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3,105 results for “Vegetation =”
Jornada Basin LTER/Jornada Experimental Range site, station Rodent trapping web in grassland vegetation zone, study of animal abundance of Dipodomys spectabilis in units of numberPer3pt14HectareTrappingWeb on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Jornada Basin LTER/Jornada Experimental Range (JRN) contains animal abundance of Dipodomys spectabilis measurements in numberPer3pt14HectareTrappingWeb units and were aggregated to a yearly timescale.
Jornada Basin LTER/Jornada Experimental Range site, station Rodent trapping web in grassland vegetation zone, study of animal abundance of Perognathus flavus in units of numberPer3pt14HectareTrappingWeb on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Jornada Basin LTER/Jornada Experimental Range (JRN) contains animal abundance of Perognathus flavus measurements in numberPer3pt14HectareTrappingWeb units and were aggregated to a yearly timescale.
Jornada Basin LTER/Jornada Experimental Range site, station Rodent trapping web in grassland vegetation zone, study of animal abundance of Peromyscus leucopus in units of numberPer3pt14HectareTrappingWeb on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Jornada Basin LTER/Jornada Experimental Range (JRN) contains animal abundance of Peromyscus leucopus measurements in numberPer3pt14HectareTrappingWeb units and were aggregated to a yearly timescale.
Jornada Basin LTER/Jornada Experimental Range site, station Rodent trapping web in grassland vegetation zone, study of animal abundance of Sigmodon hispidus in units of numberPer3pt14HectareTrappingWeb on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Jornada Basin LTER/Jornada Experimental Range (JRN) contains animal abundance of Sigmodon hispidus measurements in numberPer3pt14HectareTrappingWeb units and were aggregated to a yearly timescale.
Jornada Basin LTER/Jornada Experimental Range site, station Rodent trapping web in grassland vegetation zone, study of animal abundance of Neotoma albigula in units of numberPer3pt14HectareTrappingWeb on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Jornada Basin LTER/Jornada Experimental Range (JRN) contains animal abundance of Neotoma albigula measurements in numberPer3pt14HectareTrappingWeb units and were aggregated to a yearly timescale.
Jornada Basin LTER/Jornada Experimental Range site, station Rodent trapping web in grassland vegetation zone, study of animal abundance of Neotoma micropus in units of numberPer3pt14HectareTrappingWeb on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Jornada Basin LTER/Jornada Experimental Range (JRN) contains animal abundance of Neotoma micropus measurements in numberPer3pt14HectareTrappingWeb units and were aggregated to a yearly timescale.
Jornada Basin LTER/Jornada Experimental Range site, station Rodent trapping web in grassland vegetation zone, study of animal abundance of Onychomys arenicola in units of numberPer3pt14HectareTrappingWeb on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Jornada Basin LTER/Jornada Experimental Range (JRN) contains animal abundance of Onychomys arenicola measurements in numberPer3pt14HectareTrappingWeb units and were aggregated to a yearly timescale.
Jornada Basin LTER/Jornada Experimental Range site, station Rodent trapping web in grassland vegetation zone, study of animal abundance of Onychomys leucogaster in units of numberPer3pt14HectareTrappingWeb on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Jornada Basin LTER/Jornada Experimental Range (JRN) contains animal abundance of Onychomys leucogaster measurements in numberPer3pt14HectareTrappingWeb units and were aggregated to a yearly timescale.
Jornada Basin LTER/Jornada Experimental Range site, station Rodent trapping web in grassland vegetation zone, study of animal abundance of Chaetodipus penicillatus in units of numberPer3pt14HectareTrappingWeb on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Jornada Basin LTER/Jornada Experimental Range (JRN) contains animal abundance of Chaetodipus penicillatus measurements in numberPer3pt14HectareTrappingWeb units and were aggregated to a yearly timescale.
