cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc111331286
title: Wycliffite New Testament, MS.000340

description: [Text Description:] New Testament translation by John Wycliffe ❧ [Text or Publication Number Note:] MS.000340 ❧ [Medium:] Parchment ❧ [Script Note:] Gothic ❧ [Physical Object Description:] 218 folios; 9 x 6.1 x 3.1 in. (22.9 x 15.5 x 8 cm) ❧ [Physical Object Note:] Vellum with ink. Two columns of 36 lines, visible ruler lines. Leather binding with brass corner pieces and center bosses, letters "A C" stamped on either side. ❧ [Physical Object Note:] Illuminated initials in burnished gold at beginning of each book of the New Testament.
DOI: 10.15468/dl.6hnwf3
title: Occurrence Download

description: A dataset containing 46352 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Staphyleaceae)"
 ]
}

 The dataset includes 46352 records from 636 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0161598-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111331288
title: Wycliffite New Testament, MS.000340

description: [Text Description:] New Testament translation by John Wycliffe ❧ [Text or Publication Number Note:] MS.000340 ❧ [Medium:] Parchment ❧ [Script Note:] Gothic ❧ [Physical Object Description:] 218 folios; 9 x 6.1 x 3.1 in. (22.9 x 15.5 x 8 cm) ❧ [Physical Object Note:] Vellum with ink. Two columns of 36 lines, visible ruler lines. Leather binding with brass corner pieces and center bosses, letters "A C" stamped on either side. ❧ [Physical Object Note:] Illuminated initials in burnished gold at beginning of each book of the New Testament.
DOI: 10.15468/dl.4f55ch
title: Occurrence Download

description: A dataset containing 1827 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "Year 2000-2019",
 "Geometry POLYGON((-7.58661 42.52945,-7.82391 42.49869,-7.97772 42.69424,-8.24139 42.7338,-8.37103 42.54263,-8.14471 42.27676,-8.22382 42.18008,-8.10956 42.05484,-8.20844 41.90543,-8.12054 41.81094,-7.90521 41.88785,-7.591 41.85489,-7.58661 42.52945))",
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1827 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064493-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyb7gu
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arnoglossus macrolophus Alcock, 1889"
 ]
}

 The dataset includes 108 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037328-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gk86d3
title: Occurrence Download

description: A dataset containing 48686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1960-1990",
 "Geometry POLYGON((-180 -21,180 -21,180 -19,-180 -19,-180 -21))",
 "HasCoordinate is true",
 "TaxonKey is Insecta",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 48686 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073771-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wu3yr7
title: Occurrence Download

description: A dataset containing 1574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pterois miles (Bennett, 1828)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 1574 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044157-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjkwqn
title: Occurrence Download

description: A dataset containing 77664 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Larrea tridentata (DC.) Coult."
 ]
}

 The dataset includes 77664 records from 227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044153-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ejz6f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ulmus pumila Walter"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044158-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.14055243
title: Plasticulture detection at the country scale by combining multispectral and SAR satellite data

description: The dataset provides access to a Google Earth Engine workflow for the detection of plastic-covered farmlands (plasticulture) with Sentinel-1&2 satellite data. The dataset also provides access to the training data used for detecting plastic covers in Germany in 2020 and to the results of the classification. The results are presented as hexagonal shapefiles containing the area of detected plastic covers.
description: The data is split into 4 parts:

Part 1 – Regions for training plasticulture detection: the shapefile contains polygonal areas collected in Western Germany and used to train a random forest algorithm for plasticulture detection. The data is stored in file ESR02_11.zip while meta data can be found in ESR02_11.pdf.

Part 2 – Google Earth Engine scripts for plasticulture detection: the folder contains 5 Jupyter Notebook files, representing the scripts used to detect plasticulture in Germany, and to export and evaluate the results. The data is stored in file ESR02_12.zip while meta data can be found in ESR02_12.pdf.

Part 3 – Plasticulture area in Germany on a hexagonal grid: the shapefile contains a hexagonal grid covering the German territory, where the area covered by plastic free farmland, plastic mulched farmland, and plastic covers above vegetation was calculated for each hexagon. The data is stored in file ESR02_13.zip while meta data can be found in ESR02_13.pdf.

