cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16929448.v1
title: Supplementary Table S2

description: Table S2, sequencing results
DOI: 10.6084/m9.figshare.16929457
title: Supplementary Table S3

description: Table S3
DOI: 10.6084/m9.figshare.16929457.v1
title: Supplementary Table S3

description: Table S3
DOI: 10.6084/m9.figshare.16929445
title: Supplementary Table S1

description: Table S1
DOI: 10.6084/m9.figshare.16929445.v1
title: Supplementary Table S1

description: Table S1
DOI: 10.5281/zenodo.5234115
title: Artificial Image Data of 2-D Shapes with Different Orientations

description: 1000 images for each of 5 different shapes: arrow (no rotational symmetry) semicircle (no rotational symmetry) double arrow (2-fold rotational symmetry) triangle (3-fold rotational symmetry) pentagon (5-fold rotational symmetry) Ground truth orientations and numbers of symmetries are given in groundtruths.csv.
DOI: 10.5281/zenodo.5234114
title: Artificial Image Data of 2-D Shapes with Different Orientations

description: 1000 images for each of 5 different shapes: arrow (no rotational symmetry) semicircle (no rotational symmetry) double arrow (2-fold rotational symmetry) triangle (3-fold rotational symmetry) pentagon (5-fold rotational symmetry) Ground truth orientations and numbers of symmetries are given in groundtruths.csv.
DOI: 10.6084/m9.figshare.16929409.v1
title: Electoral processes and COVID-19 infections in Japan

description: This dataset was used in the study, entitled "Electoral processes and COVID-19 infections in Japan."
DOI: 10.6084/m9.figshare.16929409
title: Electoral processes and COVID-19 infections in Japan

description: This dataset was used in the study, entitled "Electoral processes and COVID-19 infections in Japan."
DOI: 10.5281/zenodo.5644750
title: Crowdsourced air traffic data from The OpenSky Network 2020 [CC-BY]

description: <strong>Motivation</strong> The data in this dataset is derived and cleaned from the full OpenSky dataset to illustrate the development of air traffic during the COVID-19 pandemic. It spans all flights seen by the network's more than 2500 members since 1 January 2019. More data will be periodically included in the dataset until the end of the COVID-19 pandemic. <strong>License</strong> Creative Commons CC-BY The only difference with the original dataset comes from anonymised aircraft information. <strong>Disclaimer</strong> The data provided in the files is provided as is. Despite our best efforts at filtering out potential issues, some information could be erroneous. Origin and destination airports are computed online based on the ADS-B trajectories on approach/takeoff: no crosschecking with external sources of data has been conducted.<br> Fields <strong>origin</strong> or <strong>destination</strong> are empty when no airport could be found. Aircraft information come from the OpenSky aircraft database. Fields <strong>typecode</strong> and <strong>registration</strong> are empty when the aircraft is not present in the database. <strong>Description of the dataset</strong> One file per month is provided as a csv file with the following features: <strong>callsign</strong>: the identifier of the flight displayed on ATC screens (usually the first three letters are reserved for an airline: AFR for Air France, DLH for Lufthansa, etc.) <strong>number</strong>: the commercial number of the flight, when available (the matching with the callsign comes from public open API) <strong>aircraft_uid</strong>: a unique anonymised identifier for aircraft; <strong>typecode</strong>: the aircraft model type (when available); <strong>origin</strong>: a four letter code for the origin airport of the flight (when available); <strong>destination</strong>: a four letter code for the destination airport of the flight (when available); <strong>firstseen</strong>: the UTC timestamp of the first message received by the OpenSky Network; <strong>lastseen</strong>: the UTC timestamp of the last message received by the OpenSky Network; <strong>day</strong>: the UTC day of the last message received by the OpenSky Network; <strong>latitude_1</strong>, <strong>longitude_1</strong>, <strong>altitude_1</strong>: the first detected position of the aircraft; <strong>latitude_2</strong>, <strong>longitude_2</strong>, <strong>altitude_2</strong>: the last detected position of the aircraft. <strong>Examples</strong> Possible visualisations and a more detailed description of the data are available at the following page:<br> &lt;https://traffic-viz.github.io/scenarios/covid19.html&gt; <strong>Credit</strong> Martin Strohmeier, Xavier Olive, Jannis Lübbe, Matthias Schäfer, and Vincent Lenders<br> <strong>"</strong>Crowdsourced air traffic data from the OpenSky Network 2019–2020<strong>"</strong><br> <em>Earth System Science Data</em> 13(2), 2021<br> https://doi.org/10.5194/essd-13-357-2021
DOI: 10.6084/m9.figshare.16929499
title: Autopsy Data 2020 CLEANED (2).xlsx

description: Data set for an autopsy sub-study nested under a prospective observational cohort study conducted in Uganda among inpatients on the infectious diseases, pulmonary, and emergency wards at Kiruddu National Referral Hospital from February 2017 to August 2020
DOI: 10.5281/zenodo.3751143
title: Ammonium concentrations in surface seawater profiles in the Southern Ocean collected on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).

