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1,728 results for “1996”
Sediment Elevation Change (Feldspar Marker Horizon Method) from Northeastern Florida Bay (FCE) from 1996 to Present
The long term goal of the South Florida Water Management District's research program focuses on the following central objective: Regional processes mediated by water flow control population and ecosystem level dynamics at any location within the coastal Everglades landscape. This phenomenon is best exemplified in the dynamics of an estuarine oligohaline zone where fresh water draining phosphorus-limited Everglades marshes mixes with water from the more nitrogen-limited coastal ocean. Data in this data package are specifically to monitor soil elevation change relative to current sea level.
Sediment Elevation Change (SET Method) from Northeastern Florida Bay (FCE) from 1996 to Present
The long term goal of the South Florida Water Management District's research program focuses on the following central objective: Regional processes mediated by water flow control population and ecosystem level dynamics at any location within the coastal Everglades landscape. This phenomenon is best exemplified in the dynamics of an estuarine oligohaline zone where fresh water draining phosphorus-limited Everglades marshes mixes with water from the more nitrogen-limited coastal ocean. Data in this data package are specifically to monitor soil elevation change relative to current sea level using the SET method. The Feldspar Marker Horizon method was used in conjunction with the SET data. The Feldspar data are in dataset FCE1213.
Throw trap and electrofishing data collected during 1996–2022 from the Everglades, Florida, United States for the publication "Hydrology-mediated ecological function of a large wetland threatened by an invasive predator"
Asian swamp eels (Monopterus albus/javanensis complex) were first reported from Florida in 1997 and the Everglades in 2007; swamp eels have been established in Taylor Slough of Everglades National Park since 2014. This dataset incorporates plot-level mean densities (# of individuals per square meter) of common aquatic animals collected during 1996–2022 from 24 sites across four regions of the Everglades: Taylor Slough, Shark River Slough, Water Conservation Area 3, and the C-111 Panhandle. Prey species included are the six most common small fishes prior to swamp eel invasion of Taylor Slough (1996–2009) and the three common decapod species (two crayfish species and grass shrimp). An annual index of mean wet season electrofishing catch-per-unit-effort of swamp eels, Mayan cichlids (Mayaheros uruphthalmus), and the three other large 'top predator' fishes (Amia calva, Lepisosteus platyrhincus, Micropterus salmoides) is included for plots where electrofishing was performed from 1997-2021. Hydrologic measures used in analyses are included.
Arthropod pitfall trap data from 12 NPP study locations at the Jornada Basin LTER site, 1996-2001
This data package contains counts and taxonomic identification of arthropods sampled by pitfall traps at the Jornada Basin LTER site from 1996-2001. The objective of this study is to observe how shifts in vegetation resulting from desertification processes in the Chihuahaun desert have changed the spatial and temporal availability of resources for consumers. Desertification changes in the Jornada Basin include changes from grass to shrub dominated communities and major soil changes. If grassland systems respond to rainfall without significant lags, but shrub systems do not, then consumer species should reflect these differences. In addition, shifts from grassland to shrubland results in greater structural heterogeneity of the habitats. We hypothesized that consumer populations, diversity, and densities of some consumers will be higher in grasslands than in shrublands and will be related to the NPP of the sites. Arthropods were captured in pitfall traps at LTER III consumer plots (a subset of NPP plots) at 2 month intervals. Data collected includes number of individuals, order, family, genus, and species. This study is complete. Earlier arthropod data collected using a different study design are in package knb-lter-jrn.210008002.
