AndreaBozzo/ceres-open-data-index huggingface dataset:
DC Estimated Tree Root Zone (Critical)

The dataset is the estimate of a tree’s critical root zone, which can not be impacted beyond certain limits. Buffer distances are calculated for trees on all land types in the District that will be used for tree preservation planning purposes.<div><br /></div><div><a href='https://opendata.dc.gov/datasets/da0c156ef3d24607b27a0da418970eac/explore' target='_blank' rel='nofollow ugc noopener noreferrer'>DC 2022 LiDAR</a> was used and processed using the “Extract Trees using Cluster Analysis” script which is included as part of Esri’s 3D Basemap solution. <br /></div><div><p>The extracted tree data set was merged with the UFA tree inventory data, with preference given to the UFA tree inventory data. All LiDAR-derived trees within 2 meters of a UFA tree were removed as being duplicates. &lt;o:p&gt;&lt;/o:p&gt;<br /></p><p>Tree diameter (DBH, in inches) was estimated for the LiDAR-derived trees from calculated tree height (in feet) based on the equation: DBH = 0.4003*height - 1.9557. This equation was derived from a statistical analysis of a detailed park inventory tree data set and has an R^2 = 0.7418.</p><p>Extreme outliers were also modified, with any DBH larger than 80 inches being converted to a DBH of 80 inches.<br /></p><p>Critical Root Zone (CRZ) was calculated as a buffer of 1.5 feet for every inch of DBH, whereas Structural Root Zone (SRZ) was calculated as a buffer of 0.5 feet for every inch of DBH.</p></div>

Tags: crz, ddot-urban-forestry-division, root-zone, srz, tree-preservation, tree-protection, ufa
Organization: District of Columbia
2020 LiDAR - Digital Surface Model

<div style='text-align:Left;'><div><p><span>Digital Surface Model - 1m resolution. The dataset contains the 1m Digital Surface Model for the District of Columbia. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. Except for classified ground points and classified water points, all lidar data returns and collected data were removed from the dataset within the United States Secret Service 1m redaction boundary generated for the 2017 orthophoto flight. This dataset provided as an <a href='https://enterprise.arcgis.com/en/image/' rel='nofollow ugc'>ArcGIS Image service</a>. Please note, the download feature for this image service in Open Data DC provides a compressed PNG, JPEG or TIFF. The compressed GeoTIFF mosaic raster dataset is available under additional options when viewing downloads. Requests for the individual GeoTIFF set of images should be sent to <a href='mailto:open.data@dc.gov' rel='nofollow ugc'>open.data@dc.gov</a>.</span></p></div></div>

Tags: dc, dem, digital-elevation-model, digital-surface-model, district-of-columbia, dsm, elevation, lidar, lidar2020, washington-dc
Organization: District of Columbia
2020 LiDAR - Normalized Digital Surface Model

<div style='text-align:Left;'><div><p><span>Normalizd Digital Surface Model - 1m resolution. The dataset contains the 1m Digital Surface Model for the District of Columbia. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. Except for classified ground points and classified water points, all lidar data returns and collected data were removed from the dataset within the United States Secret Service 1m redaction boundary generated for the 2017 orthophoto flight. This dataset is provided as an <a href='https://enterprise.arcgis.com/en/image/' rel='nofollow ugc'>ArcGIS Image service</a>. Please note, the download feature for this image service in Open Data DC provides a compressed PNG, JPEG or TIFF. The compressed GeoTIFF mosaic raster dataset is available under additional options when viewing downloads. Requests for the individual GeoTIFF set of images should be sent to <a href='mailto:open.data@dc.gov' rel='nofollow ugc'>open.data@dc.gov</a>.</span></p></div></div>

Tags: bare-earth, dc, dem, digital-elevation-model, district-of-columbia, elevation, lidar, lidar2020, ndsm, normalized-digital-surface-model, washington-dc
Organization: District of Columbia
2020 LiDAR - Hydro Flattened Digital Terrain Model

