AndreaBozzo/ceres-open-data-index huggingface dataset:
Vegetation - Canada de los Osos Ecological Reserve [ds2943]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span>The vegetation map was created in ARCGIS using an orthophoto base layer from the National Agricultural Imagery Program (NAIP) with the Canada de los Osos Ecological Reserve boundary as an overlay. </span></p><p style='margin:0 0 11 0;'><span><span>The original database derived for the purpose of creating a vegetation map for CDLO contained an appreciable level of detail and consequent large number of classifications that were not suitable for the mapping process. Therefore, all subsets of a classification were grouped into a single classification while retaining the vegetation labels defined by the Wildlife and Habitat Branch. For example, while there may have initially been four or five different types of Umbellularia californica – Quercus agrifolia habitat based on percent cover, height and DBH classes etc., there is now only one type of Umbellularia californica – Quercus agrifolia habitat based on dominant species indicated on the map.</span></span></p><p style='margin:0 0 11 0;'><span><span>Furthermore, all of the features used to delineate a given subset of the original classification scheme do not apply to the modified classifications used to create the map. As a result, the original database was retained and a copy of that was modified and saved. The modified database was used as an attributes table for the vegetation shape files in the map.</span></span></p><p style='margin:0 0 11 0;'><span><span>Mapping consisted of creating vegetation polygons on the NAIP layer within ARCGIS. Vegetation at the Alliance level is generally more easily mapped by aerial photo than that described at the Association level. Therefore, it was necessary to ground-truth for purposes of quality control.</span></span></p><p style='margin:0 0 11 0;'><span><span>Certain “mapping rules” were created to maintain consistency when creating polygons.</span></span></p><ul><li><p style='margin:0 0 11 0;'><span><span>Trees separated from a larger, woodland stand by greater than two times their canopy width were not included within the larger stand.</span></span></p></li><li><p style='margin:0 0 11 0;'><span><span>Similarly, grassland polygons can contain trees that do not appear associated with an adjacent woodland polygon.</span></span></p></li><li><p style='margin:0 0 11 0;'><span><span>Trees within grassland forming an apparent savannah community were mapped as a community separate from the extenuating grassland. If members of that community appeared to merge with adjacent woodland, they were retained in the savannah polygon.</span></span></p></li><li><p style='margin:0 0 11 0;'><span><span>Areas of grassland or scrubland surrounded by woodland and less than five meters in width were incorporated into the woodland polygon.</span></span></p></li></ul><p><span><span>The map was prepared for publication in BIOS by the California Department of Fish and Wildlife Vegetation Classification and Mapping Program.</span></span></p></div></div></div>
Vegetation - Gaviota Coast Dangermond Preserve [ds2957]

<div style='text-align:Left;'><div><div><p><span>WRA, Inc (WRA) created a fine-scale vegetation map of portions of the Cojo-Jalama Ranches. WRA conducted field reconnaissance assistance for this project, as well as accuracy assessment (AA) field data collection. The primary purpose of the project was to provide a comprehensive overview of habitats, plants, and wildlife to inform planning for land-use, conservation, and ranch-specific activities.The mapping study area, consists of approximately 24,400 acres of the Cojo-Jalama ranches in unicoporated coastal Santa Barbara County, California. Work was performed on the project between 2012 and 2017. Ranch-wide floristic surveying was conducted from April 2012 to October 2014 to address natural communities and sensitive plant and wildlife species. WRA botanists documented vegetation alliances while on-foot. Site-specific surveys were conducted between 2015 and 2017 collected natural community and sensitive species data to be incorporated into WRA’s long-term geodatabase as supplementary data. WRA botanists then further refined vegetation alliance mapping by conducting accuracy assessment where site-specific surveys were conducted; when terrain made sites inaccessible, field botanists used binoculars to observe plant communities from an appropriate vantage point.Field maps generated by WRA used high-quality aerial photographs from 2010 to 2012 overlain with 10-foot contour lines. vegetation polygons were then hand-drawn by field biologists and later digitized using ArcGIS software. Trimble Geo XH GPS units with sub-meter accuracy were used by the biologists to map especially small-scale landscape features and rare plant point-occurrences. The minimum mapping unit (MMU) is variable from 1.0 acres to point depending on the map feature type. There was a total of 50 mapping classes. The overall Fuzzy Accuracy Assessment rating for the final vegetation map was not calculated, but much of the map was field checked.</span></p></div></div></div>
Vegetation - Lassen Volcanic National Park [ds2959]

