cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2465688
title: Data from: Tracking the popularity and outcomes of all bioRxiv preprints

description: The data used to generate figures in the manuscript titled "Tracking the popularity and outcome of all bioRxiv preprints," posted to bioRxiv 13 Jan 2019.


	<strong>22 Mar 2019:</strong> PDFs of each figure from the paper have been added to the repository. In addition, the license has been changed from CC-BY-NC to CC0.
DOI: 10.5281/zenodo.2529923
title: Complete Rxivist dataset of scraped bioRxiv data

description: rxivist.org allows readers to sort and filter the tens of thousands of preprints posted to bioRxiv. Rxivist uses a custom web crawler to index all papers on biorxiv.org; this is a snapshot of Rxivist the production database. The version number indicates the date on which the snapshot was taken. See the included "figures.md" file (or on GitHub) for instructions on how to use the "rxivist.backup" file to import data into a PostgreSQL database server.

Please note this is a different repository than the one used for the Rxivist manuscript—that is in a separate Zenodo repository.
DOI: 10.5281/zenodo.2544998
title: Complete Rxivist dataset of scraped bioRxiv data

description: rxivist.org allows readers to sort and filter the tens of thousands of preprints posted to bioRxiv. Rxivist uses a custom web crawler to index all papers on biorxiv.org; this is a snapshot of Rxivist the production database. The version number indicates the date on which the snapshot was taken. See the included "figures.md" file (or on GitHub) for instructions on how to use the "rxivist.backup" file to import data into a PostgreSQL database server.

Please note this is a different repository than the one used for the Rxivist manuscript—that is in a separate Zenodo repository. You're welcome (and encouraged!) to use this data in your research, but <strong>please cite our paper, available on bioRxiv.</strong>
DOI: 10.5281/zenodo.2563420
title: Complete Rxivist dataset of scraped bioRxiv data

description: rxivist.org allows readers to sort and filter the tens of thousands of preprints posted to bioRxiv. Rxivist uses a custom web crawler to index all papers on biorxiv.org; this is a snapshot of Rxivist the production database. The version number indicates the date on which the snapshot was taken. See the included "figures.md" file (or on GitHub) for instructions on how to use the "rxivist.backup" file to import data into a PostgreSQL database server.

Please note this is a different repository than the one used for the Rxivist manuscript—that is in a separate Zenodo repository. You're welcome (and encouraged!) to use this data in your research, but <strong>please cite our paper, available on bioRxiv.</strong>
DOI: 10.5281/zenodo.2563424
title: Complete Rxivist dataset of scraped bioRxiv data

description: rxivist.org allows readers to sort and filter the tens of thousands of preprints posted to bioRxiv. Rxivist uses a custom web crawler to index all papers on biorxiv.org; this is a snapshot of Rxivist the production database. The version number indicates the date on which the snapshot was taken. See the included "README.md" file for instructions on how to use the "rxivist.backup" file to import data into a PostgreSQL database server.

Please note this is a different repository than the one used for the Rxivist manuscript—that is in a separate Zenodo repository. You're welcome (and encouraged!) to use this data in your research, but <strong>please cite our paper, available on bioRxiv.</strong>

Going forward, this information will also be available pre-loaded into Docker images, available at blekhmanlab/rxivist_data.

<strong>Version notes:</strong>


	<strong>2019-02-13</strong>

	
		The redundant "paper" schema has been removed.
		BioRxiv has begun making the full text of preprints available online. Beginning with this version, a new table ("fulltext") is available that contains the text of preprints that have been processed already. <strong>The format in which this information is stored may change in the future</strong>; any digression will be noted here.
		This is the first version that has a corresponding Docker image.
DOI: 10.5281/zenodo.2563989
title: Complete Rxivist dataset of scraped bioRxiv data

description: rxivist.org allows readers to sort and filter the tens of thousands of preprints posted to bioRxiv. Rxivist uses a custom web crawler to index all papers on biorxiv.org; this is a snapshot of Rxivist the production database. The version number indicates the date on which the snapshot was taken. See the included "README.md" file for instructions on how to use the "rxivist.backup" file to import data into a PostgreSQL database server.

Please note this is a different repository than the one used for the Rxivist manuscript—that is in a separate Zenodo repository. You're welcome (and encouraged!) to use this data in your research, but <strong>please cite our paper, available on bioRxiv.</strong>

Going forward, this information will also be available pre-loaded into Docker images, available at blekhmanlab/rxivist_data.

