AndreaBozzo/ceres-open-data-index huggingface dataset:
UAV image and ground data of two citrus 'Valencia' orange (<i>Citrus</i> sinensis [L.] Osbeck) rootstock trials

<p>The data are UAV (Unmanned Aerial Vehicle) and individual tree ground measurements collected from 2 citrus rootstock trials at the U.S. Horticultural Research Laboratory Picos Road farm site, Ft. Pierce, Florida, USA located at 27.437115254946757, -80.42786069428246. The trees in both trials were Valencia sweet orange scion grafted onto various rootstock selections and varieties. The trials are designated as Valencia 5-16 and Valencia 17-28, which indicate the row numbers used for each trial. Valencia 5-16 includes 648 trees and Valencia 17-28 includes 643 trees. The ground data was taken for the 5-16 and 17-28 trials in 2020 and 2021, respectively. The UAV images were taken twice the same day, 5/12/2021, once each under partially sunny (images 27-176) and overcast conditions (images 177-327). A single flight of rows 5-28 for each condition captured both trials. Some of the images under the partially sunny condition show tree shadows when the sun was not obscured behind a cloud, whereas the images under the overcast condition flight have uniform lighting and no sun shadows. Each image is notated to designate the flight condition. For example, the image labeled <strong>DJI_0033_R5-R28_Valencia_sunny.JPG</strong> was taken from the partially sunny flight and the image labeled <strong>DJI_0183_R5-R28_Valencia_overcast.JPG</strong> was taken from the overcast flight. The UAV images were taken using a DJI Phantom 4 Pro drone using a side-overlap of 80% and a forward-overlap of 80% of the flight lines. The images are suitable for orthorectification. The images were red-green-blue (sRGB) in a 3:2 format with 5472 x 3648 pixels. The dataset is included in one folder that contains 305 files – 301 image files, 2 Excel spreadsheets (one for each trial) that contain the planting plan and ground measures, and 2 images with the rows and tree spaces labeled. The 2 labeled images are composite images constructed from the 150 images from the overcast set and were created to label rows and tree space numbers. The composite image is useful for general orientation and matching the individual trees to the ground data and other post-processing image analyses.</p>

Tags: drone, fruit-tree-crops, plant-breeding, rootstocks, scion-rootstock-combinations
Organization: Department of Agriculture
Data from: Temperature effects on development and population growth of two parasitoids (Hymenoptera) of the coffee berry borer (<i>Hypothenemus hampei</i>)

<p dir="ltr">These data are from a study that evaluated the thermal biology of two key parasitoids of <i>Hypothenemus hampei (</i>Coffee berry borer; Coleoptera: Curculionidae): the larval-pupal ectoparasitoid <i>Prorops nasuta</i> (Hymenoptera: Bethylidae) and the adult endoparasitoid <i>Phymastichus coffea</i> (Hymenoptera: Eulophidae). Using age-stage, two-sex life tables across eight constant temperatures, we quantified temperature effects on development, survival, fecundity, and population growth. We identified 22-25°C as the optimal range for survival, and fecundity peaked at 25°C . Life-table parameters indicate maximal population growth at 25°C for both parasitoids. Development failed at extreme temperatures (32 and 35°C), highlighting upper thermal limits relevant to mass-rearing and field releases for both parasitoids. Degree-day models were developed to estimate the potential number of generations across Colombian coffee-growing regions. We predict 5.5-11.6 annual generations of <i>P. nasuta</i> and 2.2-8.6 of <i>P. coffea</i>, depending on local temperature regimes. These results identify optimal temperature ranges for rearing and deploying <i>P. nasuta</i> and <i>P. coffea</i> and provide spatially relevant predications for their establishment potential in Colombian coffee-growing regions. Regions with mean temperatures between 22-28°C are expected to support the greatest efficacy of augmentative biological control programs targeting the coffee berry borer.</p>

Tags: biological-control, coffea-arabica, developmental-threshold, fecundity, longevity, sex-ratio
Organization: Department of Agriculture
US Forest Atlas FIA Forest Type Groups Softwoods (Image Service)

<p><span style='background-color:rgb(255,255,255); color:rgb(76,76,76); font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>This Softwood type dataset portrays 16 forest type groups across the contiguous United States. These data were derived from MODIS composite images from the 2002 and 2003 growing seasons in combination with nearly 100 other geospatial data layers, including elevation, slope, aspect, ecoregions, and PRISM climate data. The dataset was developed as a collaborative effort between the USFS Forest Inventory and Analysis and Forest Health Monitoring programs and the USFS Remote Sensing.</span></span></p>

