cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14501487.v1
title: 06_family_predictions_using_SiLiX

description: Data related to the paper Giant Viruses Encode Actin-Related Proteins<br><br>
DOI: 10.34943/2d6137fd-baae-4cdb-b16b-8e0b279e654e
title: Quadra Island Accelerometer Deployed 2021-12-10

description: The Nanometrics Titan SMA (S/N 001573) was deployed on 2021-12-10 at Quadra Island. Quadra Island is an island off the eastern coast of Vancouver Island. This device is a Accelerometer. Accelerometers are instruments that measure accelerations. Acceleration can be static such as gravity pulling objects toward the earth, or dynamic as caused by oscillatory movements of the instrument. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.19139714
title: Raw data of ESBL-E in retail sheep meat

description: <b>Prevalence of extended-</b><b>spectrum <i>β</i>-</b><b>lactamase-producing <i>Enterobacteriaceae</i> in retail sheep meat from Zagazig city, Egypt</b>
DOI: 10.6084/m9.figshare.19139714.v1
title: Raw data of ESBL-E in retail sheep meat

description: <b>Prevalence of extended-</b><b>spectrum <i>β</i>-</b><b>lactamase-producing <i>Enterobacteriaceae</i> in retail sheep meat from Zagazig city, Egypt</b>
DOI: 10.6084/m9.figshare.16727251.v2
title: A Survey on How Test Flakiness Affects Developers and What Support They Need To Address It

description: Replication Dataset for the research paper "A Survey on How Test Flakiness Affects Developers and What Support They Need To Address It", which was presented at the 15th IEEE International Conference on Software Testing, Verification and Validation (ICST) 2022
DOI: 10.6084/m9.figshare.16727251.v3
title: A Survey on How Test Flakiness Affects Developers and What Support They Need To Address It

description: Replication Dataset for the research paper "A Survey on How Test Flakiness Affects Developers and What Support They Need To Address It", which was presented at the 15th IEEE International Conference on Software Testing, Verification and Validation (ICST) 2022
DOI: 10.6084/m9.figshare.12453821
title: 05_PROTEINS_Predicted_pdb_EL-actin_clade

description: pdb file of the obteined predicted structure using Phyre2 of a representative of each viractin and new EL-actin clade<br>
DOI: 10.6084/m9.figshare.12453821.v1
title: 05_PROTEINS_Predicted_pdb_EL-actin_clade

description: pdb file of the obteined predicted structure using Phyre2 of a representative of each viractin and new EL-actin clade<br>
DOI: 10.5066/p9t75rnv
title: Survival, reproduction, and weight of Neocloeon triangulifer after short and long-term exposures to nickel and zinc

description: Dataset consists of 4-day, 14-day, and full life responses of laboratory cultured mayflies (Neocloeon triangulifer) to nickel and zinc exposure. Responses were measured as mortality, body weight, development time, and reproduction. Water quality and analytical chemistry results associated with toxicity data are included. Additional data included are results of experiments assessing proportion of dissolved metal to nominal metal as influenced by the ratio of diatom diet dry mass present per volume of water.
DOI: 10.6084/m9.figshare.12453623
title: 03_TREES_Figures

description: For each phylogenetic tree you will the obtained tree and for tbe analysis the differents boottress<br><br>
DOI: 10.6084/m9.figshare.12453623.v1
title: 03_TREES_Figures

description: For each phylogenetic tree you will the obtained tree and for tbe analysis the differents boottress<br><br>
DOI: 10.6084/m9.figshare.12453611
title: 04_SUMMARY_SEQUENCES_EL-actin_clade

description: Data related to the paperGiant Viruses Encode Actin-Related Proteins<br>
DOI: 10.6084/m9.figshare.12453611.v1
title: 04_SUMMARY_SEQUENCES_EL-actin_clade

description: Data related to the paperGiant Viruses Encode Actin-Related Proteins<br>
DOI: 10.6084/m9.figshare.19139732.v1
title: Piezometers_timeseries_2017-2020_JPMARCHAND.csv

description: Datasets on piezometer water levels at the Petit-Pot-au-Beurre (PB) and ruisseau Martin (RM) sites in Quebec (Canada). The piezometer ID corresponds to those in Marchand et al. (in review),
DOI: 10.6084/m9.figshare.19139732
title: Piezometers_timeseries_2017-2020_JPMARCHAND.csv

