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.
10,016
datasets available to search
ShareScore release 0.9.0
Dataset results
10,016 results for “Observation”
Journey North - Barn Swallow observations by volunteer community scientists across Central and North America (2000-2020)
This data package contains Barn Swallow migration data consisting of 3,836 total observational reports from 2000 - 2020 across North America and Central America. These data were collected by 1,320 community scientists for Journey North, a crowdsourced participatory science program of the University of Wisconsin-Madison Arboretum. The Journey North Barn Swallow Project is an ongoing study of Barn Swallow phenology conducted at broad spatial and temporal scales. Since 2000, community scientists have tracked first arrival dates of Barn Swallows (Hirundo rustica) in the United States. 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. Researchers are encouraged to read the rich information provided by volunteers in their comments. These comments provide qualitative information about observational reports. Researchers are also encouraged to refer to submitted photographs that also provide context for observational reports. The Journey North Barn Swallow Project dataset is hosted by the University of Wisconsin-Madison Shared Web Hosting Service.
Journey North - Tulip observations by volunteer community scientists across North America (1996-2020)
This data package contains tulip phenology data consisting of 21,148 total observational reports from 1996 - 2020 across North America. These data were collected by 6,645 community scientists for Journey North, a crowdsourced participatory science program of the University of Wisconsin-Madison Arboretum. The Journey North Tulip Test Garden Project is an ongoing study of tulip phenology conducted at broad spatial and temporal scales. Since 1996, community scientists have tracked planting, emergence, and blooming of tulips (Tulipa L.) in the United States. Most observations should be of the Red Emperor Tulip, but not all observations can be validated as this species. Researchers are encouraged to read observer comments to confirm tulip species. Observers also provide estimates of the number of tulips 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 broad phenological information. Researchers are encouraged to read the rich information provided by volunteers in their comments. These comments provide qualitative information about observational reports. Researchers are also encouraged to refer to submitted photographs that also provide context for observational reports. The Journey North Tulip Test Garden Project dataset is hosted by the University of Wisconsin-Madison Shared Web Hosting Service.
Missouri reservoir water quality data from the Statewide Lake Assessment Program (SLAP), the Lakes of Missouri Volunteer Program (LMVP), and the Reservoir Observer Student Scientists (ROSS) program
This dataset of limnological water quality data continues from Jones et al., 2024, starting in 2017 until 2021. It is from 195 reservoirs, the majority of which are in the state of Missouri (MO) in the USA collected by the University of Missouri Limnology Lab. Water quality parameters analyzed in the MU Limnology Lab during this time frame include: areal pigment absorption coefficient, alkalinity, alpha (light utilization efficiency P-E parameter), ammonium (NH4), ammonium-debt, anatoxin, chlorophyll a (corrected and uncorrected for pheophytins), chloride, cylindrospermopsin, seston d13C, seston d15N, dissolved turbidity, dissolved organic carbon, Ek (light saturation P-E parameter), FVFM (maximum quantum yield of PSII for photochemistry), gross primary production, microcystin, nitrate & nitrite (NO3), nitrate-debt, particulate nitrogen, particulate phosphorus, phosphorus-debt, pheophytin, particulate carbon, particulate inorganic matter, particulate organic matter, phycocyanin (PHYCO), saxitoxin, Secchi disk depth, silica, soluble reactive phosphorus, total dissolved nitrogen (TDN), total dissolved phosphorus (TDP), total nitrogen (TN), total phosphorus (TP), total suspended solids (TSS), and urea. Most of the samples were collected during the summer months (May-September) when the reservoirs were thermally stratified, but a few were taken during the rest of the year (October-April). The majority of samples were taken at the deepest point in the reservoir directly up-reservoir of the dam. Sampling was conducted from a boat most of the time, but a few samples were taken from shorelines and drinking water treatment intake pipes. Most of the data come from the Statewide Lake Assessment Project (SLAP) and the Lakes of Missouri Volunteer Program (LMVP) funded by the Missouri Department of Natural Resources. This data represents duplicate or triplicate water samples collected from either the water surface, integrated over the depth of the epilimnion, or from discrete dep
University of Michigan Biological Station Weather Observations 1980 to Present
This data set includes daily year-round weather measurements and observations recorded at the University of Michigan Biological Station (UMBS) from 1980-present. Data primarily serves the purpose of benefitting UMBS researchers needing access to weather data as a confounding variable. Parameters include maximum and minimum temperatures, precipitation, snowfall, snowpack, and estimated cloud cover and type recorded daily at approximately 08:00. Maximum and minimum temperatures were measured at the Biological Station campus with National Weather Service liquid-in-glass thermometers housed in a Weather Service (a.k.a., Cotton Region) shelter located on State Road. Precipitation was measured with either a Belfort Rainfall Transmitter 5915 or an ETI NOAH IV Total Precipitation Gauge in the “UV Field” located immediately northwest of the Biological Station campus. Snowfall and snowpack were also measured in the UV Field on snowboards using National Weather Service according to National Weather Service snow measurement guidelines. Cloud cover was estimated in oktas and classified into one of the ten basic cloud types.
