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135
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ShareScore release 0.7.1
Dataset results
135 results for “metropolitan area”
Osteoporosis and Fall Prevention With Multiple Interventions in the Metropolitan Area
ClinicalTrials.gov study NCT02483286. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Osteoporosis and Fall Prevention and Posture Correction Interventions in the Metropolitan Area
ClinicalTrials.gov study NCT02803190. IPD Sharing: NO. Countries: 1. Publications: 0.
A Dengue Sero-prevalence Study in the Metropolitan Area of Buenos Aires
ClinicalTrials.gov study NCT05919277. IPD Sharing: NO. Countries: 1. Publications: 0.
Osteoporosis and Fall Prevention High Risk Population Intervention and Follow up in the Metropolitan Area
ClinicalTrials.gov study NCT02608749. IPD Sharing: Not stated. Countries: 1. Publications: 0.
U.S. Census Grids (Summary File 1), 1990: Metropolitan Statistical Areas
The U.S. Census Grids (Summary File 1), 1990: Metropolitan Statistical Areas data set contains grids of demographic and socioeconomic data from the year 1990 U.S. census in ASCII andGeoTIFF formats for 39 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 1990 TIGER/Line Files and census variables (population, households, and housing variables). This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
U.S. Census Grids (Summary File 3), 1990: Metropolitan Statistical Areas
The U.S. Census Grids (Summary File 3), 1990: Metropolitan Statistical Areas data set contains grids of demographic and socioeconomic data from the year 1990 U.S. Census in ASCII and GeoTIFF formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 1990 TIGER/Line Files and census variables (population, households, and housing variables). This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN)
U.S. Population Grids (Summary File 1), 2000: Houston Metropolitan Statistical Area, Alpha Version
The U.S. Population Grids (Summary File 1), 2000: Houston Metropolitan Statistical Area, Alpha Version data set contains an ARC/INFO Workspace with grids of demographic data from the 2000 census. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables) from Summary File 1. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas
The U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas data set contains grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and GeoTIFF formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
U.S. Population Grids (Summary File 3), 2000: New Orleans Metropolitan Statistical Area, Alpha Version
The U.S. Population Grids (Summary File 3), 2000: New Orleans Metropolitan Statistical Area, Alpha Version data set contains an ARC/INFO Workspace with grids of demographic data from the year 2000 census. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (income, poverty, education, housing age). This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas
U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
U.S. Population Grids (Summary File 1), 2000: New Orleans Metropolitan Statistical Area, Alpha Version
U.S. Population Grids (Summary File 1), 2000: New Orleans Metropolitan Statistical Area, Alpha Version contains an ARC/INFO Workspace with grids of demographic data from the 2000 census. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables) from Summary File 1. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
Lisbon metropolitan area 1940-1965-1992-2001 - Thematic Chartography
<p>The thematic cartography sets on three occasions: (1) 2004-05, under the remit of <em>La Explosión de la Ciudad</em> research project; (2) 2009, as a contribution to results of the research project <em>Dinâmicas de Localização, transformação do território e novas centralidades na AML: Que papel para as Políticas Públicas</em>?; (3)2020-22 the information was prepared, to make the database available for a broader audience in the scientific community. </p> <p>The dataset consists of the building footprints in several time windows. At the first moment, the collection (1), correction (2) and improvement of thematic cartography (3) about the forms of urbanisation that shaped the Lisbon Metropolitan Area. The cartography dataset offers the possibility to understand the progress of urbanisation, locally or at the metropolitan level, as well as to develop and integrate analysis with other datasets, notably statistics.</p> <p>Although collaboration mainly occurred in (1), the authors persisted in a route of consistency for almost 20 years, finally allowing the document to be shareable, albeit under certain conditions.</p> <p>The roles are as follows: Sofia Morgado - coordination and concept, methodology and collection of cartography. Pedro George as well up to 2009; Júlio Almeida - methodology, GIS and Data analysis and revisions - gracious and professional contribution, pivotal from the work's inception.</p> <p>As with most of these works, there are limitations. However, we see this set as a life-long legacy, coming from times when this type of information had to be produced by teams, as it was unavailable by the beginning of the 21st century.</p> <p>We may want to come back and offer improvements.</p>
Does the Implementation of Nurse-driven HIV Screening for Key Populations in the Emergency Departments Limit Undiagnosed Infections in the Paris Metropolitan Area? DEPIST Trial (ANRS 14055)
ClinicalTrials.gov study NCT04298801. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Geographically Weighted Regression Modeling of a Nighttime Urban Heat Island in Dar es Salaam Metropolitan Areas
<p>Urban Heat Islands (UHI) is the urban microclimate with higher air temperature than surrounding areas. It is caused by both man-made and natural factors which vary geographically based on weather periods. To have a sustainable future in the environment, there is a need to regulate influence levels of various causative factors that generate UHI. Geographically Weighted Regression (GWR) model is among the spatial regression models that define the non-stationarity of variables. It generates a new equation on each sampled data unlikely global models like Ordinary Least Square (OLS). The study used GWR model to determine the influencing levels of three independent factors named Indexed-based Built-up Index (IBI), albedo and wind speed. Datasets were retrieved from MODIS satellite during the dry period of July from 2000 to 2019. IBI and Albedo were observed to have a strong negative influence with the maximum value of -0.045 and -0.053 respectively although, we expected to observe a positive influence on IBI since buildings emit absorbed energy during the night. Wind speed has a positive influence with the maximum value of 0.028 leading to the shift of heatwaves hence being termed as the secondary driving factor while IBI and Albedo as the primary driving factors. Wind speed is the highest driving factor that shifts emitted energies to other areas. We encourage an innovation in technology that produce higher albedo construction materials. We should improve environmental policies by introducing green cities through horizontal and vertical forests which might decrease the emitted energy into the atmosphere.</p>
Geographically Weighted Regression Modeling of a Daytime Urban Heat Island in Dar es Salaam Metropolitan Areas.
<p>Urban heat island is the phenomenon of having higher temperatures in urban areas compared to surrounding areas. It is caused by the replacement of natural vegetation with construction materials. Geographically Weighted Regression Model (GWR) determines non-stationarity among variables by generating a new equation for each sample size. Moderate Resolution Imaging Spectroradiometer (MODIS) products such as MOD11A1, MCD43A1, MOD09A1 and MOD13A1 are used to acquire Land Surface Temperature (LST), Albedo, Indexed-Based Built-Up Index (IBI) and Enhanced Vegetation Index (EVI) respectively. The highest and lowest coverage of Urban Heat Island of 69% and 43% were observed in 2000 and 2005 respectively. IBI is the leading causative factor by having an influence of 0.023 followed by Albedo, wind speed and EVI with an average of 0.019, 0.016 and -0.015 respectively. We recommend innovation in producing higher albedo construction materials and introducing green city policies.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.