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”
Fig. 2 in Observations On The Embryonic Development Of Trichuris Sylvilagi (Nematoda, Trichuridae) Under Laboratory Conditions
Fig. 2. Morphological indicators of death of Trichuris sylvilagi eggs during cultivation.
Fig. 2 in Observation Of Eurasian Otter'S Diel Activity Using Camera Trapping In Central-Eastern Romania
Fig. 2. General diel activity of otters in the study area.
Fig. 1 in Observation Of Eurasian Otter'S Diel Activity Using Camera Trapping In Central-Eastern Romania
Fig. 1. The study area.
Fig. 4 in Observation Of Eurasian Otter'S Diel Activity Using Camera Trapping In Central-Eastern Romania
Fig. 4. Otter recordings, correlated with local time and day-night graph.
observed dataset and FVCOM-ERSEM modeling result of environmental factors and Chl-a concentration in CRE
<p>This data set is mainly used in the article "Formation and Breakdown of an Offshore Summer Cold-Water Zone and Its Ecological Effect on Phytoplankton". "2013-2018 data" was the dataset of obversed data in the Changjiang River Esturary (CRE) during the summer of 2013-2018. And the "cje1v_avg_2015.zip" was the result of three-dimensional physical-biogeochemical coupled model(FVCOM-ERSEM).</p>
Ocean surface wind estimation from waves based on small GPS buoy observations in a bay and the open ocean
<p>This is dataset of ocean surface wave and wind used in the paper "Ocean surface wind estimation from waves based on small GPS buoy observations in a bay and the open ocean" by Shimura et al. (2022, JGR-Oceans, <a href="https://doi.org/10.1029/2022JC018786">https://doi.org/10.1029/2022JC018786</a> ).</p> <p>"data_bayObservation.nc" contains the observed wind, estimated wind, and observed wave spectral data during the bay observations.</p> <p>"data_openOceanObservation.nc" contains the reanalysis wind, estimated wind, and observed wave spectral data during the open ocean observations.</p> <p> </p>
On the application of an observations-based machine learning parameterization of surface layer fluxes within an atmospheric large-eddy simulation model: Trained Models
<p>Trained machine learning models and scaling values used in the paper "On the application of an observations-based machine learning parameterization of surface layer fluxes within an atmospheric large-eddy simulation model."</p>
Case study data of the paper: A methodological guide to observe local-scale geodiversity for biodiversity research and management
<p><span>Current global environmental change calls for comprehensive and complementing approaches for biodiversity conservation. According to recent research, consideration of the diversity of Earth's abiotic features (i.e., geodiversity) could provide new insights and applications into the investigation and management of biodiversity. However, methods to map and quantify geodiversity at local scale have not been developed although this scale is important for conservation planning. </span><span>Here, we introduce a field methodology for observing plot-scale geodiversity, pilot the method in an Arctic-alpine tundra environment, provide empirical evidence on the plot-scale biodiversity-geodiversity relationship and give guidance for practitioners on the implementation of the method</span><span>.</span></p> <p><span>The field method is based on observation of geofeatures, i.e., elements of geology, geomorphology, and hydrology, from a given area surrounding a location of species observations. As a result, the method provides novel information on the variation of abiotic nature for biodiversity research and management. The method was piloted in northern Norway and Finland by observing geofeatures from 76 sites at three scales (5, 10 and 25 m radii). To explore the relationship between measures of biodiversity and geodiversity, the occurrence of vascular plant species was recorded from 2 m x 2 m plots at the same sites.</span></p> <p><span>According to the results, vascular plant species richness was positively correlated with the richness of geofeatures (R<sub>s</sub> = 0.18–0.59). The connection was strongest in habitats characterized by deciduous shrubs. The method has a high potential for observing geofeatures without extensive geological or geomorphological training or field survey experience and </span><span>could be applied by conservation practitioners</span><span>.</span></p> <p><span>Consideration of geodiversity in understanding, analysing and conserving biodiversity could facilitate environmental management and ensure the long-term sustainability of ecosystem functions. With the developed method, it is possible to cost-efficiently observe the elements of geodiversity that are useful in ecology and biodiversity conservation. Our approach can be adapted in different ecosystems and biodiversity investigations. The method can be adjusted depending on the abiotic conditions, expertise of the observer(s), and the equipment available.</span></p>
