cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31023678
title: ‘I know that I Am going to Be shaky’: Drivers and impacts of medical educator behavior when teaching sexual and gender minority health

description: Medical educators increasingly recognize the need to improve training about the health and healthcare of sexual and gender minority (SGM) populations, yet many report uncertainty about how to address these topics in teaching. Pervasive cisheteronormativity in the medical education system necessitates intentional effort to improve SGM teaching. This study explores the drivers and impacts of medical educator behavior when teaching about SGM individuals and their health. We conducted seven faculty educator interviews and four student focus groups (third- and fourth-year medical students, <i>N</i> = 18), representing experiences across the four-year medical curriculum. We used an inductive approach to identify themes about faculty behavior around SGM topics and the impacts of these behaviors on students. Faculty and students consistently value respect for SGM patients and populations. However, variability in educator comfort, local culture, and curricular complexity create inconsistent educational quality. We identified four themes: (1) SGM health education occurs through modalities beyond the formal curriculum; (2) Structural factors drive variability in SGM education; (3) Perceived importance of teaching SGM topics is tied to clinical relevance, empathy, and lived experience; and (4) Educator comfort is tied to fear of mistakes, growth mindset, and support. Quality of SGM teaching is driven not just by inclusion of SGM content but also by how educators engage with the information. SGM teaching quality is driven by educator perception of control in teaching about SGM health (e.g. knowledge, comfort, fear of making mistakes, extent of institutional support) and local norms about SGM inclusion in teaching. Institutional leadership can foster SGM inclusivity in medical curricula by providing intentional faculty development, supporting a growth mindset culture for educators, and providing centralized oversight of SGM content across the curriculum. These strategies promote alignment among educators and a cohesive curriculum for preparing future clinicians to care for SGM patients.
DOI: 10.6084/m9.figshare.31023678.v1
title: ‘I know that I Am going to Be shaky’: Drivers and impacts of medical educator behavior when teaching sexual and gender minority health

description: Medical educators increasingly recognize the need to improve training about the health and healthcare of sexual and gender minority (SGM) populations, yet many report uncertainty about how to address these topics in teaching. Pervasive cisheteronormativity in the medical education system necessitates intentional effort to improve SGM teaching. This study explores the drivers and impacts of medical educator behavior when teaching about SGM individuals and their health. We conducted seven faculty educator interviews and four student focus groups (third- and fourth-year medical students, <i>N</i> = 18), representing experiences across the four-year medical curriculum. We used an inductive approach to identify themes about faculty behavior around SGM topics and the impacts of these behaviors on students. Faculty and students consistently value respect for SGM patients and populations. However, variability in educator comfort, local culture, and curricular complexity create inconsistent educational quality. We identified four themes: (1) SGM health education occurs through modalities beyond the formal curriculum; (2) Structural factors drive variability in SGM education; (3) Perceived importance of teaching SGM topics is tied to clinical relevance, empathy, and lived experience; and (4) Educator comfort is tied to fear of mistakes, growth mindset, and support. Quality of SGM teaching is driven not just by inclusion of SGM content but also by how educators engage with the information. SGM teaching quality is driven by educator perception of control in teaching about SGM health (e.g. knowledge, comfort, fear of making mistakes, extent of institutional support) and local norms about SGM inclusion in teaching. Institutional leadership can foster SGM inclusivity in medical curricula by providing intentional faculty development, supporting a growth mindset culture for educators, and providing centralized oversight of SGM content across the curriculum. These strategies promote alignment among educators and a cohesive curriculum for preparing future clinicians to care for SGM patients.
DOI: 10.15468/dl.fxftak
title: Occurrence Download

description: A dataset containing 31676 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is October",
 "OccurrenceStatus is Present",
 "TaxonKey is Charadriidae"
 ]
}

 The dataset includes 31676 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081058-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3kfntg
title: Occurrence Download

description: A dataset containing 7378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Anguilla",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 7378 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081059-251120083545085/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.29243654.v1
title: Data for "Depth variations in multi-stage hydrogen generation associated with serpentinization in the lower crust and mantle sections of the Oman Ophiolite"

description: This repositry include data used in "Depth variations in multi-stage hydrogen generation associated with serpentinization in the lower crust and mantle sections of the Oman Ophiolite" by Kazuki Yoshida, Atsushi Okamoto, Ryosuke Oyanagi, Masakazu Fujii, Kenta K. Yoshida, Yasuhiro Niwa, Yasuo Takeichi, and Masao Kimura."Tables.xlsx" includes the composition of serpentine and brucite in each sample (Table 1), Fe<sup>3+</sup>/ΣFe ratio of serpentine in each sample measured by 2D XAFS imaging (Table 2), sample list (Table S1), olivine compositions determined by electron microprobe analysis (Table S2), semi-quantitative analyses of Ni–Fe alloys and sulfides by energy dispersive X-ray spectroscopy (Table S3), characteristics of the X-ray absorption fine-structure spectra (Table S4), linear combination fitting results and estimated Fe<sup>3+</sup>/ΣFe ratios (Table S5), bulk-rock major element compositions (Table S6), bulk-rock magnetic properties (Table S7), and mass losses at 250–450°C and 450–800°C measured by thermogravimetric analysis (Table S8)."XAFS.zip" includes X-ray absorption fine edge structure spectra for each sample."TG.zip" includes thermogravimetric data for each sample.
DOI: 10.5281/zenodo.15123603
title: Source data for ISDiffM

description: These are original data for paper "Diffusion Models Enable High-Fidelity Prediction of Fuel Cell Impedance Spectrum from Short Time-Domain Profiles".
description: If you find it useful, please cite our data:

