cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.k38rac
title: Occurrence Download

description: A dataset containing 14165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((-11.36435 35.55364,-6.22589 35.79882,-4.39018 36.03215,8.84152 38.2089,16.5649 34.83439,20.06851 40.18237,14.97087 43.27971,13.39512 44.97612,14.17315 48.28182,14.28711 51.56867,7.33548 52.9634,-7.77473 51.74365,-9.98851 45.77258,-9.94764 41.32123,-11.36435 37.21431,-11.36435 35.55364))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Anonconotus Camerano, 1878, Yersinella Ramme, 1933, Pachytrachis Uvarov, 1940, Antaxius Brunner von Wattenwyl, 1882, Rhacocleis Fieber, 1853)",
 "Year 2000-2025"
 ]
}

 The dataset includes 14165 records from 293 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001824-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvrf8d
title: Occurrence Download

description: A dataset listing the 7157 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.02987 49.91037,11.16315 49.78984,11.1005 49.61846,11.16419 49.51063,11.29266 49.53715,11.50064 49.76328,11.57227 49.92562,11.35806 49.94389,11.12817 49.92315,11.04737 49.91488,11.02987 49.91037))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 7157 records were derived from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001802-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15130296
title: WRF-Comfort output related to "Adapting urban areas to rising temperatures: strategies to reduce heat and vulnerability in a warming world"

description: Output for the sumitted article "Adapting urban areas to rising temperatures: strategies to reduce heat and vulnerability in a warming world" by 

Sergi Ventura1, JR Miró2, David Camacho-Caballero1, Enric Casellas2, Ricard Segura-Barrero1, Alberto Martilli3, Gara Villalba1,4,*

1Sostenipra Research Group (SGR 01412), Institute of Environmental Sciences and Technology (MDM-2015-0552), Z Building, Universitat Autònoma de Barcelona (UAB), Campus UAB, 08193 Bellaterra, Barcelona, Spain

2Department of Territory and Sustainability, Meteorological Service of Catalonia, Generalitat de Catalunya, Barcelona, Spain

3Research Center for Energy, Environment and Technology, CIEMAT, Madrid, Spain.

4Department of Chemical, Biological and Environmental Engineering, Universitat Autònoma de Barcelona (UAB), Campus UAB, 08193 Bellaterra, Barcelona, Spain



Corresponding author: gara.villalba@uab.cat


All rights lie with the authors. 

This Zenodo repository contains the WRF-Comfort output for the REFERENCE simulations (BASE) and COOL ROOF adaptation strategy (COOLROOFS) for the corrent (2018), middle-century (MID-2050) and end-of-the-century (END-2100). Within each wrfout file, you can to analyze multiple atmospheric variables resultin from WRF-Comfort simulations.
DOI: 10.5281/zenodo.15130297
title: WRF-Comfort output related to "Adapting urban areas to rising temperatures: strategies to reduce heat and vulnerability in a warming world"

description: Output for the sumitted article "Adapting urban areas to rising temperatures: strategies to reduce heat and vulnerability in a warming world" by 

Sergi Ventura1, JR Miró2, David Camacho-Caballero1, Enric Casellas2, Ricard Segura-Barrero1, Alberto Martilli3, Gara Villalba1,4,*

1Sostenipra Research Group (SGR 01412), Institute of Environmental Sciences and Technology (MDM-2015-0552), Z Building, Universitat Autònoma de Barcelona (UAB), Campus UAB, 08193 Bellaterra, Barcelona, Spain

2Department of Territory and Sustainability, Meteorological Service of Catalonia, Generalitat de Catalunya, Barcelona, Spain

3Research Center for Energy, Environment and Technology, CIEMAT, Madrid, Spain.

4Department of Chemical, Biological and Environmental Engineering, Universitat Autònoma de Barcelona (UAB), Campus UAB, 08193 Bellaterra, Barcelona, Spain



Corresponding author: gara.villalba@uab.cat


All rights lie with the authors. 

