cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25959/xw4r-e184
title: Impact of COVID-19 on the Australian Seafood Industry - Metadata Catalogue of Data Assets
DOI: 10.15468/dl.kssm7r
title: Occurrence Download

description: A dataset containing 731043 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FishBase Database"
 ]
}

 The dataset includes 731043 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063411-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18024961
title: Data and code supporting Antarctic intertidal benthic beta-diversity analyses

description: This repository contains the dataset (Data S1) and the R script (Script S1) used to analyse spatial and temporal patterns of beta diversity and its turnover and nestedness components in Antarctic intertidal benthic communities.
DOI: 10.5281/zenodo.18024962
title: Data and code supporting Antarctic intertidal benthic beta-diversity analyses

description: This repository contains the dataset (Data S1) and the R script (Script S1) used to analyse spatial and temporal patterns of beta diversity and its turnover and nestedness components in Antarctic intertidal benthic communities.
DOI: 10.5281/zenodo.17643900
title: Hammer-Purgstall Correspondence TEI Evaluation Dataset

description: This dataset supports LLM-supported TEI encoding tasks, output evaluation and comparison. It comprises a representative sample of 100 letters from the correspondence of Joseph von Hammer-Purgstall (1774-1856), an Austrian orientalist, historian, and diplomat. The correspondence spans six decades (1790s-1850s) and exhibits significant linguistic diversity, containing letters primarily in German alongside English, French, and Italian, with instances of code-switching (Latin, Greek, and Arabic text segments).

The dataset includes four main components for LLM processing:1. Input component: 100 plain text letter transcriptions (UTF-8)2. Reference component: 100 manually encoded TEI XML (P5) reference annotations following TEI Guidelines for correspondence3. Output component: LLM-generated TEI XML encodings from four models (GPT-5-mini, Claude Sonnet 4.5, Qwen3-14B-Q6, OLMo2-32B-instruct-Q4), totaling 400 encodings4. Evaluation component: Comprehensive assessment results in JSON format with aggregate Excel reports and a visualization of the cross-model comparison

The sample was selected through systematic stratified sampling based on language distribution, writer diversity, and letter length variation.

Files included:- hpe-correspondence-metadata.json: Metadata for 100 letters (language, sender, recipient, date, letter length, etc.)- hpe-correspondence-transcriptions.zip: Plain text letter transcriptions- hpe-correspondence-tei-reference.zip: Manually encoded TEI XML reference files- hpe-correspondence-llm-encodings.zip: LLM-generated TEI XML encodings from four models- hpe-correspondence-evaluation.zip: Evaluation results in JSON format with Excel reports- hpe-prompt-templates.zip: Five prompt scenarios for LLM processing with encoding instructions and few-shot samples

 

Code Availability

The evaluation results in this dataset were generated using the TEI LLM Evaluation Framework. The source code is available at: https://github.com/strubrina/tei-evaluation.git
DOI: 10.5281/zenodo.17643901
title: Hammer-Purgstall Correspondence TEI Evaluation Dataset

description: This dataset supports LLM-supported TEI encoding tasks, output evaluation and comparison. It comprises a representative sample of 100 letters from the correspondence of Joseph von Hammer-Purgstall (1774-1856), an Austrian orientalist, historian, and diplomat. The correspondence spans six decades (1790s-1850s) and exhibits significant linguistic diversity, containing letters primarily in German alongside English, French, and Italian, with instances of code-switching (Latin, Greek, and Arabic text segments).

The dataset includes four main components for LLM processing:1. Input component: 100 plain text letter transcriptions (UTF-8)2. Reference component: 100 manually encoded TEI XML (P5) reference annotations following TEI Guidelines for correspondence3. Output component: LLM-generated TEI XML encodings from four models (GPT-5-mini, Claude Sonnet 4.5, Qwen3-14B-Q6, OLMo2-32B-instruct-Q4), totaling 400 encodings4. Evaluation component: Comprehensive assessment results in JSON format with aggregate Excel reports and a visualization of the cross-model comparison

The sample was selected through systematic stratified sampling based on language distribution, writer diversity, and letter length variation.