description: <strong>Dataset abstract</strong> Seawater samples were collected from the ship's underway system or from the surface niskin bottle from the CTD rosette. Some incidental samples were collected from the surface using a bucket from the side of the ship or a zodiac. The samples were collected every 6 hours from the underway and from every CTD cast as part of the Antarctic Circumnavigation Expedition (ACE) which took place in the Austral summer of 2016/2017. Ammonium is representative of the recycled nitrogen pool in the upper mixed layer where inputs include marine production and terrestrial runoff. Seawater samples were collected and frozen during the expedition and analysed post-cruise and quality controlled to produce this dataset, which presents ammonium concentration in surface seawater from the Southern Ocean. <strong>Dataset contents</strong> ace_ammonium_concentration_surface_seawater.csv file, data file, comma-separated values ace_ammonium_concentration_surface_seawater_chnage_log.txt, metadata, text data_file_header.txt, metadata, text README.txt, metadata, text <strong>Change log</strong> <strong>v1.1</strong> - Added detection limit to README.txt. Data points formatted to 2 decimal places. <strong>v1.0</strong> - Initial release of dataset
description: The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals and the University of Cape Town.
description: {"references": ["Holmes, R.M., Aminot, A., Kerouel, R., Hooker, B.A., Peterson, B.J., 1999. A simple and precise method for measuring ammonium in marine and freshwater ecosystems. Canadian Journal of Fisheries and Aquatic Sciences 56, 1801\u20131808.", "David W H Walton, & Jenny Thomas. (2018, November 22). Cruise Report - Antarctic Circumnavigation Expedition (ACE) 20th December 2016 - 19th March 2017 (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.1443511"]}
DOI: 10.5281/zenodo.3730626
title: Ammonium concentrations in surface seawater profiles in the Southern Ocean collected on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).

description: <strong>Dataset abstract</strong> Seawater samples were collected from the ship's underway system or from the surface niskin bottle from the CTD rosette. Some incidental samples were collected from the surface using a bucket from the side of the ship or a zodiac. The samples were collected every 6 hours from the underway and from every CTD cast as part of the Antarctic Circumnavigation Expedition (ACE) which took place in the Austral summer of 2016/2017. Ammonium is representative of the recycled nitrogen pool in the upper mixed layer where inputs include marine production and terrestrial runoff. Seawater samples were collected and frozen during the expedition and analysed post-cruise and quality controlled to produce this dataset, which presents ammonium concentration in surface seawater from the Southern Ocean. <strong>Dataset contents</strong> ace_ammonium_concentration_surface_seawater.csv file, data file, comma-separated values ace_ammonium_concentration_surface_seawater_chnage_log.txt, metadata, text data_file_header.txt, metadata, text README.txt, metadata, text <strong>Change log</strong> <strong>v1.1</strong> - Added detection limit to README.txt. Data points formatted to 2 decimal places. <strong>v1.0</strong> - Initial release of dataset
description: The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals and the University of Cape Town.
description: {"references": ["Holmes, R.M., Aminot, A., Kerouel, R., Hooker, B.A., Peterson, B.J., 1999. A simple and precise method for measuring ammonium in marine and freshwater ecosystems. Canadian Journal of Fisheries and Aquatic Sciences 56, 1801\u20131808.", "David W H Walton, & Jenny Thomas. (2018, November 22). Cruise Report - Antarctic Circumnavigation Expedition (ACE) 20th December 2016 - 19th March 2017 (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.1443511"]}
DOI: 10.5281/zenodo.5644763
title: Data for: Sources of CO2 produced in freshly thawed Pleistocene-age Yedoma permafrost

description: This dataset contains δ13C and F14C compositions of CO2 samples as well as sedimentary parameters from Pleistocene Yedoma located on Kurungnakh Island in the Lena River Delta, collected during an expedition in July/August 2017. Sediment samples were collected from active layer soil pits, using shovels, at three sites on an active retrogressive thaw slump: Pleistocene-aged Yedoma from intact thaw mounds (TM1, TM2), intact Holocene polygonal tundra overlaying the thaw slump (HT1) and sediments from the thaw slump floor (SF3), where Pleistocene and Holocene sediments mix as a result of erosion. CO2 was collected in-situ from the three sites using respiration chambers, set up on vegetation-free spots on the active layer and, in fixed intervals, from a 1.5-year laboratory incubation experiment of sediment samples collected during the expedition. The analyses were performed to compare the C-isotopy of in-situ respired CO2 with that of CO2 produced during the incubation and to determine the sources of the released CO2.
DOI: 10.5281/zenodo.5644762
title: Data for: Sources of CO2 produced in freshly thawed Pleistocene-age Yedoma permafrost

