AndreaBozzo/ceres-open-data-index huggingface dataset:
Uncovering the History of the District's Buried Streams - Collection

<p>A collection of story maps to uncover the history of DC's buried streams. Streams, and the aquatic life they support, are precious resources. Like many modern cities, the development history of the District of Columbia includes the draining, piping, and relocation of streams and wetlands to support the built environment. The reduction in surface streams comes with a cost to the health of our waters, the diversity of our wildlife, and our resiliency to climate change. In this StoryMap, we investigate the legacy of stream loss or “burial” as the District evolved into its modern form. We identify these buried streams, and discuss the potential for their restoration and even daylighting prominent streams to the surface.</p><p><strong>Parts of this Project</strong></p><p>The first StoryMap, Streams from our Past, examines the changes that have occurred in the District's stream network from its founding until the present through the context of historic maps.</p><p>The second StoryMap, Streams for the Future, introduces the benefits of stream daylighting and details the example of a project at Broad Branch, a successful stream daylighting project that has occurred within the District.</p>

Tags: aquatic, dc, district-of-columbia, doee, draining, environment, historic-streams, piping, streams, washington-dc, waterways, wetlands
Organization: District of Columbia
Forest Stewardship Program Federal Investment Areas (Image Service)

<div style='text-align:Left;'><div><div><p><span><span>With the Food, Conservation, and Energy Act of 2008 (the 2008 Farm Bill), Congress tasked states and territories to craft assessments of the forests within their boundaries and develop strategies to address threats and forest management opportunities. Now known as Forest Action Plans, these assessments and strategies provide an analysis of forest conditions and trends in the state and delineate priority forest landscape areas. They offer long-term plans for investing state, federal, and other resources where they can be most effective in achieving national conservation goals by addressing the State and Private Forestry (SPF) national priorities and objectives: 1) Conserve working forest lands, 2) Protect forests from harm, and 3) Enhance public benefits from trees and forests. Administered by the US Forest Service and implemented by State forestry agencies, the SPF Forest Stewardship Program encourages private forest landowners to manage their lands using professionally prepared Forest Stewardship plans. Participation in the Forest Stewardship Program requires that states and territories submit a raster dataset of priority areas specific to the Program - aligned with priority landscapes identified in Forest Action Plans - called Forest Stewardship Priority Areas, where they will focus their Program delivery efforts. Program performance measures include acres covered by active Forest Stewardship plans that are within Forest Stewardship Priority Areas</span></span></p><p><span><span>State and territory Forest Stewardship Priority Areas data set submissions are valid for up to 10 (ten) years, but must be reviewed every 5 years and may be updated as frequently as annually.</span></span></p></div></div></div>

Tags: 1_4, areas, edw, enterprise-data-warehouse, forest, iipp, interdepartmental-imagery-publication-platform, priority, stewardship, us-forest-service, usfs
Organization: Department of Agriculture
Data from: Crop Sequence Complexity of the Major Land Resource Areas (MLRA) in the Contiguous United States (CONUS)

<p dir="ltr">Quantifying spatial and temporal dynamics of crop sequences is often accomplished through crop biodiversity metrics. Existing metrics are confounded by crop sequence length, subsequence repetition, and perennialization. Our objective was to formulate a Crop Sequence Complexity Index (CSCI) that accounts for differences in crop sequence lengths, crop sequence compressibility, functional type transitions, and back-to-back perennials. Additionally, we mapped the distribution of crop sequence metrics across the Contiguous United States (CONUS). We joined Crop Sequence Boundary data from the USDA-NASS for two periods: (2008-2015) and (2016-2023) to assemble the 16-year crop sequence of 13.5 million field centroids between 2008 and 2023 and calculated crop sequence metrics aggregated by Major Land Resource Areas (MLRA). We also examined the correlations among crop sequence complexity metrics. We found CSCI was less correlated with both crop sequence length and the number of back-to-back perennials in a crop sequence compared to the Rotational Complexity Index (RCI). Consequently, RCI tended to be lower in MLRA where annual cropping systems dominated, such as the Corn Belt, Mississippi River Basin, and southern Great Plains, and RCI was highest in the irrigated southwestern US. In contrast, CSCI was highest in the northern Great Plains and lowest in the southern Great Plains, with intermediate values throughout most of CONUS. Crop sequences in CONUS usually consist of a very limited number of species. However, crop sequence complexity varies widely because of how sequences ordered functional type transitions, and perennialization. While biophysical constraints are important, socioeconomic factors drive crop sequence complexity.</p>

