cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16414582
title: Observation of Mountain Waves and Secondary Gravity Waves in the Mesosphere lower Thermosphere above Patagonia, Datasets

description: This repository contains the data that is used and not publicly available in the publication of Reichert et al. (submitted to JGR Atmospheres). 



AMTM_T_decomp_20180521: Decomposition of AMTM temperature observation on the night of 21/22 May 2018 at Río Grande, Argentina, as described in the manuscript.

CORAL_T_20180521_T15Z1500: CORAL Temperature observation on the night of 21/22 May 2018 at Río Grande, Argentina

SAAMER_Hindley22_version_2018: SAAMER wind observation for the year 2018 at Río Grande 2018. Winds are processed according to Hindley et al. (2022).

large_scale_GW_properties: Results from the momentum flux retrieval for GWs of scales larger than the AMTM's field of view.

small_scale_GW_properties: Results from the momentum flux retrieval for GWs of scales smaller than the AMTM's field of view.

trajectories_2GW_backwards: GROGRAT results for backwards raytracing of 2GW.

trajectories_2GW_forwards: GROGRAT results for forwards raytracing of 2GW.

OH_layer_20180521: Results from the OH-layer altitude and thickness retrieval
DOI: 10.5281/zenodo.16414583
title: Observation of Mountain Waves and Secondary Gravity Waves in the Mesosphere lower Thermosphere above Patagonia, Datasets

description: This repository contains the data that is used and not publicly available in the publication of Reichert et al. (submitted to JGR Atmospheres). 



AMTM_T_decomp_20180521: Decomposition of AMTM temperature observation on the night of 21/22 May 2018 at Río Grande, Argentina, as described in the manuscript.

CORAL_T_20180521_T15Z1500: CORAL Temperature observation on the night of 21/22 May 2018 at Río Grande, Argentina

SAAMER_Hindley22_version_2018: SAAMER wind observation for the year 2018 at Río Grande 2018. Winds are processed according to Hindley et al. (2022).

large_scale_GW_properties: Results from the momentum flux retrieval for GWs of scales larger than the AMTM's field of view.

small_scale_GW_properties: Results from the momentum flux retrieval for GWs of scales smaller than the AMTM's field of view.

trajectories_2GW_backwards: GROGRAT results for backwards raytracing of 2GW.

trajectories_2GW_forwards: GROGRAT results for forwards raytracing of 2GW.

OH_layer_20180521: Results from the OH-layer altitude and thickness retrieval
DOI: 10.5281/zenodo.16961939
title: CHEMSMART: Chemistry Simulation and Modeling Automation Toolkit for High-Efficiency Computational Chemistry Workflows

description: Files for the illustrated workflow example in the titled paper.
DOI: 10.5281/zenodo.16961940
title: CHEMSMART: Chemistry Simulation and Modeling Automation Toolkit for High-Efficiency Computational Chemistry Workflows

description: Files for the illustrated workflow example in the titled paper.
DOI: 10.15468/dl.g2xf24
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Facelis plumosa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 30 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009593-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r92zp4
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rosa moyesii",
 "Year 1970-2000"
 ]
}

 The dataset includes 158 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009594-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18197166
title: Research Compendium for 'Where did they all go? Pontecosi and the Late Aurignacian–Early Gravettian transition in the Italian Peninsula'

description: Data and figures collected during the analysis of the lithic assemblage from the Pontecosi site (North-western Tuscany, Italy). the repository acts as research compendium and Supplementary Information files of the manuscript "Where did they all go? Pontecosi and the Late Aurignacian–Early Gravettian transition in the Italian Peninsula"
DOI: 10.5281/zenodo.18197167
title: Research Compendium for 'Where did they all go? Pontecosi and the Late Aurignacian–Early Gravettian transition in the Italian Peninsula'

description: Data and figures collected during the analysis of the lithic assemblage from the Pontecosi site (North-western Tuscany, Italy). the repository acts as research compendium and Supplementary Information files of the manuscript "Where did they all go? Pontecosi and the Late Aurignacian–Early Gravettian transition in the Italian Peninsula"
DOI: 10.5281/zenodo.18347550
title: A Comprehensive European Exposure Dataset on Tourism, Finance, Agriculture and other sectors on NUTS3-level

description: Developed as part of the Horizon 2020 MYRIAD-EU project, this dataset provides a comprehensive collection of European exposure metrics. It includes sectoral capital stock (categorized by NACE Rev 2.1, A21 level) and tourism expenditure, alongside current and future projections for population and GDP across various Shared Socioeconomic Pathways (SSPs). All data is aggregated at the NUTS3 level, with detailed descriptions available in the accompanying metadata CSV file.

