AndreaBozzo/ceres-open-data-index huggingface dataset:
Night Heron Incubation Data

Parental incubation behavior largely influences nest survival, a critical demographic process in avian population dynamics, and behaviors vary across species with different life history breeding strategies. Although research has identified nest survival advantages of mixing colonies, behavioral mechanisms that might explain these effects is largely lacking. We examined parental incubation behavior using video-monitoring techniques on Alcatraz Island, California, of black-crowned night-heron Nycticorax nycticorax (hereinafter, night-heron) in a mixed-species colony with California gulls Larus californicus and western gulls L. occidentalis. We first quantified general nesting behaviors, incubation constancy, and nest attendance, and a suite of specific nesting behaviors (i.e. inactivity, vigilance, preening, and nest maintenance) with respect to six different daily time periods. We employed linear mixed effects models to investigate environmental and temporal factors as sources of variation in incubation constancy and nest attendance using 211 nest days across three nesting seasons (2010–2012). We found incubation constancy (percent of time on the eggs) and nest attendance (percent of time at the nest) were lower for nests that were located &lt; 3 m from one or more gull nest, which indirectly supports the predator protection hypothesis, whereby heterospecifics provide protection allowing more time for foraging and other self-maintenance activities. To our knowledge, this is the first empirical evidence of the influence of one nesting species on the incubation behavior of another. We also identified distinct differences between incubation constancy and nest attentiveness, indicating that these biparental incubating species do not share similar energetic constraints as those that are observed for uniparental species. Additionally, we found that variation in incubation behavior was a function of temperature and precipitation, where the strength of these effects was dependent on the time of day. Overall, these findings strengthen our understanding
of incubation behavior and nest ecology of a colonial-nesting species.

Tags: alcatraz-island, black-crowned-night-herons, incubation-behavior, san-francisco-bay, usgs-5661bc26e4b06a3ea36c578e, video-monitoring
Organization: Department of the Interior
WKBT Soils and Floodplain Nutrients

c)	We examined effects of flooding on supply rates of 14 nutrients in floodplain areas invaded by Phalaris arundinacea (reed canarygrass), areas restored to young successional forests (browsed by white-tailed deer and unbrowsed), and remnant mature forests in the Upper Mississippi River floodplain. Plant Root Simulator ion-exchange probes were deployed for four separate 28-day periods. The first deployment occurred during flooded conditions, while the three subsequent deployments were conducted during progressively drier periods.  Time after flooding corresponded with increases in NO3--N, K+ and Zn+2, decreases in H2PO4--P, Fe+3, Mn+2, and B(OH)4-B, a decrease followed by an increase in NH4+-N, Ca+2, Mg+2 and Al+3, and an increase followed by a decrease for SO4-2-S.  Plant community type had weak to no effects on nutrient supply rates compared to the stronger effects of flooding duration. Our results suggest that seasonal dynamics in floodplain nutrient availability are similarly driven by flood pulses in different community types. However, reed canarygrass invasion has potential to increase availability of some nutrients, while restoration of forest cover may promote recovery of nutrient availability to that observed in reference mature forests.

Tags: connectivity, floodplain-forest, forest-succesion, herbivory, mississippi-river, navigation-pool-8, nutrient-cycles, upper-mississippi-river, usgs-56608ee4e4b071e7ea544e04, wisconsin
Organization: Department of the Interior
Infrared thermography data from the Ivanpah Solar Electric Generating System (ISEGS) Facility Recorded by the USGS during Spring and Fall 2014

In this observational pilot study, we worked at the largest existing solar tower facility in the world (Ivanpah Solar Electric Generating System - ISEGS) to assess the efficacy of using radar, surveillance video, and insect trapping to monitor animals flying near the towers.  During week-long site visits in May and September, we monitored the airspace surrounding towers and observed insects, occasional birds, and bats under a variety of environmental and operational conditions.  This dataset is comprised of the unedited digital thermal samples we gathered during those site visits and consist of 1280x720 pixel arrayed infrared measures from a FLIR SC8340HD science-grade thermal (SGT) camera with a 200mm lens.  The data are stored in SAF file format (with .SFMOV extention) and were analyzed using FLIR ExaminIR software (v1.40.0).  (For camera specifications, see http://www.flir.com/science/display/?id=45674)  The camera was placed 12 m south of base of solar towers, and the field of view was trained on a region of airspace greater than approximately 100 m from the camera that included an area of solar flux just west of the receiver section of the solar towers.  For this project, infrared data were captured at &gt;=10 frames per second, usually during mid- to late morning, for periods ranging from 15 minutes to 6 hours.
Locational information associated with the towers from which recordings were captured:
Tower 1
Recording start date: 9/7/2014
Recording end date: 9/11/2014
Easting (X location, UTM meters): 640371
Northing (Y location, UTM meters): 3933464
UTM Zone: 11 North
Altitude above sea level (meters): 877
Tower 2
Recording start date: 9/3/2014
Recording end date: 9/7/2014
Easting (X location, UTM meters): 638651
Northing (Y location, UTM meters): 3935824
UTM Zone: 11 North
Altitude above sea level (meters): 925
Tower 3
Recording start date: 5/11/2014
Recording end date: 5/22/2014
Easting (X location, UTM meters): 637472
Northing (Y location, UTM meters): 3937887
UTM Zone: 11 North
Altitude above sea level (meters): 972
Coordinate information based on UTM Projection, Zone 11 (Datum: NAD 1983_CORS96, Ellipsoid: GRS_1980)