Canopy height profile starting 1992, 1994 and 1996 of the Luquillo Forest Dynamics Plot (LFDP), Puerto Rico
File LFDP_canopy contain the canopy heights for the Luquillo forest Dynamics plot. The first measurement started in 1992, and it was planned to measure the canopy height profile every 2 years. So far censuses starting in 1992, 1994, and 1996 have been completed. In the 1992 census the canopy height profile at points along the East and North limits of the plot were not included. In 1994 and 1996 these extra points were assessed. The National Science Foundation requires that data from projects it funds are posted on the web two years after any data set has been organized and "cleaned". The data from each census of the LFDP will be updated at intervals as each survey of the LFDP shows errors in the previous data collection. After posting on the web, researchers who are not part of the project are then welcome to use the data. Given the enormous amount of time, effort and resources required to manage the LFDP, obtain these data, and ensure data accuracy, LFDP Principal Investigators request that researchers intending to use this data comply with the requests below. Through complying with these requests we can ensure that the data are interpreted correctly, analyses are not repeated unnecessarily, beneficial collaboration between users is promoted and the Principle Investigators investment in this project is protected. Submit to the LFDP PIs a short (1 page) description of how you intend to use the data; · Invite LFDP PIs to be co-authors on any publication that uses the data in a substantial way (some PIs may decline and other LFDP scientists may need to be included); If the LFDP PIs are not co-authors, send the PIs a draft of any paper using LFDP data, so that the PIs may comment upon it; In the methods section of any publication using LFDP data, describe that data as coming from the "Luquillo Forest Dynamics Plot, part of the Luquillo Experimental Forest Long-Term Ecological Research Program"; Acknowledge in any publication using LFDP data the "The Luquillo Experim
Herbivory of eight common species at El Verde from 1994 to 1996
In seasonal and aseasonal tropical forests, leaf production is often highly synchronous, concentrating herbivore resources in only a few months. As a result levels of herbivory on young leaves can vary throughout the year. To determine the importance of food availability on herbivory, leaf phenology and leaf damage were studied in an aseasonal forest, Luquillo Experimental Forest (LEF) in Puerto Rico. Leaf production was associated with an increase in light availability but leaf damage was relatively constant throughout the year. Leaf phenology and leaf damage was compared between LEF and a seasonal forest, Barro Colorado Island (BCI) Panamá. In BCI leaf production was associated with increases in water availability and leaf damage was significantly higher on leaves produced after the peak in leaf production. Leaf damage was significantly lower in LEF in comparison with BCI. Differences in the trophic structure between the two forests may explain the differences in levels of leaf damage. The density of frogs and lizards in LEF was approximately an order of magnitude greater than in BCI and these predators may limit the populations of herbivores and reduce leaf damage levels. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
High-frequency, hourly, and daily measurements from the West Lake Bonney "Blue Box" (WLBBB), McMurdo Dry Valleys, Antarctica (1996-2024, ongoing)
As part of the McMurdo Dry Valleys Long Term Ecological Research program, continuous measurements have been collected from a network of automated lake monitoring platforms in the McMurdo Dry Valleys of Antarctica. These lake-based stations, commonly referred to as “blue boxes” due to their historically blue instrument enclosures, provide high-frequency observations of key limnological variables essential for understanding physical drivers of aquatic ecosystem dynamics in the perennially ice-covered, meromictic lakes of this polar desert environment. This data package includes measurements from the West Lake Bonney “blue box” lake monitoring platform (WLBBB), established during the 1996-1997 austral summer in West Lake Bonney, Taylor Valley. Parameters include air and water temperature, surface and underwater photosynthetically active radiation (PAR), continuous stage (lake level), ice surface ablation, and, beginning in the 2022-2023 austral summer, dissolved oxygen (DO), reported as percent saturation due to the unavailability of continuous salinity measurements required for computing concentration. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. As there is no universally accepted standard for handling gaps in time-series data, users are encouraged to use the high-frequency data and establish their own criteria for acceptable data completeness to minimize potential bias.
Spatial distribution of snow water equivalent for the Niwot Ridge, 1996 - 2019
This dataset provides a daily estimation of snow water equivalent for the Niwot Ridge during snow melting period from 1997 to 2019 at 30-meter spatial resolution. The dataset includes two series of SWE data: 1) 1996-2007 daily SWE dataset is generated by Jepsen et al., (2012); 2) 2008-2019 daily SWE dataset is generated by Dr. Kehan Yang following the same method used by Jepsen et al., (2012). In brief, a physically based reconstruction model is used to calculate daily SWE backward from snow disappearance date to peak snow accumulation. The infilled hourly climate data set for C1, Saddle and D1 (data available at https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-nwt.168.2) is interpolated and used as the meteorological forcing in the snow energy balance calculation of SWE reconstruction. The shortwave radiation is estimated by downscaling hourly product of the Geostationary Operational Environmental Satellite (GOES) using TOPORAD tool. The USGS Landsat Level-3 fractional snow-covered area product is used to proportion potential energy flux for snowmelt at the pixel scale. Please see detailed methods included with this data package for more details and references.