<div style='text-align:Left;'><div><p><span>Hydro-Flattened Bare Earth DTM - 1m resolution. The dataset contains the 1m Digital Surface Model for the District of Columbia. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. Except for classified ground points and classified water points, all lidar data returns and collected data were removed from the dataset within the United States Secret Service 1m redaction boundary generated for the 2017 orthophoto flight. This dataset provided as an <a href='https://enterprise.arcgis.com/en/image/' rel='nofollow ugc'>ArcGIS Image service</a>. Please note, the download feature for this image service in Open Data DC provides a compressed PNG, JPEG or TIFF. The compressed MrSID mosaic raster dataset is available under additional options when viewing downloads. Requests for the individual GeoTIFF set of images should be sent to <a href='mailto:open.data@dc.gov' rel='nofollow ugc'>open.data@dc.gov</a>.</span></p></div></div>

Tags: bare-earth, dc, dem, digital-elevation-model, digital-terrain-model, district-of-columbia, dtm, elevation, hydro-enforced, hyrdo-flattened, lidar, lidar2020, washington-dc
Organization: District of Columbia
2020 LiDAR - Classified LAS

These lidar data are processed classified LAS 1.4 files at USGS QL2 covering the District of Columbia. Voids exist in the data due to data redaction conducted under the guidance of the United States Secret Service. This dataset provided as an <a href='https://enterprise.arcgis.com/en/image/' rel='nofollow ugc'>ArcGIS Image service</a>. Please note, the download feature for this image service in Open Data DC provides a compressed PNG, JPEG or TIFF. The individual LAS point cloud datasets are available under additional options when viewing downloads.

Tags: district-of-columbia, elevation-data, las-point-cloud, lidar, lidar2020, washington-dc
Organization: District of Columbia
2018 LiDAR - Classified LAS

<div style='text-align:Left;'><div><div><p><span>The point cloud was delivered with data in the following classifications: Class 1 - Processed but Unclassified; Class 2 - Bare Earth Ground; Class 3 - Low Vegetation; Class 4 - Medium Vegetation; Class 5 - High Vegetation, Class 6 - Buildings; Class 7 - Low Point (Noise); Class 9 - Water; Class 17 - Bridge Decks; Class 18 - High Noise; Class 20 - Ignored Ground.</span></p></div></div></div>

Tags: 2018, district-of-columbia, elevation, las-point-cloud, lidar, lidar2018, washington-dc
Organization: District of Columbia
2024 LiDAR - Hydro Enforced Digital Terrain Model

<div style='text-align:Left;'><div><div><p><span>Digital Terrain Model - 1m resolution. The dataset contains the 1m Digital Terrain Model for the District of Columbia. These lidar data are processed classified LAS 1.4 files at USGS QL1 covering the District of Columbia. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. All data returns were removed from the dataset within the United States Secret Service redaction boundary except for classified ground points and classified water points.</span></p></div></div></div>

Tags: bare-earth, digital-terrain-model, district-of-columbia, dtm, elevation, lidar, lidar2024, washington-dc
Organization: District of Columbia
2022 LiDAR - Intensity

<div style='text-align:Left;'><div><div><p><span>Intensity Image - 1m resolution. The dataset contains the 1m intensity image for the District of Columbia. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. All data returns were removed from the dataset within the United States Secret Service redaction boundary except for classified ground points and classified water points.</span></p></div></div></div>

Tags: bare-earth, district-of-columbia, elevation, intensity, lidar, lidar2022, washington-dc
Organization: District of Columbia
2024 LiDAR - Digital Surface Model

<div style='text-align:Left;'><div><div><p><span>Digital Surface Model - 1m resolution. The dataset contains the 1m Digital Surface Model for the District of Columbia. These lidar data are processed classified LAS 1.4 files at USGS QL1 covering the District of Columbia. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. All data returns were removed from the dataset within the United States Secret Service redaction boundary except for classified ground points and classified water points.</span></p></div></div></div>

Tags: bare-earth, digital-surface-model, district-of-columbia, dsm, elevation, lidar, lidar2024, topography, washington-dc
Organization: District of Columbia
2024 LiDAR - Classified LAS

<div style='text-align:Left;'><div><div><p><span>These lidar data are processed classified LAS 1.4 files at USGS QL1 covering the District of Columbia. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. All data returns were removed from the dataset within the United States Secret Service redaction boundary except for classified ground points and classified water points.</span></p></div></div></div>

Tags: district-of-columbia, elevation, las-point-cloud, lidar, lidar2024, washington-dc
Organization: District of Columbia
2022 LiDAR - Digital Surface Model

