cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29974126
title: Data and R Script "Beta div Arctiinae Ecuador"

description: Data and R Script "Heterogenization response of Arctiinae assemblages (Lepidoptera: Erebidae) to a recovering tropical forest ecosystem" for peer review
DOI: 10.6084/m9.figshare.29974126.v3
title: Data and R Script "Beta div Arctiinae Ecuador"

description: Data and R Script "Heterogenization response of Arctiinae assemblages (Lepidoptera: Erebidae) to a recovering tropical forest ecosystem" for peer review
DOI: 10.15468/dl.8m6etg
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-88.3295676999999984 41.7622448999999989, -88.3295676999999984 41.7631160899999969, -88.3295676999999984 41.7638955700000025, -88.3295676999999984 41.7649960199999981, -88.3295676999999984 41.7662340199999988, -88.3295676999999984 41.7673344600000007, -88.3295676999999984 41.7680680899999999, -88.3295676999999984 41.7687558699999997, -88.3295676999999984 41.7694436499999995, -88.3295676999999984 41.7701772799999986, -88.3295676999999984 41.7710943200000031, -88.3295676999999984 41.7721030599999992, -88.3295676999999984 41.7731118100000032, -88.3295676999999984 41.7741663999999986, -88.3286522199999951 41.7741663999999986, -88.3274621000000053 41.7741663999999986, -88.3264550699999944 41.7741663999999986, -88.3249902999999961 41.7741663999999986, -88.3249902999999961 41.7734327699999994, -88.3249902999999961 41.7728366899999983, -88.3249902999999961 41.7721947699999987, -88.3249902999999961 41.7715528399999982, -88.3249902999999961 41.7706816500000002, -88.3249902999999961 41.7700397300000006, -88.3249902999999961 41.7692602400000013, -88.3249902999999961 41.7681597999999994, -88.3249902999999961 41.7674261700000002, -88.3249902999999961 41.7666925400000011, -88.3249902999999961 41.7661423099999993, -88.3249902999999961 41.7652711300000021, -88.3249902999999961 41.7646292000000017, -88.3249902999999961 41.7639872700000012, -88.3249902999999961 41.7632077900000027, -88.3249902999999961 41.7622448999999989, -88.3260888800000004 41.7622448999999989, -88.3273247700000042 41.7622448999999989, -88.3284233499999942 41.7622448999999989, -88.3295676999999984 41.7622448999999989))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086137-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfure2
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus lenticellata Barnett"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010619-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwdmz3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aparatrigona Moure, 1951, Camargoia Moure, 1989, Celetrigona Moure, 1950, Cephalotrigona Schwarz, 1940, Dolichotrigona Moure, 1950, Duckeola Moure, 1944, Friesella Moure, 1946, Frieseomelitta Ihering, 1912, Geotrigona Moure, 1943, Lestrimelitta Friese, 1903, Leurotrigona Moure, 1950, Melipona Illiger, 1806, Meliwillea Roubik, Lobo Segura & Camargo, 1997, Mourella Schwarz, 1946, Nannotrigona Cockerell, 1922, Nogueirapis Moure, 1953, Oxytrigona Cockerell, 1917, Parapartamona Schwarz, 1948, Paratrigona Schwarz, 1938, Paratrigonoides Camargo & Roubik, 2005, Partamona Schwarz, 1939, Plebeia Schwarz, 1938, Proplebeia Michener, 1982, Ptilotrigona Moure, 1951, Scaptotrigona Moure, 1942, Scaura Schwarz, 1938, Schwarziana Moure, 1943, Schwarzula Moure, 1946, Tetragona Lepeletier & Audinet-Serville, 1828, Tetragonisca Moure, 1946, Trichotrigona Camargo & Moure, 1983, Trigonisca Moure, 1950, Plectoplebeia Melo, 2016, Trigona Jurine, 1807)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is South America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010445-240216155721649/datasets/export for details.
DOI: 10.15468/dl.ee8npq
title: Occurrence Download

description: A dataset containing 64135886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 64135886 records from 2491 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021196-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvd23c
title: Occurrence Download

description: A dataset containing 435152 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mortierellomycetes"
 ]
}