Tags: crop-rotation-patterns, crop-sequence, crop-sequences, major-land-resource-areas-mlra, source-code
Organization: Department of Agriculture
Johnston Draw (Idaho) High Resolution Burn Severity Map 2023

<p dir="ltr">Accurate mapping of rangeland burn severity is the first step towards managing and mitigating post-fire consequences, but the spatial resolution of freely available, remotely-sensed products is often too coarse to effectively represent the complexity of burned rangelands. We trained a support vector machine to classify burn severity over Johnston Draw (a 1.8 square kilometer prescribed fire study area in southwestern Idaho) at very high spatial resolution (0.5-meter) using post-fire pan-sharpened 8-band Worldview 3 imagery, co-registered with a complimentary pre-fire vegetation map. Burn severity map accuracy was quite high at 88.3% when validated at 1000 randomly distributed points within the study area. In 2023 alone the Bureau of Land Management treated fuels in over 1.2 million acres of rangeland, a quarter of which was treated with prescribed fire, and managing postfire consequences like soil erosion and vegetation recovery requires high-resolution burn severity mapping to inform mitigation on these vast acreages.</p>

Tags: burn-severity-class, fire-mapping, juniper-treatment, prescribed-fire, rangelands, remote-sensing
Organization: Department of Agriculture
Optimizing sampling across methods improves the power of ecological monitoring data

Transect-based monitoring has long been a valuable tool in ecosystem monitoring. These transects are often used to measure multiple ecosystem attributes. The line-point intercept (LPI), vegetation height, and canopy gap intercept methods comprise a set of core methods, which provide indicators of ecosystem condition. However, users struggle to design a sampling strategy that optimizes the ability to detect ecological change using transect-based methods. We assessed the sensitivity of these core methods on a one-hectare plot to transect length, number, and sampling interval to determine: 1) minimum sampling required to describe ecosystem characteristics and detect change for each method and 2) optimal transect length and number for all three methods to make recommendations for future analyses and monitoring efforts. We used data from 13 National Wind Erosion Research Network locations spanning the western US, which included 151 measurements over time across five biomes. We found that longer and increased numbers of transects were more important for reducing sampling error than increased sample intensity along transects. For all methods and indicators across plots, three 100-m transects reduced sampling error so that indicator estimates fall within an 95% confidence interval of +/- 5% for canopy gap intercept and LPI-total foliar cover, +/- 5 cm for height and +/- two species for LPI-species counts. For the same criteria at 80% confidence intervals, two 100-m transects are needed. Site-scale inference was strongly affected by sample design, consequently our understanding of ecological dynamics may be influenced by sampling decisions.<p></p>

Tags: canopy-gaps, core-methods, line-point-intercept, ltar, np216, nsf-lterlong-term-ecological-research, sampling-error, transects, usda-ars-natural-resources-and-sustainable-agricultural-systems-national-program-216-agricultur, vegetation-height
Organization: Department of Agriculture
Sequencing Data from: Environment, plant genetics, and their interaction shape important aspects of sunflower rhizosphere microbial communities [NCBI BioProject]

<p>NCBI BioProject</p>
<ul>
  <li>Description: Houses the amplicon sequencing data (16S and ITS) used in the study.</li>
  <li>BioProject ID: PRJNA1114128</li>
  <li>Link: https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1114128</li>
</ul>
<p><br></p>

