cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17588010
title: Crystalline or Amorphous? A Matter of Perspective

description: This dataset contains data and images investigated in the scientific study 'Crystalline or Amorphous? A Matter of Perspective' by Rui Xia1,2, Jiantao Li3, Yorick A. Birkhӧlzer 1, Haoyang Peng4,5,6, Kangning Zhao5,7,*, Ruohan Yu4, Congli Sun4,5, Lei Zhang4, Qi Liu8, Sungsik Lee10, Tianyi Li10, Yang Ren10,11, Jie Zheng1, Johan E. ten Elshof1, *, Mark Huijben1

1MESA+ Institute for Nanotechnology, University of Twente, P.O. Box 217, 7500AE, Enschede, The Netherlands

2College of New Energy and Electrical Engineering, Hubei University, Wuhan, 430062, P. R. China

3Chemical Sciences and Engineering Division, Argonne National Laboratory, Lemont, IL 60439, USA

4NRC (Nanostructure Research Centre), Wuhan University of Technology, Wuhan, 430070, P. R. China

5State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, International School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China

6Yangtze Laboratory, Wuhan, 430205, China

7School of Physical Sciences, Great Bay University, Dongguan, 523000 P. R. China 

8College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, 215123, China

9X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA

10Department of Physics, City University of Hong Kong, Kowloon, Hong Kong SAR, China

11Centre for Neutron Scattering, City University of Hong Kong, Kowloon, Hong Kong SAR, China
DOI: 10.15468/dl.wzk8zx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_1_GID","value":"FIN.1_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068600-251120083545085/datasets/export for details.
DOI: 10.25574/26964
title: Chandra X-ray Observatory ObsId 26964

description: The Beat Goes On
DOI: 10.25574/27994
title: Chandra X-ray Observatory ObsId 27994

description: F-Star Stellar Cycles
DOI: 10.25574/28801
title: Chandra X-ray Observatory ObsId 28801

description: HRC GTO: THE CLUSTER EVOLUTION REFERENCE ENSEMBLE AT LOW-Z (CEREAL): A LOW-MASS EXTENSION
DOI: 10.5281/zenodo.17185247
title: Leaf wax n-alkane isotope dataset and scripts

description: Data and scripts associated with Xie et al. 2026, temperature sensitivity of leaf wax n-alkane carbon isotopes: mechanisms and implications for terrestrial paleoclimates.
DOI: 10.5281/zenodo.18087259
title: Leaf wax n-alkane isotope dataset and scripts

description: Data and scripts associated with Xie et al. 2026, temperature sensitivity of leaf wax n-alkane carbon isotopes: mechanisms and implications for terrestrial paleoclimates.
DOI: 10.5281/zenodo.17632658
title: Data for: Tidally Torn (2025)

description: This dataset contains simulation outputs supporting the results presented in Patel, Quarles, Weinberg & Cuntz (2025), which investigates the long-term tidal evolution and survivability of large moons orbiting Earth-mass planets in the habitable zones of M-dwarf stars. All simulations were performed using the REBOUND N-body integrator (with tides enabled) and explore the outcomes for systems around M0, M2, and M4-type host stars across a range of planetary masses and semimajor axes.

📁 Archive Structure

The dataset is divided into three compressed .tar files, one per stellar type:







 



M0.tar
M2.tar
M4.tar



Each archive unpacks into a hierarchical directory structure:







 



<Mstar_type>/


   └── Mass[<planet_mass>]/


     └── ap[<planet_semimajor_axis>]/


                                 ├── sa[<planet_mass>,<semimajor_axis>]_698.bin          # REBOUND simulation archive


                                 ├── reb_tide[<planet_mass>,<semimajor_axis>]_698.txt  # System evolution parameters


                                 └── sim_params[<planet_mass>,<semimajor_axis>]_698.txt  # Integration metadata



Directory level meaning:








Level
Example
Meaning




1
M0/
Stellar spectral type used in simulation


2
Mass[1.00]/
Assumed planetary mass in Earth masses


3
ap[0.520]/
Initial planetary semimajor axis in AU


Files
listed below
Output products for that simulation configuration






📦 File Contents and Interpretation








File
Format
Description




sa[<planet_mass>,<semimajor_axis>]_698.bin
REBOUND binary archive
Complete simulator snapshot history, readable via rebound.Simulationarchive()


reb_tide[<planet_mass>,<semimajor_axis>]_698
ASCII
Time evolution of orbital + tidal parameters


sim_params[<planet_mass>,<semimajor_axis>]_698
ASCII
Simulation runtime settings, step sizes, error metrics






Important keyword flag:Both reb_tide and sim_params may contain the value Roche, indicating that the moon either entered the Roche limit or exceeded the dynamical stability limit, which classifies the simulation as unstable / moon lost.

🧩 Data Usage Guidance





Users may extract orbital histories directly using REBOUND’s Simulationarchive() function.




reb_tide is appropriate for statistical post-processing (e.g., survival time distributions, tidal migration rates).