Tags: 109, 2002, 2003, california-mixed-conifer-group, contiguous-united-states, conus, douglas-fir-group, exotic-softwoods-group, fia, fir, fir-spruce-mountain-hemlock-group, forest-inventory-and-analysis, hemlock-sitka-spruce-group, loblolly-shortleaf-pine-group, lodgepole-pine-group, longleaf-slash-pine-group, moderate-resolution-imaging-spectroradiometer, other-western-softwood-group, pinyon-juniper-group, ponderosa-pine-group, redwood-group, softwood, spruce-fir-group, western-larch-group, western-white-pine-group, white-red-jack-pine-group
Organization: Department of Agriculture
Ecosys EcoMapProvinces 2025

<DIV STYLE="text-align:Left;"><DIV><P><SPAN>The Ecomap 2025 contains a feature class for five different levels of the National Hierarchical Framework of Ecological Units (the Hierarchy. FSM 2060): Ecological Domains, Ecological Divisions, Ecological Provinces, Ecological Sections, and Ecological Subsections. The Ecomap 2025 data set describes the ecological hierarchy within the conterminous United States. Each feature class contains polygons attributed with the code and name of the ecological unit along with the codes and names of broader scale units into which a given ecological unit is nested. It contains regional geographic delineations for analysis of ecological relationships across ecological units. ECOMAP is the term used for a USDA Forest Service initiative to map ecological units and encourage their use in ecosystem-based approaches to forest and range land conservation and management. This is a collaborative effort with many partners. It is coordinated at the national and regional levels by USDA Forest Service staff and implemented in cooperation with State forestry agencies and others. ECOMAP mapping criteria are outlined in the National Hierarchical Framework of Ecological Units (Cleland et al. 1997, FSM 2060). The framework systematically divides the country into progressively smaller areas that have similar geophysical and biological characteristics and ecological processes.</SPAN></P></DIV></DIV>

Tags: biota, division, domain, ecomap, ecoregions, environment, geoscientificinformation, hierarchy, open-data, province, section, subsection
Organization: Department of Agriculture
Ecosys EcoMapDivisions 2025

<DIV STYLE="text-align:Left;"><DIV><P><SPAN>The Ecomap 2025 contains a feature class for five different levels of the National Hierarchical Framework of Ecological Units (the Hierarchy. FSM 2060): Ecological Domains, Ecological Divisions, Ecological Provinces, Ecological Sections, and Ecological Subsections. The Ecomap 2025 data set describes the ecological hierarchy within the conterminous United States. Each feature class contains polygons attributed with the code and name of the ecological unit along with the codes and names of broader scale units into which a given ecological unit is nested. It contains regional geographic delineations for analysis of ecological relationships across ecological units. ECOMAP is the term used for a USDA Forest Service initiative to map ecological units and encourage their use in ecosystem-based approaches to forest and range land conservation and management. This is a collaborative effort with many partners. It is coordinated at the national and regional levels by USDA Forest Service staff and implemented in cooperation with State forestry agencies and others. ECOMAP mapping criteria are outlined in the National Hierarchical Framework of Ecological Units (Cleland et al. 1997, FSM 2060). The framework systematically divides the country into progressively smaller areas that have similar geophysical and biological characteristics and ecological processes.</SPAN></P></DIV></DIV>

Tags: biota, division, domain, ecomap, ecoregions, environment, geoscientificinformation, hierarchy, open-data, province, section, subsection
Organization: Department of Agriculture
Ecosys EcoMapSections 2025

<DIV STYLE="text-align:Left;"><DIV><P><SPAN>The Ecomap 2025 contains a feature class for five different levels of the National Hierarchical Framework of Ecological Units (the Hierarchy. FSM 2060): Ecological Domains, Ecological Divisions, Ecological Provinces, Ecological Sections, and Ecological Subsections. The Ecomap 2025 data set describes the ecological hierarchy within the conterminous United States. Each feature class contains polygons attributed with the code and name of the ecological unit along with the codes and names of broader scale units into which a given ecological unit is nested. It contains regional geographic delineations for analysis of ecological relationships across ecological units. ECOMAP is the term used for a USDA Forest Service initiative to map ecological units and encourage their use in ecosystem-based approaches to forest and range land conservation and management. This is a collaborative effort with many partners. It is coordinated at the national and regional levels by USDA Forest Service staff and implemented in cooperation with State forestry agencies and others. ECOMAP mapping criteria are outlined in the National Hierarchical Framework of Ecological Units (Cleland et al. 1997, FSM 2060). The framework systematically divides the country into progressively smaller areas that have similar geophysical and biological characteristics and ecological processes.</SPAN></P></DIV></DIV>