Files included:- hpe-correspondence-metadata.json: Metadata for 100 letters (language, sender, recipient, date, letter length, etc.)- hpe-correspondence-transcriptions.zip: Plain text letter transcriptions- hpe-correspondence-tei-reference.zip: Manually encoded TEI XML reference files- hpe-correspondence-llm-encodings.zip: LLM-generated TEI XML encodings from four models- hpe-correspondence-evaluation.zip: Evaluation results in JSON format with Excel reports- hpe-prompt-templates.zip: Five prompt scenarios for LLM processing with encoding instructions and few-shot samples

 

Code Availability

The evaluation results in this dataset were generated using the TEI LLM Evaluation Framework. The source code is available at: https://github.com/strubrina/tei-evaluation.git
DOI: 10.25549/usctheses-ouc11399n1c2
title: A Ricci Flow Approach to Adiabatic Quantum Computation
DOI: 10.15156/bio/3452813
title: Monographic study of Diplocarpa (Cordieritidaceae, Helotiales) and its anamorph
title: Six-gene alignment in fasta and nexus format with MrBayes block

description: Dataset contains concatenated alignment files of six gene regions: SSU, ITS, LSU, RPB1, RPB2 and TEF in fasta and nexus formats. Nexus file contains MrBayes block with information about excluded sites and analysis settings.
DOI: 10.13140/rg.2.2.19431.71848
title: Corrected version of Open Anisocoric Physical-Chemical Systems as Prebiotic Systems
DOI: 10.5281/zenodo.18025180
title: 1111-the-cats-secret : covers : A-B
DOI: 10.5281/zenodo.18025179
title: 1111-the-cats-secret : covers : A-B
DOI: 10.5281/zenodo.16997517
title: Dataset for "A Probabilistic Framework for Spatio-Temporal Social Vulnerability Assessment to Flood Hazards in Canada using Bayesian Machine Learning"

description: This dataset provides the foundational geospatial and socioeconomic data used in the manuscript "A probabilistic framework for spatio-temporal social vulnerability assessment to flood hazards in Canada using Bayesian machine learning" (Chakraborty et al., 2025), accepted and published in the Springer Nature "Journal of Geovisualization and Spatial Analysis" (DOI: 10.1007/s41651-025-00247-y). It offers a comprehensive suite of indicators designed to quantify social vulnerability through advanced computational methods, including Bayesian machine learning (ML), mutual information regression (MIR), and Monte Carlo simulations. This dataset ensures maximum transferability of the research and allows for the precise reproducibility of empirical results. Users are responsible for verifying the accuracy and applicability of the data for their specific needs. Redistribution or commercial use of the data is subject to licensing restrictions from original data providers. Cite appropriately when using this dataset in other publications or presentations.  

Key Components:





Geospatial Layers: Shapefiles (.shp) containing administrative boundaries and spatial attributes.




Socioeconomic & Demographic Indicators: Processed variables from Statistics Canada, including income, housing, and education metrics.




Racial/Ethnic Variables: Specific data layers used to assess distributive environmental justice and disproportionate risk.




Documentation: A detailed data dictionary defining all variables and attributes.



Research Application

This dataset is curated for researchers and practitioners working in:





Dynamic Social Vulnerability Analysis: Monitoring how vulnerability shifts over time and space.




Probabilistic Risk Assessment: Incorporating uncertainty into flood risk modeling.




Environmental Justice: Evaluating the distributive impacts of natural hazards on marginalized populations.




Emergency Management: Supporting evidence-based, proactive disaster risk reduction strategies in Canada.



Technical Details





Software Requirements: Data processing was conducted using ArcGIS Pro and Python.




Source Attribution: Census data are obtained from open-source Statistics Canada products; Canada flood hazard data are copyrighted by JBA Risk Management; and residential address point data are copyrighted by the DMTI CanMap Suite.



