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

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bellis perennis hortensis, Bellis perennis perennis, Bellis perennis plena, Bellis perennis prolifera, Bellis perennis pumila, Bellis perennis rhodoglossa, Bellis perennis tubulosa, Bellis perennis caulescens, Bellis perennis discoidea, Bellis perennis fagetorum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007957-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23719/1532308
title: Integrating Satellite and Sensor Measurements to Understand Urban Air Quality: A Case Study of PM2.5 in Asunción, Paraguay

description: Data describes Satellite-derived monthly averaged PM2.5 concentrations for South America and Asunción during February 2020, Box-and-whisker plots showing the distributions of monthly mean PM2.5 values and 24-hr PM2.5 mean values for each ground-level sensor, Line graph showing hourly PM2.5 averages for each grou, nd-level sensor, Sensor-measured daily PM2.5 means for ItaEnramada and Villamora during August 2020 (fire season) and March 2021 (rainy season)
DOI: 10.23719/1528744
title: Indianapolis Research Duplex Total Database SCID: B-3r2f

description: The dataset is comprised of: 1)VOC concentrations of soil gas and indoor air samples collected over the site; 2) the pressure readings used to monitor the pressure differential between subslab and indoor air.
DOI: 10.23719/1532405
title: Main text figure data

description: Raw underlying data for visualizations in the main body of the manuscript
DOI: 10.23719/1532394
title: Using fecal DNA metabarcoding to test if diet of migratory birds is correlated with Pb exposure level at a contaminated site in north Idaho: CO1 dataset

description: Fecal samples from migratory birds were collected from contaminated wetlands in the Bunker Hill Lower Basin Coeur ’d Alene River Watershed and from a Hepton Lake reference area St. Joe River Watershed during 2022-2024. Mitochondrial CO1 metabarcoding was used to confirm bird taxa from which samples were collected.

CO1 primers with Illumina adaptors:
CO1-F	TCGTCGGCAGCGTCAGATGTGTATAAGAGACAGAACATTCAGCCATCTTACCCGTG
CO1-R	GTCTCGTGGGCTCGGAGATGTGTATAAGAGACAGACAGGGAGTGATAGRAGKAGTAGG

Also, chloroplast rbcL metabarcoding was used to identify plant taxa recently consumed by the birds, which can be found at DOI: 10.23719/1532393
DOI: 10.15468/dl.aw4rsq
title: Occurrence Download

description: A dataset containing 1391 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Dryophytes avivoca)"
 ]
}

 The dataset includes 1391 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007958-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.adv.29599319
title: Appendix. Input characteristics of simulation m

description: The supplementary material includes a spreadsheet file containing the input parameters for 280 simulation runs of hydraulic jumps on rough beds. Each entry in the dataset provides key model inputs, such as upstream flow depth, Froude number, and bed roughness characteristics. This dataset enhances transparency and facilitates further analysis or replication of the modeling results.
DOI: 10.60893/figshare.adv.29599319.v1
title: Appendix. Input characteristics of simulation m

description: The supplementary material includes a spreadsheet file containing the input parameters for 280 simulation runs of hydraulic jumps on rough beds. Each entry in the dataset provides key model inputs, such as upstream flow depth, Froude number, and bed roughness characteristics. This dataset enhances transparency and facilitates further analysis or replication of the modeling results.
DOI: 10.15468/dl.57xdq7
title: Occurrence Download

description: A dataset containing 1073 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Insect (Coleoptera) Biodiversity Across Forest Canopy and Understorey in SE-Asia BIFA5_026"
 ]
}

 The dataset includes 1073 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007959-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23719/1532393
title: Using fecal DNA metabarcoding to test if diet of migratory birds is correlated with Pb exposure level at a contaminated site in north Idaho: rbcL dataset

description: Fecal samples from migratory birds were collected from Pb contaminated wetlands in the Bunker Hill Lower Basin Coeur ’d Alene River Watershed and from a Hepton Lake reference area St. Joe River Watershed during 2022-2024. Chloroplast rbcL metabarcoding was used to identify plant taxa recently consumed by the birds.

rbcL primers with Illumina adaptors:
RBCL-F	TCGTCGGCAGCGTCAGATGTGTATAAGAGACAGYGATGGACTTACNAGTCTTGATCGTTACAAAGG
RBCL-R	GTCTCGTGGGCTCGGAGATGTGTATAAGAGACAGGNCCATAYTTRTTCAATTTATCTCTTTCAACTTGGATNCC

