This dataset is about books and is filtered where the book is Geometry, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).

This child item contains bathymetric measurements of the channel geometry suitable for use in computing cross-sectional area for each field site.
Each Field Site is abbreviated in various files in this data release. File and folder names quickly identify which site a particular file or dataset represents. The following abbreviations are used:

• ACS: Anthracite Creek at Somerset, Colorado, USA
• BRA: Blue River below Dillon, Colorado, USA (collected in August 2023)
• BRJ: Blue River below Dillon, Colorado, USA (collected in June 2023)
• CRG: Colorado River below Glenwood Springs, Colorado, USA
• CRR: Colorado River above Roaring Fork River at Glenwood Springs, Colorado, USA
• ERW: Eagle River below Milk Creek near Wolcott, Colorado, USA
• MCA: Maroon Creek near Aspen, Colorado, USA
• RFG: Roaring Fork at Glenwood Springs, Colorado, USA

Dataset

This dataset was created by Shamankov Nikolay

Contents

This dataset provides geometric parameters for the regular 0.5-degree lat-lon grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Parameters include areas and lengths of grid cell sides and the horizontal and vertical coordinates of grid cell centers and corners. Additional information related to the global domain geometry (e.g., bathymetry and land/ocean masks) are also included. However, users should note these domain geometry fields are approximations because they have been interpolated from the ECCO lat-lon-cap 90 (llc90) native model grid. Users interested in exact budget closure calculations for volume, heat, salt, or momentum should use ECCO fields provided on the llc90 grid. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.

Data set describing the geometry and orientations of the spacecraft and the collector plate during the two interstellar dust collection phases and the Wild 2 encounter.

This dataset contains cross-section geometry and sediment-size data collected in the fall of 2019 from Muddy Creek and North Fork Gunnison River below Paonia Reservoir, western Colorado. Six cross sections were surveyed using Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) methods to document channel geometry below Paonia Reservoir. One cross section was surveyed on Muddy Creek below Paonia Reservoir, and five cross sections were surveyed from North Fork Gunnison River below Paonia Reservoir. All six cross sections are incorporated in this data release within one shapefile. Pebble counts were performed at each of the six cross sections to document sediment-size downstream from the reservoir. Four transects were completed at each cross section, where sediment size was measured and recorded. Sediment-size data are presented in .CSV files, with one file for each cross-section location, incorporating all of the data for each of the four transects at that location.

This data set contains cross-section geometry and sediment-size distribution data collected in the fall of 2017 from Muddy Creek and North Fork Gunnison River below Paonia Reservoir, western Colorado. Six cross-sections were surveyed using Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) methods to document channel geometry below the reservoir in 2015. Those same cross-sections were re-surveyed using the same methods in 2016 and 2017 to document any changes. One cross-section was surveyed on Muddy Creek below Paonia Reservoir, and five cross-sections were surveyed from North Fork Gunnison River below Paonia Reservoir. All six cross-sections are incorporated in this data release within one shapefile. Pebble counts were performed at each of the six cross-sections to document sediment-size distributions downstream from the reservoir. Four transects were located in the vicinity of each cross-section, where sediment size was measured and recorded. All of the sediment-size distribution data are presented in .CSV files, with one file for each cross-section location incorporating all of the data for each of the four transects at that location.

Subduction zones are home to the most seismically active faults on the planet. The shallow megathrust interface of subduction zones host our largest earthquakes, and are the only faults capable of M9+ ruptures. Despite these facts, our knowledge of subduction zone geometry - which likely plays a key role in determining the spatial extent and ultimately the size of subduction zone earthquakes - is incomplete. Here we calculate the three- dimensional geometries of all active global subduction zones. The resulting model - Slab2 - provides for the first time a comprehensive geometrical analysis of all known slabs in unprecedented detail.

Geophysical ground penetrating radar data. This dataset is not publicly accessible because: The data is controlled by Kutztown University (PA). It can be accessed through the following means: The first author, Laura Sherrod, can be contactec for access to the data. Format: Geophysical ground penetrating radar data. This dataset is associated with the following publication: Sherrod, L., W. Sauck, E. Simpson, D. Werkema, and J. Swiontek. Case Histories of GPR for Animal Burrows Mapping and Geometry. JOURNAL OF ENVIRONMENTAL AND ENGINEERING GEOPHYSICS. Environmental and Engineering Geophysical Society, Denver, CO, USA, 24(1): 1-17, (2019).

*** THIS ITEM IS SHARED FROM ArcGIS Enterprise ***data last loaded in February, 2023

Dataset

This dataset was created by El massafi Ibrahim

Released under CC0: Public Domain

Contents

Regional Technical Paper (1996) - Linear Geometry Elements

This layer contains data for the Final NC 2018 Integrated Report and is used to run the 2018 Integrated Report Dashboard. The geometry in this layer has been simplified to remove detailed bends in the waterbody (while keeping the overall shape) to enable quicker drawing when viewing online.***All NC waters are in Category 4 for Mercury in Fish Tissue. These are not included in this layer.***

This dataset is about book series and is filtered where the books is Stochastic geometry and its applications, featuring 2 columns: book series, and publication dates. The preview is ordered by number of books (descending).

Datasets associated with this paper such as geometries used are shared here.

Global Track Geometry Measurement System Market size will exceed a valuation of USD 5.48 billion by 2032, to grow at a CAGR of 5.2% during the forecast period.

Seed Planning Zone (SPZ) geometry is comprised of geographic areas of the province that are characterized by common ecological and genetic attributes for a given forest tree species. SPZ's are used for seedlot registration, seed planning, seed transfer and seedlot selection for reforestation. The geometry can be joined to the SEED_PLAN_ZONE table using SEED_PLAN_ZONE_ID to determine if the SPZ is for Genetic Class B (natural stand) or Genetic Class A (orchard/parent tree) and tree species.

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. Dataset History A point geometry shapefile was created by extracting from the source file spring locations located within a manually created bounding box including the GAL zone of potential hydrological change. Dataset Citation Bioregional Assessment Programme (2017) Springs of the Galilee subregion - Points Geometry. Bioregional Assessment Derived Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/d0b46bf8-b29f-48e1-a655-8148fd9b02ac. Dataset Ancestors Derived From Queensland wetland data version 3 - wetland areas. Derived From Geofabric Surface Cartography - V2.1 Derived From Landscape classification of the Galilee preliminary assessment extent Derived From Geofabric Surface Cartography - V2.1.1 Derived From QLD Springs Dataset 2016 Derived From QLD Springs Dataset 2016 v02 Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb) Derived From Queensland groundwater dependent ecosystems Derived From GEODATA TOPO 250K Series 3 Derived From Multi-resolution Valley Bottom Flatness MrVBF at three second resolution CSIRO 20000211 Derived From Landscape classification of the Galilee preliminary assessment extent Derived From Biodiversity status of pre-clearing and remnant regional ecosystems - South East Qld

This dataset is about books and is filtered where the book is Algebra & geometry : an introduction to university mathematics, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).

This dataset is about book subjects and is filtered where the books is Conformal maps and geometry, featuring 10 columns including authors, average publication date, book publishers, book subject, and books. The preview is ordered by number of books (descending).