cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xftwh2
title: Occurrence Download

description: A dataset containing 109545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Issue is one of (Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection suspicious, Footprint SRS invalid, Footprint WKT mismatch, Footprint WKT invalid, Country derived from coordinates, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date invalid, Recorded date unlikely, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, Occurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia",
 "Year 1990-2025"
 ]
}

 The dataset includes 109545 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002077-251120083545085/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/13816364
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.30675272
title: Raw Data for Figures

description: Raw Data for publication
DOI: 10.6084/m9.figshare.30675272.v1
title: Raw Data for Figures

description: Raw Data for publication
DOI: 10.17605/osf.io/j4fn3
title: Delta for Tang poets

description: In this repository, you can find data for a research that tested the performance of Burrows's Delta for Chinese Tang poetry texts.
DOI: 10.6084/m9.figshare.30675281
title: STUDENTS

description: STUDENTS
DOI: 10.6084/m9.figshare.30675281.v1
title: STUDENTS

description: STUDENTS
DOI: 10.15468/dl.b4mwkt
title: Occurrence Download

description: A dataset containing 2484 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Programme les sentinelles du climat - effets du changement climatique sur la biodiversité en région Nouvelle-Aquitaine-Programme les sentinelles du climat - Protocole lépidoptères et ascalaphes de pelouses calcicoles produit par Cistude"
 ]
}

 The dataset includes 2484 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002099-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17667860
title: NoorGhateh: A Benchmark Dataset for Training and Evaluating Arabic Morphological Analysis Systems

description: Noor-Ghateh: A Benchmark Dataset for Evaluating Arabic Word Segmentation Tools in the Hadith Domain

📘 Overview

Noor-Ghateh is a manually annotated Classical Arabic morphological dataset derived from the jurisprudential text Sharayeʿ al-Islam.The dataset provides fine-grained clitic segmentation, 14 morphological attributes, and gold-standard human annotation, making it a valuable benchmark for:





Morphological analyzers




Segmentation systems




Lemmatizers & root extractors




Classical Arabic NLP research




Benchmarking domain sensitivity across analyzers



The dataset includes 223,690 tokens, with a publicly available 313-token sample released in XML, JSON, and CSV-embedded-XML formats.

🧱 Data Format

1. XML Format (Primary)

The XML structure uses <Base> → <Root> → <word> hierarchy.Each <word> element includes 14 morphological attributes such as:





Seq — morpheme order




Slice — surface form




Affix — prefix/suffix/stem




Pos, Lemma, Case, Categ, DervT, Num, Root




TOV, Voic, Kol, Lang



2. JSON Format

Direct JSON mapping of the XML hierarchy for machine learning pipelines.

3. CSV-embedded XML

Each row contains:Surface form — Segmented form — XML annotation block

🎯 Intended Use Cases





Training and evaluating morphological segmentation systems




Testing classical Arabic analyzers (Farasa, CAMeL Tools, ALP, MADAMIRA)




Building lemmatizers and root extractors




Domain-sensitivity analysis




Digital humanities research in Hadith & jurisprudence




Linguistic studies of Classical Arabic morphology
DOI: 10.6084/m9.figshare.30675292
title: An integrated framework for 3D time history analysis of steel special moment-resisting frame buildings under sequential flood and earthquake hazards

description: With climate change intensifying risks of extreme precipitation and riverine flooding, reassessing building resilience under multi-hazard scenarios, particularly those involving earthquakes, has become increasingly important. This study proposes an integrated framework for three-dimensional (3D) nonlinear time history analysis (NLTHA) to evaluate structural performance under sequential earthquake and flood events. By coupling advanced Computational Fluid Dynamics (CFD) simulations with earthquake engineering methods, the framework captures the time-dependent interaction of seismic and hydrodynamic forces. This overcomes limitations of previous research that relied on oversimplified flood-earthquake interaction models. The analysis focuses on steel special moment-resisting frame (SMRF) buildings in Los Angeles, California. Thirteen seismic hazard levels and four flood inundation depths are analysed, producing detailed engineering demand parameters (EDPs) for both earthquake-only and combined hazard scenarios. Structural vulnerability is evaluated through ductility and plastic hinge rotation in columns and beams. Results show flooding significantly amplifies EDPs, especially in lower stories and front-facing elements, emphasising the need to revise design and assessment strategies for buildings in flood-prone areas. Furthermore, vortex shedding and asymmetric water flow patterns around corners and side columns increase localised hydrodynamic pressures. This integrated approach provides engineers with a comprehensive framework for analysing structures to withstand future climate-driven multi-hazard events.
DOI: 10.6084/m9.figshare.30675292.v1
title: An integrated framework for 3D time history analysis of steel special moment-resisting frame buildings under sequential flood and earthquake hazards

