cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0135236.10fu
title: SH0135236.10FU

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: 10.13145/bacdive147210.20241212.9.2
title: Bordetella pertussis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive147210.20251217.10
title: Bordetella pertussis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0135237.10fu
title: SH0135237.10FU

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: 10.13145/bacdive147211.20250331.9.3
title: Campylobacter jejuni (Jones et al. 1931) Véron and Chatelain 1973

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive147211.20251217.10
title: Campylobacter jejuni (Jones et al. 1931) Véron and Chatelain 1973

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0135238.10fu
title: SH0135238.10FU

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.3qx23h
title: Occurrence Download

description: A dataset containing 1141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clerodendrum quadriloculare)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1141 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005892-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9w13x0o
title: Compilation of the salient characteristics of numerical groundwater-flow and solute- and heat-transport models published or developed by the U.S. Geological Survey for regions in the U.S. and its territories and commonwealths, 1970 through 2022 (ver. 2.0, March 2025)

description: The U.S. Geological Survey (USGS) National Extent Hydrogeologic Framework for National Water Census (NEHF) project is a multi-year effort (2022 through 2025) that will compile existing assets (approaches, data, software, etc.), develop a strategic plan, and implement an operational framework that is dynamic and multi-scale. Within the USGS, numerical groundwater-flow and solute- and heat-transport models have been created for a variety of purposes that include water-resource assessments, contaminant-transport evaluations, and water-management planning. These models are often supported by hydrogeologic-framework studies that describe the surface and subsurface distribution of geologic materials and their hydrologic properties. This digital data release was developed as part of the NEHF project to compile, in tabular and spatial form, information on the salient characteristics of numerical groundwater-flow and solute- and heat-transport models published or developed by the USGS for regions in the U.S. and its territories and commonwealths from the date of the earliest published model, 1970, through 2022. Version 2.0 of this data release adds spatial information on the structural and hydrologic properties of a subset of the models.

This data release includes six files:
GroundwaterFlowModelsMetadata.xml is the metadata describing the purpose, creation, and other files included in the data release.
GroundwaterFlowModelsWSC.csv is a tabular comma-separated-values file that compiles information on the salient characteristics of the models included in this data release.
GroundwaterFlowModelsOnline.csv is a tabular comma-separated-values file that compiles information on additional salient characteristics of a subset of the models included in this data release. This subset of models consists of those that have model files available online and have an approximate plan-view extent of active model area greater than 10,000 square kilometers.
GroundwaterFlowModelExtents.zip is a zip file containing a shapefile of the inactive and active areas, or active area, of the models as polygon features. 63 models were not represented with a polygon feature because of a lack of spatial information or because the models were one-dimensional or two-dimensional cross sections with a minimal plan view areal extent.
GroundwaterFlowModelGrids.zip is a zip file containing shapefiles of model grids with the structural (layer elevations, active/inactive grid cells, and initial water levels) and hydrologic (hydraulic conductivity and storage) properties. 241 models were included for which digital model files were available and able to be read and processed by FloPy.
version_history.txt is a text file that describes the changes that have been made and includes instructions on how to access previous versions.
DOI: 10.5281/zenodo.13340845
title: Dataset for Super-Resolution Image Reconstruction based on Random-coupled Neural Network and EDSR

description: This dataset folder contains the DIV2K public dataset, which is utilized for model training and comprises 900 high-quality, high-resolution images along with their corresponding low-resolution versions. Additionally, all pre-trained models used in the experiment and their associated test results are publicly available.

The main directory is organized into two subfolders: one labeled "dataset," which houses the DIV2K dataset, and another named "Model_results," which contains the pre-trained models and their corresponding test outcomes. The Dataset folder includes the original DIV2K dataset (referred to as "DIV2K") as well as a channel-expanded dataset processed by the RCNN model (designated as "DIV2K-RCNN"). Within the Model_results folder, the Model_trained subfolder contains all pre-trained models employed during the experiment, while the Test_results subfolder holds the test results for each model.
description: This dataset is for the GitHub project: https://github.com/HaoranLiu507/EDSR-RCNN
DOI: 10.5281/zenodo.13340844
title: Dataset for Super-Resolution Image Reconstruction based on Random-coupled Neural Network and EDSR

description: This dataset folder contains the DIV2K public dataset, which is utilized for model training and comprises 900 high-quality, high-resolution images along with their corresponding low-resolution versions. Additionally, all pre-trained models used in the experiment and their associated test results are publicly available.

