cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14043001
title: Toy Qualitative Data Project (Interview Transcripts)

description: Please be advised that this project is intended solely for instructional purposes and should not be used for actual research. This dataset is intended to complement the instructional material and provide a hands-on learning experience for the workshop: Handling and Sharing Qualitative Data Responsibly and Effectively.

This hypothetical research project is designed to demonstrate key concepts related to human subject qualitative data management and thematic analysis coding. It includes interview transcripts generated with ChatGPT 4.0 Mini for a fictional graduate student in Communication named Sarah, whose main research question is: How do content creators/digital influencers view their role in shaping their followers' consumer behavior, and what ethical dilemmas do they face when promoting products?



Given the novelty of this research topic and the limited academic literature available, Sarah hopes that the insights gained from this small-scale qualitative exploratory study will help identify key variables for a larger survey study with a representative sample of content creators/digital influencers across the U.S.

Sarah has previous experience with quantitative methods but is very new to qualitative research and could use our help for better handling the data. Having already conducted six short structured interviews with subjects from top revenue niches (i.e., Home Decor and DYI, Travel & Adventure, Fashion & Style, Health & Wellness, Finance & Investment, Beauty & Skincare) and planning to conduct a dozen more, Sarah is eager to begin engaging with the data she has collected so far and deciding how to best organize and interpret it. We’ll be walking her through this process, providing the necessary guidance and support for effective and responsible data management.

Interviews were conducted over Zoom and audio recorded with participants' consent. The interview included four main questions, which were consistent across all interviews:

Q1. Please tell me a little about your work as a content creator/digital influencer how it started, and how you have established yourself in your current niche.

Q2. In what ways do you believe content creators/digital influencers shape consumer behavior? Could you share any examples?

Q3. What strategies would you say content creators/digital influencers typically use to increase sales of sponsored products and services? Which ones have you used? What worked and what did not work for you? Why?

Q4. In your view, what are the essential ethical responsibilities that content creators and digital influencers should uphold? Can you share any personal experiences that illustrate these responsibilities in action?

Each interview generated approximately 15 minutes of audio recording, which Sarah manually transcribed. Sarah decided to keep the transcription true to the recordings and seek assistance to mitigate any risk of identification.
DOI: 10.5281/zenodo.14043000
title: Toy Qualitative Data Project (Interview Transcripts)

description: Please be advised that this project is intended solely for instructional purposes and should not be used for actual research. This dataset is intended to complement the instructional material and provide a hands-on learning experience for the workshop: Handling and Sharing Qualitative Data Responsibly and Effectively.

This hypothetical research project is designed to demonstrate key concepts related to human subject qualitative data management and thematic analysis coding. It includes interview transcripts generated with ChatGPT 4.0 Mini for a fictional graduate student in Communication named Sarah, whose main research question is: How do content creators/digital influencers view their role in shaping their followers' consumer behavior, and what ethical dilemmas do they face when promoting products?



Given the novelty of this research topic and the limited academic literature available, Sarah hopes that the insights gained from this small-scale qualitative exploratory study will help identify key variables for a larger survey study with a representative sample of content creators/digital influencers across the U.S.

Sarah has previous experience with quantitative methods but is very new to qualitative research and could use our help for better handling the data. Having already conducted six short structured interviews with subjects from top revenue niches (i.e., Home Decor and DYI, Travel & Adventure, Fashion & Style, Health & Wellness, Finance & Investment, Beauty & Skincare) and planning to conduct a dozen more, Sarah is eager to begin engaging with the data she has collected so far and deciding how to best organize and interpret it. We’ll be walking her through this process, providing the necessary guidance and support for effective and responsible data management.

Interviews were conducted over Zoom and audio recorded with participants' consent. The interview included four main questions, which were consistent across all interviews:

Q1. Please tell me a little about your work as a content creator/digital influencer how it started, and how you have established yourself in your current niche.

Q2. In what ways do you believe content creators/digital influencers shape consumer behavior? Could you share any examples?

Q3. What strategies would you say content creators/digital influencers typically use to increase sales of sponsored products and services? Which ones have you used? What worked and what did not work for you? Why?

Q4. In your view, what are the essential ethical responsibilities that content creators and digital influencers should uphold? Can you share any personal experiences that illustrate these responsibilities in action?

