cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17628566
title: Forcefields, MD trajectories and snapshot geometries for "Unravelling charging and discharging processes in organic radical-based electrodes - a hierachical molecular and quantum mechanical approach"

description: ffs.zip: Contains forcefields for the three different F-pentamers, tetrabutylammonium (Bu4N+), hexafluorophosphate (PF6-) and acetonitrile. A monomeric unit of the F-pentamer consists of a terthiophene to which a 2,2,6,6-Tetramethylpiperidinyloxyl (TEMPO) is attached to via a formamide-linker. The first F-pentamer has a positiviely charged TEMPO moiety (FNO.itp), the second F-pentamer is not charged (FU.itp) and the last F-pentamer has a positively charge thiophene-backbone (FT.itp). 

SOC100_uncharged.zip: Contains gromacs[1] trajectories (every 10th frame of the original trajectories) and TPR-files for the three production runs of the simulation cell containing 18 F-pentamers with charged TEMPO-moieties, 354 Bu4N+, 494 PF6- and 1853 acetonitrile molecules. 

SOC0_uncharged.zip: Contains gromacs trajectories (every 10th frame of the original trajectories) and TPR-files for the three production runs of the simulation cell containing 28 uncharged F-pentamers, 354 Bu4N+, 354 PF6- and 2253 acetonitrile molecules. SOC50_chargedNO_chargedThio.zip: Contains gromacs trajectories (every 10th frame of the original trajectories) and TPR-files for the three production runs of the simulation cell containing 14 uncharged F-pentamers, 7 F-pentamers with charged TEMPO moieties, 7 F-pentamers with charged thiophene-backbone, 354 Bu4N+, 424 PF6- and 2048 acetonitrile molecules.

SOC50_chargedNO.zip: Contains gromacs trajectories (every 10th frame of the original trajectories) and TPR-files for the three production runs of the simulation cell containing 14 uncharged F-pentamers, 14 F-pentamers with charged TEMPO moieties, 354 Bu4N+, 424 PF6- and 1876 acetonitrile molecules.  

snapshot_geometries: Contains xyz-files of all snapshots obtained from the three production runs from SOC50_chargedNO. Open valencies caused by "cuts" were padded with H-atoms using openbabel[2] (version 2.4).

[1] M.J. Abraham, T. Murtola, R. Schulz, S. Páll, J.C. Smith, B. Hess, and E. Lindahl, “GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers,” SoftwareX, 1–2 19–25 (2015)

[2]  Noel M. O’Boyle, Michael Banck, Craig A. James, Chris Morley, Tim Vandermeersch, Geoffrey R. Hutchison "Open Babel: An open chemical toolbox." J. Cheminf., 3, 33 (2011).
DOI: 10.15468/dl.vbrryf
title: Occurrence Download

description: A dataset containing 5139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence, Fossil)",
 "TaxonKey is Panthera tigris"
 ]
}

 The dataset includes 5139 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000438-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/8688463
title: Steam Reviews English - Dead by Daylight
DOI: 10.15468/dl.zjdsqk
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence, Fossil)",
 "TaxonKey is Panthera uncia"
 ]
}

 The dataset includes 160 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000439-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17248286
title: Dataset for: Unbiased structure assignment of peptide conformers: application of similarity scores to Ace-AA-O-Bzl vibrational spectra

description: This dataset provides input/output files and scripts for the publication: Unbiased structure assignment of peptide conformers: application of similarity scores to Ace-AA-O-Bzl vibrational spectra.
DOI: 10.5281/zenodo.17248285
title: Dataset for: Unbiased structure assignment of peptide conformers: application of similarity scores to Ace-AA-O-Bzl vibrational spectra

description: This dataset provides input/output files and scripts for the publication: Unbiased structure assignment of peptide conformers: application of similarity scores to Ace-AA-O-Bzl vibrational spectra.
DOI: 10.15468/dl.fs2jbt
title: Occurrence Download

description: A dataset containing 17188 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coffea arabica"
 ]
}

