cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12769817.v1
title: Dataset of first appearances of the scholarly bibliographic references on English Wikipedia articles as of 1 March 2017

description: We developed a methodology to detect the oldest scholarly reference added to Wikipedia articles by which a certain paper is uniquely identifiable as the "first appearance of the scholarly reference." We identified the first appearances of 923,894 scholarly references (611,119 unique DOIs) in180,795 unique pages on English Wikipedia as of March 1, 2017, and stored them in the dataset. Moreover, we assessed the precision of the dataset, which was and it was a high precision regardless of the research field.<br><b>Data Records</b>The data format of the dataset is JSON lines, where each line is a single record. In this dataset, we detected the first appearance of each scholarly reference added to Wikipedia articles. If there are multiple references corresponding to the same paper on the same page, only the oldest one is collected. Sample of the record is the following.<br>• doi -- DOI corresponding to the paper (String), e.g., "10.1006/anbe.1996.0497"• paper_type -- Document type of the paper (String), e.g., "journal-article"• paper_container_title -- Journal title, book title, or proceedings title (Array of String), e.g., ["Animal Behaviour"]• paper_publisher -- Publisher name (String), e.g., "Elsevier BV"• paper_title -- Paper title (Array of String), e.g., ["Push or pull: an experimental study on imitation in marmosets"]• paper_published_year -- Published year (String), e.g., "1997"• paper_issue -- Issue number (String), e.g., "4"• paper_volume -- Volume number (String), e.g., "54"• paper_page -- Page numbers (String), e.g., "817-831"• paper_author -- Authors information consisted of given and family names, sequences (order in author names), and affiliations (Array of JSON), e.g., [{"given":"THOMAS", "family":"BUGNYAR", "sequence":"first", "affiliation":[]}, {"given":"LUDWIG", "family":"HUBER", "sequence":"additional", "affiliation":[]}]• issn -- ISSN related to the paper (Array of String), e.g., ["0003-3472"]• research_field -- Research fields from ESI categories (Array of String), e.g., ["PLANT & ANIMAL SCIENCE"]• page_id -- Page id (String), e.g., "577858"• page_title -- Page title (String), e.g., "Imitation"• revision_id -- Revision id (String), e.g., "203309031"• revision_timestamp -- Revision timestamp (String), e.g., "2008-04-04 15:54:09 UTC"• revision_comment -- Revision comment (edit summary) (String), e.g., "/* Animal Behaviour */"• editor_name -- Wikipedia editor's name (String), e.g., "Nicemr"• editor_type -- Type of the editor (String), e.g., "User"<br><b>References</b>• Kikkawa, J., Takaku, M. & Yoshikane, F. Dataset of first appearances of the scholarly bibliographic references on Wikipedia articles (submitted to <i>Scientific Data</i>).<br>
DOI: 10.6084/m9.figshare.16866100
title: SDGs_Urban Equality_CodingGuide.xlsx

description: Coding framework for identifying 'urban' and 'equality' references, and their overlaps, within the 2030 Agenda.
DOI: 10.6084/m9.figshare.16432983.v1
title: Metadata record for: The normalised Sentinel-1 Global Backscatter Model, mapping Earth's land surface with C-band microwaves

description: This dataset contains key characteristics about the data described in the Data Descriptor The normalised Sentinel-1 Global Backscatter Model, mapping Earth's land surface with C-band microwaves. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.16432983
title: Metadata record for: The normalised Sentinel-1 Global Backscatter Model, mapping Earth's land surface with C-band microwaves

description: This dataset contains key characteristics about the data described in the Data Descriptor The normalised Sentinel-1 Global Backscatter Model, mapping Earth's land surface with C-band microwaves. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.16843069
title: Data_sharing.xlsx

description: Supporting material of particulate chloride based on offline samples and online SPAMS.
DOI: 10.6084/m9.figshare.16843069.v1
title: Data_sharing.xlsx

description: Supporting material of particulate chloride based on offline samples and online SPAMS.
DOI: 10.6084/m9.figshare.16558119
title: Metadata record for: Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation

description: This dataset contains key characteristics about the data described in the Data Descriptor Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.16558119.v1
title: Metadata record for: Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation

description: This dataset contains key characteristics about the data described in the Data Descriptor Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.14920131
title: Metadata record for: A high-fidelity residential building occupancy detection dataset

description: This dataset contains key characteristics about the data described in the Data Descriptor A high-fidelity residential building occupancy detection dataset. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.14920131.v1
title: Metadata record for: A high-fidelity residential building occupancy detection dataset

description: This dataset contains key characteristics about the data described in the Data Descriptor A high-fidelity residential building occupancy detection dataset. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.16540080
title: Metadata record for: Downscaling SSP-consistent global spatial urban land projections from 1/8-degree to 1-km resolution 2000-2100

