cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9plu6nw
title: U-Pb Isotopic Data and Ages of Detrital Zircon from Selected Rocks from Southwestern Alaska and the Yukon-Tanana Upland and Environs of Eastern Interior Alaska and Eastern Yukon, Canada

description: This dataset contains U-Pb isotopic data and associated ages of detrital zircon from sedimentary and metasedimentary rocks collected from southwestern Alaska and from the Yukon-Tanana upland and environs of eastern interior Alaska and western Yukon, Canada. The samples were collected as part of geological mapping and research conducted from 1996 to 2021 and funded by the Mineral Resources Program of the U.S. Geological Survey. Detrital zircon grains were separated and analyzed by four different laboratories: U.S. Geological Survey laboratories in Denver, Colorado; Apatite to Zircon, Inc. (A2Z); GeoSep Services (GSS); and the University of British Columbia. All analyses were conducted between 2007 and 2021 using laser-ablation-inductively-coupled-plasma-mass spectrometry (LA-ICP-MS) techniques.
DOI: 10.5883/ds-calavris
title: Sara La Cava, Giada Zucco and Stefano Scalercio

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.ar8v9q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptella villiersi Hewitt, 1935",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031206-250525065834625/datasets/export for details.
DOI: 10.5883/ds-ynpbpr3
title: Hannah K. Hoff, Bethan L. Littleford-Colquhoun, Rebecca Y. Kartzinel; Heidi M. Anderson, Chris Geremia, Lauren M. McGarvey, Carlisle Segal, Tyler R. Kartzinel

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.j4xy6b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptella villiersi Hewitt, 1935",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031208-250525065834625/datasets/export for details.
DOI: 10.15468/dl.p4yv3u
title: Occurrence Download

description: A dataset containing 1946 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "GadmGid is one of (USA.24_1, USA.50_1, USA.16_1, USA.14_1, USA.26_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Rana sylvatica LeConte, 1825, Lithobates sylvaticus (LeConte, 1825))",
 "Year 1990-2025"
 ]
}

 The dataset includes 1946 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031207-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15625918
title: Designing and Developing a Sign Language Learning Application to Bridge the Communication Gap Between the Deaf and Hearing Community Using a Design Thinking Approach

description: Hearing loss impacts 4.6% of Indonesia's population, including 2.6 million individuals with impairments. Despite this, communication challenges remain due to a lack of widespread sign language understanding and limited access to learning resources. This paper introduces Berisyarat, a mobile application designed with a user-centered approach to support the learning of Indonesian sign language through structured content and gamified features. Developed using the design thinking framework, the process focused on empathy, defining problems, ideating solutions, prototyping, and thorough user testing to address specific needs. Key features of the app include interactive learning modules, a sign language translator, quizzes, and a community forum aimed at fostering engagement and collaboration. Usability testing with 10 participants showed significant improvements, with SEQ scores increasing from 4.4 to 5.31 (+20.7%) and SUS scores rising from 66.25 to 86.75 (+31.0%) after iterative refinements. These results highlight the impact of a user-centered approach in improving accessibility and inclusivity. By leveraging technology, Berisyarat bridges communication gaps, improves accessibility, and promotes inclusivity between Indonesia's deaf and hearing communities, offering a scalable solution for sign language education.

This dataset is used for calculating SUS (System Usability Scale) and SEQ (Single Ease Question), which are explained in the paper.
DOI: 10.5281/zenodo.15625919
title: Designing and Developing a Sign Language Learning Application to Bridge the Communication Gap Between the Deaf and Hearing Community Using a Design Thinking Approach

description: Hearing loss impacts 4.6% of Indonesia's population, including 2.6 million individuals with impairments. Despite this, communication challenges remain due to a lack of widespread sign language understanding and limited access to learning resources. This paper introduces Berisyarat, a mobile application designed with a user-centered approach to support the learning of Indonesian sign language through structured content and gamified features. Developed using the design thinking framework, the process focused on empathy, defining problems, ideating solutions, prototyping, and thorough user testing to address specific needs. Key features of the app include interactive learning modules, a sign language translator, quizzes, and a community forum aimed at fostering engagement and collaboration. Usability testing with 10 participants showed significant improvements, with SEQ scores increasing from 4.4 to 5.31 (+20.7%) and SUS scores rising from 66.25 to 86.75 (+31.0%) after iterative refinements. These results highlight the impact of a user-centered approach in improving accessibility and inclusivity. By leveraging technology, Berisyarat bridges communication gaps, improves accessibility, and promotes inclusivity between Indonesia's deaf and hearing communities, offering a scalable solution for sign language education.

