Search results for statistical models
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650 datasets for “statistical models”
- data.gov.au
ACT Canopy Cover 2020 1m WESTON
ACT Government Geospatial Data Catalogue (ACTmapi)Updated 1 Oct 2026
… Canopy Height Model CHM was determined = Digital Surface Model (DSM) - Digital Elevation Model (DEM). Pits (empty cells inside …
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- ARCGIS GEOSERVICES REST API
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- +4
- data.gov.au
ACT Canopy Cover 2020 1m WODEN
ACT Government Geospatial Data Catalogue (ACTmapi)Updated 1 Oct 2026
… Canopy Height Model CHM was determined = Digital Surface Model (DSM) - Digital Elevation Model (DEM). Pits (empty cells inside …
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- data.gov.au
ACT Canopy Cover 2020 1m CANBERRA
ACT Government Geospatial Data Catalogue (ACTmapi)Updated 1 Oct 2026
… Canopy Height Model CHM was determined = Digital Surface Model (DSM) - Digital Elevation Model (DEM). Pits (empty cells inside …
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- ARCGIS GEOSERVICES REST API
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- GEOJSON
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- +4
- data.gov.au
ACT Canopy Cover 2020 1m COREE
ACT Government Geospatial Data Catalogue (ACTmapi)Updated 1 Oct 2026
… Canopy Height Model CHM was determined = Digital Surface Model (DSM) - Digital Elevation Model (DEM). Pits (empty cells inside …
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- ARCGIS GEOSERVICES REST API
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- GEOJSON
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- +4
- data.gov.au
ACT Canopy Cover 2020 1m COTTER
ACT Government Geospatial Data Catalogue (ACTmapi)Updated 1 Oct 2026
… Canopy Height Model CHM was determined = Digital Surface Model (DSM) - Digital Elevation Model (DEM). Pits (empty cells inside …
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- GEOJSON
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- +4
- data.gov.au
ACT Canopy Cover 2020 1m GUNGAHLIN
ACT Government Geospatial Data Catalogue (ACTmapi)Updated 1 Oct 2026
… Canopy Height Model CHM was determined = Digital Surface Model (DSM) - Digital Elevation Model (DEM). Pits (empty cells inside …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
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- +4
- data.gov.au
ACT Canopy Cover 2020 1m HALL
ACT Government Geospatial Data Catalogue (ACTmapi)Updated 1 Oct 2026
… Canopy Height Model CHM was determined = Digital Surface Model (DSM) - Digital Elevation Model (DEM). Pits (empty cells inside …
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- ARCGIS GEOSERVICES REST API
- CSV
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- GEOJSON
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- +4
- data.gov.au
ACT Canopy Cover 2020 1m JERRABOMBERRA
ACT Government Geospatial Data Catalogue (ACTmapi)Updated 1 Oct 2026
… Canopy Height Model CHM was determined = Digital Surface Model (DSM) - Digital Elevation Model (DEM). Pits (empty cells inside …
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- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
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- +4
- data.gov.au
ACT Canopy Cover 2020 1m KOWEN
ACT Government Geospatial Data Catalogue (ACTmapi)Updated 1 Oct 2026
… Canopy Height Model CHM was determined = Digital Surface Model (DSM) - Digital Elevation Model (DEM). Pits (empty cells inside …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- +4
- data.gov.au
ACT Canopy Cover 2020 1m MAJURA
ACT Government Geospatial Data Catalogue (ACTmapi)Updated 1 Oct 2026
… Canopy Height Model CHM was determined = Digital Surface Model (DSM) - Digital Elevation Model (DEM). Pits (empty cells inside …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
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- GEOJSON
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- +4
- Data.gov Catalog
Deteriorated Paint Index by County
Office of Policy Development and Research, GIS Helpdesk and Open Data DivisionUpdated 16 Aug 2023
… Analyses were conducted in a Census-approved partner institution Federal Statistical Research Data Center. Exposure to residential lead …
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- +6
- Opendatasoft hubLive preview
Data and Jags code for Folio et al. : Genotype by environment interaction drives the maintenance of genetic variation in a brown trout hybrid zone.
Labonne, JacquesUpdated 25 Nov 2020
… The code describes a statistical model for mixed-effects GLM under JAGS software, to estimate the different factors …
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- GEOJSON
- ODS API
- Opendatasoft hubLive preview
Follicle diameters in wild-type and miR-202 mutant medaka ovaries
Thermes, VioletteUpdated 10 Feb 2026
… It is intended for comparative, statistical, and modeling approaches in reproductive and developmental biology.
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- ODS API
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Data from:Optimising spatial distribution of mass-flowering patches at the landscape scale to increase crop pollination.
INRAE, ENSATUpdated 6 Jan 2026
… First,we parameterised and validated an existing pollination model with field data. Then,we ran two simulation experiments …
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- GEOJSON
- ODS API
- Opendatasoft hubLive preview
Utilisation de l'IA pour un positionnement amélioré des landmarks 3D : corriger les biais des méthodes de registration traditionnelles
Guillaumot, CharlèneUpdated 9 Apr 2026
… file, along with DL model weights and R codes used to perform the statistics in the associated publication.
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- ODS API
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Near-seafloor hydrodynamic data in the western Gulf of Lion, 1 Nov 2012-15 April 2014
Laboratoire d’Etudes en Géophysique et Océanographie Spatiales (LEGOS), CNRS/UPS/CNES/IRD, Avenue Edouard Belin 14, 31400, Toulouse, FranceUpdated 4 Jun 2025
… This dataset was produced to assess the probable distribution of habitats (habitat suitability modeling) for cold-water corals …
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- ODS API
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Data from: Optimising spatial distribution of mass-flowering patches at the landscape scale to increase crop pollination
Desaegher, JamesUpdated 11 Jun 2021
… First, we parameterised and validated an existing pollination model with field data. Then, we ran two simulation experiments …
- CSV
- JSON
- GEOJSON
- ODS API
- Opendatasoft hubLive preview
Necrosis is a major driver of thermal stress-induced mortality in Drosophila melanogaster larvae: cellular and molecular insights across acclimation phenotypes
ECOBIO UMR 6553 CNRS Université de RennesUpdated 13 Mar 2026
… Generalized linear model GLMM : Generalized linear mixed model PCA : Principal component analysis RpL32 : Reference gene used for normalization
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- ODS API
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Agroforice dataset: light simulation on oil palm-based intercropping system and phenotypic measurements of rice in response to light reduction and diurnal variation
Perez, RaphaëlUpdated 9 Mar 2023
Lien vers la fiche source This dataset contains: - simulation outputs of a light model performed on various design …
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- GEOJSON
- ODS API
- Opendatasoft hubLive preview
Replication Data for: Nutrition Transition and the Structure of Global Food Demand
Gouel, ChristopheUpdated 22 Sept 2025
… The resulting model is estimated statistically based on cross-sectional information from FAOSTAT. It captures the main features …
- CSV
- JSON
- GEOJSON
- ODS API