cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35097/tvn5vujqfvf99f32
title: Parking2PV Hesse

description: This dataset provides a geospatial classification of large parking lots (greater than 900 m²) in the federal state of Hesse, Germany, evaluating their suitability for photovoltaic (PV) installations.

The parking lot geometries were derived from two authoritative and open sources: the Authoritative Topographic-Cartographic Information System (ATKIS) and OpenStreetMap (OSM). Duplicates were removed, and the geometries were trimmed to match the boundaries of Hesse. Parking lots smaller than 900 m² were excluded to align with current policy guidelines and technical feasibility thresholds for PV canopy installations.

Each parking lot was classified into one of two categories employing machine learning. Class 0 indicates parking lots unsuitable for PV, while Class 1 designates those suitable for PV installations. The classification utilized an XGBoost model trained on more than 1,000 manually labeled parking lots using various input features.
description: This dataset is formatted as a GeoPackage (.gpkg) and contains a layer named "prediction". It is set within the ETRS89 / UTM Zone32N coordinate reference system (EPSG code specified). The dataset includes two key attributes: (a) "id" as a unique identifier for each feature, and (b) the "prediction_class". The latter attribute indicates the area's suitability, with a classification of 0 for unsuitable and 1 for suitable. This information is helpful for various applications, including environmental studies and land utilization strategies.

Besides, a QGIS style layer is given "prediction_parking_pv_hesse.qml". This file is designed to visually distinguish between parking lots classified as suitable and unsuitable for PV canopy installations in the dataset "prediction_parking_pv_hesse.gpkg". The symbology is defined as follows: class 0 (unsuitable): Red fill, and class 1 (suitable): Green fill.

The style enhances the readability for map viewers and supports the quick visual interpretation of suitability categories. It can be directly applied to the prediction layer in QGIS for consistent thematic mapping.
DOI: 10.3334/cdiac/otg.usgs_fs
title: Partial pressure (or fugacity) of carbon dioxide, dissolved inorganic carbon, pH, alkalinity, temperature, salinity and other variables collected from Surface underway observations using Carbon dioxide (CO2) gas analyzer, Shower head chamber equilibrator for autonomous carbon dioxide (CO2) measurement and other instruments from WEATHERBIRD II in the Coastal Waters of Florida and Gulf of Mexico from 2008-08-11 to 2011-06-30 (NCEI Accession 0144622)

description: This dataset includes Surface underway data collected from WEATHERBIRD II in the Coastal Waters of Florida and Gulf of Mexico from 2008-08-11 to 2011-06-30. These data include DISSOLVED INORGANIC CARBON (DIC), Partial pressure (or fugacity) of carbon dioxide - atmosphere, Partial pressure (or fugacity) of carbon dioxide - water, SALINITY, SEA SURFACE TEMPERATURE, TOTAL ALKALINITY (TA), WATER TEMPERATURE and pH. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer and Shower head chamber equilibrator for autonomous carbon dioxide (CO2) measurement.

These data were collected by Kira E. Barrera and Lisa L. Robbins of US DOI; US Geological Survey (USGS) as part of the USGS_Florida_Shelf dataset. CDIAC associated the following cruise ID(s) with this dataset: USGS20080811
DOI: 10.25345/c5qj7897x
title: MassIVE MSV000097555 - Amyloid Protein Identification by LCMS Assay Validation
title: Amyloidosis is characterized by the deposition of protein fibrils in extra-cellular regions, resulting in the displacement and damage of healthy tissue. These diseases lead to organ damage, dysfunction, and death which is why diagnosis, characterization, and management of the disease are critical. Following a diagnosis of amyloidosis, determination of the causative protein is the next and vital step to proper treatment, as the subtypes differ in pathogenesis and clinical management. There are approximately 30 known causative proteins. Existing methods are lacking and served as motivation for the development of a clinically applicable mass spectrometry-based method for the identification of amyloid causative proteins in FFPE tissue biopsies. This method combines the power of laser microdissection for enrichment of amyloid deposits with the sensitivity and specificity of liquid chromatography mass spectrometry (LCMS). Variations of this original assay have been adapted by several reference laboratories, specialized disease centers, and academic centers and is considered the international gold standard for diagnosis and classification of amyloidosis. The aim of this paper is to outline the general considerations for development, validation, and implementation of a clinical assay with a focus on mass spectrometry-based proteomic assays in molecular and clinical pathology practice.
DOI: 10.25582/data.2019-11.1881468/2366774
title: Data for EMSL Project 50076 from November 2019
DOI: 10.15468/dl.2ge6dc
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Microkayla chacaltaya (De la Riva, Padial & Cortéz, 2007)"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043631-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.97ftt5
title: Occurrence Download

description: A dataset containing 204965 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clupea harengus Linnaeus, 1758"
 ]
}