description: This dataset contains key characteristics about the data described in the Data Descriptor Downscaling SSP-consistent global spatial urban land projections from 1/8-degree to 1-km resolution 2000-2100. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.16540080.v1
title: Metadata record for: Downscaling SSP-consistent global spatial urban land projections from 1/8-degree to 1-km resolution 2000-2100

description: This dataset contains key characteristics about the data described in the Data Descriptor Downscaling SSP-consistent global spatial urban land projections from 1/8-degree to 1-km resolution 2000-2100. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.5281/zenodo.5595590
title: Data for Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study

description: Data for Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study
DOI: 10.5281/zenodo.5595589
title: Data for Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study

description: Data for Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study
DOI: 10.6084/m9.figshare.16592621
title: Metadata record for: Characterization of hormone-producing cell types in the teleost pituitary gland using single-cell RNA-seq

description: This dataset contains key characteristics about the data described in the Data Descriptor Characterization of hormone-producing cell types in the teleost pituitary gland using single-cell RNA-seq. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.16592621.v1
title: Metadata record for: Characterization of hormone-producing cell types in the teleost pituitary gland using single-cell RNA-seq

description: This dataset contains key characteristics about the data described in the Data Descriptor Characterization of hormone-producing cell types in the teleost pituitary gland using single-cell RNA-seq. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.14991822
title: Metadata record for: Extracellular circular RNA profiles in plasma and urine of healthy, male college athletes

description: This dataset contains key characteristics about the data described in the Data Descriptor Extracellular circular RNA profiles in plasma and urine of healthy, male college athletes. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.14991822.v1
title: Metadata record for: Extracellular circular RNA profiles in plasma and urine of healthy, male college athletes

description: This dataset contains key characteristics about the data described in the Data Descriptor Extracellular circular RNA profiles in plasma and urine of healthy, male college athletes. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.16601045
title: Metadata record for: In vivo high-resolution structural MRI-based atlas of human thalamic nuclei

description: This dataset contains key characteristics about the data described in the Data Descriptor In vivo high-resolution structural MRI-based atlas of human thalamic nuclei. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.16601045.v1
title: Metadata record for: In vivo high-resolution structural MRI-based atlas of human thalamic nuclei

description: This dataset contains key characteristics about the data described in the Data Descriptor In vivo high-resolution structural MRI-based atlas of human thalamic nuclei. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.16543485
title: Metadata record for: Transcriptomic analysis of loss of Gli1 in neural stem cells responding to demyelination in the mouse brain

description: This dataset contains key characteristics about the data described in the Data Descriptor Transcriptomic analysis of loss of Gli1 in neural stem cells responding to demyelination in the mouse brain. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.16543485.v1
title: Metadata record for: Transcriptomic analysis of loss of Gli1 in neural stem cells responding to demyelination in the mouse brain

description: This dataset contains key characteristics about the data described in the Data Descriptor Transcriptomic analysis of loss of Gli1 in neural stem cells responding to demyelination in the mouse brain. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.5281/zenodo.5578082
title: old - to - delete

description: OLD TO DELETE
DOI: 10.5281/zenodo.5578081
title: old - to - delete

description: OLD TO DELETE
DOI: 10.18112/openneuro.ds003857.v1.0.0
title: Capacity for movement is a major organisational principle in object representations: EEG data from Experiment 3
DOI: 10.12751/g-node.d8yhh8
title: Electrophysiological dataset from macaque visual cortical area MST in response to a novel motion stimulus

description: We provide spiking responses from 172 single neurons in extrastriate visual area MST recorded in 139 sessions from 4 hemispheres of 3 rhesus macaque monkeys. The data was collected across 3 experiments, designed to characterize the response properties of MST neurons to complex motion stimuli. In Experiment 1 ("Spatial Mapping") a small random dot pattern was sequentially presented in different locations across the screen in order to map the neuron's spatial receptive field. In Experiment 2 ("Tuning") a random dot pattern moving at different speeds in different directions in linear motion and spiral motion space was presented in multiple locations across each neuron's spatial receptive field. In Experiment 3 ("Reverse Correlation") a newly developed random dot motion stimulus was used, which consists of a grid of positions, each with a direction and speed seed that determine the motion of dots in the vicinity of each grid location.
DOI: 10.5281/zenodo.4965292
title: Database of (mostly) Roman Findspots