description: With climate change intensifying risks of extreme precipitation and riverine flooding, reassessing building resilience under multi-hazard scenarios, particularly those involving earthquakes, has become increasingly important. This study proposes an integrated framework for three-dimensional (3D) nonlinear time history analysis (NLTHA) to evaluate structural performance under sequential earthquake and flood events. By coupling advanced Computational Fluid Dynamics (CFD) simulations with earthquake engineering methods, the framework captures the time-dependent interaction of seismic and hydrodynamic forces. This overcomes limitations of previous research that relied on oversimplified flood-earthquake interaction models. The analysis focuses on steel special moment-resisting frame (SMRF) buildings in Los Angeles, California. Thirteen seismic hazard levels and four flood inundation depths are analysed, producing detailed engineering demand parameters (EDPs) for both earthquake-only and combined hazard scenarios. Structural vulnerability is evaluated through ductility and plastic hinge rotation in columns and beams. Results show flooding significantly amplifies EDPs, especially in lower stories and front-facing elements, emphasising the need to revise design and assessment strategies for buildings in flood-prone areas. Furthermore, vortex shedding and asymmetric water flow patterns around corners and side columns increase localised hydrodynamic pressures. This integrated approach provides engineers with a comprehensive framework for analysing structures to withstand future climate-driven multi-hazard events.
DOI: 10.5064/f6mao6tq/dosqpq
title: Miro_Interview06.pdf
DOI: 10.5064/f6mao6tq/gwocbe
title: Miro_ConsentForm_English.pdf
DOI: 10.5064/f6mao6tq/hvewk2
title: Miro_Interview01.pdf
DOI: 10.5064/f6mao6tq/urc3o2
title: Miro_Interview10.pdf
DOI: 10.5064/f6mao6tq/ijkr5o
title: Miro_Interview08.pdf
DOI: 10.5064/f6mao6tq/tfp4tj
title: Miro_Interview09.pdf
DOI: 10.5064/f6mao6tq/btuwgt
title: Miro_ConsentForm_Catalan.pdf
DOI: 10.5064/f6mao6tq/iampvf
title: Miro_DataNarrative.pdf
DOI: 10.5064/f6mao6tq/bpaqzw
title: Miro_InterviewGuide.pdf
DOI: 10.5064/f6mao6tq/siiyor
title: Miro_Interview05.pdf
DOI: 10.5064/f6mao6tq/9iyffs
title: Miro_Interview07.pdf
DOI: 10.5064/f6mao6tq/nmtvih
title: Miro_Interview04.pdf
DOI: 10.5064/f6mao6tq/3m3kvt
title: Miro_Interview02.pdf
DOI: 10.5064/f6mao6tq/bid2mr
title: Miro_Interview03.pdf
DOI: 10.5064/f6mao6tq/tsa9ie
title: Miro_Interview11.pdf
DOI: 10.5064/f6mao6tq/ohgif6
title: README_Miro.txt
DOI: 10.25574/29993
title: Chandra X-ray Observatory ObsId 29993

description: Too Young to Dim: What Lowers Reionization's Light?
DOI: 10.15468/dl.ymz5py
title: Occurrence Download

description: A dataset containing 12255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Finland",
 "DatasetKey is National Butterfly Recording Scheme in Finland (NAFI)",
 "Geometry POLYGON((-180 65,180 65,180 75,-180 75,-180 65))",
 "Year 2021-2025"
 ]
}

 The dataset includes 12255 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002103-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/32003
title: Chandra X-ray Observatory ObsId 32003

description: Too Young to Dim: What Lowers Reionization's Light?
DOI: 10.34876/vyy5-nh15
title: Dataset for the publication "Inference in wolves and dogs: the ‘cups task’, revisited"

description: Dataset for the publication:

Dániel Rivas-Blanco, Sophia D. Krause, Sarah Marshall-Pescini, Friederike Range. Inference in wolves and dogs: the ‘cups task’, revisited. Animal Behaviour 227 (2025). doi.org/10.1016/j.anbehav.2025.123268
description: Each row of the dataset represents a trial. The columns, from left to right, are as follows: date (dd/mm/yyyy format), subject (name of the subject),	session (number of session for a given subject), session_part (part of the session, if it was divided in several days; the default value is 1, which applies both to the first part of a session and for the sessions that were not divided), species ("Wolf" or "Dog"), population ("pack" or "pet"; "pet" only applies to dogs), outcome_trial (0: incorrect, 1: correct), side_correct (side with the correct cup; "L": left, "R": right), first_side (first side shaken —only applicable for full information condition— "L": left, "R": right), side_chosen ("L": left, "R": right), condition ("full_info": full information, "affirm_conseq": affirming the consequent, "deny_conseq": denying the consequent, "no_info": no information), sex ("m" or "f"), trial (number of trial within a given session), age_days (days that had passed between the animal's birth and the session), days_aftr_food (days that had passed after the animal was last fed; always takes a value of 0 for dogs, since they are fed every day).
DOI: 10.6084/m9.figshare.30628091
title: Source data for "The Decade of China's Football Reform: Evolutionary Characteristics, Performance Evaluation, and Reflections and Insights"