Tags: animal-movement, bats, birds, infrared, insects, ivanpah-solar-electric-generating-system, ivanpah-valley, migration, mojave-desert, monitoring-and-evaluation, power-generation-sites, solar-energy, solar-flux, solar-power, solar-power-towers, usgs-565c9c82e4b071e7ea542eda, video-monitoring, videography, videos, wildlife, wildlife-and-fisheries
Organization: Department of the Interior
Radar Image Data from the Ivanpah Solar Electric Generating System (ISEGS) Facility Recorded by the USGS during Spring and Fall 2014

In this observational pilot study, we worked at the largest existing solar tower facility in the world (Ivanpah Solar Electric Generating System - ISEGS) to assess the efficacy of using radar, surveillance video, and insect trapping to monitor animals flying near the towers.  During week-long site visits in May and September, we monitored the airspace surrounding towers and observed insects, occasional birds, and bats under a variety of environmental and operational conditions.  This dataset consists of raster portable network graphics (png) images of the planned position indicator (ppi) display from a Furuno FR2127 portable radar unit to a maximum range of 1.5 km.  A new image is written with each rotation of the radar's antenna every ~2.5 seconds yielding over 500,000 images in this study.  The vast majority of radar scatterers detected by the radar represent flying animals, both vertebrates and invertebrates.
Locational Information Associated with the Towers from which Recordings were Captured:
Tower 1
Recording start date: 9/7/2014
Recording end date: 9/11/2014
Easting (X location, UTM meters): 639348
Northing (Y location, UTM meters): 3933455
UTM Zone: 11 North
Altitude above sea level (meters): 915
Elevation angle (meters): 6.5
Tower 2
Recording start date: 9/3/2014
Recording end date: 9/7/2014
Easting (X location, UTM meters): 637708
Northing (Y location, UTM meters): 3936197
UTM Zone: 11 North
Altitude above sea level (meters): 968
Elevation angle (meters): 4.2
Tower 3
Recording start date: 5/11/2014
Recording end date: 5/22/2014
Easting (X location, UTM meters): 637362
Northing (Y location, UTM meters): 3938890
UTM Zone: 11 North
Altitude above sea level (meters): 985
Elevation angle (meters): 9.0
Coordinate information based on UTM Projection, Zone 11 (Datum: NAD 1983_CORS96, Ellipsoid: GRS_1980)

Tags: animal-movement, bats, birds, infrared, insects, ivanpah-solar-electric-generating-system, ivanpah-valley, migration, mojave-desert, monitoring-and-evaluation, power-generation-sites, solar-energy, solar-flux, solar-power, solar-power-towers, usgs-565c9c6de4b071e7ea542ed8, video-monitoring, videography, videos, wildlife, wildlife-and-fisheries
Organization: Department of the Interior
Invertebrate sampling data from the Ivanpah Solar Electric Generating System (ISEGS) Facility Recorded by the USGS during Spring and Fall 2014

In this observational pilot study, we worked at the largest existing solar tower facility in the world (Ivanpah Solar Electric Generating System - ISEGS) to assess the efficacy of using radar, surveillance video, and insect trapping to monitor animals flying near the towers.  During week-long site visits in May and September, we monitored the airspace surrounding towers and observed insects, occasional birds, and bats under a variety of environmental and operational conditions.  This dataset enumerates invertebrates captured using both malaise and funnel traps placed on the ground in the immediate vicinity of solar towers in the locations shown in Figure 2 of the associated paper.  The locational information below therefore is associated with the tower area under examination, not the locations of individual traps.
Locational Information Associated with the Towers from which Recordings were Captured:
Tower 2
Recording start date: 9/3/2014
Recording end date: 9/11/2014
Easting (X location, UTM meters): 638651
Northing (Y location, UTM meters): 3935824
UTM Zone: 11 North
Altitude above sea level (meters): 925
Tower 3
Recording start date: 5/15/2014
Recording end date: 5/21/2014
Easting (X location, UTM meters): 637472
Northing (Y location, UTM meters): 3937887
UTM Zone: 11 North
Altitude above sea level (meters): 972
Coordinate information based on UTM Projection, Zone 11 (Datum: NAD 1983_CORS96, Ellipsoid: GRS_1980)

