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

description: A dataset containing 194311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Liocarcinus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 194311 records from 469 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005970-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.esd3tq
title: Occurrence Download

description: A dataset containing 4698 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "Country is one of (United States of America)",
 "StateProvince is one of (Pennsylvania)",
 "LifeStage is one of (Adult)"
 ]
 }
 ]
}

 The dataset includes 4698 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006007-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bpbkxf
title: Occurrence Download

description: A dataset containing 5458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-53.46725 5.5466,-53.46108 5.57224,-53.8034 5.73509,-53.83332 5.74079,-53.83949 5.72797,-53.79676 5.71088,-53.77397 5.68381,-53.77824 5.65105,-53.7659 5.64441,-53.698 5.64013,-53.61159 5.60832,-53.62014 5.57604,-53.52233 5.53995,-53.46725 5.5466))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5458 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006006-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qjpnqt
title: Occurrence Download

description: A dataset containing 47558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is 2010",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 47558 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006008-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18598681
title: Experimental dataset for "Modulation of quantum geometry and its coupling to pseudo-electric field by dynamic strain"

description: This repository contains the experimental data supporting the findings of the manuscript titled "Modulation of quantum geometry and its coupling to pseudo-electric field by dynamic strain"
DOI: 10.5281/zenodo.18598682
title: Experimental dataset for "Modulation of quantum geometry and its coupling to pseudo-electric field by dynamic strain"

description: This repository contains the experimental data supporting the findings of the manuscript titled "Modulation of quantum geometry and its coupling to pseudo-electric field by dynamic strain"
DOI: 10.5281/zenodo.18598949
title: Carbon emission intensities of aquatic food

description: This database lists carbon emission intensities/factors (unit: kg CO2 eq/kg live weight) for major aquatic food categories. Different species are classified into four categories based on potential production sources (inland and marine) and harvesting methods (aquaculture and capture): Inland_Aquaculture, Inland_Capture, Marine_Aquaculture, and Marine_Capture.

Aquatic species are categorized according to the ISSCAAP (International Standard Statistical Classification of Aquatic Animals and Plants) standard, which divides all aquatic species into 9 major groups (Freshwater fishes, Diadromous fishes, Marine fishes, Crustaceans, Molluscs, Aquatic mammals, Aquatic animals, Aquatic animal products, Aquatic plants) and 50 subgroups.

Emission factors are primarily derived from literature searches. Using the Web of Science database, individual searches were conducted for each category by combining species names (e.g., Carp, Shrimp, Seaweed) with greenhouse gas emission keywords (e.g., GHG, carbon footprint, carbon emission) as search topics (including titles, abstracts, and keywords). The search period was set from 2000 to 2024.

Based on FAO’s 2022 global aquatic food harvest data, categories with production volumes below 0.1% were screened out, resulting in 56 species-source combinations accounting for 98.8% of total production. For groups lacking original reference data (e.g., a species category having capture data but missing aquaculture data), emission factors from similar categories were used as substitutes. For classifications labeled as "Miscellaneous" or "Undefined," the average emission factor of their respective major group was applied. In cases where only a single emission factor reference was available for a specific category, a standard deviation of 30% of the value was assumed instead of zero. Emission factors were annotated based on data reliability: category A indicates direct literature support, while category B denotes estimated values.
DOI: 10.5281/zenodo.18598950
title: Carbon emission intensities of aquatic food

description: This database lists carbon emission intensities/factors (unit: kg CO2 eq/kg live weight) for major aquatic food categories. Different species are classified into four categories based on potential production sources (inland and marine) and harvesting methods (aquaculture and capture): Inland_Aquaculture, Inland_Capture, Marine_Aquaculture, and Marine_Capture.

Aquatic species are categorized according to the ISSCAAP (International Standard Statistical Classification of Aquatic Animals and Plants) standard, which divides all aquatic species into 9 major groups (Freshwater fishes, Diadromous fishes, Marine fishes, Crustaceans, Molluscs, Aquatic mammals, Aquatic animals, Aquatic animal products, Aquatic plants) and 50 subgroups.

