cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7488/ds/1927
title: DCW data for the UK

description: The Digital Chart of the World (DCW) is an Environmental Systems Research Institute, Inc. (ESRI) product originally developed for the US Defense Mapping Agency (DMA) using DMA data. This data was downloaded from the Penn State web site and then converted to Shapefile format using ArcMap. See the Penn State web site for more details and to download other data: http://www.maproom.psu.edu/dcw/dcw_about.shtml NOTE - this is a revised version of an earlier DCW dataset that was here as of 5th August 09. It has fixed some issues in the conversion process from E00 to Shapefile that lost some features. This dataset is in the original geographical coordinate system (Clarke 1866). A set of ArcMap Layer Files is included with the data that can be used to give an approximate representation of the data. http://www.maproom.psu.edu/cgi-bin/dcw/dcwarea.cgi?Europ. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-06-09 and migrated to Edinburgh DataShare on 2017-02-22.
description: ESRI Shapefile
DOI: 10.7488/ds/1853
title: Plan City and Castle of Edinburgh (1765)

description: Georeferenced map of "Plan City and Castle of Edinburgh " By William Edgar (1765) as part of the Visualising Urban Geographies project- view other versions of the map at http://geo.nls.uk/urbhist/resources_maps.html. Scanned from original paper map and georeferenced by The National Library Of Scotland. Scanned map. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2011-09-01 and migrated to Edinburgh DataShare on 2017-02-21.
description: GeoTIFF
DOI: 10.7488/ds/1892
title: USA Wind Farm Locations

description: This dataset shows the location of operational windfarms in the USA. It provides the location and the name of each farm but doesn't provide information on the size, or number or power output of farms. It currently gives the location of 947 windfarms. This data was sourced from OpenEnergyInfo (http://en.openei.org/wiki/Map_of_Wind_Farms) which is Sponsored by the U.S. Department of Energy and developed by the National Renewable Energy Laboratory in support of the Open Government Initiative to make energy data transparent, participatory, and collaborative. The data was scraped in September 2012, but there is no indication of the accuracy or when it was last updated. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2012-09-27 and migrated to Edinburgh DataShare on 2017-02-21.
description: ESRI Shapefile
DOI: 10.7488/ds/1968
title: Broad Rental Market Areas (Scotland)

description: Broad Rental Market Areas (BRMAs) are the geographical areas used to determine Local Housing Allowance (LHA) rates. This dataset covers Scotland only. Please see the Doc folder for more details. Released by Rent Service Scotland (part of the Scottish Government) on 14/10/2014 via correspondence (enclosed). GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2014-10-14 and migrated to Edinburgh DataShare on 2017-02-22.
description: ESRI Shapefile
DOI: 10.7488/ds/1926
title: Indices of Deprivation England and Wales 2010

description: The English Indices of Deprivation 2010 provide a relative measure of deprivation at small area level across England. Areas are ranked from least deprived to most deprived on seven different dimensions of deprivation and an overall composite measure of multiple deprivation. Most of the data underlying the 2010 Indices are for the year 2008. The domains used in the Indices of Deprivation 2010 are: income deprivation; employment deprivation; health deprivation and disability; education deprivation; crime deprivation; barriers to housing and services deprivation; and living environment deprivation. Each of these domains has its own scores and ranks, allowing users to focus on specific aspects of deprivation. In addition, two supplementary indices measure income deprivation amongst children - the Income Deprivation Affecting Children Index (IDACI) - and older people - the Income Deprivation Affecting Older People Index (IDAOPI).This data was then combined with the LSOA boundaries in ArcGIS. The first data column is the Index of Multiple Deprivation Score. The second data column is the Rank of the Index of Multiple Deprivation Score. The LSOA with a rank of 1 is the most deprived, and 32482 the least deprived, on this overall measure. The IMD 2010 was constructed by combining the seven transformed domain scores, using the following weights: * Income (22.5%) * Employment (22.5%) * Health and Disability (13.5%) * Education, Skills and Training (13.5%) * Barriers to Housing and Services (9.3%) * Crime (9.3%) * Living Environment (9.3%) The the seven domain indices are each presented in separate tables available from the DCLG website. Data sourced from Data.gov.uk: http://data.gov.uk/dataset/index-of-multiple-deprivation and LSOA data from ONS Geoportal: https://geoportal.statistics.gov.uk/geoportal/catalog/main/home.page (the dataset date in this case refers to the date the data was uploaded). GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2013-12-06 and migrated to Edinburgh DataShare on 2017-02-22.
description: ESRI Shapefile
DOI: 10.7488/ds/1924
title: Food Standards Agency - England and Wales