description: Datasets on piezometer water levels at the Petit-Pot-au-Beurre (PB) and ruisseau Martin (RM) sites in Quebec (Canada). The piezometer ID corresponds to those in Marchand et al. (in review),
DOI: 10.34740/kaggle/dsv/3157598
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.3886/e130341v3
title: Data and Code for: Intergenerational Economic Mobility and the Racial Wealth Gap

description: A growing body of research documents the importance of wealth and the racial wealth gap in perpetuating inequality across generations. We add to this literature by examining the impact of wealth on child income. Our two stage least squares regressions reveal that grandparental and parental wealth have an important effect on the younger generation’s stock (first stage results), which in turn affects the younger generation’s household income (second stage results). We further explore the relationship between income and wealth by decomposing the child’s income by race. We find that the intergroup disparity in income is mainly attributable to differences in family background. These findings indicate that wealth is an important source of income inequality.<br>
DOI: 10.6084/m9.figshare.19139750
title: 试验组.xls

description: Secondary Adult <br> Hemophagocytic Syndrome
DOI: 10.6084/m9.figshare.19139750.v1
title: 试验组.xls

description: Secondary Adult <br> Hemophagocytic Syndrome
DOI: 10.25405/data.ncl.19137473
title: dataset - bioprinting cell-laden hydrogels onto Ti alloy surfaces

description: Data underpinning figures from paper "Bioprinting of cell-laden hydrogels onto titanium alloy surfaces to produce a bioactive interface"
DOI: 10.25405/data.ncl.19137473.v1
title: dataset - bioprinting cell-laden hydrogels onto Ti alloy surfaces

description: Data underpinning figures from paper "Bioprinting of cell-laden hydrogels onto titanium alloy surfaces to produce a bioactive interface"
DOI: 10.5281/zenodo.6006654
title: Collected metadata for masses in the early Cappella Sistina choirbooks

description: This dataset contains a collection of metadata about the early Cappella Sistina choirbooks, once belonging to the Papal Chapel. It presents the mass compositions contained in the manuscript sources V-CVbav MS 14, 23, 35, 41, 49, 51, 63, 197, 64 and concordant sources of these. The data has been collected in the year 2015 and hasn't been double-checked by any other person. Even though the data was collected as conscientiously as possible, it is sometimes incomplete and errors are also possible. The data as well as the data structure has been collected mostly in German. References for this metadata collection can be found under <code>./references</code>. This data has been used already in: Plaksin, Anna Viktoria Katrin: "Modelle zur computergestützten Analyse von Überlieferungen der Mensuralmusik. Emprische Textforschung im Kontext phylogenetischer Verfahren.", Münster, 2021 (Schriften zur Musikwissenschaft aus Münster 27), online: urn:nbn🇩🇪hbz:6-59029717067, DOI: 10.26083/tuprints-00017211 The repo for this dataset can be found here: https://github.com/annplaksin/earlyCappSistMasses This release contains the slightly updated version that has been used in 10.26083/tuprints-00017211: SQL dump has been changed from MySQL to SQLite dialect Views have been updated PKs have been updated to ensure database-wide uniqueness (in a very basic way). <strong>Contents</strong> The SQLite database set is found under <code>./sql</code>. It contains not only the tables but various views for a better overview. For opening and viewing the sql data, tools like e.g. the DB Browser for SQLite can be used. The <code>./csv</code> folder contains csv exports of the tables and views. In <code>./networkData</code> contains the relations of works and sources as bipartite network in <code>.csv</code> format. The edges are available as edge list or as adjacency matrix. The node list contains very basic information necessary for identification. Please note, this is the raw exported data for analysis.
description: Matches https://github.com/annplaksin/earlyCappSistMasses/releases/tag/v1.0.0
DOI: 10.5281/zenodo.6006653
title: Collected metadata for masses in the early Cappella Sistina choirbooks