 The dataset includes 17188 records from 572 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000437-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unrcdu
title: Occurrence Download

description: A dataset containing 1992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.27066491163721",
 "DecimalLongitude is less than 7.27372446482161",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1992 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000440-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17250376
title: Benchmark Dataset for VLM Symbol Recognition in Engineering Blueprints

description: The BlueprintSymVL benchmark dataset for evaluating Vision Language Model (VLM) performance on symbol recognition in engineering drawings, which is published as part the paper "BlueprintSymVL: A Discriminative Benchmark for VLM Symbol Recognition in Engineering Blueprints".The dataset was derived from the Digitize-PID dataset originally published by Shubham Paliwal, Arushi Jain, Monika Sharma, and Lovekesh Vig, as part of the paper "Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams".The original dataset was modified for the purposes of evaluating the visual in-context learning capabilities of VLMs for symbol recognition in engineering diagrams. The changes include tiling, selection of appropriate examples, and the creation of new annotations.The dataset is organized as follows:



`Regular/`: 100 clean blueprint regions for the primary evaluation.

`Noisy/`: 100 occluded versions of the regions in `Regular/` to test robustness.

`Example Symbols/`: 5 standard visual examples (2 annotated instances each).

`Alternate Example Symbols/`: 5 alternate visual examples (1 annotated instance each).

`Symbol crops/`: 5 cropped symbol images for an ablation study.


 

The `Regular/` and `Noisy/` directories are organized by challenge scenario (e.g., `dense_regions`) and symbol class (e.g., `gate_valve`). Each folder contains 5 evaluation cases, each consisting of three files:





`image.jpg`: An 860x860 pixel image of the blueprint region.

`image_q.txt`: A text file with the question for the VLM (e.g., "How many gate symbols are in this image?").

 `image_a.txt`: The ground truth answer.



*Line 1*: The correct symbol count.

*Subsequent Lines*: The text labels of each symbol instance.





 

For questions, please contact Vasil Shteriyanov at v.shteriyanov1@tue.nl.

This dataset is available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
DOI: 10.5281/zenodo.17250377
title: Benchmark Dataset for VLM Symbol Recognition in Engineering Blueprints

description: The BlueprintSymVL benchmark dataset for evaluating Vision Language Model (VLM) performance on symbol recognition in engineering drawings, which is published as part the paper "BlueprintSymVL: A Discriminative Benchmark for VLM Symbol Recognition in Engineering Blueprints".The dataset was derived from the Digitize-PID dataset originally published by Shubham Paliwal, Arushi Jain, Monika Sharma, and Lovekesh Vig, as part of the paper "Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams".The original dataset was modified for the purposes of evaluating the visual in-context learning capabilities of VLMs for symbol recognition in engineering diagrams. The changes include tiling, selection of appropriate examples, and the creation of new annotations.The dataset is organized as follows:



`Regular/`: 100 clean blueprint regions for the primary evaluation.

`Noisy/`: 100 occluded versions of the regions in `Regular/` to test robustness.

`Example Symbols/`: 5 standard visual examples (2 annotated instances each).

`Alternate Example Symbols/`: 5 alternate visual examples (1 annotated instance each).

`Symbol crops/`: 5 cropped symbol images for an ablation study.


 

The `Regular/` and `Noisy/` directories are organized by challenge scenario (e.g., `dense_regions`) and symbol class (e.g., `gate_valve`). Each folder contains 5 evaluation cases, each consisting of three files:





`image.jpg`: An 860x860 pixel image of the blueprint region.

`image_q.txt`: A text file with the question for the VLM (e.g., "How many gate symbols are in this image?").

 `image_a.txt`: The ground truth answer.



*Line 1*: The correct symbol count.

*Subsequent Lines*: The text labels of each symbol instance.





 

For questions, please contact Vasil Shteriyanov at v.shteriyanov1@tue.nl.