description: This dataset contains the results of Food Standards Agency inspections of food outlets in England and Wales. The FSA inspect and rate food outlets, scores of 0-5 are returned with 0/1 indicating urgent and immediate action is required and 5 being exemplary. To pass, an outlet must score 3 or above. Even 0 and 1 scores are allowed to remain open, only outlets that are deemed to pose an immediate risk to health anre closed down. 91% of outlets pass, but that leaves 9% that fail. The dataset contains over 300,000 records. Data source from the Guardian website () who in turn sourced it from the Food Standards Agency. It was downloaded from the Guardian as a CSV and converted to a shp file in QGIS. Data was cleaned and converted from Txt to float using MMQGIS. The original data contains 340,000 records but the shp file has 310,000. The lost records did not contain lat/lon. The most probable reason for this is that they were outside catering or mobile catering and had no fixed address for their kitchens. This data is free to use, but acknowledging The FSA and the Guardian would be courteous. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2013-08-09 and migrated to Edinburgh DataShare on 2017-02-22.
description: ESRI Shapefile
DOI: 10.7488/ds/1925
title: Watsonian Vice County Boundaries

description: The Vice County system for Great Britain was devised by an English botanist, Hewett Cottrell Watson, for the purposes of illustrating plant distributions These digitised boundaries are available free-of-charge as a download to recorders, mapping scheme organisers, local record centres and others. This download will contain 3 datasets, an outline of GB, a zip containing individual Vice Counties and a zip containing all Vice Counties as 1 shapefile. 3 and 12 mile offshore limits are included in each zip. Data sourced from http://www.nbn.org.uk/SpecialPages/WVCB-Download.aspx and released under an Open Government Licence. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2013-10-31 and migrated to Edinburgh DataShare on 2017-02-22.
description: ESRI Shapefile
DOI: 10.7488/ds/1954
title: Working with map data in GIS

description: Wind Farms - follows on from the 'Dave' Data Download case study. View and symbolise OS raster and height data and Wind Farm location data. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2014-04-10 and migrated to Edinburgh DataShare on 2017-02-22.
description: ESRI Shapefile
DOI: 10.7488/ds/1931
title: GB Football Club locations

description: Location of GB football clubs. Original GPX file was source. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-09-03 and migrated to Edinburgh DataShare on 2017-02-22.
description: ESRI Shapefile
DOI: 10.7488/ds/1763
title: Location of Supermarkets in Britain

description: This dataset shows the location of supermarkets in Britain. Only the big four chains have been included, these are Tescos, Sainsbury's, Asda and Morrisons. The spatial accuracy of the data is not great but generally better than 100m. Local tweaking may be needed. Please advise author of dataset of missing supermarkets, this list will not be definitive. Generated from 4 individual files from POI website. Data was merged and many positions were improved after x-checking with other sources. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-09-16 and migrated to Edinburgh DataShare on 2017-02-21.
description: ESRI Shapefile
DOI: 10.7488/ds/1722
title: SRTM shaded relief DEM of Great Britain

description: This shaded relief DEM was created from SRTM data. The Shuttle Radar Topography Mission (SRTM) DEM was created from level 1 data which was cleaned and had holes patched. The data does not include the Shetland Islands as SRTM data becomes unreliable at 60N. The cell size is close to 90m. It covers the whole of the GB. This shaded relief DEM was created from Level one SRTM data. Digital Terrain Model. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-06-30 and migrated to Edinburgh DataShare on 2017-02-20.
description: ArcInfo GRID
DOI: 10.7488/ds/1400
title: Walk-itch

