77 datasets found
  1. i

    Human Geography Map

    • indianamap.org
    • data.baltimorecity.gov
    • +12more
    Updated Feb 2, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2017). Human Geography Map [Dataset]. https://www.indianamap.org/maps/3582b744bba84668b52a16b0b6942544
    Explore at:
    Dataset updated
    Feb 2, 2017
    Dataset authored and provided by
    Esri
    Area covered
    Description

    The Human Geography Map (World Edition) web map provides a detailed vector basemap with a monochromatic style and content adjusted to support Human Geography information. Where possible, the map content has been adjusted so that it observes WCAG contrast criteria.This basemap, included in the ArcGIS Living Atlas of the World, uses 3 vector tile layers:Human Geography Label, a label reference layer including cities and communities, countries, administrative units, and at larger scales street names.Human Geography Detail, a detail reference layer including administrative boundaries, roads and highways, and larger bodies of water. This layer is designed to be used with a high degree of transparency so that the detail does not compete with your information. It is set at approximately 50% in this web map, but can be adjusted.Human Geography Base, a simple basemap consisting of land areas in a very light gray only.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Learn more about this basemap from the cartographic designer in Introducing a Human Geography Basemap.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.

  2. a

    Human Geography Map

    • hub.arcgis.com
    • cacgeoportal.com
    Updated Apr 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Central Asia and the Caucasus GeoPortal (2024). Human Geography Map [Dataset]. https://hub.arcgis.com/maps/fab47203217543328f50448dd03d90ef
    Explore at:
    Dataset updated
    Apr 1, 2024
    Dataset authored and provided by
    Central Asia and the Caucasus GeoPortal
    Area covered
    Description

    This is a subset of World Biomass Image Layer to focus on Central Asia and Caucasus Region. Use this web map to visualize and understand the Biomass for that region. Use image layer for your analysis. Plants play a central role in the carbon cycle by absorbing carbon dioxide from the atmosphere and incorporating it in the structure of the plant. Globally living plants contain 500 billion metric tons of carbon, more than 60 times the amount of carbon released to the atmosphere by humans each year. Understanding the distribution of the carbon stored in living plants, known as biomass, is key to estimating the effects of land use change on the climate.Dataset SummaryThis layer provides access to a 1-km cell-sized raster with data on the density of carbon stored in living plants in metric tons per hectare for the year 2000. It was published by the Oak Ridge National Laboratory Carbon Dioxide Information Analysis Center in 2008.The authors of these data request that they be cited as:Ruesch, Aaron, and Holly K. Gibbs. 2008. New IPCC Tier-1 Global Biomass Carbon Map For the Year 2000. Available online from the Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee.What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop.This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometers on a side or an area approximately the size of Europe. The Esri Insider Blog provides an introduction to the Ecophysiographic Mapping project.

  3. i

    Human Geography Dark Map

    • indianamap.org
    • data.baltimorecity.gov
    • +10more
    Updated May 4, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2017). Human Geography Dark Map [Dataset]. https://www.indianamap.org/maps/4f2e99ba65e34bb8af49733d9778fb8e
    Explore at:
    Dataset updated
    May 4, 2017
    Dataset authored and provided by
    Esri
    Area covered
    Description

    The Human Geography Dark Map (World Edition) web map provides a detailed world basemap with a dark monochromatic style and content adjusted to support human geography information. Where possible, the map content has been adjusted so that it observes WCAG contrast criteria.This basemap, included in the ArcGIS Living Atlas of the World, uses 3 vector tile layers:Human Geography Dark Label, a label reference layer including cities and communities, countries, administrative units, and at larger scales street names.Human Geography Dark Detail, a detail reference layer including administrative boundaries, roads and highways, and larger bodies of water. This layer is designed to be used with a high degree of transparency so that the detail does not compete with your information. It is set at approximately 50% in this web map, but can be adjusted.Human Geography Dark Base, a simple basemap consisting of land areas in a very dark gray only.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Learn more about this basemap from the cartographic designer in A Dark Version of the Human Geography Basemap.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