Combined interpretation of reb_tide + sim_params flags is recommended when evaluating numerical convergence or physical termination conditions.



📚 Citation

Please cite both the paper and the Zenodo DOI:



Patel, S.D., Quarles, B., Weinberg N.N., & Cuntz, M. (2026), Tidally Torn: Why the Most Common Stars May Lack Large, Habitable-Zone Moons. AJ 171 11
DOI: 10.5281/zenodo.17632657
title: Data for: Tidally Torn (2025)

description: This dataset contains simulation outputs supporting the results presented in Patel, Quarles, Weinberg & Cuntz (2025), which investigates the long-term tidal evolution and survivability of large moons orbiting Earth-mass planets in the habitable zones of M-dwarf stars. All simulations were performed using the REBOUND N-body integrator (with tides enabled) and explore the outcomes for systems around M0, M2, and M4-type host stars across a range of planetary masses and semimajor axes.

📁 Archive Structure

The dataset is divided into three compressed .tar files, one per stellar type:







 



M0.tar
M2.tar
M4.tar



Each archive unpacks into a hierarchical directory structure:







 



<Mstar_type>/


   └── Mass[<planet_mass>]/


     └── ap[<planet_semimajor_axis>]/


                                 ├── sa[<planet_mass>,<semimajor_axis>]_698.bin          # REBOUND simulation archive


                                 ├── reb_tide[<planet_mass>,<semimajor_axis>]_698.txt  # System evolution parameters


                                 └── sim_params[<planet_mass>,<semimajor_axis>]_698.txt  # Integration metadata



Directory level meaning:








Level
Example
Meaning




1
M0/
Stellar spectral type used in simulation


2
Mass[1.00]/
Assumed planetary mass in Earth masses


3
ap[0.520]/
Initial planetary semimajor axis in AU


Files
listed below
Output products for that simulation configuration






📦 File Contents and Interpretation








File
Format
Description




sa[<planet_mass>,<semimajor_axis>]_698.bin
REBOUND binary archive
Complete simulator snapshot history, readable via rebound.Simulationarchive()


reb_tide[<planet_mass>,<semimajor_axis>]_698
ASCII
Time evolution of orbital + tidal parameters


sim_params[<planet_mass>,<semimajor_axis>]_698
ASCII
Simulation runtime settings, step sizes, error metrics






Important keyword flag:Both reb_tide and sim_params may contain the value Roche, indicating that the moon either entered the Roche limit or exceeded the dynamical stability limit, which classifies the simulation as unstable / moon lost.

🧩 Data Usage Guidance





Users may extract orbital histories directly using REBOUND’s Simulationarchive() function.




reb_tide is appropriate for statistical post-processing (e.g., survival time distributions, tidal migration rates).




Combined interpretation of reb_tide + sim_params flags is recommended when evaluating numerical convergence or physical termination conditions.



📚 Citation

Please cite both the paper and the Zenodo DOI:



Patel, S.D., Quarles, B., Weinberg N.N., & Cuntz, M. (2026), Tidally Torn: Why the Most Common Stars May Lack Large, Habitable-Zone Moons. AJ 171 11
DOI: 10.6084/m9.figshare.30963347
title: Research data set, data processing (code system and variables)

description: This study aims to identify the factors that can lead to potential communication crises in AI-enabled chatbots, based on real user experiences. The qualitative research method used was interpretive phenomenological research, as user experiences were at stake. In this context, in-depth interviews were conducted with 12 users who experienced chatbots in solving problems with different organisations in Turkey. The data set obtained as a result of the interviews was analysed using content analysis technique. The results highlighted 4 factors while expressing both the quality of artificial intelligence and users' experiences. These are: chatbots cannot understand users, they do not create an interaction environment, they cannot produce solutions, and they are insufficient in terms of speed and time.
DOI: 10.6084/m9.figshare.30963347.v4
title: Research data set, data processing (code system and variables)

description: This study aims to identify the factors that can lead to potential communication crises in AI-enabled chatbots, based on real user experiences. The qualitative research method used was interpretive phenomenological research, as user experiences were at stake. In this context, in-depth interviews were conducted with 12 users who experienced chatbots in solving problems with different organisations in Turkey. The data set obtained as a result of the interviews was analysed using content analysis technique. The results highlighted 4 factors while expressing both the quality of artificial intelligence and users' experiences. These are: chatbots cannot understand users, they do not create an interaction environment, they cannot produce solutions, and they are insufficient in terms of speed and time.
DOI: 10.6084/m9.figshare.30963347.v3
title: Research data set, data processing (code system and variables)

description: This study aims to identify the factors that can lead to potential communication crises in AI-enabled chatbots, based on real user experiences. The qualitative research method used was interpretive phenomenological research, as user experiences were at stake. In this context, in-depth interviews were conducted with 12 users who experienced chatbots in solving problems with different organisations in Turkey. The data set obtained as a result of the interviews was analysed using content analysis technique. The results highlighted 4 factors while expressing both the quality of artificial intelligence and users' experiences. These are: chatbots cannot understand users, they do not create an interaction environment, they cannot produce solutions, and they are insufficient in terms of speed and time.
DOI: 10.15468/dl.vhxhpw
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Spirodela polyrhiza",
 "Year 1970-2000"
 ]
}