<strong>Version notes:</strong>


	<strong>2019-02-13.1</strong>

	
		After consultation with bioRxiv, the "fulltext" table will not be included in further snapshots until (and if) concerns about licensing and copyright can be resolved.
		The "docker-compose.yml" file was added, with corresponding instructions in the README to streamline deployment of a local copy of this database.
	
	
	<strong>2019-02-13</strong>
	
		The redundant "paper" schema has been removed.
		BioRxiv has begun making the full text of preprints available online. Beginning with this version, a new table ("fulltext") is available that contains the text of preprints that have been processed already. <strong>The format in which this information is stored may change in the future</strong>; any digression will be noted here.
		This is the first version that has a corresponding Docker image.
DOI: 10.5281/zenodo.2650252
title: Complete Rxivist dataset of scraped bioRxiv data

description: rxivist.org allows readers to sort and filter the tens of thousands of preprints posted to bioRxiv. Rxivist uses a custom web crawler to index all papers on biorxiv.org; this is a snapshot of Rxivist the production database. The version number indicates the date on which the snapshot was taken. See the included "README.md" file for instructions on how to use the "rxivist.backup" file to import data into a PostgreSQL database server.

Please note this is a different repository than the one used for the Rxivist manuscript—that is in a separate Zenodo repository. You're welcome (and encouraged!) to use this data in your research, but <strong>please cite our paper, now published in <em>eLife</em>.</strong>

Going forward, this information will also be available pre-loaded into Docker images, available at blekhmanlab/rxivist_data.

<strong>Version notes:</strong>


	<strong>2019-03-21</strong>

	
		The license for this dataset has been changed to CC-BY, which allows use for any purpose and requires only attribution.
		A new table, "publication_dates," has been added and will be continually updated. This table will include an entry for each preprint that has been published externally for which we can determine a date of publication, based on data from Crossref. (This table was previously included in the "paper" schema but was not updated after early December 2018.)
		Foreign key constraints have been added to almost every table in the database. This should not impact any read behavior, but anyone writing to these tables will encounter constraints on existing fields that refer to other tables. Most frequently, this means the "article" field in a table will need to refer to an ID that actually exists in the "articles" table.
		The "author_translations" table has been removed. This was used to redirect incoming requests for outdated author profile pages and was likely not of any functional use to others.
		The "README.md" file has been renamed "1README.md" because Zenodo only displays a preview for the file that appears first in the list alphabetically.
		The "article_ranks" and "article_ranks_working" tables have been removed as well; they were unused.
	
	
	<strong>2019-02-13.1</strong>
	
		After consultation with bioRxiv, the "fulltext" table will not be included in further snapshots until (and if) concerns about licensing and copyright can be resolved.
		The "docker-compose.yml" file was added, with corresponding instructions in the README to streamline deployment of a local copy of this database.
	
	
	<strong>2019-02-13</strong>
	
		The redundant "paper" schema has been removed.
		BioRxiv has begun making the full text of preprints available online. Beginning with this version, a new table ("fulltext") is available that contains the text of preprints that have been processed already. <strong>The format in which this information is stored may change in the future</strong>; any digression will be noted here.
		This is the first version that has a corresponding Docker image.
DOI: 10.6084/m9.figshare.22194220
title: Mass spectrometry source data in “The protease calpain2a limits Innate Immunity by Targeting TRAF6 in Teleost Fish”

description: TRAF6-associated proteins in innate immunity response in miiuy croaker
DOI: 10.6084/m9.figshare.22194220.v1
title: Mass spectrometry source data in “The protease calpain2a limits Innate Immunity by Targeting TRAF6 in Teleost Fish”

description: TRAF6-associated proteins in innate immunity response in miiuy croaker
DOI: 10.5281/zenodo.1323366
title: A database-driven approach sheds light on diterpene synthase diversification in Lamiaceae

description: Raw mass spectral data, NMR data, and code for generating figures in the paper with the same name, describing the functional characterization of 19 diterpene synthase enzymes from the plant family Lamiacea.
DOI: 10.5281/zenodo.1323365
title: A database-driven approach sheds light on diterpene synthase diversification in Lamiaceae

description: Raw mass spectral data, NMR data, and code for generating figures in the paper with the same name, describing the functional characterization of 19 diterpene synthase enzymes from the plant family Lamiacea.
DOI: 10.5523/bris.xfg77nkkatek2qqv8vz15qw30
title: Data for Robo-Squid paper - RoboSoft 2023

