Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
10,599
datasets available to search
ShareScore release 0.9.0
Dataset results
10,599 results for “2017”
Ice core, auger hole, conductivity, and shapefile data to determine bottomfast sea ice extent from lagoon sites along the Beaufort Sea Coast, Alaska, 2017-2021
The shapefile represents bottomfast sea ice (BSI) extent in lagoons along the Alaska Beaufort Sea coast during winter and spring, 2017-2021. It was created by digitizing extents from interferograms from the Alaska Satellite Facility Vertex portal. The result is used to identify BSI lateral extent in Arctic lagoons during the growth cycle seasonally. Comparing to future interferograms will identify the trend of BSI within Arctic lagoons. Each feature is attributed with applicable date range and area. Accurate data for the initial growth and maximum extent of BSI could only be collected for the winter and spring months. After the last collection in the spring, there is likely still BSI; however, the surface processes that take place after this point prevent further readings. For early winter time periods, if there are interferograms available (2017 and 2018 data had gaps in interferogram collection as Sentinel-1 was still new), the first date collected can be considered the onset of BSI formation. Ice cores are collected using a Snow, Ice, and Permafrost Research Establishment (SIPRE) corer and measured for salinity. The data is logged in Excel format following Seasonal Ice Zone Observing Network (SIZONet) practices, making it compatible with the PySIC Python toolkit for analysis. The auger data identifies key measurements collected from in-situ observations. Data are collected along five surveys and saved as a single CSV file. The data represent a 1-D representation of each auger hole. The data are used to verify satellite interpretations of BSI extent. The apparent conductivity data includes values at three frequencies (1000 Hz, 4000 Hz, 16000 Hz) recorded during the spring of 2021 in Western Elson Lagoon. Data are saved as an EMI file, which is a CSV format with specific column names and header information. MATLAB scripts to read and interpret data are included in this data package. The apparent conductivity values are used to identify the boundary between floating
Plant Responses to the GCE-LTER Seawater Addition Long Term Experiment (SALTEx) from 2013 to 2017
This study was conducted in a tidal freshwater marsh (31°20’16” N, 81°27’52” W) on the Altamaha River, GA. Each plot was defined by a 2.5 m x 2.5 m polycon frame, inserted 12 cm into the soil. The frames had drain holes in the sides above the soil surface that were plugged when plots were watered but open otherwise to allow tidal exchange. The plots were randomly assigned to five treatments. Plots were monitored without imposing any treatments in 2013. Treatments started on April 14, 2014. Plots receive diluted saltwater (press and pulse of saline water treatments, n=6), freshwater (freshwater addition treatment, n=6), or no water additions (control with frame and control treatments, n=6 and 7, respectively). The press plots received additions of a mixture of seawater and fresh river water four times each week. Pulse plots received the same mixture but only for 8 weeks in September and October. The freshwater treatment plots received additions of fresh river water four times each week. To document treatment effects on the plant community, we measured stem height, photosynthesis, and percent cover of plants, and blocking of light by the vegetation. We used the same 0.75 m x 0.75 m subplot inside each plot for plant measurements, and took the measurements 3 – 6 times during each growing season from 2013 to 2017. We measured height of all stems of Zizaniopsis miliacea and Persicaria hydropiperoides, and all leaves of Pontederia cordata. In each plot, we chose the tallest individual of those three species and measured their photosynthetic rates using LCi photosynthesis System (ADC BioScientific Ltd, Hoddesdon, UK). Around the same dates, we also visually estimated the percent cover of Ludwigia repens, Persicaria hydropiperoides, Pontederia cordata, and Zizaniopsis miliacea in the entire 2.5 m x 2.5 m plot. We summed the stem heights by species as a first approximation of species biomass. We measured the photosynthetically active radiation (PAR) above top and underneath
Yearly survey of barnacle settlement near creekbank plots at GCE LTER study sites in October 2017
To characterize spatial variation in barnacle recruitment at the creekbank, and across a gradient in salinity and distance to ocean, we deployed PVC poles to passive sample barnacle settlement. Eight poles were deployed between 4-5m apart adjacent to the creekbank vegetation monitoring plots each GCE LTER permanent monitoring site each Fall beginning in 2012. These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Although a few other barnacle species are occur within this estuary, only two species settled on poles: Chthamalus fragilis and Balanus spp.