This dataset is used for calculating SUS (System Usability Scale) and SEQ (Single Ease Question), which are explained in the paper.
DOI: 10.5064/f6aw0dhs/gtlob8
title: Ogunbajo-Hickson_FocusGroup2_themes.pdf
DOI: 10.5064/f6aw0dhs/hphdav
title: Ogunbajo-Hickson_FGD_InterviewGuide.pdf
DOI: 10.5064/f6aw0dhs/hurkzb
title: README_Ogunbajo-Hickson.txt
DOI: 10.5064/f6aw0dhs/imoqdt
title: Ogunbajo-Hickson_DataNarrative.pdf
DOI: 10.5064/f6aw0dhs/jgndnq
title: Ogunbajo-Hickson_InformedConsent.pdf
DOI: 10.5064/f6aw0dhs/munssq
title: Ogunbajo-Hickson_FocusGroup1_themes.pdf
DOI: 10.15468/dl.pym2ba
title: Occurrence Download

description: A dataset listing the 77 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-97.06728 15.86187,-97.06722 15.86153,-97.06739 15.86123,-97.06776 15.86105,-97.0682 15.86081,-97.06835 15.86051,-97.06816 15.86017,-97.06772 15.85991,-97.06683 15.85959,-97.06606 15.85937,-97.06543 15.85939,-97.06514 15.85977,-97.06508 15.86013,-97.06423 15.86077,-97.06346 15.86119,-97.06268 15.86143,-97.06234 15.86149,-97.0614 15.86114,-97.06105 15.86081,-97.06061 15.86002,-97.05924 15.8578,-97.05912 15.85897,-97.05827 15.85967,-97.05868 15.86046,-97.05877 15.86094,-97.059 15.86138,-97.05945 15.86187,-97.06063 15.86246,-97.06134 15.86267,-97.06234 15.86274,-97.06482 15.86235,-97.06728 15.86187))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 77 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031200-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fyaa2g
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uruguay",
 "OccurrenceStatus is Present",
 "TaxonKey is Thelypteris argentina (Hieron.) Abbiatti"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031209-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aeamj9
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ilex cuthbertii Small"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031210-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4p6dxd
title: Occurrence Download

description: A dataset containing 1424 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asimina obovata (Willd.) Nash"
 ]
}

 The dataset includes 1424 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031211-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89vhms
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptella villiersi Hewitt, 1935",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031212-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.28641938
title: Supplementary material of the paper investigating students' perception of using POGIL in teaching Python

description: Supplementary material of the paper investigating students' perception of using POGIL in teaching Python.
DOI: 10.6084/m9.figshare.28641938.v2
title: Supplementary material of the paper investigating students' perception of using POGIL in teaching Python

description: Supplementary material of the paper investigating students' perception of using POGIL in teaching Python.
DOI: 10.6084/m9.figshare.28641938.v1
title: Supplementary material of the paper investigating students' perception of using POGIL in teaching Python

description: Supplementary material of the paper investigating students' perception of using POGIL in teaching Python.
DOI: 10.22002/dfmbb-j6g92
title: Thermal Stability of Thionyl Chloride and the Sulfinyl Chloride Radical Determined by Cl-S Bond Energy

description: The data set for the draft with title "Thermal Stability of Thionyl Chloride and the Sulfinyl Chloride Radical Determined by Cl-S Bond Energy"
DOI: 10.15468/dl.qzyjtc
title: Occurrence Download

description: A dataset containing 430 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Polycentropus Curtis, 1835"
 ]
}

 The dataset includes 430 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031214-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6xgk7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptella villiersi Hewitt, 1935",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031215-250525065834625/datasets/export for details.
DOI: 10.15468/dl.uuzk28
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Ipomoea padillae",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031217-250525065834625/datasets/export for details.
DOI: 10.15468/dl.3y9n4s
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección del Phylum Mollusca (Clase Polyplacophora) del Museo de Zoología de la Universidad de Concepción UCCC_MZUC_MOL"
 ]
}