description: The video and stills of this dataset are associated with the video walk "Walk-itch" - devised by Jungenfeld for the collective event "Glitch'd: Purposeful Mistakes" (Hood et. al) as part of the Edinburgh International Festival 2013. The video walk was devised in June-August 2013 and presented at the end of August. The video walk developed inside the Main Building of Edinburgh College of Art, where a group of 20+ people using seven sets of equipment (portable projector, wireless spy camera and receiver) created a collaborative multi-projection video walk. The equipment was meant to be used in pairs, so that one person would carry the wireless spy camera and the other the portable projector connected to a radio receiver. This way one person collected visuals directly from the surroundings (live feed) and the other person received and projected the moving images onto surfaces and things around them. All the equipment was connected to the same radio channel, which provoked glitches in the signals, and as a result different pairs of participants exchanged and mixed the content that was collectively re-mediated. Video documentation by Kao and Jungenfeld; video editing and sound by Jungenfeld.
description: This data item contains the following files: 1_Walk-itch_video-documentation.mov (documentation of video walk - 2013) and 2_Walk-itch_stills.zip (still images from video documentation).
DOI: 10.7488/ds/1969
title: Mean High Water Springs Polygon

description: Mean high water (springs) polygon. The polygon represents an average measure of the highest tides over a long period of time (in colloquial terms this is equivalent to the 'high tide mark'). The term ‘springs’ denotes tides that are higher than average. This data was extracted from Ordnance Survey Boundary Line and polygonised using ArcGIS 10.2. Boundary Line is available as OS OpenData, further information about the dataset can be found at: http://www.ordnancesurvey.co.uk/docs/user-guides/boundary-line-user-guide.pdf. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2014-11-19 and migrated to Edinburgh DataShare on 2017-02-22.
description: ESRI Shapefile
DOI: 10.7488/ds/1967
title: Landcover Classification of Luambe National Park and Surrounding Game Management Areas, Zambia

description: Luambe National Park (LNP) is a small, remote and relatively undeveloped national park in the Luangwa Valley, eastern Zambia. Baseline ecological data have been lacking and few publications relating to the ecology of the national park and surrounding game management area (GMA) exist. The aim of this work was to produce an accurate landcover classification that could be used as a baseline dataset for monitoring ecological health in the park. Fuzzy set theory was used to classify remotely sensed Landsat 7 ETM+ imagery with a spatial resolution of 30m. A ground survey to collect training and test data was conducted in August and September 2005. The most recent L1G Landsat dataset was obtained from the Global Land Cover Facility maintained by the University of Maryland (acquisition date 04/10/2001, path 170, row 069, cloud cover 0%). Bands one, two, three, four, five and seven were used for the classification. Erdas Imagine 8.4 (Leica Geosystems AG, Atlanta, USA) was used to perform a supervised classification using the maximum likelihood classifier with activation of the fuzzy classification function. The eight-layered output dataset was then processed to a single-layer hard classification using the fuzzy convolution facility. An error matrix was produced and producer’s and user’s accuracies calculated for each class. Nine landcover classes were identified and the overall accuracy of the classification was 71.2% (95% CI: 65.3-76.7%). The overall kappa statistic was 0.67 and the estimator of kappa (KS) for stratified random sampling was 0.74. This is the complete dataset covering both the national park and the surrounding GMA. The dataset for the national park alone can be found using the identifier http://hdl.handle.net/10672/606. Developed as part of Neil Anderson’s thesis entitled ‘An Investigation into the Ecology of Trypanosomiasis in the Luangwa Valley, Zambia’ (PhD thesis, University of Edinburgh 2009). Landsat imagery was processed using Erdas Imagine 8.4 (Leica Geosystems AG, Atlanta, USA). Funding was provided by the Royal Zoological Society of Scotland and the United Kingdom Department for International Development Animal Health Programme (DFID-AHP). Other. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2014-09-25 and migrated to Edinburgh DataShare on 2017-02-22.
description: GeoTIFF
DOI: 10.7488/ds/110
title: ARC-Lake v2.0 - Global

