cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18421718
title: Soil Greenhouse Gas Emissions from a Minnesota Farm Field, 2024 Growing Season

description: Dataset of soil gas chamber measurements for CO2 and N2O from a rainfed field near Morris, Minnesota during the 2024 growing season.
description: This work is funded in part through the U.S. Department of Energy ARPA-E program under Cooperative Agreement DE-AR0001226, and is led by the Daugherty Water for Food Global Institute (DWFI) at the University of Nebraska.

 Restricted Access description:

 Data file is password-protected. Users can request the password via email to dwfiresearch@nebraska.edu, but must accompany the request with written (1) justification to access the data, (2) agreement to acknowledge the Daugherty Water for Food Global Institute at the University of Nebraska (DWFI) and the Department of Energy ARPA-E program in any resulting publications, and (3) confirmation that the data will be held confidentially and will not be shared or published without written consent of DWFI.
DOI: 10.15468/dl.xfhgpq
title: Occurrence Download

description: A dataset containing 75867 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alopias vulpinus"
 ]
}

 The dataset includes 75867 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000718-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17887/wur01-6l9d2x
title: FABDEM v1.0 referenced to mean sea level (MDT HYBRID-CNES-CLS2022)

description: The impacts of sea-level rise and other hazards on the world's coasts are determined by coastal sea-level height and land elevation. Their correct alignment is crucial for reliable impact assessments. However, we found that over 99% of the evaluated assessments handled sea-level and land elevation data inadequately and substantially misjudged sea level relative to coastal elevation. To facilitate proper, future (re)assessments of coastal hazard impacts, we provide several state-of-the-art and ready-to-use global Digital Elevation Models (DEM) properly converted to latest coastal sea-level height for a 500km-wide coastal zone. This dataset is one of those.
DOI: 10.5281/zenodo.18416741
title: REFLEKSIV YONDASHUV ASOSIDA 5–6-SINF O'QUVCHILARINING KOMMUNIKATIV KOMPETENSIYALARINI RIVOJLANTIRISH

description: Mazkur ilmiy maqolada refleksiv yondashuv asosida 5–6-sinf o‘quvchilarining kommunikativ kompetensiyalarini rivojlantirishning nazariy va amaliy jihatlari keng yoritilgan. Tadqiqot davomida kommunikativ kompetensiya tushunchasining mazmuni, uning tarkibiy qismlari hamda refleksiv yondashuvning pedagogik mohiyati tahlil qilinadi. Shuningdek, refleksiv metodlar orqali o‘quvchilarning nutqiy faolligi, muloqot madaniyati va mustaqil fikrlash ko‘nikmalarini rivojlantirish imkoniyatlari ochib beriladi.
DOI: 10.5281/zenodo.18416740
title: REFLEKSIV YONDASHUV ASOSIDA 5–6-SINF O'QUVCHILARINING KOMMUNIKATIV KOMPETENSIYALARINI RIVOJLANTIRISH

description: Mazkur ilmiy maqolada refleksiv yondashuv asosida 5–6-sinf o‘quvchilarining kommunikativ kompetensiyalarini rivojlantirishning nazariy va amaliy jihatlari keng yoritilgan. Tadqiqot davomida kommunikativ kompetensiya tushunchasining mazmuni, uning tarkibiy qismlari hamda refleksiv yondashuvning pedagogik mohiyati tahlil qilinadi. Shuningdek, refleksiv metodlar orqali o‘quvchilarning nutqiy faolligi, muloqot madaniyati va mustaqil fikrlash ko‘nikmalarini rivojlantirish imkoniyatlari ochib beriladi.
DOI: 10.6084/m9.figshare.31058020.v1
title: Influence of moss structural and functional traits on soil water fluxes and soil erosion

description: This dataset contains the following structural traits for the two moss species <i>Rhytidiadelphus loreus</i> (Hedw.) Warnst. and <i>Thuidium tamariscinum</i> (Hedw.) Schimp.: shoot number, shoot length (sheet "shoots"), branch number, branch length (sheet "branches"), leaf number, leaf area (sheet "leaf area"), cushion height (sheet "cushion height"), and ramification index (sheet "ramification index"). Furthermore, the maximum water storage capacity was measured for both moss species (sheet " water storage capacity"). The last sheet includes data for sediment discharge, surface runoff and water percolation produced during rainfall simulations with infiltration boxes that were filled with undisturbed soil samples of three treatments (covered by <i>R. loreus, </i>covered by<i> T. tamariscinum, </i>bare soil<i>).</i>
DOI: 10.5281/zenodo.18414844
title: AccesS BIM file and real-time building measurements

