cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13151022
title: Binary black-hole simulation SXS:BBH:1979

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.6084/m9.figshare.26426257
title: CAD integrated automatic gearbox design

description: The excel tables provides overview of the used bearings data.
DOI: 10.5281/zenodo.13151025
title: Binary black-hole simulation SXS:BBH:1973

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13151026
title: Binary black-hole simulation SXS:BBH:1973

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13150841
title: Error Governor for Active Fault Tolerance in PID Control of MIMO Systems

description: The dataset complements the article under review, "Error Governor for Active Fault Tolerance in PID Control of MIMO Systems," by reporting the simulation results obtained from testing the proposed Error Governor approach on the Zagi flying-wing UAV model.

Run the main file "plot_images.m" to generate plots from the simulation data.
DOI: 10.5281/zenodo.13150842
title: Error Governor for Active Fault Tolerance in PID Control of MIMO Systems

description: The dataset complements the article under review, "Error Governor for Active Fault Tolerance in PID Control of MIMO Systems," by reporting the simulation results obtained from testing the proposed Error Governor approach on the Zagi flying-wing UAV model.

Run the main file "plot_images.m" to generate plots from the simulation data.
DOI: 10.5281/zenodo.13151029
title: Binary black-hole simulation SXS:BBH:2045

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13151030
title: Binary black-hole simulation SXS:BBH:2045

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.10155796
title: coauth-MAG-History

description: Overview
This is a temporal higher-order network dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. In this dataset, nodes are authors, and a hyperedge is a publication marked with the "History" tag in the Microsoft Academic Graph. Timestamps are the year of publication. We restricted to hyperedges containing at most 25 nodes.
Statistics
Some basic statistics of this dataset are:

number of nodes: 1,014,734
number of timestamped hyperedges: 1,812,511
number of unique simplices: 895,668
Source of original data
Source: coauth-MAG-History dataset
References
If you use this data, please cite the following papers:

Simplicial closure and higher-order link prediction. Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.
An overview of Microsoft Academic Service (MAS) and applications. Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June Hsu, and Kuansan Wang. Proceedings of WWW, 2015.
DOI: 10.5281/zenodo.10928551
title: coauth-MAG-History

description: Overview
This is a temporal higher-order network dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. In this dataset, nodes are authors, and a hyperedge is a publication marked with the "History" tag in the Microsoft Academic Graph. Timestamps are the year of publication. We restricted to hyperedges containing at most 25 nodes.
Statistics
Some basic statistics of this dataset are:

number of nodes: 1,014,734
number of timestamped hyperedges: 1,812,511
number of unique simplices: 895,668
Source of original data
Source: coauth-MAG-History dataset
References
If you use this data, please cite the following papers:

Simplicial closure and higher-order link prediction. Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.
An overview of Microsoft Academic Service (MAS) and applications. Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June Hsu, and Kuansan Wang. Proceedings of WWW, 2015.
DOI: 10.5281/zenodo.10155795
title: coauth-MAG-History

description: Overview

This is a temporal higher-order network dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. In this dataset, nodes are authors, and a hyperedge is a publication marked with the "History" tag in the Microsoft Academic Graph. Timestamps are the year of publication. We restricted to hyperedges containing at most 25 nodes.

Statistics

Some basic statistics of this dataset are:



number of nodes: 1,014,734

number of timestamped hyperedges: 1,812,511

number of unique simplices: 895,668


Changelog





v1.2: fixed year format with PR #31 https://github.com/xgi-org/xgi-data/pull/31



Source of original data

Source: coauth-MAG-History dataset

References

If you use this data, please cite the following papers:



Simplicial closure and higher-order link prediction. Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.

An overview of Microsoft Academic Service (MAS) and applications. Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June Hsu, and Kuansan Wang. Proceedings of WWW, 2015.
DOI: 10.5281/zenodo.13151009
title: coauth-MAG-History

description: Overview

This is a temporal higher-order network dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. In this dataset, nodes are authors, and a hyperedge is a publication marked with the "History" tag in the Microsoft Academic Graph. Timestamps are the year of publication. We restricted to hyperedges containing at most 25 nodes.

Statistics

Some basic statistics of this dataset are:



number of nodes: 1,014,734

number of timestamped hyperedges: 1,812,511

number of unique simplices: 895,668


Changelog





v1.2: fixed year format with PR #31 https://github.com/xgi-org/xgi-data/pull/31



Source of original data

Source: coauth-MAG-History dataset

References

If you use this data, please cite the following papers:



Simplicial closure and higher-order link prediction. Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.