Monitoring of vegetation and fire in Florida scrub, flatwoods, and wet prairie in south-central Florida from 1977-2015
This data package is comprised of three datasets all pertaining to the impacts of prescribed fires and wildfires on vegetation at 11 permanent transect sites over nearly four decades at Archbold Biological Station (ABS) in south-central Florida. Data were collected between 1977 to 2015 in wet prairies, flatwoods, oak scrub, rosemary scrub, and hickory scrub. The first dataset, cover_data, contains year and month of sampling at a given transect site, the vegetation association type, burn unit, and the percentage cover data for sampled species and bare ground. The second dataset, fire_occurrence, includes the dates of each fire that impacted each transect site, the burn unit of the transect, and the percentage of transect burned. The third dataset, species_information, includes the scientific name, common name, plant family, and nativity of each sampled species. A fourth unpublished dataset provides the GPS locations for all the aluminum posts that mark each of the 11 transects. These data are available from the Archbold data manager. Below we summarize the setup and data collected for each dataset. Cover_data: We determined the percentage cover (i.e., dominance) of each encountered species at 11 vegetation stands including two wet prairies (WS20, WS21), three flatwoods (WS30, WS42, WSP1), and six Florida scrub associations including four oak scrubs (WS26, WSP2, WS24, WS25, the latter two include areas of rosemary scrub), a rosemary scrub (WS27), and a hickory scrub (WS29). Each stand was sampled at selected times, ranging from five to as many as 12 repeated samplings, during the 38-yr period beginning in 1977 and continuing to 2015. Stands were sampled during January (mid-way during the winter dry season) except for sampling four stands in May 1977 and eight stands in July 1977 to document short-term 4-month and 6-month vegetation recovery following the initial January 1977 prescription burn. At each permanently marked transect site, we sampled 200 m using two parall
Investigating vegetation responses to underground nuclear explosions at the Nevada National Security Site through integrated analysis
Data was collected to determine response of vegetation to underground explosions that occurred in the late 1980s. All samples were collected from the vicinity of the BARNWELL and DISKO ELM test sites of the Nevada National Security Site. Samples were collected from 2017-2018. Soil chemistry was derived from plant root simulator (PRS) probes manufactured by Western Ag Innovations Inc., in Saskatoon; tree ring samples were collected from increment borers; vegetation transect information was collected in the field using transects and quadrants and species were also collected and photographs taken for identification at a later time; soil bulk density samples were collected with a metal cylinder of known volume, weighted, oven-dried and re-weighted to obtain both the wet and dry weight; hyperspectral reflectance data were collected form the foliage of piñon pine tree species using a hyperspectral camera (FieldSpec 4, Analytical Spectral Devices, Inc (ASD)). More information on sample collection and processing is available in the manuscript that has been accepted for publication: Solander, K.C., Collins, A.D., Swanson, E., Margolis, E.Q., Crawford, B., Miller, E. Chen, M., Lavadie-Bulnes, A., Ryan, M., Borrego, I., Sevanto, S., Schultz-Fellenz, E., 2021, Investigating vegetation responses to underground nuclear explosions through integrated analysis, J. Geophys. Res. Biogeosci. (accepted).
Permafrost soil database with information on site, topography, geomorphology, hydrology, soil stratigraphy, soil carbon, ground ice isotopes, and vegetation at thermokarst features near Toolik and Noatak River, 2009-2013
This database contains soil and permafrost stratigraphy associated with thermokarst features near Toolik Lake and the Noatak River collected by Torre Jorgenson and Andrew Balser during summers 2009-2011. The Access Database has main data tables (tbl_) for site (environmental), soil stratigraphy, soil physical data, soil chemical data, soil isotopes (ground ice), soil radiocarbon dates, topography and bathymetry, and vegetation cover. The site data includes information of location, observers, geomorphology, topography, hydrology, soil summary characteristics, pH and EC, soil classification, and vegetation cover by species. Soil stratigrapy has information on soil texture and ground ice. Soil physical and chemical data includes lab data on bulk density, moisture, carbon, and nitrogen. The database has 37 reference tables (REF_) that have codes and descriptions for variables used in site, soil stratigraphy, and vegetation cover tables.
BES bird survey habitat features. This is a collection of the habitat features for the BES bird sampling points. Features include number of houses, proximity to trees, shrubs, grass, annuals, and other vegetation and physical features.