  4. Human Geography Regions Map Analysis

    • library.ncge.org
    Updated Jul 27, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NCGE (2021). Human Geography Regions Map Analysis [Dataset]. https://library.ncge.org/documents/6ef711a51646406e9eff1bd92b61777d
    Explore at:
    Dataset updated
    Jul 27, 2021
    Dataset provided by
    National Council for Geographic Educationhttp://www.ncge.org/
    Authors
    NCGE
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Author: Ann Wurst, consultantGrade/Audience: ap human geographyResource type: activitySubject topic(s): regional geography, maps, human geographyRegion: worldStandards: AP Human Geography CED TOPIC 1.7 Regional Analysis LEARNING OBJECTIVE SPS-1.A Describe different ways that geographers define regions. ESSENTIAL KNOWLEDGE SPS-1.A.1 Regions are defined on the basis of one or more unifying characteristics or on patterns of activity. SPS-1.A.2 Types of regions include formal, functional, and perceptual/vernacular. SPS-1.A.3 Regional boundaries are transitional and often contested and overlapping. SPS-1.A.4 Geographers apply regional analysis at local, national, and global scales.Objectives: Students will be able to describe different ways that geographers define regions. Students wll be able to define Regions on the basis of one ormore unifying characteristics or on patterns of activity. Students will be able to identify the types of regions (formal, functional, and perceptual/vernacular.) Students will understand that Geographers apply regional analysis at local, national, and global scales. Summary: A mapping activity that helps students identify and reflect on the regions used in AP Human Geography classes. Students will be expected to answer some culminating questions after creating their map.

  5. a

    Procedural Human Action Videos - Depth Maps

    • academictorrents.com
    bittorrent
    Updated Jul 14, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cesar Roberto de Souza and Adrien Gaidon and Yohann Cabon and Antonio Manuel Lopez Pena (2017). Procedural Human Action Videos - Depth Maps [Dataset]. https://academictorrents.com/details/eb1ae18213ba0fb97e33ed773eea900a8374efd0
    Explore at:
    bittorrent(124045814703)Available download formats
    Dataset updated
    Jul 14, 2017
    Dataset authored and provided by
    Cesar Roberto de Souza and Adrien Gaidon and Yohann Cabon and Antonio Manuel Lopez Pena
    License

    https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified

    Description

    Procedural Human Action Videos (PHAV) ——————————————————- This torrent contains the Procedural Human Action Videos (PHAV) dataset. This version of the dataset contains 39,982 videos that have been generated by a computer. The dataset is made available under the Creative Commons BY-NC-SA (Attribution-NonCommercial-ShareAlike 4.0 International) license. This sub- directory contains the Depth Map data modality of these videos. A human-readable version of the license terms is available at: - The full license terms are available at: - By using PHAV, you agree to abide to the terms of the Creative Commons BY-NC-SA license. If you do not agree with the terms of this license, please contact the dataset authors for other licensing options. For more information, including details

  6. a

    Human Geography Label - Copy

    • uscssi.hub.arcgis.com
    Updated Apr 24, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Spatial Sciences Institute (2023). Human Geography Label - Copy [Dataset]. https://uscssi.hub.arcgis.com/maps/fe72f66575ff43319620c83a356d978c
    Explore at:
    Dataset updated
    Apr 24, 2023
    Dataset authored and provided by
    Spatial Sciences Institute
    Area covered
    Description

    This vector tile layer provides a detailed vector basemap for world labels designed to draw attention to your thematic content. This is similar in content and style to the popular Light Gray Canvas map. This vector tile layer is built using the same data sources used for the Light Gray Canvas and other Esri basemaps. The map includes labels for highways, major roads, minor roads, water features, cities, landmarks, and administrative boundaries. Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.Customize this MapBecause this map includes a vector tile layer, you can customize the map to change its content and symbology. You are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. For details on how to customize this map, please refer to the Esri Vector Basemap Reference Document (v2) and vector basemap articles on the ArcGIS Online Blog, including Introducing a Human Geography Basemap.Fonts available for use in the style resource directory are under the OFL, Open Font License.This map was designed and created by Andrew Skinner.