Also, mitochondrial CO1 metabarcoding was used to confirm bird taxa from which samples were collected, which can be found at DOI: 10.23719/1532394
DOI: 10.23719/1532409
title: National Wetland Condition Assessment (NWCA) Soil and Water Stable Isotope Data

description: These datasets provide raw stable isotope data collected as part of the National Wetland Condition Assessment (NWCA).  δ15N and δ13C measured from 10-cm Standard Depth Soil Cores are reported for 2011, 2016, 2021 NWCA and δ2H and δ18O from surface water chemistry samples are reported for 2021 NWCA.
DOI: 10.23719/1529459
title: Distribution of Subslab Soil Gas Concentrations of VOCs and Radon in a Compartmentalized Warehouse: Rate and Causes of Temporal Change

description: All data collected and utilized for this publication
DOI: 10.23719/1532272
title: GLISSNet multilocus comparison

description: Amplicon sequence variants from benthic and zooplankton samples generated using COI and 18S primers
DOI: 10.23719/1532419
title: Dataset: Benthic Invertebrate Conductivity Extirpation Estimates with Chloride, Bicarbonate, and Sulfate Mixtures

description: These data include benthic invertebrate occurrence data and associated water quality data within the states of Maryland, Pennsylvania, Vermont, and West Virginia.  Data are sorted into stations dominated by chloride or sulfate ions or a mix of the two. Also included are the original and curated ion mixture data, R scripts, summary plots and tables.  Additional detail on methods and applications are available in these two papers:
 Cormier, S., L. Zheng, and C. Flaherty. A field-based model of the relationship between extirpation of salt-intolerant benthic invertebrates and background conductivity. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 633: 1629-1636, (2018).
Cormier, S.M., Suter, G.W., Fernandez, M.B. and Zheng, L., 2020. Adequacy of sample size for estimating a value from field observational data. Ecotoxicology and environmental safety, 203, p.110992.
DOI: 10.23719/1532381
title: Data set: St. Louis River Watershed, MN Conductivity Assessment March 2022

description: Data used to evaluate potential downstream impacts of the NorthMet Mine, by USEPA Office of Research and Development is providing, for USEPA Region 5’s use, including a characterization of stream specific conductivity (SC) levels, least disturbed background SC, and SC levels that may exceed the Fond du Lac Band’s WQ standards and adversely affect aquatic life, including brook trout (Salvelinus fontinalis), lake sturgeon (Acipenser fulvescens), and benthic macroinvertebrates. 
Keywords: Conductivity, St. Louis River, benthic invertebrates; mining
The attached Excel Pedigree includes: 
_Datasets: Data file uploaded to EPA Science Hub and/or Environmental Data Set Gateway
_R  : Clean R scripts used to generate document figures and tables
_Tables_Figures: Files generated from R script and used in the Region 5 memo 20220325
R Code and Data: All additional files used for this project, including original files, intermediate files, extra output files, and extra functions. 	The "_R" folder contains four subfolders. Each subfolder has several R scripts, input and output files, and an R project file. Users can run R scripts directly from each subfolder by installing R, RStudio, and associated R packages.
Data Dictionary: See tab DataDictionary in Excel file
Datasets: Simplified language is used in the text to identify parent data sets. Source and File names are retained in this pedigree in original form to enable R-scripts to retain functionality.
•	Thingvold et al. (1975-1977)
•	Griffith (1998-2009)
•	Predicted background (2000-2015)
•	Water Quality Portal (1996-2021)
•	Water Quality Portal Less Disturbed (1996-2021)
•	Minnesota Pollution Control Agency (MPCA) (1996-2013)
•	Mid-Atlantic Highlands (1990 to 2014)
DOI: 10.23719/1532422
title: Estimation of the Number of Subslab Soil Gas Samples to Collect to Characterize Vapor Intrusion Under a Large Building

description: Between December 2020 and April 2022, samples were collected at six commercial buildings in Fairbanks, Alaska and between May 2019, to June 2021 at a large, compartmentalized warehouse at a coastal site in Virginia. Types of samples collected included: indoor air; outdoor air; SSSG; soil gas; radon; differential pressure; indoor and outdoor temperature; heating, ventilation, and air conditioning (HVAC) parameters; and other environmental factors.
DOI: 10.15468/dl.vaemx8
title: Occurrence Download

description: A dataset containing 83490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lithobates pipiens"
 ]
}

 The dataset includes 83490 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007932-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j27dcc
title: Occurrence Download

description: A dataset containing 1233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Typha L."
 ]
}

 The dataset includes 1233 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007472-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89srqa
title: Occurrence Download

description: A dataset containing 137930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elaenia flavogaster",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 137930 records from 411 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005011-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zp5q96
title: Occurrence Download

description: A dataset containing 6168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Leopardus pardalis"
 ]
}