<div style='text-align:Left;'><div><div><p><span>Digital Surface Model - 1m resolution. The dataset contains the 1m Digital Surface Model for the District of Columbia. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. All data returns were removed from the dataset within the United States Secret Service redaction boundary except for classified ground points and classified water points.</span></p></div></div></div>

Tags: bare-earth, digital-surface-model, district-of-columbia, dsm, elevation, lidar, lidar2022, washington-dc
Organization: District of Columbia
2022 LiDAR - Hydro Enforced Digital Terrain Model

<div style='text-align:Left;'><div><div><p><span>Digital Terrain Model - 1m resolution. The dataset contains the 1m Digital Terrain Model for the District of Columbia. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. All data returns were removed from the dataset within the United States Secret Service redaction boundary except for classified ground points and classified water points.</span></p></div></div></div>

Tags: bare-earth, digital-terrain-model, district-of-columbia, dtm, elevation, lidar, lidar2022, washington-dc
Organization: District of Columbia
2022 LiDAR - Classified LAS

<div style='text-align:Left;'><div><div><p><span>These lidar data are processed classified LAS 1.4 files at USGS QL2 covering the District of Columbia. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. Except for classified ground points and classified water points, all lidar data returns and collected data were removed from the dataset within the United States Secret Service 1m redaction boundary generated for the 2017 orthophoto flight</span></p></div></div></div>

Tags: district-of-columbia, elevation, las-point-cloud, lidar, lidar2022, washington-dc
Organization: District of Columbia
Leptinotarsa decemlineata genome annotations v0.5.3

<p>The <em>Leptinotarsa decemlineata</em> genome was recently sequenced and annotated as part of the i5k pilot project by the Baylor College of Medicine. This dataset presents the <em>Leptinotarsa decemlineata</em> gene set BCM_v_0.5.3, which was generated computationally. RNA-Seq data was used with additional protein homology data for a MAKER automated annotation of the Leptinotarsa decemlineata genome assembly 1.0. Further annotation method details will be available in a forthcoming publication.</p>
<p>NOTE: This gene set is an unstable pre-release (v0.5.3), and was provided to facilitate manual curation and analyses before the official gene set is released. Gene identifiers from this gene set will likely not be maintained.</p>
<p>If you wish to use this dataset, please follow the Baylor College of Medicine's conditions for data use: <a href="https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use">https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use</a></p>
<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Leptinotarsa decemlineata genome annotations v0.5.3 for genome assembly v1.0.</p> <p>File Name: Ldec_genome_annotations_BCM_version_0.5.3.tar.gz</p><p>Resource Description: </p><p>The attached tar.gz archive (Ldec_genome_annotations_BCM_version_0.5.3.tar.gz) contains the following files:</p>

<p>LDEC.Analysis.gff3.gz.  This file contains evidence gff3 format underlying the final gene predictions.</p>

<p>LDEC.CDS.fna.gz. CDS sequences of <em>Leptinotarsa decemlineata</em> genome annotations v0.5.3.</p>

<p>LDEC.faa.gz Amino acid sequences of <em>Leptinotarsa decemlineata</em> genome annotations v0.5.3.</p>

<p>LDEC.fna.gz cDNA sequences of <em>Leptinotarsa decemlineata</em> genome annotations v0.5.3.</p>

<p>LDEC.Models.gff3.gz Gff3 of all gene predictions of <em>Leptinotarsa decemlineata</em> genome annotations v0.5.3, modified by the National Agricultural Library to be compliant with gff3 specifications.</p>
<p></p></li></ul><p></p>

Tags: ars, colorado-potato-beetle, data-gov, i5k, insects, leptinotarsa-decemlineata
Organization: Department of Agriculture
Leptinotarsa decemlineata genome assembly 1.0

