cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tgs44q
title: Occurrence Download

description: A dataset containing 374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parablennius tentacularis (Brünnich, 1768)"
 ]
}

 The dataset includes 374 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018969-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xnb9av
title: Occurrence Download

description: A dataset containing 391 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhynchospora spruceana C.B.Clarke"
 ]
}

 The dataset includes 391 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103834-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5fphjr
title: Occurrence Download

description: A dataset containing 417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((83.97949 26.7627,94.96582 23.15918,97.9541 22.89551,96.89941 19.73145,96.1084 18.14941,95.93262 11.82129,98.48145 6.02051,105.68848 4.2627,112.54395 13.22754,114.47754 19.90723,118.34473 23.51074,116.93848 26.32324,110.69824 28.25684,101.99707 30.19043,95.1416 31.68457,90.30762 31.50879,83.97949 26.7627))",
 "TaxonKey is Lithocarpus fenestratus (Roxb.) Rehder"
 ]
}

 The dataset includes 417 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189566-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ky47rf
title: Occurrence Download

description: A dataset containing 26777 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calosoma Weber, 1801"
 ]
}

 The dataset includes 26777 records from 394 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172990-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4hy8p
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Incilius cristatus (Wiegmann, 1833)",
 "Year 1960-2022"
 ]
}

 The dataset includes 50 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0341070-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhp7s6
title: Occurrence Download

description: A dataset containing 2014 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Podranea ricasoliana (Tanfani) Sprague"
 ]
}

 The dataset includes 2014 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014388-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4ue7t
title: Occurrence Download

description: A dataset containing 361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Inocybe fibrosa (Sowerby) Gillet)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 361 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0164876-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kykez6
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Desmana moschata (Linnaeus, 1758)"
 ]
}

 The dataset includes 124 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0344524-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8sfha
title: Occurrence Download

description: A dataset containing 79769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Sagittaria sagittifolia L."
 ]
}

 The dataset includes 79769 records from 525 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014385-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g16ln0
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grevillea brachystachya Meisn.",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045109-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gs8sa4
title: Occurrence Download

description: A dataset containing 12066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Salix babylonica L."
 ]
}

 The dataset includes 12066 records from 648 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014405-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbh4mr
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Desmomys harringtoni (Thomas, 1902)"
 ]
}

 The dataset includes 201 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0344530-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b7q59e
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eleiodoxa (Becc.) Burret"
 ]
}

 The dataset includes 57 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0201016-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jaum6
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chamaesyce porteriana Small"
 ]
}

 The dataset includes 84 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016948-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zm66w
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elaphurus davidianus Milne-Edwards, 1866"
 ]
}

 The dataset includes 366 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0344532-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqp5br
title: Occurrence Download

description: A dataset containing 438118 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alliaria petiolata (M.Bieb.) Cavara & Grande"
 ]
}

 The dataset includes 438118 records from 1063 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0344537-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5n4cbr
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Dubai Turtle Rehabilitation Project (aggregated per 1-degree cell)"
 ]
}

 The dataset includes 130 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072761-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14673236
title: Lunar Rocks and Craters Dataset for Instance Segmentation (YOLO and COCO Format)

description: Description

This dataset is designed for the instance segmentation of lunar surface features, specifically rocks and craters, using the YOLO (You Only Look Once) and COCO annotation formats. It provides high-quality annotations tailored for machine learning and computer vision tasks aimed at understanding and analyzing lunar terrains.

Classes: Two primary classes are labeled:



Rocks: Varying in size and shape, representing individual geological features.

Craters: Circular or elliptical depressions of various scales, crucial for lunar surface analysis.


Dataset Composition:



Training Set: 7,734 images 

Testing Set: 307 

Validation Set: 313 images


Image Resolution: All images are resized to 640x640 pixels, maintaining high fidelity while optimizing computational efficiency.

 

Note: All the data has been captured on the premises of German Research Center for Artificial Intelligence, Robotics Innovation Center
DOI: 10.5281/zenodo.14673237
title: Lunar Rocks and Craters Dataset for Instance Segmentation (YOLO and COCO Format)

description: Description

This dataset is designed for the instance segmentation of lunar surface features, specifically rocks and craters, using the YOLO (You Only Look Once) and COCO annotation formats. It provides high-quality annotations tailored for machine learning and computer vision tasks aimed at understanding and analyzing lunar terrains.