Emission factors are primarily derived from literature searches. Using the Web of Science database, individual searches were conducted for each category by combining species names (e.g., Carp, Shrimp, Seaweed) with greenhouse gas emission keywords (e.g., GHG, carbon footprint, carbon emission) as search topics (including titles, abstracts, and keywords). The search period was set from 2000 to 2024.

Based on FAO’s 2022 global aquatic food harvest data, categories with production volumes below 0.1% were screened out, resulting in 56 species-source combinations accounting for 98.8% of total production. For groups lacking original reference data (e.g., a species category having capture data but missing aquaculture data), emission factors from similar categories were used as substitutes. For classifications labeled as "Miscellaneous" or "Undefined," the average emission factor of their respective major group was applied. In cases where only a single emission factor reference was available for a specific category, a standard deviation of 30% of the value was assumed instead of zero. Emission factors were annotated based on data reliability: category A indicates direct literature support, while category B denotes estimated values.
DOI: 10.15468/dl.4nzuqm
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cleome rosea",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 102 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006009-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gzdjb
title: Occurrence Download

description: A dataset containing 2601 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, Sri Lanka, Nepal, Iran (Islamic Republic of), Pakistan, Bangladesh, Myanmar)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Crocodylus palustris"
 ]
}

 The dataset includes 2601 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006010-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nmm2f4
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phenacogaster beni",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 42 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006011-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18598700
title: RF Exposure generic model dataset 2026
DOI: 10.5281/zenodo.18598701
title: RF Exposure generic model dataset 2026
DOI: 10.15468/dl.pk4eju
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argyreia pierreana",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 131 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006013-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kjtcbd
title: Occurrence Download

description: A dataset containing 3550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Atriplex calotheca"
 ]
}

 The dataset includes 3550 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006017-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18496587
title: Continuous Global Mangrove Dynamics: Annual mangrove fractional canopy cover during 1984-1992

description: This dataset provides the annual global mangrove fractional canopy cover (FCC) from 1984 to 1992 at 30-m spatial resolution, derived from the Landsat archive. Due to the 50 GB storage limitation of Zenodo, only the data from 1984 to 1992 are included in this record. Annual datasets for the remaining years (1993–2023) can be accessed through the Continuous Global Mangrove Dynamics (CGMD) community on Zenodo.

The FCC data are provided in GeoTIFF format using integer storage, representing canopy cover in percentage (%). Each pixel value indicates the proportion of vegetation canopy cover within the 30-m Landsat pixel. The data are tiled by 1° × 1° grid cells, and each file is named following the convention:FCC_YYYY_LON_LAT.tif, where YYYY is the year, and LON and LAT represent the longitude and latitude of the lower-left corner of the tile.

The FCC dataset also provides values for non-mangrove coastal and terrestrial regions to serve as background reference; however, users are advised to interpret non-mangrove areas with caution. For most applications, it is recommended to mask or clip the FCC data using the corresponding annual mangrove extent before analysis.

These data form part of the Continuous Global Mangrove Dynamics (CGMD) project, which aims to quantify long-term global mangrove canopy changes, degradation, and recovery processes.

Files are currently under restricted access and will be openly released upon acceptance of Zhang et al. (2025). Unexpected canopy gain in Earth’s mangrove forests linked to natural expansion and regrowth (In Review).
DOI: 10.5281/zenodo.18496588
title: Continuous Global Mangrove Dynamics: Annual mangrove fractional canopy cover during 1984-1992

description: This dataset provides the annual global mangrove fractional canopy cover (FCC) from 1984 to 1992 at 30-m spatial resolution, derived from the Landsat archive. Due to the 50 GB storage limitation of Zenodo, only the data from 1984 to 1992 are included in this record. Annual datasets for the remaining years (1993–2023) can be accessed through the Continuous Global Mangrove Dynamics (CGMD) community on Zenodo.

The FCC data are provided in GeoTIFF format using integer storage, representing canopy cover in percentage (%). Each pixel value indicates the proportion of vegetation canopy cover within the 30-m Landsat pixel. The data are tiled by 1° × 1° grid cells, and each file is named following the convention:FCC_YYYY_LON_LAT.tif, where YYYY is the year, and LON and LAT represent the longitude and latitude of the lower-left corner of the tile.