The main directory is organized into two subfolders: one labeled "dataset," which houses the DIV2K dataset, and another named "Model_results," which contains the pre-trained models and their corresponding test outcomes. The Dataset folder includes the original DIV2K dataset (referred to as "DIV2K") as well as a channel-expanded dataset processed by the RCNN model (designated as "DIV2K-RCNN"). Within the Model_results folder, the Model_trained subfolder contains all pre-trained models employed during the experiment, while the Test_results subfolder holds the test results for each model.
description: This dataset is for the GitHub project: https://github.com/HaoranLiu507/EDSR-RCNN
DOI: 10.5281/zenodo.14921818
title: Dataset for Super-Resolution Image Reconstruction based on Random-coupled Neural Network and EDSR

description: This dataset folder contains the DIV2K public dataset, which is utilized for model training and comprises 900 high-quality, high-resolution images along with their corresponding low-resolution versions. Additionally, all pre-trained models used in the experiment and their associated test results are publicly available.

The main directory is organized into two subfolders: one labeled "dataset," which houses the DIV2K dataset, and another named "Model_results," which contains the pre-trained models and their corresponding test outcomes. The Dataset folder includes the original DIV2K dataset (referred to as "DIV2K") as well as a channel-expanded dataset processed by the RCNN model (designated as "DIV2K-RCNN"). Within the Model_results folder, the Model_trained subfolder contains all pre-trained models employed during the experiment, while the Test_results subfolder holds the test results for each model.
description: This dataset is for the GitHub project: https://github.com/HaoranLiu507/EDSR-RCNN
DOI: 10.3886/e224422
title: State Summaries_Alabama | Department of Veterans Affairs Open Data Portal

description: This project includes a pdf capture of a webpage and the underlying data for the visualizations.<br>State Summaries capture major facts about the Veteran population, including gender, age, population projections etc., and VA's presence in each state, including facilities and expenditures. The reports are produced by VA's National Center for Veterans Analysis and Statistics.
DOI: 10.3886/e224422v1
title: State Summaries_Alabama | Department of Veterans Affairs Open Data Portal

description: This project includes a pdf capture of a webpage and the underlying data for the visualizations.<br>State Summaries capture major facts about the Veteran population, including gender, age, population projections etc., and VA's presence in each state, including facilities and expenditures. The reports are produced by VA's National Center for Veterans Analysis and Statistics.
DOI: 10.5066/p1sxuomy
title: Growth of Cisco and Bloater Under Hatchery Conditions 2012-2019

description: Cisco and Bloater growth data from hatchery reared fish were collected in association with a project to repopulate Lake Ontario native prey species. Fish were grown and measured under hatchery conditions for up to nine months before being released into Lake Ontario. Weekly measurements of total length, total weight, and morphometrics were recorded for both species to determine growth during their first year of growth for eight separate year-classes, 2012-2019.
DOI: 10.5258/soton/d3436
title: Dataset for research article: New capability in autonomous ocean carbon observations using the Autosub Long-Range AUV equipped with novel pH and Total Alkalinity sensors

description: Dataset supports: Hammermeister et al. New capability in autonomous ocean carbon observations using the Autosub Long-Range AUV equipped with novel pH and Total Alkalinity sensors Environmental Science & Technology 2025
DOI: 10.15468/dl.a9em4e
title: Occurrence Download

description: A dataset containing 652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Leopardus wiedii (Schinz, 1821)"
 ]
}

 The dataset includes 652 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003889-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8q93a
title: Occurrence Download

description: A dataset containing 494 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gonioctena intermedia (Helliesen, 1913)"
 ]
}

 The dataset includes 494 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003888-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fw8wa2
title: Occurrence Download

description: A dataset containing 18177 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Other Mammal Data from National Dormouse Monitoring Programme (NDMP)"
 ]
}