Classes: Two primary classes are labeled:



Rocks: Varying in size and shape, representing individual geological features.

Craters: Circular or elliptical depressions of various scales, crucial for lunar surface analysis.


Dataset Composition:



Training Set: 7,734 images 

Testing Set: 307 

Validation Set: 313 images


Image Resolution: All images are resized to 640x640 pixels, maintaining high fidelity while optimizing computational efficiency.

 

Note: All the data has been captured on the premises of German Research Center for Artificial Intelligence, Robotics Innovation Center
DOI: 10.5281/zenodo.13941447
title: The Data For Spatial Variations of Stellar Elemental Abundances in FIRE Simulations of Milky Way-Mass Galaxies: Patterns Today Mostly Reflect Those at Formation

description: Spatial patterns of stellar elemental abundances encode rich information about a galaxy’s formationhistory. We analyze the radial, vertical, and azimuthal variations of metals in stars, both today and atformation, in the FIRE-2 cosmological simulations of Milky Way-mass galaxies, and we comparewith the Milky Way. Overall, spatial variations of stellar metallicities show only modest differences between formation and today; spatial variations today primarily reflect the conditions of stars at birth, with spatial redistribution of stars after birth contributing secondarily. 

 

This data abides by CC-BY.
DOI: 10.5281/zenodo.13941448
title: The Data For Spatial Variations of Stellar Elemental Abundances in FIRE Simulations of Milky Way-Mass Galaxies: Patterns Today Mostly Reflect Those at Formation

description: Spatial patterns of stellar elemental abundances encode rich information about a galaxy’s formationhistory. We analyze the radial, vertical, and azimuthal variations of metals in stars, both today and atformation, in the FIRE-2 cosmological simulations of Milky Way-mass galaxies, and we comparewith the Milky Way. Overall, spatial variations of stellar metallicities show only modest differences between formation and today; spatial variations today primarily reflect the conditions of stars at birth, with spatial redistribution of stars after birth contributing secondarily. 

 

This data abides by CC-BY.
DOI: 10.13021/orc2020/katd82/fmkbma
title: LR-NH-description.txt

description: Data file description and analysis instructions.
DOI: 10.13021/orc2020/katd82
title: Predictors of 6-Month Mortality Among Nursing Home Residents: Diagnoses May Be More Predictive than Functional Disability

description: None
DOI: 10.13021/orc2020/katd82/q05e9r
title: LR-NH.tab
DOI: 10.13021/orc2020/nnmtbm/zjnx1c
title: ACL-Needs-Survey_11106202.pdf

description: Survey instrument
DOI: 10.13021/orc2020/nnmtbm/acq6j8
title: ACL-Needs.tab

description: CSV data file
DOI: 10.13021/orc2020/nnmtbm/zefifs
title: ACL-Needs-other.tab

description: CSV Data File (responses to "other" option in survey questions)
DOI: 10.13021/orc2020/nnmtbm/c7le3m
title: ACL-Needs-open-ended.tab

description: CSV Data File (responses to open-ended questions in survey)
DOI: 10.13021/orc2020/nnmtbm/0acvbe
title: ACL-Needs-codebook.pdf

description: Codebook / readme file with variable name descriptions.
DOI: 10.13021/orc2020/nnmtbm
title: George Mason University Arlington Campus Library Instruction Survey

description: Data and survey instrument from an assessment of library instruction needs among graduate students in the social sciences at George Mason University's Arlington Campus.
DOI: 10.13021/orc2020/nnmtbm/deenwx
title: ACL-Needs-SPSS.tab

description: SPSS data file
DOI: 10.13021/orc2020/xmktre/4svjpi
title: dataExp2.tab

description: CSV data file 2
DOI: 10.13021/orc2020/xmktre/ags7ep
title: readme-mech-turk-data.txt

description: Read me file with variable name descriptions.
DOI: 10.13021/orc2020/xmktre/f5caj3
title: dataExp1.tab

description: CSV data file 1
DOI: 10.13021/orc2020/xmktre
title: Collecting Response Time Data Using Amazon Mechanical Turk