The FCC dataset also provides values for non-mangrove coastal and terrestrial regions to serve as background reference; however, users are advised to interpret non-mangrove areas with caution. For most applications, it is recommended to mask or clip the FCC data using the corresponding annual mangrove extent before analysis.

These data form part of the Continuous Global Mangrove Dynamics (CGMD) project, which aims to quantify long-term global mangrove canopy changes, degradation, and recovery processes.

Files are currently under restricted access and will be openly released upon acceptance of Zhang et al. (2025). Unexpected canopy gain in Earth’s mangrove forests linked to natural expansion and regrowth (In Review).
DOI: 10.5281/zenodo.18590051
title: eCLM simulation outputs for GRACE data assimilation experiments on state vector and ensemble design

description: Description

This dataset contains output from data assimilation experiments using the encore Community Land Model (eCLM), a streamlined fork of CLM5, conducted over Europe at 12.5 km spatial resolution (EUR-11 grid). The simulations assimilate monthly terrestrial water storage anomalies (TWSA) derived from GRACE observations using ensemble-based Kalman filtering techniques.

The archived data correspond to a representative one-year subset of the full seven-year simulation period (2003–2009) analyzed in the manuscript “GRACE TWSA data assimilation in land surface models – the role of state vector and model uncertainty representation”. The subset includes all variables and diagnostics required to reproduce the analyses presented in the study.

 

Method

The simulations were performed with eCLM driven by meteorological forcing and coupled to the Parallel Data Assimilation Framework (PDAF). Monthly GRACE TWSA observations were assimilated using both a global Ensemble Kalman Filter (EnKF) and the Local Ensemble Subspace Transform Kalman Filter (LESTKF).

Multiple data assimilation configurations were tested, differing in(i) the definition of the model state vector (ranging from fully disaggregated soil layers to partially or fully aggregated representations), and(ii) the ensemble generation strategy used to represent model uncertainty (including perturbations of atmospheric forcing and soil hydraulic properties).

The dataset includes both model state outputs and assimilation increments, allowing analysis of how vertically integrated GRACE TWSA information is redistributed across soil layers and hydrologically active storage components.

 

Data format and content

The data are provided as a compressed tar.gz archive containing NetCDF files. Monthly files include ensemble means of daily outputs of the following variables:





H2OSOI – volumetric soil water content




TWS_hactive – terrestrial water storage of hydrologically active grid cells



In addition, the archive contains:





Mean assimilation increment files for each analysis time step




A coordinate file defining the EUR-11 model grid



 

Notes

Due to the large data volume of the complete experiment suite, only a representative one-year subset of the simulations is archived here. This subset contains the full variable set and temporal structure used in the analyses. The complete simulation output is available from the corresponding author upon reasonable request.
DOI: 10.5281/zenodo.18590052
title: eCLM simulation outputs for GRACE data assimilation experiments on state vector and ensemble design

description: Description

This dataset contains output from data assimilation experiments using the encore Community Land Model (eCLM), a streamlined fork of CLM5, conducted over Europe at 12.5 km spatial resolution (EUR-11 grid). The simulations assimilate monthly terrestrial water storage anomalies (TWSA) derived from GRACE observations using ensemble-based Kalman filtering techniques.

The archived data correspond to a representative one-year subset of the full seven-year simulation period (2003–2009) analyzed in the manuscript “GRACE TWSA data assimilation in land surface models – the role of state vector and model uncertainty representation”. The subset includes all variables and diagnostics required to reproduce the analyses presented in the study.

 

Method

The simulations were performed with eCLM driven by meteorological forcing and coupled to the Parallel Data Assimilation Framework (PDAF). Monthly GRACE TWSA observations were assimilated using both a global Ensemble Kalman Filter (EnKF) and the Local Ensemble Subspace Transform Kalman Filter (LESTKF).

Multiple data assimilation configurations were tested, differing in(i) the definition of the model state vector (ranging from fully disaggregated soil layers to partially or fully aggregated representations), and(ii) the ensemble generation strategy used to represent model uncertainty (including perturbations of atmospheric forcing and soil hydraulic properties).

The dataset includes both model state outputs and assimilation increments, allowing analysis of how vertically integrated GRACE TWSA information is redistributed across soil layers and hydrologically active storage components.