Kelp metapopulations: Semi-annual time series of giant kelp patch area, biomass and fecundity in southern California, 1996 - 2006
These data describe the patch-scale canopy biomass and population fecundity of giant kelp, Macrocystis pyrifera, in southern California, USA, from 1996¬ to 2007. Biomass of the surface canopy was estimated using diver-calibrated Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper Plus satellite imagery. Fecundity was estimated from canopy biomass pixel data using a seasonally-adjusted relationship between the diver-measured density of giant kelp spore-bearing tissue and the Landsat estimate of canopy biomass density using data collected across five years at the San Clemente Artificial Reef, located offshore of San Clemente, California, USA. Landsat pixel-scale estimates of giant kelp biomass and fecundity were summed across space for each giant kelp patch and averaged across time separately with two semesters each year (January–June and July–December). The location and area of each giant kelp patch are also provided. These data were described in <ulink url="http://dx.doi.org/10.1890/15-0283.1">Castorani, M. C., D. C. Reed, F. Alberto, T. W. Bell, R. D. Simons, K. C. Cavanaugh, D. A. Siegel and P. T. Raimondi. Connectivity structures local populations dynamics: a long-term empirical test in a large metapopulation system. Ecology. DOI: 10.1890/15-0283.1</ulink> These data are part of the NSF collaborative project: The effect of inbreeding on metapopulation dynamics of the giant kelp, Macrocystis pyrifera (funded wholly or part by NSF Awards OCE-1233283, 1233288, 1233839).
Kelp metapopulations: Semi-annual time series of spore dispersal times among giant kelp patches in southern California, 1996 - 2006
These data describe the estimated dispersal duration of spores of giant kelp, Macrocystis pyrifera, among patches in southern California, USA, from 1996 to 2006. Asymmetrical and dynamic estimates of giant kelp spore dispersal durations among patches were estimated for 6-month periods (January - June and July - Dececember, 1996 - 2006) using minimum mean transit times connecting source and destination connectivity cells in a high-resolution, three-dimensional, spatiotemporally-explicit ocean circulation model (Regional Oceanic Modeling System, ROMS). Minimum transport times between giant kelp patches were assumed to be proportional to minimum transport times between ROMS cells and the alongshore distance between giant kelp patches
Tree measurements and summaries of the field plots used to develop Rojo and Montero (1996) yield tables for Pinus sylvestris L. in central Spain
<p>Tree measurements for principal trees and trees marked for thinning and summaries of the Pinus silvestris L. plots measured for the construction of Rojo and Montero (1996) Pinus sylvestris L. yield tables for central Spain. PRM_Functions.R contains R functions implementing parameter recovery methods to transform Rojo and Montero (1996) Pinus sylvestris L. yield tables into a diameter distribution model.</p> <p><strong>Trees.csv: </strong>Comma separated file with headers in the first row. Each record represents a measured tree. Fields:</p> <ul> <li>"PlotID": Identifier of the plot where the tree was measured</li> <li>"Type": Code indicating if the tree was marked for thinning.</li> <li>"ID_tree" Tree_Identifier</li> <li>"DBH1": First Diameter at breast height measurement for the tree.(mm)</li> <li> "DBH2" Second diameter at breast height measurement for the tree. The second measurement was taken in the direction perpendicular to the first measurement. (mm)</li> <li>"DBHmean": Mean of DBH 1 and DBH 2 <strong>and converted to cm</strong> (cm)</li> </ul> <p><strong>Plot_summaries.csv: </strong>Comma separated file with headers in the first row. Data digitized from Annex II of Rojo and Montero (1996). Each record contains different forest attributes of the plot. Fields:</p> <ul> <li>"PlotID": Identifier of the plot where the tree was measured</li> <li>"Age": Age of the plot determined from tree cores (Years)</li> <li>"Ho" Assman Dominant height for the plot (meters)</li> <li>"SiteIndex": Site index for the plot in meters. Site index is defined as the dominant height in meters measured or expected for the plot for an Age of 100 years.</li> <li>"MeanH" Mean tree height (m)</li> <li>"Dg" Quadratic mean diameter (cm)</li> <li>"Do" Dominant diameter. Mean diameter of the 100 largest trees of a hectare (cm)</li> <li>"N" Stand density (trees per hectare)</li> <li>"G" Plot basal area (m<sup>2</sup>/ha)</li> <li>"V" Total plot volume per unit area (m<sup>3</sup>/ha)</li> <li>"DeltaV" Periodic increment of merchantable volume (m<sup>3</sup>/ha)</li> <li>"Bark" Average percentage of total volume that is Bark. (%)</li> </ul> <p><strong>PRM_Functions.R: </strong>R functions to solve parameter recovery systems of equations based on mean and quadratic mean diameter and dominant diameter, quadratic mean diameter and stand density. Details provided as comments.</p> <p><strong>References</strong></p> <p>Rojo Alberto, Montero G (1996) El pino silvestre en la Sierra de Guadarrama: historia y selvicultura de los Pinares de Cercedilla, Navacerrada y Valsain. Ministerio de Agricultura, Pesca y Alimentación, Secretaria General Tecnica, Centro de Publicaciones, Madrid</p>
