cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17118151
title: Ensemble and smFRET dataset for the Hsp70/Hsp90-mediated folding of firefly luciferase

description: Summary

Dataset contains (predominantly) pre-processed data for single-molecule FRET (smFRET) and other biochemical data (e.g., luciferase refolding assays). For smFRET experiments, the conformation of individual firefly luciferase protein variants (containing FRET pairs at different positions on the protein) were monitored in real-time in the presence of various combinations of the bacterial Hsp70/Hs90 chaperone systems (i.e., DnaJ, DnaK, HtpG, GrpE). These experiments were analyzed using MASH-FRET and fit with a Hidden Markov Model using vbFRET, with the collated datasets provided as .dat files.

Data is published as a pre-print in BioRxiv (https://www.biorxiv.org/content/10.1101/2024.04.22.590477v1.abstract) - Note, however, that while the data for the main figures (e.g, Fig 1, 2, 3) are in the corresponding files within this repository many of the supplementary figure numbers have changed since initial publishing of the preprint. Despite this, the data and figures throughout the manuscript/supplementary informatinon can be generated by using the following custom code (https://doi.org/10.5281/zenodo.16791519 , version 1.0.4).
DOI: 10.5281/zenodo.17118152
title: Ensemble and smFRET dataset for the Hsp70/Hsp90-mediated folding of firefly luciferase

description: Summary

Dataset contains (predominantly) pre-processed data for single-molecule FRET (smFRET) and other biochemical data (e.g., luciferase refolding assays). For smFRET experiments, the conformation of individual firefly luciferase protein variants (containing FRET pairs at different positions on the protein) were monitored in real-time in the presence of various combinations of the bacterial Hsp70/Hs90 chaperone systems (i.e., DnaJ, DnaK, HtpG, GrpE). These experiments were analyzed using MASH-FRET and fit with a Hidden Markov Model using vbFRET, with the collated datasets provided as .dat files.

Data is published as a pre-print in BioRxiv (https://www.biorxiv.org/content/10.1101/2024.04.22.590477v1.abstract) - Note, however, that while the data for the main figures (e.g, Fig 1, 2, 3) are in the corresponding files within this repository many of the supplementary figure numbers have changed since initial publishing of the preprint. Despite this, the data and figures throughout the manuscript/supplementary informatinon can be generated by using the following custom code (https://doi.org/10.5281/zenodo.16791519 , version 1.0.4).
DOI: 10.26188/30889163
title: <i>MULTI-METHOD ANALYSIS OF ON-LINE PEER REVIEW & SELF-ASSESSMENT</i>

description: <i>Background: </i>Timely feedback is particularly impactful for students as they transition to assessment in higher education. But large cohorts, typically found within first year subjects, may make the provision of such feedback challenging for the lecturer. In these cases, self-assessment and peer feedback are appropriate strategies since they can help students monitor learning while also fostering a sense of belonging. As such, investigation is warranted for offering these opportunities to students at scale.<br><i>Aims:</i><i> </i>In this study we aim to document<b> </b>the impact of a low-stakes peer feedback and self-assessment initiative within a large-cohort first year university subject.<br><i>Methods and Sample:</i> Quantitative data including learning analytics and assessment results were collected from a cohort of over 1,200 first year finance students at a leading Australian university. Analysis of that data was complemented by a student survey.<br><i>Results: </i>Participation rates were high in all the self-assessment and peer feedback tasks, with the vast majority of students doing more than required to receive full marks. Overall, students perceived self-assessment to be the most beneficial activity, followed by assessing the work of others. While reviewing feedback offered from peers was considered least beneficial. The data also indicated that engagement with these activities had a positive effect on learning outcomes even after controlling for student aptitude.<br><i>Conclusion: </i>These findings speak to the academic benefits of combining peer feedback and self-assessment. They also underscore the theoretical role of motivational factors including student autonomy, competence, and a sense of social support within the first-year curriculum.
DOI: 10.26188/30889163.v1
title: <i>MULTI-METHOD ANALYSIS OF ON-LINE PEER REVIEW & SELF-ASSESSMENT</i>