Tags: biota, division, domain, ecomap, ecoregions, environment, geoscientificinformation, hierarchy, open-data, province, section, subsection
Organization: Department of Agriculture
Ecosys EcomapSubsections 2025

<DIV STYLE="text-align:Left;"><DIV><P><SPAN>The Ecomap 2025 contains a feature class for five different levels of the National Hierarchical Framework of Ecological Units (the Hierarchy. FSM 2060): Ecological Domains, Ecological Divisions, Ecological Provinces, Ecological Sections, and Ecological Subsections. The Ecomap 2025 data set describes the ecological hierarchy within the conterminous United States. Each feature class contains polygons attributed with the code and name of the ecological unit along with the codes and names of broader scale units into which a given ecological unit is nested. It contains regional geographic delineations for analysis of ecological relationships across ecological units. ECOMAP is the term used for a USDA Forest Service initiative to map ecological units and encourage their use in ecosystem-based approaches to forest and range land conservation and management. This is a collaborative effort with many partners. It is coordinated at the national and regional levels by USDA Forest Service staff and implemented in cooperation with State forestry agencies and others. ECOMAP mapping criteria are outlined in the National Hierarchical Framework of Ecological Units (Cleland et al. 1997, FSM 2060). The framework systematically divides the country into progressively smaller areas that have similar geophysical and biological characteristics and ecological processes.</SPAN></P></DIV></DIV>

Tags: biota, division, domain, ecomap, ecoregions, environment, geoscientificinformation, hierarchy, open-data, province, section, subsection
Organization: Department of Agriculture
Ecosys EcoMapDomains 2025

<DIV STYLE="text-align:Left;"><DIV><P><SPAN>The Ecomap 2025 contains a feature class for five different levels of the National Hierarchical Framework of Ecological Units (the Hierarchy. FSM 2060): Ecological Domains, Ecological Divisions, Ecological Provinces, Ecological Sections, and Ecological Subsections. The Ecomap 2025 data set describes the ecological hierarchy within the conterminous United States. Each feature class contains polygons attributed with the code and name of the ecological unit along with the codes and names of broader scale units into which a given ecological unit is nested. It contains regional geographic delineations for analysis of ecological relationships across ecological units. ECOMAP is the term used for a USDA Forest Service initiative to map ecological units and encourage their use in ecosystem-based approaches to forest and range land conservation and management. This is a collaborative effort with many partners. It is coordinated at the national and regional levels by USDA Forest Service staff and implemented in cooperation with State forestry agencies and others. ECOMAP mapping criteria are outlined in the National Hierarchical Framework of Ecological Units (Cleland et al. 1997, FSM 2060). The framework systematically divides the country into progressively smaller areas that have similar geophysical and biological characteristics and ecological processes.</SPAN></P></DIV></DIV>

Tags: biota, division, domain, ecomap, ecoregions, environment, geoscientificinformation, hierarchy, open-data, province, section, subsection
Organization: Department of Agriculture
Bottom temperature product for the northeast U.S continental shelf obtained from a combination combination of observations and models, daily, 1/12 degree, 1959 - 2020

Two ocean products are combined, a regional ocean model (ROMS-NWA) and a global ocean data assimilated models (GLORYS12v1) to build a high-resolution, long-term bottom temperature product for the northeast U.S. continental shelf between 1959 and 2020. ROMS-NWA is bias-corrected using monthly decadal climatologies from ocean observations. Model skill was assessed using a large number of in situ observations. This performance assessment is presented in du Pontavice et al. 2023

Tags: 1 km - < 10 km or approximately .01 degree - < .09 degree, atlantic ocean, biodiversity and ecosystems theme, bottom temperature, climate and weather theme, daily - < weekly, doc/noaa/nmfs/nefsc, earth science, ecosystems dynamics and assessment branch, gcm, gdas, general circulation model, georges bank, global data assimilation system, gulf of maine, middle atlantic bight, national marine fisheries service, noaa, north atlantic ocean, northeast fisheries science center, northeast u.s. continental shelf, ocean, ocean bottom, ocean temperature, oceans, u.s. department of commerce, water oceans and coasts theme, water temperature
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
US Forest Atlas FIA Forest Type Groups Hardwoods (Image Service)

<p><span style='background-color:rgb(255,255,255); color:rgb(76,76,76); font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>This Hardwoods type dataset portrays 12 forest type groups across the contiguous United States. These data were derived from MODIS composite images from the 2002 and 2003 growing seasons in combination with nearly 100 other geospatial data layers, including elevation, slope, aspect, ecoregions, and PRISM climate data. The dataset was developed as a collaborative effort between the USFS Forest Inventory and Analysis and Forest Health Monitoring programs and the USFS Remote Sensing.</span></span></p>

