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

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mnesithea laevis (Retz.) Kunth)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 117 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010571-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive158731.20240916.9.1
title: Bacillus lacus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158732.20240916.9.1
title: Hymenobacter profundi

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158735.20241212.9.2
title: Stenotrophomonas lactitubi Weber et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.15173780
title: Table 2 in An update on the phylogeny and biogeographical history of Rhipicephalus sanguineus complex

description: Table 2. Codes of unique haplotypes generated using mt 16S rDNA, number of individuals sharing the same base content and molecular identification results. (Previously obtained sequences from studies conducted in Türkiye are added to the list as samples sharing the same base content with the haplotypes obtained from this project. Red color indicates sequences from Hekimoglu et al., 2021, and blue color indicates sequences produced by Hekimoglu et al., 2016.)
Haplotype noSample codeMolecular identificationSamples sharing same base content1ERZ21-3R. rossicusTUN21-24, ERZ21-2, TUN20-2, MZ463290, TUN21-20, TUN21-212ORD71R. turanicusORD18-75, ORD31, KU6643643AMA15_73R. turanicus _AsiaMZ4632914CYP9R. sanguineus_ MECYP5, ANT_Dog1, TEK18_26(2), CYP7, KU6643655AYD15-6R. sanguineus_ MEAYD15-56GAP53_1R. turanicusMZ463284, MZ4632877HTY1R. turanicusMZ4632858KON18-32R. turanicusHTY2, TUN13-2, AY14-3, TOK17-12, MZ4632939IST15-R2R. turanicusTOK17-18, VAN19-6, COR15-11, YOZ20-29, KON17-1, GUM21-6, MZ46329510TOK17-15R. turanicusKU66436011TUN13-1R. turanicus12EDR18-15(1)R. turanicusEDR18-15(2), KU66435713IST15-R1R. turanicus14COR15-12R. turanicus15ANT15-1R. turanicus16GAP53-2R. turanicusMER15-34(2)17GAP48_2R. turanicus _AsiaMZ463292
description: Published as part of Hekimoğlu, Olcay, 2024, An update on the phylogeny and biogeographical history of Rhipicephalus sanguineus complex, pp. 25 in Turkish Journal of Zoology 48 on page 25, DOI: 10.55730/1300-0179.3157, http://zenodo.org/record/11043164
DOI: 10.5281/zenodo.15173782
title: Table 3 in An update on the phylogeny and biogeographical history of Rhipicephalus sanguineus complex

description: Table 3. Codes of unique haplotypes generated using mt 12S rDNA, number of individuals sharing the same base content and molecular identification results.
NoSample codeMolecular identificationSamples sharing the same base content1ANT-Dog1R.sanguineus_ ME2IST15-116R.sanguineus_ ME3HTY1R.turanicusBUR18-2(2), IST15-R1, HTY1, MER15-34(2), AY14-3, GAP52, VAN19-3, GAP58, ERZ19-14IST15-R2R.turanicus5ANT15-1R.turanicus6SIV14-9R.turanicus7GAP53-2R.turanicus8GAP53-1R.turanicus9AY14-1R.turanicus10GAP33R.turanicus11GAP48R.turanicus _ Asia12AMA15-72R.turanicus _ Asia13TUN19-7R. rossicusTUN19-1814GAP59R.turanicus15R.rossicus_ ROMR. rossicus16GAP27R.bursa
description: Published as part of Hekimoğlu, Olcay, 2024, An update on the phylogeny and biogeographical history of Rhipicephalus sanguineus complex, pp. 26 in Turkish Journal of Zoology 48 on page 26, DOI: 10.55730/1300-0179.3157, http://zenodo.org/record/11043164
DOI: 10.5281/zenodo.15173784
title: Table 4 in An update on the phylogeny and biogeographical history of Rhipicephalus sanguineus complex