Hao Yuan, Dayi Tan, Zhihua Zhong, Jiangong Zhu, Pingwen Ming, Xuezhe Wei, Haifeng Dai. Diffusion Models Enable High-Fidelity Prediction of Fuel Cell Impedance Spectrum from Short Time-Domain Profiles, Source data Zenodo, https://doi.org/10.5281/zenodo.15123604, 2025.
DOI: 10.5281/zenodo.15123604
title: Source data for ISDiffM

description: These are original data for paper "Diffusion Models Enable High-Fidelity Prediction of Fuel Cell Impedance Spectrum from Short Time-Domain Profiles".
description: If you find it useful, please cite our data:

Hao Yuan, Dayi Tan, Zhihua Zhong, Jiangong Zhu, Pingwen Ming, Xuezhe Wei, Haifeng Dai. Diffusion Models Enable High-Fidelity Prediction of Fuel Cell Impedance Spectrum from Short Time-Domain Profiles, Source data Zenodo, https://doi.org/10.5281/zenodo.15123604, 2025.
DOI: 10.15468/dl.emzpxg
title: Occurrence Download

description: A dataset containing 4628 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Antigua and Barbuda",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 4628 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081060-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18434/m32044
title: Process Monitoring Dataset from the Additive Manufacturing Metrology Testbed (AMMT): 3D Scan Strategies

description: This dataset includes the files pertaining to a 3D additive manufacturing build performed on the Additive Manufacturing Metrology Testbed (AMMT) by Ho Yeung on July 8, 2018. The files include the input command files and in-situ process monitoring data, and metadata. This data is the first of future planned AMMT Process Monitoring Reference Datasets, as part of the Metrology for Real-Time Monitoring of Additive Manufacturing project.
DOI: 10.5281/zenodo.18181911
title: Ipseity Daily Data

description: At what rate do individuals say they are X?

Begining on 2025-07-08, I surveyed a small random sample of American adults on a daily cadence.  They responded to many items of the form: Does <signifier> describe you today?

The file ipseity-daily-aggregated.csv in this repository contains the aggregated results through 2025-07-28.  The columns are as follows:



signifier - a word, phrase or emoji

yes_count - the number of respondents who answered yes (aggregated all-time).

no_count - the number of respondents who answered no (aggregated all-time).

prevalence_per_10k - an estimate of the prevalence per 10,000.  If we were to survey 10,000 American adults, how many would we expect to respond yes to this signifier?  The number is calculated as yes_count / (yes_count + no_count) * 10,000.

earliest_obs_date - this date represents the first time this particular signifier was ever displayed to a respondent.  Signifiers are chosen with stochasticity from a long list; new signifiers are sometimes added, old signifiers are sometimes deleted, and a signifier may be moved higher or lower in priority for sampling.

latest_obs_date - the date closest to the present date on which signifier was most recently presented to a respondent.


Version created on 2026-01-08 — cumulative data.
DOI: 10.15468/dl.gvqt9t
title: Occurrence Download

description: A dataset containing 40416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February)",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 40416 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081063-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wn7p4f
title: Occurrence Download

description: A dataset containing 28633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (March, April, May, June, July)",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 28633 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081064-251120083545085/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.31023667
title: fairy ring data

description: This is the dataset for the fairy ring in the alpine meadow.
DOI: 10.6084/m9.figshare.31023667.v1
title: fairy ring data

description: This is the dataset for the fairy ring in the alpine meadow.
DOI: 10.13145/bacdive161271.20250331.9.3
title: <i>Grimontia</i> <i>hollisae</i> (Hickman <i>et al.</i> 1982) Thompson <i>et al.</i> 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161271.20251217.10
title: <i>Grimontia</i> <i>hollisae</i> (Hickman <i>et al.</i> 1982) Thompson <i>et al.</i> 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161272.20241212.9.2
title: <i>Grimontia</i> <i>hollisae</i> (Hickman <i>et al.</i> 1982) Thompson <i>et al.</i> 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.34683/sr3570
title: StoneRounds Case: SR3570
title: Enhanced S-Cone Syndrome

