cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17700479
title: MUSE - Time Savings and Predictability for Emergency Deliveries Between Hospitals in Madrid

description: This dataset contains all input, processed, and final data used in the article “Unmanned Aircraft for Emergency Deliveries Between Hospitals in Madrid: Estimating Time Savings and Predictability” (Ganić, E.; Barrado, C.; Krstić Simić, T.; Kuljanin, J.; Baena, M. Drones 2025, 9, 728. https://doi.org/10.3390/drones9110728).

The dataset enables full reproducibility of the comparison between drone-based and road-based emergency deliveries, including the estimation of time savings, predictability, and related performance indicators for hospital-to-hospital transport in Madrid. The results correspond to the MUSE performance indicator “AE-2: Reduced travel time for health care-related deliveries”, which quantifies the amount of time reduced for healthcare-related deliveries by UAs compared to the delivery by road transport during the observed time period.

The dataset is organised into the following components:





Hospital data – coordinates and names of all hospitals included in the analysis.




Raw Google Routes API data – hourly road travel time JSON responses collected for seven consecutive days (04–10 May 2026) for all selected hospital pairs and directions.




Processed road travel time tables – CSV files with aggregated travel times derived from the API responses.




Drone travel time datasets – CSV file with estimated min, mean and max travel times for DJI Matrice 600 and RigiTech Eiger drone models used in the comparison obtained using GEMMA tool.




Final indicator calculations – Excel and csv files containing the computed metrics (time savings, predictability, and AE-2 indicator values).



All files are provided in open, interoperable formats (JSON, CSV, XLSX).
DOI: 10.5281/zenodo.17700480
title: MUSE - Time Savings and Predictability for Emergency Deliveries Between Hospitals in Madrid

description: This dataset contains all input, processed, and final data used in the article “Unmanned Aircraft for Emergency Deliveries Between Hospitals in Madrid: Estimating Time Savings and Predictability” (Ganić, E.; Barrado, C.; Krstić Simić, T.; Kuljanin, J.; Baena, M. Drones 2025, 9, 728. https://doi.org/10.3390/drones9110728).

The dataset enables full reproducibility of the comparison between drone-based and road-based emergency deliveries, including the estimation of time savings, predictability, and related performance indicators for hospital-to-hospital transport in Madrid. The results correspond to the MUSE performance indicator “AE-2: Reduced travel time for health care-related deliveries”, which quantifies the amount of time reduced for healthcare-related deliveries by UAs compared to the delivery by road transport during the observed time period.

The dataset is organised into the following components:





Hospital data – coordinates and names of all hospitals included in the analysis.




Raw Google Routes API data – hourly road travel time JSON responses collected for seven consecutive days (04–10 May 2026) for all selected hospital pairs and directions.




Processed road travel time tables – CSV files with aggregated travel times derived from the API responses.




Drone travel time datasets – CSV file with estimated min, mean and max travel times for DJI Matrice 600 and RigiTech Eiger drone models used in the comparison obtained using GEMMA tool.




Final indicator calculations – Excel and csv files containing the computed metrics (time savings, predictability, and AE-2 indicator values).



All files are provided in open, interoperable formats (JSON, CSV, XLSX).
DOI: 10.5517/ccdc.csd.cc2lvmcg
title: CCDC 2408866: Experimental Crystal Structure Determination

description: Related Article: Linjun Sun, Xiao-Feng Xu, Jie Liu, Yu Guo, Yao-Fu Zeng|2025|Chem. Sel.|10|e202501776|doi:10.1002/slct.202501776
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m3glt
title: CCDC 2416406: Experimental Crystal Structure Determination

description: Related Article: Peng Yanfen, Wang Xinyue, Liu Tianbao, Wu Xiaoshuo, Wei Yujing|2025|Wuji Huaxue Xuebao|41|1416|doi:10.11862/CJIC.20250018
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m3gmv
title: CCDC 2416407: Experimental Crystal Structure Determination

description: Related Article: Peng Yanfen, Wang Xinyue, Liu Tianbao, Wu Xiaoshuo, Wei Yujing|2025|Wuji Huaxue Xuebao|41|1416|doi:10.11862/CJIC.20250018
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m3gnw
title: CCDC 2416408: Experimental Crystal Structure Determination

description: Related Article: Peng Yanfen, Wang Xinyue, Liu Tianbao, Wu Xiaoshuo, Wei Yujing|2025|Wuji Huaxue Xuebao|41|1416|doi:10.11862/CJIC.20250018
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.7807/immo:red:hk:v4
title: RWI Real Estate Data- Hauskauf
title: RWI Real Estate Data- Houses for Sale

