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1,077 results for “1981”
Above ground plant biomass and leaf area of moist acidic tussock tundra 1981 experimental site (MAT81), Arctic LTER, Toolik Lake, Alaska.1995.
Above ground plant biomass and leaf area were measured in a tussock tundra experimental site. The plots were set up in 1981 and have been harvested in previous years (See Shaver and Chapin Ecological Monographs, 61, 1991 pp.1-31).
Streamflow data for Albion camp, 1981 - ongoing.
This is a summary of discharges from the Green Lakes Basin (7.1 km2 area) and is based on stage records from the control section in the channel, about 50 m downstream of the culvert under the road at the Albion camp, and consists of daily flow volumes. Initially, instrumentation consisted of a Leupold-Stevens A70 float recorder. The site was initially instrumented with an Omnidata EZ900 data logger system interfaced to a Keller 1 psi pressure transducer on 29 June 1993. In order to establish cross-calibration between the 2 forms of instrumentation, both were planned to be used through 1994. In 2005, a Campbell cr10x data logger was installed; it was replaced by a Campbell cr1000 in 2013.
Precipitation data for Saddle chart recorder, 1981 - ongoing.
Precipitation data were collected on a daily time-scale from the Saddle climate station (3525 m) since 1981. Over time, various circumstances have led to days with missing values. Some of these values were estimated from nearby climate stations for years up to 2008 using the methods described in METHODS.
Long-term record of lake and stream biogeochemistry from the Loch Vale Watershed, Rocky Mountain National Park, Colorado, USA: 1981-2024
The Loch Vale Watershed (LVWS) Project is a long-term research and monitoring program that addresses watershed-scale ecosystem processes, particularly as they respond to atmospheric deposition and climate variability. The LVWS is a 7-km2 high-altitude basin located within Rocky Mountain National Park in the Colorado Front Range (Colorado, United States of America). This dataset includes year-round measurements of physical water parameters, nutrients, major ions, trace metals, silica, and chlorophyll collected from lakes and streams within the LVWS basin. Related data entities: Scanned field notebooks from the Loch Vale Watershed Project from 1981-2023 are available via this published data release: https://www.sciencebase.gov/catalog/item/6723cba2d34e4f57573e8e45. Quality assurance reports from the Loch Vale Watershed Project are available for specific time periods and can be found at the following locations: 1983-1987: included in this data release under "Other Entities", file name LWVS_QAreport_1983to1987_Denning 1988: included in this data release under "Other Entities", file name LWVS_QAreport_1988_Denning 1989-1990: included in this data release under "Other Entities", file name LWVS_QAreport_1989to1990_Edwards 1995-1998: https://doi.org/10.3133/ofr99111 1999-2002: https://doi.org/10.3133/ofr20041306 2003-2009: https://doi.org/10.3133/ofr20111137 2010-2019: https://doi.org/10.3133/tm1D9 The most recent methods manual is included in full in this data release under "Other Entities", file name "LVWS Methods Manual". Please refer to this manual for the detailed methods.