description: Data for paper: S. Firouznia, C. Xu, H. Philamore, J. Rossiter, Robo-Squid: Experimental investigation of pulsed jet propulsion based on magnetohydrodynamics, 2023 6th IEEE-RAS International Conference on Soft Robotics (ROBOSOFT)
DOI: 10.5523/bris.2xnkxqqa7r5cc2rwdauepmqkdq
title: Data for modular cellbot paper - RoboSoft 2023

description: Included here are data to support the paper: Ridhi Bansal, Helmut Hauser, Jonathan Rossiter, Self-reconfiguring Soft Modular Cellbots, 2023 IEEE International Conference on Soft Robotics (RoboSoft)
DOI: 10.34740/kaggle/ds/2954780
title: AdultoMayor_5_fc
DOI: 10.6084/m9.figshare.22194244
title: Parameters for spatial development scenario projection by scenarios

description: Parameters generated by MCMC-ABC calibration for spatial development scenario projection - in numpy npy format <br> paras_fourscenarios[0] - compact scenario parameters paras_fourscenarios[1] - medium compact scenario parameters paras_fourscenarios[0] - medium dispersed scenario parameters paras_fourscenarios[3] - dispersed scenario parameters <br> <br> seeds_fourscenarios[0] - compact scenario seeds seeds_fourscenarios[1] - medium compact scenario seeds seeds_fourscenarios[0] - medium dispersed scenario seeds seeds_fourscenarios[3] - dispersed scenario seeds
DOI: 10.6084/m9.figshare.22194244.v1
title: Parameters for spatial development scenario projection by scenarios

description: Parameters generated by MCMC-ABC calibration for spatial development scenario projection - in numpy npy format <br> paras_fourscenarios[0] - compact scenario parameters paras_fourscenarios[1] - medium compact scenario parameters paras_fourscenarios[0] - medium dispersed scenario parameters paras_fourscenarios[3] - dispersed scenario parameters <br> <br> seeds_fourscenarios[0] - compact scenario seeds seeds_fourscenarios[1] - medium compact scenario seeds seeds_fourscenarios[0] - medium dispersed scenario seeds seeds_fourscenarios[3] - dispersed scenario seeds
DOI: 10.34740/kaggle/dsv/5088560
title: Dataset, Images of symbols
DOI: 10.5519/qd.h34yhh6d
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.7688368
title: Data set for publication: Determination of Virulence-Associated Genes and Antimicrobial Resistance Profiles in Brucella Isolates Recovered from Humans and Animals in Iran Using NGS Technology

description: This dataset includes information on resistance profiling, as well as antimicrobial resistance (AMR) genes and virulence-related factors that were identified in <em>Brucella</em> isolates recovered from humans and animals in different regions of Iran using classical phenotyping and next-generation sequencing (NGS) technology.
description: The data have also been submitted to the European Nucleotide Archive (ENA). The project accession number is PRJEB50179.
DOI: 10.5281/zenodo.7688369
title: Data set for publication: Determination of Virulence-Associated Genes and Antimicrobial Resistance Profiles in Brucella Isolates Recovered from Humans and Animals in Iran Using NGS Technology

description: This dataset includes information on resistance profiling, as well as antimicrobial resistance (AMR) genes and virulence-related factors that were identified in <em>Brucella</em> isolates recovered from humans and animals in different regions of Iran using classical phenotyping and next-generation sequencing (NGS) technology.
description: The data have also been submitted to the European Nucleotide Archive (ENA). The project accession number is PRJEB50179.
DOI: 10.5519/qd.ygw7vxb3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.5281/zenodo.7592809
title: Database Publication - Exploring adult age-at-death research in anthropology: Bibliometric mapping and content analysis, Forensic Sciences, 2023

description: The dataset contains the publications' ID and DOI numbers used in the bibliometric analysis for the paper "Exploring adult age-at-death research in anthropology: Bibliometric mapping and content analysis," which was published in Forensic Sciences. Dimensions only granted the authors permission to disclose the publication IDs and DOIs for this study. However, using the identification codes, it is possible to extract titles' full metadata through Dimensions (https://www.dimensions.ai/).
DOI: 10.5281/zenodo.7592808
title: Database Publication - Exploring adult age-at-death research in anthropology: Bibliometric mapping and content analysis, Forensic Sciences, 2023