This Zenodo repository contains the WRF-Comfort output for the REFERENCE simulations (BASE) and COOL ROOF adaptation strategy (COOLROOFS) for the corrent (2018), middle-century (MID-2050) and end-of-the-century (END-2100). Within each wrfout file, you can to analyze multiple atmospheric variables resultin from WRF-Comfort simulations.
DOI: 10.5281/zenodo.15130351
title: VAMPIRE: Van Allen belt Multi-day Predictions by Implementing a Random forest for Electrons - Datasets and Pre-trained Forests

description: Datasets and pretrained forests for the VAMPIRE radiation belt model, further details and an example python notebook can be found here :
DOI: 10.5281/zenodo.15130352
title: VAMPIRE: Van Allen belt Multi-day Predictions by Implementing a Random forest for Electrons - Datasets and Pre-trained Forests

description: Datasets and pretrained forests for the VAMPIRE radiation belt model, further details and an example python notebook can be found here :
DOI: 10.71931/ar6k-y785
title:  SINTETIC - VALLOMBROSA DATASET
DOI: 10.15468/dd.6gpfsp
title: Distribution records of Electrona antarctica

description: These records of Electrona antarctica were downloaded from GBIF on 2019-09-11.
DOI: 10.25345/c59p2wj78
title: MassIVE MSV000097504 - GNPS - &lt;Metabolomic analysis of sponge exometabolites from Mediterranean Underwater Caves (EXP2)&gt;
title: This job contains the raw data pertaining to EXP2 as described in the article dedicated to the analysis of seawater chemical composition in four selected Mediterranean underwater caves. Five sponges species were selected for this experiment and three series of exometabolites captures (ExoM) in aquarium were performed for each species. Sponge species: HF = Haliclona fulva HM = Haliclona mucosa OT = Oscarella tuberculata IV = Ircinia variabilis PF = Petrosia ficiformis EB = sponge crude extracts CT = seawater control (CTRL)(without sponge) DVB = Divinylbenzene SPE disks used as SPE blank MeOH = solvent use as control (CTRL) Selected cave seawater samples from EXP1 were added in these metabolomic sequence for comparison purpose: GSO = SD part of the cave GO = D part of the cave FIG = Figuier cave Mej = Mejean cave
DOI: 10.15468/dd.5ruapt
title: Distribution records of Gymnoscopelus opisthopterus

description: These records of Gymnoscopelus opisthopterus were downloaded from GBIF on 2019-09-11.
DOI: 10.15468/dd.jryhz2
title: Distribution records of Gymnoscopelus braueri

description: These records of Gymnoscopelus braueri were downloaded from GBIF on 2019-09-11.
DOI: 10.5281/zenodo.15130372
title: Auxiliary data for Moustakis et al. 2025 "No compromise in efficiency from the co-application of a marine and a terrestrial CDR method"

description: The netcdf file "Moustakis_et_al_2025_Data.nc" contains all the variables presented in the figures of the manuscript of Moustakis et al. 2025: "No compromise in efficiency from the co-application of a marine and a terrestrial CDR method".

Please read the README.txt file for more information.

For any further queries please refer to the corresponding author, Yiannis Moustakis: yiannis.moustakis@geographie.uni-muenchen.de
DOI: 10.5281/zenodo.15130373
title: Auxiliary data for Moustakis et al. 2025 "No compromise in efficiency from the co-application of a marine and a terrestrial CDR method"

description: The netcdf file "Moustakis_et_al_2025_Data.nc" contains all the variables presented in the figures of the manuscript of Moustakis et al. 2025: "No compromise in efficiency from the co-application of a marine and a terrestrial CDR method".

Please read the README.txt file for more information.

For any further queries please refer to the corresponding author, Yiannis Moustakis: yiannis.moustakis@geographie.uni-muenchen.de
DOI: 10.15468/dd.5thrua
title: Distribution records of Gymnoscopelus nicholsi

description: These records of Gymnoscopelus nicholsi were downloaded from GBIF on 2019-09-11.
DOI: 10.15468/dd.gyvfj8
title: Distribution records of Krefftichthys anderssoni

description: These records of Krefftichthys anderssoni were downloaded from GBIF on 2019-09-11.
DOI: 10.15468/dd.6padyu
title: Distribution records of Protomyctophum bolini

description: These records of Protomyctophum bolini were downloaded from GBIF on 2019-09-11.
DOI: 10.15468/dd.hrepyw
title: Distribution records of Gymnoscopelus bolini

description: These records of Gymnoscopelus bolini were downloaded from GBIF on 2019-09-11.
DOI: 10.5281/zenodo.15130392
title: Farmers' Protest Tweets 2020-21

description: Contents

The dataset consists of two CSV files:





Tweets File: Contains tweet-level data that include the hashtag #FarmersProtest, collected from November 1, 2020, onward.




