cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.uqqy8b
title: Occurrence Download

description: A dataset containing 2001940598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2001940598 records from 34839 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0175764-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15095980
title: Life Cycle Assessment Data for Energy Production and Storage Technologies

description: This dataset has been developed to provide standardized and harmonized Life Cycle Assessment (LCA) data for key technologies involved in energy production, storage, and conversion. It includes environmental impact indicators for photovoltaic systems, battery and thermal energy storage, hydrogen production and storage technologies, internal combustion engines, boilers, heat pumps, and Organic Rankine Cycles, as well as various energy carriers such as electricity, natural gas, hydrogen, and biomass. The dataset offers normalized values per unit of installed capacity (kW) and operational output (kWh), facilitating the integration of environmental metrics into energy system design and optimization. All data are derived from a comprehensive review of peer-reviewed literature, institutional reports, and LCA databases, ensuring methodological consistency and transparency.
DOI: 10.5281/zenodo.15095981
title: Life Cycle Assessment Data for Energy Production and Storage Technologies

description: This dataset has been developed to provide standardized and harmonized Life Cycle Assessment (LCA) data for key technologies involved in energy production, storage, and conversion. It includes environmental impact indicators for photovoltaic systems, battery and thermal energy storage, hydrogen production and storage technologies, internal combustion engines, boilers, heat pumps, and Organic Rankine Cycles, as well as various energy carriers such as electricity, natural gas, hydrogen, and biomass. The dataset offers normalized values per unit of installed capacity (kW) and operational output (kWh), facilitating the integration of environmental metrics into energy system design and optimization. All data are derived from a comprehensive review of peer-reviewed literature, institutional reports, and LCA databases, ensuring methodological consistency and transparency.
DOI: 10.5281/zenodo.15308814
title: Life Cycle Assessment Data for Energy Production and Storage Technologies

description: This dataset has been developed to provide standardized and harmonized Life Cycle Assessment (LCA) data for key technologies involved in energy production, storage, and conversion. It includes environmental impact indicators for photovoltaic systems, battery and thermal energy storage, hydrogen production and storage technologies, internal combustion engines, boilers, heat pumps, and Organic Rankine Cycles, as well as various energy carriers such as electricity, natural gas, hydrogen, and biomass. The dataset offers normalized values per unit of installed capacity (kW) and operational output (kWh), facilitating the integration of environmental metrics into energy system design and optimization. All data are derived from a comprehensive review of peer-reviewed literature, institutional reports, and LCA databases, ensuring methodological consistency and transparency.
DOI: 10.5281/zenodo.15324175
title: Life Cycle Assessment Data for Energy Production and Storage Technologies

description: This dataset has been developed to provide standardized and harmonized Life Cycle Assessment (LCA) data for key technologies involved in energy production, storage, and conversion. It includes environmental impact indicators for photovoltaic systems, battery and thermal energy storage, hydrogen production and storage technologies, internal combustion engines, boilers, heat pumps, and Organic Rankine Cycles, as well as various energy carriers such as electricity, natural gas, hydrogen, and biomass. The dataset offers normalized values per unit of installed capacity (kW) and operational output (kWh), facilitating the integration of environmental metrics into energy system design and optimization. All data are derived from a comprehensive review of peer-reviewed literature, institutional reports, and LCA databases, ensuring methodological consistency and transparency.
DOI: 10.15468/dl.cc8jm4
title: Occurrence Download

description: A dataset containing 583940 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Metabarcoding of Benthic Marine Communities in Nova Scotia and New Brunswick"
 ]
}

 The dataset includes 583940 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011425-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15384508
title: Discovery of a novel antibiotic class targeting the enolase of Acinetobacter baumannii
DOI: 10.5281/zenodo.15384509
title: Discovery of a novel antibiotic class targeting the enolase of Acinetobacter 2 baumannii
DOI: 10.5281/zenodo.15533882
title: Discovery of a novel antibiotic class targeting the enolase of Acinetobacter baumannii
DOI: 10.15468/dl.zgvab4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Sporobolus ioclados",
 "Geometry POLYGON((29.0 -26.5, 31.5 -26.5, 31.5 -24.5, 29.0 -24.5, 29.0 -26.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004893-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ptstr5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Stipagrostis obtusa",
 "Geometry POLYGON((29.0 -26.5, 31.5 -26.5, 31.5 -24.5, 29.0 -24.5, 29.0 -26.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004895-250525065834625/datasets/export for details.
DOI: 10.15468/dl.stejk2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Stipa dregeana",
 "Geometry POLYGON((29.0 -26.5, 31.5 -26.5, 31.5 -24.5, 29.0 -24.5, 29.0 -26.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004894-250525065834625/datasets/export for details.
DOI: 10.15468/dl.w9v7xb
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Chamaesyce deltoidea pinetorum"
 ]
}