description: Researchers in linguistics and related fields have recently begun exploiting online crowd-sourcing tools, like Amazon Mechanical Turk (AMT), to gather behavioral data. While this method has been successfully used for various offline measures—grammaticality judgment or other forced-choice tasks—its validity for mainstream psycholinguistic research remains in question. This is because psycholinguistic effects are often dependent on relatively small differences in response times, and there is substantial doubt as to whether precise timing measurements can be gathered over the web. Here we show that three classic psycholinguistic effects can in fact be replicated using AMT in combination with open-source software for gathering response times client-side. Specially, we find reliable effects of subject definiteness, filler-gap dependency processing, and agreement attraction in self-paced reading tasks using approximately the same numbers of participants and/or trials as similar laboratory studies. Our results suggest that psycholinguists can and should be taking advantage of AMT and similar online crowd-sourcing marketplaces as a fast, low-resource alternative to traditional laboratory research.
DOI: 10.13021/orc2020/xmktre/ykosu5
title: dataExp3.tab

description: CSV data file 3
DOI: 10.13021/orc2020/lyetxq/z4dbzn
title: 002_Yayoi-Postcranial-Metrics.tab

description: Yayoi postcranial metrics.
DOI: 10.13021/orc2020/lyetxq/vvqidb
title: 004_Jomon-Subadult-Humeral-CSG-2011.tab

description: Jomon subadult humeral cross-sectional geometric properties (CSG).
DOI: 10.13021/orc2020/lyetxq/14qghs
title: 005_NSF-LEH-2009.tab

description: Jomon linear enamel hypoplasia.
DOI: 10.13021/orc2020/lyetxq/eahwzg
title: 003_Jomon-Subadult-Femoral-CSG-2011.tab

description: Jomon subadult femoral cross-sectional geometric properties (CSG).
DOI: 10.13021/orc2020/lyetxq/svmi9u
title: 001_Jomon-Postcranial-Metrics.tab

description: Jomon postcranial metrics.
DOI: 10.13021/orc2020/lyetxq/gejqxw
title: File-Legend.docx

description: Legend and descriptive information for data files. Word document.
DOI: 10.13021/orc2020/lyetxq
title: Temple Data: Jomon and Yayoi

description: These data include long bone measurements for adults, cross-sectional geometric properties of long bones for subadults, and data regarding linear enamel hypoplasia formation for a series of individuals that was collected using a measuring microscope. The data are associated with skeletal samples from the Jomon and Yayoi cultural phases of Japanese prehistory.
DOI: 10.13021/orc2020/lyetxq/zvcqgz
title: File-Legend.txt

description: Legend and descriptive information for data files. Text file.
DOI: 10.13021/orc2020/uufxqz/xairi2
title: 201602-Breastfeeding-Rural-Kenya-Methodology.pdf

description: Methodology
DOI: 10.13021/orc2020/uufxqz
title: Replication Data for: Determinants of Exclusive Breastfeeding in Rural Kenya, 2013

description: Data from a cross-sectional survey conducted among 400 mothers of children, 0-24 months old, in rural Kenya. Data includes information on early child-feeding practices, knowledge of breastfeeding recommendations, beliefs associated with exclusive breastfeeding, socio-economic status and demographic characteristics.
description: Version Date: 2016-02-13 Version Text: 1
DOI: 10.13021/orc2020/uufxqz/ryhrj1
title: 201602-Breastfeeding-Rural-Kenya-Data-Dictionary.tab

description: Data dictionary
DOI: 10.13021/orc2020/uufxqz/wveyni
title: 201602-Breastfeeding-Rural-Kenya.tab

description: Data file
DOI: 10.17632/jbx98yscmd.2
title: System for Rapid Analysis of Ionospheric Dynamics based on GNSS TEC Signals

description: System for Rapid Analysis of Ionospheric Dynamics based on GNSS TEC Signals (S-RAID) performs downloading, parsing, and processing of Global Navigation Satellite System (GNSS) signal measurements and their geometry of observations, calculation of slant and vertical total electron contents (sTEC and vTEC) and subsequent visualization for selected band-passes of fluctuations with periods shorter than two hours. In a routine operation, the System processes 15/30 sec GNSS signal measurements over Continental United States (CONUS) from ~2700 stations. Raw GNSS signal measurements are collected from public archives, including The Crustal Dynamics Data Information System (CDDIS), EarthScope/UNAVCO, National Oceanic and Atmospheric Administration (NOAA), and Scripps Institution of Oceanography's Orbit and Permanent Array Center (SOPAC). The System is oriented towards rapid access to GNSS sTEC/vTEC data for the investigation of traveling ionospheric disturbances (TIDs) of various nature, from large scale TIDs to irregularities of ~10s of km and minutes of periods, in particular those driven by atmospheric acoustic and gravity wave dynamics. The details of data processing methodology are provided the section Steps to Reproduce below, and in (2) and Supporting Information to it.