Part 4 – Plasticulture area in Germany on a hexagonal grid - false hotspots unmasked: the shapefile contains a hexagonal grid covering the German territory, where the area covered by plastic free farmland, plastic mulched farmland, and plastic covers above vegetation was calculated for each hexagon, before identifying the regions of false plastic detection. The data is stored in file ESR02_14.zip while meta data can be found in ESR02_14.pdf.
DOI: 10.5281/zenodo.14055244
title: Plasticulture detection at the country scale by combining multispectral and SAR satellite data

description: The dataset provides access to a Google Earth Engine workflow for the detection of plastic-covered farmlands (plasticulture) with Sentinel-1&2 satellite data. The dataset also provides access to the training data used for detecting plastic covers in Germany in 2020 and to the results of the classification. The results are presented as hexagonal shapefiles containing the area of detected plastic covers.
description: The data is split into 4 parts:

Part 1 – Regions for training plasticulture detection: the shapefile contains polygonal areas collected in Western Germany and used to train a random forest algorithm for plasticulture detection. The data is stored in file ESR02_11.zip while meta data can be found in ESR02_11.pdf.

Part 2 – Google Earth Engine scripts for plasticulture detection: the folder contains 5 Jupyter Notebook files, representing the scripts used to detect plasticulture in Germany, and to export and evaluate the results. The data is stored in file ESR02_12.zip while meta data can be found in ESR02_12.pdf.

Part 3 – Plasticulture area in Germany on a hexagonal grid: the shapefile contains a hexagonal grid covering the German territory, where the area covered by plastic free farmland, plastic mulched farmland, and plastic covers above vegetation was calculated for each hexagon. The data is stored in file ESR02_13.zip while meta data can be found in ESR02_13.pdf.

Part 4 – Plasticulture area in Germany on a hexagonal grid - false hotspots unmasked: the shapefile contains a hexagonal grid covering the German territory, where the area covered by plastic free farmland, plastic mulched farmland, and plastic covers above vegetation was calculated for each hexagon, before identifying the regions of false plastic detection. The data is stored in file ESR02_14.zip while meta data can be found in ESR02_14.pdf.
DOI: 10.15468/dl.4ua6wg
title: Occurrence Download

description: A dataset containing 15104871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 15104871 records from 356 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019051-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14418558
title: Plastic detection in German and Spanish agricultural soil

description: The dataset contains measurements of the total amount of plastic visually detected in agricultural soils from Germany and Spain.
description: The data is split into 2 parts:

Part 1 –   Plastic amount in German agricultural soil: The total amount of plastic visually found in German agricultural soil. The data is stored in file ESR06_21.csv, while metadata can be found in ESR06_21.docx.

Part 2 –   Plastic amount in Spanish agricultural soil: The total amount of plastic visually found in Spanish agricultural soil. The data is stored in file ESR06_22.csv, while metadata can be found in ESR06_22.docx.
DOI: 10.5281/zenodo.14418559
title: Plastic detection in German and Spanish agricultural soil

description: The dataset contains measurements of the total amount of plastic visually detected in agricultural soils from Germany and Spain.
description: The data is split into 2 parts:

Part 1 –   Plastic amount in German agricultural soil: The total amount of plastic visually found in German agricultural soil. The data is stored in file ESR06_21.csv, while metadata can be found in ESR06_21.docx.

Part 2 –   Plastic amount in Spanish agricultural soil: The total amount of plastic visually found in Spanish agricultural soil. The data is stored in file ESR06_22.csv, while metadata can be found in ESR06_22.docx.
DOI: 10.15468/dl.x43q9g
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aetomylaeus bovinus (Geoffroy Saint-Hilaire, 1817)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 91 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044160-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14419186
title: Effects of biodegradable mulch film on soil erosion, surface runoff, and plastic transport

description: The dataset contains measurements of sediment weight, runoff volume, and the amounts of plastic in sediment and soil composite samples, to evaluate the impact of biodegradable mulch film on soil erosion, surface runoff, and plastic transport.
description: The data is split into 4 parts:

Part 1 –   Sediment weight: The sediment weight and time of sample collection of all rainfall simulation sediment samples. The data is stored in file ESR06_31.csv, while metadata can be found in ESR06_31.docx.