 The dataset includes 40 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081421-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e199083
title: Data and Code for: Moonshot: Public R&D and Growth

description: We
estimate the long-term effect of public R&D on growth in manufacturing by
analyzing new data from the Cold War era Space Race. We develop a novel
empirical strategy that leverages US-Soviet rivalry in space technology to
isolate windfall R&D spending. Our results demonstrate that public R&D
conducted by NASA contractors increased manufacturing value added, employment,
and capital accumulation in space related sectors. While migration responses
were important, they were not sufficient to generate a wedge between local and
national effects. The iconic Moonshot R&D program had only modest economic
effects for both the local and national space-related sectors.<br>
description: Manufacturing census, industry-county level;<br>. Smallest Geographic Unit: County
DOI: 10.3886/e199083v1
title: Data and Code for: Moonshot: Public R&D and Growth

description: We
estimate the long-term effect of public R&D on growth in manufacturing by
analyzing new data from the Cold War era Space Race. We develop a novel
empirical strategy that leverages US-Soviet rivalry in space technology to
isolate windfall R&D spending. Our results demonstrate that public R&D
conducted by NASA contractors increased manufacturing value added, employment,
and capital accumulation in space related sectors. While migration responses
were important, they were not sufficient to generate a wedge between local and
national effects. The iconic Moonshot R&D program had only modest economic
effects for both the local and national space-related sectors.<br>
description: Manufacturing census, industry-county level;<br>. Smallest Geographic Unit: County
DOI: 10.15468/dl.8su3xs
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malayopython reticulatus",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081419-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6g3993
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polystachya campyloglossa Rolfe"
 ]
}

 The dataset includes 59 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092731-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hukjx
title: Occurrence Download

description: A dataset containing 20896 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clitellata",
 "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))",
 "Year is greater than or equal to 1973",
 "Year is less than or equal to 1982"
 ]
}

 The dataset includes 20896 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0260770-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qefzkp
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polystachya bipoda Stévart"
 ]
}

 The dataset includes 31 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092715-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwgj4z
title: Occurrence Download

description: A dataset containing 20896 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clitellata",
 "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))",
 "Year is greater than or equal to 1973",
 "Year is less than or equal to 1982"
 ]
}

 The dataset includes 20896 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0260771-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rkqzk3
title: Occurrence Download

description: A dataset containing 2005248417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2005248417 records from 34938 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0187405-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/bya-kn0-d96
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w6j-7na-thj
title: Martinottiella primaeva (Cushman, 1913)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4wm-awa-tmg
title: Apodemus sylvaticus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5sz-01n-ak0
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/335-w7w-s7z
title: Eucytherura (Eucytherura) Müller, 1894

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f2k-2dw-lg7
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.4cnev6
title: Occurrence Download

description: A dataset containing 9512482 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9512482 records from 3120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022298-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13904603
title: SeagrassFinder: An Underwater Eelgrass Image Classification Dataset

description: This dataset is published as part of the publishing of the paper “SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild” in the Journal Ecological Informatics. The dataset is created as a machine learning dataset for training computer vision models to classify the presence of eelgrass. 

This dataset was created by the main author Jannik Elsäßer as part of his bachelor's thesis. The original video transect data in this dataset comes from DHI A/S work providing By og Havn a “Summer Status” report on the maritime environmental impacts of the Lynetteholm project. More information on the project and the report is available here: https://byoghavn.dk/mediebibliotek/lynetteholm-sommerstatus-2023/The dataset consists of underwater images taken on a sled, dragged through the water by a survey vessel. The camera used is a Subsea HD-Camera made by LH-Camera. Images were created by taking 5 video frames each second, and then randomly sampling. Each image is labeled True or False for eelgrass presence. In total, the dataset consists of 8500 images from 6 different transects, with 4482 images containing eelgrass, and 4042 images not containing eelgrass. All images have been annotated by a both domain-experts, and non-domain experts. Images were annotated using a uniform sampling process. In the occurrence of any disagreement between annotators, images have been removed from the dataset. For more information on the dataset creation, please refer to the corresponding paper.

We recommend using one transect as a test dataset, and not using a random split of all images to create the test dataset. When using a random split of all images, a form of data leakage occurs, since some images can be very similar to other images.

