cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7488/ds/1733
title: Water Depth Sheffield Flood 1864

description: Water depths during the Sheffield Flood of 1864. Information adapted from: Machan, Peter. 'The Dramatic Story of The Sheffield Flood?' 1999 ISBN 1-901587-05-3. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-07-01 and migrated to Edinburgh DataShare on 2017-02-21.
description: ESRI Shapefile
DOI: 10.7488/ds/2051
title: Data for Feher, Wonnacott & Smith (2016), Structural priming in artificial languages and the regularisation of unpredictable variation.

description: This data set contains data for a study that presented a novel experimental technique using artificial language learning to investigate the relationship between structural priming during communicative interaction, and linguistic regularity. We trained participants on artificial languages exhibiting unpredictable variation in word order, and subsequently had them communicate using these artificial languages. We conducted two experiments: Experiment 1 manipulated noun phrase ordering (following the paradigm used by Culbertson et al. 2012, 2015) in which the artificial language consisted of noun phrases describing objects with either numerals or adjectives; Experiment 2 described simple actions between two actors, an agent and a patient, and the ordering of the agent and patient nouns was manipulated. We found evidence for structural priming in both grammatical constructions, and across human-human and human-computer interaction. Priming occurred regardless of behavioral convergence: communication led to shared word order use only in human-human interaction, but priming was observed in all conditions. Furthermore, interaction resulted in the reduction of unpredictable variation in all conditions, suggesting a role for communicative interaction in eliminating unpredictable variation. Regularisation was strongest in human-human interaction and in a condition where participants believed they were interacting with a human but were in fact interacting with a computer. We suggest that participants recognise the counter-functional nature of unpredictable variation and thus act to eliminate this variability during communication. Our method offers potential benefits to both the artificial language learning and the structural priming fields, and provides a useful tool to investigate communicative processes that lead to language change and ultimately language design.
DOI: 10.7488/ds/2624
title: Dataset for a hybrid model approach for estimating health burden from NO2 in megacities in China: a case study in Guangzhou
DOI: 10.7488/ds/1753
title: GB Outline

description: Great Britain boundary derived from OS Strategi data. Downloaded from Digimap Ordnance Survey Collection, Boundary Download facility, Jan 2008. Data is available in other formats from Digimap Boundary Download facility. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-07-20 and migrated to Edinburgh DataShare on 2017-02-21.
description: ESRI Shapefile
DOI: 10.7488/ds/1754
title: English Government Office Network Regions (GOR)

description: Government Office (GO) Regions in Shape format derived from OS Boundary-Line data. The Regions were created from Digimap datasets downloaded from Boundary Download of "County" Boundaries and the "District Borough Unitary Authority" boundaries". These were loaded into ArcMap as Shape files and using the map at http://www.gos.gov.uk/common/docs/239408/442543 (which is accessed from http://www.gos.gov.uk/aboutusnat/) as the guide the Regions were identified and merged together from individual Counties, Unitary Authorites and Metropoliatain Districts. The Revision Date of the OS Boundary-Line data is April 2008. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-07-20 and migrated to Edinburgh DataShare on 2017-02-21.
description: ESRI Shapefile
DOI: 10.7488/ds/1407
title: A Non-Topological Mechanism for Negative Linear Compressibility

description: Single crystal diffraction data for UTSA-16 at high pressure.
description: Cifs.cif: Crystallographic Information Files for the structure of UTSA-16 at high pressure. *.fcf: Corresponding single-crystal X-ray diffraction data sets for the structures in cifs.cif
DOI: 10.7488/ds/1939
title: Parishes 2013 Error

description: Ordnance Survey 2013 Boundary Line Parish polygons for East Anglia were passed thru 1SpatialOnline validation test to find kick-backs and spikes among ill-connected polygons. These show that polygon errors submitted to Ordnance Survey in 2011 were indeed corrected in the 2013 Boundary Line release (see Parishes 2010 Error by same author). contains data © Crown copyright and database rights 2013 Ordnance Survey. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2013-11-19 and migrated to Edinburgh DataShare on 2017-02-22.
description: ESRI Shapefile
DOI: 10.7488/ds/1940
title: Medieval Fenlands WGS84