Each interview generated approximately 15 minutes of audio recording, which Sarah manually transcribed. Sarah decided to keep the transcription true to the recordings and seek assistance to mitigate any risk of identification.
DOI: 10.5281/zenodo.14511085
title: Toy Qualitative Data Project (Interview Transcripts)

description: Please be advised that this project is intended solely for instructional purposes and should not be used for actual research. This dataset is intended to complement the instructional material and provide a hands-on learning experience for the workshop: Handling and Sharing Qualitative Data Responsibly and Effectively.

This hypothetical research project is designed to demonstrate key concepts related to human subject qualitative data management and thematic analysis coding. It includes interview transcripts generated with ChatGPT 4.0 Mini for a fictional graduate student in Communication named Sarah, whose main research question is: How do content creators/digital influencers view their role in shaping their followers' consumer behavior, and what ethical dilemmas do they face when promoting products?



Given the novelty of this research topic and the limited academic literature available, Sarah hopes that the insights gained from this small-scale qualitative exploratory study will help identify key variables for a larger survey study with a representative sample of content creators/digital influencers across the U.S.

Sarah has previous experience with quantitative methods but is very new to qualitative research and could use our help for better handling the data. Having already conducted six short structured interviews with subjects from top revenue niches (i.e., Home Decor and DYI, Travel & Adventure, Fashion & Style, Health & Wellness, Finance & Investment, Beauty & Skincare) and planning to conduct a dozen more, Sarah is eager to begin engaging with the data she has collected so far and deciding how to best organize and interpret it. We’ll be walking her through this process, providing the necessary guidance and support for effective and responsible data management.

Interviews were conducted over Zoom and audio recorded with participants' consent. The interview included four main questions, which were consistent across all interviews:

Q1. Please tell me a little about your work as a content creator/digital influencer how it started, and how you have established yourself in your current niche.

Q2. In what ways do you believe content creators/digital influencers shape consumer behavior? Could you share any examples?

Q3. What strategies would you say content creators/digital influencers typically use to increase sales of sponsored products and services? Which ones have you used? What worked and what did not work for you? Why?

Q4. In your view, what are the essential ethical responsibilities that content creators and digital influencers should uphold? Can you share any personal experiences that illustrate these responsibilities in action?

Each interview generated approximately 15 minutes of audio recording, which Sarah manually transcribed. Sarah decided to keep the transcription true to the recordings and seek assistance to mitigate any risk of identification.
DOI: 10.6084/m9.figshare.c.3698116_d1.v1
title: MOESM2 of DASPfind: new efficient method to predict drugâ  target interactions

description: Additional file 2: DATA_1. This contains DTI data sets named as: Nuclear Receptor, GPCR, Ion Channels, Enzyme, and DrugBank_approved.
DOI: 10.6084/m9.figshare.c.3698116_d2.v1
title: MOESM3 of DASPfind: new efficient method to predict drugâ  target interactions

description: Additional file 3: DATA_2. This contains HGBI data set.
DOI: 10.6084/m9.figshare.c.3698116_d1
title: MOESM2 of DASPfind: new efficient method to predict drugâ  target interactions

description: Additional file 2: DATA_1. This contains DTI data sets named as: Nuclear Receptor, GPCR, Ion Channels, Enzyme, and DrugBank_approved.
DOI: 10.6084/m9.figshare.c.3698116_d2
title: MOESM3 of DASPfind: new efficient method to predict drugâ  target interactions

description: Additional file 3: DATA_2. This contains HGBI data set.
DOI: 10.6084/m9.figshare.c.3698170_d1.v1
title: Additional file 2: of Describing undergraduate STEM teaching practices: a comparison of instructor self-report instruments

description: Coding data. In this appendix, we include frequency counts for each of our codes. Counts are given for each code for each instrument. There are also totals provided across all of the instruments for each code. (XLSX 13 kb)
DOI: 10.15468/dl.exf96w
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ahlia egmontis (Jordan, 1884)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 177 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038137-241126133413365/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.c.3698170_d1
title: Additional file 2: of Describing undergraduate STEM teaching practices: a comparison of instructor self-report instruments