description: <i>Background: </i>Timely feedback is particularly impactful for students as they transition to assessment in higher education. But large cohorts, typically found within first year subjects, may make the provision of such feedback challenging for the lecturer. In these cases, self-assessment and peer feedback are appropriate strategies since they can help students monitor learning while also fostering a sense of belonging. As such, investigation is warranted for offering these opportunities to students at scale.<br><i>Aims:</i><i> </i>In this study we aim to document<b> </b>the impact of a low-stakes peer feedback and self-assessment initiative within a large-cohort first year university subject.<br><i>Methods and Sample:</i> Quantitative data including learning analytics and assessment results were collected from a cohort of over 1,200 first year finance students at a leading Australian university. Analysis of that data was complemented by a student survey.<br><i>Results: </i>Participation rates were high in all the self-assessment and peer feedback tasks, with the vast majority of students doing more than required to receive full marks. Overall, students perceived self-assessment to be the most beneficial activity, followed by assessing the work of others. While reviewing feedback offered from peers was considered least beneficial. The data also indicated that engagement with these activities had a positive effect on learning outcomes even after controlling for student aptitude.<br><i>Conclusion: </i>These findings speak to the academic benefits of combining peer feedback and self-assessment. They also underscore the theoretical role of motivational factors including student autonomy, competence, and a sense of social support within the first-year curriculum.
DOI: 10.3886/e241262
title: Earnings, Occupation and College Degree: A Focus on the Economics Major

description: This study explores the occupations of college graduates by major, with a focus on the economics major, using American Community Survey microdata. We identify the most common occupations for mid-career workers whose highest degree is a bachelor’s degree, and report median income for each occupation. We also identify common industries, and present a ranking of all majors by earnings and self-employment rates. The code file can be modified so the analysis can be done for any major; the replication package includes an example for mathematics. Other extensions, such as relaxing the limitation to use only those whose highest degree is a bachelor's, can also be done by modeling the R script.
DOI: 10.3886/e241262v2
title: Earnings, Occupation and College Degree: A Focus on the Economics Major

description: This study explores the occupations of college graduates by major, with a focus on the economics major, using American Community Survey microdata. We identify the most common occupations for mid-career workers whose highest degree is a bachelor’s degree, and report median income for each occupation. We also identify common industries, and present a ranking of all majors by earnings and self-employment rates. The code file can be modified so the analysis can be done for any major; the replication package includes an example for mathematics. Other extensions, such as relaxing the limitation to use only those whose highest degree is a bachelor's, can also be done by modeling the R script.
DOI: 10.6084/m9.figshare.29966620
title: <b>Rhythms of lysis: viral regulation of prokaryotic turnover across diel cycles</b>

description: This dataset accompanies the manuscript “Rhythms of lysis: viral regulation of prokaryotic turnover across diel cycles” and contains all non-SRA data used in the analyses. Samples were collected at two oligotrophic time-series stations (SEATS and SS1) in the South China Sea during August 2023.<br>Environmental_metadata.xlsx provides station, date and time, depth, latitude and longitude, hydrographic variables (temperature, salinity, dissolved oxygen), fluorescence, photosynthetically active radiation (PAR), nutrient concentrations (NO₂⁻, NO₃⁻, PO₄³⁻, SiO₃²⁻), and abundances of heterotrophic bacteria, Synechococcus and Prochlorococcus.Additional worksheets summarize the acrophases (peak times) of diel periodicity in cell abundances for different microbial groups at SEATS and SS1.ASV_metadata.xlsx contains 16S rRNA amplicon sequence variant (ASV) tables and taxonomy; rows are ASVs and columns are samples for the rDNA<sub>cell</sub>, rRNA<sub>cell</sub> and rRNA<sub>ext</sub> fractions.Dilution experiment data.xlsx reports cell abundances of heterotrophic bacteria and Synechococcus for each dilution treatment and time point (0, 6, 12, 18, 24 h) in the modified dilution experiments at SEATS and SS1.group.txt lists the sample group assignments (e.g. LOWDAY, LOWNIGHT, HIGHDAY, HIGHNIGHT) used in downstream analyses.seven lysis group of ASV.R and WGCNA-diel ASVs.R are R scripts that reproduce the seven lysis-group classification, CLI calculations, WGCNA and the associated figures.
DOI: 10.6084/m9.figshare.29966620.v1
title: <b>Rhythms of lysis: viral regulation of prokaryotic turnover across diel cycles</b>