Tags: animal-movement, bats, birds, infrared, insects, ivanpah-solar-electric-generating-system, ivanpah-valley, migration, mojave-desert, monitoring-and-evaluation, power-generation-sites, solar-energy, solar-flux, solar-power, solar-power-towers, usgs-565c9c4ce4b071e7ea542ed5, video-monitoring, videography, videos, wildlife, wildlife-and-fisheries
Organization: Department of the Interior
Evapotranspiration in the Upper Klamath Basin for May 2013

The evapotranspiration (ET) datasets were created under contract for this study by the University of Idaho. A high-resolution remote sensing technique known as Mapping Evapotranspiration at High Resolution and Internalized Calibration (METRIC) was used to create estimates of the spatial distribution of ET. The METRIC technique uses thermal infrared Landsat imagery to quantify actual evapotranspiration at a 30-meter resolution that can be related to individual irrigated fields. Because evaporation uses heat energy, ground surfaces with large ET rates are left cooler as a result of ET than ground surfaces that have less ET. As a consequence, irrigated fields appear in the Landsat images as cooler than nonirrigated fields. Products produced from this study include total seasonal and total monthly (April-October) actual evapotranspiration maps for 2013.

Tags: california, evapotranspiration, inlandwaters, landsat, lost-river-basin, metric, oregon, remote-sensing, sprague-river-basin, upper-klamath-basin, usgs-56732ac1e4b01a7f824528fc, williamson-river-basin, wood-river-basin
Organization: Department of the Interior
Data Recordings from the Ivanpah Solar Electric Generating System (ISEGS) Facility Recorded by the USGS during Spring and Fall 2014

These data consist of several discrete data resources captured at the Ivanpah Solar Electric Generating System (ISEGS) during 2014. 
The data include 
1) Thermal (infrared) data recordings 
2) Tabular data representing insect (invertebrate) measurements. 
3) Video files 
4) Radar data

Tags: animal-movement, bats, birds, insects, ivanpah-solar-electric-generating-system, ivanpah-valley, migration, mojave-desert, monitoring-and-evaluation, power-generation-sites, solar-energy, solar-flux, solar-power, solar-power-towers, usgs-565c95a7e4b071e7ea542ec3, video-monitoring, videography, videos, wildlife, wildlife-and-fisheries
Organization: Department of the Interior
Estimating Domestic Self-Supply Water Use for the Delaware River Basin, 2000 U.S. Census Blocks

According to the U.S. Geological Survey, an estimated 258 million people nationwide, 
or 86% of the U.S. population, relied on public water supplies for their household use 
in 2005 (USGS, 2013). The remaining population obtains their water from different 
sources, such as a domestic self-supply well. However, the spatial distribution of 
water supply systems has not been compiled. Mapping where these people are 
located can be done within a GIS (Geographic Information System). The approach 
used takes into account a number of different attributes gathered from the United 
States Census Bureau for the block group and block shapes within the Delaware 
River Basin.

Tags: boundaries, bureau-of-census, census-block-shapes, delaware, delaware-river, delaware-river-basin, domestic-self-supply, inland-waters, maryland, new-jersey, new-york, pennsylvania, public-supply, public-water-supply, u-s-geological-survey, usgs-56543d1b-fcfc-4329-9fd0-8795e38f4b2b, water-use, watersmart
Organization: Department of the Interior
ds765_General_metadata: Coastal Topography--Northeast Atlantic Coast, Post-Hurricane Sandy, 2012

Derived products of a portion of the New York, Delaware, Maryland, Virginia, and North Carolina coastlines, post-Hurricane Sandy (Sandy was an October 2012 hurricane that made landfall as an extratropical cyclone on the 29th), were produced by the U.S. Geological Survey (USGS) from remotely sensed, geographically referenced elevation measurements collected by Photo Science, Inc. (Delaware, Maryland, Virgina, and North Carolina) and Woolpert, Inc. (Fire Island, New York) using airborne lidar sensors. Post-storm coastal dune and mean-high-water shoreline features, binary point-cloud data, and digital elevation model (DEM) data are included in this Data Series.