Santa Barbara Channel Marine BON: Nearshore kelp forest integrated fish, 1981-ongoing
The Santa Barbara Channel Marine Biodiversity Observation Network (SBCMBON) tracks long-term patterns in species abundance and diversity. This dataset contains counts of fish (including cryptic fish, which are deliberately sought out) produced by integrating data from four contributing projects working in the kelp forests of the Santa Barbara Channel, USA. The four contributing projects are two research projects, the Santa Barbara Coastal LTER (SBC LTER) and the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO), and the kelp forest monitoring program of the Santa Barbara Channel National Park, and the San Nicolas Island monitoring program supported by USGS. Together, these projects have recorded data for more than 200 species at approximately 100 sites on both the mainland coast and on the Santa Barbara Channel Islands. Sampling began in 1980 and is ongoing. Data were collected by human observation (divers using SCUBA) during regular surveys. This dataset includes five entities, three data tables and two R scripts. The main data table contains counts of organisms, the bottom-area and height of the water column over which the fish were surveyed. The column labeled “count” records the number of organisms found in each plot/transect at a given timestamp. A second data table contains place names and geolocation for sampling sites. Information is sufficient for the calculation of fish density, which is left to the user. The third data table contains the depths of each transect the for the fish survey. Sample R script is included to illustrate generation of a basic table of areal density by taxa and sampling site. A second R script is included to convert these data from their primary MBON structure to a Darwin Core Archive (and available through multiple sources). MBON is funded by National Aeronautics and Space Administration (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic and Atmospheric Administration (NOAA). For users who are i
Dynamics of montane and subalpine meadows in the Three Sisters Wilderness Area and Biosphere Reserve, 1981-1993
The Three Sisters Wilderness Area is a Biosphere Reserve that represents the northern half of the Sierra-Cascade Province. It encompasses nearly 100,000 ha of essentially undisturbed landscape straddling the crest of the central Cascade Range, Oregon. Coniferous forests dominate the Three Sisters, although the Wilderness also supports a diversity of non-forested habitats including montane and subalpine meadows. The Three Sisters was given wilderness status in 1957 and was selected as a UNESCO Biosphere Reserve in 1974, to represent a "control" area for the nearby H. J. Andrews Biosphere Reserve. Integral to the establishment of a Biosphere Reserve is the documentation of existing ecosystems with baseline data. However, basic ecological research in theThree Sisters has been relatively limited. We conducted two types of studies: (1) phytosociological studies to characterize current vegetation patterns and to interpret relationships between community composition and major environmental and edaphic gradients, and (2) retrospective analyses of the invasion of montane and subalpine meadows by trees with a focus on the effects of recent climatic variation, grazing history, and site environment.
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
CGR01 Sweep sampling of Grasshoppers on Konza Prairie LTER watersheds in 1981 only
Sweep samples for estimating grasshopper (Acrididae) composition and relative abundance at one site for each of 12 Konza Prairie LTER fire/grazing/soil treatment combinations (3 fire treatments x 2 soils x 2 grazing treatments). Samples were collected in June, August, and September. At each site on each occasion, 18 sets of 10 sweeps each (180 sweeps total) were taken. Stored data include for each site on each occasion: total number of each species (all instars combined) collected and total number for each instar for each species (180 sweeps combined).
Small mammal species composition data for Niwot Ridge, 1981 - 1990.
Small mammals were live trapped during the summer of each year at various locations on Niwot Ridge. Species trapped included pikas (Ochotona princeps), marmots (Marmota flaviventris), deer mice (Peromyscus maniculatus), voles (Microtus longicaudus, Microtus montanus, and Phenacomys intermedius), and pocket gophers (Thomomys talpoides). Pocket gophers were only trapped through the summer of 1983. Mice and voles were trapped using Sherman traps, while Tomahawk traps were used to trap both the pikas and marmots. Sherman gopher traps were used to trap gophers. The mice and vole traps were placed 10 meters apart in parallel rows in grids containing from 25 to 100 traps; weather permitting, these traps were placed for 3 consecutive nights every 1 or 2 weeks from June to August. The pikas, marmots, and gophers were trapped during late summer of each year; consult Halfpenny et al. (1984; 1987) for a general description of these trap locations, as well as descriptions of baiting and handling techniques and surrounding vegetation communities. Pika and marmot traps were selectively placed in areas where evidence of these animals existed. In the case of the pocket gophers, traps were placed below ground in active mounds. For pikas, marmots and pocket gophers, traps were set during the day and were checked every 2 hours. After determining and recording species, sex, age, reproductive status, weight, health, and trap location, trapped animals were permanently tagged and released. An additional quality-controlled, derived data-table (pikas_no_recap.cr.data.csv) was added to the original dataset in 2022. This data table is derived from the original capture data, but includes only year-unique captures, where each year-unique capture is the "best" one for comparison with other year-unique captures. For comparability among years, the best capture for comparability among years is usually the first capture of the year, representing the animal's baseline weight for the year (weight appea
AMOC reconstruction between 1981 and 2016 from hydrographic data using an empirical linear regression model from Worthington, E. L., Moat, B. I., Smeed, D. A., Mecking, J. V., Marsh, R., and McCarthy, G. D.: A 30-year reconstruction of the Atlantic meridional overturning circulation shows no decline, Ocean Sci., 17, 285–299, https://doi.org/10.5194/os-17-285-2021, 2021.