Stationary camera observations, set, and environmental data from Shark Bay Marine Park, Western Australia from July 2011 to June 2012
This dataset provides information on stationary video cameras set within the study area from 2011 to 2012, including animals viewed along with relevent environmental and camera data. These data provide insight into teleost communities that utilize various habitats within Shark Bay.
Daily climatological observations from Sapelo Island, Georgia, from June 1980 through June 2001
Daily summaries of air temperature and precipitation were collected from the National Weather Service weather station on Sapelo Island, Georgia, from June 1980 through June, 2001. The station (NWS Station 97808) is located at the University of Georgia Marine Institute (UGAMI), and has been in continuous operation since 1957. Observations are logged and transmitted to the NWS by UGAMI personnel, and archived by the NOAA National Climatic Data Center (http://www.ncdc.noaa.gov/). The monitoring station is described on the Georgia Coastal Ecosystems web site at http://gce-lter.marsci.uga.edu/lter/research/mon/ugami.htm.
Quarterly disturbance observations to three GCE LTER permanent monitoring plots (7,8,9) and three Altamaha River plant transition sites (SCSA,ZSC1,ZSC2) following hurricane Irma from October 2017 through October 2018.
To access the effect of hurricane Irma on the GCE domain, yearly monitoring of species and size distribution of plants at three GCE LTER sampling sites (7, 8, 9) and three Altamaha plant transition sites (SCSA, ZSC1, ZSC2) was expanded to quarterly sampling between October 2017 and October 2018. We established permanent vegetation monitoring plots in creekbank and midmarsh at GCE sites 1-10 in 2000. A dedicated Juncus zone was later added at sites 10 and 9. We established creekbank permanent vegetation monitoring plots in three plant transition zones along the Altamaha River in 2012. When we recorded plant sizes, we also noted any disturbance to the plots. Plots were scored as normal (no visible disturbance), disturbed by wrack (wrack present in plots and stems dead or broken), disturbed by snails (>100 Littoraria per square meter and plant biomass low), disturbed by pigs (animal trail through the plot, this mostly happened at site 8 mid-marsh), initial slump (plot at the creekbank sliding into the creek based on movement of pvc poles or formation of a crevasse), and terminal slump (plot had slid far enough down that vegetation had drowned). Plots that experienced terminal slump or could not be found for any reason were scored as lost. Lost plots were replaced with a new plot in the same general area with the plot code incremented by 10. For example if plot 3 was lost, it was replaced by 13, and then in turn by 23. October data are duplicates of data from the annual fall monitoring data sets but are included here for completeness.
Daily climatological observations from Sapelo Island, Georgia, from May 1957 through July 2001
Daily summaries of air temperature and precipitation were collected from the National Weather Service weather station on Sapelo Island, Georgia, from May 1957 through July 2001. The station (NWS Station 97808) is located at the University of Georgia Marine Institute (UGAMI), and has been in continuous operation since 1957. Observations are logged and transmitted to the NWS by UGAMI personnel, and archived by the NOAA National Climatic Data Center (http://www.ncdc.noaa.gov/). The monitoring station is described on the Georgia Coastal Ecosystems web site at http://gce-lter.marsci.uga.edu/lter/research/mon/ugami.htm.
Plant phenology observations at 15 sites at Jornada Basin LTER, 1992-ongoing
This ongoing data package, which began in 1992, contains monthly plant phenological observations by species at the 15 Net Primary Production (NPP) study sites at the Jornada Experimental Range (JER) or Chihuahuan Desert Rangeland Research Center (CDRRC) in Dona Ana County, New Mexico, USA. Sites were selected to represent the 5 major ecosystem types in the Chihuahuan Desert (upland grasslands, playa grasslands, mesquite-dominated shrublands, creosotebush-dominated shrublands, tarbush-dominated shrublands). For each ecosystem type, three sites were selected to represent the range in variability in production and plant diversity; thus the locations are not replicates. A transect at each site is monitored monthly to assess the following phenological stages for each species: dormancy, non-reproductive status, budding, flowering, and fruiting. Sampling methods in the first years of the study monitored all plant species present but have been changed to focus on specific species at each site.