 The dataset includes 6168 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005060-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpun7w
title: Occurrence Download

description: A dataset containing 64959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chordata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2025",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "CoordinateUncertaintyInMeters is less than or equal to 200",
 "Geometry POLYGON ((-121.0148 35.96637, -120.7949 35.95486, -120.7656 35.91986, -120.8698 35.76599, -120.8942 35.60315, -120.8455 35.44397, -120.7297 35.309, -120.7251 35.19001, -120.7116 35.17489, -120.6428 35.13673, -120.6253 34.99636, -120.4833 34.86877, -120.3697 34.7339, -120.1697 34.6066, -119.9791 34.56009, -119.6267 34.54529, -119.4288 34.53159, -119.3023 34.55481, -119.1212 34.50124, -118.9227 34.50384, -118.7383 34.5648, -118.5922 34.67614, -118.5037 34.82321, -118.4849 34.98662, -118.4927 35.05698, -118.4841 35.07947, -118.463 35.27164, -118.5109 35.47806, -118.4129 35.63793, -118.3937 35.80123, -118.4478 35.95925, -118.5685 36.09093, -118.7399 36.1786, -118.9389 36.21046, -119.1388 36.18221, -119.267 36.12703, -119.4309 36.15632, -119.536 36.29662, -119.6968 36.39697, -119.8579 36.44004, -119.9938 36.55412, -120.0662 36.58993, -120.1035 36.7477, -120.2107 36.88735, -120.3476 36.97559, -120.3305 37.14402, -120.3616 37.31508, -120.4607 37.45881, -120.6185 37.56457, -120.8138 37.61812, -121.0204 37.61225, -121.2104 37.54773, -121.2802 37.50404, -121.4034 37.37258, -121.5281 37.03732, -121.5097 36.84457, -121.5118 36.68062, -121.5219 36.6189, -121.5453 36.456, -121.4946 36.29718, -121.3808 36.12897, -121.225 36.02418, -121.0148 35.96637))"
 ]
}

 The dataset includes 64959 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005025-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18726845
title: Optimisation Under Constraints V: Machine Intelligence in Theoretical Cosmology: Multi-Agent Large Language Model Collaborative Structured Reasoning

description: This work presents a documented methodological case study of multi-agent large language model (LLM) collaboration applied to theoretical cosmology. Using a renormalisation group (RG)-motivated Early Dark Energy (EDE) framework as a testbed, we formalize and critically examine an AI-assisted workflow incorporating GPT-series models (OpenAI), Gemini (Google), and Kimi K2.5 (Moonshot AI) in distinct functional roles: symbolic derivation, adversarial probing, and logical validation.

The central contribution is methodological, not cosmological, by demonstrating that LLMs, when deployed under explicit constraints and multi-model cross-validation, can accelerate hypothesis generation, stress-test reasoning, and minimize hallucinations, while maintaining human oversight as first and last authority.

The proposed multi-LLM agent matrix emerged from empirical observations during RG-EDE workflow development. Cross-model disagreements revealed hidden assumptions, reducing uncorrected reasoning errors and highlighting the value of redundancy principles familiar from safety-critical engineering and ensemble learning systems.

Such structured, rigorously verified AI architectures could be applied beyond cosmology, including high-stakes computational environments, autonomous planetary research, or latency-constrained scientific simulations. They enhance reliability, reduce model bias, and provide a transparent framework for AI-assisted scientific reasoning.
DOI: 10.5281/zenodo.18727441
title: Optimisation Under Constraints V: Machine Intelligence in Theoretical Cosmology: Multi-Agent Large Language Model Collaborative Structured Reasoning

description: This work presents a documented methodological case study of multi-agent large language model (LLM) collaboration applied to theoretical cosmology. Using a renormalisation group (RG)-motivated Early Dark Energy (EDE) framework as a testbed, we formalize and critically examine an AI-assisted workflow incorporating GPT-series models (OpenAI), Gemini (Google), and Kimi K2.5 (Moonshot AI) in distinct functional roles: symbolic derivation, adversarial probing, and logical validation.

The central contribution is methodological, not cosmological, by demonstrating that LLMs, when deployed under explicit constraints and multi-model cross-validation, can accelerate hypothesis generation, stress-test reasoning, and minimize hallucinations, while maintaining human oversight as first and last authority.

The proposed multi-LLM agent matrix emerged from empirical observations during RG-EDE workflow development. Cross-model disagreements revealed hidden assumptions, reducing uncorrected reasoning errors and highlighting the value of redundancy principles familiar from safety-critical engineering and ensemble learning systems.