An overview of Microsoft Academic Service (MAS) and applications. Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June Hsu, and Kuansan Wang. Proceedings of WWW, 2015.
DOI: 10.5281/zenodo.13151035
title: Binary black-hole simulation SXS:BBH:1960

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13151036
title: Binary black-hole simulation SXS:BBH:1960

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.20394/qmgq366b
title: Glasgow CCTV Automated Object Detection counts dataset

description: The Glasgow CCTV Object Detection dataset provides counts of pedestrians, cyclists and vehicles from CCTV cameras located within the Glasgow City Council area. The council has agreed to make this data available as open data under the Open Government Licence. These data are the result of a collaboration between the Glasgow City Council and UBDC. The models they use have been developed using open object detection models developed by UBDC more details can be found here: https://glasgow-cctv.ubdc.ac.uk/docs/overview . 

 

To facilitate access to the data, and to encourage its use in widespread analyses, apps and dashboards, UBDC colleagues developed a RESTful API. 

 

The API provides half an hour counts of pedestrians and vehicles in JSON format, updated once daily since the project started with four cameras on 30th November 2019. The API can be used to obtain: 

 

All counts for all dates and all cameras; 

All counts for a specific location/camera; 

All counts for a specific time period; 

All counts for a location and time period (inclusive); 

It is also possible to download all data in CSV format.
DOI: 10.5281/zenodo.13151041
title: Binary black-hole simulation SXS:BBH:1721

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13151042
title: Binary black-hole simulation SXS:BBH:1721

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.20394/maw4jqgn
title: Zoopla live aggregated property data

description: Property Market Insights from Zoopla Live (Aggregated):

Discover valuable property market insights with our data product sourced from Zoopla Live, one of the UK's premier aggregators of property listings data. Gain access to a comprehensive dataset containing information on 27,000,000 homes, up to 1,000,000 property listings,.

The Urban Big Data Centre (UBDC) systematially collects daily property listings from Zoopla across the entire UK since 2017; and each year, we process and consolidate the collected data into yearly aggregated and harmonized 'analysis-ready' datasets.

Researchers can utilize this dataset to unlock meaningful insights into the property market.

Please note that additional daily data from Zoopla can be made available upon request if the provided aggregated product does not meet specific research requirements.
Additionally, it's essential to be aware that each Zoopla year spans 18 months, from the 1st of Oct of the previous year until the 31st of March of the following year.

UBDC’s Zoopla data collection is a dataset that covers housing data since 2017, covering the area of Great Britain. UBDC has an agreement with Zoopla and has access to current property listings via Application Programming Interface (API). We have been collecting the listings since August 2016. 

UBDC can provide Live Collected Aggregated Data: Aggregated (yearly) data made from Live Collected data. The Zoopla year is +/- 3 months for each year(= zoopla year 18 months) The collection requires unique property id in the API request.

We have also set up an email discussion list on housing data and related issues that you can join via the JISCMail website:

https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=UBDC-HOUSING-DATA

Note: In accessing this data, you agree that any downloading of content is for non-commercial reference only. No part of these materials may be used for any other purpose or reproduced or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise without the prior consent of the University of Glasgow.

Data is Zoopla Property Group PLC, © 2023, processed by Urban Big Data Centre, University of Glasgow

Details of the data available via Zoopla’s Application Programming Interface (API) can be found at

http://developer.zoopla.com/
DOI: 10.5281/zenodo.13151049
title: Binary black-hole simulation SXS:BBH:2063

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13151050
title: Binary black-hole simulation SXS:BBH:2063

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.25318/1010016901-fra
title: Statistiques de finances publiques canadiennes pour les municipalités individuelles et autres administrations publiques locales, tel que rapporté par les municipalités

description: Statistiques de finances publiques canadiennes (SFPC), les données de la situation des opérations et du bilan pour les municipalités individuelles et autres administrations publiques locales, tel que rapporté par les municipalités (dollars x 1 000).
DOI: 10.20394/bhdac1b2
title: Public transport travel time matrices for Great Britain (TTM 2023)

description: This dataset provides ready-to-use door-to-door public transport travel time estimates for each of the 230,000 2011 Census output areas (OA) in Great Britain (GB) to every other OA reachable within 150 minutes during the morning peak for the year 2023. This information comprises an all-to-all travel time matrix (TTM) at the national level. In addition, the dataset includes two more TTMs at the lower super output area (LSOA) and the data zone (DZ) levels (42,000 LSOA/DZ units in total). These are estimated for two times of departure, specifically during the morning peak and at night. Altogether, these TTMs present a range of opportunities for researchers and practitioners, such as the development of accessibility measures, spatial connectivity or modifiable areal/temporal unit problem analyses, and the evaluation of public transport service changes throughout a day.