description: For some time now, I have catalogued (mostly) Roman features I encountered in my studies, first in GoogleEarth, later I switched to QGIS, and over time produced this database. It was always meant for my personal use, so it does not live up to academic standards - most sites are only a rough localisation, several km off the actual site; vague literature quotes were often not checked for accuracy. Still, I upload it here to see if anyone is nevertheless interested in this data; if you are, I'd be happy to hear about it, send you more data layers, receive addenda, corrections or questions. (P.S.: I just noticed I forgot to include the layer description and bibliography file in the latest version; please use the one from the previous upload for now, I'll publish a new, complete version asap!)
DOI: 10.5281/zenodo.776154
title: Database of (mostly) Roman Findspots

description: For some time now, I have catalogued (mostly) Roman features I encountered in my studies, first in GoogleEarth, later I switched to QGIS, and over time produced this database. It was always meant for my personal use, so it does not live up to academic standards - most sites are only a rough localisation, several km off the actual site; vague literature quotes were often not checked for accuracy. Still, I upload it here to see if anyone is nevertheless interested in this data; if you are, I'd be happy to hear about it, send you more data layers, receive addenda, corrections or questions. (P.S.: I just noticed I forgot to include the layer description and bibliography file in the latest version; please use the one from the previous upload for now, I'll publish a new, complete version asap!)
DOI: 10.5281/zenodo.5578251
title: Stavronikita Monastery Greek handwritten document Collection no.114

description: It comprises manuscripts made of paper, written at the end of the 15th century and its dimensions are 218X150 mm. In various pages, we find red initials and epititles which enrich the manuscript’s decoration. <br> The dataset of ΧΦ114 consists of 1051 lines of text containing 5467 (2877 unique words) words that are distributed over 44 scanned handwritten text pages. <br> For each page, a PageXML is provided containing the following ground-truth: 1) Text region polygon coordinates<br> 2) Text line polygon coordinates with the corresponding transcription text<br> 3) Word polygon coordinated with the corresponding transcription text
DOI: 10.5281/zenodo.5578250
title: Stavronikita Monastery Greek handwritten document Collection no.114

description: It comprises manuscripts made of paper, written at the end of the 15th century and its dimensions are 218X150 mm. In various pages, we find red initials and epititles which enrich the manuscript’s decoration. <br> The dataset of ΧΦ114 consists of 1051 lines of text containing 5467 (2877 unique words) words that are distributed over 44 scanned handwritten text pages. <br> For each page, a PageXML is provided containing the following ground-truth: 1) Text region polygon coordinates<br> 2) Text line polygon coordinates with the corresponding transcription text<br> 3) Word polygon coordinated with the corresponding transcription text
DOI: 10.5281/zenodo.5578136
title: Stavronikita Monastery Greek handwritten document Collection no.79

description: It comprises manuscripts made of paper, written in the 16th century and its dimensions are 220X165 mm. The manuscript is embellished with epititles and red initials. Tachygraphical symbols and abbreviations are encountered in the manuscript as well. The dataset of XΦ79 consists of 803 lines of text containing 4389 words (2069 unique words) that are distributed over 40 scanned handwritten text pages.<br> For each page, a PageXML is provided containing the following ground-truth: 1) Text region polygon coordinates<br> 2) Text line polygon coordinates with the corresponding transcription text<br> 3) Word polygon coordinated with the corresponding transcription text
DOI: 10.5281/zenodo.5578135
title: Stavronikita Monastery Greek handwritten document Collection no.79

description: It comprises manuscripts made of paper, written in the 16th century and its dimensions are 220X165 mm. The manuscript is embellished with epititles and red initials. Tachygraphical symbols and abbreviations are encountered in the manuscript as well. The dataset of XΦ79 consists of 803 lines of text containing 4389 words (2069 unique words) that are distributed over 40 scanned handwritten text pages.<br> For each page, a PageXML is provided containing the following ground-truth: 1) Text region polygon coordinates<br> 2) Text line polygon coordinates with the corresponding transcription text<br> 3) Word polygon coordinated with the corresponding transcription text
DOI: 10.5281/zenodo.5595669
title: Stavronikita Monastery Greek handwritten document Collection no.53

description: The collection is one of the oldest Stavronikita Monastery on Mount Athos. It is a parchment, four-gospel manuscript which has been written between 1301 and 1350. It comprises 54 pages with dimensions that are approximately 250x185 mm. The script is elegant minuscule and the use of majuscule letters is rare. Tachygraphical symbols and abbreviations are encountered in the manuscript as well. Furthermore, the manuscript is enriched with chrysography, elegant epititles and initials. The dataset of ΧΦ53 consists of 1038 lines of text containing 5592 words (2374 unique words) that are distributed over 54 scanned handwritten text pages.
DOI: 10.5281/zenodo.5595668
title: Stavronikita Monastery Greek handwritten document Collection no.53