Tags: 16s-rdna-amplicon-sequencing, archaeabacteria, climate-effects, community-composition-analysis, fungi-communities, genotype-environment-interactions, geographic-variations, great-plains, helianthus-annuus-l, its-gene-sequencing, microbial-diversities, plant-genetics, plant-microbe-interactions, rhizosphere-microbiomes, sclerotinia, soil-microbial-community, sunflowers
Organization: Department of Agriculture
Data and Code from: Environment, plant genetics, and their interaction shape important aspects of sunflower rhizosphere microbial communities [GitHub repository]

<h3>GitHub Repository</h3><p dir="ltr">   - Description: Contains data, processing and analysis code, initial exploratory figures, final publication figures, and final publication tables.</p><p dir="ltr">   - Link: https://github.com/cliffbueno/Sunflower_AEM</p><p dir="ltr">   - Note: A release of this repository has been archived on Zenodo with a stable DOI: https://zenodo.org/doi/10.5281/zenodo.12193724</p>

Tags: 16s-rdna-amplicon-sequencing, archaeabacteria, climate-effects, community-composition-analysis, fungi-communities, genotype-environment-interactions, geographic-variations, great-plains, helianthus-annuus-l, its-gene-sequencing, microbial-diversities, plant-genetics, plant-microbe-interactions, rhizosphere-microbiomes, sclerotinia, soil-microbial-community, sunflowers
Organization: Department of Agriculture
UAV image and ground data of citrus 'Bingo' mandarin hybrid (<i>Citrus </i>reticulata, Blanco) rootstock trial

<p>The data are UAV ( (Unmanned Aerial Vehicle)   and individual tree ground measurements collected in 2021 of 206 trees that were part of a citrus rootstock trial at the U.S. Horticultural Research Laboratory Picos Road farm site, Ft. Pierce, Florida, USA located at 27.437137958441877, -80.42670096728109. The trees were the Bingo mandarin hybrid scion grafted onto 14 rootstock varieties and were planted in the field in 2018. The UAV images were taken using a DJI Phantom 4 Pro drone flown at an altitude of 46 meters, a speed of 12 kph, and flight lines with 80% side-overlap and 70% forward-overlap. The images are suitable for orthorectification. The images were red-green-blue (sRGB) in a 3:2 format with 5472 x 3648 pixels. The data includes 46 UAV images, a spreadsheet that includes the planting plan and ground measures, and a composite image constructed from the 46 UAV images with the rows and tree numbers labeled. The images are numbered in the order they were taken during the flight. 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: Canopy closure, yield, and quality under heterogeneous plant spacing in sunflower

<p dir="ltr"><b>Abstract</b></p><p dir="ltr">Deviation from uniform target plant population density in sunflower (Helianthus annuus L.) production may negatively affect canopy closure, yield, and grain quality. The objective of this study was to evaluate the effects of plant density heterogeneity on yield, quality, and canopy closure in confectionery and oilseed sunflowers. Field experiments consisted of fixed differences in the number of skips/doubles per plot while maintaining equal total number of plants, and stand gaps with proportional decreasing plant counts.These were conducted in Minnesota, Texas, and Colorado, USA. Experiments revealed that yield was occasionally influenced by heterogeneity, with more uniform stand density yielding higher; however, substantial changes in uniformity of plant density often resulted in no differences in yield. Confectionery sunflowers compensated for yield losses in thinner stands mainly by producing larger seeds (observed range of 0.1 to 46.2 % of seeds over a 9.53 mm sieve), while oilseed sunflowers increased seed production per head (as shown by invariable test weight across treatments within environments). Plants that were unharvestable for any cause (most often due to head rot disease or lodging) were more prevalent in less uniform stands, and faster canopy closure was achieved in uniformly spaced plants. Although sunflower is very resilient to stand uniformity issues, these findings underscore the importance of uniform sunflower plant spacing for effective weed suppression and crop performance, and highlights the need for further research into sunflower yield compensation mechanisms.</p><p dir="ltr"><b>Contents</b></p><ol><li>can1920.xls - Contains canopy cover percentage data for different treatments in oil and confectionery sunflower crops for 2019 and 2020. Includes measurements at various days after planting (DAP) and statistical indicators.</li><li>canopy_final.xlsx - Appears to be a summary or analysis of canopy cover data, including treatments, crop types (oil/confectionery), dates, years, and statistical significance indicators.</li><li>Spacing_HarvestData_final.xlsx - Comprehensive dataset with detailed harvest information including location codes (e.g., 19CO, 19MN, 19TX), plot details, treatments, yield data, seed characteristics, and quality measurements for different sunflower types.</li></ol><p dir="ltr">These files contain the primary data used in the study on plant density heterogeneity effects on sunflower production, covering canopy closure, yield, and grain quality aspects mentioned in the paper abstract.</p>