<p>The Baylor College of Medicine recently sequenced and annotated the <em>Leptinotarsa decemlineata</em> genome as part of the i5k pilot project. This dataset presents the <em>Leptinotarsa decemlineata</em> genome v1.0. This assembly version is the pre-release version, prior to filtering and quality control by the <a href="http://www.ncbi.nlm.nih.gov/assembly/GCA_000696205.1">National Center for Biotechnology Information's GenBank resource</a>. Assembly method details will be available in a forthcoming publication.</p>
<p>The Colorado potato beetle is considered the economically most significant defoliator of potato in northern latitudes worldwide. The range of this insect is continuing to expand, and it is likely to eventually colonize all potato-producing areas with temperate climate. Within it's native habitat, the beetle feeds on native solanaceous plants, <i>S. angustifolium, S. elaeagnifolium</i>, and buffalo bur, <i>S. rostratum</i>. However, it has adapted to potatoes and other solanaceous crops after its range expansion.</p>
<p>Due to the lack of any natural enemies that have been able to evolve seasonal adaptations, the cornerstone of Colorado potato beetle management has been the use of insecticides. However, the beetle has shown a remarkable ability to develop resistance to most insecticides used for its control. The mechanism(s) of insecticide resistance is yet unknown and genomic sequencing will lead to major advances in managing this pest in commercial plant production.</p>
<p>If you wish to use this dataset, please follow the Baylor College of Medicine's conditions for data use: <a href="https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use">https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use</a></p>
<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Leptinotarsa decemlineata genome assembly v1.0 fasta and agp files for contigs and scaffolds.</p> <p>File Name: Ldec_genome_assembly_v1.0.tar.gz</p><p>Resource Description: </p><p>The attached tar.gz archive (Ldec_genome_assembly_v1.0.tar.gz ) contains the following files:</p>

<p>Ldec.contigs.10062013.fa. This file contains the sequence information of the contigs of the <em>Leptinotarsa decemlineata</em> 1.0 assembly.</p>

<p>Ldec.genome.10062013.fa. This file contains the sequence information of the scaffolds of the <em>Leptinotarsa decemlineata</em> 1.0 assembly.</p>

<p>Ldec.genome.10062013.agp. This file contains information linking the contigs and scaffolds for this assembly. A description of the agp format is available here: <a href="http://www.ncbi.nlm.nih.gov/projects/genome/assembly/agp/AGP_Specification.shtml">http://www.ncbi.nlm.nih.gov/projects/genome/assembly/agp/AGP_Specificati...</a>.</p>
<p></p></li></ul><p></p>

Tags: ars, colorado-potato-beetle, data-gov, i5k, insects, leptinotarsa-decemlineata
Organization: Department of Agriculture
Persistence of antibiotic resistance genes in beef cattle backgrounding environment after cessation of operation

<p>Datasheet for the abundance of total bacteria, gram positive indicator bacteria, horizontal gene transfer indicator genes and antibiotic resistance genes in the soil measured over 3 years.    </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Beef cattle backgrounding data.</p> <p>File Name: ANF data_rearranged.xlsx</p><p>Resource Description: Abundance of bacteria and antibiotic resistance genes in the soil in beef cattle backgrounding environment</p></li><br><li><p>Resource Title: Beef cattle backgrounding nutrient data.</p> <p>File Name: ANS-nutrient data combined.xlsx</p><p>Resource Description: Physical and nutrient measurements in the soil associated with beef cattle backgrounding environment</p></li><br><li><p>Resource Title: Beef cattle backgrounding nutrient data.</p> <p>File Name: ANS-nutrient data combined (1).csv</p><p>Resource Description: Physical and nutrient measurements in the soil associated with beef cattle backgrounding environment</p></li><br><li><p>Resource Title: Beef cattle backgrounding data.</p> <p>File Name: ANF data_rearranged.csv</p><p>Resource Description: Abundance of bacteria and antibiotic resistance genes in the soil in beef cattle backgrounding environment</p></li><br><li><p>Resource Title: Data Dictionary - Persistence of antibiotic resistance genes in beef cattle backgrounding environment after cessation of operation.</p> <p>File Name: DataDictionary_persistence_antibiotic_res_genes.csv</p></li></ul><p></p>

Tags: antibiotic-resistance, antibiotic-resistance-genes, ars, beef-cattle, data-gov, np108, np212, spatial-and-temporal-variations
Organization: Department of Agriculture
Data from: Survey of CRISPR spacers among greater than 35,000 <i>Campylobacter spp</i>. genomes both recognizes known bacteriophages and suggests novel bacteriophages