CBC01 Weekly record of bird species observed on Konza Prairie
Long-term monitoring of bird presence is performed on Konza Prairie. The purpose was to determine bird species phenology of occurrence on entire Konza Prairie. Data on the presence, including documented nesting, of all bird species is recorded weekly in five-year periods e.g. 1980-1984, 1985-1989, 1990-1994.
Fern leaf traits observation at the Luquillo Experimental Forest (LEF)
Ferns are a common element of the understory of forests, yet little is known about the dynamics of leaf production. The long-term role of an individual fern in the ecosystem understory is a function of the number and size of leaves produced over time and the quality of those leaves. Selected functional plant traits (see also LUQ186 -Fern nutrients) were measured in order to supplement non-destructive measurements and detect patterns of primary productivity of ferns in the long-term studies at the Luquillo forest where ferns have been included (eg. Fern growth and demography (LUQ75), Canopy Trimming Experiment (LUQ143 and LUQ146) and the Luquillo Forest Dynamics Plot). Among the important characteristics of fern leaves in the forest understory are the area and biomass of leaves needed to calculate specific leaf area (SLA), leaf dry-matter content (LDMC) and leaf shrinkage. Therefore a large sample of whole leaves and leaf material from several species in the Luquillo Experimental Forest understory was collected, weighed and leaf area measured. The means and regression relationships among these functional traits for species, leaf type and leaf size can then be used to estimate leaf production and turnover rates in temporal studies of fern growth. 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.
Fern leaf nutrients observation at the Luquillo Experimental Forest (LEF)
Ferns are a common element of the understory of forests yet little is known about the dynamics of leaf production. The long-term role of an individual fern in the ecosystem understory is a function of the number and size of leaves produced over time and the quality of those leaves. Selected functional plant traits (see also LUQ186 -Fern nutrients) were measured in order to supplement non-destructive measurements and detect patterns of primary productivity of ferns in the long-term studies at the Luquillo forest where ferns have been included (eg. Fern growth and demography (LUQ75) Canopy Trimming Experiment (LUQ143 and LUQ146) and the Luquillo Forest Dynamics Plot). Among the important characteristics of fern leaves in the forest understory are the area and biomass of leaves needed to calculate specific leaf area (SLA) leaf dry-matter content (LDMC) and leaf shrinkage. Therefore a large sample of whole leaves and leaf material from several species in the Luquillo Experimental Forest understory was collected weighed and leaf area measured. The means and regression relationships among these functional traits for species leaf type and leaf size can then be used to estimate leaf production and turnover rates in temporal studies of fern growth. 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.
leaf litter decomposition experiment In QPA and QPB - visual shrimp observations 2019
Visual shrimp observations from pools associated with 2019 in-situ leaf litter decomposition experiment. Shrimp abundance was recorded over two-minute intervals within pools in Quebrada Prieta A and Quebrada Prieta B. 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.
Fern sporophyte growth observation at the Luquillo Experimental Forest (LEF)
Long-term (20-year) monitoring sites have been established in the Luquillo Experimental Forest. Individuals of approximately 20 species of ferns are being monitored on a regular basis to determine plant life history classes, leaf production rates, fertility characteristics and leaf damage levels. Effects of natural disturbance will be interpreted in light of these parameters. The study includes sites at El Verde, and Espiritu Santo and Bisley watersheds. A comparative study of ferns in the mangrove community at the Jobos Bay National Estuarine Research Reserve was started in January 1998 and completed in January 2001. Comparisons of similar species will also be made at temperate sites. Data file FERNGROWTH contains data, on a line-line basis, about individual leaves. Information in this file includes measurements and observations as well as leaf location and identification information. Leaves in this file was monitored three times a year from the time the plant was first included in the study until the plant died, disappeared, or was dropped from the study. The same information was collected on leaves used in defoliation experiments (FERNDEFO). Annual measurements of leaf counts and longest leaf measurements on selected species from 2001 through 2010 are included in FERNPH02. Other files in the data set includes a file of supporting information on characteristics the plants on which leaf observations were made (FERNSEQ), additional field observations about the leaves, plants and sites (FERNFLD) and details about monitoring dates (FERNDATES). 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 Serv
Plumes and Blooms: Curated oceanographic and phytoplankton pigment observations
These data come from the Plumes and Blooms project (PnB), which has conducted approximately monthly 1-day oceanographic cruises since August 1996. The data included here encompass all PnB cruises from August 1996 through December 2018. Data are two data tables: one table includes conductivity-temperature-depth profiles (CTD) and derived physical parameters, the other table includes discrete seawater samples for various biological and biogeochemical parameters. Details are available in Catlett et al., in prep. References: Catlett, D., D. A. Siegel, R. D. Simons, N. Guillocheau, F. Henderikx-Freitas, C. S. Thomas.2021. Diagnosing seasonal to multi-decadal phytoplankton group dynamics in a highly productive coastal ecosystem, Progress in Oceanography. 197. https://doi.org/10.1016/j.pocean.2021.102637.