 

Data format and content

The data are provided as a compressed tar.gz archive containing NetCDF files. Monthly files include ensemble means of daily outputs of the following variables:





H2OSOI – volumetric soil water content




TWS_hactive – terrestrial water storage of hydrologically active grid cells



In addition, the archive contains:





Mean assimilation increment files for each analysis time step




A coordinate file defining the EUR-11 model grid



 

Notes

Due to the large data volume of the complete experiment suite, only a representative one-year subset of the simulations is archived here. This subset contains the full variable set and temporal structure used in the analyses. The complete simulation output is available from the corresponding author upon reasonable request.
DOI: 10.15468/dl.pc5x3b
title: Occurrence Download

description: A dataset containing 583115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sciurus carolinensis",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 583115 records from 247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005982-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18598697
title: Data of manuscript "Ultrasonic chemo-thermal degradation of commercial poly(butylene adipate-co-terephthalate) (PBAT) and thermoplastic starch (TPS) blends".

description: Data of the manuscript: 

Title: Ultrasonic chemo-thermal degradation of commercial poly(butylene adipate-co-terephthalate) (PBAT) and thermoplastic starch (TPS) blends.

Authors: Karen Gutiérrez-Silva, Alejandro Jordán Silvestre, Amparo Cháfer Ortega, Rafael Muñoz Espí, Oscar Gil Castell, Jose David Badia Valiente.

Journal: Polymer Degradation and Stability (Elsevier) 2024.

Affiliation: Research Group in Materials Technology and Sustainability (MATS), Department of Chemical Engineering, School of Engineering, University of Valencia, Avda. Universitat s/n, 46100 Burjassot, Spain.

Additional information: For further information beyond the details in the manuscript, please contact with: karen.gutierrez@uv.es; oscar.gil@uv.es; jose.badia@uv.es.

Funding: This research is part of the project BIOFAST (INNEST/2022/295) funded by Agència Valenciana de la Innovació (AVI).
DOI: 10.5281/zenodo.18598698
title: Data of manuscript "Ultrasonic chemo-thermal degradation of commercial poly(butylene adipate-co-terephthalate) (PBAT) and thermoplastic starch (TPS) blends".

description: Data of the manuscript: 

Title: Ultrasonic chemo-thermal degradation of commercial poly(butylene adipate-co-terephthalate) (PBAT) and thermoplastic starch (TPS) blends.

Authors: Karen Gutiérrez-Silva, Alejandro Jordán Silvestre, Amparo Cháfer Ortega, Rafael Muñoz Espí, Oscar Gil Castell, Jose David Badia Valiente.

Journal: Polymer Degradation and Stability (Elsevier) 2024.

Affiliation: Research Group in Materials Technology and Sustainability (MATS), Department of Chemical Engineering, School of Engineering, University of Valencia, Avda. Universitat s/n, 46100 Burjassot, Spain.

Additional information: For further information beyond the details in the manuscript, please contact with: karen.gutierrez@uv.es; oscar.gil@uv.es; jose.badia@uv.es.

Funding: This research is part of the project BIOFAST (INNEST/2022/295) funded by Agència Valenciana de la Innovació (AVI).
DOI: 10.5281/zenodo.18597808
title: 3He charge structure revisited: Insights from Patterson function analysis

description: The Patterson function is utilized to determine the Patterson charge density of ³He.
DOI: 10.5281/zenodo.18597809
title: 3He charge structure revisited: Insights from Patterson function analysis

description: The Patterson function is utilized to determine the Patterson charge density of ³He.
DOI: 10.15468/dl.gahgtq
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.49754 44.05896,-9.82817 43.18194,-9.34357 35.97189,-3.68987 35.77555,1.0754 37.39676,0.75233 39.67088,3.82149 41.63152,-4.49754 44.05896))",
 "HasGeospatialIssue is false",
 "TaxonKey is Miomantis paykullii"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006023-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5sqhz
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "Country is one of (United States of America)",
 "StateProvince is one of (California)",
 "LifeStage is one of (Adult)",
 "TaxonKey is one of (Mus musculus [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset's 3 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005993-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.