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Häuser zum Verkauf auf der Webseite ImmobilienScout24
description: all houses for sale at ImmobilienScout24
description: full sample
DOI: 10.34740/kaggle/dsv/13851694
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.h3qqry
title: Occurrence Download

description: A dataset containing 21528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Periplaneta americana",
 "Year 1000-2025"
 ]
}

 The dataset includes 21528 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005840-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17700566
title: Student Scores Dataset for IT101 Course

description: A small dataset of student scores in the IT101 course for demonstrating the data curation process.
DOI: 10.5281/zenodo.17700565
title: Student Scores Dataset for IT101 Course

description: A small dataset of student scores in the IT101 course for demonstrating the data curation process.
DOI: 10.15468/dl.exx5tt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-116.0459 35.25464, -116.0458 35.25649, -116.0484 35.25652, -116.0486 35.25473, -116.0459 35.25464))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005841-251120083545085/datasets/export for details.
DOI: 10.15468/dl.wrbmss
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "DatasetKey is Suivi de l'expansion du Frelon asiatique (Vespa velutina) : données Frelon",
 "GadmGid is FRA.13_1",
 "Year 2015-2025"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005843-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25592/uhhfdm.18130
title: Annotated set of Palm-leaf Manuscripts

description: <strong>What is New in this version</strong>: The dataset is expanded to include annotations for binding-hole and palm-leaf detection, as well as a subset of uninked leaves. <br>
<br>
A dataset of words from colophons found in palm-leaf manuscripts hailing from Tamil Nadu has been created for the task of pattern detection from images provided by Centre for the Study of Manuscript Cultures (CSMC) for the manuscripts belonging to the Staats- und Universitätsbibliothek (SUB) Hamburg, and images provided by the Bibliothèque nationale de France (BnF), the library of the École française d’Extrême Orient (EFEO) in Pondicherry and the Cambridge University Library for their manuscript collections. All images and patterns are selected and annotated by Giovanni Ciotti from the CSMC within the scope of the activities of the Palm-Leaf Manuscript Profiling Initiative (PLMPI). A total of 10 words have been selected and annotated in 69 images.

The dataset has been split into three sub-sets (train, validation, test) in order to follow the standard procedure followed by modern deep-learning models. Furthermore, each image has one corresponding ".xml" file containing the annotation information of words in that image using the Pascal Voc format.

The research for this work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 ‘Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.
DOI: 10.25592/uhhfdm.11237
title: Annotated set of Palm-leaf Manuscripts

description: <strong>What is New in this version</strong>: The dataset is expanded to include annotations for binding-hole and palm-leaf detection, as well as a subset of uninked leaves. <br>
<br>
A dataset of words from colophons found in palm-leaf manuscripts hailing from Tamil Nadu has been created for the task of pattern detection from images provided by Centre for the Study of Manuscript Cultures (CSMC) for the manuscripts belonging to the Staats- und Universitätsbibliothek (SUB) Hamburg, and images provided by the Bibliothèque nationale de France (BnF), the library of the École française d’Extrême Orient (EFEO) in Pondicherry and the Cambridge University Library for their manuscript collections. All images and patterns are selected and annotated by Giovanni Ciotti from the CSMC within the scope of the activities of the Palm-Leaf Manuscript Profiling Initiative (PLMPI). A total of 10 words have been selected and annotated in 69 images.

The dataset has been split into three sub-sets (train, validation, test) in order to follow the standard procedure followed by modern deep-learning models. Furthermore, each image has one corresponding ".xml" file containing the annotation information of words in that image using the Pascal Voc format.

The research for this work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 ‘Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.
DOI: 10.15468/dl.knuh8e
title: Occurrence Download

description: A dataset containing 39385 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FBIP:SAEON: Historical Research Survey Database (1897-1949)"
 ]
}

 The dataset includes 39385 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005842-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.abkghn
title: Occurrence Download

description: A dataset containing 920708 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.30922 2.60327,9.37821 2.65274,8.21466 -0.8122,10.41799 -4.3976,11.53203 -4.07664,12.12619 -3.73086,11.77959 -2.56908,12.44802 -2.59381,13.46304 -2.74219,14.32951 -2.51961,14.77513 -0.63892,14.25525 0.20279,14.75038 0.49986,14.42854 1.81166,13.46304 1.48996,13.7106 2.55381,11.30922 2.60327))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 920708 records from 586 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005764-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7807/immo:red:wm:suf:v2
title: RWI Real Estate Data- Wohnungsmiete- suf
title: RWI Real Estate Data- Apartments for Rent- suf