Users File: Contains metadata about the Twitter users who posted tweets using the hashtag.



The latest version of the dataset (updated November 21, 2021) includes approximately 1,000,000 tweets posted by around 170,000 unique Twitter users, covering the period from November 1, 2020, to November 21, 2021.
DOI: 10.5281/zenodo.15130393
title: Farmers' Protest Tweets 2020-21

description: Contents

The dataset consists of two CSV files:





Tweets File: Contains tweet-level data that include the hashtag #FarmersProtest, collected from November 1, 2020, onward.




Users File: Contains metadata about the Twitter users who posted tweets using the hashtag.



The latest version of the dataset (updated November 21, 2021) includes approximately 1,000,000 tweets posted by around 170,000 unique Twitter users, covering the period from November 1, 2020, to November 21, 2021.
DOI: 10.15468/dd.9fvu4r
title: Distribution records of Lampanyctus achirus

description: These records of Lampanyctus achirus were downloaded from GBIF on 2019-09-11.
DOI: 10.15124/7ff5c860-bc02-41d1-8540-872422503cbe
title: Raw data - Effect of pyridinecarboxaldehyde functionalization on reactivity and N-terminal protein modification

description: Raw data associated with the publication 'Effect of pyridinecarboxaldehyde functionalization on reactivity and N-terminal protein modification'
DOI: 10.15468/dl.88yshq
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HigherGeography is Pakistan",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset includes 180 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001825-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.qrzrt5
title: Distribution records of Protomyctophum andriashevi

description: These records of Protomyctophum andriashevi were downloaded from GBIF on 2019-09-11.
DOI: 10.15468/dl.uf9ubn
title: Occurrence Download

description: A dataset containing 10 records in GBIF matching the query:

SELECT 
publishingcountry,
publisher,
COUNT(*) AS total_occurrences
FROM occurrence
WHERE publishingcountry IN ('IR', 'IQ', 'KW', 'SA', 'BH', 'QA', 'AE', 'OM')
GROUP BY publishingcountry, publisher;


 The dataset's 10 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001805-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14549035
title: JRC Global Proxy Maps of Managed and Unmanaged Forest

description: The dataset provides maps of Managed and Unmanaged Forests at a global scale, with spatial resolutions of 5 km and 50 km. These maps serve as a proxy for countries' managed and non-managed forest areas, produced to support comparability between independent estimates and national Greenhouse Gas (GHG) reporting under the UNFCCC. The methodology uses country maps of managed forests where available, but also makes assumptions where official data is not present, employing independent datasets that may not be fully consistent with national forest definitions when no other options are available.

Here, we present the version 1.0 (2024) of the “Global JRC Proxy Maps of Managed and Non-Managed Forests,” which is used to “translate” Bookkeeping Model results into national inventory definitions in the Global Carbon Budget 2024 (Friedlingstein et al., 2024). Country-level results of this translation are available through the Global Land Use Carbon Fluxes Data Hub: https://forest-observatory.ec.europa.eu/carbon/fluxes. This dataset will be updated as better information becomes available.
DOI: 10.5281/zenodo.14549036
title: JRC Global Proxy Maps of Managed and Unmanaged Forest

description: The dataset provides maps of Managed and Unmanaged Forests at a global scale, with spatial resolutions of 5 km and 50 km. These maps serve as a proxy for countries' managed and non-managed forest areas, produced to support comparability between independent estimates and national Greenhouse Gas (GHG) reporting under the UNFCCC. The methodology uses country maps of managed forests where available, but also makes assumptions where official data is not present, employing independent datasets that may not be fully consistent with national forest definitions when no other options are available.

