cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rkgt34
title: Occurrence Download

description: A dataset containing 214529 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Abies alba Mill.)"
 ]
}

 The dataset includes 214529 records from 962 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000222-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z328tk
title: Occurrence Download

description: A dataset containing 7051 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plantas Vasculares del Herbario EIF"
 ]
}

 The dataset includes 7051 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000235-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwdsw5
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Mamíferos voladores de San Andrés y Providencia - Expedición Sea Flower Plus 2021"
 ]
}

 The dataset includes 133 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043879-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gaq8y8
title: Occurrence Download

description: A dataset containing 2221 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus saxatilis F.Cuvier, 1823"
 ]
}

 The dataset includes 2221 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000236-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xzr2sf
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vavilovia Fed."
 ]
}

 The dataset includes 68 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004636-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r73sdv
title: Occurrence Download

description: A dataset containing 28633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Levantamientos de vegetación de la Amazonia Colombiana de 0.1 Ha"
 ]
}

 The dataset includes 28633 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043883-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxsuj3
title: Occurrence Download

description: A dataset containing 11161 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sapium Jacq."
 ]
}

 The dataset includes 11161 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004636-150831095807960/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9u8ja6
title: Occurrence Download

description: A dataset containing 28614 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prunus armeniaca L."
 ]
}

 The dataset includes 28614 records from 384 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049210-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7g4rb
title: Occurrence Download

description: A dataset containing 2063 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crataegus"
 ]
}

 The dataset includes 2063 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031806-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pzjpyw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Garrulax annamensis",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031807-250920141307145/datasets/export for details.
DOI: 10.15468/dl.xeghzb
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galenia pubescens",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031808-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kxfsa
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galenia pubescens",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031809-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ydmxf
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Flacourtia"
 ]
}

 The dataset includes 10 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031811-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usv2a9
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Garrulax canorus",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 206 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031812-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqbjtt
title: Occurrence Download

description: A dataset containing 140797 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Equisetum"
 ]
}

 The dataset includes 140797 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031792-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p43gqk
title: Occurrence Download

description: A dataset containing 313102 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peromyscus maniculatus"
 ]
}

 The dataset includes 313102 records from 208 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031777-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zrwvc7jm5h
title: Data for: Emission Characteristics of Jatropha Oil Methyl Ester (JOME), Fish Oil Methyl Ester (JOME) and Diesel Blends in a Diesel Premixed Compression Ignition (DPMCI) Engine with Exhaust Gas Recirculation

description: Experiments are conducted on a CIDI engine with exhaust gas recirculation with 20% EGR mode, at 25%, 50%, 75% and 100% of brake power output while maintaining a constant speed of 1500 rpm. This experiment is conducted again with DPMCI mode with diesel premix ratio of 0.25 at similar conditions as before. 
The notations used in DPMCI mode are: 
• Diesel - Diesel on a CIDI engine.
• 20% JOME – 20% JOME and 80% Diesel blends on a CIDI engine.
• 20% JOME, 20% EGR - 20% JOME and 80% Diesel blends on a CIDI engine with 20% Exhaust gas recirculation.
• 20% JOME, 20% EGR, DPMR 0.25 - 20% JOME and 80% Diesel blends (main fuel) with 20% Exhaust gas recirculation along with Diesel premix ratio of 0.25 (manifold injection)
• DPMR - Ratio of energy of Diesel premix QDp to total energy Qt
DPMR = QDp/Qt = (mDp*CVDp) /[(mDp*CVDp) + (md*CVd)] (1)
Where m is the mass of fuel and CV is lower colorific value and subscripts Dp and d refer to Diesel premix and directly injected fuels respectively.
DOI: 10.17632/zrwvc7jm5h.1
title: Data for: Emission Characteristics of Jatropha Oil Methyl Ester (JOME), Fish Oil Methyl Ester (JOME) and Diesel Blends in a Diesel Premixed Compression Ignition (DPMCI) Engine with Exhaust Gas Recirculation

