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8,620 results for “Experimentation”
Demographic census data for four perennial plants under experimental pollination treatments
These demographic data were collected to measure the effects of manipulated pollination treatments on the population dynamics of four iteroparous perennial plant species: Delphinium nuttallianum (Ranunculaceae), Hydrophyllum fendleri (Boraginaceae [Hydrophyllaceae]), Erigeron speciosus (Asteraceae), and Potentilla pulcherrima (Roseaceae). The pollination treatments consisted of Control corresponding to ambient pollination, Reduced for which 50% of open flowers on each individual were enclosed in mesh to exclude pollinators, Supplemented for which all receptive flowers were hand pollinated with outcross pollen, and Variable for which individuals received the Reduced treatment in ca. 50% of years. The full life cycle was characterized from at least four annual demographic censuses of tagged plants between 2017-2022, germination rates estimated in seed addition plots, and soil seed bank survival estimated from buried seed bags.
Marcell Experimental Forest daily precipitation, 1961 - ongoing
This data publication contains daily precipitation data collected from 1961-ongoing at the Marcell Experimental Forest (MEF) in Itasca County, Minnesota, which is operated and maintained by the USDA Forest Service, Northern Research Station. The data come from seven peatland watersheds instrumented for hydrologic monitoring.
Marcell Experimental Forest seasonal soil moisture, 1966 - ongoing
This data publication contains available soil water measured three times a year (1966 - ongoing) at the Marcell Experimental Forest (MEF) in Balsam Township, Itasca County, Minnesota. The data came from six peatland / upland forest watersheds instrumented for long-term hydrological and biogeochemical research. The Marcell Experimental Forest in Itasca County, Minnesota is operated and maintained by the USDA Forest Service, Northern Research Station, and was formally established in 1962 to study the ecology and hydrology of peatlands.
Desert Fertilization Experiment: investigation of Sonoran desert ecosystem response to atmospheric deposition and experimental nutrient addition, ongoing since 2006 (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/253/3, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/632/9. The abstract below was extracted from the Level 0 data package and is included for context:
Air Quality Index (AQI) data from PurpleAir sensor at H.J. Andrews Experimental Forest LTER
This dataset contains hourly air quality and meteorological measurements collected from a PurpleAir sensor deployed at the H.J. Andrews Experimental Forest Long Term Ecological Research (LTER) site. The data includes four variables: timestamp (in Pacific Time), relative humidity (%), temperature (°C), and particulate matter concentrations (PM2.5 in µg/m³ using the CF=1 correction factor). The sensor provides continuous monitoring of local air quality conditions, with particular focus on fine particulate matter that can impact ecosystem health and visibility. Data are recorded at hourly intervals and timestamped in ISO 8601 format with UTC offset. PM2.5 values are reported using PurpleAir's CF=1 (Correction Factor 1) algorithm, which is optimized for atmospheric particulate matter. This dataset supports long-term environmental monitoring objectives at the Andrews Forest LTER and provides baseline air quality data for research on atmospheric conditions, wildfire smoke impacts, and climate-ecosystem interactions in Pacific Northwest forest ecosystems.
Ecosystem-level Carbon dioxide fluxes in two long-term experimental wet sedge tundra sites near Toolik Lake, AK, ARC LTER 1994.
Ecosystem-level Carbon dioxide fluxes were measured in two long-term experimental wet sedge tundra sites near Toolik Lake, AK. Experimental treatments at each site included factorial nitrogenXphosphorus, greenhouse and shade house and were begun in 1985 (Sag site) or in 1988 (Toolik sites). Fluxes were measured on quadrats that were later sampled for biomass and leaf area.
Plant biomass in heath tundra experimental plots, 1996, Arctic LTER, Toolik Lake, Alaska.
Plant biomass in arctic heath experimental plots. Plots set up in 1989 with nitrogen, phosphorus, nitrogen plus phosphorus and a shade treatment were harvested for above ground biomass. Root mass was also measured on a smaller subsample.