description: This dataset contains a collection of metadata about the early Cappella Sistina choirbooks, once belonging to the Papal Chapel. It presents the mass compositions contained in the manuscript sources V-CVbav MS 14, 23, 35, 41, 49, 51, 63, 197, 64 and concordant sources of these. The data has been collected in the year 2015 and hasn't been double-checked by any other person. Even though the data was collected as conscientiously as possible, it is sometimes incomplete and errors are also possible. The data as well as the data structure has been collected mostly in German. References for this metadata collection can be found under <code>./references</code>. This data has been used already in: Plaksin, Anna Viktoria Katrin: "Modelle zur computergestützten Analyse von Überlieferungen der Mensuralmusik. Emprische Textforschung im Kontext phylogenetischer Verfahren.", Münster, 2021 (Schriften zur Musikwissenschaft aus Münster 27), online: urn:nbn🇩🇪hbz:6-59029717067, DOI: 10.26083/tuprints-00017211 The repo for this dataset can be found here: https://github.com/annplaksin/earlyCappSistMasses This release contains the slightly updated version that has been used in 10.26083/tuprints-00017211: SQL dump has been changed from MySQL to SQLite dialect Views have been updated PKs have been updated to ensure database-wide uniqueness (in a very basic way). <strong>Contents</strong> The SQLite database set is found under <code>./sql</code>. It contains not only the tables but various views for a better overview. For opening and viewing the sql data, tools like e.g. the DB Browser for SQLite can be used. The <code>./csv</code> folder contains csv exports of the tables and views. In <code>./networkData</code> contains the relations of works and sources as bipartite network in <code>.csv</code> format. The edges are available as edge list or as adjacency matrix. The node list contains very basic information necessary for identification. Please note, this is the raw exported data for analysis.
description: Matches https://github.com/annplaksin/earlyCappSistMasses/releases/tag/v1.0.0
DOI: 10.6084/m9.figshare.19139816
title: Piezometers_timeseries_2017-2020_JPMARCHAND.csv

description: Datasets on piezometer water levels at the Petit-Pot-au-Beurre (PB) and ruisseau Martin (RM) sites in Quebec (Canada). The piezometer ID corresponds to those in Marchand et al. (in review)
DOI: 10.6084/m9.figshare.19139816.v1
title: Piezometers_timeseries_2017-2020_JPMARCHAND.csv

description: Datasets on piezometer water levels at the Petit-Pot-au-Beurre (PB) and ruisseau Martin (RM) sites in Quebec (Canada). The piezometer ID corresponds to those in Marchand et al. (in review)
DOI: 10.6084/m9.figshare.16968301
title: Effects of plant diversity and leaf traits on insect herbivory in plantation and natural forests

description: Data from: Martini et al. 2022. Effects of plant diversity and leaf traits on insect herbivory in plantation and natural forests. Forest Ecology and Management
DOI: 10.6084/m9.figshare.16968301.v2
title: Effects of plant diversity and leaf traits on insect herbivory in plantation and natural forests

description: Data from: Martini et al. 2022. Effects of plant diversity and leaf traits on insect herbivory in plantation and natural forests. Forest Ecology and Management
DOI: 10.6084/m9.figshare.16968301.v1
title: Effects of plant diversity and leaf traits on insect herbivory in plantation and natural forests

description: Data from: Martini et al. 2022. Effects of plant diversity and leaf traits on insect herbivory in plantation and natural forests. Forest Ecology and Management
DOI: 10.5281/zenodo.5992621
title: Detection of the Fire Drill anti-pattern: 15 real-world projects with ground truth, issue-tracking data, source code density, models and code

description: This package contains artifacts for <strong>15</strong> real-world software projects. The data is supposed to aid the detection of the presence of the Fire Drill anti-pattern. We include data, ground truth, code (experimental setups and models), and notebooks. The data supports two distinct methods of detecting the AP: a) through issue-tracking data, and b) through the underlying source code. Therefore, this package includes the following: Fire Drill in issue-tracking data: <strong>Ground truth</strong> for whether and how strong each project exhibits the Fire Drill AP, on a scale from [0,10]. This was determined by two individual raters, who also reached a consensus. Coefficients for indicators for the first method, per project. Detailed issue-tracing data for each project: what occurred and when. Time logs for each project. Fire Drill in source-code data: <strong>Four</strong> technical reports that document the developed method of how to translate a description into a detectable pattern, and to use the pattern to detect the presence and to score it (similar to the rating). Also includes a report for how activities were assigned to individual commits. Source code density data (metrics) for each commit in each of the nine projects as a separate dataset. Code: a snapshot of the repository that holds all code, models, notebooks, and pre-computed results, for utmost reproducibility (the code is written in R).
description: The repository for the source code based method is at: https://github.com/sse-lnu/anti-pattern-models
DOI: 10.5284/1090416
title: Fractured Britannia - Material culture from late Roman Britain