Geodetic observations for the 2016 Mw5.9 and 2022 Mw6.7 Menyuan earthquakes
<p>Geodetic observations for the 2016 Mw5.9 and 2022 Mw6.7 Menyuan earthquakes, including the InSAR observations from interferograms and pixel offsets from SAR images</p>
An in situ observation dataset of soil hydraulic properties and soil moisture in a high and cold mountainous area on the northeastern Qinghai-Tibet Plateau
<p>Based on soil profile data at depths of 5 cm and 25 cm from 238 sampling sites, and on soil data from 32 soil moisture monitoring stations at depths of 5 cm, 15 cm, 25 cm, 40 cm, and 60 cm, we have compiled a soil hydraulic properties and soil moisture dataset for a high and cold mountainous area, Northeastern Qinghai-Tibet Plateau. Specifically, the soil hydraulic properties include clay, silt, sand, soil organic carbon, soil saturated hydraulic conductivity, soil water retention curve parameters (Van Genuchten model) and soil dry bulk density.</p>
COVID-19 lockdown measures impacted citizen science hedgehog observation numbers in Bavaria, Germany
<p>The COVID-19 pandemic has led to temporary changes in human-animal interactions due to changes in human activities. Here we report on a surge in hedgehog observations during the first COVID-19 lockdown in Germany in 2020, on the citizen science web portal 'Igel in Bayern' (Hedgehogs in Bavaria) in Germany. This increase in comparison to previous years could be attributed to an increase in the number of people reporting hedgehog observations, rather than an increase in the number of hedgehog observations done by each observer. Additionally, in contrast to other studies on the effects of a COVID-19 lockdown on observations recorded by Citizen Science projects, the share of observations made in more urbanized areas during the lockdown time was not higher than the change observed in less urbanized areas. This is possibly a result of the differences in COVID-19 measures between Germany and other countries where preceding studies were carried out, in particular the lack of measures limiting outdoor activities for citizens.</p>
Kidney transplantation waiting times and risk of cardiovascular events and mortality: a retrospective observational cohort study in Taiwan
<p>Objectives: Patients with end-stage renal disease (ESRD) are at a high risk of cardiovascular events (CVEs), and kidney transplantation (KT) has been reported to improve risk of CVEs and survival. As the association of KT timing on long-term survival and clinical outcomes remains unclear, we investigated the association of different KT waiting times on clinical outcomes.</p> <p>Design: Retrospective observational cohort study.</p> <p>Setting: We conducted an observational cohort study using data from the National Health Insurance Research Database in Taiwan. Adult patients who initiated kidney transplantation therapy from 1997 to 2013 were included.</p> <p>Participants: A total of 3562 adult patients who initiated uncomplicated KT therapy were included and categorized into four groups according to KT waiting times after ESRD: Group 1 (<1 year), Group 2 (1–3 years), Group 3 (3–6 years), and Group 4 (>6 years).</p> <p>Primary outcome measure: The main outcome was a composite of all-cause death, nonfatal myocardial infarction, or nonfatal stroke, based on the primary diagnosis in medical records during hospitalization.</p> <p>Results: Compared with Group 1, the adjusted risk of primary outcome events (all-cause death, nonfatal myocardial infarction, or nonfatal stroke) increased by 1.67 times in Group 2 (95% CI: 1.40–2.00; P <0.001), 2.17 times in Group 3 (95% CI: 1.73–2.71; P <0.001), and 3.10 times in Group 4 (95% CI: 2.21–4.35; P <0.001). The rates of primary outcome events were 6.7%, 13.4%, and 14.0% within five years, increasing to 19.5%, 26.3%, and 30.8% within 10 years in Groups 1, 2, and 3, respectively.</p> <p>Conclusions: Our results demonstrate that early KT is associated with superior long-term cardiovascular outcomes compared to late KT in selected ESRD patients receiving uncomplicated KT, suggesting that an early KT could be a better treatment option for ESRD patients who are eligible for transplantation.</p>