description: This dataset contains building information and monitoring data collected within the AccesS project—Enhancing Accessibility and Sustainability in Smart Cities and Smart Buildings: The Universal Accessibility Suite Initiative. It covers a one-year monitoring period (2025–2026) and is based on measurements collected at the CERTH nZEB Smart House, which is used as a testbed. The monitoring data include indoor environmental conditions and building-level energy measurements. The data extend previously published datasets from the H2020 project D²EPC and are fully compatible with them, enabling unified analysis and further research. The following files are provided:

i) The BIM-based data model of the smart home, provided in IFC format (.ifc file)

ii) Building indoor and energy collected measurements during the period 2025–2026 (in separate .json files):



Entire building: electrical energy consumption (lighting & appliances)

Building PV installation: electrical energy production

Living room: CO₂, temperature, humidity, luminance, presence, PM₂.₅, TVOCs, loudness

Office: temperature, humidity, luminance, presence


Technical infoInstalled sensors/meters:



Entire building: Gavazzi 271 meter with public ID 1aa752e1-2797-4d10-b5fa-bbbaf0402927

Building PV installation: Fronius Symo inverter with public ID 1dcc86c8-1593-4b60-9e4a-513ddeb6f1d4

Living room: MCO Home A8-9 multisensor with public ID 7f3da9a1-cfaf-472e-b703-8a81775a5ac1

Office: Aeotec Multisensor 6 with public ID b1fa31e1-3658-466a-ba09-1a1fa4b954d0
DOI: 10.5281/zenodo.18414845
title: AccesS BIM file and real-time building measurements

description: This dataset contains building information and monitoring data collected within the AccesS project—Enhancing Accessibility and Sustainability in Smart Cities and Smart Buildings: The Universal Accessibility Suite Initiative. It covers a one-year monitoring period (2025–2026) and is based on measurements collected at the CERTH nZEB Smart House, which is used as a testbed. The monitoring data include indoor environmental conditions and building-level energy measurements. The data extend previously published datasets from the H2020 project D²EPC and are fully compatible with them, enabling unified analysis and further research. The following files are provided:

i) The BIM-based data model of the smart home, provided in IFC format (.ifc file)

ii) Building indoor and energy collected measurements during the period 2025–2026 (in separate .json files):



Entire building: electrical energy consumption (lighting & appliances)

Building PV installation: electrical energy production

Living room: CO₂, temperature, humidity, luminance, presence, PM₂.₅, TVOCs, loudness

Office: temperature, humidity, luminance, presence


Technical infoInstalled sensors/meters:



Entire building: Gavazzi 271 meter with public ID 1aa752e1-2797-4d10-b5fa-bbbaf0402927

Building PV installation: Fronius Symo inverter with public ID 1dcc86c8-1593-4b60-9e4a-513ddeb6f1d4

Living room: MCO Home A8-9 multisensor with public ID 7f3da9a1-cfaf-472e-b703-8a81775a5ac1

Office: Aeotec Multisensor 6 with public ID b1fa31e1-3658-466a-ba09-1a1fa4b954d0
DOI: 10.15468/dl.x4jj4m
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Didymodoxa caffra",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 81 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000146-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqykhp
title: Occurrence Download

description: A dataset containing 742 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence, Observation)",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Solidago canadensis",
 "Year 1980-2026"
 ]
}

 The dataset includes 742 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000148-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvt5p9
title: Occurrence Download

description: A dataset containing 19209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-96.15864 -62.80014,-57.77352 -62.80014,-57.77352 9.531,-96.15864 9.531,-96.15864 -62.80014))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphipoda",
 "Year 1904-2026"
 ]
}