Tags: 109, 2002, 2003, alder-maple-group, ash, aspen-birch-group, contiguous-united-states, conus, elm-ash-cottonwood-group, exotic-hardwoods-group, fia, forest-inventory-and-analysis, hardwoods, maple-beech-birch-group, moderate-resolution-imaging-spectroradiometer, oak-gum-cypress-group, oak-hickory-group, oak-pine-group, other-western-hardwoods-group, tanoak-laurel-group, tropical-hardwoods-group, western-oak-group
Organization: Department of Agriculture
US Forest Atlas FIA Forest Type Groups All CONUS (Image Service)

<p><span style='background-color:rgb(255,255,255); color:rgb(0,0,0); font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>This dataset portrays FIA National Forest Type Groups. Each group is a subset of the National Forest Type dataset which portrays 28 Forest Type Groups across the contiguous United States. Forest Type Groups are aggregations of forest types into logical ecological groupings. These data were derived from MODIS composite images from the 2002 and 2003 growing seasons in combination with nearly 100 other geospatial data layers, including elevation, slope, aspect, ecoregions, and PRISM climate data.</span></span></p>

Tags: forest-type-group
Organization: Department of Agriculture
US Forest Atlas FIA Forest Ownership (Image Service)

<p><span style='background-color:rgb(255,255,255); color:rgb(76,76,76); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size:15px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>This data publication contains 250 meter raster data depicting the spatial distribution of forest ownership types in the conterminous United States. The data are a modeled representation of forest land by ownership type, and include three types of public ownership: federal, state, and local; three types of private: family (includes individuals and families), corporate, and other private (includes conservation and natural resource organizations, and unincorporated partnerships and associations); as well as Native American tribal lands. The most up-to-date data available were used in creating this data publication. A plurality of the ownership data were from 2014, but some data were as old as 2004.</span></span></p>

Tags: corporate, corporateprivate, familyprivate, federalpublic, forest-land, forest-ownership, localpublic, non-forest, other-private, owner-types, private, public, statepublic, tribal
Organization: Department of Agriculture
US Forest Atlas FIA Forest Type Groups All Alaska (Image Service)

<p><span style='background-color:rgb(255,255,255); color:rgb(20,20,20); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>This dataset portrays the forest type group for Alaska. Each group is a subset of the National Forest Type dataset which portrays 28 forest type groups across the contiguous United States. These data were derived from MODIS composite images from the 2002 and 2003 growing seasons in combination with nearly 100 other geospatial data layers, including elevation, slope, aspect, ecoregions, and PRISM climate data.</span></span></p>

Tags: 109, ak, alaska, forest-type-group
Organization: Department of Agriculture
US Forest Atlas FIA Forest Type Groups (Image Service)

<div><strong>Forest-type Groups:</strong></div><div>This dataset portrays the forest type group. Each group is a subset of the National Forest Type dataset which portrays 28 forest type groups across the contiguous United States. These data were derived from MODIS composite images from the 2002 and 2003 growing seasons in combination with nearly 100 other geospatial data layers, including elevation, slope, aspect, ecoregions, and PRISM climate data.</div>

Tags: 109, 2003, aldermaple, aspenbirch, californiamixedconifer, douglasfir, elmashcottonwood, exotichardwoods, exoticsoftwoods, fia, firsprucemountainhemlock, forest-type-group, forestatlas, hardwoods, hemlocksitkaspruce, loblollyshortleafpine, lodgepolepine, longleafslashpine, maplebeechbirch, national-forest-type, oakgumcypress, oakhickory, oakpine, otherwesternhardwoods, otherwesternsoftwoods, pinyonjuniper, ponderosapine, redwood, softwoods, sprucefir, tanoaklaurel, treespecies, tropicalhardwoods, westernlarch, westernoak, westernwhitepine, white-red-jack-pine
Organization: Department of Agriculture
Shellfish Culture at the Milford Laboratory: hatchery production, stock enhancement and aquaculture research

Provide shellfish in support of Milford Lab efforts, external research projects and regional shellfish restoration.  Conduct aquaculture experiments aimed at optimizing static culture of larvae.  Examine new technologies for measuring organismal stress in aquaculture systems.

Tags: aquaculture, aquaculture systems & ecology branch (aseb), bay scallop, continuous, development, doc/noaa/nmfs/nefsc, growth rates, larval growth, larval survival, milford laboratory, mussels, national marine fisheries service, noaa, northeast fisheries science center, oysters, restoration, shellfish, shellfish feed nutrition, shellfish larvae, static shellfish culture, stock enhancement, surf clam, tank culture, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce