cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0172183.10fu
title: SH0172183.10FU

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/sh0172184.10fu
title: SH0172184.10FU

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: 10.7910/dvn/g34yfy
title: Office of Satellite and Products Operations Atmosphere Product (OSOP-AP)

description: The Office of Satellite and Products Operations, Atmosphere Products (OSPO-AP), is a collection of over 20 separate atmospheric data products that are grouped into seven categories: Aerosol, Clouds, Ozone/Atmospheric Chemistry, Precipitation, Soundings, Volcanic Ash, and Winds. Each category includes individual data products and measurements derived from NOAA's advanced satellite systems. These data are essential for monitoring and understanding atmospheric changes and how they affect the Earth’s environment. Many of the key Atmosphere products use near-real time, satellite imagery for high-resolution visual representations of cloud cover, storms, and other atmospheric features recorded for the current month. The satellites include geostationary operational satellites (GOES), polar-orbiting environmental satellites (POES), and Joint Polar Satellite Systems (JPSS). The data in the Atmosphere products are used by meteorologists, researchers, and decision-makers in support of their efforts to understand and predict weather patterns. The history of NOAA’s satellite program and instrumentation, starting in 1970, is also available at https://www.nesdis.noaa.gov/our-satellites/related-information/history-of-noaa-satellites.
DOI: 10.15156/bio/sh0172185.10fu
title: SH0172185.10FU

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/sh0172186.10fu
title: SH0172186.10FU

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/sh0172187.10fu
title: SH0172187.10FU

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.7c96nf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((74.966595 21.433745, 74.891148 21.428168, 74.817576 21.411577, 74.747705 21.384384, 74.683267 21.347264, 74.625856 21.301138, 74.57689000000001 21.247149, 74.537569 21.186634, 74.50885599999999 21.12109, 74.491444 21.052137, 74.485747 20.981475, 74.49189 20.910847, 74.509705 20.841988, 74.538738 20.776592, 74.578264 20.716263, 74.627301 20.66248, 74.684641 20.616559, 74.748874 20.579625, 74.818425 20.552579, 74.891595 20.536083, 74.966595 20.530539, 75.041595 20.536083, 75.11476500000001 20.552579, 75.184316 20.579625, 75.248549 20.616559, 75.30588899999999 20.66248, 75.35492600000001 20.716263, 75.394452 20.776592, 75.423485 20.841988, 75.4413 20.910847, 75.44744300000001 20.981475, 75.44174599999999 21.052137, 75.424334 21.12109, 75.39562100000001 21.186634, 75.3563 21.247149, 75.307334 21.301138, 75.249923 21.347264, 75.185485 21.384384, 75.11561399999999 21.411577, 75.042042 21.428168, 74.966595 21.433745))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001442-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh0172188.10fu
title: SH0172188.10FU

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/sh0172189.10fu
title: SH0172189.10FU

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/sh0172190.10fu
title: SH0172190.10FU

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: 10.17632/ck6r4dmgcz.1
title: A pharmacokinetic study on the intralesional administration of methotrexate in patients with nail psoriasis.

description: This dataset contains supplementary methods and results for the article "A pharmacokinetic study on the intralesional administration of methotrexate in patients with nail psoriasis.", submitted to Journal of American Academy of Dermatology .
DOI: 10.17632/z87rbpdgf8
title: Patent Protection and Growth: Data and Simulation Code

description: This dataset accompanies the paper “Patent Policy at a Tipping Point: Why Stronger Patent Protection May Not Foster Economic Growth” (Bom & Stojanovikj, Economic Modelling, 2025). The paper investigates how changes in patent protection intensity affect long-run economic growth by combining theoretical modeling with numerical simulations calibrated on real-world data.

The dataset contains two main data sources:

WB_growth.xlsx – Real GDP growth rates from the World Development Indicators (World Bank). The file includes OECD and non-OECD country identifiers, allowing for the computation of average growth rates for each group. These averages provide the empirical motivation for the baseline growth rates used in the model’s calibration.

OECD-MSTI.xlsx – Data from the OECD Main Science and Technology Indicators (MSTI) on R&D employment shares, expressed per thousand workers. These data are converted to percentages to parameterize the share of R&D labor in the simulations, distinguishing between OECD and non-OECD economies.

The accompanying MATLAB code replicates the simulation exercises reported in Sections 4.1–4.6 of the paper. The code uses the above datasets to calibrate model parameters, simulate steady-state outcomes under different levels of patent protection, and produce the quantitative results discussed in the text.

The data were obtained from publicly available sources (World Bank and OECD) and require no special access rights. Users can modify the MATLAB code to explore alternative parameter settings or country groupings.