 The dataset includes 435152 records from 219 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011747-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmnn8b
title: Occurrence Download

description: A dataset containing 1327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Chile, Argentina)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Nothofagus dombeyi (Mirb.) Oerst."
 ]
}

 The dataset includes 1327 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011756-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.anyxhn
title: Occurrence Download

description: A dataset containing 582274 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Planctomycetia"
 ]
}

 The dataset includes 582274 records from 765 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011748-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7sw2qn
title: Occurrence Download

description: A dataset containing 575 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cicindelidia punctulata (Olivier, 1790)"
 ]
}

 The dataset includes 575 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018471-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.844m4p
title: Occurrence Download

description: A dataset containing 11987804 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Dutch Vegetation Database"
 ]
}

 The dataset includes 11987804 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018469-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11704959
title: Bitcoin BTC, 7 Exchanges, 1m Full Historical Data
DOI: 10.6084/m9.figshare.28903136
title: Modified laser scanned point cloud dataset of a modern wind turbine support tower

description: Tower summaryA steel offshore wind turbine support tower (WTST) was laser scanned to develop a geometric digital twinning protocol of metal shells of revolution with applications in fabrication quality assessment and structural analysis with the real shell geometry. The WTST in question was fabricated by circumferentially welding cylindrical/ conical cans together to create sections which were then bolted together at the flanges to form the WTST. The WTST was fully assembled minus the attachment of the nacelle ready for shipping and was standing in an upright position next to other WTSTs.Scanning methodologyThe painted outer surface of the WTST was laser scanned from ground level from multiple positions around the WTST using a Leica ScanStation P40 with the maximum available scanning resolution. Scanning positions were governed by the arrangement of WTSTs on site and other site restrictions. The WTST was scanned on a clear day with low expected wind speeds (&lt; 10 km/h) for reduced tower motion. Physical control points were used to aid point cloud registration.Data processingThe scanning contractor performed initial point cloud registration first using physical control points, then with manually created control points in overlapping regions in software and finally with cloud-to-cloud registration in an attempt to achieve the best possible registration. Multiple attempts at registration were required as viewing the registered point cloud in cylindrical coordinates revealed significant misalignments. Only scans from positions close to the WTST were considered. Additionally any features which did not correspond to the WTST shell wall such as staircases were manually removed by the scanning contractor.Release data descriptionThe released dataset includes a total of 6 .pts files corresponding to point clouds from 6 scanning locations. Each file contains a single point cloud from a single scan position after the registration transformation from the scanning contractor has been applied. The columns in the .pts files correspond to the Cartesian <i>x</i>, <i>y</i> and <i>z</i> coordinates. The point cloud dataset has been augmented such that it no longer reflects any real tower and thus users should not attempt to draw conclusions about the WTST itself. The dataset is provided only for the purposes of algorithm testing and development.The geometric digital twinning protocol developed by the authors to be used in conjunction with this dataset can be found at https://github.com/KathirkamanathanL/AxisymmetricShellGDTProtocolPublic
DOI: 10.60594/w4988b
title: Clip Plot and Macroplot Photographs Collected at the 2022 Department of Defense Wildland Fire Science Initiative Fort Stewart-Hunter Army Airfield Campaign

description: To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, photographs of the clip plots and macroplots were taken. This dataset provides the photographs collected before (February 2022) and after (March 2022) the prescribed burns.This dataset is part of the Wildland Fire Science Initiative (WFSI) research burn campaign held at Fort Stewart from March 2, 2022 to March 5, 2022. In addition, pre- and post-fire data collection occurred before and after these dates. See the most recent version of the contextual dataset "Fort Stewart 2022: Contextual data for Wildland Fire Science Initiative (WFSI) Research Burn Campaign" for more information about the campaign (see Annotations section for hasMetadata link).
DOI: 10.15468/dl.9dfab7
title: Occurrence Download

description: A dataset containing 36144 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psilocybe (Fr.) P.Kumm."
 ]
}