Catalog of Coronal Mass Ejections Observed in Conjunction between Radially Aligned Spacecraft in the Inner Heliosphere
<p>This catalog lists 47 CME events observed in a longitudinal conjunction between MESSENGER, Venus Express, STEREO, and Wind/ACE. We list the onset date and time of the probable CME candidate. If the CME was observed by LASCO onboard the SOHO<br> spacecraft, we report the average CME onset time as calculated in the CDAW catalog (average between first-order-constant speed and second-order-constant acceleration onset times). Otherwise, we report the time of the first STEREO/COR image containing the<br> CME. We then list the arrival times of the shock/discontinuity, magnetic ejecta leading edge and trailing edge at spacecraft 1 and 2. Arrival times at MESSENGER are listed from Winslow et al. (2015, 2017), Venus Express from Good and Forsyth (2016), STEREO from Jian, Russell, Luhmann, and Galvin (2018), and L1 from Richardson and Cane (2010). We also list the heliocentric distances of the spacecraft at the CME onset time, the longitudinal separation between the spacecraft when the discontinuity/ejecta arrives<br> at spacecraft 1, and the maximum magnetic field strength observed in the CME (including both the sheath and the ejecta) at each spacecraft. The maximum magnetic field strength measured in the CME at MESSENGER are listed from Winslow et al. (2015, 2017), the maximum magnetic field strength measured in the ejecta at Venus Express are listed from Good and Forsyth (2016). The longitudinal separations are in Heliographic Inertial (HGI) coordinates. We also list the initial CME speed. For the speed, we select the coronagraph which observed the CME closest to a limb event. Limb views signicantly minimize projection effects as compared to halo views and provide a better estimate of CME speeds. When LASCO observed the CME as a limb event, we report the second-order CME speed at 20 Rs (solar radius) listed in the CDAW catalog. For STEREO observations, we report the maximum<br> speed as listed in the CACTus catalog. We also list the average impact speeds at spacecraft 1 from the DBM (Vrsnak et al., 2013) and either the average impact speeds (when spacecraft 2 is Venus Express) or the maximum CME speed (when spacecraft 2 is<br> STEREO/Wind/ACE) measured at spacecraft 2. The maximum CME speeds measured at STEREO are listed from Jian et al. (2018) and at L1 listed from Richardson and Cane. (2010). We list the average transit speeds as well between the Sun and spacecraft 1,<br> spacecraft 1 and spacecraft 2, and the Sun and spacecraft 2.</p>
Dynamic Albedo of Neutrons (DAN) Simulated and Observed Die-Away Data
<p>These datasets provide the data associated with the article, "Analysis of active neutron measurements from the Mars Science Laboratory Dynamic Albedo of Neutrons instrument: Intrinsic variability, outliers, and implications for future investigations" by H. R. Kerner et al. (full citation below). The Dynamic Albedo of Neutrons (DAN) is a nuclear spectroscopy investigation onboard the Mars Science Laboratory (Curiosity) rover.</p> <p>If you use this dataset, please use the following citation: Kerner, H. R., Hardgrove, C. J., Czarnecki, S., Gabriel, T. S. J., Mitrofanov, I. G., Litvak, M. L., Sanin, A. B., and Lisov, D. I. Analysis of active neutron measurements from the Mars Science Laboratory Dynamic Albedo of Neutrons instrument: Intrinsic variability, outliers, and implications for future investigations. Under review. </p>
CO Emissions inferred from Surface CO Observations over China in December 2013 and 2017