Data for recreation (with adjustments) of Wheatley's 1996 long barrow viewshed analysis
<p>Following Wheatley's (1996) viewshed analysis of real and simulated long barrows in two regions of Wiltshire, this study aimed to replicate the analysis (investigating regional variation in barrow viewsheds) with the additional factor of elevation included to limit the random generation of long barrows to elevations where they have been observed, to avoid potential skewing of viewshed areas.</p> <p>This dataset contains 20x20km squares surrouding Avebury and Stonehenge which match Wheatley's demarcated 'subregions;' as well as polygons matching the elevation ranges within which long barrows were found in each subregion; random points generated in these subregions; the calculated viewshed areas for real and simulated barrow points, and a complete dataset for long barrows recorded on the Wiltshire HER, both certain and potential. To carry out a viewshed analysis with this data, a DTM is also required.</p>
ERA5-Land selected indicators daily aggregates for Africa, 1996
<p>This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land for eight selected indicators, covering Africa for 1996.</p> <p>Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.</p> <p>For 2m dewpoint pressure, 10m u-component of wind, 10m v-component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean, and minimum were used for aggregation.</p> <p>Those files were created using the <a href="https://github.com/ErikKusch/KrigR">KrigR</a> package.</p>
Trento 1936 - Building 1996
<u>Coordinates</u>: N/A <br><u>Length</u>: 70.94 m<br><u>Width</u>: 13.65 m<br><u>Height</u>: 24.66 m<br><u>Points</u>: 8 <br><u>Vertices</u>: 36 <br><u>Primitives</u>: 12 <br><br><u>Main Files:</u><br><table><tbody><tr><th>Filename</th><th>.glb</th><th>.xml</th><th>.obj</th></tr><tr><td><a href="https://zenodo.org/api/records/12692915/files/building_1996.glb/content">building_1996.glb</a></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996.glb/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12692915/files/building_1996.obj/content">building_1996.obj</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996.obj/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12692915/files/11573749_metsmods.xml/content">11573749_metsmods.xml</a></td><td></td><td><a href="https://zenodo.org/api/records/12692915/files/11573749_metsmods.xml/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12692915/files/11573749_edm.xml/content">11573749_edm.xml</a></td><td></td><td><a href="https://zenodo.org/api/records/12692915/files/11573749_edm.xml/content">Link</a></td><td></td></tr></tbody></table><br><br><u>Thumbnails:</u><br><table><tbody><tr><th>Perspective</th><th>1000x1000</th><th>512x512</th><th>256x256</th><th>128x128</th></tr><tr><td>Perspective 1</td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692915/files/building_1996_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br> - v<a href="https://doi.org/10.5281/zenodo.12541820">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br> - v<a href="https://doi.org/10.5281/zenodo.12692915">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>
ERA5-Land selected indicators daily aggregates for the Latin America region, 1996
<p>This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 1996.</p><p>Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.</p><p>For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.</p><p>Those files were created using the <a href="https://github.com/ErikKusch/KrigR">KrigR</a> package.</p>
Journey North - Hummingbird observations by volunteer community scientists across Central and North America (1996-2020)