 The dataset includes 18177 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003890-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p95kvygg
title: Bottom Trawl Catch Alewife Densities and Ages in Lakes Michigan and Huron

description: This data release provides catch-per-unit-effort (CPUE) data by age-class for alewife (Alosa pseudoharengus) based on bottom trawl surveys from Lake Michigan (1973-2022) or Lake Huron (1976-2004). These data are associated with a study that sought to evaluate whether alewife populations across the Great Lakes are synchronous in their time series.
DOI: 10.5066/p97dz1as
title: Lake Ontario April Prey Fish Bottom Trawl Survey, 1978-2022

description: This data release includes Lake Ontario prey fish data including species captured, relative abundance, spatial distribution, size structure, and age data from the April or spring prey fish bottom trawl survey, 1978 through 2022. Data from 1978 - 2015 are from U.S. waters of Lake Ontario while data from 2016 - 2022 include both U.S. and Canadian waters of Lake Ontario. Details about the vessel and gear descriptions, sampling protocols, and catch processing protocols are provided in the associated metadata. Portions of this data release follows the data model of the USGS Great Lakes Science Center Research Vessel Catalog (RVCAT). The trawl data included in this data release are a subset of the larger RVCAT data base. The RVCAT data can be found here: https://doi.org/10.5066/F75M63X0.
DOI: 10.5066/p9lfed8g
title: Lake Ontario April Prey Fish Bottom Trawl Survey, 1978-2023

description: This data release includes Lake Ontario prey fish data including species captured, relative abundance, spatial distribution, size structure, and age data from the April or spring prey fish bottom trawl survey, 1978 through 2023. Data from 1978 - 2015 are from U.S. waters of Lake Ontario while data from 2016 - 2023 include both U.S. and Canadian waters of Lake Ontario. Details about the vessel and gear descriptions, sampling protocols, and catch processing protocols are provided in the associated metadata.
DOI: 10.15468/dl.9t33mj
title: Occurrence Download

description: A dataset containing 243888 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ranunculus acris L.",
 "Country is France"
 ]
}

 The dataset includes 243888 records from 2236 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003871-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112029747
title: Cuneiform Tablet 1913.14.1520, Spurlock 1913.14.1520

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1520; CDLI P421372 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 4.4 x 2.9 x 1.7 cm (19 g)
DOI: 10.15468/dl.sxmhtg
title: Occurrence Download

description: A dataset containing 73309 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tilia platyphyllos Scop."
 ]
}

 The dataset includes 73309 records from 580 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093987-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112029598
title: Cuneiform Tablet 1913.14.1520, Spurlock 1913.14.1520

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1520; CDLI P421372 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 4.4 x 2.9 x 1.7 cm (19 g)
DOI: 10.15468/dl.xgzsbv
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Characidium laterale Eigenmann, 1909"
 ]
}

 The dataset includes 68 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070420-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gf8jr5
title: Occurrence Download

description: A dataset containing 4578 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scotorepens balstoni (Thomas, 1906)"
 ]
}

 The dataset includes 4578 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053090-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxm6z9
title: Occurrence Download

description: A dataset containing 346221 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Côte d’Ivoire"
 ]
}

 The dataset includes 346221 records from 462 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056702-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112029749
title: Cuneiform Tablet 1913.14.1520, Spurlock 1913.14.1520

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1520; CDLI P421372 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 4.4 x 2.9 x 1.7 cm (19 g)
DOI: 10.25549/inscriptifact-ouc112029603
title: Cuneiform Tablet 1913.14.1520, Spurlock 1913.14.1520

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1520; CDLI P421372 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 4.4 x 2.9 x 1.7 cm (19 g)
DOI: 10.15468/dl.qz27fp
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.36096 4.54357,-74.70154 4.68593,-74.98718 4.41214,-74.63562 4.1492,-74.36096 4.54357))",
 "TaxonKey is Spinus psaltria (Say, 1822)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 119 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070454-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6r44p6
title: Occurrence Download

description: A dataset containing 757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Côte d’Ivoire",
 "TaxonKey is Cyprinidae"
 ]
}

 The dataset includes 757 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056706-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mdzhb
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anchoa trinitatis (Fowler, 1915)"
 ]
}

 The dataset includes 117 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053133-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112029818
title: Cuneiform Tablet 1913.14.1520, Spurlock 1913.14.1520

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1520; CDLI P421372 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 4.4 x 2.9 x 1.7 cm (19 g)
DOI: 10.25549/inscriptifact-ouc112028618
title: Cuneiform Tablet 1913.14.1513, Spurlock 1913.14.1513

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1513; CDLI P421365 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/2) ❧ [Physical Object Note:] 4.9 x 3 x 1.7 cm (27 g)
DOI: 10.15468/dl.fkuqsn
title: Occurrence Download

description: A dataset containing 11637 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Invasive species - American bullfrog (Lithobates catesbeianus) in Flanders, Belgium"
 ]
}

 The dataset includes 11637 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070432-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.