description: CambsGeol ............. 1794 Cambbridgeshire Geology Domesday_ERR .......... 1Spatial Validation test on 1 DrainSubsidy .......... 1641 Lay Subsidy (public taxes) EastAngliaCities ...... curr. East Anglia Cities EastAngliaCoast ....... curr. East Anglia Coast EastAngliaCounties .... curr. East Anglia Counties EastAngliaParishes_ERR 1Spatial Validation test on 2 HighWaterLine ......... curr. East Anglia High Water Line MergeDomesday [1]...... 1087 Plough Team (farm wealth) MergeParishes [2]...... curr. East Anglia Parishes MergeSubsidy .......... 1332 Lay Subsidy (public taxes) All WGS84 (EPSG 4326) projection suitable for web mapping See MedFenMetaNew.pdf for details of source & derivation Contains data © Crown copyright and database rights 2010, 2013 Ordnance Survey. http://blog.zolnai.ca/2013/12/releasing-data-really-works-part-v.html. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2013-12-16 and migrated to Edinburgh DataShare on 2017-02-22.
description: ESRI Shapefile
DOI: 10.7488/ds/1795
title: Geology Dataset for the Jazira Region of Syria

description: This geology dataset complements 13 other datasets as part of a study that compared ancient settlement patterns with modern environmental conditions in the Jazira region of Syria. This study examined settlement distribution and density patterns over the past five millennia using archaeological survey reports and French 1930s 1:200,000 scale maps to locate and map archaeological sites. An archaeological site dataset was created and compared to and modelled with soil, geology, terrain (contour), surface and subsurface hydrology and normal and dry year precipitation pattern datasets; there are also three spreadsheet datasets providing 1963 precipitation and temperature readings collected at three locations in the region. The environmental datasets were created to account for ancient and modern population subsistence activities, which comprise barley and wheat farming and livestock grazing. These environmental datasets were subsequently modelled with the archaeological site dataset, as well as, land use and population density datasets for the Jazira region. Ancient trade routes were also mapped and factored into the model, and a comparison was made to ascertain if there was a correlation between ancient and modern settlement patterns and environmental conditions; the latter influencing subsistence activities. This geology dataset was created to map locations of igneous rock in the Jazira region; geological sediments and relative dates have been mapped and attributed. Russian geologists ascertained that volcanic activity continued into the Holocene and perhaps later, which would have been contemporaneous with the birth of early settlements in the region. It might be possible that this activity affected micro climates in the region or altered river routes (lava flows). Lava flow could have buried archaeological sites as well?. Derived from 1:500,000 scale maps included in Technoexport report. 'The Geology of Syria: Part I and Part II.' USSR: Ministry of Geology, 1967. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-09-20 and migrated to Edinburgh DataShare on 2017-02-21.
description: ESRI Shapefile
DOI: 10.7488/ds/1880
title: Land use data for Edinburgh

description: The GMES Urban Atlas has produced land use data for large urban zones with more than 100 000 inhabitants. The GIS data can be downloaded along with a map for the urban area covered and a report with the metadata. The data here is only for Edinburgh, but data for other large urban areas can be downloaded at http://www.eea.europa.eu/data-and-maps/data/urban-atlas and symbolised with the Layer File contained here. Please refer to the attached document for this information. The data has been reprojected from Lambert Azimuthal Equal Area to OSGB. Please note that it is stated in the attached document that the original coordinate system is UTM 30, however, this is not the case. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2012-04-17 and migrated to Edinburgh DataShare on 2017-02-21.
description: ESRI Shapefile
DOI: 10.7488/ds/1739
title: Population Density Dataset for the Jazira Region of Syria