 The dataset includes 35 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068603-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5u6mn
title: Occurrence Download

description: A dataset containing 185861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-11.61227 48.30794,-11.52196 35.47062,-1.76853 35.83752,7.89459 43.14374,8.43644 49.67083,1.48261 51.27989,-11.61227 48.30794))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Picea abies"
 ]
}

 The dataset includes 185861 records from 758 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068594-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3furx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_1_GID","value":"FIN.5_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068602-251120083545085/datasets/export for details.
DOI: 10.15468/dl.q92ge4
title: Occurrence Download

description: A dataset containing 356364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-11.61227 48.30794,-11.52196 35.47062,-1.76853 35.83752,7.89459 43.14374,8.43644 49.67083,1.48261 51.27989,-11.61227 48.30794))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus robur"
 ]
}

 The dataset includes 356364 records from 2622 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068599-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvix96
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Aextoxicon punctatum Ruiz & Pav.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 120 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003427-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1k4w3s
title: Occurrence Download

description: A dataset containing 4272661 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4272661 records from 1075 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002072-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6gez3
title: Occurrence Download

description: A dataset containing 13124 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Literature Occurrence"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Leonurus cardiaca L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13124 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002072-180920211646547/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lnns0a
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhadinaea montecristi Mertens, 1952"
 ]
}

 The dataset includes 48 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002072-180925134338326/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upvne5
title: Occurrence Download

description: A dataset containing 34024 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron ponticum L."
 ]
}

 The dataset includes 34024 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002072-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prq73h
title: Occurrence Download

description: A dataset containing 2282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "Year 1960-2018",
 "HasCoordinate is true",
 "TaxonKey is Anthocharis cardamines (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2282 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002072-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmfs8e
title: Occurrence Download

description: A dataset containing 1009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Telopea oreades F.Muell.",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1009 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047094-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iae1df
title: Occurrence Download

description: A dataset containing 13527 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CWS: Waterbird colony database (Atlantic region)"
 ]
}

 The dataset includes 13527 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002072-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhgpzy
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "Geometry POLYGON((-458.40454 16.44596,-457.76733 16.19292,-457.37183 16.04515,-457.37183 16.04515,-457.10815 15.707,-456.11938 15.68585,-454.75708 16.2773,-454.77905 16.71973,-455.15259 17.09814,-455.87769 17.28705,-456.95435 17.20311,-457.76733 16.9931,-458.24836 17.05484,-458.40454 16.44596))",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "TaxonKey is Procyon lotor (Linnaeus, 1758)",
 "TaxonKey is Spilogale pygmaea Thomas, 1898"
 ]
 }
 ]
}

 The dataset includes 26 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084983-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udlaav
title: Occurrence Download

description: A dataset containing 2269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Formicarius analis (Orbigny & Lafresnaye, 1837)"
 ]
}

 The dataset includes 2269 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007870-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.102lgv
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gorilla beringei beringei"
 ]
}

 The dataset includes 148 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016166-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.amvgun
title: Occurrence Download

description: A dataset containing 528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus durangensis Martínez",
 "HasCoordinate is true"
 ]
}

 The dataset includes 528 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002606-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jm3i7y
title: Occurrence Download

description: A dataset containing 491380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year 1970-2000",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 491380 records from 364 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020993-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgulxe
title: Occurrence Download

description: A dataset containing 18274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Fulica americana Gmelin, 1789"
 ]
}

 The dataset includes 18274 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002791-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-28339
title: LAPD interview notes on witnesses, 1991 May 6 - June 3

description: Handwritten notes summarizing interviews of several witnesses conducted by the Christopher Commission's legal counsel. Most interviews pertain to complaints of police brutality, 1991 May 6 - June 3. PART OF A SERIES: The series pertains to the work of Munger, Tolles & Olson, the firm responsible for coordinating the activities and proceedings of the Independent Commission's legal counsel. Included are legal briefs, court transcripts, and memoranda; press releases and article clippings about the Rodney King incident and the subsequent creation of the Independent Commission; summaries of witness interviews; analyses of legislation regarding the role and purview of peace officers; work plans and outlines developed by Commission staff; draft copies developed for all sections of the Commission report; supplemental materials for the report, including a copy of the Rodney King arrest log, law enforcement literature, and public opinion surveys; materials distributed and reviewed during Commission meetings; letters of interest submitted to Chairman Christopher from prospective Commission members and organizations; and lists of bills and Commission expenditures.