Such structured, rigorously verified AI architectures could be applied beyond cosmology, including high-stakes computational environments, autonomous planetary research, or latency-constrained scientific simulations. They enhance reliability, reduce model bias, and provide a transparent framework for AI-assisted scientific reasoning.
DOI: 10.15468/dl.xup9v5
title: Occurrence Download

description: A dataset containing 397 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Dasylirion acrotrichum"
 ]
}

 The dataset includes 397 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005063-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14938409
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.57783/ayq1-8b91
title: LibreChat
DOI: 10.25949/31225774
title: Data and code for scientific paper: Impacts of aerially deployed fire retardant on the survival, development, and behaviour of a common frog,<i> Limnodynastes peronii </i>

description: This project contains data (and a README.txt file), R code for statistical analyses and figure generation for the study: "Impacts of aerially deployed fire retardant on the survival, development, and behaviour of a common frog,<i> Limnodynastes peronii</i>".Data was collected in a laboratory using wild-captured frog eggs from artificial mesocosms located in the fauna park at Macquarie University, Sydney, Australia. Egg collection was done between 11 November 2023 and 4 December 2023. Laboratory data was collected between 29 November 2023 and 15 December 2023. The aim of the study was to investigate the ecological and physico-chemical effects of exposure to a globally used aerially deployed long-term firefighting chemicals (Phos-Chek MVP-Fx) at diluted concentrations.The analyses include Linear Models, Linear Mixed Models, Generalised Linear Mixed Models, and post-hoc pairwise comparisons.The figures include a boxplots.<b>Funding</b>. This project is funded by The Ecological Society of Australia in the form of a Holsworth Student Award. Further, this project received funding in the form of a student award from the Frog and Tadpole Society of New South Wales.<b>Ethics statement</b>. All procedures were performed in accordance with the relevant guidelines and regulations approved by Macquarie University Animal Ethics Committee (ARA Number: 2022/017) and in accordance with ARRIVE guidelines.
DOI: 10.25949/31225774.v2
title: Data and code for scientific paper: Impacts of aerially deployed fire retardant on the survival, development, and behaviour of a common frog,<i> Limnodynastes peronii </i>

description: This project contains data (and a README.txt file), R code for statistical analyses and figure generation for the study: "Impacts of aerially deployed fire retardant on the survival, development, and behaviour of a common frog,<i> Limnodynastes peronii</i>".Data was collected in a laboratory using wild-captured frog eggs from artificial mesocosms located in the fauna park at Macquarie University, Sydney, Australia. Egg collection was done between 11 November 2023 and 4 December 2023. Laboratory data was collected between 29 November 2023 and 15 December 2023. The aim of the study was to investigate the ecological and physico-chemical effects of exposure to a globally used aerially deployed long-term firefighting chemicals (Phos-Chek MVP-Fx) at diluted concentrations.The analyses include Linear Models, Linear Mixed Models, Generalised Linear Mixed Models, and post-hoc pairwise comparisons.The figures include a boxplots.<b>Funding</b>. This project is funded by The Ecological Society of Australia in the form of a Holsworth Student Award. Further, this project received funding in the form of a student award from the Frog and Tadpole Society of New South Wales.<b>Ethics statement</b>. All procedures were performed in accordance with the relevant guidelines and regulations approved by Macquarie University Animal Ethics Committee (ARA Number: 2022/017) and in accordance with ARRIVE guidelines.
DOI: 10.25949/31225774.v1
title: Data and code for scientific paper: Impacts of aerially deployed fire retardant on the survival, development, and behaviour of a common frog,<i> Limnodynastes peronii </i>

description: This project contains data (and a README.txt file), R code for statistical analyses and figure generation for the study: "Impacts of aerially deployed fire retardant on the survival, development, and behaviour of a common frog,<i> Limnodynastes peronii</i>".Data was collected in a laboratory using wild-captured frog eggs from artificial mesocosms located in the fauna park at Macquarie University, Sydney, Australia. Egg collection was done between 11 November 2023 and 4 December 2023. Laboratory data was collected between 29 November 2023 and 15 December 2023. The aim of the study was to investigate the ecological and physico-chemical effects of exposure to a globally used aerially deployed long-term firefighting chemicals (Phos-Chek MVP-Fx) at diluted concentrations.The analyses include Linear Models, Linear Mixed Models, Generalised Linear Mixed Models, and post-hoc pairwise comparisons.The figures include a boxplots.<b>Funding</b>. This project is funded by The Ecological Society of Australia in the form of a Holsworth Student Award. Further, this project received funding in the form of a student award from the Frog and Tadpole Society of New South Wales.<b>Ethics statement</b>. All procedures were performed in accordance with the relevant guidelines and regulations approved by Macquarie University Animal Ethics Committee (ARA Number: 2022/017) and in accordance with ARRIVE guidelines.