description: This dataset provides diel cycle measurements from the SEATS station in the South China Sea, including environmental parameters, microbial abundances, and dilution experiment results. It offers a resource to investigate microbial dynamics and top-down controls in oligotrophic ocean environments.
DOI: 10.6084/m9.figshare.29966620.v2
title: <b>Rhythms of lysis: viral regulation of prokaryotic turnover across diel cycles</b>

description: This dataset accompanies the manuscript “Rhythms of lysis: viral regulation of prokaryotic turnover across diel cycles” and contains all non-SRA data used in the analyses. Samples were collected at two oligotrophic time-series stations (SEATS and SS1) in the South China Sea during August 2023.<br>Environmental_metadata.xlsx provides station, date and time, depth, latitude and longitude, hydrographic variables (temperature, salinity, dissolved oxygen), fluorescence, photosynthetically active radiation (PAR), nutrient concentrations (NO₂⁻, NO₃⁻, PO₄³⁻, SiO₃²⁻), and abundances of heterotrophic bacteria, Synechococcus and Prochlorococcus.Additional worksheets summarize the acrophases (peak times) of diel periodicity in cell abundances for different microbial groups at SEATS and SS1.ASV_metadata.xlsx contains 16S rRNA amplicon sequence variant (ASV) tables and taxonomy; rows are ASVs and columns are samples for the rDNA<sub>cell</sub>, rRNA<sub>cell</sub> and rRNA<sub>ext</sub> fractions.Dilution experiment data.xlsx reports cell abundances of heterotrophic bacteria and Synechococcus for each dilution treatment and time point (0, 6, 12, 18, 24 h) in the modified dilution experiments at SEATS and SS1.group.txt lists the sample group assignments (e.g. LOWDAY, LOWNIGHT, HIGHDAY, HIGHNIGHT) used in downstream analyses.seven lysis group of ASV.R and WGCNA-diel ASVs.R are R scripts that reproduce the seven lysis-group classification, CLI calculations, WGCNA and the associated figures.
DOI: 10.5281/zenodo.17946055
title: Low-Temperature Electrochemical Synthesis of Cubic Carbon Nitride via Co-Oxidation in Molten LiCl-KCl

description: Raw and minimally processed data supporting “Low‑Temperature Electrochemical Synthesis of Cubic Carbon Nitride via Co‑Oxidation in Molten LiCl–KCl”.

Modalities: electrochemistry (vs Ag/AgCl), Raman, XRD.Modalities: electrochemistry (vs Ag/AgCl), Raman, XRD.

Detailed conditions (bath, optics, calibration) are described in the manuscript (Materials & Methods).
DOI: 10.5281/zenodo.17946056
title: Low-Temperature Electrochemical Synthesis of Cubic Carbon Nitride via Co-Oxidation in Molten LiCl-KCl

description: Raw and minimally processed data supporting “Low‑Temperature Electrochemical Synthesis of Cubic Carbon Nitride via Co‑Oxidation in Molten LiCl–KCl”.

Modalities: electrochemistry (vs Ag/AgCl), Raman, XRD.Modalities: electrochemistry (vs Ag/AgCl), Raman, XRD.

Detailed conditions (bath, optics, calibration) are described in the manuscript (Materials & Methods).
DOI: 10.5281/zenodo.13368071
title: A schistosomiasis dataset with bright- and darkfield images
DOI: 10.5281/zenodo.13368072
title: A schistosomiasis dataset with bright- and darkfield images
DOI: 10.5281/zenodo.17229904
title: Earthquake catalog and seismicity cross sections for "Earthquake catalog for the Fairbanks region of central Alaska, 2014–2024, based on waveform cross-correlation"

description: This collection of files is a supplement to a submitted manuscript. The collection contains a text file of the seismicity catalog, as well as vertical cross sections.
DOI: 10.5281/zenodo.17946085
title: Earthquake catalog and seismicity cross sections for "Earthquake catalog for the Fairbanks region of central Alaska, 2014–2024, based on waveform cross-correlation"

description: This collection of files is a supplement to a submitted manuscript. The collection contains a text file of the seismicity catalog, as well as vertical cross sections.
DOI: 10.15468/dl.ez5dmb
title: Occurrence Download

description: A dataset containing 473 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.37146 -21.08422,-77.82588 -49.56219,-71.37146 -58.37874,-68.29793 -23.36021,-71.37146 -21.08422))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Squalus acanthias"
 ]
}

 The dataset includes 473 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054148-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ydsa6
title: Occurrence Download

description: A dataset containing 6026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-80.51985 42.32713,-83.06931 41.86422,-82.12297 43.59083,-82.52064 45.3359,-84.12892 46.53012,-88.36986 48.30606,-91.71523 48.1993,-95.15371 48.9989,-97.22844 49.00067,-96.4531 45.30075,-96.63875 42.7375,-94.60715 39.10559,-94.48588 33.63787,-93.50829 31.03235,-93.77015 29.67083,-90.97029 29.00503,-88.92781 29.11728,-87.59883 30.99746,-85.0025 31.00069,-85.60516 34.98468,-81.6469 36.61192,-83.67539 36.60078,-80.82972 39.71404,-80.51985 42.32713))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Scolopax minor",
 "Year 2015-2015"
 ]
}

 The dataset includes 6026 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054149-251120083545085/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.30889145
title: Data and model for NVEMBED

description: Data and model for the NVEMBED model
DOI: 10.6084/m9.figshare.30889145.v1
title: Data and model for NVEMBED

description: Data and model for the NVEMBED model
DOI: 10.6084/m9.figshare.30866342
title: <b>European Coastal Deformation and Climate Hazard Exposure: Supporting Datasets for Coastal Risk Analysis</b>

description: This dataset serves as supporting material for the paper <i>“European coastal deformation drives unequal exposure to climate hazards”</i>, compiling key quantitative data linked to the study’s analysis of climate risk disparities across European coasts. <br><br>It includes Excel-formatted datasets that capture:<br>Patterns of coastal subsidence related to land use;Spatial distributions of exposure, including area, population, buildings, and assets in coastal zones;Socioeconomic gradients across high-risk areas, such as salary levels;Demographic vulnerability metrics, including the age structure of coastal populations;Observational records from tidal stations.These data collectively quantify the interactions between coastal deformation, human systems, and climate hazard exposure, enabling a comprehensive assessment of unequal risk profiles across Europe’s coasts.In addition, the repository contains:<b>Europe_Computational_Data</b>: datasets generated and calculated during the experimental and computational analysis stages of the study;<b>egms_get</b>: the code used to download European Vertical Land Motion (VLM) data from the European Ground Motion Service.
DOI: 10.6084/m9.figshare.30866342.v2
title: <b>European Coastal Deformation and Climate Hazard Exposure: Supporting Datasets for Coastal Risk Analysis</b>

description: This dataset serves as supporting material for the paper <i>"European coastal deformation drives unequal exposure to climate hazards"</i>, compiling key quantitative data linked to the study’s analysis of climate risk disparities across European coasts. It includes Excel-formatted datasets that capture patterns of coastal subsidence (tied to land use), spatial distributions of exposure (covering area, population, buildings, and assets in coastal zones), socioeconomic gradients (salary levels) across high-risk areas, demographic vulnerability metrics (age structure of coastal populations), and observational records from tidal stations. Together, these data quantify the interactions between coastal deformation, human systems, and climate hazard exposure that shape unequal risk profiles across the region.
DOI: 10.6084/m9.figshare.30866342.v3
title: <b>European Coastal Deformation and Climate Hazard Exposure: Supporting Datasets for Coastal Risk Analysis</b>

description: This dataset serves as supporting material for the paper <i>“European coastal deformation drives unequal exposure to climate hazards”</i>, compiling key quantitative data linked to the study’s analysis of climate risk disparities across European coasts. <br><br>It includes Excel-formatted datasets that capture:<br>Patterns of coastal subsidence related to land use;Spatial distributions of exposure, including area, population, buildings, and assets in coastal zones;Socioeconomic gradients across high-risk areas, such as salary levels;Demographic vulnerability metrics, including the age structure of coastal populations;Observational records from tidal stations.These data collectively quantify the interactions between coastal deformation, human systems, and climate hazard exposure, enabling a comprehensive assessment of unequal risk profiles across Europe’s coasts.In addition, the repository contains:<b>Europe_Computational_Data</b>: datasets generated and calculated during the experimental and computational analysis stages of the study;<b>egms_get</b>: the code used to download European Vertical Land Motion (VLM) data from the European Ground Motion Service.
DOI: 10.15468/dl.axdzjc
title: Occurrence Download

description: A dataset containing 19365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.80121 1.32199,-80.01551 0.77013,-80.82505 -2.30179,-79.48196 -2.44885,-80.45708 -4.21205,-79.11399 -4.90898,-75.47108 -0.09458,-78.80121 1.32199))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 19365 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054150-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zek2xp
title: Occurrence Download

description: A dataset containing 8944 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((111.33672 -3.40757,112.29506 -3.40757,112.29506 -2.34589,111.33672 -2.34589,111.33672 -3.40757))"
 ]
}

 The dataset includes 8944 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054152-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.16659.54569
title: Acute myocardial infarction in a dog: a case report
DOI: 10.34740/kaggle/dsv/14170218
title: SOLANA Price Data Binance API (2020–Now)
DOI: 10.15468/dl.3s7nbn
title: Occurrence Download

description: A dataset containing 638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Macao, Hong Kong, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Buddleja officinalis"
 ]
}

 The dataset includes 638 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054153-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cnzr35
title: Occurrence Download

description: A dataset containing 465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lantana camara"
 ]
}

 The dataset includes 465 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054154-251120083545085/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.30178588
title: AtomGraph

description: <i>Automated Atomicity Violation Detection for Smart Contracts</i>
DOI: 10.6084/m9.figshare.30178588.v1
title: AtomGraph

description: <i>Automated Atomicity Violation Detection for Smart Contracts</i>
DOI: 10.15468/dl.2n7tpx
title: Occurrence Download

description: A dataset containing 4736 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lantana camara"
 ]
}

 The dataset includes 4736 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054157-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17946071
title: Seasonal variability as a driver of soil carbon stability, microbial functions, and soil quality indices across land-use systems in semiarid regions

description: Raw data set related to the manuscript entitled “Seasonal variability as a driver of soil carbon stability, microbial functions, and soil quality indices across land-use systems in semiarid regions,” submitted for publication in the journal Catena.
DOI: 10.5281/zenodo.17946072
title: Seasonal variability as a driver of soil carbon stability, microbial functions, and soil quality indices across land-use systems in semiarid regions

description: Raw data set related to the manuscript entitled “Seasonal variability as a driver of soil carbon stability, microbial functions, and soil quality indices across land-use systems in semiarid regions,” submitted for publication in the journal Catena.
DOI: 10.15468/dl.67h7we
title: Occurrence Download

description: A dataset containing 8944 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((111.33672 -3.40757,112.29506 -3.40757,112.29506 -2.34589,111.33672 -2.34589,111.33672 -3.40757))"
 ]
}

 The dataset includes 8944 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054158-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.