<p>Dataset used to create Figure 8 in Worthington et al., 2021 (https://doi.org/10.5194/os-17-285-2021). Details of the data and methods can be found in the journal article.<br> <br> Worthington, E. L., Moat, B. I., Smeed, D. A., Mecking, J. V., Marsh, R., and McCarthy, G. D.: A 30-year reconstruction of the Atlantic meridional overturning circulation shows no decline, Ocean Sci., 17, 285–299, <a href="https://doi.org/10.5194/os-17-285-2021">https://doi.org/10.5194/os-17-285-2021</a>, 2021.</p>
Life History Traits of Resprouting Puerto Rican Tropical Dry Forest Trees, Guánica Forest, 1981-2018
This dataset provides trait and demographic data for 44 tropical dry forest tree species from the Guánica State Forest in southwest Puerto Rico. The study area spans 4,500 ha of semi-deciduous TDF, where the sampled species represent over 90% of all individuals with a diameter at breast height (dbh) ≥2.5 cm. The dataset integrates ten functional traits, combining newly collected measurements (2017–2018) with previously published data (Vargas et al. 2021b). Previously published data includes xylem-specific hydraulic conductivity (ks), Huber value (hv), and hydraulic safety margin (HSM), with species-level data availability ranging from 19 to 44 species, except for HSM, which was measured for six species. Trait measurements were primarily collected during the wet season (August–November), except stomatal behaviour traits (psimax, psidv, and gsmax), which were assessed during the winter dry season before leaf fall. Demographic data encompass species-specific growth rates and annual survival rates for adult trees, derived from four permanent census plots (625 m² to 10,000 m²) distributed across the forest. These plots, established in mature upland TDF on limestone substrates with mollisol soils, were monitored between 1992 and 2019. Growth rate estimates are based on diameter increments recorded at regular censuses over 20.4–26.4 years. Survival rates were calculated over a 21-year period (1998–2019), mitigating the influence of extreme drought events. Standardised measurement protocols ensured data consistency, including repeated diameter assessments at multiple stem locations and the exclusion of wet-season measurements to prevent water-related swelling artifacts. Growth rates were derived from the regression slope of dbh against time, incorporating a minimum of two dbh measurements per individual (following Poorter et al. 2010). Annual survival rate was calculated over a 21-year timespan (1998–2019) to avoid bias introduced by an intense drought in 1997. The followin
Survival, growth and biomass estimates of two dominant palmetto species of south-central Florida from 1981 - 2022, ongoing at 5-year intervals
This data package is comprised of three datasets all pertaining to two dominant palmetto species, Serenoa repens and Sabal etonia, at Archbold Biological Station in south-central Florida. The first dataset, palmetto_data, contains survival and growth data across multiple years, habitats and experimental treatments. The second dataset, seedlings_data, follows the fate of marked putative palmetto seedlings in the field to assess survivorship and growth. The final dataset, harvested_palmetto_data, contains size data and estimated dry mass (biomass in grams) of 33 destructively harvested palmetto plants (17 S. repens and 16 S. etonia) of varying sizes and across habitats. Thirty-two of these were used to calculate estimated biomass, using regression equations, for palmettos sampled in the palmetto_data. Below we summarize experimental setup and data collected for each dataset. Palmetto data Demographic data were collected as three separate components. The first component compared growth among habitats. Starting in 1981, equal numbers of both palmetto species were marked across scrubby flatwoods (oak scrub) and flatwoods habitats (3 sites per habitat) for a total of 240 marked plants. These habitats had not burned within the last decade, but historically had experienced a natural fire return interval of 5 - 20 years prior to this studies initiation. The second component added an additional 400 palmettos (200 of each species), which were marked in sand pine scrub (n = 200) in 1985 and sandhill habitat (n = 200) in 1989 on Archbold's Red Hill. At the time of this project's initiation, all Red Hill management units were last burned in 1927 and were considered long unburned. Part of Archbold's management plan included restoring fire into some management units while leaving others long unburned to serve as reference units. Therefore, for our second component, we were able to create a 2x2 factorial design using habitat types on Red Hill and fire management as factors, with 100
Plant and root biomass, nitrogen, carbon, and phosphorus concentrations in a mesic acidic tussock tundra experimental site established in 1981(MAT81) and harvested in 2015, Arctic LTER, Toolik Lake, Alaska.