description: This is an original document that utilizes the PMC model for analysis to evaluate football policy reforms. It mainly includes the original texts of ten representative policy documents, basic information on Excel data analysis, results of word frequency charts (showing the top 10 items), and a sample of the expert questionnaire (appendix). Given that the experts' scoring information is recorded in handwritten forms and to ensure the anonymity and privacy of the experts, the original expert scoring sheets will not be uploaded.
DOI: 10.6084/m9.figshare.30628091.v1
title: Source data for "The Decade of China's Football Reform: Evolutionary Characteristics, Performance Evaluation, and Reflections and Insights"

description: This is an original document that utilizes the PMC model for analysis to evaluate football policy reforms. It mainly includes the original texts of ten representative policy documents, basic information on Excel data analysis, results of word frequency charts (showing the top 10 items), and a sample of the expert questionnaire (appendix). Given that the experts' scoring information is recorded in handwritten forms and to ensure the anonymity and privacy of the experts, the original expert scoring sheets will not be uploaded.
DOI: 10.6084/m9.figshare.30628091.v2
title: Source data for "The Decade of China's Football Reform: Evolutionary Characteristics, Performance Evaluation, and Reflections and Insights"

description: This is an original document that utilizes the PMC model for analysis to evaluate football policy reforms. It mainly includes the original texts of ten representative policy documents, basic information on Excel data analysis, results of word frequency charts (showing the top 10 items), and a sample of the expert questionnaire (appendix). Given that the experts' scoring information is recorded in handwritten forms and to ensure the anonymity and privacy of the experts, the original expert scoring sheets will not be uploaded.
DOI: 10.15468/dl.qwp6mc
title: Occurrence Download

description: A dataset containing 1149605 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation)",
 "Geometry POLYGON((5.09699 52.00749,5.63301 52.00749,5.63301 52.27758,5.09699 52.27758,5.09699 52.00749))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1925-2025"
 ]
}

 The dataset includes 1149605 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002084-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17670517
title: Serial Crystallography-Optimized Sample Preparation with MYELIn: Novel Homogeneous Protein Microcrystal Yield Density Control via Sequential Pulsed Electric Fields and Ultrasonic Irradiation
DOI: 10.5281/zenodo.17670516
title: Serial Crystallography-Optimized Sample Preparation with MYELIn: Novel Homogeneous Protein Microcrystal Yield Density Control via Sequential Pulsed Electric Fields and Ultrasonic Irradiation
DOI: 10.5281/zenodo.17670606
title: Ecosystem service indicator  maps 2015-2022 for he NL4DL case study Asterousia (Crete, Greece)

description: The data set contains the  ecosystem services maps assessed for the case study area of Asterousia (Crete, Greece) within the framwowrk of the New Life 4Dryland Project (www.https://www.newlife4drylands.eu/en/). The methdology for the ecosystem service assessment is described in detail in the project deliverebale A.3 "Ecosystem Services Assessment in the six NewLife4Drylands case study areas" (available at https://doi.org/10.5281/zenodo.12603958). 

The ecosystem services indicators assessed for the Austerousia study area are:  Above Ground Biomass (AGB), Above Ground Carbon Stock (AGCS) and Soil Erosion Control (SEC). The assessments are for the years 2015 to 2022; mapped values are 0-1 standardized indicators of potential ecosystem service supply with respect to the baseline year (2015), All maps are in GEO TIFF format (raster) at 25m resolution; Coordinate Reference System (CRS) is  EPSG:2100 - GGRS87 / Greek Grid.

The assessment of AGB was based on NDVI data (10 m resolution); NDVI data 2015-2022 (median values) are provided at 10m resolution. Coordinate Reference System (CRS) is  EPSG:2100 - GGRS87 / Greek Grid.

The assessment of AGCS was based on MODIS NPP data downscaled at 25 m resolution; NPP data for the baseline year 2015 are provided along with the differences between NPP estimates for the years 2016 to 2022 and the 2015 baseline. Coordinate Reference System (CRS) is  EPSG:2100 - GGRS87 / Greek Grid.