Overall, the dataset allows researchers to replicate and extend the numerical results in the paper and to explore how different assumptions about R&D labor and economic growth influence the relationship between patent policy and long-run growth.
DOI: 10.17632/z87rbpdgf8.1
title: Patent Protection and Growth: Data and Simulation Code

description: This dataset accompanies the paper “Patent Policy at a Tipping Point: Why Stronger Patent Protection May Not Foster Economic Growth” (Bom & Stojanovikj, Economic Modelling, 2025). The paper investigates how changes in patent protection intensity affect long-run economic growth by combining theoretical modeling with numerical simulations calibrated on real-world data.

The dataset contains two main data sources:

WB_growth.xlsx – Real GDP growth rates from the World Development Indicators (World Bank). The file includes OECD and non-OECD country identifiers, allowing for the computation of average growth rates for each group. These averages provide the empirical motivation for the baseline growth rates used in the model’s calibration.

OECD-MSTI.xlsx – Data from the OECD Main Science and Technology Indicators (MSTI) on R&D employment shares, expressed per thousand workers. These data are converted to percentages to parameterize the share of R&D labor in the simulations, distinguishing between OECD and non-OECD economies.

The accompanying MATLAB code replicates the simulation exercises reported in Sections 4.1–4.6 of the paper. The code uses the above datasets to calibrate model parameters, simulate steady-state outcomes under different levels of patent protection, and produce the quantitative results discussed in the text.

The data were obtained from publicly available sources (World Bank and OECD) and require no special access rights. Users can modify the MATLAB code to explore alternative parameter settings or country groupings.

Overall, the dataset allows researchers to replicate and extend the numerical results in the paper and to explore how different assumptions about R&D labor and economic growth influence the relationship between patent policy and long-run growth.
DOI: 10.17632/32wf87m6s4
title: Supplementary Materials For Communications Skills Taught in Medical Education

description: Supplementary materials For Communications Skills Taught in Medical Education.
DOI: 10.17632/32wf87m6s4.1
title: Supplementary Materials For Communications Skills Taught in Medical Education

description: Supplementary materials For Communications Skills Taught in Medical Education.
DOI: 10.17632/g6b6kf8y4x
title: Supplementary Materials For Communications Skills Taught in Medical Education

description: Supplementary materials for Communications Skills Taught in Medical Education.
DOI: 10.17632/g6b6kf8y4x.1
title: Supplementary Materials For Communications Skills Taught in Medical Education

description: Supplementary materials for Communications Skills Taught in Medical Education.
DOI: 10.34740/kaggle/dsv/13333605
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.67ww4t
title: Occurrence Download

description: A dataset containing 26786558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "CoordinateUncertaintyInMeters 0.0-5170.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 26786558 records from 790 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000902-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t53usc
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034510-250717081556266/datasets/export for details.
DOI: 10.15468/dl.we9xf7
title: Occurrence Download

description: A dataset containing 37048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Phillyrea latifolia"
 ]
}

 The dataset includes 37048 records from 397 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034508-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbf846
title: Occurrence Download

description: A dataset containing 18835 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lupinus argenteus"
 ]
}

 The dataset includes 18835 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034509-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fw8zyd
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034513-250717081556266/datasets/export for details.
DOI: 10.15468/dl.577tgw
title: Occurrence Download

description: A dataset containing 435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligustrum sinense",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 435 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034514-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ge3s4
title: Occurrence Download

description: A dataset containing 38056 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Legousia speculum-veneris"
 ]
}

 The dataset includes 38056 records from 649 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034512-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dd8yn7
title: Occurrence Download

description: A dataset containing 398483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Urtica dioica",
 "Continent is Europe",
 "Year is 1985,2020",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than 1000",
 {
 "not" : {
 "CoordinateUncertaintyInMeters" : [
 "is 301"
 ]
 }
 },
 {
 "not" : {
 "CoordinateUncertaintyInMeters" : [
 "is 999"
 ]
 }
 }
 ]
}

 The dataset includes 398483 records from 494 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034498-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112047478
title: Cuneiform Tablet 1913.14.0223, Spurlock 1913.14.0223

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0223; CDLI P420605 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish Gray (10YR 8.5/2) ❧ [Physical Object Note:] 2.8 x 2.7 x 2 cm (18g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.15468/dl.5gs7hg
title: Occurrence Download

description: A dataset containing 151294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Lamium album L."
 ]
}

 The dataset includes 151294 records from 721 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024285-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ypk557
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fargesia edulis Hsueh f. & T.P.Yi"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0378335-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqmkfu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platyhelminthes",
 "DatasetKey is Projet Photovoltaïque Lac de Longchamps - Données brutes faune flore Lac de longchamps",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0219059-230224095556074/datasets/export for details.
DOI: 10.25549/inscriptifact-ouc112048672
title: Cuneiform Tablet 1913.14.1506, Spurlock 1913.14.1506

description: [Text Description:] Account concerning silver, barley, and refined bitumen ❧ [Text or Publication Number Note:] Spurlock 1913.14.1506; CDLI P421358 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/2) Light Brown (5YR 6.5/4) Dark Gray (N 3/ 6.6% R) ❧ [Physical Object Note:] 10.1 x 6.9 x 2.9 cm (213g)