Plant and root biomass, nitrogen, carbon, and phosphorus were measured in 2015 in the Arctic LTER tussock tundra experimental site (MAT81). This site was established in 1981 and has been harvested in previous years (see Shaver and Chapin Ecological Monographs, 61(1), 1991, pp.1-31, https://doi.org/10.2307/1942997). Data tables include the biomass for each harvested quadrat and block summaries for percent carbon, nitrogen, and phosphorus for control and fertilized plots from the original 4-block design. New control plots, established in 2015, are in a separate data table and include biomass, percent carbon, nitrogen, and phosphorus for each quadrat.
Block summaries of biomass, carbon, nitrogen, and phosphorus allocation among tissue types, species, and plant functional types from Arctic LTER 1981 Moist Acidic Tussock (MAT81) long-term experiment harvests: 2000 and 2015, Toolik Lake Field Station, Alaska.
A complete accounting of biomass, C, N, and P allocation both among tissue types (leaves, stems, rhizomes, roots) and among species and plant functional types from Arctic LTER 1981 Moist Acidic Tussock (MAT81) long-term experiment’s untreated control plots and plots that were fertilized annually, harvested after 20 and 35 years, near Toolik Lake Field Station, Alaska. Data are gram per meter squared summarized by block.
Model estimates of runoff, dissolved organic carbon, soil temperature and moisture for Elson Lagoon watershed, Alaska, 1981-2020
This dataset contains model estimates of dissolved organic carbon (DOC) yield (mg C/m^2) and runoff (mm), for surface and subsurface flows, soil temperature (degree C), and soil moisture (% of soil volume) for grid cells spanning the Elson Lagoon watershed in northwest Alaska. Daily air temperature, precipitation, and wind speed data from Utqiagvik airport were used for meteorological forcings for the daily simulation by the Permafrost Water Balance Model (PWBM) from 1981 to 2020. The DOC and runoff data files are organized by grid cell and month. The soil temperature and soil moisture files are organized by grid cell and day of year (DOY), and contain values for the first eight model soil layers, with centers of the layers at 1, 3, 8, 13, 23, 33, 45, 55 cm depth. The estimates are most useful for analyses of the dynamics of the watershed’s surface and subsurface runoff and DOC yield. Leachate DOC concentrations can be obtained using the gridded runoff and yield values. A manuscript describing the data and associated analysis has been accepted for publication in Environmental Research Letters (Rawlins et al., 2021).
Streamflow for Green Lake 4, 1981 - ongoing.
This is a summary of discharges from the upper Green Lakes Basin based on stage records from the outlet of Green Lake 4, and consists of daily flow volumes.
Infilled daily precipitation data for Saddle, 1981 - ongoing.
As part of its long-term climate data core collection, the Niwot Ridge LTER has collected daily precipitation at the Saddle site since 1981. The Saddle station is located at 3525 m.a.s.l. and is an important point location to capture local, ambient meteorological conditions for many biological and environmental datasets collected nearby. The location of the Saddle station has also presented challenges to its operation. Freezing temperatures, snow deposition from strong winds following storms, and exposure to lightning are some elements that have disrupted instrument functionality, affected data quality, and made access for research staff difficult over time, especially in winter months. Here we present a quality-controlled, gap-filled, daily precipitation time series corrected for blowing snow overcatch at the Saddle station. Methods follow those used to gap-fill long-term daily precipitation at the Niwot Ridge LTER D1 and C1 stations so there is consistency among core collection daily precipitation datasets. Metadata for this data package centralizes the most complete station history for Saddle precipitation and includes notes to data users on aspects and limitations of the dataset to consider when using these data in scientific analyses. Because of unresolved data quality concerns with winter precipitation the first several years of the record, gap-filled data for winter months (October–May) 1981-10-01 through 1987-05-30 are removed.