description: ARC-Lake v2.0 - Global contains data products with global coverage, i.e. data for all (available) lakes are included in each product. These data products contain observations of Lake Surface Water Temperature (LSWT) and Lake Ice Cover (LIC) from the series of (Advanced) Along-Track Scanning Radiometers ((A)ATSRs). ARC-Lake v2.0 data products cover the period from 1st August 1991 to 31st December 2011. A number of different data products are available and are grouped together into eight zip archives, by product type. A summary of the types of data product available is given on http://datashare.is.ed.ac.uk/handle/10283/88 and full details of the file naming convention and file contents are given in the ARC-Lake Data Product Description document (ARCLake_DPD_v1_1_2.pdf). Note that not all types of data product available on a per-lake basis are available as a global product. Details of the methods used and a list of all lakes and their locations are given in the ARC-Lake Algorithm Theoretical Basis Document (ARC-Lake-ATBD-v1.3.pdf). Additional information about the ARC-Lake project and some basic data analysis tools can be found on the project website: http://www.geos.ed.ac.uk/arclake/ Please cite both this dataset and the related publication: * "MacCallum, Stuart N; Merchant, Christopher J. (2013). ARC-Lake v2.0 - Global, 1991-2011 [Dataset]. University of Edinburgh. School of GeoSciences / European Space Agency. https://doi.org/10.7488/ds/110." * "MacCallum, S.N. and Merchant, C.J. (2012) Surface water temperature observations of large lakes by optimal estimation. Canadian Journal of Remote Sensing, 38 (1). pp. 25-45. ISSN 1712-7971 doi: 10.5589/m12-010"
description: This dataset contains global data products (i.e. all lakes, where available, are included in each data file). The dataset is stored across 8 zip archives, covering unaveraged and averaged observation based data, and averaged reconstruction based data. Details of the zip archive contents are as follows: ALID9999_DGOBS1D.zip - unaveraged observations for day-time ATSR1, ALID9999_DGOBS1N.zip - unaveraged observations for night-time ATSR1 observations, ALID9999_DGOBS2D.zip - unaveraged observations for day-time ATSR2, ALID9999_DGOBS2N.zip - unaveraged observations for night-time ATSR2 observations, ALID9999_DGOBS3D.zip - unaveraged observations for day-time AATSR, ALID9999_DGOBS3N.zip - unaveraged observations for night-time AATSR, ALID9999_CGOBS9B.zip - averaged observations for all three ATSRs, ALID9999_CGREC9B.zip - averaged reconstructions for all three ATSRs.
DOI: 10.7488/ds/161
title: ARC-Lake v2.0 - Per-Lake

description: ARC-Lake v2.0 - Per-Lake contains data products on a lake-by-lake basis. These data products contain observations of Lake Surface Water Temperature (LSWT) and Lake Ice Cover (LIC) from the series of (Advanced) Along-Track Scanning Radiometers ((A)ATSRs). ARC-Lake v2.0 data products cover the period from 1st August 1991 to 31st December 2011. A number of different data products are available for each lake and are grouped together into a zip archive for each lake. A summary of the types of data product available is given on http://datashare.is.ed.ac.uk/handle/10283/88 and full details of the file naming convention and file contents are given in the ARC-Lake Data Product Description document (ARCLake_DPD_v1_1_2.pdf). Individual lake archives are grouped into larger zip archives by continent (with the exception of the Caspian Sea). Details of the methods used and a list of all lakes and their locations are given in the ARC-Lake Algorithm Theoretical Basis Document (ARC-Lake-ATBD-v1.3.pdf). Additional information about the ARC-Lake project and some basic data analysis tools can be found on the project website: http://www.geos.ed.ac.uk/arclake Please cite both this dataset and the related publication: * "MacCallum, Stuart N; Merchant, Christopher J. (2013). ARC-Lake v2.0 - Per-Lake, 1991-2011 [Dataset]. University of Edinburgh. School of GeoSciences / European Space Agency. https://doi.org/10.7488/ds/161." * "MacCallum, S.N. and Merchant, C.J. (2012) Surface water temperature observations of large lakes by optimal estimation. Canadian Journal of Remote Sensing, 38 (1). pp. 25-45. ISSN 1712-7971 doi: 10.5589/m12-010"
description: This dataset contains data products on a lake-by-lake basis. Lakes have been grouped by continents in the following zip archives: ARCLake_africa.zip - data products for lakes in Africa, ARCLake_asia_oceania.zip - data products for lakes in Asia/Oceania, ARCLake_europe.zip - data products for lakes in Europe, ARCLake_great_lakes.zip - data products for the North American Great Lakes, ARCLake_n_america.zip - data products for all other lakes in North America, ARCLake_s_america.zip - data products for lakes in South America, ALID0001.zip - data products for the Caspian Sea. ARCLake_DPD_v1_1_2.pdf - Detailed description of all data products. ARC-Lake-ATBD-v1.3.pdf - Algorithm theoretical basis document (ATBD).
DOI: 10.7488/ds/160
title: ARC-Lake v1.1 - Global

