering these 
payment platforms. The sample of school districts covers more than 16.7 
million students across more than 25,000 schools. This spotlight 
highlights average costs and potential risks for families using 
electronic payment platforms to add money to their child’s school lunch 
account and reviews the market size and landscape of companies offering 
them, building upon initial observations referenced in the Fall 2023 
edition of Supervisory Highlights.4<br><br>