description: StoneRounds Case SR3570 was diagnosed with Enhanced S-Cone Syndrome likely caused by mutations in the gene: NR2E3.
DOI: 10.13145/bacdive161272.20251217.10
title: <i>Grimontia</i> <i>hollisae</i> (Hickman <i>et al.</i> 1982) Thompson <i>et al.</i> 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161273.20241212.9.2
title: <i>Grimontia</i> <i>hollisae</i> (Hickman <i>et al.</i> 1982) Thompson <i>et al.</i> 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161273.20251217.10
title: <i>Grimontia</i> <i>hollisae</i> (Hickman <i>et al.</i> 1982) Thompson <i>et al.</i> 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161274.20241212.9.2
title: <i>Micromonospora</i> <i>krabiensis</i> Jongrungruangchok <i>et al.</i> 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161274.20251217.10
title: <i>Micromonospora</i> <i>krabiensis</i> Jongrungruangchok <i>et al.</i> 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161275.20241212.9.2
title: <i>Micromonospora</i> <i>marina</i> Tanasupawat <i>et al.</i> 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161275.20251217.10
title: <i>Micromonospora</i> <i>marina</i> Tanasupawat <i>et al.</i> 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161276.20241212.9.2
title: <i>Micromonospora</i> <i>marina</i> Tanasupawat <i>et al.</i> 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161276.20251217.10
title: <i>Micromonospora</i> <i>marina</i> Tanasupawat <i>et al.</i> 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161277.20241212.9.2
title: <i>Micromonospora</i> <i>chaiyaphumensis</i> Jongrungruangchok <i>et al.</i> 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161277.20251217.10
title: <i>Micromonospora</i> <i>chaiyaphumensis</i> Jongrungruangchok <i>et al.</i> 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.31011874.v1
title: <b>The Load–Usage–Efficiency Framework: Nonlinear Effects of Physical Load in Professional Basketball</b>

description: Research data and R code for <i>The Load–Usage–Efficiency Framework: Nonlinear Effects of Physical Load in Professional Basketball.</i>
DOI: 10.13145/bacdive161278.20241212.9.2
title: <i>Micromonospora</i> <i>chaiyaphumensis</i> Jongrungruangchok <i>et al.</i> 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161278.20251217.10
title: <i>Micromonospora</i> <i>chaiyaphumensis</i> Jongrungruangchok <i>et al.</i> 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161279.20250331.9.3
title: <i>Haloterrigena</i> <i>saccharevitans</i> Xu <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161279.20251217.10
title: <i>Haloterrigena</i> <i>saccharevitans</i> Xu <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161280.20250331.9.3
title: <i>Natrinema</i> <i>altunense</i> Xu <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161280.20251217.10
title: <i>Natrinema</i> <i>altunense</i> Xu <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161281.20241212.9.2
title: <i>Geobacillus</i> <i>kaustophilus</i> (Priest <i>et al.</i> 1989) Nazina <i>et al.</i> 2001

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161281.20251217.10
title: <i>Geobacillus</i> <i>kaustophilus</i> (Priest <i>et al.</i> 1989) Nazina <i>et al.</i> 2001

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161282.20241212.9.2
title: <i>Geobacillus</i> <i>stearothermophilus</i> (Donk 1920) Nazina <i>et al.</i> 2001

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161282.20251217.10
title: <i>Geobacillus</i> <i>stearothermophilus</i> (Donk 1920) Nazina <i>et al.</i> 2001

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161283.20241212.9.2
title: <i>Parabacteroides</i> <i>distasonis</i> (Eggerth and Gagnon 1933) Sakamoto and Benno 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161283.20251217.10
title: <i>Parabacteroides</i> <i>distasonis</i> (Eggerth and Gagnon 1933) Sakamoto and Benno 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161284.20241212.9.2
title: <i>Prevotella</i> <i>multisaccharivorax</i> Sakamoto <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161284.20251217.10
title: <i>Prevotella</i> <i>multisaccharivorax</i> Sakamoto <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161285.20241212.9.2
title: <i>Prevotella</i> <i>multisaccharivorax</i> Sakamoto <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161285.20251217.10
title: <i>Prevotella</i> <i>multisaccharivorax</i> Sakamoto <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161286.20241212.9.2
title: <i>Prevotella</i> <i>multisaccharivorax</i> Sakamoto <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161286.20251217.10
title: <i>Prevotella</i> <i>multisaccharivorax</i> Sakamoto <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161287.20241212.9.2
title: <i>Prevotella</i> <i>multisaccharivorax</i> Sakamoto <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161287.20251217.10
title: <i>Prevotella</i> <i>multisaccharivorax</i> Sakamoto <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161288.20241212.9.2
title: <i>Prevotella</i> <i>multisaccharivorax</i> Sakamoto <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161288.20251217.10
title: <i>Prevotella</i> <i>multisaccharivorax</i> Sakamoto <i>et al.</i> 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161289.20241212.9.2
title: <i>Ethanoligenens</i> <i>harbinense</i> Xing <i>et al.</i> 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161289.20251217.10
title: <i>Ethanoligenens</i> <i>harbinense</i> Xing <i>et al.</i> 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive161290.20241212.9.2
title: <i>Phocaeicola</i> <i>plebeius</i> (Kitahara <i>et al.</i> 2005) Garc¡a-L¢pez <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.