 The dataset includes 19209 records from 189 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000147-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18415990
title: Surfactant Adsorption to Different Fluid Interfaces

description: Collection of literature data on interfacial tension reduction of three surfactants (SDS, DTAB, Brij 35) at the air-water and various oil-water interfaces, reporting equilibrium interfacial tension, CMC, surface excess, and minimum area per molecule.
DOI: 10.5281/zenodo.18416775
title: ИНТЕРАКТИВНЫЕ ПЛАТФОРМЫ В ФОРМИРОВАНИИ ГРАММАТИЧЕСКИХ НАВЫКОВ

description: В данной научной работе рассматриваются возможности интерактивных образовательных платформ в процессе формирования грамматических навыков при изучении иностранных языков. Анализируется влияние цифровых технологий на эффективность усвоения грамматического материала, развитие языковой компетенции и повышение мотивации обучающихся. В работе представлены теоретические основы интерактивного обучения, классификация цифровых платформ, а также практические аспекты их применения в образовательном процессе. Сделан вывод о высокой результативности использования интерактивных платформ в современном обучении.
DOI: 10.5281/zenodo.18416774
title: ИНТЕРАКТИВНЫЕ ПЛАТФОРМЫ В ФОРМИРОВАНИИ ГРАММАТИЧЕСКИХ НАВЫКОВ

description: В данной научной работе рассматриваются возможности интерактивных образовательных платформ в процессе формирования грамматических навыков при изучении иностранных языков. Анализируется влияние цифровых технологий на эффективность усвоения грамматического материала, развитие языковой компетенции и повышение мотивации обучающихся. В работе представлены теоретические основы интерактивного обучения, классификация цифровых платформ, а также практические аспекты их применения в образовательном процессе. Сделан вывод о высокой результативности использования интерактивных платформ в современном обучении.
DOI: 10.5281/zenodo.18416405
title: Radial Dispersion Peaks in Weak Lensing: KiDS and INSPIRE Data

description: This repository provides the data products, analysis scripts, and figures associated with the empirical weak-lensing tests of the Cosmic Elastic Theory (CET).The focus of this release is a fully model-independent analysis of radial dispersion peaks in weak gravitational lensing, using KiDS DR4 random anchors and structurally selected relic galaxies. Rather than relying on parametric halo models or signal amplitude, the analysis explores the geometric location of variance maxima as an observable of structural organisation.All materials are organised by analysis stage to ensure transparency and reproducibility. The repository is intended as a reference dataset for exploratory, phenomenological, and comparative studies of weak-lensing dispersion statistics.
DOI: 10.5281/zenodo.18416643
title: Tao's Equational Proof Challenge Accepted

description: This package contains the raw evaluation data for the paper Tao’s Equational Proof Challenge Accepted. The source code is available at https://github.com/kondylidou/Krympa.
DOI: 10.17887/wur01-gx7s1b
title: DeltaDTM v1.1 referenced to mean sea level (MDT HYBRID-CNES-CLS2022)

description: The impacts of sea-level rise and other hazards on the world's coasts are determined by coastal sea-level height and land elevation. Their correct alignment is crucial for reliable impact assessments. However, we found that over 99% of the evaluated assessments handled sea-level and land elevation data inadequately and substantially misjudged sea level relative to coastal elevation. To facilitate proper, future (re)assessments of coastal hazard impacts, we provide several state-of-the-art and ready-to-use global Digital Elevation Models (DEM) properly converted to latest coastal sea-level height for a 500km-wide coastal zone. This dataset is one of those.
DOI: 10.15468/dl.96d29x
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Discocnide mexicana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 121 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000150-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwty8v
title: Occurrence Download

description: A dataset containing 96819 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Illinois Natural History Survey - Mollusk Collection"
 ]
}

 The dataset includes 96819 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000130-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14278/rodare.4374
title: Research Data: Recovery of rare earth elements by peptide-induced Ln3+ precipitation

description: Electronic waste and wastewater from mining, industry, etc. are valuable secondary sources of strategic high-tech metals like rare earth elements (REEs). Due to low concentrations of REEs, their recovery is challenging. Current separation processes have high energy consumption and use large amounts of toxic or expensive reagents, resulting in contaminated water and its costly reprocessing. Biomolecules, as environmentally friendly alternatives, are able to overcome these economic and ecological issues. Metal-binding peptides are convincing not only because of their high selectivity and stability under various conditions. In case of biobased production, they are also “renewable” resources and are neither toxic nor difficult to degrade at the process end. Here, we successfully utilized phage surface display (PSD) to screen for peptides with high affinity for REEs. The selected peptide GC22 (CEPDLWIDRFWC), identified by PSD in combination with next-generation sequencing, revealed the ability to precipitate lanthanide and yttrium ions from aqueous solutions in large quantities (&gt; 60 %). It largely favors all REE ions over other commonly occurring metal ions in wastewater. The amorphous REE-GC22-precipitate is characterized by curled and spherical structures. Nuclear magnetic resonance spectroscopy revealed that in dimethyl sulfoxide Arg9 and Cys12 are most likely involved in metal binding. Reversibility of binding and thus regeneration of the peptide was demonstrated, enabling its potential use for multiple extraction cycles. GC22 thus offers a sustainable, cost-effective, and environmentally friendly alternative for future REE-recovery from low-REE-concentration wastewaters and e-waste leachates.
DOI: 10.14278/rodare.4373
title: Research Data: Recovery of rare earth elements by peptide-induced Ln3+ precipitation