##Access to the data##
To request access to Public transport travel time matrices for Great Britain output areas level data (TTM 2023), please get in touch by clicking [Request Data](https://data.ubdc.ac.uk/data-service/access-request "title")
DOI: 10.5281/zenodo.13151055
title: Binary black-hole simulation SXS:BBH:1823

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13151056
title: Binary black-hole simulation SXS:BBH:1823

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13151065
title: Binary black-hole simulation SXS:BBH:1826

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13151066
title: Binary black-hole simulation SXS:BBH:1826

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13151072
title: Binary black-hole simulation SXS:BBH:1564

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13151073
title: Binary black-hole simulation SXS:BBH:1564

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.u3qx9s
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyrestis thyodamas Boisduval, 1836"
 ]
}

 The dataset includes 271 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044271-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.euam94
title: Occurrence Download

description: A dataset containing 8265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.00864 6.25178,-74.48706 6.25178,-74.48706 6.79747,-75.00864 6.79747,-75.00864 6.25178))",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 8265 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044272-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/1010017001-eng
title: Canadian classification of functions of government for individual municipalities and other local public administrations, as reported by municipalities

description: Canadian classification of functions of government (CCOFOG) for individual municipalities and other local public administrations, annual, as reported by municipalities (dollars x 1,000).
DOI: 10.5519/qd.5co6knuw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (35341 records)
DOI: 10.15468/dl.haka97
title: Occurrence Download

description: A dataset containing 7972957 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material citation, Living Specimen, Occurrence evidence, Machine Observation, Material sample, Specimen)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1950-2024"
 ]
}

 The dataset includes 7972957 records from 2508 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044270-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9c3abn
title: Occurrence Download

description: A dataset containing 1396 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anolis polylepis Peters, 1874"
 ]
}

 The dataset includes 1396 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080492-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yjs60m
title: Occurrence Download

description: A dataset containing 299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.90168 7.13604,-73.09832 7.13604,-73.09832 19.86396,-104.90168 19.86396,-104.90168 7.13604))",
 "HasCoordinate is true",
 "TaxonKey is Ticodendron incognitum Gómez-Laur. & L.D.Gómez",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 299 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003140-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yko5ez
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acaulimalva parnassiifolia (Hook.) Krapov."
 ]
}

 The dataset includes 15 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001720-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bnmet
title: Occurrence Download

description: A dataset containing 519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protea cynaroides (L.) L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 519 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003140-190307172214381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqnz69
title: Occurrence Download

description: A dataset containing 1651 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Elytraria imbricata (Vahl) Pers.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1651 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006490-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iyjzgw
title: Occurrence Download

description: A dataset containing 813 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kosteletzkya depressa (L.) O.J.Blanch., Fryxell & D.M.Bates"
 ]
}

 The dataset includes 813 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001726-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vq23jq
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mazama Rafinesque, 1817"
 ]
}

 The dataset includes 98 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079296-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cnobag
title: Occurrence Download

description: A dataset containing 13653 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Árboles de Chiapas: registro georreferenciado de los ejemplares depositados en el herbario de la Academia de Ciencias de California (CAS)"
 ]
}

 The dataset includes 13653 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003140-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5ua4j
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Colias lada Grum-Grshimailo, 1891",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0336271-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agnkz3
title: Occurrence Download

description: A dataset containing 233 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen"
 ]
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is Mexico",
 "Country is Guatemala",
 "Country is Belize",
 "Country is El Salvador",
 "Country is Honduras",
 "Country is Nicaragua",
 "Country is Costa Rica",
 "Country is Panama"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Acacia melanoxylon R.Br.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 233 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020912-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3g2zg9
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen)",
 "DatasetKey is one of (MVZ Bird Collection (Arctos), AMNH Bird Collection, LSUMZ Birds Collection, UCLA Donald R. Dickey Bird and Mammal Collection, NMNH Extant Specimen Records (USNM, US), CM Birds Collection, UF Florida Museum of Natural History Ornithology)",
 "TaxonKey is Troglodytes rufociliatus Sharpe, 1882"
 ]
}

 The dataset includes 124 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057504-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qc47jx
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Canadian Museum of Nature Bird Collection",
 "Country is Tanzania, United Republic of"
 ]
}

 The dataset includes 150 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108746-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1yqokc
title: Occurrence Download

description: A dataset containing 6331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((99 25,99.25 25,99.25 33.88,99 33.88,99 25))",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 6331 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004840-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.