Above and below ground plant biomass in Arctic LTER's 1981 mesic acidic tussock tundra experimental site (MAT81) harvested in 2000, Arctic LTER, Toolik Lake, Alaska.
Above and below-ground plant biomass, including plant roots, was measured in Arctic LTER's moist acidic tussock tundra experimental site (MAT81). The plots were set up in 1981 and have been harvested in previous years (See Shaver and Chapin Ecological Monographs, 61(1), 1991 pp.1-31). This file contains the 2000 harvested biomass and percent carbon and nitrogen summaries for control and fertilized plots. Leaf area data for select species are available in Shaver, G. 2016. https://doi.org/10.6073/pasta/13915ef410067ef23bad0faff678319c
Above ground plant and below ground stem biomass in the Arctic LTER acidic tussock tundra experimental plots, 2002, Toolik Lake, Alaska.
Above ground plant and below ground stem biomass and their carbon and nitrogen content was measured in the Arctic LTER moist acidic tussock tundra experimental plots(MAT89). Treatments included control, nitrogen plus phosphorus amended plots for either 6 or 13 years and vole exclosure plots with or without amends of nitrogen and phosphorus. Note: The added Carbon and Nitrogen values were incorrectly added to the data sheet. A block of data was repeated for all treatments. In version 14 the values were corrected.
Air temperature and humidity, and soil temperature data from the Arctic LTER Moist Non-acidic Tussock Experimental plots (MNT97), Toolik Lake Field Station, Alaska, 1999-2025.
In 1999, a Campbell CR10x data logger was installed in block 2 of the Arctic LTER Toolik Moist Non-acidic Tussock Experimental plots(MNT97). The plots are located on a hillside near Toolik Lake (68 38' N, 149 36'W). Air temperature and relative humidity were measured at 3 meters (control), and inside the greenhouse, and fertilized greenhouse. Soil temperatures were measured with thermocouples placed in control, fertilized, greenhouse, and fertilized-greenhouse plots.
Hourly weather data from the Arctic LTER Wet Sedge Inlet Experimental plots from 1994 to present, Toolik Field Station, North Slope, Alaska.
Hourly weather data from the Arctic Tundra LTER wet sedge experimental site at Toolik Lake. The following parameters are measured every minute and averaged every hour: control plot air temperature and relative humidity at 3 meters and greenhouse plot air temperature and relative humidity at 1 meters (inside the greenhouse).
Late season thaw depth measured in the Arctic Long Term Ecological Research (ARC LTER) moist acidic tussock experimental plots at Toolik Field station, Alaska Arctic 1993 to 2025
Late season thaw depth was measured in the Arctic Long Term Ecological Research (ARC LTER) experimental plots (1981 Moist Acidic Tussock, 1989 Moist Acidic Tussock, 2006 Low Fertilization Moist Acidic Tussock, 1989 Moist Non-acidic Tussock, 1989 Moist Non-acidic Non-tussock and 1989 Wet Sedge tundra) at Toolik Lake, Alaska using a steel thaw probe. Note: for 2017-2018 only 1989 Moist Non-Acidic Tussock Tundra and 2006 Low fertilization Moist Acidic Tussock Tundra were measured. For other sites it has become difficult to distinguish rocks from frozen soil with a steel thaw probe. Starting in 2023 weekly thaw depth measurements were made throughout the growing season in the 2006 Low fertilization Moist Acidic Tussock Tundra experiment.
Soil biogeochemical variables collected on the Arctic Long Term Ecological Research (ARC LTER) experimental plots in moist acidic and dry heath tundra, Arctic LTER, Toolik Field Station, Alaska 2017.