description: ARC-Lake v1.1 - Global contains data products with global coverage, i.e. data for all (available) lakes are included in each product. These data products contain observations of Lake Surface Water Temperature (LSWT) and Lake Ice Cover (LIC) from the series of (Advanced) Along-Track Scanning Radiometers ((A)ATSRs). ARC-Lake v1.1 data products cover the period from 1st June 1995 to 31st December 2009. A number of different data products are available and are grouped together into six zip archives, by product type. A summary of the types of data product available is given on http://datashare.is.ed.ac.uk/handle/10283/88 and full details of the file naming convention and file contents are given in the ARC-Lake Data Product Description document (ARCLake_DPD_v1_1_2.pdf). Note that not all types of data product available on a per-lake basis are available as a global product. A full listing of each zip archive is provided in the ARC-Lake Data Product File List (ARCLake_DPFL_v1_1_2.pdf). Details of the methods used and a list of all lakes and their locations are given in the ARC-Lake Algorithm Theoretical Basis Document (ARCLake_ATBD_v_1_1.pdf). Additional information about the ARC-Lake project and some basic data analysis tools can be found on the project website: http://www.geos.ed.ac.uk/arclake/ Please cite both this dataset and the related publication: * "MacCallum, Stuart N; Merchant, Christopher J. (2011). ARC-Lake v1.1 - Global, 1995-2009 [Dataset]. University of Edinburgh. School of GeoSciences / European Space Agency. https://doi.org/10.7488/ds/160." * "MacCallum, S.N. and Merchant, C.J. (2012) Surface water temperature observations of large lakes by optimal estimation. Canadian Journal of Remote Sensing, 38 (1). pp. 25-45. ISSN 1712-7971 doi: 10.5589/m12-010"
description: This dataset contains global data products (i.e. all lakes, where available, are included in each data file). The dataset is stored across 6 zip archives, covering unaveraged observation based data and averaged reconstruction based data. Details of the zip archive contents are as follows: ALID9999_DGOBS2D.zip - unaveraged observations for day-time ATSR2, ALID9999_DGOBS2N.zip - unaveraged observations for night-time AATSR observations, ALID9999_DGOBS3D.zip - unaveraged observations for day-time ATSR2, ALID9999_DGOBS3N.zip - unaveraged observations for night-time AATSR.
DOI: 10.7488/ds/1335
title: Carbon Electrode Test Structures and Electrochemical Results
title: Data used in: "Test Structures for the Characterisation of Conductive Carbon Produced from Photoresist"

description: 1. Electrical sheet resistance data from micro-fabricated conductive carbon test structure prepared from standard photoresist materials. 2. Electrochemical characterisation of carbon micro electrodes prepared using the same processes as used for electrical test structures.
DOI: 10.7488/ds/1354
title: Use of a miniature diamond-anvil cell in high-pressure single-crystal neutron Laue diffraction.

description: Data supporting Binns et al "Use of a miniature diamond-anvil cell in high- pressure single-crystal neutron Laue diffraction" IUCrJ.
description: The folders within the zip file correspond to the data-set codes used in the above paper. * A_300: Crystal A of hexamethylenetetramine at 300 K and ambient pressure. * B_300: Crystal B of hexamethylenetetramine at 300 K and ambient pressure. * B_150: Crystal B of hexamethylenetetramine at 150 K and ambient pressure. * B_DAC_300: Crystal B of hexamethylenetetramine at 300 K and in a diamond anvil cell. * B_DAC_150: Crystal B of hexamethylenetetramine at 150 K and in a diamond anvil cell. * R_300: L-Arginine dihydrate at 300 K and ambinet pressure. * R_DAC: L-Arginine dihydrate at 300 K and in a diamond anvil cell. Data are in tif format images. Instrument sample settings are given in _koala.log.
DOI: 10.7488/ds/1435
title: Listening test materials for "A template-based approach for speech synthesis intonation generation using LSTMs"

description: This data release contains listening test materials associated with the paper "A template-based approach for speech synthesis intonation generation using LSTMs", presented at Interspeech 2016 in San Francisco, USA.
description: Please see readme.txt for a description of dataset contents.
DOI: 10.7488/ds/1716
title: Test something

description: Obsolete - this item was created as a test. Please ignore.