description: Coding data. In this appendix, we include frequency counts for each of our codes. Counts are given for each code for each instrument. There are also totals provided across all of the instruments for each code. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.c.3698173_d2.v1
title: MOESM3 of A non-native macroalga is less attractive for herbivores but more susceptible to light limitation and grazing stress than a comparable native species

description: Additional file 3. Datasets of the light compensation points and of the effects of grazing and light intensity on the consumption of the native Stypopodium zonale and the non-native Grateloupia imbricata by Paracentrotus lividus in laboratory experiment on Madeira Island in 2007.
DOI: 10.6084/m9.figshare.c.3698173_d2
title: MOESM3 of A non-native macroalga is less attractive for herbivores but more susceptible to light limitation and grazing stress than a comparable native species

description: Additional file 3. Datasets of the light compensation points and of the effects of grazing and light intensity on the consumption of the native Stypopodium zonale and the non-native Grateloupia imbricata by Paracentrotus lividus in laboratory experiment on Madeira Island in 2007.
DOI: 10.6084/m9.figshare.c.3698212_d9.v1
title: MOESM2 of AutoDock VinaXB: implementation of XBSF, new empirical halogen bond scoring function, into AutoDock Vina

description: Additional file 2. PDB IDs that has halogen bond using Bromine.
DOI: 10.6084/m9.figshare.c.3698212_d9
title: MOESM2 of AutoDock VinaXB: implementation of XBSF, new empirical halogen bond scoring function, into AutoDock Vina

description: Additional file 2. PDB IDs that has halogen bond using Bromine.
DOI: 10.15468/dl.rurysd
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albatrossia pectoralis (Gilbert, 1892)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038138-241126133413365/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.c.3698329_d7
title: Additional file 3: of Probabilistic Volcanic Ash Hazard Analysis (PVAHA) II: assessment of the Asia-Pacific region using VAPAH

description: GVP events included in the Asia-Pacific case studyÂ (sub-region B). (CSV 14 kb)
DOI: 10.6084/m9.figshare.c.3698329_d8
title: Additional file 9: of Probabilistic Volcanic Ash Hazard Analysis (PVAHA) II: assessment of the Asia-Pacific region using VAPAH

description: Calculated annual probabilities for an event of any magnitude occurring from all sources in the Asia-Pacific case studyÂ (sub-region B). (CSV 2 kb)
DOI: 10.6084/m9.figshare.c.3698329_d8.v1
title: Additional file 9: of Probabilistic Volcanic Ash Hazard Analysis (PVAHA) II: assessment of the Asia-Pacific region using VAPAH

description: Calculated annual probabilities for an event of any magnitude occurring from all sources in the Asia-Pacific case studyÂ (sub-region B). (CSV 2 kb)
DOI: 10.6084/m9.figshare.c.3698329_d9.v1
title: Additional file 7: of Probabilistic Volcanic Ash Hazard Analysis (PVAHA) II: assessment of the Asia-Pacific region using VAPAH

description: GVP events included in the Asia-Pacific case studyÂ (sub-region F). (CSV 101 kb)
DOI: 10.6084/m9.figshare.c.3698329_d9
title: Additional file 7: of Probabilistic Volcanic Ash Hazard Analysis (PVAHA) II: assessment of the Asia-Pacific region using VAPAH

description: GVP events included in the Asia-Pacific case studyÂ (sub-region F). (CSV 101 kb)
DOI: 10.6084/m9.figshare.c.3698329_d10.v1
title: Additional file 13: of Probabilistic Volcanic Ash Hazard Analysis (PVAHA) II: assessment of the Asia-Pacific region using VAPAH

description: Calculated annual probabilities for an event of any magnitude occurring from all sources in the Asia-Pacific case studyÂ (sub-region F). (CSV 9 kb)
DOI: 10.6084/m9.figshare.c.3698329_d10
title: Additional file 13: of Probabilistic Volcanic Ash Hazard Analysis (PVAHA) II: assessment of the Asia-Pacific region using VAPAH

description: Calculated annual probabilities for an event of any magnitude occurring from all sources in the Asia-Pacific case studyÂ (sub-region F). (CSV 9 kb)
DOI: 10.6084/m9.figshare.c.3698329_d11.v1
title: Additional file 6: of Probabilistic Volcanic Ash Hazard Analysis (PVAHA) II: assessment of the Asia-Pacific region using VAPAH