Here, we present the version 1.0 (2024) of the “Global JRC Proxy Maps of Managed and Non-Managed Forests,” which is used to “translate” Bookkeeping Model results into national inventory definitions in the Global Carbon Budget 2024 (Friedlingstein et al., 2024). Country-level results of this translation are available through the Global Land Use Carbon Fluxes Data Hub: https://forest-observatory.ec.europa.eu/carbon/fluxes. This dataset will be updated as better information becomes available.
DOI: 10.15468/dl.d59tkh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "OccurrenceId" : [
 "is one of (IAvH:SSEYC:CHC-DJP-LCP:ANIMALIAPLANTAE:ESPECIMENPRESERVADO:I2D-BIO_2015_IN101:1085)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001828-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13328696
title: Alive and Dead Trees on Aerial Imagery and nDSM

description: This dataset includes manually delineated tree crowns, distinguishing between alive and dead trees in the Harz Mountains, for individual tree detection over three distinct years: 2009, 2016, and 2022. It features aerial imagery (RGBI), normalized Digital Surface Models (nDSM) at a 20 cm ground sampling distance (GSD), and corresponding annotations. The dataset is organized into training and testing sets.

For more Information: README
DOI: 10.5281/zenodo.13328697
title: Alive and Dead Trees on Aerial Imagery and nDSM

description: This dataset includes manually delineated tree crowns, distinguishing between alive and dead trees in the Harz Mountains, for individual tree detection over three distinct years: 2009, 2016, and 2022. It features aerial imagery (RGBI), normalized Digital Surface Models (nDSM) at a 20 cm ground sampling distance (GSD), and corresponding annotations. The dataset is organized into training and testing sets.

For more Information: README
DOI: 10.5281/zenodo.15130411
title: Alive and Dead Trees on Aerial Imagery and nDSM

description: This dataset includes manually delineated tree crowns, distinguishing between alive and dead trees in the Harz Mountains, for individual tree detection over three distinct years: 2009, 2016, and 2022. It features aerial imagery (RGBI), normalized Digital Surface Models (nDSM) at a 20 cm ground sampling distance (GSD), and corresponding annotations. The dataset is organized into training and testing sets.

For more Information: README
DOI: 10.15468/dd.7gp7fz
title: Distribution records of Lampanyctus macdonaldi

description: These records of Lampanyctus macdonaldi were downloaded from GBIF on 2019-09-11.
DOI: 10.15468/dl.2xn9ne
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "OccurrenceId" : [
 "is one of (IAvH:SSEYC:CHC-DJP-LCP:ANIMALIAPLANTAE:ESPECIMENPRESERVADO:I2D-BIO_2015_IN101:1085)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001832-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jr83m8
title: Occurrence Download

description: A dataset containing 723 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crossoptilon mantchuricum Swinhoe, 1863"
 ]
}

 The dataset includes 723 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001831-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28722799
title: Analysis of the molecular interaction of mitragynine from kratom with human α<sub>1</sub>-acid glycoprotein: biophysical and molecular modeling investigations

description: Mitragynine (MTG), the primary psychoactive alkaloid in Mitragyna speciosa (kratom), has garnered much attention for its therapeutic properties, which is attributed mainly to its selective action on opioid receptors. Despite its clinical potential, the molecular framework of its binding to plasma proteins remains incomplete. Specifically, no studies have thoroughly examined its interaction with α1-acid glycoprotein (AAG), a carrier protein in the circulatory system that influences drug disposition and bioavailability. Hence, this study aims to explore the binding dynamics between MTG and AAG using a combination of spectroscopic, calorimetric, microscopic, and computational methods. Based on isothermal titration calorimetric and fluorescence studies, an intermediate affinity for the MTG–AAG binding was determined (<i>K</i><sub>a</sub> ∼ 10<sup>5</sup> M<sup>−1</sup>). Despite evidence of microenvironmental changes around Trp residues, MTG binding did not disrupt the overall structural integrity of AAG. Thermodynamic analysis indicated that the MTG–AAG interaction was energetically favorable, and enthalpy driven mainly by hydrogen bonding and van der Waals forces, with negative entropy change suggesting a more ordered complex formation. Docking analysis showed MTG embedded more deeply within the central cavity of variant F1*S, enhancing complex stability, as opposed to binding near the cavity entrance in variant A. Molecular dynamics simulations supported the stable complexation of MTG with both AAG variants, with variant F1*S maintaining more structural compactness while variant A exhibited slight unfolding upon binding. These findings have clear significance on the potential therapeutic applications of kratom-derived drugs, especially those structurally related to MTG.
DOI: 10.6084/m9.figshare.28722799.v1
title: Analysis of the molecular interaction of mitragynine from kratom with human α<sub>1</sub>-acid glycoprotein: biophysical and molecular modeling investigations