<div style='text-align:Left;'><div><div><p><span>The Director of the NPS approved the Natural Resource Challenge in 1999 to encourage national parks to focus on the preservation of the nation’s natural heritage through science, natural resource inventories, and expanded resource monitoring. The Natural Resource Challenge provided funding for 12 baseline inventories to be completed in each of 270 parks with significant natural resources including vegetation mapping inventory. The Vegetation Inventory is an effort by the NPS to classify, describe, and map vegetation communities that follows well-established procedures that are compatible with other agencies and organizations. The inventory uses the USNVC, a system that is integrated with the major scientific efforts in the taxonomic classification of vegetation, and is a FGDC standard. Maps are produced in Universal Transverse Mercator (UTM) coordinates (NAD 83) with a 1:24,000 scale and a minimum mapping unit of 0.5 hectares. The vegetation maps must meet the National Map Accuracy Standards for positional accuracy, and the minimum class accuracy goal across all vegetation and land cover classes of 80%. Report available from: </span><a href='https://irma.nps.gov:443/DataStore/Reference/Profile/2244126' style='text-decoration:underline;' rel='nofollow ugc'><span>https://irma.nps.gov/DataStore/Reference/Profile/2244126</span></a><span>. </span></p><p><span>The photographic interpretation was based on 1:15,840-scale true-color aerial photography (prints and transparencies) acquired in July and August 2004. The interpreted overlays were orthorectified along with the scanned aerial photography and vectorized using Arc/Info™ (ESRI, Inc.) software. The photointerpreted mapped 26 vegetation classes and seven non-vegetated classes with an overall proportion correct of 72% (based on the most liberal of three accuracy thresholds).</span></p></div></div></div>
Vegetation - Santa Clara River Update - 2016 [ds2961]

<div style='text-align:Left;'><div><div><p><span>Western Foundation of Vertebrate Zoology contracted Stillwater Sciences in 2018 to create a fine-scale vegetation map of portions of the Santa Clara River. The mapping study area, consists of approximately 16,370 acres of Ventura County. Work was performed on the project during the summer and fall of 2018. The projects main goal was to address the need for detailed up-to-date vegetation information in support of identifying and modeling habitat for southwestern willow flycatcher, yellow-billed cuckoo, and least Bell's vireo. Funding for the project was provided by an Endangered Species Act Section 6 grant from the United States Fish and Wildlife Service to the California Department of Fish and Wildlife. This project builds off a prior mapping project that was conducted by Stillwater Sciences and URS, which was funded by the California State Coastal Conservancy and the Santa Clara River Trustee Council, in 2007. </span><span>Species composition data collected in the field was compiled and reviewed in the office to assign the appropriate MCV alliance to each sampled location. In cases where the species present were </span><span>best described by an MCV association (a sub-category of the broader MCV alliance), one was assigned. For field sampled locations with unique species composition not currently represented </span><span>by an existing MCV alliance or association, a provisional alliance or association was created. In </span><span>addition, some areas were classified into broader land cover types (e.g., agriculture, developed, </span><span>riverwash). </span><span>The vegetation map was produced applying digital aerial imagery (natural color, 2-foot resolution) from the National Agricultural Imagery Program (NAIP) (USDA-FSA 2016) flown in May, June, and July 2016. The minimum mapping unit (MMU) is 0.5 acres for most types and 0.1 for more unusual types that were discernable from areal photography and/or documented in the field. Once the map was made photointerpretation of the NAIP imagery took place in order to identify vegetation types. Field mapping took place after to refine the vegetation type definitions, CNPS vegetation reconnaissance field forms were used in the field. There was a total of 91 mapping classes. There was no accuracy assessment was done for this project. More information can be found in the project report, which is bundled with the vegetation map published for BIOs here: https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2900_2999/ds2961.zip</span></p></div></div></div>
Vegetation - San Clemente Island [ds2962]

<div style='text-align:Left;'><div><div><p><span>The first of two objectives for the study was to develop and test efficient and effective methods for semi-automated vegetation mapping of the recovering plant communities on SCI, specifically using hierarchical object-based classification with a rule-based expert system, ultra-high spatial resolution (UHSR) multispectral imagery, and lidar-derived digital canopy height data.A secondobjective was to map the distribution and quantify the cover of vegetation alliances over the entirety of SCI. </span></p><p><span>The final vegetation map portrays the distribution of 19 vegetation communities across SCI, with the largest areas comprised of California Annual and Perennial Grassland (35 percent) and three types of coastal sage scrub and maritime succulent scrub, comprising a combined 53 percent of the area. Map accuracy was assessed to be 79 percent based on fuzzy methods and 61 percent with a traditional accuracy assessment. The accuracy of tree identification was assessed to be 81 percent, but species-level tree accuracy was 45 percent.</span></p></div></div></div>
Vegetation - Suisun Marsh - 2018 [ds2963]