Air temperature data for Saddle chart recorder, 1981 - 2017.
Air temperature data were collected on a daily time-scale from the Saddle climate station (3525 m) since 1981. Over time, various circumstances have led to days with missing values. Some of these values were estimated from redundant sensors and nearby climate stations. Greenland 1987 was a basis for the methodology; however when it was not possible to use this methodology, new methods were developed.
Reconstructed SST-NINO3.4 anomalies for the years 850 to 1981
<p>This data set gives values of reconstructed SST-NINO3.4 anomalies for the years 850 to 1981.</p> <p>SST-NINO3.4 is a key ENSO (El Niño Southern Oscillation) index, defined as the spatial average of Sea Surface Temperature (SST) over the NINO3.4 spatial box (170°W-120°W, 5°S-5°N).</p> <p>The reconstructed SST-NINO3.4 anomalies are obtained from a new multiproxy reconstruction based on 45 proxy records obtained from the Past Global Changes 2k database (PAGES 2k Consortium, 2017, 2019) and a so-called Random Forest method. The reconstructed anomalies are relative to the 1870-2014 averaged SST-NINO3.4 obtained from the HadISST product (Rayner et al. 2003). Units are degrees Celsius</p>
Parameters for PITRI Precipitation Temporal Disaggregation over continental US, Mexico, and southern Canada, 1981-2013
<p>This dataset contains parameter values for the Precipitation Isosceles Triangle (PITRI) precipitation disaggregation method (Bohn et al., 2019) over the CONUS+Mexico domain (southern Canada, the continental US, and Mexico; 14.65 - 53° N latitude, 65-125° W longitude), at 1/16° (6 km) spatial resolution. There are two parameters: "dur" (mean event duration [minutes]) and "t_pk" (mean time of peak precipitation intensity [minutes from beginning of day]). In each land grid cell, each parameter has 12 climatological mean monthly values for the period 1981-2013.</p> <p>This dataset contains 2 NetCDF-format files:</p> <ul> <li>domain.CONUS_MX.L2015.nc - this contains parameters over the entire CONUS+Mexico domain, using the land mask of the Livneh et al. (2015) daily meteorology dataset.</li> <li>domain.USMX.L2015.nc - this contains the same parameters, but clipped to exclude Canada (to be consistent with datasets that cover only that part of the domain).</li> </ul> <p>These files are structured as input "domain" files for 2 applications:</p> <ul> <li>MetSim meteorology simulator (https://github.com/UW-Hydro/MetSim/releases/tag/2.0.0_alpha; Bennett et al., 2018). The PITRI algorithm has been implemented as an option in MetSim. To use this algorithm within MetSim, set the "prec_type" option to "triangle" or "mix" in the configuration file. The "mix" option is a blend of the "uniform" (previous) method and the "triangle" method that fixes biases in snow accumulation rates yielded by the "triangle" method in some climates. "mix" uses the "uniform" method on days for which minimum daily temperature falls below 0 C, and "triangle" method on all other days.</li> <li>Variable Infiltration Capacity (VIC) model, release 5.0 and later (Liang et al., 1994; Hamman et al., 2018; https://github.com/UW-Hydro/VIC). VIC does not use the PITRI parameters, but does use the other variables such as mask, elevation, area, etc. For VIC to use the output of MetSim (disaggregated meteorological fields) as input, VIC needs to use the same domain file as was used in MetSim.</li> </ul> <p>Algorithm details can be found in the following paper, which should be cited if you use this dataset:</p> <p>Bohn, T. J., K. M. Whitney, G. Mascaro, and E. R. Vivoni, 2019: A deterministic approach for approximating the diurnal cycle of precipitation for use in large-scale hydrological modeling, Journal of Hydrometeorology 20(2), 297-317, doi: 10.1175/JHM-D-18-0203.1.</p>
ScienceDex guides
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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.