description: Table 4. Codes of unique haplotypes generated using ITS2, number of individuals sharing the same base content and molecular identification results.
NoSample codeSamples sharing the same base content1AMA15-73GAP53-1a, BAL17-1, GUM21-6, GAP48-2a, M1852CYP-9aMER15-34(2)a, HTY1a, GAP53-2a, CYP7a, ORD31a, AYD15-5a, IST15-R1a, AYD15-6a3CYP-9bMER15-34(2)b, HTY1b, GAP53-2b, ORD31b, AYD15-5b, ANTDog1b, VAN19-6b, IST15- R1b, MER15-33b, IST15-R2b, ANK22-1b, TUN13-1b, AYD15-6b4GAP53-1bGAP48-2b5CYP-7b6TUN20-27ANT-Dog1aVAN19-6a, MER15-33a, IST15-R2a, ANK22-1a, TUN13-1a
description: Published as part of Hekimoğlu, Olcay, 2024, An update on the phylogeny and biogeographical history of Rhipicephalus sanguineus complex, pp. 27 in Turkish Journal of Zoology 48 on page 27, DOI: 10.55730/1300-0179.3157, http://zenodo.org/record/11043164
DOI: 10.13145/bacdive158736.20240916.9.1
title: Flavobacterium aurantiibacter

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.3886/e149182
title: Data and Code for: Does Context Outweigh Individual Characteristics in Driving Voting Behavior? Evidence from Relocations within the U.S.

description: This replication package contains the code to clean the raw data (“cleaning code”) and to create all tables and figures included in the paper and in the online appendix (“analysis code”). The replication package also contains publicly available raw data. Due to license restrictions on the Catalist data, which are used for all analyses, the Catalist data are not included in this replication package.<br><br>Researchers interested in replicating the results can do so on an ad-hoc reproducibility environment hosted by Catalist, which will be operational by January 1, 2022. Access to the reproducibility environment can be used exclusively to reproduce the results in the paper and in the online appendix and not to otherwise explore, browse, manipulate, analyze the raw or clean data in any way other than by running the scripts in this replication package. Per-user access to the Catalist reproducibility environment costs $1,500.<br><br>Researchers interested in replicating the results using the Catalist reproducibility environment should contact Vincent Pons (vpons@hbs.edu).<br>
DOI: 10.3886/e149182v1-159766
title: Data and Code for: Does Context Outweigh Individual Characteristics in Driving Voting Behavior? Evidence from Relocations within the U.S.

description: This replication package contains the code to clean the
raw data (“cleaning code”) and to create all tables and figures included in the
paper and in the online appendix (“analysis code”). The replication package
also contains publicly available raw data. Due to license restrictions on the Catalist
data, which are used for all analyses, the Catalist data are not included in this
replication package.<br><br>Researchers interested in replicating the results can do
so on an ad-hoc reproducibility environment hosted by Catalist, which will be
operational by January 1, 2022. Access to the reproducibility environment can
be used exclusively to reproduce the results in the paper and in the online
appendix and not to otherwise explore, browse, manipulate, analyze the raw or
clean data in any way other than by running the scripts in this replication
package. Per-user access to the Catalist reproducibility environment costs $1,500.<br><br>Researchers interested in replicating the
results using the Catalist reproducibility environment should contact Vincent
Pons (vpons@hbs.edu).<br>
DOI: 10.15468/dl.u8d2cz
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ameiurus nebulosus (Lesueur, 1819)",
 "Country is France",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 14 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000805-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7bzmr
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rodolia cardinalis (Mulsant, 1850)"
 ]
}

 The dataset includes 94 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000804-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14186774
title: Database of Subjective Driver Ratings for Brazilian Freeway Scenarios

description: Dataset Description

This dataset contains 10,387 subjective ratings of freeway driving experiences collected by means of a web survey completed (or partially completed) by 1,614 Brazilian drivers. Each participant watched up to 12 one-minute video clips, each depicting a freeway driving scenario from the driver viewpoint. A total of 418 video clips depicted 128 scenarios that were systematically varied across five key factors: number of lanes in the trip direction, speed limit, road grade, truck percentage, and traffic density, according to a fractional factorial design.

Each rating, on a scale of 0 to 100, represents the perceived quality of the driving experience, with higher scores indicating a more positive perception (from "poor" to "excellent" on a continuous scale). Each line in the dataset represents a rating and includes the following variables:




Variable
Definition


IDuser
A unique identifier for each participant.


IDvideo
A identifier for each video clip watched by the participant.