<div style='text-align:Left;'><div><div><p><span>Vegetation delineations based on photo interpretation and formal vegetation classification plus change detection. This update by the Geographical Information Center (GIC) of the North State Planning and Development Collective at California State University, Chico is part of an ongoing triennial vegetation monitoring program for the Suisun Marsh. The project tracks changes in the Suisun Marsh vegetation over time to fulfill specific permit requirements of the Suisun Marsh Plan of Protection of 1984, the Suisun Marsh Preservation Agreement of 1986, and the 2015 Suisun Marsh Preservation Agreement. This is the seventh update using the current mapping standards originally implemented in 1999. All of the previous vegetation maps from 1999 to 2015 can be viewed and downloaded using the online California Department of Fish and Wildlife (CDFW) Biogeographic Information and Observation System (BIOS); the links to the associated reports are included in the map metadata. </span></p><p><span>Minimum mapping unit (MMU): Typically, the minimum mapping size is 0.25 acres. However, the photo interpreters use their best judgment to determine if a stand below 0.25 acre should be separately delineated. For example, a smaller polygon would be appropriate for any new visible occurrence of a non-native species of concern, such as Phragmites australis, Arundo donax, Carpobrotus edulis, Eucalyptus spp., and Lepidium latifolium. </span></p><p><span>Minimum mapping width: There are many long and narrow polygons within the Suisun Marsh study area, most of which are roads, ditches, levees, and sloughs. The minimum mapping width is typically 10 feet; however, if small sections of a stand fell below the minimum width, the polygon was not split. </span></p><p><span>More information can be found in the project report, which is bundled with the vegetation map published for BIOS here: </span><a href='https://filelib.wildlife.ca.gov:443/Public/BDB/GIS/BIOS/Public_Datasets/2900_2999/ds2963.zip' style='text-decoration:underline;' rel='nofollow ugc'><span>https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2900_2999/ds2963.zip</span></a><span>, and the report is available for download separately at: </span><a href='https://nrm.dfg.ca.gov:443/FileHandler.ashx?DocumentID=218048' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=218048</span></a><span>. </span></p></div></div></div>
Vegetation - Western San Diego County [ds2964]

<div style='text-align:Left;'><div><div><p><span>The purpose of this project was to describe each of the native and naturalized vegetation types known to occur within western San Diego County and to provide the user a means to determine each type through direct observations of species composition. The classification presented herein is the result of a detailed analysis of data collected throughout the western San Diego County study area. Under contract to the San Diego Association of Governments (SANDAG), Biologists from AECOM, Conservation Biology Institute, and the California Department of Fish and Game (CDFG) Vegetation Classification and Mapping Program (VegCAMP) collaborated on these analyses, the definition of the classifications, and preparation of this manual. </span></p><p style='margin:0 0 14 0;'><span>This classification study was conducted in a manner consistent with the recommendations for standardized data collection and analysis by CDFG VegCAMP (</span><a href='https://wildlife.ca.gov:443/Data/VegCAMP' style='text-decoration:underline;' rel='nofollow ugc'><span>https://wildlife.ca.gov/Data/VegCAMP</span></a><span>) and the methods used in the preparation of A Manual of California Vegetation, 2nd ed. (Sawyer; Keeler-Wolf; Evens 2009), published by the California Native Plant Society (CNPS). This projects classifications is in accordance with this larger work. A Manual of California Vegetation (MCV) is intentionally consistent within the larger context of the National Vegetation Classification System (NVCS), which has been adopted by federal agencies and nongovernmental organizations such as the US Geological Survey, National Park Service, and NatureServe. Thus each of these classifications can be compared in context with the others nationwide.</span></p></div></div></div>
PUBLIC - AB 1236 Compliance Status Application