An unfortunate limitation, we believe caused by the compression of the videos in the camera system, is some frames contain an echo or form of motion trail. This can lead to ghost like eelgrass features in some frames. This should be taken into consideration when applying the dataset in future locations.
DOI: 10.5281/zenodo.13904604
title: SeagrassFinder: An Underwater Eelgrass Image Classification Dataset

description: This dataset is published as part of the publishing of the paper “SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild” in the Journal Ecological Informatics. The dataset is created as a machine learning dataset for training computer vision models to classify the presence of eelgrass. 

This dataset was created by the main author Jannik Elsäßer as part of his bachelor's thesis. The original video transect data in this dataset comes from DHI A/S work providing By og Havn a “Summer Status” report on the maritime environmental impacts of the Lynetteholm project. More information on the project and the report is available here: https://byoghavn.dk/mediebibliotek/lynetteholm-sommerstatus-2023/The dataset consists of underwater images taken on a sled, dragged through the water by a survey vessel. The camera used is a Subsea HD-Camera made by LH-Camera. Images were created by taking 5 video frames each second, and then randomly sampling. Each image is labeled True or False for eelgrass presence. In total, the dataset consists of 8500 images from 6 different transects, with 4482 images containing eelgrass, and 4042 images not containing eelgrass. All images have been annotated by a both domain-experts, and non-domain experts. Images were annotated using a uniform sampling process. In the occurrence of any disagreement between annotators, images have been removed from the dataset. For more information on the dataset creation, please refer to the corresponding paper.

We recommend using one transect as a test dataset, and not using a random split of all images to create the test dataset. When using a random split of all images, a form of data leakage occurs, since some images can be very similar to other images.

An unfortunate limitation, we believe caused by the compression of the videos in the camera system, is some frames contain an echo or form of motion trail. This can lead to ghost like eelgrass features in some frames. This should be taken into consideration when applying the dataset in future locations.
DOI: 10.15468/dl.rr9eta
title: Occurrence Download

description: A dataset containing 1065620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Romania",
 "Geometry POLYGON((7.85277 38.74421,44.14723 38.74421,44.14723 53.25579,7.85277 53.25579,7.85277 38.74421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1065620 records from 576 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015749-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.16909/dataset/46
title: SCOHPICA - Swiss Cohort of Healthcare Professionals and Informal Caregivers : healthcare professionals part

description: The Swiss health system faces several challenges: aging population, increasing prevalence of chronic diseases, health workforce shortages and increasing health costs. Healthcare professionals and informal caregivers play critical roles in health systems, yet recent publications have highlighted continuing health workforce shortages, difficult working conditions, growing mental and physical strains, early exits from the profession, lack of good quality and comprehensive data, precluding appropriate monitoring and management of the health workforce. Establishing favorable conditions for the sustained engagement of healthcare professionals (HCPs) is essential for a resilient and high-performing healthcare system. Switzerland lacks comprehensive and longitudinal data to guide such efforts. The Swiss COhort of Healthcare Professionals and Informal CAregivers (SCOHPICA) seeks to fill this gap, producing knowledge that will support evidence-informed health workforce policies and initiatives. The main objectives of the HCPs part of SCOHPICA (SCOHPICA-HCPs) are to understand the career trajectories, wellbeing and lived experiences of HCPs to identify the conditions and circumstances that influence their intention to stay in the health sector. By observing determinants over time, SCOHPICA-HCPs will provide insights into creating optimal conditions for professional practice. This national cohort includes a wide range of HCPs (e.g. general practitioners, specialists, nurses, pharmacists, paramedical staff, support workers, etc.) from various health sectors —including inpatient, outpatient, community, and homecare, and practicing in a variety of settings, irrespective of their working status. By considering a mixed-methods approach, gathering quantitative and qualitative data through instruments such as annual online surveys, life calendars, and focus group discussions, SCOHPICA will allow an in-depth analysis of the elements influencing intention to stay and well-being. Through long-term longitudinal follow-up of career trajectories, wellbeing, socio-demographic and socio-professional characteristics as well as factors contributing to sustained engagement or attrition, SCOHPICA will be able to generate practical recommendations to enhance the health and sustainability of the healthcare workforce.
DOI: 10.15468/dl.4jkga4
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Distribution of Undaria pinnatifida along the Atlantic coast of the Iberian Peninsula in 2024"
 ]
}

 The dataset includes 42 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015756-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcedsg
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is one of (Poland, Romania)",
 "TaxonKey is Alnus alnobetula subsp. alnobetula"
 ]
}

 The dataset includes 120 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015757-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pcu6j5
title: Occurrence Download

description: A dataset containing 2494 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cerastium regelii Ostenf."
 ]
}

 The dataset includes 2494 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0278886-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6uqxtz
title: Occurrence Download

description: A dataset containing 14124 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stellaria longipes Goldie"
 ]
}

 The dataset includes 14124 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0269193-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.