<p><strong>CO_obs.rar</strong> includes assimilation observations for 2013 and 2017, independent verification observations for 2014, 2017 and 2018. NCP, YRD, and PRD represent the North China Plain, the Yangtze River Delta, and the Pearl River Delta, respectively.</p> <p><strong>emission_36km_2012.nc</strong> and <strong>emission_36km_2016.nc</strong> are prior emissions, <strong>emission_36km_2013.nc</strong> and <strong>emission_36km_2017.nc</strong> are posterior emissions inferred with default 40% uncertainty setting. <strong>emission_36km_20.nc</strong> and <strong>emission_36km_60.nc</strong> are posterior emissions inferred with 20% and 60% uncertainty setting, respectively, which are used for sensitivity test. <strong>emission_36km_nosuper.nc</strong> is posterior emissions inferred without ‘super observation’ method. These files have dimensions of 39 VAR×123 RAW×163 COL and the third variable is CO.</p>
Estimate of the atmospherically-forced contribution to sea surface height variability based on altimetric observations
<p>This repository contains the estimate of the atmospherically-forced contribution to sea level variability described in <a href="http://doi.org/10.1016/j.pocean.2020.102314">Close et al, 2020</a>, and derived from the Ssalto/Duacs altimeter products produced and distributed by the Copernicus Marine and Environment Monitoring Service (CMEMS) (<a href="http://www.marine.copernicus.eu">http://www.marine.copernicus.eu</a>).</p> <p>The files contain successive 5-day averages of sea level anomaly, with the same global coverage and 0.25° grid as the Ssalto/Duacs altimeter products. The estimate is created using a spatial bandpass filter, with cutoff scales of ~1.5° and 10.5°. Zeros in the mask file indicate regions in which it has not been possible to evaluate the quality of the estimate.</p> <p>The cutoff scales applied to the altimetry data were determined through analysis of output from the OceaniC Chaos – ImPacts, strUcture, predicTability (Penduff et al, 2014) experiment, comprising a 50-member ensemble of ocean-sea ice model hindcasts with 0.25° horizontal resolution (<a href="http://doi.org/10.5194/gmd-10-1091-2017">Bessières et al., 2017</a>). The spatiotemporal coherence between the model-based estimates of the atmospherically-forced (ensemble mean) and total simulated sea surface height signals was analysed, and found to exhibit distinct partitioning between the atmospherically-forced and intrinsic contributions in a spatial (but not temporal) sense, thus suggesting that meaningful estimation of the two components can be achieved based on simple spatial filtering. Verification of the method using the model data indicates good accuracy, with a global mean correlation of 0.9 between the estimate based on spatial filtering and the ensemble mean sea surface height. Full details of the methodology and verification may be found in <a href="http://doi.org/10.1016/j.pocean.2020.102314">Close et al, 2020</a>.</p> <p>----</p> <p><strong>References</strong>:</p> <p>Bessières, L., Leroux, S., Brankart, J.-M., Molines, J.-M., Moine, M.-P., Bouttier, P.-A., Penduff, T., Terray, L., Barnier, B., and Sérazin, G., 2017. Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution, Geosci. Model Dev., 10, 1091–1106, <a href="https://doi.org/10.5194/gmd-10-1091-2017">doi: 10.5194/gmd-10-1091-2017</a>.</p> <p>Close, S., Penduff, T., Speich, S. and Molines J.-M., 2020. A means of estimating the intrinsic and atmospherically-forced contributions to sea surface height variability applied to altimetric observations. Progr. Oceanogr. <a href="https://doi.org/10.1016/j.pocean.2020.102314">doi: 10.1016/j.pocean.2020.102314</a></p> <p>Penduff, T., Barnier, B. , Terray, L., Bessières, L., Sérazin, G., Grégorio, S., Brankart, J., Moine, M., Molines, J., Brasseur, P., 2014. Ensembles of eddying ocean simulations for climate, CLIVAR Exchanges, Special Issue on High Resolution Ocean Climate Modelling, 19.</p>
Data relating to Clyne et al. Quality, scope and reporting standards of randomised controlled trials in Irish Health Research: an observational study
<p>Data relating to the study reported in the paper "Quality, scope and reporting standards of randomised controlled trials in Irish Health Research: an observational study".</p>
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.