cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18144524
title: Replication material for paper "Bakaki, Bernauer (2018): Do economic conditions affect public support for environmental policy? Journal of Cleaner Production. DOI: 10.1016/j.jclepro.2018.05.162"

description: Replication material for paper "Bakaki, Bernauer (2018): Do economic conditions affect public support for environmental policy? Journal of Cleaner Production. DOI: 10.1016/j.jclepro.2018.05.162"
DOI: 10.5281/zenodo.18144525
title: Replication material for paper "Bakaki, Bernauer (2018): Do economic conditions affect public support for environmental policy? Journal of Cleaner Production. DOI: 10.1016/j.jclepro.2018.05.162"

description: Replication material for paper "Bakaki, Bernauer (2018): Do economic conditions affect public support for environmental policy? Journal of Cleaner Production. DOI: 10.1016/j.jclepro.2018.05.162"
DOI: 10.15468/dl.gkkq96
title: Occurrence Download

description: A dataset containing 37680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spheniscus magellanicus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 37680 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072632-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15307662
title: Gap-Free Arctic Sea Ice Albedo Dataset (2000–2024; Daily, May–September)

description: The dataset provides daily Arctic sea ice albedo for the melt season (May–September, annually) from 2000 to 2024 at 12.5 km spatial resolution, covering regions north of 60° N, referenced to the Polar Stereographic North projection (EPSG:3413, WGS84) and distributed as GeoTIFF format. Data records are organized into annual directories, with files named Sea_Ice_Albedo_YYYYMMDD_Daily_12.5km.tif. 

The gap-free dataset is reconstructed by combining Moderate Resolution Imaging Spectroradiometer (MODIS) Terra observations with passive microwave brightness temperatures (Tb) through a radiative transfer model-based machine learning approach that accounts for sea ice anisotropy and melt-pond effects, yielding a spatiotemporally continuous Arctic sea-ice albedo record for 2000–2024 (May–September each year).

Daily sea ice extent is delineated using the industry-standard sea ice concentration (SIC) threshold of >15%, using concentration inputs from the National Snow and Ice Data Center (NSIDC) Distributed Active Archive Center (DAAC) to ensure temporal continuity: Version 2 Sea Ice Concentrations from Nimbus‑7 SMMR and DMSP SSM/I‑SSMIS (NSIDC‑0051) data (covering the period from 2000 to July 2024) and the near‑real‑time DMSP SSMIS daily polar gridded sea ice concentrations (NSIDC‑0081) data from July 2024 onward.
DOI: 10.5281/zenodo.15307663
title: Gap-Free Arctic Sea Ice Albedo Dataset (2000–2024; Daily, May–September)

description: The dataset provides daily Arctic sea ice albedo for the melt season (May–September, annually) from 2000 to 2024 at 12.5 km spatial resolution, covering regions north of 60° N, referenced to the Polar Stereographic North projection (EPSG:3413, WGS84) and distributed as GeoTIFF format. Data records are organized into annual directories, with files named Sea_Ice_Albedo_YYYYMMDD_Daily_12.5km.tif. 

The gap-free dataset is reconstructed by combining Moderate Resolution Imaging Spectroradiometer (MODIS) Terra observations with passive microwave brightness temperatures (Tb) through a radiative transfer model-based machine learning approach that accounts for sea ice anisotropy and melt-pond effects, yielding a spatiotemporally continuous Arctic sea-ice albedo record for 2000–2024 (May–September each year).

Daily sea ice extent is delineated using the industry-standard sea ice concentration (SIC) threshold of >15%, using concentration inputs from the National Snow and Ice Data Center (NSIDC) Distributed Active Archive Center (DAAC) to ensure temporal continuity: Version 2 Sea Ice Concentrations from Nimbus‑7 SMMR and DMSP SSM/I‑SSMIS (NSIDC‑0051) data (covering the period from 2000 to July 2024) and the near‑real‑time DMSP SSMIS daily polar gridded sea ice concentrations (NSIDC‑0081) data from July 2024 onward.
DOI: 10.5281/zenodo.18144555
title: Replication material for paper "Rudolph, Kuhn (2018): Natural disasters and political participation: Evidence from the 2002 and 2013 floods in Germany. German Politics. DOI: 10.1080/09644008.2017.1287900"