Within the project, these metrics are integrated with multi-hazard data (e.g., floods, earthquakes, and windstorms) to assess Exposure-at-Risk. Users can visualize and interact with this data via the Exposure-at-Risk Explorer hosted on the MYRIAD-EU Multi-Risk Toolkit.
DOI: 10.5281/zenodo.18347549
title: A Comprehensive European Exposure Dataset on Tourism, Finance, Agriculture and other sectors on NUTS3-level

description: Developed as part of the Horizon 2020 MYRIAD-EU project, this dataset provides a comprehensive collection of European exposure metrics. It includes sectoral capital stock (categorized by NACE Rev 2.1, A21 level) and tourism expenditure, alongside current and future projections for population and GDP across various Shared Socioeconomic Pathways (SSPs). All data is aggregated at the NUTS3 level, with detailed descriptions available in the accompanying metadata CSV file.

Within the project, these metrics are integrated with multi-hazard data (e.g., floods, earthquakes, and windstorms) to assess Exposure-at-Risk. Users can visualize and interact with this data via the Exposure-at-Risk Explorer hosted on the MYRIAD-EU Multi-Risk Toolkit.
DOI: 10.15468/dl.qn4xs6
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Famatinanthus decussatus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 25 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009597-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4f4esb
title: Occurrence Download

description: A dataset containing 29080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Issue is Continent derived from coordinates",
 "TaxonKey is Erithacus rubecula",
 "Year 2024-2024"
 ]
}

 The dataset includes 29080 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009596-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7djs5q
title: Occurrence Download

description: A dataset containing 32578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Parus major",
 "Year 2024-2024"
 ]
}

 The dataset includes 32578 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009598-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64t3q9
title: Occurrence Download

description: A dataset containing 902 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amblypodia anita"
 ]
}

 The dataset includes 902 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009599-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qa3gkf
title: Occurrence Download

description: A dataset containing 898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rosa omeiensis",
 "Year 1970-2000"
 ]
}

 The dataset includes 898 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009600-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18361247
title: DepCom

description: Code and data associated with the DepCom resource (https://depcom.eu/). Includes pre-calculated cross-correlation from Dependency Map (DepMap release 24Q2 Post-Chronos CRISPR knockout gene effect estimates (available at https://depmap.org/portal/data_page/?tab=allData “CRISPRGeneEffect.csv”) ref.: DepMap 24Q2 Public. Figshare+ https://doi.org/10.25452/figshare.plus.25880521.v1 (2024); Arafeh, R., Shibue, T., Dempster, J.M. et al. The present and future of the Cancer Dependency Map. Nat Rev Cancer 25, 59-73 (2025). https://doi.org/10.1038/s41568-024-00763-x). Refer to depmap.org for data usage policies.
DOI: 10.5281/zenodo.18361248
title: DepCom

description: Code and data associated with the DepCom resource (https://depcom.eu/). Includes pre-calculated cross-correlation from Dependency Map (DepMap release 24Q2 Post-Chronos CRISPR knockout gene effect estimates (available at https://depmap.org/portal/data_page/?tab=allData “CRISPRGeneEffect.csv”) ref.: DepMap 24Q2 Public. Figshare+ https://doi.org/10.25452/figshare.plus.25880521.v1 (2024); Arafeh, R., Shibue, T., Dempster, J.M. et al. The present and future of the Cancer Dependency Map. Nat Rev Cancer 25, 59-73 (2025). https://doi.org/10.1038/s41568-024-00763-x). Refer to depmap.org for data usage policies.
DOI: 10.5281/zenodo.18348669
title: tmQMg Δ-ML graphs

description: This dataset contains graph representations of 73,821 unique transition metal complexes from the tmQMg dataset ready for use in Δ-machine learning frameworks. The graph representations were generated with the HyDGL Python package according to the u-NatQG specification and are based on electronic structure data at two different levels of theory: 