**Note: Versions 1 and 2 had the wrong data files.** Soil nutrients (total Carbon and Nitrogen, inorganic nutrients (ammonium ion (NH4), nitrate anion (NO3-), phosphate anion (PO43-)); organic nutrients (extractable organic carbon (EOC), extractable total nitrogen (ETN), extractable organic phosphorus (EOP)), microbial biomass, and extracellular enzyme activity on soils sampled from the Arctic LTER Dry Heath (organic soils only) and Moist Acidic Tundra (organic and mineral soils) herbivore exclosures and control plots at Toolik Lake, AK in July 2017.
Above ground plant, belowground stem and root biomass in Arctic Long-term Ecological Research's 2006 moist acidic tussock tundra experimental sites, 2012, Toolik Lake, Alaska.
Above ground plant, belowground stem and root biomass was measured in moist acidic tussock tundra experimental sites established in 2006 by the Arctic Long-term Ecological Research site (ARC-LTER. Control plots and plots amended with three different levels of nitrogen(N) and phosphorus(P), F10 (10 g/m2 N and 5 g/m2 P); F5 (5 g/m2 N and 2.5 g/m2 P); F2 (2 g/m2 N and 1 g/m2 P), were sampled.
Bonanza Creek LTER: Yearly Seedfall Summary from 1957 to Present in the Bonanza Creek Experimental Forest near Fairbanks, Alaska
The Yearly Seedfall Summary dataset includes seed counts and germination rates of Picea glauca, Picea mariana, Betula neoalaskana (papyrifera), Picea mariana, Larix larciana, Alnus crispa, and Alnus tenuifolia. Seeds are collected in .25m^2 trays located on the forest floor of the a selected set of LTER successional sites. Germination takes plaace in the BECRU lab facility at UAF.
Bonanza Creek LTER: Shrub, Seedling and Sapling Density from 1975 to Present in the Bonanza Creek Experimental Forest near Fairbanks, Alaska
This study is a survey of the density of tall shrubs, saplings, and seedlings at Bonanza Creek LTER Control Plots. Densities have been measured at some sites since 1975 while others began in the mid 1980's. In 2006 methodology was changed in attempt to better capture the spatial variability of shrub and tree species within the research sites. The current method, presented here, uses a 2 meter wide transect along two site boundaries covering 220m2. All seedlings, saplings, and tall shrubs >1m (regardless of species) are counted by species and size class along the transect. The previous method used 4m2 circular plots at 20 points on a 10mx10m grid within the control plot for an area of 80m2. The circular method measured all seedlings, saplings, and a certain set of "tall shrubs", regardless of height. The height requirement creates an issue when comparing the old and new methods for early successional stands. For Alnus and Salix this is likely only a problem in the FP0 sites as they are the only sites with a high density of shrubs shorter than 1m. Shrub community changes at these early successional sites should be analyzed using percent cover data. At the later successional sites most Alnus and Salix shrubs are greater than 1m so the transect method likely does not underrepresent density. The metadata and raw data from the circular method can be found in <a href="http://www.lter.uaf.edu/data/data-detail/id/175"> Vegetation Plots of the Bonanza Creek LTER Control Plots: Species Count (1975 - 2004) </a>.
Critical slowing down: vegetation height, cover and composition assess resilience of tidal fresh, brackish and salt marshes following experimental disturbance at twelve sites across the estuarine landscape
We investigated the relative recovery rates of vegetation cover, vegetation height and community composition over a period of >10 years after experimental disturbance in 12 tidal marshes (two oligohaline, three mesohaline and seven polyhaline sites) across the estuarine landscape on the coast of Georgia, USA. Vegetation was removed from three by three meter plots (four per site) with herbicide in 2006 followed by repeated clipping through 2009. Vegetation height, cover and composition was assessed in experimental and control plots (4 of each per site) from 2010 to 2020. The goal of the study was to assess how quickly the sites recovered from disturbance, how this varied in different types of marshes, and how results varied depending on whether recovery was assessed by vegetation height, cover or composition.