  7. Global 100m Terrestrial Human Footprint (HFP-100)

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Nov 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Joseph Mazzariello; Francis Gassert (2023). Global 100m Terrestrial Human Footprint (HFP-100) [Dataset]. http://doi.org/10.5061/dryad.ttdz08m1f
    Explore at:
    zipAvailable download formats
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    Vizzuality (Spain)
    Impact Observatory, Inc.
    Authors
    Joseph Mazzariello; Francis Gassert
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Maps depicting the intensity of human pressure on the environment have become a critical tool for spatial planning and management, monitoring the extent of human influence across Earth, and identifying critical remaining intact habitat. Yet, these maps are often years out of date by the time they are available to scientists and policy-makers. Here we provide an updated Human Footprint methodology to run on an annual basis to monitor changing anthropogenic pressures. Software and methods are parameterized to enable regular updates in the future. In addition, we release a 100-meter global dataset for the years 2015–2019 and 2020 based on land use, population, infrastructure, and accessibility data. Results show high levels of agreement in validation against expert-interpreted satellite imagery and improved performance compared to previous iterations of similar datasets. These maps are directly relevant to measuring progress towards national and international targets related to biodiversity conservation and sustainable development. Methods This dataset was created by combining data on human pressures across the period 2015 to 2019 and for 2020 to map: 1) Land cover change (built environments, crop lands, and pasture lands), 2) population density, 3) electric infrastructure, 4) roadways, 5) railways, and 6) navigable waterways. Each pressure layer is assigned a score relative to its level of human pressure, then computed into a standardized scale of 0–50 as the sum of all pressure layers. Pressures are not mutually exclusive, rather the co-occurrence of pressures is intended to identify the greatest levels of human impact. The majority of layers cover the complete time period of 2015–2020, however, pressures from pasture, roads, and railways are treated as static in the Human Footprint maps due to limitations in the input datasets. Scripts used to produce this data are available at: https://gitlab.com/impactobservatory/dwi-humanfootprint Overall methodology is based on the following: --B. A. Williams, O. Venter, J. R. Allan, S. C. Atkinson, J. A. Rehbein, M. Ward, M. Di Marco, H. S. Grantham, J. Ervin, S. J. Goetz, A. J. Hansen, P. Jantz, R. Pillay, S. Rodríguez-Buriticá, C. Supples, A. L. S. Virnig, J. E. M. Watson, Change in Terrestrial Human Footprint Drives Continued Loss of Intact Ecosystems. One Earth. 3, 371–382 (2020). --E. W. Sanderson, M. Jaiteh, M. A. Levy, K. H. Redford, A. V. Wannebo, G. Woolmer, The Human Footprint and the Last of the Wild: The human footprint is a global map of human influence on the land surface, which suggests that human beings are stewards of nature, whether we like it or not. BioScience. 52, 891–904 (2002). --O. Venter, E. W. Sanderson, A. Magrach, J. R. Allan, J. Beher, K. R. Jones, H. P. Possingham, W. F. Laurance, P. Wood, B. M. Fekete, M. A. Levy, J. E. M. Watson, Global terrestrial Human Footprint maps for 1993 and 2009. Sci. Data. 3, 160067 (2016). Please see the following for more detail: Gassert F, Venter O, Watson JEM, Brumby SP, Mazzariello JC, Atkinson SC and Hyde S, An operational approach to near real-time global high-resolution mapping of the terrestrial human footprint. Front. Remote Sens. 4:1130896. doi: 10.3389/frsen.2023.1130896 (2023)

  8. Human Geography Dark Label

    • cacgeoportal.com
    • hub.arcgis.com
    Updated Nov 3, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2017). Human Geography Dark Label [Dataset]. https://www.cacgeoportal.com/maps/4a3922d6d15f405d8c2b7a448a7fbad2
    Explore at:
    Dataset updated
    Nov 3, 2017
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This vector tile layer presents the Human Geography Dark Label style (World Edition) and provides a detailed vector basemap for the world with a dark monochromatic style and content adjusted to support Human Geography information. The map includes labels for highways, major roads, minor roads, railways, water features, building footprints, and administrative boundaries. It is designed to be used with the Human Geography Dark Detail and Human Geography Dark Base layers. Learn more about this basemap's design from the cartographic designer in this blog. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.This vector tile layer is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.This layer is used in the Human Geography Dark Map web map included in ArcGIS Living Atlas of the World.See the Vector Basemaps group for other vector tile layers. Customize this StyleLearn more about customizing this vector basemap style using the Vector Tile Style Editor. Additional details are available in ArcGIS Online Blogs and the Esri Vector Basemaps Reference Document.