Eddy covariance 30-minute CO2 fluxes with accompanying biophysical variables from the GCE-LTER flux tower site from January 2014 to December 2017 for sensor Flux1
Eddy covariance (EC) CO2 fluxes from flux sensor set "Flux1" from January 2014 to December 2017 collected over a Spartina alterniflora marsh located on the western side of Sapelo Island bounded by the Duplin River and Barn Creek. EC fluxes were processed in EddyPro 7. Additional biophysical variables included are air temperature, relative humidity, vapor pressure deficit, and water table height from a nearby tidal creek and the marsh platform.
Harmonic Baseline Experiments for Landsat-Based Forest Condition Monitoring in Southern New England 2017
This dataset was developed as part of a study of harmonic baseline model parameterization for forest condition monitoring using Landsat time series. We implemented a previously published harmonic modeling approach for forest condition monitoring in Google Earth Engine and systematically assessed the relative ability of condition change products generated using various model parameterizations for predicting pest abundances and defoliation during the 2016-2018 Lymantria dispar outbreak in southern New England. We ran a series of 32 experiments that considered a variety of parameter choices for establishing multi-year “baseline” models representing relatively stable forest conditions for each Landsat pixel in our study area. We tested a full set of factors including (a) spectral vegetation index used for model fitting, (b) baseline-modeling period, (c) frequencies of harmonic regression terms, and (d) differences in Landsat time series input imagery. We generated average condition score estimates for each of these 32 baseline parameterizations for a May 1 to September 30, 2017 monitoring period, then used Generalized Linear Mixed Models to test the relationships between ground-based observations of defoliation and defoliator abundance (larva and egg masses). This archived dataset includes the full set of experimental raster results, as well as a “reanalysis” product from a previous implementation of our condition monitoring workflow. More information on model parameterization rankings can be found in the associated publication (Pasquarella et al. 2021).
Pelagic, epilimnetic production estimates in Sparkling, Trout (Wisconsin), Acton (Ohio), and Castle (California) Lakes (USA) calculated using 14C and free-water O2 metabolism methods, 2007 - 2017
Concurrent daily estimates of pelagic, eplilimnetic production (mmol C m3 d) generated from 14C incubations and diel changes in high frequency dissolved oxygen data (free-water). Original data derived from the North Temperate Lakes Long Term Ecological Research program (Sparkling [2007-2013], Trout [2007-2012] Lakes), Castle Lake Research Station (Castle Lake [2014-2017]), and Center for Aquatic and Watershed Sciences (Acton Lake [2010-2014]). 14C production estimates were generated as part of each research programs core data collection. Free-water production estimates generated using high frequency sensor data provided by research programs and Phillips (2020) time-varying, Bayesian metabolism model.
Juvenile Salmonid Emigration Monitoring in the Stanislaus River at Caswell Memorial State Park, California, 2017-2025
Overview Operation of rotary screw traps on the lower Stanislaus River at Caswell Memorial State Park is part of the U.S Fish and Wildlife Service’s Anadromous Fish Restoration Program and Comprehensive Assessment and Monitoring Program under the National Marine Fisheries Service Reasonable and Prudent Alternatives actions and Central Valley Project Improvement Act. The primary objectives of the study are to collect data that can be used to estimate the passage of juvenile fall-run Chinook Salmon Oncorhynchus tshawytscha and to quantify the raw catch of steelhead Oncorhynchus mykiss. Secondary objectives of the trapping operations focus on collecting biological data on juvenile salmonids and gathering environmental data that will be used to develop models that correlate environmental parameters with salmonid size, temporal presence, abundance, and production. The data package contains seven datasets including: raw catch, trap operation, environmental, and trap efficiency data. Raw Catch – Chinook Dataset This dataset covers ALL Chinook Salmon captured by the rotary screw traps. This spreadsheet includes biological data on: 1) unmarked fall- and spring-run Chinook Salmon 2) recaptured marked fall-run (BBY OR "Pigment / Dye", Photonic Dye, Fin Clip, and VIE OR "Elastomer") Chinook Salmon utilized in trap efficiency trials. Raw Catch – Steelhead Dataset This dataset covers ALL steelhead captured by the rotary screw traps. All steelhead captured are unmarked and presumed to be natural origin steelhead. Raw Catch – ByCatch Dataset This dataset provides biological data on ALL catch (EXCLUDING Chinook Salmon or steelhead) captured by the rotary screw traps. All catch in this table is of natural origin. Trap Operations Dataset This dataset provides trap operation data for each trap visit. Specifically, it includes data on the visit type, trap functioning status, start and end sampling dates and times, total revolutions and instantaneous revolution speeds, livewell intake st
Multi-locus DNA metabarcoding of western spotted skunk diet in the McKenzie River Ranger District of the Willamette National Forest from 2017-2019
There are increasing concerns about the declining population trends of small mammalian carnivores around the world. Their conservation and management is often challenging due to limited knowledge about their ecology and natural history. To address one of these deficiencies for western spotted skunks (Spilogale gracilis), we investigated their diet in the Oregon Cascades of the Pacific Northwest during 2017 –2019. We collected 130 spotted skunk scats opportunistically and with detection dog teams and identified prey items using DNA metabarcoding and mechanical sorting. Western spotted skunk diet consisted of invertebrates such as wasps, millipedes, and gastropods, vertebrates such as small mammals, amphibians, and birds, and plants such as Gaultheria, Rubus, and Vaccinium. Diet also consisted of items such as black-tailed deer that were likely scavenged. Comparison in diet by season revealed that spotted skunks consumed more insects during the dry season (June –August), particularly wasps (75% of scats in the dry season), and marginally more mammals during the wet season(September –May). We observed similar diet in areas with no record of human disturbance and areas with a history of logging at most spatial scales, but scats collected in areas with older forest within a skunk’s home range (1 km buffer) were more likely to contain insects. Western spotted skunks provide food web linkages between aquatic, terrestrial, and arboreal systems and serve functional roles of seed dispersal and scavenging. Due to their diverse diet and prey-switching, western spotted skunks may dampen the effects of irruptions of prey, such as wasps during dry springs and summers. By studying the natural history of western spotted skunks in the Pacific Northwest forests while they are still abundant, we provide key information necessary to achieve the conservation goal of keeping this common species common.
Arctic fish biomarker profiles from Beaufort Sea coastal lagoons, 2017–2022
Fish sampling occurred in three regions across the Beaufort Sea coast: Elson Lagoon in Utqiaġvik, Stefansson Sound in Prudhoe Bay, and Kaktovik and Jago lagoons in Barter Island (city of Kaktovik). Arctic fishes were collected to determine trophic niche overlap by determining stomach contents, bulk carbon and nitrogen stable isotopes (SI), compound specific stable isotopes of carbon in essential amino acids (CSIA-EAA) and their fatty acid (FA) profiles. Fishes were collected in each of the three regions during the open water season in August 2021 and 2022, with supplemental samples collected in 2017 – 2019. The target fish species included three diadromous species: Arctic Cisco (Coregonus autumnalis), Least Cisco (Coregonus sardinella), and Dolly Varden (Salvelinus malma), and three marine fish species: Polar Cod (Boreogadus saida), Saffron Cod (Eleginus gracilis), and Fourhorn Sculpin (Myoxocephalus quadricornis). Up to ten individuals per species per region were sampled, but not all species could be collected in all regions. Stomach contents were reported as the total number of individuals per prey category for the following categories: Amphipoda, Polychaeta, Harpacticoidea, Saduria entomon, Nemertea, Priapulida, Cumacea, Mysidacea, Calanoidea, Larval fish, Chironomida, Insecta, Misc. Stable isotope values of δ13C and δ15N are reported as “del_13c” and “del_15n”, respectively. Individual fatty acids are reported as the percent relative to total fatty acids for 35 fatty acids: C8:0, C10:0, C11:0, C12:0, C13:0, C14:0, C14:1n5, C15:0, C15:1, C16:0, C16:1n7, C17:0, C17:1, C18:0, C18:1n9 trans, C18:1n7, C18:2n6 trans, C18:2n6 cis, C18:3n3, C18:3n6, C20:0, C20:1n9, C20:2n6, C21:0, C20:3n6, C22:0, C20:4n6, C20:3n3, C20:5n3, C22:1n9, C22:2n6, C23:0, C24:0, C22:6n3, C24:1n9. Stable isotope values of δ13C are reported in the following essential amino acids: Valine (Val), Leucine (Leu), iLeu (isoleucine), Methionine (Met), Phenylalanine (Phe), Lysine (Lys).
Ramped Pyrolysis Oxidation (RPO) coupled radiocarbon (14C-DOC) and stable carbon (13C-DOC), high-resolution molecular composition (FT-ICR MS), and biodegradable dissolved organic carbon (BDOC) of groundwater, river water, and lagoon water in northeast Alaska, 2017
Supra-permafrost groundwater (SPGW), river water, and lagoon water were sampled near Kaktovik, AK to assess the reactivity and origin of dissolved organic matter (DOM) across interconnected hydrologic systems during late summer. Water samples were collected on August 17th 2017 from SPGW along the beach of Jago Lagoon (Jago GW), surface water from the Jago River’s main channel above tidal influence (Jago R), and from the water column of Kaktovik Lagoon at 2–3 m depth (KA LW). Measurements were made from grab samples for river and lagoon water, and from a composite sample for SPGW gathered from 10 individual shoreline locations. Data include dissolved organic carbon concentration (DOC, mg C L-1), Ramped Pyrolysis Oxidation (RPO) derived fraction compositions of 13C-DOC (δ13C ‰), 14C-DOC (in fraction modern), and method/instrumental error in the 14C and 13C results, and Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR MS) molecular composition and summarized compound classes. Biodegradable DOC (BDOC) bottle experiments were performed using all three sample types, where DOC concentration was subsequently measured at 2, 7, 14, and 28 days. FT-ICR MS composition was subsequently measured at the 28-day timepoint to track changes in molecular formulae and compound class relative abundance following biodegradation. Data from RPO serial thermal oxidation include temperature and normalized CO2 profiles for each background sample. Thermal-oxidation profiles of CO2 were transformed into non-parametric activation energy (E) distributions using an inverse model. Model output includes C mass of oxidized CO2 (µg C), Tmax (K), Emax (kJ mol-1), Emean (kJ mol-1), Estd (kJ mol-1), and p(0,E)max of user-defined sample fractions. FT-ICR MS results include a summary table of the relative abundance of compound classes (e.g., unsaturated phenolic, polyphenolic, aliphatic, condensed aromatics, peptide-like) and elemental groupings (e.g., CHO-type, CHON-type, CHOS-type, CHON
Annual monitoring of mid-marsh grazing scar at eight GCE LTER sampling sites from 2017 - 2025
Damage by chewing herbivores (grazing scars) was measured at eight sampling sites within the Georgia Coastal Ecosystems (GCE) LTER study area annually in July. Visual surveys were conducted along 8 2m by 10m transects randomly allocated within the mid-marsh zone at each site. Herbivore damage was measured by visually estimating the percent area of leaves missing (grazing scars) to haphazardly chosen leaves along the transect. This survey was conducted as part of the GCE invertebrate monitoring program, and will be performed annually to assess long-term changes in relative species abundances across the GCE study area. In 2024 only 3 sites were sampled due to time and weather constraints.