Part 2 –   Runoff volume: The runoff volume and time of sample collection of all rainfall simulation sediment samples. The data is stored in file ESR06_32.csv, while metadata can be found in ESR06_32.docx.

Part 3 –   Plastic amount on sediment samples: Plastic and soil amount from sediment samples from each plot. The data is stored in file ESR06_33.csv, while metadata can be found in ESR06_33.docx.

Part 4 –   Plastic amount on soil composite samples: Plastic and soil amount of soil composite samples from each plot. The data is stored in file ESR06_34_.csv, while metadata can be found in ESR06_34.docx.
DOI: 10.5281/zenodo.14419187
title: Effects of biodegradable mulch film on soil erosion, surface runoff, and plastic transport

description: The dataset contains measurements of sediment weight, runoff volume, and the amounts of plastic in sediment and soil composite samples, to evaluate the impact of biodegradable mulch film on soil erosion, surface runoff, and plastic transport.
description: The data is split into 4 parts:

Part 1 –   Sediment weight: The sediment weight and time of sample collection of all rainfall simulation sediment samples. The data is stored in file ESR06_31.csv, while metadata can be found in ESR06_31.docx.

Part 2 –   Runoff volume: The runoff volume and time of sample collection of all rainfall simulation sediment samples. The data is stored in file ESR06_32.csv, while metadata can be found in ESR06_32.docx.

Part 3 –   Plastic amount on sediment samples: Plastic and soil amount from sediment samples from each plot. The data is stored in file ESR06_33.csv, while metadata can be found in ESR06_33.docx.

Part 4 –   Plastic amount on soil composite samples: Plastic and soil amount of soil composite samples from each plot. The data is stored in file ESR06_34_.csv, while metadata can be found in ESR06_34.docx.
DOI: 10.15468/dl.ecpyrk
title: Occurrence Download

description: A dataset containing 5502 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Larrea tridentata (DC.) Coville"
 ]
}

 The dataset includes 5502 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044161-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/5cklyl
title: fractionation_data.zip

description: XIC and spectral count data from a fractionation experiment
DOI: 10.57745/jpfjfv
title: filled_metadata.ods

description: metadata
DOI: 10.15468/dl.n59zes
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ulmus pumila Planch."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044162-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.14419123
title: Pot experiment on impacts of Microplastics on plant-associated microbiome

description: This dataset encompasses various measurements and parameters related to the growth and development of cotton plants, including plant height, fresh weight, stem diameter, number of leaves and flowers, soil pH, electrical conductivity, and soil respiration.
description: The data is split into 7 parts:

Part 1 – Plant height measurements over time: The dataset includes information on the plant height of cotton plants during each growth cycle, measured at 20,30, 60 and 90 days after planting. The data is stored in ESR09_21.csv while the meta data can be found in ESR09_21.pdf

Part 2 – Aerial fresh weight measurements: The dataset includes information on the fresh weight of cotton plants during each growth cycle, measured at 90 days after planting. The data is stored in ESR09_22.csv while the meta data can be found in ESR09_22.pdf

Part 3 – Stem diameter measurements: The dataset includes information on the stem diameter of cotton plants during each growth cycle, measured at 90 days after planting. The data is stored in ESR09_23.csv while meta data can be found in ESR09_23.pdf

Part 4 – Number of leaves: The dataset includes information on the number of leaves of cotton plants during each growth cycle, counted at 30,60 and 90 days after planting. The data is stored in ESR09_24.csv while meta data can be found in ESR09_24.pdf

Part 5 – Number of flowers: The dataset includes information on the number of flowers of cotton plants during each growth cycle, counted at 90 days after planting. The data is stored in ESR09_25.csv while meta data can be found in ESR09_25.pdf

Part 6 – Soil pH and electrical conductivity: The dataset includes information on the soil pH and electrical conductivity, measured by the end of each growth cycle. The data is stored in ESR09_26.csv while meta data can be found in ESR09_26.pdf

Part 7 – Soil respiration: The dataset includes information on the soil respiration of each treatment, measured by the end of the last growth cycle. The data is stored in ESR09_27.csv while meta data can be found in ESR09_27.pdf
DOI: 10.15468/dl.b6jj46
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pteroplatytrygon violacea (Bonaparte, 1832)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 89 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044163-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtss4f
title: Occurrence Download

description: A dataset containing 189836 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus nigra J.F.Arnold"
 ]
}