Tags: crop-growth-and-development, crop-quality, dryland-cropping-system, geophysical-instrumentation, remote-sensing, seed-quality, sunflowers
Organization: Department of Agriculture
Jornada Basin LTER: Wireless meteorological station at NPP G-IBPE site: 15-minute summary data: 2016 - ongoing

15-minute summary data at NPP G-IBPE met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed; atmospheric pressure; PAR; solar radiation. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP G-IBPE site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.

Tags: air-pressure, air-temperature, albedo, and-atmosphere, atmospheric-pressure, barometric-pressure, climate, core, disturbance, g-ibpe, long-term, longwave-radiation, ltar, meteorology, np216, npp, npp-locations, nsf-lterlong-term-ecological-research, par, photosynthetically-active-radiation, precipitation, rain, rainfall, reflectance, relative-humidity, shortwave-radiation, soils, solar-radiation, study-437, usda-ars-natural-resources-and-sustainable-agricultural-systems-national-program-216-agricultur, wind-direction, wind-speed
Organization: Department of Agriculture
Monthly precipitation data from a network of standard gauges at the Jornada Experimental Range (Jornada Basin LTER) in southern New Mexico, January 1916 - ongoing

This ongoing dataset contains monthly precipitation measurements from a network of standard can rain gauges at the Jornada Experimental Range in Dona Ana County, New Mexico, USA. Precipitation physically collects within gauges during the month and is manually measured with a graduated cylinder at the end of each month. This network is maintained by USDA Agricultural Research Service personnel. This dataset includes 39 different locations but only 29 of them are current. Other precipitation data exist for this area, including event-based tipping bucket data with timestamps, but do not go as far back in time as this dataset.

Tags: climate-soils-and-atmosphere, disturbance, dona-ana, hq, hydrology, jer, jornada-basin-lter, land-atmosphere-interactions, long-term-ecological-research, ltar, meteorology, network, np216, nsf-lterlong-term-ecological-research, precipitation, prj-380, rain, rain-gauge, rainfall, standard-rain-gauge, usda-ars-natural-resources-and-sustainable-agricultural-systems-national-program-216-agricultur
Organization: Department of Agriculture
Locally verified evaporation data from a NOAA evaporation pan at USDA Jornada Experimental Range headquarters, southern New Mexico USA, 1953-1979

This data package contains locally verified monthly total pan evaporation data from a NOAA National Weather Service station located at the USDA Jornada Experimental Range headquarters in southern New Mexico, USA. The evaporation pan measurements commenced in 1953 and ended in 1979 when the instrument was decommissioned. Pan evaporation observations were made using standard U.S. climatological service instrumentation and procedures. The included data were verified and transcribed directly from records retrieved from NOAA in ~1995 and have since undergone quality control and assurance procedures different than those in place at NOAA. These data therefore differ from those directly downloadable from NOAA servers. There is no further data from this decommissioned instrument, so this dataset is now complete and data will no longer be updated here.All observations from this weather station have also undergone NOAA QA/QC procedures and those data are available by accessing the Jornada Experimental Range, NM US GHCN station through the National Climatic Data Center portal (https://www.ncdc.noaa.gov/cdo-web/datasets/GSOM/stations/GHCND:USC00294426/detail - monthly pan evaporation data are available back to 1930, but there may be data issues prior to 1953).