<p dir="ltr">"Survey of CRISPR spacers among greater than 35,000 <i>Campylobacter spp</i>. genomes both recognizes known bacteriophages and suggests novel bacteriophages" study.</p><p dir="ltr">Extended dataset 1: DA10 bacteriophage gene prevalence in targets.</p><p dir="ltr">Extended dataset 2: Fletchervirus bacteriophage gene prevalence in targets.</p>

Tags: bacteriophage, campylobacter, crispr-spacer
Organization: Department of Agriculture
Data from: Fingerling stocking size has no influence on proliferative gill disease severity in farm-raised channel catfish (<i>I</i><i>ctalurus punctatus</i>)

<p dir="ltr">Through discussions with industry stakeholders, the question was raised about whether stocking larger catfish fingerings could reduce losses associated with <i>Henneguya ictaluri</i>, the myxozoan responsible for proliferative gill disease (PGD). To evaluate this, a collaborative study between the USDA-ARS Warmwater Aquaculture Research Unit, University of Georgia, Mississippi State University, and St. George's University (Granada, West Indies) was conducted. Two sizes of channel catfish fingerlings (40 lbs/1000 [small] and 120 lbs/1000 [large]) were stocked into net pens and placed in commercial catfish ponds with varying levels of PGD activity. Following a 7-day pond exposure, mortality was assessed, and all surviving fish used to evaluate gill damage and sub-lethal effects in relation to <i>H. ictaluri</i> loads in the gill tissue and water samples.</p><p dir="ltr">Funding for the research comes from USDA-ARS Project 6066-31000-016-000D, and the USDA-ARS-funded Mississippi State University Catfish Health Initiative (Project No. 6066-31320-006-000D).</p>

Tags: aquaculture, channel-catfish, fingerlings, henneguya-ictaluri, myxozoan-parasites
Organization: Department of Agriculture
Forest Service Regional Boundaries (Feature Layer)

An area encompassing all the National Forest System lands administered by a Region. The area encompasses private lands, other governmental agency lands. All National Forest System lands fall within one and only one Administrative Region Area. <a href='https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.AdministrativeRegion.xml' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata</a>

Tags: administrative-boundaries, alp-land-dataset, land-status, lands-and-realty, national-forest-system-lands, open-data, region, region-headquarters, region-name, us-forest-service
Organization: Department of Agriculture
PADUS FS Managed Surface Ownership Parcels (Feature Layer)

An area depicting ownership parcels of the surface estate. This data is intended for read-only use. The PAD-US feature classes were developed by the Forest Service for submission to the Protected Areas Database of the United States (PAD-US). It is the official inventory of public parks and other protected open space. With more than 3 billion acres in 150,000 holdings, the spatial data in PAD-US represents public lands held in trust by thousands of national, State and regional/local governments, as well as non-profit conservation organizations. PAD-US is published by the U.S. Geological Survey Gap Analysis Program (GAP). GAP produces data and tools that help meet critical national challenges such as biodiversity, conservation, recreation, public health, climate change adaptation, and infrastructure investment. USFS PAD-US data is pulled weekly from USFS Lands data. This dataset is more current than the combined annual update of PAD-US from USGS GAP.

Tags: alp-land-dataset, designation, easement, fee, land-status, nfs-lands, open-data, padus, proclamation, protected-areas-database, usda-forest-service
Organization: Department of Agriculture
PADUS FS National Designated Areas (Feature Layer)

An area depicting designated land boundaries, excluding boundaries designated by proclamation. This data is intended for read-only use. The PAD-US feature classes were developed by the Forest Service for submission to the Protected Areas Database of the United States (PAD-US). It is the official inventory of public parks and other protected open space. With more than 3 billion acres in 150,000 holdings, the spatial data in PAD-US represents public lands held in trust by thousands of national, State and regional/local governments, as well as non-profit conservation organizations. PAD-US is published by the U.S. Geological Survey Gap Analysis Program (GAP). GAP produces data and tools that help meet critical national challenges such as biodiversity, conservation, recreation, public health, climate change adaptation, and infrastructure investment. <a href='https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.PADUS_Designation.xml' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata</a>

Tags: alp-land-dataset, designation, easement, fee, land-status, nfs-lands, open-data, padus, proclamation, protected-areas-database, usda-forest-service
Organization: Department of Agriculture