description: This population dataset complements 13 other datasets as part of a study that compared ancient settlement patterns with modern environmental conditions in the Jazira region of Syria. This study examined settlement distribution and density patterns over the past five millennia using archaeological survey reports and French 1930s 1:200,000 scale maps to locate and map archaeological sites. An archaeological site dataset was created and compared to and modelled with soil, geology, terrain (contour), surface and subsurface hydrology and normal and dry year precipitation pattern datasets; there are also three spreadsheet datasets providing 1963 precipitation and temperature readings collected at three locations in the region. The environmental datasets were created to account for ancient and modern population subsistence activities, which comprise barley and wheat farming and livestock grazing. These environmental datasets were subsequently modelled with the archaeological site dataset, as well as, land use and population density datasets for the Jazira region. Ancient trade routes were also mapped and factored into the model, and a comparison was made to ascertain if there was a correlation between ancient and modern settlement patterns and environmental conditions; the latter influencing subsistence activities. Creation of this population dataset, derived from a 1961 census, was created to compare modern population density patterns with the distribution of ancient settlement patterns to ascertain if patterns are shared. There is a similarity between these patterns with higher concentrations of settlements and population along the banks of rivers until reaching the northern area of the Jazira where both extend across the wider landscape and away from rivers. Derived from 1:1 million scale map produced for the following report: Food and Agriculture Organization (FAO), United Nations. Etude des Ressources en Eaux Souterraines de la Jezireh Syrienne. Rome: FAO, 1966.Population map was copied to mylar and scanned to create a polygon coverage of the soil classes, which include land-use attribute information. Each polygon was labelled and attributed with population count. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-07-05 and migrated to Edinburgh DataShare on 2017-02-21.
description: ESRI Shapefile
DOI: 10.7488/ds/1772
title: UK Shaded Relief Tiff

description: Shaded relief tiff of Great Britain. This GeoTiff was created from SRTM (Shuttle Radar Topography Mission) data and gives a representation of the UK as a relief shaded image. Aerial or Satellite Imagery. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-09-20 and migrated to Edinburgh DataShare on 2017-02-21.
description: GeoTIFF
DOI: 10.7488/ds/2058
title: ## SUPERSEDED ## Computational modelling and simulation of the interaction between NMDA receptors and CaMKII in the postsynaptic neuron

description: ## SUPERSEDED - This item has been replaced by the one which can be found at http://hdl.handle.net/10283/2917 . ## NMDAR and CaMKII interactions in the postsynaptic neuron play crucial roles that underlie our ability to learn and form memories. Their activity varies with time and space, and elucidating this matter is important for understanding how memory works. We develop a computer model that creates realistic 3D movements and reactions of molecules within a cell. It is an isolated model that enables us to look specifically at our molecules of interest, NMDARs and CaMKII. The report aims to answer three main questions which should address: the validity of our model against previous knowledge, the effects of sub-cellular localization on CaMKII and the effects on CaMKII by abolishing CaMKII/NMDAR binding. For the first question, we compared results with published literature. Secondly, counting boxes were added to the cell to assess if PSD regions were associated with higher molecule levels compared to cytosolic regions. Lastly, a mutant model was created to account for effects of CaMKII/NMDAR binding impairments. These experiments found that our model is consistent with what is known about sequence of molecule reactions and timeline of CaMKII activation. We could not conclude that space affects CaMKII activity as suggested, but we found that abolishing the interaction between NMDARs and CaMKII increased levels of free, phosphorylated CaMKII.
DOI: 10.7488/ds/1796
title: CORONA Satellite Image of Area from East of the River Wye to Droitwich, England

description: This CORONA black and white satellite image covers an area extending from east of the River Wye in Wales to Droitwich, England. The ground resolution is between 2 to 3 metres. The dataset also includes a screenshot showing image footprint, which corresponds to the full extent of the captured images. There are four image segments associated with this footprint (DS1104-1043DF001_1a, DS1104-1043DF001_1b, DS1104-1043DF001_1c and DS1104-1043DF001_1d). The image file ending in '1a' has not been processed as there is 90 percent cloud cover associated with that image. This image (DS1104-1043DF001_1b) has about 10 to 20 percent cloud cover. Please note that the spatial accuracy is not reliable and may need to be geo-referenced again, though this was done to situate the image over the corresponding area. This image was cropped to remove scanned negative border, and then geo-referenced in ArcGIS 9.3 using vector data from Digimap OpenStream.This CORONA satellite image was made available from the U.S. Geological Survey. Aerial or Satellite Imagery. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2011-01-07 and migrated to Edinburgh DataShare on 2017-02-21.
description: GeoTIFF
DOI: 10.7488/ds/1701
title: Data supporting Martin et al (2017) "Symmetry-breaking in branching epithelia..."