description: The collection is one of the oldest Stavronikita Monastery on Mount Athos. It is a parchment, four-gospel manuscript which has been written between 1301 and 1350. It comprises 54 pages with dimensions that are approximately 250x185 mm. The script is elegant minuscule and the use of majuscule letters is rare. Tachygraphical symbols and abbreviations are encountered in the manuscript as well. Furthermore, the manuscript is enriched with chrysography, elegant epititles and initials. The dataset of ΧΦ53 consists of 1038 lines of text containing 5592 words (2374 unique words) that are distributed over 54 scanned handwritten text pages.
DOI: 10.24378/exe.3603
title: Structure and materials of hazel dormouse hibernation nests (dataset)

description: The dataset include readme text files, spreadsheets saved as .csv file and R codes saved a text files
DOI: 10.6084/m9.figshare.16682422
title: COVID-19 and non-COVID-19 pneumonia Dataset

description: This is a sample dataset of COVID-19 and non-COVID-19 pneumonia. It is from the Khorshid COVID Cohort (KCC) study. It is related to the following published paper on "Frontiers in Medicine":<br><br>Marateb HR, Ziaei Nezhad F, Mohebian MR, Sami R,Haghjooy Javanmard S, Dehghan Niri F, Akafzadeh-Savari M, Mansourian M, Mañanas MA, Wolkewitz M and Binder H (2021) Automatic Classification BetweenCOVID-19 and Non-COVID-19 Pneumonia Using Symptoms,Comorbidities, and Laboratory Findings: The Khorshid COVID Cohort Study. Front. Med. 8:768467.doi: 10.3389/fmed.2021.768467https://www.frontiersin.org/articles/10.3389/fmed.2021.768467/full<br><br>Please cite the above reference when the dataset is used.<br><br>
DOI: 10.5281/zenodo.5595714
title: Datasets

description: Dataset from Study 1 and Study 2.
DOI: 10.5281/zenodo.5595727
title: Datasets

description: Dataset from Study 1 and Study 2.
DOI: 10.5281/zenodo.5211470
title: Datasets

description: Dataset from Study 1 and Study 2.
DOI: 10.5281/zenodo.5595576
title: Application of hyperbolic geometry of multiplex networks under layer link-based attacks

description: As real multilayer networks, we consider four networks. The multilayer networks are converted to multiplex networks by assuming that all layers have the same number of nodes (the maximum number of nodes of all layers). Explanation of these networks is as follow: <em>CS-Aarhus_multiplex [1]</em> : The first network used in this study is a 5-layer multiplex network, named CS-Aarhus_multiplex, which has 61 nodes and 620 edges. The multiplex social network consists of five kinds of online and offline relationships (Facebook, Leisure, Work, Co-authorship, Lunch) between the employees of the Computer Science department at Aarhus. <em>Data_malaria_PLOSCompBiology_2013 [2]</em>: The second network is a 9-layer multiplex network, which consists of 307 nodes and 35306 edges. Networks of recombinant antigen genes from the human malaria parasite P. falciparum. Each of the 9 networks shares the same set of vertices but has different edges, corresponding to the 9 highly variable regions (HVRs) in the DBLa domain of the var protein. Nodes are var genes, and two genes are connected if they share a substring whose length is statistically significant. VICKERS CHAN 7th-GRADERS [3] : The third network is a 3-layer multiplex network, called VICKERS CHAN 7th-GRADERS, which includes 29 nodes and 740 edges. The data were collected by Vickers from 29 seventh-grade students in a school in Victoria, Australia. Students were asked to nominate their classmates on several relations including the three layers. 4. FAO MULTIPLEX TRADE NETWORK [4]: The fourth network is a 364-layer multiplex network, which contains 214 nodes and 318346 edges. We consider different types of trade relationships among countries, obtained from FAO (Food and Agriculture Organization of the United Nations)
description: Dataset References: [1] . M. Magnani, B. Micenkova and L. Rossi, arXiv preprint arXiv:1303.4986 (2013). [2]. D. B. Larremore, A. Clauset and C. O. Buckee, PLoS computational biology 9 (10), e1003268 (2013). [3]. M. Vickers and S. Chan, (1981). [4]. M. De Domenico, V. Nicosia, A. Arenas and V. Latora, Nature communications 6 (1), 1-9 (2015).
description: {"references": ["M. Magnani, B. Micenkova and L. Rossi, arXiv preprint arXiv:1303.4986 (2013).", "D. B. Larremore, A. Clauset and C. O. Buckee, PLoS computational biology 9 (10), e1003268 (2013).", "M. Vickers and S. Chan, (1981).", "M. De Domenico, V. Nicosia, A. Arenas and V. Latora, Nature communications 6 (1), 1-9 (2015)."]}