description: GVP events included in the Asia-Pacific case studyÂ (sub-region E). (CSV 24 kb)
DOI: 10.6084/m9.figshare.c.3698329_d11
title: Additional file 6: of Probabilistic Volcanic Ash Hazard Analysis (PVAHA) II: assessment of the Asia-Pacific region using VAPAH

description: GVP events included in the Asia-Pacific case studyÂ (sub-region E). (CSV 24 kb)
DOI: 10.6084/m9.figshare.c.3698329_d12.v1
title: Additional file 8: of Probabilistic Volcanic Ash Hazard Analysis (PVAHA) II: assessment of the Asia-Pacific region using VAPAH

description: Calculated annual probabilities for an event of any magnitude occurring from all sources in the Asia-Pacific case studyÂ (sub-region A). (CSV 3 kb)
DOI: 10.6084/m9.figshare.c.3698329_d14.v1
title: Additional file 2: of Probabilistic Volcanic Ash Hazard Analysis (PVAHA) II: assessment of the Asia-Pacific region using VAPAH

description: GVP events included in the Asia-Pacific case studyÂ (sub-region A). (CSV 29 kb)
DOI: 10.6084/m9.figshare.c.3698329_d12
title: Additional file 8: of Probabilistic Volcanic Ash Hazard Analysis (PVAHA) II: assessment of the Asia-Pacific region using VAPAH

description: Calculated annual probabilities for an event of any magnitude occurring from all sources in the Asia-Pacific case studyÂ (sub-region A). (CSV 3 kb)
DOI: 10.15468/dl.tbuymm
title: Occurrence Download

description: A dataset containing 422 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scytalopus iraiensis Bornschein, Reinert & Pichorim, 1998"
 ]
}

 The dataset includes 422 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038139-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5697095k
title: MassIVE MSV000097412 - foiwhfuiewhuifrheuoifhreugf8ergw8ewruh
title: kldfsawfurheiufrezsgrzdzuvasjcvagvdsatzdvthasdtahssdtafut
DOI: 10.5281/zenodo.15071943
title: Ciona tail regression_genotype_Ano5 (KH.C8.274) _Ano6 (KH.C10.524)_video2(part1)

description: Video that was collected using Ciona Tracker 2.0 as part of Liang et al 2025. Animals included in this video are Ano5, Ano6 double mutants used in CRISPR/Cas9 experiments addressing the role of Ano5 and Ano6 in Ciona sensory perception
DOI: 10.5281/zenodo.15071944
title: Ciona tail regression_genotype_Ano5 (KH.C8.274) _Ano6 (KH.C10.524)_video2(part1)

description: Video that was collected using Ciona Tracker 2.0 as part of Liang et al 2025. Animals included in this video are Ano5, Ano6 double mutants used in CRISPR/Cas9 experiments addressing the role of Ano5 and Ano6 in Ciona sensory perception
DOI: 10.15468/dl.sxt3me
title: Occurrence Download

description: A dataset containing 120877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melilotus officinalis (L.) Lam.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 120877 records from 1147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023037-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvv44j
title: Occurrence Download

description: A dataset containing 45472 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mythimna unipuncta (Haworth, 1809)"
 ]
}

 The dataset includes 45472 records from 282 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023039-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtmbdq
title: Occurrence Download

description: A dataset containing 536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mimosa invisa Mart. ex Colla)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 536 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023041-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ft9qgv
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spilornis klossi Richmond, 1902"
 ]
}

 The dataset includes 143 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023042-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6h8c7t
title: Occurrence Download

description: A dataset containing 23036 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mimosa pudica L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 23036 records from 526 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023043-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eok29k
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Year 2019-2019",
 "HasCoordinate is true",
 "TaxonKey is Odocoileus virginianus (Zimmermann, 1780)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 98 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018120-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4dape
title: Occurrence Download

description: A dataset containing 363961 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Swedish Bird Survey: Fixed routes (Standardrutterna)"
 ]
}

 The dataset includes 363961 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224495-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88nvk3
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lampsilis rafinesqueana Frierson, 1927"
 ]
}

 The dataset includes 165 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0179376-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydc63t
title: Occurrence Download

description: A dataset containing 1213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Herichthys cyanoguttatus Baird & Girard, 1854"
 ]
}

 The dataset includes 1213 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018121-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.