Hubbard Brook Experimental Forest: 15-minute Precipitation by Watershed, 2017 - present
From 2011 to 2017, ten electronic weighing rain gauges were progressively implemented at the Hubbard Brook Experimental Forest to measure precipitation at 15-minute intervals. 15-minute resolution watershed precipitation values for nine research watersheds are calculated as a weighted average of precipitation using Inverse Distance Weighting. 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.
White Pine Needle Decline in Walden Woods and Weston MA 2017-2018
White Pine Needle Decline (WPND) is a suite of four fungal pathogens that attack third, second and in extreme cases first year needles of eastern white pine (Pinus strobus). Premature needle shedding reduces photosynthetic activity and in turn reduces growth rates and overall health of the eastern white pine, an ecologically and economically valuable species in the Northeast United States. Our long-term forest dynamics plots in Weston and Walden Woods are ideal for monitoring these pathogens’ effects on overstory and understory pine. The unique aspect of our study sites is the dense population of understory pine. Many of our plots are typical old-field white pine stands and are densely stocked from lack of cutting. Densely stocked stands have been shown to be more affected by WPND than more open stands (McIntire, 2017).
Survey of Family Forest Owners Regarding Invasive Insects in the Connecticut River Watershed 2017
Forest insects have significant direct impacts on forest ecosystems; they are also generating new risks, uncertainties, and opportunities for forest landowners. Our research objective is to understand: (1) whether and how insect infestations are shifting land-use regimes in New England by altering human decision-making, (2) how these changes to human decisions may affect regional forest ecosystems and the provisioning of select ecosystem services, and (3) how subsequent changes to forest ecosystems, in turn, affect landowners. The dataset is a result of gathering information from a random sample of family forest owners (FFOs) in the Connecticut River Watershed; FFOs own approximately half of the private forestland in the region. We collected information on characteristics and perceptions of these FFOs as well as their intentions for their land if faced with the presence or threat of invasive forest insects. To better understand FFO intentions, contingent behavior questions populate the conjoint analysis format of the questionnaire. These are the foundational data that form our further efforts to simulate the impacts of insect dynamics and landowner behavior on regional forest ecosystems, including forest carbon stores, forest structure and composition, and timber yields. One of our overarching hypotheses is that forest land-use change in response to insects will have greater near-term ecological consequences than climate change or insects by themselves.
Impacts of Deer and Moose on Soil Carbon, Soil Respiration, and Root Biomass at Harvard Forest since 2017
Over the past decade, several deer and moose exclosures have been built at Harvard Forest to study the effect of ungulate browsing on tree regeneration, species diversity, and composition. We built on the existing infrastructure to study the impacts of deer and moose browsing on soil carbon stocks (soil C, root biomass) in regenerating forests.
Gene Expression and Tree Growth in the CTFS-ForestGEO Plot at Harvard Forest 2017-2019
Major goals in ecosystem ecology have been to scale from leaves to canopies and to determine whether individual-level, intra-species and inter-specific variation is critical for models projecting ecosystem processes now and in the future. The project is important in that it examines these issues in detail considering genotypes and levels of gene expression all the way up to canopy level CO2 flux. Ecological genomics and transcriptomics are nascent fields that have been primarily restricted to model species in natural and (mostly) controlled environments. To date, we have very few studies of non-model organisms in nature and/or studies of functional genomics through space and time. The research is producing extraordinarily rich datasets regarding the gene expression of trees across populations, through space in each population, across the growing season and across years and linking this information to growth and gas exchange. It will, therefore, provide tremendous insights into how much variation exists in nature thereby guiding sampling designs in future ecological 'omics projects. More importantly, it will provide unusually detailed phenotypic information for important non-model species that have large impacts on the CO2 flux of eastern US forests.