description: Experiments are conducted on a CIDI engine with exhaust gas recirculation with 20% EGR mode, at 25%, 50%, 75% and 100% of brake power output while maintaining a constant speed of 1500 rpm. This experiment is conducted again with DPMCI mode with diesel premix ratio of 0.25 at similar conditions as before. 
The notations used in DPMCI mode are: 
• Diesel - Diesel on a CIDI engine.
• 20% JOME – 20% JOME and 80% Diesel blends on a CIDI engine.
• 20% JOME, 20% EGR - 20% JOME and 80% Diesel blends on a CIDI engine with 20% Exhaust gas recirculation.
• 20% JOME, 20% EGR, DPMR 0.25 - 20% JOME and 80% Diesel blends (main fuel) with 20% Exhaust gas recirculation along with Diesel premix ratio of 0.25 (manifold injection)
• DPMR - Ratio of energy of Diesel premix QDp to total energy Qt
DPMR = QDp/Qt = (mDp*CVDp) /[(mDp*CVDp) + (md*CVd)] (1)
Where m is the mass of fuel and CV is lower colorific value and subscripts Dp and d refer to Diesel premix and directly injected fuels respectively.
DOI: 10.15468/dl.pkcpe7
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031813-250920141307145/datasets/export for details.
DOI: 10.15468/dl.928fnx
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031814-250920141307145/datasets/export for details.
DOI: 10.15468/dl.6q8d2k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus blitum",
 "Country is Iran (Islamic Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031815-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.14282098
title: Flow cytometry data for sorting of cultured Polaribacter sp. KT25b and Aurantivirga spp. from Helgoland 2020

description: This dataset contains flow cytometry files (.fcs) from cell sorting experiments of cultured cells of the bacterium Polaribacter sp. KT25b grown in culture and Aurantivirga spp. collected from the German bight in May 2020 using fluorescence in situ hybridisation (FISH) and fluorescence-activated cell sorting (FACS). Minimum Information for Flow Cytometry (MIFlowCyt) can be found in the respective folders.

The purpose of these FACS experiments was investigate the compatibility of FISH and FACS with mass spectrometry-based proteomics.
DOI: 10.5281/zenodo.17101905
title: Dataset for, 'Reconstructing Historical Solar Indices for Predicting Past Space Weather Events'

description: The dataset contains key indicators of solar magnetic activity, including sunspot number, sunspot area, and solar plage area, together with the solar proxy indices F10.7, S10.7, Y10.7, and M10.7, as well as their corresponding 81-day running averages. The proxy indices were reconstructed using a hybrid machine learning model, extending continuously from 1826 onward and overlapping with the period of observed values.
DOI: 10.5281/zenodo.14012785
title: SERENA EJPSOIL IT TUS SOC Loss SOC

description: The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.

The map is the result of applying the SOC loss cookbook developed in SERENA/EJP-Soil. It is based on Tuscany Region SOCdatabase (Gardin et al., 2021). Not freely available (Lamma Consortium). More information and requests to: info@lamma.toscana.it.

Three versions of the map were produced.

In versions v1 and v2, the dataset corresponds to a map of SOC concentrations for the Tuscany Region produced using a geostatistical approach. Ordinary kriging (Chilès & Delfiner, 2012) coupled with local geostatistics (LGS) was used to map SOC concentration (%) in the topsoil (0-30 cm) at a regional scale in the Tuscany Region (Italy). The map has a 50 m spatial resolution.

In version v3, a different approach to applying SOC loss cookbook was used. Particularly, Random Forest regression algorithm with numerous spatial covariates was applied for mapping SOC content (%) in the topsoil (0-30 cm) at regional scale in Tuscany Region (Italy).  The map has a 100 m spatial resolution.
description: In versions v1 and v2 local geostatistics (LGS) approach (Chilès & Delfiner, 2012) was used as an alternative to a global model of spatial dependence. According the LGS approach, the geostatistical parameters involved in variogram-based modelling were locally (within a 20-km grid mesh) optimized ensuring a better adequacy between the geostatistical model and the data.
description: The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:






It is the result of a modelling exercise and does not necessarily reflect reality.




Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .




It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.




These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.





==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.5281/zenodo.14001698
title: SERENA EJP Soil: Bundles Application Emilia-Romagna, Italy

description: The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.
description: The present datasets correspond to 2 maps of soil-based ecosystem services for the area of Emilia-Romagna, Italy. The maps are the result of applying the bundles cookbook developed in SERENA/EJP-Soil to the area of interest (AOI) input data (“SERENA_EJPSOIL_IT_bundles.gpkg”); and a variation of the cookbook to the other geodata (SERENA_EJPSOIL_IT_bundles_previous.gpkg). The resulting bundles are clusters of SESs/STs where the intra-cluster variability is lower than the inter-cluster variability in the mean values of the selected SESs/STs to identify the bundles. More specific informatin can be found in the metadata can be found embeded in the geospatial products
description: The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:

It is the result of a modelling exercise and does not necessarily reflect reality.

Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .

It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.

These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.

Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.5281/zenodo.14329733
title: Data for: A comprehensive dataset of forest above-ground biomass from field observations, machine learning and topographically augmented allometric models over the Kashmir Himalaya

description: The repository contains observed Above Ground Biomass (AGB) estimates at about 275 sample plots chosen for AGB assessment in the forests of Kashmir Himalaya. The AGB is assessed as a fucntion of dbh using various allometric equations developed specifically for the region. It also contains the AGB for years 1978, 1990, 2000, 2010 and 2021 predicted using topographcally augmeneted multivariate regression model. The extent of forest, delineated using on-screen digitization using Landsat and Sentinel image collection at decadal scale is also provided for the years 1978, 1990, 2000, 2010 and 2021.
DOI: 10.15468/dl.dqyert
title: Occurrence Download

description: A dataset containing 279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ixchelia mexicana"
 ]
}

 The dataset includes 279 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031817-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14518438
title: Magnetic susceptibility of whole-round depressurized pressure core samples from the Terrebonne Basin, Walker Ridge 313 Site H, Expedition UT-GOM2-2

description: These data include magnetic susceptibility measurements of conventionalized (depressurized) pressure core whole round core sections using a Geotek standard Multi-Sensor Core Bartington Logger (MSCL-S) MS2C magnetic susceptibility loop sensor and Bartington MS3 magnetic susceptibility meter. Magnetic susceptibility was measured every 1 cm manually along each core section scanner. For more details on the methods, see Expedition UT-GOM2-2 Methods: Conventionalized Pressure Core Logging and Imaging (Flemings et al., 2025a, https://doi.org/10.5281/zenodo.13971228).

The attached readme file, previewed below, describes the data file in this dataset and its contents. The readme file also contains links to where the data is presented in the expedition proceedings.

Additional data you might expect to find in this dataset can instead be found at the following locations:

The sample depths can be found in the curation dataset (http://doi.org/10.5281/zenodo.14926309). Download the file UT-GOM2-2 CORE LOG depths – sortable.xlsx, see tab “Section-piece log”, core type “FB” for the Pressure Coring Tool with Ball valve (PCTB) in the face bit configuration, and “CS” for the PCTB in the cutting shoe configuration with core process “Conv.” for conventional core processing or “QD” for quantitative degassing followed by conventional core processing.

A summary of all logging and imaging for each core and section type can be found in the core images dataset http://doi.org/10.5281/zenodo.14261688. Core images can also be found in the core images dataset http://doi.org/10.5281/zenodo.14261688. Split core logging of archived halves can be found in the split core logging dataset http://doi.org/10.5281/zenodo.14277995.

Processed conventionalized pressure core whole core logging data can be found in Appendix E, of Expedition UT-GOM2-2 Site H (Flemings et al., 2025b, https://doi.org/10.5281/zenodo.13971276).
DOI: 10.15468/p75y3v
title: University of Montana Zoological Museum (UMZM) Mammal Specimens (Arctos)

description: The Mammal collection at UMZM consists of nearly 16,000 mammal specimens, including skins, skeletons, and frozen tissues. The majority of material was collected from 1900 to the present and represents Northern Rocky Mountain biodiversity. However, there are also several special collections including small mammals from China, Peru, and the former USSR.
DOI: 10.5281/zenodo.14926310
title: Core curation and sampling logs from the Terrebonne Basin, Walker Ridge Block 313, Site H, Expedition UT-GOM2-2

description: This dataset contains the coring log for Hole H002 (core depths, drill ahead depths), the coring log for Hole H003, the final core log (core depths all cores), the cut sections and pieces of the cores, and the locations of discrete samples and measurements from the cores.

Depths presented include archived and compressed depths for all conventional and pressure cores. The archived depth scale includes expansion due to gas voids and allows for overlaps between successive cores. The compressed depth scale uses linearly compresses the depths in each expanded core to fit within the length of the coring advance.  All depths are calculated as the measured depth below seafloor and are not corrected for deviation of the borehole. See Expedition UT-GOM2-2 Methods: Depth References, Downhole Tools, Coring Assessment, and Core Processing (Flemings et al., 2025a, https://doi.org/10.5281/zenodo.13971228).

The attached readme file, previewed below, describes each data file in this dataset and its contents. The readme file also contains links to where the data is presented in the expedition proceedings.