  9. n

    Thinking Geographically - Human-Environment Interaction (1.5) 2020

    • library.ncge.org
    Updated Apr 23, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NCGE (2021). Thinking Geographically - Human-Environment Interaction (1.5) 2020 [Dataset]. https://library.ncge.org/documents/475fb5b8fff34ec28efdf5453f28da08
    Explore at:
    Dataset updated
    Apr 23, 2021
    Dataset authored and provided by
    NCGE
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    3-for-3 activities designed to support Advanced Placement Human Geography.

  10. d

    Data from: Global terrestrial Human Footprint maps for 1993 and 2009

    • datadryad.org
    • data.niaid.nih.gov
    • +2more
    zip
    Updated Nov 17, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Oscar Venter; Eric W. Sanderson; Ainhoa Magrach; James R. Allan; Jutta Beher; Kendall R. Jones; Hugh P. Possingham; William F. Laurance; Peter Wood; Balázs M. Fekete; Marc A. Levy; James E.M. Watson (2016). Global terrestrial Human Footprint maps for 1993 and 2009 [Dataset]. http://doi.org/10.5061/dryad.052q5
    Explore at:
    zipAvailable download formats
    Dataset updated
    Nov 17, 2016
    Dataset provided by
    Dryad
    Authors
    Oscar Venter; Eric W. Sanderson; Ainhoa Magrach; James R. Allan; Jutta Beher; Kendall R. Jones; Hugh P. Possingham; William F. Laurance; Peter Wood; Balázs M. Fekete; Marc A. Levy; James E.M. Watson
    Time period covered
    2016
    Area covered
    Global terrestrial
    Description

    Human Footprint maps7-zip file including the Human Footprint maps for 1993 and 2009, individual pressures, and validation data. A full data description is included as a word file in the download.HumanFootprintv2.7z

  11. Data from: Tox21BodyMap: A webtool to map chemical effects on the human body...

    • catalog.data.gov
    Updated Nov 12, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. EPA Office of Research and Development (ORD) (2020). Tox21BodyMap: A webtool to map chemical effects on the human body [Dataset]. https://catalog.data.gov/dataset/tox21bodymap-a-webtool-to-map-chemical-effects-on-the-human-body
    Explore at:
    Dataset updated
    Nov 12, 2020
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    This manuscript describes development of a novel tool called Tox21BodyMap. This tool is designed to map biological assay data onto organs of the human body, facilitating predictions between chemical exposure and apical effects. Tox21BodyMap maps chemical effects to biological target tissues uses tissue-specific gene expression and high throughput screening data. High throughput screening sources includes ToxCast and Tox21. Tox21BodyMap is a freely available, online tool. This dataset is associated with the following publication: Borrel, A., S. Auerbach, K. Houck, and N. Kleinstreuer. Tox21BodyMap: A webtool to map chemical effects on the human body. NUCLEIC ACIDS RESEARCH. Oxford University Press, Cary, NC, USA, 48(W1): W472-W476, (2020).

  12. e

    Data from: A draft map of the human proteome

    • ebi.ac.uk
    • data.niaid.nih.gov
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Akhilesh Pandey, A draft map of the human proteome [Dataset]. https://www.ebi.ac.uk/pride/archive/projects/PXD000561
    Explore at:
    Authors
    Akhilesh Pandey
    Variables measured
    Proteomics
    Description

    The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here, we report a draft map of the human proteome based on high resolution Fourier transform mass spectrometry-based proteomics technology. In-depth proteomic profiling of 30 histologically normal human samples including 17 adult tissues, 7 fetal tissues and 6 purified primary hematopoietic cells resulted in identification of proteins encoded by greater than 17,000 genes accounting for ~84% of the total annotated protein-coding genes in humans. This large human proteome catalog (available as an interactive web-based resource at http://www.humanproteomemap.org) will complement available human genome and transcriptome data to accelerate biomedical research in health and disease. The authors request that those considering use of this dataset for commercial purposes contact pandey@jhmi.edu.