This data package contains hummingbird migration data (1996 - 2020) across North and Central America collected by 30,703 community scientists for Journey North, a crowdsourced participatory science program of the University of Wisconsin-Madison Arboretum. The Journey North Hummingbird Project is an ongoing study of hummingbird phenology conducted at broad spatial and temporal scales. Since 1996, community scientists have tracked first arrival dates and breeding and feeding behavior as well as the onset of fall migration and presence of hummingbird species throughout the winter months in the United States. Focal species are the Ruby-throated Hummingbird (Archilochus colubris) and Rufous Hummingbird. However, observational data is also available for Broad-tailed Hummingbird (Selasphorus platycercus), Black-chinned Hummingbird (Archilochus alexandri), Calliope Hummingbird (Selasphorus calliope), Costa's Hummingbird (Calypte costae), Anna’s Hummingbird (Calypte anna), Allen’s Hummingbird (Selasphours sasin). Observers also provide estimates of the number of birds sighted. However, observers do not follow standardized methods for counting species observed. Observers do not observe at set times of the day, do not repeat observations regularly, and are not required to provide the length of time during which a specified number of species observed were counted. Therefore, it is recommended that this dataset be analyzed to indicate presence, not abundance. Additional contextual information is provided as text in the comments field of the dataset. The Journey North Hummingbird Project dataset is hosted by the University of Wisconsin-Madison Shared Web Hosting Service.
Journey North - Monarch Butterfly and Milkweed observations by volunteer community scientists across Central and North America (1996-2020)
This data package contains monarch migration data (1996 - 2020) across North America collected by 42,518 community scientists for Journey North, a crowdsourced participatory science program of the University of Wisconsin-Madison Arboretum. The Journey North Monarch and Milkweed project is an ongoing study of monarch migration phenology conducted at broad spatial and temporal scales. Since 1996, community scientists have tracked first arrival dates and breeding and feeding behavior as well as the onset of fall migration, fall roosts, and peak migration events. Community scientists have also tracked the first emergence of milkweed in the spring and the presence of milkweed across the landscape during the summer, fall-winter months. The focal species is the Monarch Butterfly, Danaus plexippus. Community scientists indicate when known milkweed species in submitted comments. Journey North data is observational and often opportunistic in nature. Observers do provide estimates of the number of adult monarch butterflies sighted during an observation. However, observers do not follow standardized methods for counting species observed. Observers do not observe at set times of the day; do not repeat observations regularly, and are not required to provide the length of time during which a specified number of species observed were counted. Therefore, it is recommended that this dataset be analyzed to indicate presence, not abundance. Additional contextual information is provided as text in the comments field of the dataset. The Journey North Monarch and Milkweed project dataset is hosted by the University of Wisconsin-Madison Shared Web Hosting Service.
30 meter digital elevation model (DEM) clipped to the Andrews Experimental Forest, 1996
Elevation Model for the HJ Andrews Experimental Forest (30 meter DEM). This dataset includes the raw DEM, and several value added products. The products are contour lines, aspect, percent slope, and a hill shade for relief mapping.
Vegetation classification, Andrews Experimental Forest and vicinity (1988,1993,1996,1997,2002, 2008)
This data set includes vegetation classifications from the Willamette National Forest (years 1993, 1996, 1997, 2002, and 2008) and from 1988 thematic mapper satellite image.
Nutrient and microbial characteristics of mountain stream fine benthic organic matter in the H.J. Andrews Experimental Forest, 1995 to 1996
Numerous studies have examined qualitative shifts in leaf litter composition in the early to middle stages of decomposition. (Suberkropp, Godshalk and Klug 1976, Petersen and Cummins 1974, Findlay and Arsuffi 1989) which have shown that changes in leaf species and composition lead to marked differences in microbial processing rates (Suberkropp and Klug 1976) and that leaf and woody debris decomposition rates are related to both litter C:N and extracellular enzyme activities (Taylor et al. 1989, Sinsabaugh et al. 1992, Sinsabaugh and Linkins 1993). Since most organic matter moves through streams as fine particulate organic matter (FPOM) (Sinsabaugh et al. 1992) it is a potentially important link between terrestrial and aquatic environments. Although there is increasing interest in understanding FPOM dynamics, there have been few studies of factors influencing stream sediment FBOM chemical or microbial characteristics.
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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.