Contact Information

For inquiries regarding the methodology or data application, please contact the corresponding author:

Dr. Liton Chakraborty University of Waterloo: liton.chakraborty@uwaterloo.ca, or York University: litonch@yorku.ca
DOI: 10.34740/kaggle/dsv/14261559
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.13012/b2idb-0791318_v2
title: Dataset for: "A Dual-Frequency Radar Retrieval of Snowfall Properties Using a Neural Network"

description: This is the dataset that accompanies the paper titled "A Dual-Frequency Radar Retrieval of Snowfall Properties Using a Neural Network", submitted for peer review in August 2020. Please see the github for the most up-to-date data after the revision process: https://github.com/dopplerchase/Chase_et_al_2021_NN

Authors: Randy J. Chase, Stephen W. Nesbitt and Greg M. McFarquhar Corresponding author: Randy J. Chase (randyjc2@illinois.edu)

Here we have the data used in the manuscript. Please email me if you have specific questions about units etc.

1) DDA/GMM database of scattering properties: base_df_DDA.csv
 This is the combined dataset from the following papers: Leinonen & Moisseev, 2015; Leinonen & Szyrmer, 2015; Lu et al., 2016; Kuo et al., 2016; Eriksson et al., 2018. The column names are D: Maximum dimension in meters, M: particle mass in grams kg, sigma_ku: backscatter cross-section at ku in m^2, sigma_ka: backscatter cross-section at ka in m^2, sigma_w: backscatter cross-section at w in m^2. The first column is just an index column. 

2) Synthetic Data used to train and test the neural network: Unrimed_simulation_wholespecturm_train_V2.nc, Unrimed_simulation_wholespecturm_test_V2.nc
 This was the result of combining the PSDs and DDA/GMM particles randomly to build the training and test dataset.

3) Notebook for training the network using the synthetic database and Google Colab (tensorflow): Train_Neural_Network_Chase2020.ipynb
 This is the notebook used to train the neural network.

4)Trained tensorflow neural network: NN_6by8.h5 This is the hdf5 tensorflow model that resulted from the training. You will need this to run the retrieval.

5) Scalers needed to apply the neural network: scaler_X_V2.pkl, scaler_y_V2.pkl These are the sklearn scalers used in training the neural network. You will need these to scale your data if you wish to run the retrieval.

6) <b>New in this version</b> - Example notebook of how to run the trained neural network on Ku- Ka- band observations. We showed this with the 3rd case in the paper: Run_Chase2021_NN.ipynb

7) <b>New in this version</b> - APR data used to show how to run the neural network retrieval: Chase_2021_NN_APR03Dec2015.nc

The data for the analysis on the observations are not provided here because of the size of the radar data. Please see the GHRC website (https://ghrc.nsstc.nasa.gov/home/) if you wish to download the radar and in-situ data or contact me. We can coordinate transferring the exact datafiles used.

The GPM-DPR data are avail. here: http://dx.doi.org/10.5067/GPM/DPR/GPM/2A/05
DOI: 10.23729/fd-2173ef28-25da-3c24-994f-cd41035aa114
title: MMP release following cartilage injury leads to collagen loss in intact tissue – a computational study

description: These data include:

1) Computational finite element models (Abaqus, COMSOL Multiphysics) of injuriously loaded 2D cartilage plug,

2) MATLAB codes to process models results, and 

3) Experimentally observed collagen content results in immature bovine cartilage plugs subjected to injurious loading.
DOI: 10.15468/dl.zeyt8t
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen, Fossil, Living Specimen)",
 "DatasetKey is UAM Bird Collection (Arctos)",
 "Geometry POLYGON((-227.69374 31.45071,-114.39548 31.45071,-114.39548 82.22138,-227.69374 82.22138,-227.69374 31.45071))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fulmarus glacialis"
 ]
}