description: Electronic waste and wastewater from mining, industry, etc. are valuable secondary sources of strategic high-tech metals like rare earth elements (REEs). Due to low concentrations of REEs, their recovery is challenging. Current separation processes have high energy consumption and use large amounts of toxic or expensive reagents, resulting in contaminated water and its costly reprocessing. Biomolecules, as environmentally friendly alternatives, are able to overcome these economic and ecological issues. Metal-binding peptides are convincing not only because of their high selectivity and stability under various conditions. In case of biobased production, they are also “renewable” resources and are neither toxic nor difficult to degrade at the process end. Here, we successfully utilized phage surface display (PSD) to screen for peptides with high affinity for REEs. The selected peptide GC22 (CEPDLWIDRFWC), identified by PSD in combination with next-generation sequencing, revealed the ability to precipitate lanthanide and yttrium ions from aqueous solutions in large quantities (&gt; 60 %). It largely favors all REE ions over other commonly occurring metal ions in wastewater. The amorphous REE-GC22-precipitate is characterized by curled and spherical structures. Nuclear magnetic resonance spectroscopy revealed that in dimethyl sulfoxide Arg9 and Cys12 are most likely involved in metal binding. Reversibility of binding and thus regeneration of the peptide was demonstrated, enabling its potential use for multiple extraction cycles. GC22 thus offers a sustainable, cost-effective, and environmentally friendly alternative for future REE-recovery from low-REE-concentration wastewaters and e-waste leachates.
DOI: 10.15468/dl.ywqrx2
title: Occurrence Download

description: A dataset containing 1634 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plagioscion squamosissimus"
 ]
}

 The dataset includes 1634 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000151-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18416778
title: Supplemental Information - On-Filter Derivatization and Alkaline Trap Sampling for UAV-Based Gas-Phase Halogen Speciation in Volcanic Plumes
DOI: 10.5281/zenodo.18416779
title: Supplemental Information - On-Filter Derivatization and Alkaline Trap Sampling for UAV-Based Gas-Phase Halogen Speciation in Volcanic Plumes
DOI: 10.14473/csda/kld4tv
title: Longitudinální projekt Psychologického ústavu AV ČR Praha: Od Covidu k současnosti 2020 - 2025

description: Nepravidelně se opakující sběr dat na národním vzorku na současná témata.&lt;br /&gt;&lt;br /&gt;