Rating
The subjective rating of the driving experience, on a scale of 0 (poor) to 100 (excellent).


TimeToRateVideo
The time taken by the participant to rate the video clip, measured in seconds, from the moment the video clip is presented on the screen to the moment the participant proceeds to the next video clip.


Video_clip_scenario
A string encoding the specific conditions of the freeway scenario depicted in each video clip watched by the participant.




 

Scenario Encoding

The Video_clip_scenario variable uses a specific encoding scheme to represent the different driving conditions (scenarios). Each factor is represented by up to 3 letters and a numeric value. For example,  NL3_G4_SL120_PT10_k132_veh1 indicates the first replication of scenario with 3 lanes, 4% uphill grade, a 120 km/h speed limit, 10% trucks, and a traffic density of 13.2 veh/km/lane. The factors and their numeric values are explained in the following table:




Factor
Definition
Number of levels
Numeric values


NL:
Number of lanes in the driving direction
2
3 or 4


G:
Grade (%)
2
1 (nearly level grade) or 4 (steep uphill grade)


SL:
Posted speed limit (km/h)
4
90, 100, 110 or 120


PT:
Percentage of trucks in the traffic stream (%)
4
0, 10, 20 or 30


k:
Traffic density (in 0.1 veh/km/ln)
16
36, 48, 72, ..., 168, 180 or 192


veh:
Scenario replication identifier 
N.A.
integer > 0




 

These ratings were obtained using a web survey, approved by the Brazilian Human Research Ethics Committee (CEP-EACH-USP, protocol number: 2034830). The ratings.csv file contains the unfiltered ratings obtained on that web survey.

For additional information about the dataset, contact the project leader or the data curator.  If you find this dataset useful for your research, please let the authors know. We appreciate your feedback and would be interested to hear how you use the data.
DOI: 10.5281/zenodo.14186775
title: Database of Subjective Driver Ratings for Brazilian Freeway Scenarios

description: Dataset Description

This dataset contains 10,387 subjective ratings of freeway driving experiences collected by means of a web survey completed (or partially completed) by 1,614 Brazilian drivers. Each participant watched up to 12 one-minute video clips, each depicting a freeway driving scenario from the driver viewpoint. A total of 418 video clips depicted 128 scenarios that were systematically varied across five key factors: number of lanes in the trip direction, speed limit, road grade, truck percentage, and traffic density, according to a fractional factorial design.

Each rating, on a scale of 0 to 100, represents the perceived quality of the driving experience, with higher scores indicating a more positive perception (from "poor" to "excellent" on a continuous scale). Each line in the dataset represents a rating and includes the following variables:




Variable
Definition


IDuser
A unique identifier for each participant.


IDvideo
A identifier for each video clip watched by the participant.


Rating
The subjective rating of the driving experience, on a scale of 0 (poor) to 100 (excellent).


TimeToRateVideo
The time taken by the participant to rate the video clip, measured in seconds, from the moment the video clip is presented on the screen to the moment the participant proceeds to the next video clip.


Video_clip_scenario
A string encoding the specific conditions of the freeway scenario depicted in each video clip watched by the participant.




 

Scenario Encoding

The Video_clip_scenario variable uses a specific encoding scheme to represent the different driving conditions (scenarios). Each factor is represented by up to 3 letters and a numeric value. For example,  NL3_G4_SL120_PT10_k132_veh1 indicates the first replication of scenario with 3 lanes, 4% uphill grade, a 120 km/h speed limit, 10% trucks, and a traffic density of 13.2 veh/km/lane. The factors and their numeric values are explained in the following table:




Factor
Definition
Number of levels
Numeric values


NL:
Number of lanes in the driving direction
2
3 or 4


G:
Grade (%)
2
1 (nearly level grade) or 4 (steep uphill grade)


SL:
Posted speed limit (km/h)
4
90, 100, 110 or 120


PT:
Percentage of trucks in the traffic stream (%)
4
0, 10, 20 or 30


k:
Traffic density (in 0.1 veh/km/ln)
16
36, 48, 72, ..., 168, 180 or 192


veh:
Scenario replication identifier 
N.A.
integer > 0




 

These ratings were obtained using a web survey, approved by the Brazilian Human Research Ethics Committee (CEP-EACH-USP, protocol number: 2034830). The ratings.csv file contains the unfiltered ratings obtained on that web survey.