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Wohnungen zur Miete auf der Webseite ImmobilienScout24
description: all apartments for rent at ImmobilienScout24
description: full sample
DOI: 10.15468/dl.y4yz8u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-115.9213 35.24804, -115.9205 35.25005, -115.9234 35.25042, -115.9246 35.24864, -115.9213 35.24804))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005844-251120083545085/datasets/export for details.
DOI: 10.7807/immo:red:wk:suf:v4
title: RWI Real Estate Data- Wohnungskauf- suf
title: RWI Real Estate Data- Apartments for Sale- suf

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Wohnungen zum Verkauf auf der Webseite ImmobilienScout24
description: all appartments for sale at ImmobilienScout24
description: full sample
DOI: 10.15468/dl.q3bymy
title: Occurrence Download

description: A dataset containing 984 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera onca"
 ]
}

 The dataset includes 984 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005846-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92vnqy
title: Occurrence Download

description: A dataset containing 720 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON((-68.67308 47.29652,-68.33414 44.4055,-65.7941 42.81368,-60.42408 44.91901,-59.13132 45.96174,-59.65458 46.99417,-63.87145 48.07608,-67.02308 48.24795,-68.67308 47.29652))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Micropterus"
 ]
}

 The dataset includes 720 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005847-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9fw5a
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((101.82199 -14.97017,132.43803 -14.97017,132.43803 -1.5217,101.82199 -1.5217,101.82199 -14.97017))",
 "TaxonKey is Munronia pinnata"
 ]
}

 The dataset includes 26 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005848-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11588/duerer.online.69246450c9dd2
title: Albrecht-Dürer-Haus in Nürnberg, 187193
DOI: 10.15468/dl.mgzwvv
title: Occurrence Download

description: A dataset containing 209654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gasterosteus aculeatus"
 ]
}

 The dataset includes 209654 records from 612 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005747-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gakx35
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-115.8607 35.18229, -115.8591 35.18374, -115.8609 35.18479, -115.863 35.18367, -115.8607 35.18229))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005849-251120083545085/datasets/export for details.
DOI: 10.15468/dl.9avj9v
title: Occurrence Download

description: A dataset containing 103280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Antarctica",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 103280 records from 307 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005806-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58153/t46nf-9tn18
title: Consumer Historical Data

description: Data Axle (formerly known as Infogroup) Consumer Historical data consists of information about households within the United States, including aspects like household income, home value, years in residence and location. For the full list of variables, see the data dictionary provided.
The data is compiled from data provided by more than 100 sources including real estate, tax assessments, voter registrations, utility connections, bill processors and more. The historical files are available from 2006 to 2024. New data are added each calendar year. This metadata record and the documentation for the dataset will be updated every year.
description: Access is restricted to NYU users only. For more information, see the Consumer Historical Research Guide.
Access is further restricted by status: Undergraduate students - completing a capstone, graduate students, staff, faculty, visiting scholar/scholar-in-residence
To request access to the data files, you will need to:

Complete a Data Management Plan using our template in DMPTool. You can login with your NetID and password by selecting the institutional login. Export your data management plan as a PDF, you will need to attach it in the next step. If you are an undergraduate student who is not working on a capstone project, skip this step and go to #2.
Submit Terms of Use Form, indicating Consumer Historical data is limited to use for personal academic research purposes only.
Once you have been granted access to the data, you can download it using one of two available options: 

Globus
Research Workspace (project_name: consumer_historical; Instructions for mounting your drive)
Note: accessing data files in the cloud (without downloading) is only possible through Research Workspace.
DOI: 10.15468/dl.j94fb2
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenodermichthys copei (Gill, 1884)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-16.6672 18.7728,-16.5468 17.7486,-16.9133 16.7746,-17.0265 15.925,-17.4754 15.299,-17.9607 15.0106,-18.0159 14.6088,-17.2825 13.9103,-17.2971 12.4437,-17.1163 12.0176,-16.8424 11.8396,-16.9887 11.3363,-16.91 11.0108,-16.709 10.8496,-9.0352 10.8496,-9.0352 19.8496,-16.8896 19.8496,-17.0371 19.3335,-16.6672 18.7728))"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010572-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15577983
title: AYOLLARGA NISBATAN ZO'RAVONLIK PROFILAKTIKASI VA TARG'IBOT ISHLARI
DOI: 10.5281/zenodo.15577984
title: AYOLLARGA NISBATAN ZO'RAVONLIK PROFILAKTIKASI VA TARG'IBOT ISHLARI