description: This dataset contains δ13C and F14C compositions of CO2 samples as well as sedimentary parameters from Pleistocene Yedoma located on Kurungnakh Island in the Lena River Delta, collected during an expedition in July/August 2017. Sediment samples were collected from active layer soil pits, using shovels, at three sites on an active retrogressive thaw slump: Pleistocene-aged Yedoma from intact thaw mounds (TM1, TM2), intact Holocene polygonal tundra overlaying the thaw slump (HT1) and sediments from the thaw slump floor (SF3), where Pleistocene and Holocene sediments mix as a result of erosion. CO2 was collected in-situ from the three sites using respiration chambers, set up on vegetation-free spots on the active layer and, in fixed intervals, from a 1.5-year laboratory incubation experiment of sediment samples collected during the expedition. The analyses were performed to compare the C-isotopy of in-situ respired CO2 with that of CO2 produced during the incubation and to determine the sources of the released CO2.
DOI: 10.5281/zenodo.3730627
title: Ammonium concentrations in surface seawater profiles in the Southern Ocean collected on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).

description: ***** Dataset abstract ***** Seawater samples were collected from the ship's underway system or from the surface niskin bottle from the CTD rosette. Some incidental samples were collected from the surface using a bucket from the side of the ship or a zodiac. The samples were collected every 6 hours from the underway and from every CTD cast as part of the Antarctic Circumnavigation Expedition (ACE) which took place in the Austral summer of 2016/2017 Ammonium is representative of the recycled nitrogen pool in the upper mixed layer where inputs include marine production and terrestrial runoff. Seawater samples were collected and frozen during the expedition and analysed post-cruise and quality controlled to produce this dataset, which presents ammonium concentration in surface seawater from the Southern Ocean. ***** Dataset contents ***** - ace_ammonium_concentration_surface_seawater.csv file, data file, comma-separated values<br> - data_file_header.txt, metadata, text<br> - README.txt, metadata, text
description: The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals and the University of Cape Town.
description: {"references": ["Holmes, R.M., Aminot, A., Kerouel, R., Hooker, B.A., Peterson, B.J., 1999. A simple and precise method for measuring ammonium in marine and freshwater ecosystems. Canadian Journal of Fisheries and Aquatic Sciences 56, 1801\u20131808.", "David W H Walton, & Jenny Thomas. (2018, November 22). Cruise Report - Antarctic Circumnavigation Expedition (ACE) 20th December 2016 - 19th March 2017 (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.1443511"]}
DOI: 10.5281/zenodo.5643649
title: Waveguide coupled III-V photodiodes monolithically integrated on Si

description: This dataset supports the study "Waveguide coupled III-V photodiodes monolithically integrated on Si", https://arxiv.org/ftp/arxiv/papers/2106/2106.00620. The material here represents the raw data that measured in the experiments without further processing, which was subsequently performed using Origin Graphing.
DOI: 10.5281/zenodo.5643648
title: Waveguide coupled III-V photodiodes monolithically integrated on Si

description: This dataset supports the study "Waveguide coupled III-V photodiodes monolithically integrated on Si", https://arxiv.org/ftp/arxiv/papers/2106/2106.00620. The material here represents the raw data that measured in the experiments without further processing, which was subsequently performed using Origin Graphing.
DOI: 10.6084/m9.figshare.16826140
title: Occupancy_mod

description: Record table for occupancy modCaptures for occupancy modSample code for single season single site<br>Please note that GPS coordinates have been omitted from the record table to protect vulnerable species subject to anti-poaching controls. Randomly generated x y coordinates will be required in order to complete occupancy modelling.
DOI: 10.6084/m9.figshare.16826140.v1
title: Occupancy_mod

description: Record table for occupancy modCaptures for occupancy modSample code for single season single site<br>Please note that GPS coordinates have been omitted from the record table to protect vulnerable species subject to anti-poaching controls. Randomly generated x y coordinates will be required in order to complete occupancy modelling.
DOI: 10.6084/m9.figshare.16826122
title: captures

description: Camera trap captures in format for REM
DOI: 10.6084/m9.figshare.14635485
title: Metadata record for: The Swiss data cube, analysis ready data archive using earth observations of Switzerland

description: This dataset contains key characteristics about the data described in the Data Descriptor The Swiss data cube, analysis ready data archive using earth observations of Switzerland. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.5281/zenodo.5644286
title: data files for Fonseca et al, Interseismic Strain Accumulation near Lisbon (Portugal) from Space Geodesy, submitted to GRL