This dataset is available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
DOI: 10.15468/dl.m46fmq
title: Occurrence Download

description: A dataset containing 1417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence, Fossil)",
 "TaxonKey is Prionailurus bengalensis"
 ]
}

 The dataset includes 1417 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000443-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27239580
title: Tortuosity of Delaunay Triangulations and Statistics of Shortest Paths

description: A tortuosity τDln of the Delaunay triangulation on plane and in 3D-space is defined and numerically calculated. This coefficient appears naturally in the porous media studies. The conjecture on the average number of links in the shortest path between two arbitrary points is formulated and statistically studied. The distribution of the number of links in the shortest paths in triangulations of square and disc on R2 is described.
DOI: 10.6084/m9.figshare.27239580.v1
title: Tortuosity of Delaunay Triangulations and Statistics of Shortest Paths

description: A tortuosity τDln of the Delaunay triangulation on plane and in 3D-space is defined and numerically calculated. This coefficient appears naturally in the porous media studies. The conjecture on the average number of links in the shortest path between two arbitrary points is formulated and statistically studied. The distribution of the number of links in the shortest paths in triangulations of square and disc on R2 is described.
DOI: 10.15468/dl.pw6efj
title: Occurrence Download

description: A dataset containing 763 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Caracterización de flora y fauna del Parque Nacional Natural Chingaza"
 ]
}

 The dataset includes 763 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000445-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2s8yb
title: Occurrence Download

description: A dataset containing 8574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Mustela erminea"
 ]
}

 The dataset includes 8574 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000446-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aysyrq
title: Occurrence Download

description: A dataset containing 2270 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.27372446482161",
 "DecimalLongitude is less than 7.276784018006",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2270 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000448-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8bwp8q
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Prionailurus iriomotensis"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000447-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17877/resolv-2024-m18zx3sp
title: How do I publish my data in RESOLVdata?

description: This is a tutorial from RESOLV Research Data Management in collaboration with TU Dortmund University's Research Data Service: "How do I publish my data in RESOLVdata?" In this dataset you will find a one-page handout and instructions in slide form on the basic process of getting started in RESOLVdata and the process of a data publication in this repository.
description: References to Tudodata curation checklist added
DOI: 10.15468/dl.eypef5
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Boletus aereus"
 ]
}

 The dataset includes 31 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000449-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7pf5t5
title: Occurrence Download

description: A dataset containing 176 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (CAST(occurrence.taxonkey AS INTEGER) = 9432 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 9432 OR CAST(occurrence.kingdomkey AS INTEGER) = 9432 OR CAST(occurrence.phylumkey AS INTEGER) = 9432 OR CAST(occurrence.classkey AS INTEGER) = 9432 OR CAST(occurrence.orderkey AS INTEGER) = 9432 OR CAST(occurrence.familykey AS INTEGER) = 9432 OR CAST(occurrence.genuskey AS INTEGER) = 9432 OR CAST(occurrence.specieskey AS INTEGER) = 9432)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.familykey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence."year"

 The dataset's 176 records were derived from 378 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000406-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/a0f59y
title: 5. Paut_data_paper_figures_code.Rmd

description: R script to generate figures
DOI: 10.57745/gqn4pj
title: 6. Classification of F&V.xlsx

description: Fruit and vegetable classification table used in the R script
DOI: 10.57745/yxupj3
title: 2. Database.xlsx

description: Dataset in Microsoft Excel® format
DOI: 10.57745/in65fb
title: 1. Database.csv

description: Dataset in “.csv” format
DOI: 10.57745/na9jar
title: 4. List of references.pdf

description: List of papers included in the dataset
DOI: 10.48544/b34fec08-67ea-4c06-8d66-71262f1cf2ca
title: Overflow tests on Dutch levees
DOI: 10.57745/0ibozf
title: 3. Summary of the database.csv

description: Summary of the dataset (meta-data), presenting the name, the definition, the unit and the availability of all extracted variables
DOI: 10.57745/icwv96
title: 1. Database.csv

description: Dataset in “.csv” format
DOI: 10.57745/8xouml
title: 3. Summary of the database.tab

description: Summary of the dataset (meta-data), presenting the name, the definition, the unit and the availability of all extracted variables
DOI: 10.57745/ouzl7u
title: 2. Database.xlsx

description: Dataset in Microsoft Excel® format
DOI: 10.57745/wpjfdv
title: 5. Paut_data_paper_figures_code.Rmd

description: R script to generate figures
DOI: 10.57745/a6ro19
title: 3. Summary of the database.tab

description: Summary of the dataset (meta-data), presenting the name, the definition, the unit and the availability of all extracted variables
DOI: 10.57745/vtibx8
title: 1. Database.csv

description: Dataset in “.csv” format
DOI: 10.57745/a8l6n4
title: 2. Database.xlsx

description: Dataset in Microsoft Excel® format
DOI: 10.57745/5b0hcn
title: 4. List of references.pdf

description: List of papers included in the dataset
DOI: 10.57745/lzldz5
title: 3. Summary of the database.tab

description: Summary of the dataset (meta-data), presenting the name, the definition, the unit and the availability of all extracted variables
DOI: 10.57745/buvrda
title: 5. Paut_data_paper_figures_code.Rmd

description: R script to generate figures
DOI: 10.57745/5gcx76
title: 7. List of unique intercrops.xlsx

description: List of the unique intercropping systems included in the database
DOI: 10.57745/p10trw
title: 6. Classification of F&V.xlsx

description: Fruit and vegetable classification table used in the R script
DOI: 10.57745/juiv0s
title: 1. Database.csv

description: Dataset in “.csv” format
DOI: 10.57745/ml7hip
title: 2. Database.xlsx

description: Dataset in Microsoft Excel® format
DOI: 10.57745/hg2qag
title: 1. Database.csv

description: Dataset in “.csv” format
DOI: 10.17632/ryhtvg7yws
title: Replication Package ``Do Teams Alleviate or Exacerbate Overreaction in Beliefs?'' (Journal of Financial Economics, 2025)

description: This replication package replicates the main figures and tables of the paper "Do Teams Alleviate or Exacerbate Overreaction in Beliefs?'' by Ricardo Barahona, Stefano Cassella, Kristy A.E. Jansen, and Vincenzo Pezone accepted for publication in the Journal of Financial Economics, 2025.
DOI: 10.57745/lkanjd
title: 3. Summary of the database.csv

description: Summary of the dataset (meta-data), presenting the name, the definition, the unit and the availability of all extracted variables
DOI: 10.57745/tuqzg2
title: 2. Database.xlsx

description: Dataset in Microsoft Excel® format
DOI: 10.57745/46ur0v
title: 6. Classification of F&V.xlsx

description: Fruit and vegetable classification table used in the R script
DOI: 10.57745/d814cf
title: 4. List of references.pdf

description: List of papers included in the dataset
DOI: 10.15468/dl.26nncu
title: Occurrence Download

description: A dataset containing 2352301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Medicago arabica, Arachis duranensis, Agastache rugosa, Eleocharis dulcis, Vicia lens, Lupinus luteus, Schoenus nigricans, Vigna radiata, Castanea mollissima, Jasminum sambac, Veronica anagallis-aquatica, Malus transitoria, Pistacia atlantica, Vitis heyneana, Scutellaria baicalensis, Liquidambar gracilipes, Hsuehochloa calcarea, Callicarpa nudiflora, Coptis chinensis, Cynara cardunculus, Elaeagnus mollis, Osmanthus fragrans, Syzygium jambos, Carex extensa, Heteromeles arbutifolia, Gnaphalium uliginosum, Vitis bryoniifolia, Oryza schlechteri, Karpatiosorbus bristoliensis, Salix repens, Impatiens noli-tangere, Cochlearia pyrenaica, Sesamum alatum, Pharus latifolius, Staphylea japonica, Pastinaca sativa, Gossypium sturtianum, Linanthus parryae, Carya illinoinensis, Phillyrea angustifolia, Cardamine hirsuta, Carallia pectinifolia, Samolus valerandi, Cassiope tetragona, Prunus davidiana, Crucihimalaya himalaica, Carallia brachiata, Vitis mustangensis, Poa pratensis, Adenosma indiana)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2352301 records from 5000 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000398-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ur4k3q
title: Occurrence Download

description: A dataset containing 4767816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is Poland",
 "OccurrenceStatus is Present",
 "Year 2006-2025"
 ]
}

 The dataset includes 4767816 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003529-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aht3aa
title: Occurrence Download

description: A dataset containing 1384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Narcissus poeticus L."
 ]
}

 The dataset includes 1384 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013428-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.