 The dataset includes 189836 records from 1123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044148-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/e5u9u3
title: Replication data for: Rationalizing Backsliding: Internment in Northern Ireland

description: How do liberal democracies rationalize decisions to violate rights during emergencies, and what does this reveal about democratic backsliding? Democracies around the world are exhibiting evidence of backsliding from the democratic institutions that constrain elected officials’ power and protect civil liberties. Although officials often present rights violations as necessary during a national security emergency, these violations could be privately motivated by alternative objectives. Unfortunately, private motivations are not easily observable for analysis. We leverage a declassified archive collection of government correspondence files to examine how British officials decided to initiate internment without trial amid the unraveling security crisis in Northern Ireland (1971). The archives reveal that key officials' private motivations diverged from Britain's public explanations and from the conditions established by human rights norms for emergency-based rights violations. Instead, political motivations shaped a purportedly apolitical process and then were deliberately removed from the public record. Meanwhile, expert officials questioned internment's legality and whether internment would meaningfully address the security threats. This evidence challenges the defensibly of Britain's actions and suggests that internment in Northern Ireland constituted an episode of backsliding from Britain's human rights commitments. Such rights violations do not exist in isolation but often enable future democratic erosion.
description: For additional information about the broader project, see: "Analyzing Archived Government Correspondence Files (1969-73): Internment in Northern Ireland," available at: https://dataverse.harvard.edu/dataverse/dreier-gade-internment-ni.
DOI: 10.25574/29216
title: Chandra X-ray Observatory ObsId 29216

description: Unveiling the connection between AGN and massive gas reservoirs in protoclusters
DOI: 10.25574/29217
title: Chandra X-ray Observatory ObsId 29217

description: Unveiling the connection between AGN and massive gas reservoirs in protoclusters
DOI: 10.25574/29218
title: Chandra X-ray Observatory ObsId 29218

description: Cluster temperature profiles at high-z from resolved SZ and X-ray measurements
DOI: 10.25574/29429
title: Chandra X-ray Observatory ObsId 29429

description: G0.17-0.41: Evidence for interstellar magnetic reconnection in the Galactic center?
DOI: 10.6084/m9.figshare.30468497
title: Data representing tree attributes at 30 years of age

description: The dataset contains field measurements of 30-year-old individual trees collected from different types of urban green space, including parks, residential areas and roadside areas.
DOI: 10.6084/m9.figshare.30468497.v1
title: Data representing tree attributes at 30 years of age

description: The dataset contains field measurements of 30-year-old individual trees collected from different types of urban green space, including parks, residential areas and roadside areas.
DOI: 10.25574/29468
title: Chandra X-ray Observatory ObsId 29468

description: Searching for Pulsating Neutron Stars Inside the Globular Cluster M28
DOI: 10.5281/zenodo.17056061
title: MCR-SL: A Multimodal, Context-Rich Skin Lesion Dataset for Skin Cancer Diagnosis

description: Well-annotated datasets are fundamental for developing robust artificial intelligence models, particularly in medical fields. Many existing skin lesion datasets have limitations in image diversity (including only clinical or dermoscopic images) or metadata, which hinder their utility for mimicking real-world clinical practice. The purpose of the MCR-SL dataset is to introduce a new, meticulously curated dataset that addresses these limitations. The MCR-SL dataset was collected from 60 subjects at the University Hospital of North Norway and comprises 779 clinical images and 1,352 dermoscopic images of 240 unique lesions. The lesion types included are nevus, seborrheic keratosis, basal cell carcinoma, actinic keratosis, atypical nevus, melanoma, squamous cell carcinoma, angioma, and dermatofibroma. Labels were established by combining the consensus of a panel of four dermatologists with histopathology reports for the 29 excised lesions, with the latter serving as the gold standard. The resulting dataset provides a comprehensive resource with clinical and dermoscopic images and rich clinical context, ensuring a high level of clinical relevance, surpassing many existing resources in that matter. The MCR-SL dataset provides a holistic and reliable foundation for validating artificial intelligence models, enabling a more nuanced and clinically relevant approach to automated skin lesion diagnosis that mirrors real-world clinical practice.