  13. u

    Human Footprint 2009 (Terrestrial)

    • datacore-gn.unepgrid.ch
    Updated Oct 19, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2018). Human Footprint 2009 (Terrestrial) [Dataset]. https://datacore-gn.unepgrid.ch/geonetwork/srv/api/records/de703488-f155-4742-be36-f8b6ec0419c6
    Explore at:
    ogc:wms-1.3.0-http-get-map, www:link-1.0-http--linkAvailable download formats
    Dataset updated
    Oct 19, 2018
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2009 - Dec 31, 2009
    Area covered
    Description

    The Human Footprint (HFP) provides a measure of the direct and indirect human pressures on the environment globally in years 1993 and 2009. It is derived from remotely-sensed and bottom-up survey information compiled on eight measured variables. This represents not only the most current information of its type, but also the first temporally-consistent set of Human Footprint maps. Data on human pressures were acquired or developed for: 1) built environments, 2) population density, 3) electric infrastructure, 4) crop lands, 5) pasture lands, 6) roads, 7) railways, and 8) navigable waterways. Pressures were then overlaid to create the standardized Human Footprint maps for all non-Antarctic land areas. The Human Footprint maps find a range of uses as proxies for human disturbance of natural systems and can provide an increased understanding of the human pressures that drive macro-ecological patterns, as well as for tracking environmental change and informing conservation science and application. HFP values range from 0 (no human impact) to 50 (heavily human impacted).

    See: Venter, O. et al., 2016. Sixteen years of change in the global terrestrial human footprint and implications for biodiversity conservation. Nature Communications, 7, pp.1–11.

    Data can also be downloaded from ""https://datadryad.org/resource/doi:10.5061/dryad.052q5"">Dryad.

  14. n

    Amanda Bay Satellite Image Map 1:100 000

    • cmr.earthdata.nasa.gov
    • data.aad.gov.au
    • +3more
    cfm
    Updated Apr 19, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2018). Amanda Bay Satellite Image Map 1:100 000 [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214311750-AU_AADC.html
    Explore at:
    cfmAvailable download formats
    Dataset updated
    Apr 19, 2018
    Time period covered
    Dec 1, 1991 - Dec 31, 1991
    Area covered
    Description

    Satellite image map of Amanda Bay, Antarctica. This map was produced for the Australian Antarctic Division by AUSLIG (now Geoscience Australia) Commercial, in Australia, in 1991. The map is at a scale of 1:100 000, and was produced from Landsat 4 TM imagery (124-108, 124-109). It is projected on a Transverse Mercator projection, and shows traverses/routes/foot track charts, glaciers/ice shelves, penguin colonies, stations/bases, runways/helipads, and gives some historical text information. The map has both geographical and UTM co-ordinates.

  15. Structural ensembles of human tRNAs based on cryoEM maps

    • figshare.com
    txt
    Updated Dec 22, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sunandan Mukherjee (2023). Structural ensembles of human tRNAs based on cryoEM maps [Dataset]. http://doi.org/10.6084/m9.figshare.24871854.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    Dec 22, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Sunandan Mukherjee
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Structures of tRNA models dynamically fitted to map obtained from the cryo-electron microscope experiments. Each file consists of an ensemble of 10 atomic models of unmodified and Ψ13- and Ψ55-modified human tRNAGlnUUG, tRNAGlyCCC, tRNAGluUUC and tRNAAspCUG. It also consists of ensemble of Ψ13-, Ψ39- and Ψ55-modified human tRNAGlyCCC.

  16. MOOD Maps of Google community mobility change during the COVID-19 outbreak

    • figshare.com
    xlsx
    Updated Oct 28, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    William Wint; Neil Alexander (2022). MOOD Maps of Google community mobility change during the COVID-19 outbreak [Dataset]. http://doi.org/10.6084/m9.figshare.12130980.v155
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Oct 28, 2022
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    William Wint; Neil Alexander
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.

  17. N

    BrainPedia - Individual maps of first Human Connectome project release:...