Tags: 216, atmospheric-processes, climate, deserts, disturbance, evaporation, evapotranspiration, hq, hydrologic-processes, hydrology, jer, long-term, ltar, meteorology, monthly, noaa, nsf-lterlong-term-ecological-research, nws, study-379, usda, usda-ars-natural-resources-and-sustainable-agricultural-systems-national-program-216-agricultur, water-balance, weather-station
Organization: Department of Agriculture
Locally verified monthly summary temperature and precipitation data from a NOAA weather station at USDA Jornada Experimental Range headquarters, southern New Mexico USA, 1914-1998

This data package contains locally verified monthly meteorological observations from a NOAA National Weather Service station located at the USDA Jornada Experimental Range headquarters in southern New Mexico, USA. Monthly summary data (based on daily observations) has been collected there by USDA staff since 1914 for minimum and maximum air temperature and daily accumulated precipitation using standard U.S. climatological service instrumentation and procedures. The included data were verified and transcribed directly from the original paper data sheets and have undergone quality control and assurance procedures different than those in place at NOAA. These data therefore differ from those directly downloadable from NOAA servers. Local verification and transcription of observations from the data sheets ceased in 1998 and data are now directly entered to the NOAA system. Therefore, this dataset is complete and will no longer be added to.All observations from this weather station have also undergone NOAA QA/QC procedures and those data are available by accessing the Jornada Experimental Range, NM US GHCN station through the National Climatic Data Center portal https://www.ncdc.noaa.gov/cdo-web/datasets/GSOM/stations/GHCND:USC00294426/detail - daily and monthly data are available).

Tags: 216, air-temperature, atmospheric-processes, climate, deserts, disturbance, hq, hydrologic-processes, jer, long-term, ltar, maximum-temperature, meteorology, minimum-temperature, monthly, noaa, nsf-lterlong-term-ecological-research, nws, precipitation, rain, study-379, temperature, usda, usda-ars-natural-resources-and-sustainable-agricultural-systems-national-program-216-agricultur, weather-station
Organization: Department of Agriculture
Locally verified daily temperature and precipitation data from a NOAA weather station at USDA Jornada Experimental Range headquarters, southern New Mexico USA, 1914-2006

This data package contains locally verified daily meteorological observations from a NOAA National Weather Service station located at the USDA Jornada Experimental Range headquarters in southern New Mexico, USA. Daily data has been collected there by USDA staff since 1914 for minimum and maximum air temperature and daily accumulated precipitation using standard U.S. climatological service instrumentation and procedures. The included data were verified and transcribed directly from the original paper data sheets and have undergone quality control and assurance procedures different than those in place at NOAA. These data therefore differ from those directly downloadable from NOAA servers. Local verification and transcription of observations from the data sheets ceased in 2006 and data are now directly entered to the NOAA system. Therefore, this dataset is complete and will no longer be added to.All observations from this weather station have also undergone NOAA QA/QC procedures and those data are available by accessing the Jornada Experimental Range, NM US GHCN station through the National Climatic Data Center portal (https://www.ncdc.noaa.gov/cdo-web/datasets/GHCND/stations/GHCND:USC00294426/detail - daily and monthly data are available).

Tags: 216, air-temperature, atmospheric-processes, climate, daily, deserts, disturbance, hq, hydrologic-processes, jer, long-term, ltar, maximum-temperature, meteorology, minimum-temperature, noaa, nsf-lterlong-term-ecological-research, nws, precipitation, rain, study-379, temperature, usda, usda-ars-natural-resources-and-sustainable-agricultural-systems-national-program-216-agricultur, weather-station
Organization: Department of Agriculture