description: The dataset contains the publications' ID and DOI numbers used in the bibliometric analysis for the paper "Exploring adult age-at-death research in anthropology: Bibliometric mapping and content analysis," which was published in Forensic Sciences. Dimensions only granted the authors permission to disclose the publication IDs and DOIs for this study. However, using the identification codes, it is possible to extract titles' full metadata through Dimensions (https://www.dimensions.ai/).
DOI: 10.5281/zenodo.7682829
title: Supplementary Data for Manuscript : "Application of OSL surface exposure dating with the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy'

description: Contains all supplementary works mentioned in the manuscript.
DOI: 10.5281/zenodo.7682830
title: Supplementary Data for Manuscript : "Application of OSL surface exposure dating with the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy'

description: Contains all supplementary works mentioned in the manuscript.
DOI: 10.5281/zenodo.7688873
title: Supplementary Data for Manuscript : "Application of OSL surface exposure dating with the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy'

description: Contains all supplementary works mentioned in the manuscript.
DOI: 10.5281/zenodo.7688900
title: INTEGRAL observations of Terzan 5 X-3

description: This is the data set behind the astronomer's telegram #15921. https://www.astronomerstelegram.org/?read=15921 We report on X-ray spectral analysis of the transient source newly reported by MAXI in the direction of the globular cluster Terzan 5: MAXI J1747-249 (ATeL #15917), identified as Swift J174805.3-244637 or Terzan 5 X-3 (ATeL #15919). The IBIS/ISGRI and JEM-X1 instruments detected, at a significance exceeding 20 σ (IBIS), a transient X-ray source at RA=267.01 and Dec=-24.78, a location compatible with the one of Swift J174805.3-244637. We exploit the publicly available observations of this target performed between 2023-02-25 at 13:39 UT and 2023-02-27 at 16:18 to obtain a preliminary broad-band spectrum that can be described by an absorbed power law with spectral index Γ=2.77±0.09, n<sub>H</sub>=13±7 ×10<sup>22</sup> cm<sup>-2</sup> and 20-100 keV flux of ~2×10<sup>-9</sup> erg/s/cm<sup>2</sup> or about 100 mCrab (uncertainties are at 90% confidence level). The net exposure by IBIS/ISGRI is 30 ks and 19 ks for JEM-X. With the inclusion of the Swift spectra accumulated on 2023-02-28 between 19:53 and 20:03, the preferred model is a power law with exponential cutoff with parameters n<sub>H</sub>=3.9±0.6 ×10<sup>22</sup> cm<sup>-2</sup>, Γ=1.45(-0.12, +0.22), E<sub>C</sub>=6(-2,+3) keV, E<sub>F</sub>=34(-5, +8) keV. The relative normalizations have been left to vary between observations and are suggestive of a flux increase with time: the 1-6 keV power-law unabsorbed flux increased from 10<sup>-9</sup> to 2×10<sup>-9</sup> erg/s/cm<sup>2</sup> from 25 to 28 February 2023. This analysis made use of the MMODA platform. INTEGRAL products have been posted at this URL (available to registered users). Further INTEGRAL observations of the region around this source are expected in the coming days.
description: Use the Xspec command files inside the archive
description: {"references": ["https://www.astronomerstelegram.org/?read=15921"]}
DOI: 10.5281/zenodo.7688899
title: INTEGRAL observations of Terzan 5 X-3

description: This is the data set behind the astronomer's telegram #15921. https://www.astronomerstelegram.org/?read=15921 We report on X-ray spectral analysis of the transient source newly reported by MAXI in the direction of the globular cluster Terzan 5: MAXI J1747-249 (ATeL #15917), identified as Swift J174805.3-244637 or Terzan 5 X-3 (ATeL #15919). The IBIS/ISGRI and JEM-X1 instruments detected, at a significance exceeding 20 σ (IBIS), a transient X-ray source at RA=267.01 and Dec=-24.78, a location compatible with the one of Swift J174805.3-244637. We exploit the publicly available observations of this target performed between 2023-02-25 at 13:39 UT and 2023-02-27 at 16:18 to obtain a preliminary broad-band spectrum that can be described by an absorbed power law with spectral index Γ=2.77±0.09, n<sub>H</sub>=13±7 ×10<sup>22</sup> cm<sup>-2</sup> and 20-100 keV flux of ~2×10<sup>-9</sup> erg/s/cm<sup>2</sup> or about 100 mCrab (uncertainties are at 90% confidence level). The net exposure by IBIS/ISGRI is 30 ks and 19 ks for JEM-X. With the inclusion of the Swift spectra accumulated on 2023-02-28 between 19:53 and 20:03, the preferred model is a power law with exponential cutoff with parameters n<sub>H</sub>=3.9±0.6 ×10<sup>22</sup> cm<sup>-2</sup>, Γ=1.45(-0.12, +0.22), E<sub>C</sub>=6(-2,+3) keV, E<sub>F</sub>=34(-5, +8) keV. The relative normalizations have been left to vary between observations and are suggestive of a flux increase with time: the 1-6 keV power-law unabsorbed flux increased from 10<sup>-9</sup> to 2×10<sup>-9</sup> erg/s/cm<sup>2</sup> from 25 to 28 February 2023. This analysis made use of the MMODA platform. INTEGRAL products have been posted at this URL (available to registered users). Further INTEGRAL observations of the region around this source are expected in the coming days.
description: Use the Xspec command files inside the archive
description: {"references": ["https://www.astronomerstelegram.org/?read=15921"]}
DOI: 10.5281/zenodo.7244360
title: MAESTRO Real - Multi-Annotator Estimated Strong Labels