White Pine Girdling and Compression Experiment at Harvard Forest 2017-2019
Wood formation is a crucial process for carbon sequestration on land, yet how variations in phloem-transported carbon affect wood formation, respiration and nonstructural carbon pools remains poorly understood. To better understand the role of carbon supply on allocation to wood formation, we constrained phloem transport using girdling and compression around the stem of 40 mature white pines to monitor the effects of contrasting carbon supply (enriched above and reduced below the manipulations) on local wood formation and respiration, as well as on nonstructural carbon pools in needles, stems, and roots. This data set contains all data measured during the experiment. This includes wood anatomy, xylogenesis, stem respiration, nonstructural carbon measurements in coarse roots, stems and needles, as well as pre-dawn water potential measurements and pressure measurements from underneath the phloem compression collars. Furthermore, we provide allometric measurements for all trees. The code to process these data and reproduce our results is available in hf348-14-density-anomaly-analysis-code.zip. For more details pertaining to the methods see Rademacher et al. (2021).
Ant Resource Detection Distance at the Caxiuana National Forest in Brazil 2017-2018
Environmental change scenarios of low precipitation forecast species loss in tropical regions. These losses can affect generalist species that provide important ecosystem services, such as controlling the rate at which nutrients become available for uptake by other organisms in tropical forests. Here, we use a long-term rainwater exclusion experiment in primary Amazonian rainforest to test whether induced water stress affects the detection distance of food resources (baits) in a generalist ant guild (number of colonies, richness, and composition) that remove resources on the ground. We found that (i) overall the distance of resource removal by generalist ants did not change with drought; (ii) however, comparing ant species that occurred in drought-induced and control environments, workers walked shorter distances in the drought habitat; (iii) the number of resources detected by ant colonies in the drought-induced habitat decreased by 50%. Although generalist ants are considered resilient to habitat disturbance, the effect of reduced rainfall can negatively affect the services mediated by them. The rate of removal and consumption of resources in tropical forests may be related to abundance of generalist ants; losses in both nest density and walking distances may cause cascading effects on ecosystem processes and the services they mediate.
Lymantria dispar Defoliation and Mortality Survey at the Quabbin Watershed in Central Massachusetts 2017-2022
For most of the 20th century, the invasive Lymantria dispar was the most serious insect threat to forests and shade trees in the northeastern United States, but outbreaks have been sporadic and light since 1989, after the successful establishment of a fungal pathogen, Entomophaga maimaiga. However, in 2016 a surprising new outbreak of Lymantria dispar began in southern New England, resulting in dramatic oak (Quercus spp.) mortality across thousands of forested hectares by 2018. In 2017, during the height of the outbreak, a rapid assessment of defoliation across 486 plots in six clusters (aka ‘hotspots’) across the Quabbin Watershed Forest in central Massachusetts was conducted. These sample points can be related to satellite-based defoliation estimates, and the tree and site data analyzed for predictors of defoliation severity. In 2022, we returned to 204 of these plots to assess oak mortality, understory vegetation, and oak regeneration.
Seedling Survey of the CTFS-ForestGEO Plot at Harvard Forest since 2017
Within a species, trees can vary in size by many orders of magnitude, from tiny seedlings to multi-ton adults. This intraspecific variation in tree size has important consequences for forest structure and function, as it governs patterns of tree abundance, growth rate and energy flux. Recent theoretical models make predictions about size-energy patterns of forests but available evidence indicates deviation from predictions for the smallest and largest trees. The goal of this project is to examine seedling and canopy tree demography at Harvard Forest and explore their theoretical implications. We will link early remote sensing data from the National Ecological Observatory Network (NEON) with boots-on-the-ground measurements at Harvard Forest plots. We will also fit demographic models of the trees of this forest in transition.
ScienceDex guides
Understand access before you commit
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.