 The dataset includes 204965 records from 246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030022-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3unbjm
title: Occurrence Download

description: A dataset containing 3550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anoura geoffroyi Gray, 1838",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3550 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010227-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1935407/2366775
title: Data for EMSL Project 50076 from January 2020
DOI: 10.15468/dl.4jvuna
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Barleria soutpansbergensis I.Darbysh. & K.Balkwill"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043641-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3rnsu
title: Occurrence Download

description: A dataset containing 402 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dillenia philippinensis Rolfe"
 ]
}

 The dataset includes 402 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030017-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1937572/2366776
title: Data for EMSL Project 50076 from January 2020
DOI: 10.15468/dl.1syk3u
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum hastifolium Hochst. ex Dunal",
 "Country is Sudan",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((5.98 -11.61,5.98 22.76,61.08 22.76,61.08 -11.61,5.98 -11.61))"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010227-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2019-11.1890498/2366777
title: Data for EMSL Project 50076 from November 2019
DOI: 10.15468/dl.3qchr4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Megaelosia massarti (De Witte, 1930)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043668-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6nhtb
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dilobeia tenuinervis Bosser & R.Rabev."
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030137-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1937126/2366778
title: Data for EMSL Project 50076 from January 2020
DOI: 10.15468/dl.1lfugl
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Abundance of non-diatom phytoplankton measured on water bottle samples at station PS58/042-2"
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010227-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpu24e
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptocarya transversa Kosterm."
 ]
}

 The dataset includes 112 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012102-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ngnmx4
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diascia minutiflora Hiern"
 ]
}

 The dataset includes 28 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030021-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1937476/2366779
title: Data for EMSL Project 50076 from January 2020
DOI: 10.15468/dl.pz9tex
title: Occurrence Download

description: A dataset containing 379 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia candelabrum Boiss."
 ]
}

 The dataset includes 379 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013527-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1936328/2366780
title: Data for EMSL Project 50076 from January 2020
DOI: 10.15468/dl.z4fjjy
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pinus sylvestris L."
 ]
}

 The dataset includes 229 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039531-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ju7wq4
title: Occurrence Download

description: A dataset containing 487 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Metallura odomae G.R.Graves, 1980"
 ]
}

 The dataset includes 487 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030015-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uz3st8
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptocarya tsangii Nakai"
 ]
}

 The dataset includes 27 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012108-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2019-11.1885085/2366781
title: Data for EMSL Project 50076 from November 2019
DOI: 10.15468/dl.5j7ipb
title: Occurrence Download

description: A dataset containing 379 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia candelabrum Boiss."
 ]
}

 The dataset includes 379 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013543-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1936064/2366782
title: Data for EMSL Project 50076 from January 2020
DOI: 10.15468/dl.4bnvzu
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dillenia pteropoda (Miq.) Hoogland"
 ]
}

 The dataset includes 45 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030025-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7bmm93
title: Occurrence Download

description: A dataset containing 303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Botula fusca (Gmelin, 1791)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 303 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043623-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bx8jbv
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Hymenophyllum peltatum (Poir.) Desv."
 ]
}

 The dataset includes 23 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010227-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1937048/2366783
title: Data for EMSL Project 50076 from January 2020
DOI: 10.25582/data.2020-02.1939358/2366784
title: Data for EMSL Project 50076 from February 2020
DOI: 10.15468/dl.d3zvjh
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pristimantis tubernasus (Rivero, 1984)"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043613-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mftjtv
title: Occurrence Download

description: A dataset containing 356 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dyschoriste hildebrandtii (S.Moore) Lindau ex Engl."
 ]
}

 The dataset includes 356 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030236-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqvh8e
title: Occurrence Download

description: A dataset containing 255 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coniophanes bipunctatus (Günther, 1858)"
 ]
}

 The dataset includes 255 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010227-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1934894/2366785
title: Data for EMSL Project 50076 from January 2020
DOI: 10.15468/dl.kgd3p5
title: Occurrence Download

description: A dataset containing 508 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dicarpellum pancheri (Baill.) A.C.Sm."
 ]
}

 The dataset includes 508 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030251-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pdjmfn
title: Occurrence Download

description: A dataset containing 2646 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cestrum aurantiacum Lindl."
 ]
}

 The dataset includes 2646 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001676-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1937091/2366786
title: Data for EMSL Project 50076 from January 2020
DOI: 10.15156/bio/sh0186121.10fu
title: SH0186121.10FU

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/sh0186122.10fu
title: SH0186122.10FU

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/sh0186123.10fu
title: SH0186123.10FU

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/sh0186124.10fu
title: SH0186124.10FU

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.