 The dataset includes 55 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063413-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18022796
title: Electric and Heat Load Profiles, PV Generation, Temperature Data, and Stratified Thermal Storage Parameters for a Single-Family House in Northern Germany

description: This dataset consists of electric and heat load profiles, photovoltaic generation, temperature data, and stratified thermal storage parameters for a single-family house located in Northern Germany. The hourly electric load profile (in kW) was generated by using the Python package demandlib [1] from the Open Energy Modelling Framework (oemof) [2] with the assumption of an annual electric demand of 4919 kWh. The hourly temperature data (in ºC) was obtained from Deutscher Wetterdienst (DWD) [3] for a location in Northern Germany. With the temperature data and assuming 21402 kWh of annual heat demand, the hourly heat load profile (in kW) was obtained by using the Python package demandlib. The first timestep of the hourly electric load profile, heat load profile, photovoltaic generation, and temperature profile starts on January 1st, 00:00. To obtain the photovoltaic generation (normalized), PVGIS [4] was used. In addition, information about parameters of a stratified thermal storage is included, which is based on public data from the Python package oemof.thermal [5]. This dataset can be useful as input data for an energy system optimization model.
DOI: 10.5281/zenodo.18022797
title: Electric and Heat Load Profiles, PV Generation, Temperature Data, and Stratified Thermal Storage Parameters for a Single-Family House in Northern Germany

description: This dataset consists of electric and heat load profiles, photovoltaic generation, temperature data, and stratified thermal storage parameters for a single-family house located in Northern Germany. The hourly electric load profile (in kW) was generated by using the Python package demandlib [1] from the Open Energy Modelling Framework (oemof) [2] with the assumption of an annual electric demand of 4919 kWh. The hourly temperature data (in ºC) was obtained from Deutscher Wetterdienst (DWD) [3] for a location in Northern Germany. With the temperature data and assuming 21402 kWh of annual heat demand, the hourly heat load profile (in kW) was obtained by using the Python package demandlib. The first timestep of the hourly electric load profile, heat load profile, photovoltaic generation, and temperature profile starts on January 1st, 00:00. To obtain the photovoltaic generation (normalized), PVGIS [4] was used. In addition, information about parameters of a stratified thermal storage is included, which is based on public data from the Python package oemof.thermal [5]. This dataset can be useful as input data for an energy system optimization model.
DOI: 10.7910/dvn/gtoooc
title: Replication Data for: Restaurant Employment, Minimum Wages, and Border Discontinuities

description: This is the replication package for "Restaurant Employment, Minimum Wages, and Border Discontinuities," accepted in 2025 by the Journal of Political Economy: Microeconomics.
DOI: 10.5281/zenodo.18025019
title: Internal Conjugate States of Matter: Energetic Activation, Degradation, Phase Transitions, Photoluminescence, and the Emergence of Time

description: This work presents a unified physical hypothesis proposing that all material systems possess internal conjugate states whose energetic activation governs material stability, degradation, magnetization hysteresis, lamp aging, photoluminescent decay, phase transitions, planetary evolution, and the emergence of time. The framework interprets irreversibility and aging as manifestations of phase-modulated internal dynamics compatible with established physics and offering indirect experimental predictions.

 

Creative Commons Attribution 4.0 International

“El autor solicita que cualquier aplicación médica o comercial derive en acuerdos de colaboración o reconocimiento explícito.
DOI: 10.5281/zenodo.18025020
title: Internal Conjugate States of Matter: Energetic Activation, Degradation, Phase Transitions, Photoluminescence, and the Emergence of Time

description: This work presents a unified physical hypothesis proposing that all material systems possess internal conjugate states whose energetic activation governs material stability, degradation, magnetization hysteresis, lamp aging, photoluminescent decay, phase transitions, planetary evolution, and the emergence of time. The framework interprets irreversibility and aging as manifestations of phase-modulated internal dynamics compatible with established physics and offering indirect experimental predictions.