 The dataset includes 36144 records from 469 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018474-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rvnn2f
title: Occurrence Download

description: A dataset listing the 69 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA.25.231_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 1957-2025"
 ]
}

 The dataset's 69 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018472-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15315147
title: Data from "Physical activity stimulates clock neurons of the day-active rodent Arvicanthis ansorgei"

description: This dataset contains multi-unit activity (MUA) recordings of the Arvicanthis SCN. These data have been used on the publication "Physical activity stimulates clock neurons of the day-active rodent Arvicanthis ansorgei" (DOI: 10.1073/pnas.2424545122). Data are supported by two metadata.
DOI: 10.5281/zenodo.15315148
title: Data from "Physical activity stimulates clock neurons of the day-active rodent Arvicanthis ansorgei"

description: This dataset contains multi-unit activity (MUA) recordings of the Arvicanthis SCN. These data have been used on the publication "Physical activity stimulates clock neurons of the day-active rodent Arvicanthis ansorgei" (DOI: 10.1073/pnas.2424545122). Data are supported by two metadata.
DOI: 10.5281/zenodo.14165763
title: Joint space calibration data for dVRK Si

description: # Data for dVRK Si tool calibration

Four joints (Joint 3, 4, 5 and 6) are calibrated. All data is .csv files. Each joint has 15 groups of data used for training and validating during training, stored in the folder "Si_Joint?". 

 





Testing set is stored in the folder "Test_dataset", with Joint index in their file names.



 

For both training dataset and testing set, each file has two columns. The first one is the commands given to the robot, which is the output of the network. The second one is the real joint angle measured corrosponding to the commands, which is the input of the network.

 

All data is this data set is collected with the same permanent cautery spatula.

 

Note: This is the raw dataset. Data cleanning is probably needed based on the usage.
DOI: 10.15139/s3/neyk2z
title: Intergroup Status and Gratitude, 2020

description: Across two studies, 801 participants from the United States were recruited from Amazon Mechanical Turk (MTurk) to participate in an online study investigating expectations about gratitude expressions as a function of thankers' and helpers' races and observers' social dominance orientation (SDO). 775 of those participants remained after excluding 25 participants who failed an English test and 1 participant who failed both attention checks, with 393 participants from Study 1a (Mage = 36.76; 49.6% women) and 382 participants from Study 1b (Mage = 35.89; 51.6% women). The majority of participants identified as European or White (Study 1a: 69%; Study 1b: 69.6%)
&lt;br&gt;&lt;br&gt;
Participants read one of three vignettes wherein one colleague did a professional favor for another: securing a meeting with a manager, voting for the colleague's pitch, or software help. Participants also saw profiles of these two colleagues side-by-side, randomly assigned to vary by gender (man or woman) and race (Black or White). Depending on the assigned gender, profiles randomly selected names from a pool of four male or four female names, and depending on the assigned gender and race, profiles randomly selected one of twelve photos from the subset of applicable profile photos (three for each intersectional category). Profiles also randomly selected work history and hobby descriptions, for each of which there were four options.
&lt;br&gt;&lt;br&gt;
Next, participants reported baseline perceptions of the relative status between the two colleagues (i.e., the thanker and the helper) and perceptions of the thanker's communion before reporting expected gratitude by choosing the response the thanker should convey from a list of seven gratitude statements, arranged in increasing intensity. Then, participants received the experimental manipulation: they saw the thanker’s response either two levels above (intense gratitude condition) or below (mild gratitude condition) their personal expectation. Participants who expected response 1 or 2 (or 6 or 7) saw an even more extreme response that had not appeared in the original list of gratitude statements. Finally, participants reported post-manipulation perceptions of relative status, thanker's communion, and thanker’s competitiveness, as well as the status-related emotions participants felt toward the thanker.
&lt;br&gt;&lt;br&gt;
The study was approved by the University of British Columbia’s Behavioural Research Ethics Board, H18-02354.
DOI: 10.15468/dl.3ce2ht
title: Occurrence Download