description: The dataset was created for studying estimation of strong labels using crowdsourcing. It contains 49 real-life audio files from 5 different acoustic scenes, and the annotation outcome. Annotation was performed using Amazon Mechanical Turk. Total duration of the dataset is 189 minutes and 52 seconds Audio files are a subset from TUT Acoustic Scenes 2016 dataset, belonging to five acoustic scenes: cafe/restaurant, city center, grocery store, metro station and residential area. Each scene have 6 classes, some of them are common to all the scenes, resulting into 17 classes in total. <br> The dataset contains: audio: the 49 real-life recordings, each from 3 to 5 min long. soft labels: estimated strong labels from the crowdsourced data, values between 0 and 1 indicates the uncertainty of the annotators. For more details about the real-life recordings, please see the following paper: A. Mesaros, T. Heittola and T. Virtanen, "TUT database for acoustic scene classification and sound event detection," <em>2016 24th European Signal Processing Conference (EUSIPCO)</em>, 2016, pp. 1128-1132.
DOI: 10.5281/zenodo.7244359
title: MAESTRO Real - Multi-Annotator Estimated Strong Labels

description: The dataset was created for studying estimation of strong labels using crowdsourcing. It contains 49 real-life audio files from 5 different acoustic scenes, and the annotation outcome. Annotation was performed using Amazon Mechanical Turk. Total duration of the dataset is 189 minutes and 52 seconds Audio files are a subset from TUT Acoustic Scenes 2016 dataset, belonging to five acoustic scenes: cafe/restaurant, city center, grocery store, metro station and residential area. Each scene have 6 classes, some of them are common to all the scenes, resulting into 17 classes in total. <br> The dataset contains: audio: the 49 real-life recordings, each from 3 to 5 min long. soft labels: estimated strong labels from the crowdsourced data, values between 0 and 1 indicates the uncertainty of the annotators. For more details about the real-life recordings, please see the following paper: A. Mesaros, T. Heittola and T. Virtanen, "TUT database for acoustic scene classification and sound event detection," <em>2016 24th European Signal Processing Conference (EUSIPCO)</em>, 2016, pp. 1128-1132.
DOI: 10.5523/bris.sju7uasr7e2b2n518hk72p3ur
title: Sampling algorithms in statistical physics: a guide for statistics and machine learning
title: Sampling algorithms in statistical physics

description: This directory contains the research data published in the paper by Michael F. Faulkner and Samuel Livingstone entitled: Sampling algorithms in statistical physics: a guide for statistics and machine learning
DOI: 10.6084/m9.figshare.21762596
title: Raw data for the project 'NAD+ treatment on CHO cells'

description: Raw data for the project 'NAD+ treatment on CHO cells'
DOI: 10.6084/m9.figshare.21762596.v1
title: Raw data for the project 'NAD+ treatment on CHO cells'

description: Raw data for the project 'NAD+ treatment on CHO cells'
DOI: 10.5258/soton/wp00758
title: Gridded population estimates for Turkey using UN COD-PS estimates 2021, version 1.0

description: These data were produced by WorldPop at the University of Southampton. These data include gridded estimates of population at approximately 100m for 2021, along with estimates of the number of people belonging to individual age-sex groups. These results were produced using subnational population estimates for Turkey in 2021 provided in the Common Operational Dataset on Population Statistics (COD-PS) and built-up surfaces/volumes/height covariates extracted from GHSL datasets. The constrained and unconstrained top-down disaggregation method was used to produce the datasets. The modelling work and geospatial data processing was led by Bondarenko M., Priyatikanto R., Sorichetta A. Oversight was provided by Tatem A.J.