Tags: 2012, altimetry, bathymetry-and-elevation, cessna-206, cessna-310, delaware, delmarva-peninsula, dem, dhigh, digital-elevation-model, digital-elevation-models, distributions, dlow, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, dune-crest, dune-toe, elevation, extratropical-cyclone, fire-island, land-surface-gt-topography-gt-terrain-elevation, laser-altimetry, lidar, lidar-gt-light-detection-and-ranging, long-island, maryland, new-york, north-carolina, ocean-gt-coastal-processes-gt-barrier-islands, ocean-gt-coastal-processes-gt-beaches, ocean-gt-coastal-processes-gt-shoreline-displacement, post-hurricane-sandy, remote-sensing, shoreline, topographic-mapping, topography, united-states, usgs-5650d782-3cd7-4318-a381-2a525a6988f9, virginia
Organization: Department of the Interior
Sub regions for Greater Sage-grouse in Nevada and California (August 2014)

Spatial associations between marked sage-grouse and existing PMU boundaries (Nevada Department of Wildlife, 2014) were used as an initial starting point for delineating subregions for habitat selection analyses and naming conventions across Nevada and northeastern California (fig. 3). Ultimately, the data were partitioned into 19 subregions based on movement patterns of individual radio-marked sage-grouse for habitat analyses, with each grouse occupying one subregion only. Some subregions contained too few marked sage-grouse for sufficient training data to develop a habitat model, which resulted in the exclusion of seven subregions with fewer than 20 marked sage-grouse or less than 100 telemetry locations. However, data from these excluded ‘non-RSF’ subregions were sufficient to provide further validation of the region-wide model in areas that were not used to train the model. After data-screening, we included telemetry data from 12 subregions in the habitat training models: Buffalo-Skedaddle, Butte-Buck-White Pine, Cortez, Desert-Tuscarora, Gollaher-O’Neil, Lincoln-Schell-Snake, Lone Willow, Midway, Sheldon, South Fork-Ruby Valley, Toiyabe, and Virginia Mountains (fig. 4). The spatial extent of habitat availability for use in habitat modeling was defined by first calculating a minimum convex polygon (MCP) that encompassed all telemetry locations within each subregion, and then buffering each MCP by the maximum average daily sage-grouse movement (1,451 m). Using the MCP to identify the study extent is a common and useful approach for habitat studies (Aebischer and others, 1993), and buffering by the maximum average daily movement helps ameliorate underestimation of habitat availability.NOTE: This file does not include habitat areas for the Bi-State management area.Coates, P.S., Casazza, M.L., Brussee, B.E., Ricca, M.A., Gustafson, K.B., Overton, C.T., Sanchez-Chopitea, E., Kroger, T., Mauch, K., Niell, L., Howe, K., Gardner, S., Espinosa, S., and Delehanty, D.J. 2014, Spatially explicit modeling of greater sage-grouse (Centrocercus urophasianus) habitat in Nevada and northeastern California—A decision-support tool for management: U.S. Geological Survey Open-File Report 2014-1163, 83 p., http://dx.doi.org/10.3133/ofr20141163. ISSN 2331-1258 (online)

Tags: biota, biota-boundaries-environment, boundaries, environment, usgs-564e1731e4b0112df6c62eff
Organization: Department of the Interior
Backscatter B [7125]--Offshore San Gregorio, California