For additional information about the dataset, contact the project leader or the data curator.  If you find this dataset useful for your research, please let the authors know. We appreciate your feedback and would be interested to hear how you use the data.
DOI: 10.15468/dl.e264uz
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anolis carolinensis Voigt, 1832",
 "Country is Japan",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 125 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000806-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14031895
title: Spatial clustering of Neobuccinum eatoni occurrence data for potential distribution modeling

description: The occurrence dataset for Neobuccinum eatoni was compiled through filtration process, starting with records from the Global Biodiversity Information Facility (GBIF) and supplemented by museum specimens and additional sources like SOMBASE, iBOL, NIWA, ANTABIF, and SCAR-AntOBIS. Further data were sourced from the National Museum of Natural History in Paris, the University of Vigo, and recent fieldwork in Antarctica, Heard Island, and Kerguelen Island. Records were meticulously screened to remove misidentified specimens, inaccurate locations, duplicates, and outdated entries, ensuring accuracy and relevance. To address spatial autocorrelation, clustering methods divided the data into distinct geographic clusters, producing a refined dataset used to model N. eatoni's potential distribution with enhanced predictive reliability by reducing spatial autocorrelation effects.
DOI: 10.5281/zenodo.14031896
title: Spatial clustering of Neobuccinum eatoni occurrence data for potential distribution modeling

description: The occurrence dataset for Neobuccinum eatoni was compiled through filtration process, starting with records from the Global Biodiversity Information Facility (GBIF) and supplemented by museum specimens and additional sources like SOMBASE, iBOL, NIWA, ANTABIF, and SCAR-AntOBIS. Further data were sourced from the National Museum of Natural History in Paris, the University of Vigo, and recent fieldwork in Antarctica, Heard Island, and Kerguelen Island. Records were meticulously screened to remove misidentified specimens, inaccurate locations, duplicates, and outdated entries, ensuring accuracy and relevance. To address spatial autocorrelation, clustering methods divided the data into distinct geographic clusters, producing a refined dataset used to model N. eatoni's potential distribution with enhanced predictive reliability by reducing spatial autocorrelation effects.
DOI: 10.5281/zenodo.13870058
title: Splits and Checkpoints for Equivariant Flow Matching for Conformer Generation

description: Split files and checkpoints for our paper, "Equivariant Flow Matching for Conformer Generation". For more details on how to use this pre-processed data, refer to `https://github.com/shenoynikhil/ETFlow/`
DOI: 10.5281/zenodo.13871684
title: Splits and Checkpoints for Equivariant Flow Matching for Conformer Generation

description: Split files and checkpoints for our paper, "Equivariant Flow Matching for Conformer Generation". For more details on how to use this pre-processed data, refer to `https://github.com/shenoynikhil/ETFlow/`
DOI: 10.5281/zenodo.14226681
title: Splits and Checkpoints for Equivariant Flow Matching for Conformer Generation

description: Split files and checkpoints for our paper, "Equivariant Flow Matching for Conformer Generation". For more details on how to use this pre-processed data, refer to `https://github.com/shenoynikhil/ETFlow/`
DOI: 10.15468/dl.82fyr8
title: Occurrence Download

description: A dataset containing 64529 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus armeniacus Focke"
 ]
}

 The dataset includes 64529 records from 267 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000808-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63a3ze
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anolis carolinensis Voigt, 1832",
 "Country is Japan",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 125 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000810-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2eum4t
title: Occurrence Download

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ESP.2_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Year 2019-2024"
 ]
}

 The dataset includes 188 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000811-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttnuty
title: Occurrence Download

description: A dataset containing 33141984 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 33141984 records from 4479 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000745-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arbsmd
title: Occurrence Download

description: A dataset containing 10811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Priotelus G.R.Gray, 1840"
 ]
}

 The dataset includes 10811 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026932-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxuajq
title: Occurrence Download

description: A dataset containing 121134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rupicapra rupicapra (Linnaeus, 1758))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 121134 records from 259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059820-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.