 

Creative Commons Attribution 4.0 International

“El autor solicita que cualquier aplicación médica o comercial derive en acuerdos de colaboración o reconocimiento explícito.
DOI: 10.5281/zenodo.18025145
title: SMA project: 3 bodies 1 flow (DATA)

description: Dataset consists of .amuse files from three different converter cases shown in the report. 4MSun, 4RSun is seperate file, as it is used with default main.py file at https://github.com/dhwanilpate1/amuse_grp2
DOI: 10.5281/zenodo.18025144
title: SMA project: 3 bodies 1 flow (DATA)

description: Dataset consists of .amuse files from three different converter cases shown in the report. 4MSun, 4RSun is seperate file, as it is used with default main.py file at https://github.com/dhwanilpate1/amuse_grp2
DOI: 10.15468/dl.79tkx7
title: Occurrence Download

description: A dataset containing 51760 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myrmoborus",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 51760 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063410-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60493/afjne-qrp26
title: Leipzig, Germany by Paul Neumeier, Jan Hempel, Clemens Mosig - part of deadtrees.earth

description: Timeseries
DOI: 10.15468/dl.5q3t2b
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Continent is Asia",
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Limnonectes magnus"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063414-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrgr7s
title: Occurrence Download

description: A dataset containing 1104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myrmothera subcanescens",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 1104 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063415-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xsbrv
title: Occurrence Download

description: A dataset containing 237 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Avifauna asociada a humedales urbanos del municipio de Quibdó - Chocó, 2019"
 ]
}

 The dataset includes 237 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063416-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18024940
title: THE ROLE OF LOCAL GOVERNMENT IN SUPPORTING THE HALAL PRODUCT CERTIFICATION PROCESS (CASE STUDY OF PAMEKASAN CITY SLAUGHTER)

description: This data is about Halal certification readines score of sluagherhouses in Pamekasan regency
DOI: 10.5281/zenodo.18024941
title: THE ROLE OF LOCAL GOVERNMENT IN SUPPORTING THE HALAL PRODUCT CERTIFICATION PROCESS (CASE STUDY OF PAMEKASAN CITY SLAUGHTER)

description: This data is about Halal certification readines score of sluagherhouses in Pamekasan regency
DOI: 10.5281/zenodo.18024943
title: Volatile particles can lead to contrail ice formation by aircraft with lean-burn engines: ACM model simulations

description: The two .txt files contain curves simulated with an updated aerosol and contrail microphysics (ACM) model (Yu et al., 2024, https://pubs.acs.org/doi/10.1021/acs.est.4c04340) as given in Figures 2a & 2b of the manuscript entitled "Volatile particles can lead to contrail ice formation by aircraft with lean-burn engines" published by Voigt et al. in Nature.
DOI: 10.5281/zenodo.18024944
title: Volatile particles can lead to contrail ice formation by aircraft with lean-burn engines: ACM model simulations

description: The two .txt files contain curves simulated with an updated aerosol and contrail microphysics (ACM) model (Yu et al., 2024, https://pubs.acs.org/doi/10.1021/acs.est.4c04340) as given in Figures 2a & 2b of the manuscript entitled "Volatile particles can lead to contrail ice formation by aircraft with lean-burn engines" published by Voigt et al. in Nature.
DOI: 10.7910/dvn/yfrecd
title: A high resolution urban and rural settlement map of Africa

description: This study introduces a high-resolution rural-urban maps for Africa by integrating land cover and human settlement data using deep learning. The model, based on the DeepLabV3 architecture, classifies land into urban, rural, and non-settlement areas at a 10-meter resolution, improving accuracy in distinguishing these regions. This enhanced rural-urban map provides valuable insights to support more informed decisions for urban planning, sustainable development, and environmental management in Africa.
To identify the relevant patch ID, refer to the file AfricaGeometry.PNG.
Each image contains 7 bands (b1 to b7), corresponding to the years 2016 through 2022.
You can use the GEE app below to surf the map and get the download link.
https://kakooeimohammd.users.earthengine.app/view/rural-urban-africa
DOI: 10.15468/dl.8qtwt3
title: Occurrence Download

description: A dataset containing 1296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myrmotherula iheringi",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 1296 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063418-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18025181
title: A Collaborative Model Of Persuasive Communication With Stakeholders To Accelerate Halal Certification In Sumenep Regency

description: This data is about quesionnare report from a research entitled A Collaborative Model Of Persuasive Communication With Stakeholders To Accelerate Halal Certification In Sumenep Regency