description: A dataset containing 137850 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Tachybaptus dominicus (Linnaeus, 1766)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 137850 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018468-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.842xbt
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 {
 "or" : [
 "Geometry POLYGON((-90.73542 34.80319,-82.6808 34.80319,-82.6808 36.15906,-90.73542 36.15906,-90.73542 34.80319))",
 "Geometry POLYGON((-87.72013 24.9905,-79.86893 24.9905,-79.86893 30.74156,-87.72013 30.74156,-87.72013 24.9905))"
 ]
 },
 "HasGeospatialIssue is false",
 "Month is one of (May, June, July, August)",
 "TaxonKey is Eptesicus fuscus (Palisot de Beauvois, 1796)",
 "Year 2014-2025"
 ]
}

 The dataset includes 42 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018476-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6rgd9j6scd.1
title: COVID-19 train & test dataset

description: COVID-19-related questions by the users of Naver Knowledge-iN : train & test dataset
DOI: 10.15468/dl.8f3fgu
title: Occurrence Download

description: A dataset containing 1954 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Escobaria tuberculosa (Engelm.) Britton & Rose"
 ]
}

 The dataset includes 1954 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018477-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjd2rd
title: Occurrence Download

description: A dataset containing 5483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "TaxonKey is one of (Arundinaria alabamensis Triplett & Ozaki, 2023, Arundinaria appalachiana Triplett, Weakley & L.G.Clark, Arundinaria gigantea (Walter) Muhl., Arundinaria tecta (Walter) Muhl.)"
 ]
}

 The dataset includes 5483 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018478-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrw48g
title: Occurrence Download

description: A dataset containing 2175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((53.83626 35.60065,55.62262 35.60065,55.62262 37.03815,53.83626 37.03815,53.83626 35.60065))",
 "HasCoordinate is true",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 2175 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018480-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15352391
title: Suplementary Table 1. AllergyCHIP allergen list
DOI: 10.5281/zenodo.15352392
title: Suplementary Table 1. AllergyCHIP allergen list
DOI: 10.15468/dl.jy7x5u
title: Occurrence Download

description: A dataset containing 1490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Prosopis glandulosa Torr."
 ]
}

 The dataset includes 1490 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018481-250426092105405/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.28941401
title: Genotypes and genetic mapping information for diverse mice implanted with MC38 tumors.

description: In this study we investigated variation in responsiveness to anti-PD-1 using a model where we implanted the MC38 colorectal cancer cell line in genetically diverse host mice. This dataset includes information for performing quantitative trait locus mapping in the three populations described in https://doi.org/10.1101/2024.07.11.603136.<br>
DOI: 10.15468/dl.udquj6
title: Occurrence Download

description: A dataset containing 1027835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clitellata",
 "Year is greater than or equal to 1990",
 "Continent is Europe"
 ]
}

 The dataset includes 1027835 records from 958 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018475-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16791360
title: Depth, Latitude, and Lifespan: Dataset and R Code for Allometric Scaling Analysis in Marine Fishes

description: This dataset contains compiled body size (total length, weight) and maximum longevity data for marine fish species, along with their associated depth and latitudinal distribution ranges, used in the study “Depth, Latitude, and Lifespan: Exploring Allometric Scaling of Body Size and Maximum Longevity in Marine Fishes.” Data were sourced from FishBase, OBIS, and supplementary literature between March and July 2025.

The dataset includes:





Raw data extracted from public databases and literature




Cleaned dataset for statistical analysis




R scripts for data processing, model fitting, and figure generation




Metadata describing species taxonomy, sampling coverage, and environmental parameters



All analyses were conducted in R (version 4.3), and the provided code reproduces all statistical results and figures in the manuscript. The dataset is shared to promote transparency and reproducibility, and may be reused for related studies on fish allometry, biogeography, and life history strategies.