description: Mitragynine (MTG), the primary psychoactive alkaloid in Mitragyna speciosa (kratom), has garnered much attention for its therapeutic properties, which is attributed mainly to its selective action on opioid receptors. Despite its clinical potential, the molecular framework of its binding to plasma proteins remains incomplete. Specifically, no studies have thoroughly examined its interaction with α1-acid glycoprotein (AAG), a carrier protein in the circulatory system that influences drug disposition and bioavailability. Hence, this study aims to explore the binding dynamics between MTG and AAG using a combination of spectroscopic, calorimetric, microscopic, and computational methods. Based on isothermal titration calorimetric and fluorescence studies, an intermediate affinity for the MTG–AAG binding was determined (<i>K</i><sub>a</sub> ∼ 10<sup>5</sup> M<sup>−1</sup>). Despite evidence of microenvironmental changes around Trp residues, MTG binding did not disrupt the overall structural integrity of AAG. Thermodynamic analysis indicated that the MTG–AAG interaction was energetically favorable, and enthalpy driven mainly by hydrogen bonding and van der Waals forces, with negative entropy change suggesting a more ordered complex formation. Docking analysis showed MTG embedded more deeply within the central cavity of variant F1*S, enhancing complex stability, as opposed to binding near the cavity entrance in variant A. Molecular dynamics simulations supported the stable complexation of MTG with both AAG variants, with variant F1*S maintaining more structural compactness while variant A exhibited slight unfolding upon binding. These findings have clear significance on the potential therapeutic applications of kratom-derived drugs, especially those structurally related to MTG.
DOI: 10.15125/bath-01399
title: Dataset for EVA 2023 Data Challenge

description: This data set provides the datasets generated by the three creators (data challenge organisers) and subsequently provided to the participants of the EVA 2023 Data Challenge. 

The dataset aims to capture the variety of contexts experienced in the analysis of environmental extremes data. This involves both univariate and multivariate problems. The univariate extremes problems involve inference for extreme quantiles when faced with additional complications such as covariates; data missing at random; and the need to convert the inference into design levels which account for different losses from over- and under-design. 

The data set consists of five data files:
1. Amaurot: Training data given to the participants for Tasks 1 and 2
2. AmaurotTestSet: Collection of test data points for which predictions had to be submitted
3. Coputopia: Data participants had to consider for Task 3
4. UtopulaU1 + UtopulaU2: Data participants had to consider for Task 4

The aim of this dataset, developed for the Data Challenge, is to assess performance in multivariate extremes in a way that is independent of marginal extremes abilities. Consequently, the multivariate problems relate to data where the univariate marginal distributions are all known.
description: Data is entirely simulated using methodology from the statistical research area of Extreme Value Theory. Further details on the methodology can be found in the associated paper.
description: Data was simulated using the statistical programming language R.
DOI: 10.15468/dl.2x8hyq
title: Occurrence Download

description: A dataset containing 36868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Vicia sativa L., Vicia faba L., Vicia ervilia (L.) Willd., Vicia villosa subsp. villosa, Vicia villosa Brot., Vicia villosa var. glabrescens W.D.J.Koch, Vicia villosa var. pseudocracca (Bertol.) Hormat, Vicia villosa subsp. simulans Maire, Vicia villosa subsp. glabrescens (W.D.J.Koch) Soó, 1940, Vicia villosa subsp. pseudovillosa (Schur) Murr, Vicia villosa var. littoralis Rouy, Vicia villosa var. latifolia Wimm. & Grab., Vicia villosa Roth, Vicia sativa Guss., 1828, Vicia sativa Henry, 1896, Vicia benghalensis L., Vicia benghalensis hort. ex Link, 1822, Vicia benghalensis hort., Vicia benghalensis var. benghalensis)"
 ]
}

 The dataset includes 36868 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001830-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.yrxuzz
title: Distribution records of Electrona carlsbergi

description: These records of Electrona carlsbergi were downloaded from GBIF on 2019-09-11.