description: These are raw image datasets and analyses used in a J. Anat. paper (Martin et al., 2017) with the following abstract: Branching morphogenesis of epithelia involves division of cells into leader (tip) and follower (stalk) cells. Published work on cell lines in culture has suggested that symmetry breaking takes place via a secreted autocrine inhibitor of motility, the inhibitor accumulating more in concave regions of the culture boundary, slowing advance of cells there, and less in convex areas, allowing advance and a further exaggeration of the concave/ convex difference. Here we test this hypothesis using a 2D culture system that includes strong flow conditions to remove accumulating diffusible secretions. We find that, while motility does indeed follow boundary curvature in this system, flow makes no difference: this challenges the hypothesis of control by a diffusible secreted autocrine inhibitor. N.B. Data obtained by KC Martin under the direction of Prof Jamie Davies.
description: There is one overall data spreadsheet, and three zipped files containing raw images and analyses of them. The entire context if explained in Martin et al. (2017) Symmetry-breaking in branching epithelia: cells on micro-patterns under flow challenge the hypothesis of positive feedback by a secreted autocrine inhibitor of motility. J. Anat (in press)
DOI: 10.7488/ds/1698
title: Magnetic data (in txt format) included in the paper entitled "Self-assembly of the tetrachlorido(oxalato)rhenate(IV) anion with protonated organic cations: X-ray structures and magnetic properties" (DOI:10.1039/C6CE02025A) published by Brechin and co-workers (Chemistry) in the Journal CrystEngComm, 2017, 19, 503-510.

description: Two novel ReIV compounds of formulae [H2bpy][ReIVCl4(ox)] (1) and [H3biim]2[ReIVCl4(ox)] (2) [H2bpy2+ = 4,4′-bipyridinium dication, H3biim+ = 2,2′-biimidazolium monocation, and ox2− = oxalate dianion] have been synthesised and magneto-structurally characterised. 1 crystallises in the monoclinic system with space group C2/c, and 2 crystallises in the triclinic system with space group P[1 with combining macron]. The ReIV ion in 1 and 2 is six-coordinate, bonded to four chloride ions and two oxalate-oxygen atoms in a distorted octahedral geometry. Short intermolecular ReIV–Cl⋯Cl–ReIV contacts, Cl⋯π type interactions and hydrogen bonds are present in the crystal lattice of both compounds, generating novel supramolecular structures based on the highly anisotropic [ReIVCl4(ox)]2− species. Examination of the magnetic properties of 1 and 2 reveals significant antiferromagnetic coupling between ReIV ions propagated primarily through the ReIV–Cl⋯Cl–ReIV interactions, as evidenced by the occurrence of maxima in the magnetic susceptibility at ca. 12 (1) and 17 K (2).
DOI: 10.7488/ds/1744
title: Deaths in Sheffield Flood 1864

description: Locations and details of victims whose deaths occurred during the Sheffield Flood of 1864. Information adapted from: Machan, Peter. 'The Dramatic Story of The Sheffield Flood?' 1999 ISBN 1-901587-05-3. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-07-06 and migrated to Edinburgh DataShare on 2017-02-21.
description: ESRI Shapefile
DOI: 10.7488/ds/1742
title: Damage caused by Sheffield Flood 1864

description: Locations and descriptions of damage which occurred during the Sheffield Flood of 1864. Information adapted from: Machan, Peter. 'The Dramatic Story of The Sheffield Flood?' 1999 ISBN 1-901587-05-3. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-07-06 and migrated to Edinburgh DataShare on 2017-02-21.
description: ESRI Shapefile
DOI: 10.7488/ds/1774
title: GB Canals

description: This dataset shows the location of the canal network in Great Britain. This data was extracted from Ordnance Survey Strategy Data that was released as part of the OS OpenData initiative in April 2010. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-09-22 and migrated to Edinburgh DataShare on 2017-02-21.
description: ESRI Shapefile
DOI: 10.7488/ds/1797
title: CORONA Satellite Image of Area from Gwernogle, Wales to Bronydd, Wales