description: The material presented here is the result of data collection on a range of object types from late Roman Britain. They have been compiled as part of a doctoral study at the University of Reading. The corpuses include spatial data recorded to parish level and consist of: Crossbow brooches; Penannular brooches; Belt fittings; Combs; Bracelets; Coins; Hoards
DOI: 10.5281/zenodo.6010767
title: Plasmid sequence of cpX

description: Sequence of plasmid
DOI: 10.5281/zenodo.6010766
title: Plasmid sequence of cpX

description: Sequence of plasmid
DOI: 10.6084/m9.figshare.14977185
title: Data from: Combining Genomic, Phenotypic and Sanger Sequencing Data to Elucidate the Phylogeny of the Two-Clawed Spiders (Dionycha)

description: This folder contains the empirical and simulated data, as well as the scripts used for simulations presented in the paper Azevedo, G. H., Bougie, T., Carboni, M., Hedin, M., & Ramírez, M. J. (2022). Combining genomic, phenotypic and Sanger sequencing data to elucidate the phylogeny of the two-clawed spiders (Dionycha). <i>Molecular Phylogenetics and Evolution</i>, <i>166</i>, 107327. <br>
DOI: 10.5281/zenodo.5796340
title: Dataset for Electron Precipitation Curtains – Simulating the Microburst Origin Hypothesis by T.P. O'Brien et al. submitted to J. Geophysical Res.

description: Technical reports and data sets for the the paper Electron Precipitation Curtains – Simulating the Microburst Origin Hypothesis. Additional AC6 information can be found at rbspgwy.jhuapl.edu/ac6 and at spdf.gsfc.nasa.gov/pub/data/aaa_smallsats_cubesats/aerocube/aerocube-6/. AC6 data have also been ingested into the main CDAWeb database at cdaweb.gsfc.nasa.gov. Source code related to this data set can be found at https://github.com/tpoiii/dipole_tracer_ac6, or DOI: 10.5281/zenodo.6011631.
DOI: 10.5281/zenodo.5796339
title: Dataset for Electron Precipitation Curtains – Simulating the Microburst Origin Hypothesis by T.P. O'Brien et al. submitted to J. Geophysical Res.

description: Technical reports and data sets for the the paper Electron Precipitation Curtains – Simulating the Microburst Origin Hypothesis. Additional AC6 information can be found at rbspgwy.jhuapl.edu/ac6 and at spdf.gsfc.nasa.gov/pub/data/aaa_smallsats_cubesats/aerocube/aerocube-6/. AC6 data have also been ingested into the main CDAWeb database at cdaweb.gsfc.nasa.gov. Source code related to this data set can be found at https://github.com/tpoiii/dipole_tracer_ac6, or DOI: 10.5281/zenodo.6011631.
DOI: 10.5281/zenodo.6011200
title: Global MODIS-based snow cover monthly long-term (2000-2012) at 500 m, and aggregated monthly values (2000-2020) at 1 km