description: Data used to produce the figures of Fonseca et al., Interseismic Strain Accumulation near Lisbon (Portugal) from Space Geodesy (submitted to GRL)
DOI: 10.6084/m9.figshare.14635485.v1
title: Metadata record for: The Swiss data cube, analysis ready data archive using earth observations of Switzerland

description: This dataset contains key characteristics about the data described in the Data Descriptor The Swiss data cube, analysis ready data archive using earth observations of Switzerland. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.5281/zenodo.5644285
title: data files for Fonseca et al, Interseismic Strain Accumulation near Lisbon (Portugal) from Space Geodesy, submitted to GRL

description: Data used to produce the figures of Fonseca et al., Interseismic Strain Accumulation near Lisbon (Portugal) from Space Geodesy (submitted to GRL)
DOI: 10.5281/zenodo.5644691
title: Dataset for Temperature Development in Ultra-High-Performance Concrete-Filled Double-Skin Tubes Exposed to Fire

description: This dataset presents extensive experimental data available in the literature for concrete-filled tubes (CFT) and ductile concrete-filled double-skin tubes (CFDST) exposed to fire. Different concrete grades, including normal strength (NS), high strength (HS), and ultra-high-strength (UHS) concrete, were tested, and the temperature developments within various cross-sections are provided in the supplementary data. The density, specific heat, and conductivity that are temperature-dependent, are documented by different researchers and current specifications. The preferred models are provided for carbon-steel, stainless-steel, and different grades of concrete. Numerical studies such as those conducted by the authors in a companion paper would find value in this data for validation and verification purposes
DOI: 10.5522/04/16622947
title: MIRRA Interviews

description: <i>In total, over 80 individuals provided data to the project between March 2018 and June 2019. These include 21 adult care leavers. Demographic information was not formally collected from contributors, as the project focused on qualitative narratives of personal experience. However, detailed biographical information could be gleaned from their testimonies. The care leavers ranged in age from 18 to 85 years old; all had experienced foster and/or residential care in England between the late 1940s and 2018. Approximately one third had been in the care of voluntary organizations for all or some of their care experience, and the others exclusively looked after by local authorities. They were in care for varying lengths of time, in different parts of the country and for different reasons. Each person had a unique journey, entering and leaving care at a different age, representing the diversity of care over time and place. This diversity impacted on the types, form and extent of care records available from their respective childhoods, reflecting changes in recordkeeping practices over the 80-year period (Hoyle et al., 2019). The rich data from the 21 care experienced testimonies, although not generalizable, represent a significant and detailed exploration of the issues they wished to raise. Sixteen care-leaver contributors had accessed their care records; four had made a conscious decision not to; and one was in the process of doing so.</i><i><br></i>Publications<br>Hoyle, V., Shepherd, E., Flinn, A. and Lomas, E (2019) "Child Social-Care Recording and the Information Rights of Care-Experienced People: A Recordkeeping Perspective" in The British Journal of Social Work https://doi.org/10.1093/bjsw/bcy115 (Open Access - Free to All)<br>Shepherd, E., Hoyle, V., Lomas, E., Flinn, A., Sexton, A. (2020). Towards a Human-Centred Participatory Approach to Child Social Care Recordkeeping. Archival Science. 20(4), 307-325. http://dx.doi.org/10.1007/s10502-020-09338-9 Gold Open Access.<br>Hoyle V, Shepherd E, Lomas E, Flinn A (2020). Recordkeeping and the life-long memory and identity needs of care-experienced children and young people. Child and Family Social Work. https://doi.org/10.1111/cfs.12778 Gold Open Access.<br><br>Podcast<br>Miriam Antcliffe, Research in Practice Research and Development Officer, speaks to John-george and Darren who share their personal stories of accessing their care files as adults:<br>https://www.researchinpractice.org.uk/children/content-pages/podcasts/reflections-on-accessing-care-records-and-supporting-good-recording/<br><br>Project Leaflets<br>MIRRA Research Leaflet: Description and Actions https://blogs.ucl.ac.uk/mirra/files/2019/07/MIRRAUpdatedLeafletWebVersion.pdf<br><br>MIRRA Poster: Findings<br>https://blogs.ucl.ac.uk/mirra/files/2019/07/MIRRA-poster-A1_v03-003.pdf<br><br>Case Study reports<br>Care Leavers Experiences<br>https://blogs.ucl.ac.uk/mirra/files/2019/07/Care-Leavers-Experiences.pdf<br><br>Practitioner Perspectives<br>https://blogs.ucl.ac.uk/mirra/files/2019/07/Practitioner-Perspectives.pdf<i><br></i>