The assessment of SEC was based on RUSLE estimates (100 m resolution) downscaled at 25 m resolutions. Yearly values for the soil erosion mass avoided by vegetaion (Mg/ha) are provided for the years 2015 to 2022 (25 m resolution). Coordinate Reference System (CRS) is  EPSG:2100 - GGRS87 / Greek Grid.
DOI: 10.5281/zenodo.17670607
title: Ecosystem service indicator  maps 2015-2022 for he NL4DL case study Asterousia (Crete, Greece)

description: The data set contains the  ecosystem services maps assessed for the case study area of Asterousia (Crete, Greece) within the framwowrk of the New Life 4Dryland Project (www.https://www.newlife4drylands.eu/en/). The methdology for the ecosystem service assessment is described in detail in the project deliverebale A.3 "Ecosystem Services Assessment in the six NewLife4Drylands case study areas" (available at https://doi.org/10.5281/zenodo.12603958). 

The ecosystem services indicators assessed for the Austerousia study area are:  Above Ground Biomass (AGB), Above Ground Carbon Stock (AGCS) and Soil Erosion Control (SEC). The assessments are for the years 2015 to 2022; mapped values are 0-1 standardized indicators of potential ecosystem service supply with respect to the baseline year (2015), All maps are in GEO TIFF format (raster) at 25m resolution; Coordinate Reference System (CRS) is  EPSG:2100 - GGRS87 / Greek Grid.

The assessment of AGB was based on NDVI data (10 m resolution); NDVI data 2015-2022 (median values) are provided at 10m resolution. Coordinate Reference System (CRS) is  EPSG:2100 - GGRS87 / Greek Grid.

The assessment of AGCS was based on MODIS NPP data downscaled at 25 m resolution; NPP data for the baseline year 2015 are provided along with the differences between NPP estimates for the years 2016 to 2022 and the 2015 baseline. Coordinate Reference System (CRS) is  EPSG:2100 - GGRS87 / Greek Grid.

The assessment of SEC was based on RUSLE estimates (100 m resolution) downscaled at 25 m resolutions. Yearly values for the soil erosion mass avoided by vegetaion (Mg/ha) are provided for the years 2015 to 2022 (25 m resolution). Coordinate Reference System (CRS) is  EPSG:2100 - GGRS87 / Greek Grid.
DOI: 10.5281/zenodo.17670801
title: Batteryless IoT Sensing Using Thermoelectric Energy Harvesting from Industrial Motor Waste Heat
DOI: 10.15468/dl.7f6u84
title: Occurrence Download

description: A dataset containing 952 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Programme les sentinelles du climat - effets du changement climatique sur la biodiversité en région Nouvelle-Aquitaine-Observations faunistiques fortuites réalisées par le CEN Aquitaine"
 ]
}

 The dataset includes 952 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002107-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kr48v5
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Phylloscopus emeiensis",
 "Year 2024-2025"
 ]
}

 The dataset includes 198 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002108-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17670683
title: TMY files for Norway based on CERRA data from 2006-2020

description: This dataset includes TMY files for all municipalities in Norway, based on CERRA data from 1991-2020, and using a TMY3 type methodology, where the FS weighing is skewed towards temperatures during the winter months (October to March).  The files represents a statistically typical year meant for energy calculations of buildings, and are therefore not suited for evaluating extreme conditions.

The repository contains:



EPW-files - zipped collection of .epw-files



The most common file format for climate data for energy simulations applicable to most programs



Datasheets - a zip files of individual datasheets 



A collection of datasheets containing a comparison of TMYs with the data source as well as referance data

The datasheets contain Norwegian text



Overview of Error metrics - ZIP files containing plots of error metrics  



Error metrics mapped to a map of Norway, for visualization purposes



Changelog - a txt file



a overview of changes in the dataset since 1.0




The contents of the repository is produced by The Norwegian University og Life Science (NMBU), Department of Building- and Environmental Technology. But based on the same code base as the repository TMY files for Norway based on CERRA data from 1991-2020 that was made in collaboration with The Norwegian Meteorological Office (MET).

The data is provided 'as is', without warranty of any kind, express or implied. In no event shall the authors be liable for any claim, damages or other liability.An interactive map containing the data can be found at https://klimadataforbygninger.no/

When citing the data, please reference:

Thiis, Petersen, Fuglestvedt, Hygen (2025) "Typical Meteorological Years Tailored for High Latitudes Based on High-Resolution Reanalysis data ", Journal of Building Performance Simulation, DOI: 10.1080/19401493.2025.2573724