The “EV Charging Station Permit Streamlining Map” (EVCS Streamlining Map) is a living companion to the <a href='https://business.ca.gov/wp-content/uploads/2019/12/GoBIZ-EVCharging-Guidebook.pdf' rel='nofollow ugc'>July 2019 Electric Vehicle Charging Station Permitting Guidebook</a>. Its purpose is to create a shared, understanding of EVCS permit streamlining across the state, and track compliance with California laws <a href='https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=201520160AB1236' rel='nofollow ugc'>AB 1236 (2015)</a> and <a href='https://leginfo.legislature.ca.gov/faces/billNavClient.xhtml?bill_id=202120220AB970' rel='nofollow ugc'>AB 970 (2021)</a>.
Vegetation - Springtown Alkali Sink [ds2965]

<div style='text-align:Left;'><div><div><p><span>The University of California Berkeley Herbarium contracted Aerial Information Systems, Inc. in 2008 to create a baseline inventory of wetlands and associated upland vegetation for approximately 38 square miles of land north of the city of Livermore, California, including and adjacent to the Springtown Alkali Sink Preserve. The vegetation map adheres to the 2008 National Vegetation Classification Standard (NVCS) and the Manual of California Vegetation.</span></p><p><span>One-foot natural color imagery flown in May 2005 was used as a base for the delineated polygons and photo interpretation signature in the focus study areas. Additional online digital imagery was deemed necessary as supplementary information and included the National Agricultural Inventory Program (NAIP) imagery flown in the summer of 2005 which was used as a base for areas outside of the focus studies.</span><span /><span /><span>*Note: It is important to understand that the interpretation in the focus areas is georeferenced to the 1-foot 2005 imagery and will not line up precisely to the NAIP imagery in all cases. Therefore it is not advisable to view the delineations over the NAIP imagery, especially at a fine-scale level in the focus studies.</span></p><p><span>The complete mapping effort is divided into two phases. The first phase is the detailed mapping of several focus study areas which total approximately 4200 acres in size and include the Springtown Preserve and adjacent areas along with Brushy Peak and the upper Altamont Creek drainage. The Phase II portion involves the creation of a more generalized vegetation map for the remaining thirty square miles including much of the remaining Altamont Creek watershed in the northern portion of the Livermore Valley.</span></p></div></div></div>
Recent Stocked Waters - California [ds778]

<div style='text-align:Left;'><div><div><p><span>Each feature in this dataset represents a release water that has been stocked by the California Department of Fish and Wildlife. Release water is defined as a surface water where fish stocking took place. A single release water may be a moving water such as a portion of a stream or river, or a non-moving water such as a lake, reservoir, or pond. The locations are generalized, and do not represent specific locations of stocking. Note that there may be multiple fish planting sites on a designated water during a stocking event but only one is represented for each stocked water.</span></p></div></div></div>
Peregrine Falcon Observations Generalized [ds2968] Extended Table

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span>The Peregrine Falcon Observations Database is a product of the California Department of Fish and Wildlife's (CDFW's) Wildlife Branch and Biogeographic Data Branch. It was created by the Santa Cruz Predatory Bird Research Group (</span><a href='https://pbrg.pbsci.ucsc.edu/' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://pbrg.pbsci.ucsc.edu/</span></span></a><span><span>) then managed privately for a time. CDFW took ownership in 2011. The records generally represent peregrine falcons (PEFA, </span></span><span style='font-style:italic;'><span>Falco peregrinus</span></span><span><span>) nesting, perching, and flying. Additional information about the falcon, the database, and submitting data can be found on CDFW’s American Peregrine Falcons in California Webpage: </span></span><a href='https://www.wildlife.ca.gov/Conservation/Birds/Peregrine-Falcon' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://www.wildlife.ca.gov/Conservation/Birds/Peregrine-Falcon</span></span></a><span>.</span></p><p style='margin:0 0 11 0;'><span>This dataset represents observed nest locations for peregrine falcons, generalized to a USGS 7.5 minute topographic quad level. If you need more specific location information, please contact the listed point of contact in the metadata. </span></p></div></div></div>
Elk Home Range - Bald Hills - 2017-2021 [ds2979]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span><span>The project lead for the collection of this data was Carrington Hilson. Elk (9 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2017-2021. The Bald Hills herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed between 1-6 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></span></p><p style='margin:0 0 11 0;'><span>The methodology used for this migration analysis allowed for the mapping of the herd's home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 9 elk, including 18 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Due to a high variance parameter (greater than 8000), one home range sequence was run with a fixed motion variance of 1000. Large water bodies were clipped from the final output. Home range is visualized as the 50</span><span><span>th</span></span><span><span> percentile contour (high use) and the 99</span></span><span><span>th</span></span><span> percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample.</span></p></div></div></div>