Geometry optimization: GFN2-xTB // Single-point refinement: PBE0-D3BJ/def2-TZVP (low-fidelity)

Geometry optimization: GFN2-xTB // Single-point refinement: LSDA/LANL2DZ (ultra-low-fidelity)


The corresponding benchmark graphs obtained in previous work are also supplied (high-fidelity). The target properties calculated at the high-, low- and ultra-low-fidelity levels of theory are additionally provided in a separate CSV file.
DOI: 10.5281/zenodo.18361287
title: tmQMg Δ-ML graphs

description: This dataset contains graph representations of 73,821 unique transition metal complexes from the tmQMg dataset ready for use in Δ-machine learning frameworks. The graph representations were generated with the HyDGL Python package according to the u-NatQG specification and are based on electronic structure data at two different levels of theory: 



Geometry optimization: GFN2-xTB // Single-point refinement: PBE0-D3BJ/def2-TZVP (low-fidelity)

Geometry optimization: GFN2-xTB // Single-point refinement: LSDA/LANL2DZ (ultra-low-fidelity)


The corresponding benchmark graphs obtained in previous work are also supplied (high-fidelity). The target properties calculated at the high-, low- and ultra-low-fidelity levels of theory are additionally provided in a separate CSV file.
DOI: 10.5281/zenodo.18166907
title: Clinical Utility of General Movements Assessment

description: The dataset includes anonymised data on high-risk preterm infants. A separate README file explains all column headers, abbreviations, and coding used.
DOI: 10.5281/zenodo.18166908
title: Clinical Utility of General Movements Assessment

description: The dataset includes anonymised data on high-risk preterm infants. A separate README file explains all column headers, abbreviations, and coding used.
DOI: 10.15468/dl.7utppr
title: Occurrence Download

description: A dataset containing 32578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Parus major",
 "Year 2024-2024"
 ]
}

 The dataset includes 32578 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009602-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4rc5z
title: Occurrence Download

description: A dataset containing 37828 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mosquito Alert Dataset"
 ]
}

 The dataset includes 37828 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009603-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhhrmu
title: Occurrence Download

description: A dataset containing 653 records in GBIF matching the query:
SELECT
 '313' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 24.552553756517728
 AND decimalLatitude &lt;= 28.773895969281842
 AND decimalLongitude &gt;= 26.450229726150916
 AND decimalLongitude &lt;= 32.47800532857604
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 653 records were derived from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009592-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17428771
title: Context Engineering for AI Agents in Open-Source Software (Supplementary Material)

description: GenAI-based coding assistants have disrupted software development. The next generation of these tools are agent-based, operating with more autonomy and potentially without human oversight. Like human developers, AI agents require contextual information to develop solutions that are in line with the standards, policies, and workflows of the software projects they operate in.  Vendors of popular agentic tools (e.g., Claude Code) recommend maintaining version-controlled Markdown files that describe aspects such as the project structure, code style, or building and testing. % and other aspects of the project. The content of these files is then automatically added to each prompt. Recently, AGENTS.md has emerged as a potential standard that consolidates existing tool-specific formats.However, little is known about whether and how developers adopt this format. Therefore, in this work-in-progress paper, we present the results of a preliminary study investigating the adoption of AI context files in 466 open-source software projects. We analyze the information that developers provide in AGENTS.md files, how they present that information, and how the files evolve over time. Our findings indicate that there is no established content structure yet and that there is a lot of variation in terms of how context is provided (descriptive, prescriptive, prohibitive, explanatory, conditional). Our commit-level analysis provides first insights into the evolution of the provided context. AI context files provide a unique opportunity to study real-world context engineering. In particular, we see great potential in studying which structural or presentational modifications can positively affect the quality of the generated content.
DOI: 10.15468/dl.uyvzry
title: Occurrence Download

description: A dataset containing 302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Specimen)",
 "Country is one of (India, Bangladesh, Pakistan, Afghanistan, Myanmar, Nepal, Bhutan)",
 "OccurrenceStatus is Present",
 "TaxonKey is Urva auropunctata"
 ]
}

 The dataset includes 302 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009604-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwyp3u
title: Occurrence Download

description: A dataset containing 237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rosa roxburghii",
 "Year 1970-2000"
 ]
}

 The dataset includes 237 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009605-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c53b5wn40
title: MassIVE MSV000100576 - GNPS - Solid-state fermented yellow pea
title: Untargeted LC-MS/MS metabolomics study of solid-state fermented yellow peas with A. oryzae RIB40. ESI (+) / DDA / 20-1300 m/z / RP C18.
DOI: 10.15468/dl.dmu79m
title: Occurrence Download

description: A dataset containing 16369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-96.76295 19.27924,-96.67619 19.27924,-96.67619 19.35998,-96.76295 19.35998,-96.76295 19.27924))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 16369 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009608-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gr43t
title: Occurrence Download

description: A dataset containing 1999 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Telicota bambusae"
 ]
}

 The dataset includes 1999 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009610-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.du3haq
title: Occurrence Download

description: A dataset containing 2520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Mongolia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Betula platyphylla"
 ]
}

 The dataset includes 2520 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009611-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rr6gmz
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rosa sericea",
 "Year 1970-2000"
 ]
}

 The dataset includes 305 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009612-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9whwu9
title: Occurrence Download

description: A dataset containing 979 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kallima horsfieldii"
 ]
}

 The dataset includes 979 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009613-260120142942310/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.31144641
title: Exogenous γ-aminobutyric acid alleviates the cadmium toxicity in rice (<i>Oryza sativa</i> L.) by promoting growth, regulating Cd distribution, and modulating stress-responsive gene expression

description: Cadmium (Cd) is a highly toxic heavy metal that poses a serious threat to rice (<i>Oryza sativa</i> L.) productivity and food safety. γ-aminobutyric acid (GABA) is known to promote rice growth and reduce Cd uptake, but mechanism of its role in alleviating Cd toxicity in rice remains unclear. In this study, we examined the effects of GABA (0.25 mmol L<sup>−1</sup>) on biomass accumulation, Cd distribution, and gene expression in rice under Cd stress (1 mg L<sup>−1</sup>) with three biological replicates. GABA application increased root and shoot biomass of rice (Duncan’s multiple range test) while reducing Cd content in both tissues (Student’s t-test). Compared with Cd treatment, GABA increased root and shoot biomass by 47.22% and 23.72%, respectively, and decreased root and shoot Cd contents by 6.56% and 39.16%, respectively. GABA also altered Cd partitioning by promoting its redistribution to soluble and organelle/membrane fractions in roots and shoots. Transcriptome profiling revealed differentially expressed genes (DEGs, fold-change thresholds ≥ 1.5 and false discovery rate &lt; 0.05) involved in photosynthesis, glutathione metabolism, and light-responsive pathways under Cd stress. A total of 1570, 1233, and 232 DEGs were identified in control vs Cd treatment, control vs GABA treatment, and Cd treatment vs GABA treatment, respectively. GABA modulated DEGs associated with the stress response, ion transport, and secondary metabolism. RT-qPCR validation of four key DEGs, <i>ferritin 1</i> (<i>Fer1</i>), <i>glutathione S-transferase 6</i> (<i>GSTU6</i>), <i>cytochrome P450 709B2-like</i> (<i>CYP709B2</i>), and <i>ent-sandaracoparadiene 3-hydroxylase-like</i> (<i>CYP701A8</i>), confirmed the transcriptomic trends. These findings suggest that GABA alleviates Cd toxicity in rice by promoting growth, regulating Cd distribution, and modulating stress-responsive gene expression, offering new insights into GABA-mediated heavy metal tolerance. GABA is known to promote rice growth and reduce Cd uptake, but mechanism of its role in alleviating Cd toxicity in rice remains unclear. This study shows that GABA alleviates Cd toxicity in rice by promoting growth, regulating Cd distribution, and modulating stress-responsive gene expression, offering new insights into GABA-mediated heavy metal tolerance.