 The dataset includes 140 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031216-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/2noolt
title: Replication data for: Managing Inequality: Manager-Specific Wage Premiums and Selection in the Managerial Labor Market

description: Replication code for the paper "Managing Inequality: Manager-Specific Wage Premiums and Selection in the Managerial Labor Market."
description: Volume XX, Issue X
DOI: 10.5281/zenodo.14728851
title: Distinct spatially organized striatum-wide acetylcholine dynamics for the learning and extinction of Pavlovian associations

description: ABSTRACT

Striatal acetylcholine (ACh) signaling has been proposed to counteract reinforcement signals to promote extinction and behavioral flexibility. ACh dips to cues and rewards may open a temporal window for associative plasticity to occur, while elevations may promote extinction. Changes in multi-phasic striatal ACh signals have been widely reported during learning, but how and where signals are distributed to enable region-specific plasticity for the learning and degradation of cue-reward associations is poorly understood. We used array fiber photometry in mice to investigate how ACh release across the striatum evolves during learning and extinction of Pavlovian associations. We report a topographic organization of opposing changes in ACh release to cues, rewards, and consummatory actions across distinct striatum regions. We localized reward prediction error encoding in particular phases of the ACh dynamics to a specific region of the anterior dorsal striatum (aDS). Positive prediction errors in the aDS were expressed in ACh dips, and negative prediction errors in long latency ACh elevations. Silencing aDS ACh release impaired behavioral extinction, suggesting a role for ACh elevations in down-regulating cue-reward associations. Dopamine release in aDS dipped for cues during extinction, but glutamate input onto cholinergic interneurons did not change, suggesting an intrastriatal mechanism for the emergence of ACh elevations. Our large scale measurements indicate how and where ACh dynamics can shape region-specific plasticity to gate learning and promote extinction of Pavlovian associations.

FILE DESCRIPTIONS

This repository contains the following files:



_README_Source_Data (.txt) - File with detailed information on content within each individual .zip folder that relates to a figure.

Key Resources Table (.xlsx) - Table containing details on key resources (mouse lines, virus strains, software), and the persistent identifiers for protocols and scripts used and generated in this study.

Fig1 to 8 (.zip) - Individual folders contaning raw preprocessed and processed datasets for each Main Figures 1 to 8.

Supp Fig1 to 7 (.zip) - Individual folders contaning raw preprocessed and processed datasets for each Supplementary Figures 1 to 7.
DOI: 10.15468/dl.hc66bz
title: Occurrence Download

description: A dataset containing 185397 species occurrences available in GBIF matching the query:
{
 "and" : [
 "IucnRedListCategory is one of (CR, EN)",
 "TaxonKey is Carnivora",
 "Year 1902-2025"
 ]
}

 The dataset includes 185397 records from 349 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031194-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjm25h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptella villiersi Hewitt, 1935",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031219-250525065834625/datasets/export for details.
DOI: 10.15468/dl.y7wnxy
title: Occurrence Download

description: A dataset containing 3214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Mexico, United States of America, Costa Rica, Guatemala, El Salvador, Belize, Panama, Honduras, Nicaragua)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Thunbergia alata Bojer ex Sims",
 "Year 1900-2025"
 ]
}

 The dataset includes 3214 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031220-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15399790
title: Distinct spatially organized striatum-wide acetylcholine dynamics for the learning and extinction of Pavlovian associations

description: ABSTRACT

Striatal acetylcholine (ACh) signaling has been proposed to counteract reinforcement signals to promote extinction and behavioral flexibility. ACh dips to cues and rewards may open a temporal window for associative plasticity to occur, while elevations may promote extinction. Changes in multi-phasic striatal ACh signals have been widely reported during learning, but how and where signals are distributed to enable region-specific plasticity for the learning and degradation of cue-reward associations is poorly understood. We used array fiber photometry in mice to investigate how ACh release across the striatum evolves during learning and extinction of Pavlovian associations. We report a topographic organization of opposing changes in ACh release to cues, rewards, and consummatory actions across distinct striatum regions. We localized reward prediction error encoding in particular phases of the ACh dynamics to a specific region of the anterior dorsal striatum (aDS). Positive prediction errors in the aDS were expressed in ACh dips, and negative prediction errors in long latency ACh elevations. Silencing aDS ACh release impaired behavioral extinction, suggesting a role for ACh elevations in down-regulating cue-reward associations. Dopamine release in aDS dipped for cues during extinction, but glutamate input onto cholinergic interneurons did not change, suggesting an intrastriatal mechanism for the emergence of ACh elevations. Our large scale measurements indicate how and where ACh dynamics can shape region-specific plasticity to gate learning and promote extinction of Pavlovian associations.

FILE DESCRIPTIONS

This repository contains the following files:



_README_Source_Data (.txt) - File with detailed information on content within each individual .zip folder that relates to a figure.

Key Resources Table (.xlsx) - Table containing details on key resources (mouse lines, virus strains, software), and the persistent identifiers for protocols and MATLAB custom-written code used and generated in this study.

Fig1 to 8 (.zip) - Individual folders contaning raw preprocessed and processed datasets for each Main Figures 1 to 8.

Supp Fig1 to 7 (.zip) - Individual folders contaning raw preprocessed and processed datasets for each Supplementary Figures 1 to 7.