    • neurovault.org
    nifti
    Updated Oct 26, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2016). BrainPedia - Individual maps of first Human Connectome project release: punish_vs_baseline [Dataset]. http://identifiers.org/neurovault.image:26566
    Explore at:
    niftiAvailable download formats
    Dataset updated
    Oct 26, 2016
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    glassbrain

    Collection description

    Individual maps from HCP Q1 release (BrainPedia analysis)

    Subject species

    homo sapiens

    Modality

    fMRI-BOLD

    Analysis level

    single-subject

    Cognitive paradigm (task)

    gambling fMRI task paradigm

    Map type

    Z

  18. w

    State Of Wyoming Maps

    • data.wu.ac.at
    pdf
    Updated Dec 24, 2015
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2015). State Of Wyoming Maps [Dataset]. https://data.wu.ac.at/schema/geothermaldata_org/ZWVhNDg0MmYtZDRlYS00OGU4LWI4ZDEtYzA0M2JjNjgyZDQw
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Dec 24, 2015
    Area covered
    80f41218322ef711830743e2e3467a1e43d0b6a8
    Description

    State Of Wyoming Maps

  19. e

    3D cytoarchitectonic map of the human mesial piriform region of the BigBrain...

    • search.kg.ebrains.eu
    Updated Apr 8, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Christian Schiffer; Olga Kedo; Katrin Amunts; Timo Dickscheid (2024). 3D cytoarchitectonic map of the human mesial piriform region of the BigBrain [Dataset]. http://doi.org/10.25493/NQWJ-2EM
    Explore at:
    Dataset updated
    Apr 8, 2024
    Authors
    Christian Schiffer; Olga Kedo; Katrin Amunts; Timo Dickscheid
    Description

    This dataset contains cytoarchitectonic maps of four areas of the mesial piriform region in the BigBrain dataset. The maps are based on reference delineations in serial histological sections of the BigBrain at 1 micron resolution in-plane, with a distance of sections typically not lower than 300 micrometers. The 3D cytoarchitectonic maps were created in two different approaches: (1) As first version, a 3D map of the area was created by interpolation of the respective reference delineations. (2) As a more advanced version, a 3D map was created using deep convolutional neural networks trained on the respective reference delineations. As a result, the latter version also includes delineations of the area in the sections in-between reference delineations. The 3D maps were transformed to the 3D reconstructed BigBrain space and are integrated into the Julich-Brain Cytoarchitectonic Atlas.

  20. Human Mitogen Activated Protein MAP Kinase Interactome

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    John Snow Labs (2021). Human Mitogen Activated Protein MAP Kinase Interactome [Dataset]. https://www.johnsnowlabs.com/marketplace/human-mitogen-activated-protein-map-kinase-interactome/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Area covered
    N/A
    Description

    This dataset contains the interaction data published in A Human Map Kinase Interactome by Bandyopadhyay S. et al. - 2010, which reported all interactions for the human protein Mitogen Activated Protein (MAP) kinase as well as associated annotation data obtained from the Biological General Repository for Interaction databases (BIOGRID) for humans including the protein used to find the modification (bait), and annotations on the proteins pulled during the interaction experiment.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Esri (2017). Human Geography Map [Dataset]. https://www.indianamap.org/maps/3582b744bba84668b52a16b0b6942544

Human Geography Map

Explore at:
167 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 2, 2017
Dataset authored and provided by
Esri
Area covered
Description

The Human Geography Map (World Edition) web map provides a detailed vector basemap with a monochromatic style and content adjusted to support Human Geography information. Where possible, the map content has been adjusted so that it observes WCAG contrast criteria.This basemap, included in the ArcGIS Living Atlas of the World, uses 3 vector tile layers:Human Geography Label, a label reference layer including cities and communities, countries, administrative units, and at larger scales street names.Human Geography Detail, a detail reference layer including administrative boundaries, roads and highways, and larger bodies of water. This layer is designed to be used with a high degree of transparency so that the detail does not compete with your information. It is set at approximately 50% in this web map, but can be adjusted.Human Geography Base, a simple basemap consisting of land areas in a very light gray only.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Learn more about this basemap from the cartographic designer in Introducing a Human Geography Basemap.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.

Search
Clear search
Close search
Google apps
Main menu