This dataset is associated with BES Bird Monitoring Bird Monitoring Project: ================= The BES Bird Monitoring Project is a breeding bird survey designed to find out what birds are found in the breeding season in Baltimore and where. Our monitoring efforts will show associations among block group socioeconomic variables, land cover, land use, and habitat features with breeding bird abundance, to provide information for land managers on possible consequences of land use changes on bird communities. A distinguishing feature of the bird monitoring at BES LTER, relative to other urban bird work, is the capacity for long-term monitoring of features at multiple scales through links to other parts of the project. Different processes influence habitat for birds at different scales, e.g. ongoing household level human decision-making at lot scale vs. block or neighborhood scale abandonment/re-development. Our project seeks to understand how these processes impact bird occurrence, abundance, and composition differ at the lot, block and neighborhood scale. The data consists of four major elements, Sites, Surveys, Taxalist, and Birds. Sites records the sites and their characteristics. Surveys describe the actual outings or sampling sessions. They describe the weather, the temperature, the sites visited. Taxalist provides the integration of speciaies abbreviations and common names, and Birds describes the actual sightings, linking to the other three tables. Attribute information: Here are the fields Surveys: site_id FK->Sites[site_id] survey_id survey_date time_start time_end observer wind_speed wind_dir air_temp temp_units cloud_cover notes Sites: site_id park_code park_district park_name point_code point_location park_acreage Taxalist: species_id common_name Birds: survey_id FK->surveys[survey_id] site_id FK->surveys[site_id] species_id FK->taxalist[species_id] distance bird_count notes seen heard direction time_class
Data for L.R. Johnson and S.N. Handel - Restoration treatments in urban park forests drive long-term changes in vegetation trajectories - Ecological Applications doi:10.1890/14-2063.1
Initial data from long-term research plots in New York City Park forest patches invaded by exotic woody plant species. Half (n = 30) of the sites were restored 15-20 years prior to first sampling in 2009-2010. The same suite of invasive plants was recorded in the other half of the sites at the time of initial restoration in the late 1980s and early 1990s (n = 30), but they were not restored in 2009-2010.
BESLTER Permanent Plot vegetation data combined for the survey years of 1998, 2003, and 2015
BESLTER Permanent Plot vegetation data combined for the survey years of 1998, 2003, and 2015. Introduction: Urban forests are often highly fragmented with many exotic species. Altered disturbance regimes and environmental pollutants influence urban forest vegetation. One of the best ways to understand the impacts of urban land-use on forest composition is through long-term research. In 1998, the Baltimore Ecosystem Study (BES) established eight forest plots to investigate the impacts of urbanization on natural ecosystems (Groffman et al. 2006). Four plots were established in urban forest patches and four in rural forests. All eight plots are located within the Baltimore Metropolitan Area. Purpose: Vegetation in the BES long-term plots were sampled in 1998, 2003, and 2015 to understand the influence of urbanization on species abundances and to quantify change in forest composition, diversity, and structure (Groffman et al. 2006 and Templeton 2016). Plot Structure: Six of the plots are 40�40m (1600m2). The Hillsdale 1 and 2 plots are 30�30m (900m2). The Hillsdale plots are smaller to fit within the boundaries of the forest patch. Sites were selected with the following criteria in mind: 1) to represent urban and non-urban forests, 2) away from obvious habitat boundaries or edges, 3) with consistent drainage lines within the plot, and 4) with at least 80% continuous tree canopy. All vegetation layers were sampled in order to characterize the structure and composition of the plant community. Each plot was permanently outlined with metal markers buried at or below the soil line. Between each of the plot corners, metal markers were placed at 10m intervals. The 10m markers divided the plot into 16 10x10m subplots (nine 10x10m subplots at Hillsdale). Each 10x10m subplot was then further divided into four 5x5m subplots. Only one of the four 5x5m subplots in each 10x10m subplot was used for all vegetation sampling below the tree layer. Shrubs and vines were measured along two
Tree regeneration after fire: Aspen removal experiment, vegetation cover 2000 - 2002
This research was intended to address the general question of whether asexual stem regeneration of trembling aspen (Populus tremuloides Michx.) reduces rates of establishment and growth of potential invading conifer species during the initial years following fire. Interactions between aspen and conifers were studied under natural conditions in a burned aspen stand with a high potential for aspen re-sprouting. The study contributes to our understanding of whether competitive interactions between tree seedlings are likely to help maintain deciduous stands across disturbance cycles by reducing the potential for successful conifer establishment. Vegetation cover measurements made on July 31, 2000. Data are visual estimates of % cover, made in a 1x1m quadrat centered in each plot. Values are listed by species, with T=trace (<0.5%) and Out=present outside the cover quadrat but inside the plot. A key to the species codes listed in the column headers is found in spcode.txt.