Currently, this archive provides an access to high-resolution visualization of processed vTEC mapped over CONUS for years 01/2017-12/2024.

The structure of the archive:
/YYYY/MM/DD/animation.mp4, where YYYY - year, MM - month, DD - day of month, animation.mp4 - temporally evolving visualization of processed vTEC (see Steps to Reproduce for the details of data processing methodology).

To reference the archive or the methodology for data processing, we suggest to:
(1) Cite this archive by its DOI: 10.17632/jbx98yscmd.1, and/or
(2) Cite Inchin, P. A., et al. (2023). Multi-layer evolution of acoustic-gravity waves and ionospheric disturbances over the United States after the 2022 Hunga Tonga volcano eruption. AGU Advances, 4. https://doi.org/10.1029/2023AV000870.

Being processed in an automated regime, the visualizations may contain errors and bugs and thus should be used with caution as is. If you encounter any issues or wish to obtain data for animation replication, contact Inchin P.A. pinchin@cpi.com, J.B. Snively snivelyj@erau.edu or M.D. Zettergren zettergm@erau.edu.

Research is supported by DARPA Cooperative Agreement HR00112120003. This work is approved for public release; distribution is unlimited. The content of the information does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.
DOI: 10.13021/orc2020/9xnoqe/bteaze
title: 20160115_Questionnaire_Results_compiled.pdf

description: Compiled questionnaire results
DOI: 10.13021/orc2020/9xnoqe/ujh1vu
title: 20160115_Microblogging_community_college_history_classroom.tab
DOI: 10.13021/orc2020/9xnoqe/nwv31n
title: 20160115_Twitter_Questionnaires.pdf

description: Twitter questionnaires
DOI: 10.13021/orc2020/9xnoqe/0nceqj
title: 20160115_Pre-Course_Survey_Instrument.pdf

description: Pre-course survey
DOI: 10.13021/orc2020/9xnoqe
title: Microblogging in the community college history classroom, 2015

description: This data was from a mixed methods study that explored whether using a microblog in a community college  history classroom would help students learn the subject matter. This file contains the quantitative data set that  was used to perform several hierarchical regression analyses and the raw and compiled results of the qualitative  component of the study. The study was performed from January 2015-May 2015.
DOI: 10.13021/orc2020/9xnoqe/nvqsi1
title: 20160115_Microblogging_community_college_history_classroom-1.tab

description: SPSS file
DOI: 10.13021/orc2020/9xnoqe/1zjono
title: 20160115_Variable_Definitions_Microblogging_community_college_history_classroom.pdf

description: Variable definitions
DOI: 10.13021/orc2020/jmile7/tpz12r
title: Substance-Abuse-LR-Inpat-Both.tab

description: Select Download Original File Format to retrieve original Excel file with all 8 sheets. The TAB version contains only the first sheet.
DOI: 10.13021/orc2020/jmile7/26c7qi
title: Data-description.docx

description: This file describes the data.
DOI: 10.13021/orc2020/jmile7
title: Likelihood ratios for the paper "EHR-based Screening for Substance and Prescription Abuse"

description: Data on likelihood ratios associated with diagnoses.
DOI: 10.13021/orc2020/jmile7/jsgn6h
title: Data-description.pdf

description: This file describes the data.
DOI: 10.13021/orc2020/cv1lxl/dmkwyj
title: ComplexSyllableData.tab
DOI: 10.13021/orc2020/cv1lxl
title: Replication Data for: WCSP complex trill performance and trill data

description: Both files contain recent and historical information about the song structure of white-crowned sparrows in urban San Francisco and nearby rural Marin county California.
DOI: 10.13021/orc2020/cv1lxl/tlpimp
title: ZComplexTrillPerformance.tab