Hubbard Brook Experimental Forest: Chemistry of Streamwater – Monthly Fluxes, Watershed 8, 1995 - ongoing
These data are monthly fluxes of solutes in stream water measured in watersheds of the Hubbard Brook Experimental Forest and are a part of the Hubbard Brook Watershed Ecosystem Record (HBWatER), which is a long-term record of stream and precipitation chemistry and volume. The solute fluxes in stream water are calculated as the product of the volume of stream water and solute concentrations. There are nine gaged watersheds at the Hubbard Brook Experimental Forest, some of which have been subjected to experimental manipulations. The calculation of fluxes is currently supervised by John Campbell (US Forest Service). The long-term stream water record is collected and maintained by the US Forest Service. The collection and management of the long-term stream and precipitation chemistry record was initiated in 1963 by Gene E. Likens, F. Herbert Bormann, Robert S. Pierce, and Noye M. Johnson. HBWatER is currently sustained by Tammy Wooster (Cary IES) and Jeff Merriam (USFS) and the dataset is curated and maintained by a team of researchers: Chris Solomon (Cary IES), Emma Rosi (Cary IES), Emily Bernhardt (Duke), Lindsey Rustad (USFS), John Campbell (USFS), Bill McDowell (UNH), Charley Driscoll (Syracuse U.), Mark Green (Case Western), and Scott Bailey (USFS). Current Financial Support for HBWatER is provided by NSF LTREB # 1907683 and the USDA Forest Service Northern Research Station. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the US Forest Service, Northern Research Station.
Hubbard Brook Experimental Forest: Chemistry of Streamwater – Monthly Fluxes, Watershed 9, 1995 - ongoing
These data are monthly fluxes of solutes in stream water measured in watersheds of the Hubbard Brook Experimental Forest and are a part of the Hubbard Brook Watershed Ecosystem Record (HBWatER), which is a long-term record of stream and precipitation chemistry and volume. The solute fluxes in stream water are calculated as the product of the volume of stream water and solute concentrations. There are nine gaged watersheds at the Hubbard Brook Experimental Forest, some of which have been subjected to experimental manipulations. The calculation of fluxes is currently supervised by John Campbell (US Forest Service). The long-term stream water record is collected and maintained by the US Forest Service. The collection and management of the long-term stream and precipitation chemistry record was initiated in 1963 by Gene E. Likens, F. Herbert Bormann, Robert S. Pierce, and Noye M. Johnson. HBWatER is currently sustained by Tammy Wooster (Cary IES) and Jeff Merriam (USFS) and the dataset is curated and maintained by a team of researchers: Chris Solomon (Cary IES), Emma Rosi (Cary IES), Emily Bernhardt (Duke), Lindsey Rustad (USFS), John Campbell (USFS), Bill McDowell (UNH), Charley Driscoll (Syracuse U.), Mark Green (Case Western), and Scott Bailey (USFS). Current Financial Support for HBWatER is provided by NSF LTREB # 1907683 and the USDA Forest Service Northern Research Station. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the US Forest Service, Northern Research Station.
Hubbard Brook Experimental Forest: Daily Precipitation Rain Gage Measurements, 1956 - present
Precipitation has been measured at the Hubbard Brook Experimental Forest using rain gauges located in or around each watershed since 1956. Three types of rain gauges have been used: standard, mechanical weight recording, and electronic weight recording. Between 1956 and 2014, precipitation was measured weekly at standard gages located at 24 stations in or near gauged watersheds and at the headquarters building. Weight-recording gauges were located at 7 of the 24 stations and capture a continuous strip-chart record. Weekly totals were prorated using daily totals from the nearest recording gauges. Beginning in 2011, electronic weighing rain gauges were implemented to measure 15-minute precipitation. The number of precipitation stations was reduced to 10, when each station was fully converted to an electronic gauge for measuring 15-minute and daily precipitation beginning in 2015. These data were gathered at the Hubbard Brook Experimental Forest in Woodstock, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
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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.