&lt;b&gt;1. vlna&lt;/b&gt; – &lt;b&gt;Roušky&lt;/b&gt;, demokratičnost, volby, osobnost 21. – 25. 4. 2020&lt;br /&gt;
&lt;b&gt;2. vlna&lt;/b&gt; – &lt;b&gt;Respirátory&lt;/b&gt;, politická kultura, hoaxy 9. – 29. 3. 2021&lt;br /&gt;
&lt;b&gt;3. vlna &lt;/b&gt;– &lt;b&gt;Očkování&lt;/b&gt;, kulturní identita, slušnost 9.11. – 19. 12. 2021&lt;br /&gt;
&lt;b&gt;4. vlna&lt;/b&gt; – &lt;b&gt;Potvrzení o očkování&lt;/b&gt;, historie, frustrace, tolerance – 4. – 15. 2. 2022&lt;br /&gt;
&lt;b&gt;5. vlna&lt;/b&gt; – &lt;b&gt;Ukrajina&lt;/b&gt;, politická kultura 3. – 13. 3. 2022&lt;br /&gt;
&lt;b&gt;6. vlna&lt;/b&gt; – &lt;b&gt;Rusko&lt;/b&gt;, pomoc Ukrajině 20. 4. – 3. 5. 2022&lt;br /&gt;
&lt;b&gt;7. vlna&lt;/b&gt; – &lt;b&gt;Covid – rekapitulace&lt;/b&gt; 24. 5. – 16. 6. 2022&lt;br /&gt;
&lt;b&gt;8. vlna&lt;/b&gt; – &lt;b&gt;Crises and challenges&lt;/b&gt;, propaganda, zdraví 4. – 29. 11. 2022&lt;br /&gt;
&lt;b&gt;9. vlna&lt;/b&gt; – &lt;b&gt;Volby&lt;/b&gt;, přijatelnost P. Pavel a A. Babiš 23. 1. – 29. 1. 2023&lt;br /&gt;
&lt;b&gt;10. vlna&lt;/b&gt; – &lt;b&gt;Ukrajina II – rok poté&lt;/b&gt;, coping a resilience 16. 2. – 2. 3. 2023&lt;br /&gt;
&lt;b&gt;11. vlna &lt;/b&gt;– &lt;b&gt;Demokracie&lt;/b&gt;, Izrael a Hamás, hrdinové, ideologie 3. – 16. 11. 2023&lt;br /&gt;
&lt;b&gt;12. vlna&lt;/b&gt; – &lt;b&gt;Ukrajina – dva roky poté &lt;/b&gt;, &lt;/b&gt;Gayové&lt;/b&gt;, ekologie, pověry 26. 3. 1- 12. 4. 2024&lt;br /&gt;
&lt;b&gt;13. vlna&lt;/b&gt; – &lt;b&gt;Volby do EP&lt;/b&gt;, Petr Pavel, Trump, Putin, Motoristé, politická kultura, hbus, ZTP, kdo jsem 22. 8.-19.9. 2024&lt;br /&gt;&lt;br /&gt;
description: Od Covidu k Izraeli
description: <br>Předpokládá se, že data budou zpřístupňována v průběhu roku 2026.<br>
DOI: 10.5281/zenodo.18416706
title: SARS-CoV-2 Sequenzdaten aus Deutschland

description: Im Datensatz "SARS-CoV-2-Sequenzdaten aus Deutschland" umfasst vollständige Virusgenomsequenzen sowie zugehörige Metadaten aus bundesweit erhobenen Proben. Die Proben werden in Zusammenarbeit vom IMSSC2-Labornetzwerk, dem Nationalen Referenzzentrum für Coronaviren an der Charité sowie dem RKI sequenziert und bioinformatisch analysiert. Der Datensatz ermöglicht eine fundierte molekular-epidemiologische Analyse der SARS-CoV-2-Ausbreitung in Deutschland und stellt eine zentrale Ressource für Forschung und öffentliche Gesundheitsüberwachung dar.
DOI: 10.6084/m9.figshare.31158103
title: Dataset of Questionnaire, Interview, and Documentation from the participants_Lamri

description: By foregrounding embodiment as central to vocational learning, this study offers a conceptual contribution for educators and policymakers seeking to design inclusive curricula that advance both professional formation and human dignity.
DOI: 10.6084/m9.figshare.31158103.v2
title: Dataset of Questionnaire, Interview, and Documentation from the participants_Lamri

description: By foregrounding embodiment as central to vocational learning, this study offers a conceptual contribution for educators and policymakers seeking to design inclusive curricula that advance both professional formation and human dignity.
DOI: 10.6084/m9.figshare.31158103.v1
title: Dataset of Questionnaire, Interview, and Documentation from the participants_Lamri

description: By foregrounding embodiment as central to vocational learning, this study offers a conceptual contribution for educators and policymakers seeking to design inclusive curricula that advance both professional formation and human dignity.
DOI: 10.5281/zenodo.18416881
title: AUTO-DZ-ACT — 3I/ATLAS Daily Observational Snapshots (2025-07-01 → 2026-01-29)

description: Raw, non-instrumental observational archive for 3I/ATLAS (Interstellar Object) collected from official astronomical data sources. Contains 214 daily timestamped snapshots (2025-07-01 to 2026-01-29) with complete cryptographic integrity verification (SHA-256) and provenance documentation. Data aggregated from: IAU Minor Planet Center (MPC), NASA/JPL Small-Body Database (SBDB), NASA/JPL Horizons, ESA Near-Earth Object Coordination Centre (NEOCC), NASA Center for Near-Earth Object Studies (CNEOS), and NASA Planetary Data System Small Bodies Node. Each snapshot includes source attribution, retrieval timestamps (ISO 8601 UTC), and content verification hashes. Archive operates under provenance-based archiving standards with immutability protection. No scientific analysis, interpretation, or instrumental observation—raw institutional data preservation only. Part of AUTO-DZ-ACT cosmic observatory framework (Layer-1 data collection) governed by TRIZEL-BASELINE-v1.0.0.