Ecology Explorers educational data: vegetation data from multiple school locations in the central Arizona-Phoenix area
The Sonoran Desert has the most diverse native plant species of any desert in the world. Many plants are uniquely adapted to living here and they are part of food webs that include animals and insects that also are adapted to desert living. Phoenix is an ever-expanding urban area located within the Sonoran Desert. Scientists are studying the impact of this urbanization on plant communities. Over the past 100 years, people have removed a lot of native vegetation and planted nonnative plants, trees, and shrubs. But there are still some desert remnants areas that have been preserved as Sonoran Desert landscape within the Phoenix metropolitan area. CAP LTER scientists are conducting plant surveys across the Phoenix Metropolitan area. They will be comparing the survey results to studies done 20 years ago. They also are interested in comparing vegetation in desert remnants to that in residential areas, parks, golf courses and vacant lots. You can participate in this study by comparing schoolyard and/or backyard data to desert remnant data and sharing this informationwith CAP LTER scientists. You may also decide to correlate your vegetation studies with the LTER Ecology Explorers bird and insect studies.
Point Count Bird Censusing Data Subset for Paper 'EFFECTS OF LAND USE AND VEGETATION COVER ON BIRD COMMUNITIES' Walker et. al
Animals utilize their environment across a range of scales, which is bounded by their extent, the broadest spatial area which organisms respond to their environment within their lifetime, and the spatial grain, the smallest area they respond to their environment (Kotlier and Wiens 1990). Within this range, organisms likely respond to their environment at a hierarchy of levels. Johnson (1980) recognizes four distinct levels of hierarchical habitat selection. At the very largest scale, first order selection, includes the entire area that an organism utilizes within its lifetime, and is also known as an organisms global home range or extent. In contrast, second order selection is an organisms local home range, or the area that it occupies within a unique ecosystem. This distinction is most apparent with migratory animals who utilize more than one distinct landscape for their survival (i.e. summer vs. winter feeding grounds), and much less so for organisms resident of one specific landscape for their entire life span. Third order selection is the selection of specific habitat patches within an ecosystem. For example, a Monarch butterfly would tend to select patches of milkweed within a prairie. And the lowest level, fourth order selection, involves the physical procurement of food within a selected patch, in our example, specific flowers within a milkweed patch, and is also known as grain. Realizing the importance of hierarchical habitat selection, it has become apparent that single-scale studies of animals responses to their environment may fail to adequately represent how that specific animal is responding to ecological parameter of interest, especially if they are not responding to the landscape at that scale (Holling 1992). The range of scales which an animal of interest is utilizing a landscape is important to determine prior to any further ecological investigation, as inappropriate scalar mismatch between organism and environment can lead to ambiguous or even dece
Soil percent organic matter: Effect of Burning Patterns on Vegetation in the Fish Lake Burn Compartments
This study examines the effects of long-term prescribed burning treatments on vegetation structure and composition, productivity, and nutrient cycling in upland oak savanna and woodland vegetation. The basis for the study is an ongoing, experimental prescribed burning program begun in 1964 at Cedar Creek, and a similar program operating since 1962 on the adjacent Helen Allison Savanna property (owned by The Nature Conservancy). These prescribed burning programs are designed to subject upland oak communities (and some old fields) to different burn frequencies and patterns of burning, with the ultimate objectives of 1) restoring and maintaining the historically important savanna and open woodland vegetation, and 2) providing information about the effects of different burning patterns on vegetation structure and composition. This study addresses the latter of these two purposes and expands on it by also investigating possible influences of fire on resource availability (nutrients, water, and light) and net primary productivity. This study represents a continuation and expansion of experiments 015 and 094.
Soil nitrogen: Effect of Burning Patterns on Vegetation in the Fish Lake Burn Compartments
This study examines the effects of long-term prescribed burning treatments on vegetation structure and composition, productivity, and nutrient cycling in upland oak savanna and woodland vegetation. The basis for the study is an ongoing, experimental prescribed burning program begun in 1964 at Cedar Creek, and a similar program operating since 1962 on the adjacent Helen Allison Savanna property (owned by The Nature Conservancy). These prescribed burning programs are designed to subject upland oak communities (and some old fields) to different burn frequencies and patterns of burning, with the ultimate objectives of 1) restoring and maintaining the historically important savanna and open woodland vegetation, and 2) providing information about the effects of different burning patterns on vegetation structure and composition. This study addresses the latter of these two purposes and expands on it by also investigating possible influences of fire on resource availability (nutrients, water, and light) and net primary productivity. This study represents a continuation and expansion of experiments 015 and 094.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.