description: Replication material for paper "Rudolph, Kuhn (2018): Natural disasters and political participation: Evidence from the 2002 and 2013 floods in Germany. German Politics. DOI: 10.1080/09644008.2017.1287900"
DOI: 10.5281/zenodo.18144556
title: Replication material for paper "Rudolph, Kuhn (2018): Natural disasters and political participation: Evidence from the 2002 and 2013 floods in Germany. German Politics. DOI: 10.1080/09644008.2017.1287900"

description: Replication material for paper "Rudolph, Kuhn (2018): Natural disasters and political participation: Evidence from the 2002 and 2013 floods in Germany. German Politics. DOI: 10.1080/09644008.2017.1287900"
DOI: 10.5281/zenodo.18143938
title: Data of manuscript "Physicochemical Recycling of Cotton from Textile Waste Driven by the Ionic Liquid [DBNH][AcO] via Wet Spinning Through Factorial Design of Experiments", in Applied Sciences - MDPI (2026)

description: Data of the manuscript: 




Title: Physicochemical Recycling of Cotton from Textile Waste Driven by the Ionic Liquid [DBNH][AcO] via Wet Spinning Through Factorial Design of Experiments 




Authors: Paula Mercado-Martínez 1, Sergi Gonzalez-Zaragozá 1, Javier Pascual-Bernabéu 2, Karen Gutiérrez-Silva1, Gorka Marco-Velasco 1, Josep-Pasqual Cerisuelo 1, Jose D. Badia-Valiente 1,* and Amparo Cháfer 1,* 

Journal: Applied Sciences, MDPI (2026)




Affiliations:

1 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. 




2  Textile Industry Research Association (AITEX), Plaza Emilio Sala, 1, Alcoy, 03801, Spain 




* Correspondence: jose.badia@uv.es (J.D.B-V.); amparo.chafer@uv.es (A.C.) 


 



Funding: The authors acknowledge the financial aid of Generalitat Valenciana, Spain, through the projects CHEMUP III (IMAMCA/2023/6), CHEMUP 2024 (IMAMCA/2024/6) and CRESOL (GV/2021/011). The PhD grant of G. Marco-Velasco was also funded by MCIU (FPU23/02636). 



Additional information :




For further information beyond the details in the manuscript, please contact with: jose.badia@uv.es; amparo.chafer@uv.es.
DOI: 10.5281/zenodo.18143939
title: Data of manuscript "Physicochemical Recycling of Cotton from Textile Waste Driven by the Ionic Liquid [DBNH][AcO] via Wet Spinning Through Factorial Design of Experiments", in Applied Sciences - MDPI (2026)

description: Data of the manuscript: 




Title: Physicochemical Recycling of Cotton from Textile Waste Driven by the Ionic Liquid [DBNH][AcO] via Wet Spinning Through Factorial Design of Experiments 




Authors: Paula Mercado-Martínez 1, Sergi Gonzalez-Zaragozá 1, Javier Pascual-Bernabéu 2, Karen Gutiérrez-Silva1, Gorka Marco-Velasco 1, Josep-Pasqual Cerisuelo 1, Jose D. Badia-Valiente 1,* and Amparo Cháfer 1,* 

Journal: Applied Sciences, MDPI (2026)




Affiliations:

1 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. 




2  Textile Industry Research Association (AITEX), Plaza Emilio Sala, 1, Alcoy, 03801, Spain 




* Correspondence: jose.badia@uv.es (J.D.B-V.); amparo.chafer@uv.es (A.C.) 


 



Funding: The authors acknowledge the financial aid of Generalitat Valenciana, Spain, through the projects CHEMUP III (IMAMCA/2023/6), CHEMUP 2024 (IMAMCA/2024/6) and CRESOL (GV/2021/011). The PhD grant of G. Marco-Velasco was also funded by MCIU (FPU23/02636). 



Additional information :




For further information beyond the details in the manuscript, please contact with: jose.badia@uv.es; amparo.chafer@uv.es.
DOI: 10.15468/dl.jysf4a
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhinopithecus"
 ]
}

 The dataset includes 252 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072635-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rq5aw9
title: Occurrence Download

description: A dataset containing 514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((17.07340 20.75126,140.92660 20.75126,140.92660 70.24874,17.07340 70.24874,17.07340 20.75126))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Kalidium foliatum"
 ]
}

 The dataset includes 514 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072636-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evvxy4
title: Occurrence Download

description: A dataset listing the 318 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Fossil, Specimen, Material sample, Human Observation, Machine Observation, Observation)",
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (NT, LC, CR, EN, VU)",
 "OccurrenceStatus is Present",
 "TaxonKey is Arthropoda",
 "Year 1991-2020"
 ]
}

 The dataset's 318 records were derived from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072631-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.frr0bm
title: Machine Learning for Interference Detection and Mitigation on Deep Space Telecom Signals

description: Detecting anomalies and interference is an essential capability of contemporary flight radios and ground support equipment. The advent of software-defined radios (SDRs) has made this task feasible. These radios allow real-time monitoring and potential mitigation of interference by adjusting frequency bands. This feature is useful as spacecraft components degrade and interference from other instruments may disrupt communications. The implementation of automated anomaly detection systems on SDRs can enhance both spacecraft and ground station testing by identifying abnormal waveforms and potential interference in communication channels. First, this work investigates how machine learning compares against classical signal processing approaches for the anomaly detection task on SDR signals, when no assumptions can be made about the interference signal. By adding more realistic assumptions to the modeled signals, we show cases where classical signal processing methods start to fail in comparison to machine learning approaches. In the second part, we explore the more general problem of mitigating the anomaly by removing it from the received signal. A classical approach (independent component analysis) is shown to be effective if the problem has more receivers than signal sources. This work considers an under-determined setting, i.e., the number of receivers is less than number of sources, where deep learning has been shown to be effective in separating multiple sources from one receiver, as illustrated in the literature for audio source separation.
DOI: 10.48577/jpl.7t8iph
title: Maintaining MAIA polarimetric and radiometric performance with routine on-board calibrator views

description: The Multi-Angle Imager for Aerosols (MAIA) mission, scheduled for launch in 2026, will investigate the effects of airborne particulate matter on human health. The satellite instrument contains a spectropolarimetric camera that is pointable in 2 axes, acquires images in 14 wavelength channels between 364 and 2124 nm, and measures linear Stokes parameters Q and U at 440, 646, and 1044 nm. After prelaunch calibration, the instrument demonstrated uncertainty &lt; 0.005 in degree of linear polarization and &lt; 0.4º in angle of linear polarization. Radiometric gain and spatial nonuniformity were also characterized at several temperatures. During operations, the camera will view a dark target several times each orbit and also observe an on-board calibrator (OBC) on most orbits. The OBC consists of a solar diffuser and 12 polarizers at different orientations in a 6 x 2 grid. Polarimetric calibration coefficients can be re-estimated by pointing the camera to view the 12 AOLP domains during a several minutes-long sequence near the orbit’s North pole. These observations will also be used to update the radiometric flat field when all pixels view the same portion of the calibrator. To account for changing solar illumination as the spacecraft moves in its orbit, the domains will be viewed in a varying order on different orbits. Also, for a subset of observations, the gimbal will remain fixed. Frequent updates using onboard data will maintain the high accuracy achieved in ground testing even as thermal fluctuations and exposure to space cause changes in performance.
DOI: 10.48577/jpl.tzffxd
title: The GUARDIAN System: Near-Real-Time Ionospheric Monitoring of Natural Hazards and Anthropogenic Events

description: No abstract available.
DOI: 10.48577/jpl.dbj0l9
title: Replicating Flyby Sampling of Salty Ocean World Ice Grains in the Laboratory

description: No abstract available.
DOI: 10.48577/jpl.fbd1b4
title: Integrating Satellite and Aircraft Observations to Advance Air Quality Attribution and Policy Support in NASA’s ASIA-AQ Campaign

description: No abstract available.
DOI: 10.48577/jpl.byuflg
title: OCO-2/3 Quarterly Calibration Update

description: No abstract available.
DOI: 10.48577/jpl.52ynsb
title: THE DISCOVERY OF 25 MICRON INTERSTELLAR METHANOL

description: No abstract available.
DOI: 10.48577/jpl.wdezyf
title: Interannual variability of African regional biosphere carbon cycle observed from the space

description: No abstract available.
DOI: 10.48577/jpl.ngwtol
title: Relating Multi-Scale Plume Detections and Area Estimates of Methane Emissions

description: No abstract available.
DOI: 10.48577/jpl.pf6lcw
title: Biodiversity Proposal for the sustained presence of the topic of biodiversity within CEOS

description: No abstract available.
DOI: 10.48577/jpl.1nxkkp
title: Bias Correction For Error in OCO-2 Continuum Radiance?

description: No abstract available.
DOI: 10.48577/jpl.stlqbr
title: Synthesis: OCO-2 Calibration

description: No abstract available.
DOI: 10.48577/jpl.fpnicn
title: Maintaining MAIA polarimetric and radiometric performance with routine on-board calibrator views

description: No abstract available.
DOI: 10.48577/jpl.sgeouw
title: Photonic Oscillators Involving Bulk Optical Cavities

description: No abstract available.
DOI: 10.48577/jpl.o7na16
title: The Laplace Resonance: The Gravitational Engine Powering Jupiter’s Moons

description: No abstract available.
DOI: 10.48577/jpl.6p0fyq
title: Using ECCO State Estimate to understand the decadal variation of upper-ocean salinity in the Southeast Indian Ocean

description: No abstract available.
DOI: 10.48577/jpl.5d1or1
title: Accurate, Low-Latency Monitoring of Whole-Atmosphere CO₂ Growth Rates with OCO-2 Observations

description: No abstract available.
DOI: 10.48577/jpl.usqygd
title: PLANT FUNCTIONAL DIVERSITY IN THE EARTH SYSTEM

description: No abstract available.
DOI: 10.48577/jpl.etckuk
title: Defying Gravity: The Many Uses of Radio Doppler Data for Planetary Science

description: No abstract available.
DOI: 10.48577/jpl.bghiqf
title: A Dynamic Persistent Sea Level Prediction System

description: No abstract available.
DOI: 10.48577/jpl.ubjsnm
title: GUARDIAN Scout : First Global AI-Driven System for Automated Detection of Ionospheric Disturbances from Natural Hazards

description: No abstract available.
DOI: 10.48577/jpl.kwmtdy
title: OCO-2/3 Calibration Report

description: No abstract available.
DOI: 10.15468/dl.xz5aj8
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bubo scandiacus"
 ]
}

 The dataset includes 102 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072639-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.kzeyc0
title: High-Temporal-Resolution Methane Budget for California from Multiscale Inversion of Satellite, In-Situ, and Plume Observations

description: No abstract available.
DOI: 10.15468/dl.tv94ey
title: Occurrence Download

description: A dataset containing 332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Austria, Croatia, Hungary, Serbia, Slovenia)",
 "OccurrenceStatus is Present",
 "TaxonKey is Potamopyrgus antipodarum"
 ]
}

 The dataset includes 332 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072640-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26s5e6
title: Occurrence Download

description: A dataset containing 46151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Albania",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 46151 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072638-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18144564
title: Replication material for paper "Spilker, Bernauer, Umaña (2018): What Kinds of Trade Liberalization Agreements Do People in Developing Countries Want? International Interactions. DOI: 10.1080/03050629.2018.1436316"

description: Replication material for paper "Spilker, Bernauer, Umaña (2018): What Kinds of Trade Liberalization Agreements Do People in Developing Countries Want? International Interactions. DOI: 10.1080/03050629.2018.1436316"
DOI: 10.5281/zenodo.18144565
title: Replication material for paper "Spilker, Bernauer, Umaña (2018): What Kinds of Trade Liberalization Agreements Do People in Developing Countries Want? International Interactions. DOI: 10.1080/03050629.2018.1436316"

description: Replication material for paper "Spilker, Bernauer, Umaña (2018): What Kinds of Trade Liberalization Agreements Do People in Developing Countries Want? International Interactions. DOI: 10.1080/03050629.2018.1436316"
DOI: 10.34740/kaggle/dsv/14388974
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.48577/jpl.gykulb
title: Galileo Orbiter Radio Science PDS Archive Software Interface Specification Raw Data

description: No abstract available.
DOI: 10.34740/kaggle/dsv/14389002
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.2vfwmx
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, Observation.org, Nature data from around the World, Herbarium GAT, Pl@ntNet observations, United Herbaria of the University and ETH Zurich, University of Vienna, Institute for Botany - Herbarium WU, Insektenvielfalt Ahe/Weichelsee, University of Alabama Herbarium, GEO-Hauptveranstaltung (NLP Harz / Hochharz))",
 "GadmGid is DEU.9_1",
 "TaxonKey is Betonica officinalis"
 ]
}

 The dataset includes 154 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072642-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18144406
title: SHIRENDA-WIND DATASET. A novel method for modeling renewable power production using ERA5: Spanish wind energy. https://doi.org/10.1016/j.seta.2025.104397.

description: Enhanced wind energy Capacity Factors data base (NUTS 3, hourly, 1990-2020) for Spain, resulting from this work:

 

Antonio Jiménez-Garrote, Guadalupe Sánchez-Hernández, Miguel López-Cuesta, Inés María Galván, Ricardo Aler, David Pozo-Vázquez, A novel method for modeling renewable power production using ERA5: Spanish wind energy, Sustainable Energy Technologies and Assessments, Volume 81, 2025, 104397, ISSN 2213-1388, https://doi.org/10.1016/j.seta.2025.104397. https://www.sciencedirect.com/science/article/pii/S2213138825002280

 

When quoting this dataset, please refer this publication.

 

This study was conducted in the framework the MET4LOWCAR research project (reference PID2019-107455RB-C21/AEI/10.13039/ 501100011033 and PID2019-107455RB-C22/AEI/10.13039/5011 00011033), financed by the Spanish Research Agency. Guadalupe Sánchez-Hernández also thanks the support from UE-Junta de Andalucía co-funded postdoctoral fellowship PAIDI2020-DOC_01110. The authors acknowledge the Spanish TSO Red Eléctrica for yielding actual wind and solar PV generation data.
DOI: 10.5281/zenodo.18144405
title: SHIRENDA-WIND DATASET. A novel method for modeling renewable power production using ERA5: Spanish wind energy. https://doi.org/10.1016/j.seta.2025.104397.

description: Enhanced wind energy Capacity Factors data base (NUTS 3, hourly, 1990-2020) for Spain, resulting from this work:

 

Antonio Jiménez-Garrote, Guadalupe Sánchez-Hernández, Miguel López-Cuesta, Inés María Galván, Ricardo Aler, David Pozo-Vázquez, A novel method for modeling renewable power production using ERA5: Spanish wind energy, Sustainable Energy Technologies and Assessments, Volume 81, 2025, 104397, ISSN 2213-1388, https://doi.org/10.1016/j.seta.2025.104397. https://www.sciencedirect.com/science/article/pii/S2213138825002280

 

When quoting this dataset, please refer this publication.

 

This study was conducted in the framework the MET4LOWCAR research project (reference PID2019-107455RB-C21/AEI/10.13039/ 501100011033 and PID2019-107455RB-C22/AEI/10.13039/5011 00011033), financed by the Spanish Research Agency. Guadalupe Sánchez-Hernández also thanks the support from UE-Junta de Andalucía co-funded postdoctoral fellowship PAIDI2020-DOC_01110. The authors acknowledge the Spanish TSO Red Eléctrica for yielding actual wind and solar PV generation data.
DOI: 10.15468/dl.9f2sm2
title: Occurrence Download

description: A dataset containing 427 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Austria, Croatia, Hungary, Serbia, Slovenia)",
 "OccurrenceStatus is Present",
 "TaxonKey is Sinanodonta woodiana"
 ]
}

 The dataset includes 427 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072644-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agqt4r
title: Occurrence Download

description: A dataset containing 934959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strepera graculina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 934959 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072634-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.