This part of SIM 3306 presents data for the acoustic-backscatter map of the Offshore of San Gregorio map area, California. Backscatter data are provided as two separate grids depending on mapping system (Reson 7125 and Reson 8101). The raster data file is included in "BackscatterB_7125_OffshoreSanGregorio.zip," which is accessible from https://pubs.usgs.gov/ds/781/OffshoreSanGregorio/data_catalog_OffshoreSanGregorio.html. These data accompany the pamphlet and map sheets of Cochrane, G.R., Dartnell, P., Greene, H.G., Watt, J.T., Golden, N.E., Endris, C.A., Phillips, E.L., Hartwell, S.R., Johnson, S.Y., Kvitek, R.G., Erdey, M.D., Bretz, C.K., Manson, M.W., Sliter, R.W., Ross, S.L., Dieter, B.E., and Chin, J.L. (G.R. Cochrane and S.A. Cochran, eds.), 2014, California State Waters Map Series—Offshore of San Gregorio, California: U.S. Geological Survey Scientific Investigations Map 3306, pamphlet 38 p., 10 sheets, scale 1:24,000, https://doi.org/10.3133/sim3306.
The acoustic-backscatter map of the Offshore of San Gregorio, California, map area was generated from backscatter data collected by Fugro Pelagos and by California State University, Monterey Bay (CSUMB). Mapping was completed in 2006 and 2007, using a combination of 400-kHz Reson 7125 and 244-kHz Reson 8101 multibeam echosounders. Within the final imagery, brighter tones indicate higher backscatter intensity, and darker tones indicate lower backscatter intensity. The intensity represents a complex interaction between the acoustic pulse and the seafloor, as well as characteristics within the shallow subsurface, providing a general indication of seafloor texture and composition. Backscatter intensity depends on the acoustic source level; the frequency used to image the seafloor; the grazing angle; the composition and character of the seafloor, including grain size, water content, bulk density, and seafloor roughness; and some biological cover. Harder and rougher bottom types such as rocky outcrops or coarse sediment typically return stronger intensities (high backscatter, lighter tones), whereas softer bottom types such as fine sediment return weaker intensities (low backscatter, darker tones).

Tags: acoustic-reflectivity, cmhrp, coastal-and-marine-hazards-and-resources-program, continental-island-shelf, distributions, geoscientificinformation, geospatial-datasets, half-moon-bay, image-mosaics, imagerybasemapsearthcover, maps-and-atlases, marine-geophysics, marine-nearshore-subtidal, marine-offshore-subtidal, northern-california-ecoregion, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, rock-substrate, san-gregorio, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, sidescan-sonar, sonar-methods, state-of-california, transform-continental-margin, u-s-geological-survey, unconsolidated-mineral-substrate, usgs, usgs-54694979-ca52-466b-a3c5-f9c7b618ef2e
Organization: Department of the Interior
Digital elevation model of Little Holland Tract, Sacramento-San Joaquin Delta, California, 2015

This product is a digital elevation model (DEM) for the Little Holland Tract in the Sacramento-San Joaquin River Delta, California based on U.S. Geological Survey (USGS)-collected elevation data, merged with existing topographic and bathymetric elevation data. The USGS collected topographic and bathymetric elevation data in 2015, using a combination of methods. Topographic and shallow-water bathymetric data were collected on foot using a global positioning system (GPS) backpack platform that consisted of survey-grade Trimble R10, and Trimble R7 global navigation satellite system (GNSS) receivers with Zephyr 2 antennas. Bathymetric data were collected using a personal watercraft (PWC) platform that consisted of Trimble R7 GNSS receivers with Zephyr 2 antennas, combined with Odom Echotrac CV-100 single-beam echosounders and 200 kHz transducers. The USGS elevation data were merged with topographic aerial Light Detection and Ranging (lidar) data collected by California Department of Water Resources (DWR) in 2007 and single-beam bathymetric data collected by Environmental Data Solutions (EDS) in 2009 to generate the final DEM. The GeoTIFF raster and comma-delimited text files are available for download at http://doi.org/10.5066/F7RX9954.

Tags: bathymetry-and-elevation, bathymetry-measurement, digital-elevation-models, echo-sounders, elevation, global-positioning-system-gps-observations, gps-global-positioning-system, liberty-island, little-holland-tract, sacramento-river-deep-water-ship-channel, sacramento-san-joaquin-delta, solano-county, topography, usgs-564bafdce4b0ebfbef0d3322, water-depth, yolo-county
Organization: Department of the Interior
Evapotranspiration in the Upper Klamath Basin for April 2013

The evapotranspiration (ET) datasets were created under contract for this study by the University of Idaho. A high-resolution remote sensing technique known as Mapping Evapotranspiration at High Resolution and Internalized Calibration (METRIC) was used to create estimates of the spatial distribution of ET. The METRIC technique uses thermal infrared Landsat imagery to quantify actual evapotranspiration at a 30-meter resolution that can be related to individual irrigated fields. Because evaporation uses heat energy, ground surfaces with large ET rates are left cooler as a result of ET than ground surfaces that have less ET. As a consequence, irrigated fields appear in the Landsat images as cooler than nonirrigated fields. Products produced from this study include total seasonal and total monthly (April-October) actual evapotranspiration maps for 2013.

Tags: california, evapotranspiration, inlandwaters, landsat, lost-river-basin, metric, oregon, remote-sensing, sprague-river-basin, upper-klamath-basin, usgs-5642472ae4b0831b7d62eafb, williamson-river-basin, wood-river-basin
Organization: Department of the Interior