description: The Global monthly snow cover repository contains multiple products (based on the MODIS/Terra MOD10A2): Global snow cover monthly long-term (2000–2012) P90 and standard deviation derived from the ESA CCI snow cover weekly product; Global snow cover monthly values P05, P50 and P95 for the period 2000–2020 derived using ESA snow cover fraction daily 1-km values; Min and max geometric temperatures for the mid-month (dtm_temp.max_geom.*_m_1km_s0..0cm_xxxx_epsg4326_v1.tif); Quantiles (probability either 0.05, 0.5, 0.9 and/or 0.95) have been derived by matching dates in the filenames (daily or weekly values). After deriving quantiles, gaps were filled using temporal neighbors (e.g. missing values for year 2002 were filled using average of values between year 2001 and 2003). The gaps were especially large for months of November, December, January and February, northern Hemisphere. Important note: maps still contain some artifacts due to high reflections of white-sands e.g. Salar de Uyuni desert in Bolivia and similar. Processing steps are available <strong>here</strong>. Antarctica is not included. To access and visualize global datasets use: <strong>https://openlandmap.org</strong> If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues All files provided as Cloud-Optimized GeoTIFFs / internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: clm = theme: climate, snow.cover = variable: snow cover fractions, esa.modis = data source ESA snow product, p.90 = upper 90% quantile, 1km = spatial resolution / block support: 1 km, s0..0cm = vertical reference: land surface, 2000..2012 = time reference aggregated: from 2000 to 2012, v1 = version number: 1,
description: {"references": ["Defourny, P., Kirches, G., Brockmann, C., Boettcher, M., Peters, M., Bontemps, S., ... & Santoro, M. (2012). Land cover CCI. Product User Guide Version, 2, 325.", "Hall, D. K. and G. A. Riggs. 2021. MODIS/Terra Snow Cover 8-Day L3 Global 500m SIN Grid, Version 61. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: https://doi.org/10.5067/MODIS/MOD10A2.061. [Date Accessed]."]}
DOI: 10.5281/zenodo.5774953
title: Global MODIS-based snow cover monthly long-term (2000-2012) at 500 m, and aggregated monthly values (2000-2020) at 1 km

description: The Global monthly snow cover repository contains multiple products (based on the MODIS/Terra MOD10A2): Global snow cover monthly long-term (2000–2012) P90 and standard deviation derived from the ESA CCI snow cover weekly product; Global snow cover monthly values P05, P50 and P95 for the period 2000–2020 derived using ESA snow cover fraction daily 1-km values; Min and max geometric temperatures for the mid-month (dtm_temp.max_geom.*_m_1km_s0..0cm_xxxx_epsg4326_v1.tif); Quantiles (probability either 0.05, 0.5, 0.9 and/or 0.95) have been derived by matching dates in the filenames (daily or weekly values). After deriving quantiles, gaps were filled using temporal neighbors (e.g. missing values for year 2002 were filled using average of values between year 2001 and 2003). The gaps were especially large for months of November, December, January and February, northern Hemisphere. Important note: maps still contain some artifacts due to high reflections of white-sands e.g. Salar de Uyuni desert in Bolivia and similar. Processing steps are available <strong>here</strong>. Antarctica is not included. To access and visualize global datasets use: <strong>https://openlandmap.org</strong> If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues All files provided as Cloud-Optimized GeoTIFFs / internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: clm = theme: climate, snow.cover = variable: snow cover fractions, esa.modis = data source ESA snow product, p.90 = upper 90% quantile, 1km = spatial resolution / block support: 1 km, s0..0cm = vertical reference: land surface, 2000..2012 = time reference aggregated: from 2000 to 2012, v1 = version number: 1,
description: {"references": ["Defourny, P., Kirches, G., Brockmann, C., Boettcher, M., Peters, M., Bontemps, S., ... & Santoro, M. (2012). Land cover CCI. Product User Guide Version, 2, 325.", "Hall, D. K. and G. A. Riggs. 2021. MODIS/Terra Snow Cover 8-Day L3 Global 500m SIN Grid, Version 61. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: https://doi.org/10.5067/MODIS/MOD10A2.061. [Date Accessed]."]}
DOI: 10.5281/zenodo.6011786
title: Machine-Learning of Aerosol-Cloud-Climate Interactions Reveals an increased Cloud Fraction

description: Data presented in the manuscript "Machine-Learning of Aerosol-Cloud-Climate Interactions Reveals an increased Cloud Fraction" by Chen et al. (2022).
DOI: 10.5281/zenodo.6011785
title: Machine-Learning of Aerosol-Cloud-Climate Interactions Reveals an increased Cloud Fraction

description: Data presented in the manuscript "Machine-Learning of Aerosol-Cloud-Climate Interactions Reveals an increased Cloud Fraction" by Chen et al. (2022).
DOI: 10.18118/g60090
title: Reconnaissance Following the August 14, 2021 Haiti Earthquake: Perspective from Geotechnical Engineering and Social/Political Sciences