description: This CORONA panchromatic satellite image covers an area extending from , Wales. The ground resolution is between 2 to 3 metres. The dataset also includes a screenshot showing image footprint, which corresponds to the full extent of the captured images. There are four image segments associated with this footprint (DS1104-1043DF001_1a, DS1104-1043DF001_1c and DS1104-1043DF001_1d). The image file ending in '1a' has not been processed as there is 90 percent cloud cover associated with that image. This image (DS1104-1043DF001_1c) has about 5 percent cloud cover. Please note that the spatial accuracy is not reliable and may need to be geo-referenced again, though this was done to situate the image over the corresponding ground area. Users of this image will be able to identify areas using built environments and features of the physical landscape. This image was cropped to remove scanned negative border, and then geo-referenced in ArcGIS 9.3 using vector data from Digimap OpenStream. This CORONA satellite image was made available from the U.S. Geological Survey. Aerial or Satellite Imagery. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2011-01-13 and migrated to Edinburgh DataShare on 2017-02-21.
description: GeoTIFF
DOI: 10.7488/ds/1342
title: Single crystal X-ray diffraction data for Rhodospirillum rubrum encapsulated ferritin Rru_A0973, short His-tagged variant

description: Single crystal X-ray diffraction images taken for crystals of Ru_A0973 short-His variant. Related to PDBID: 5DA5
DOI: 10.7488/ds/1814
title: Nuclear Power Stations

description: This dataset represents the location of nuclear power stations around the world in 2011. The dataset includes power plants that are not yet online. Information is supplied about the type of reactor (Boiling Water, Fast Breeder, Gas Cooled and so on), the power output and the projected power output where the plant, or a reactor at a plant, is not yet online. In addition, a link to the wikipidea page for the power station is provided where it is available. Also, a KMZ file is provided which has these links embedded in it. Example maps are included in the zip to help explain what information the dataset holds. The shapefile supplied here is derived from the KMZ file which is also included. The source of the KMZ file is: http://maptd.com/worldwide-map-of-nuclear-power-stations-and-earthquake-zones/ but it is unclear if the data was sourced directly from the IEAE or from the following blog http://declanbutler.info/blog/. Either way, the original source of the data is undoubtedly the IEAE http://www.iaea.org/programmes/a2/. To convert the data to shapefile required extensive data manipulation which was carried out in textpad and ArcGIS. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2011-04-01 and migrated to Edinburgh DataShare on 2017-02-21.
description: ESRI Shapefile
DOI: 10.7488/ds/1720
title: SRTM Slope DEM for Great Britain

description: This SRTM Slope Map was created from level 1 SRTM NASA data which was cleaned and had holes patched. The slope map was created in ArcMap (presumably using the simple 3x3 nearest neighbour method). The data does not include the Shetland Islands as SRTM data becomes unreliable at 60N. The cell size is close to 90m. Data was acquired between the 11th - 20th Feb 2000. SRTM Slope Map was created from level 1 SRTM NASA data, slope map generated in ArcGIS using a basic nearest neighbour approach. 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/1813
title: Local Enterprise Partnerships 2010

description: This dataset depicts the Local Enterprise Partnerships from November 2010. Local enterprise partnerships are locally-owned partnerships between local authorities and businesses. On 28 October 2010, Government announced 24 partnerships that were ready to move forward and establish their local enterprise partnership boards. A further 6 partnerships have been announced since October. More information about LEP's can be found here: http://www.communities.gov.uk/localgovernment/local/localenterprisepartnerships/ A small example map is included in the zip file as a jpg. This dataset was derived by working out which districts made up a Local Enterprise Partnership and merging them together to define the LEP's. This was done using BoundaryLine data from OS OpenData. This data will therefore will have to aknowledge that it is based on OS OpenData, hence the Creative Commons Attribution 3.0 license. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2011-03-28 and migrated to Edinburgh DataShare on 2017-02-21.
description: ESRI Shapefile