Data for "Direct Observation of Ultrafast Exciton Localization in an Organic Semiconductor with Soft X-ray Transient Absorption Spectroscopy"
<p>Underlying data for figures 1-3 and supplementary figures S1-S7 for the paper entitled 'Direct Observation of Ultrafast Exciton Localization in an Organic Semiconductor with Soft X-ray Transient Absorption Spectroscopy'.</p>
Observational data from dietary intervention experiments in China
<p>These observational data were colleted and compiled by a research group working on "Effects of environmental and nutritional labels on the dietary choices of consumers: Evidence from China".</p>
Data for "Observation of a continuous time crystal"
<p>This upload includes data shown in the main text and the supplementary material of the paper "Observation of a continuous time crystal"</p>
SUPORTING MATERIAL OF PAPER "Observing temperature reliably using passively ventilated radiation shields and a regression-based method to improve accuracy" under revision to the journal "Bulletin of atmos. science and technology"
<p>SUPORTING MATERIAL OF PAPER "<strong>Observing temperature reliably using passively ventilated radiation shields and a regression-based method to improve</strong> <strong>accuracy" under revision to the journal "Bulletin of atmos. science and technology"</strong></p> <p><strong>Contains data from 01 June to 03 Sep 2020, Graph 1-7 of radiation error versus factor X for shields 1 to 07</strong></p>
Martian Frost in HiRISE Observations of Northern Mid-Latitude Craters
<p>This dataset contains a labeled set of High Resolution Imaging Science Experiment (HiRISE) image tiles that either do or do not contain visible indications of frost presence. The dataset was created using Labelbox to draw polygonal annotations over subframes extracted from HiRISE observations. Then, each subframe was broken into 299x299 pixel tiles at 0.5 m/pixel resolution, and a majority vote across annotations is used to determine whether each tile is given a "frost," "background," or "ambiguous" label. Ambiguous labels are assigned if there is not a majority agreement about the label of the tile given the polygons. All tiles from "background" subframes (taken during summer months when no frost is present) are assigned a "background" label. Corresponding to each tile is a JSON label file containing metadata from overlapping annotations. There is also a TensorFlow TFRecord object saved for each subframe that contains the set of all tiles extracted from that subrame.</p>
Processed ground observation and WRF-CAMQ data for Greater Bay Area, 2015-2021
<p>The pre-processed training and testing dataset for the paper <em>Development of an LSTM-Broadcasting deep-learning framework for regional air pollution forecast improvement. </em>The format of data is compatible with <a href="https://github.com/jvhs0706/regional-forecast-new">the official implementation</a>.</p>
Long-term observation of the end-of- treatment sludge quality from a Parisian WWTP treating wastewater from 6.5 M inhabitants
<p>Wastewater contains a wide range of biological and chemical markers related to human activity. The collection and analysis of these markers in the effluents (wastewater and sludge) allow to qualify the public health of the population and to evaluate the impact of the chemicals used in daily life on the environment.</p> <p> </p> <p>In line with these studies, the Innovation Department of SIAAP and its scientific partners (ISA and LEESU) has created an Observatory of the city with the objectives of:</p> <p>• Monitoring the long-term dynamics of known and/or potential pollutants according to French regulations.</p> <p>• Contributing to studies aimed at a better understanding of anthropogenic activities.</p> <p>• Structuring and centralizing data (wastewater and end-of-treatment sludge), ensuring their storage for 10 years.</p> <p>• Providing technical and scientific knowledge by publishing every two years the data generated by the Observatory of the city via the open platform Zenodo.</p> <p>Regarding the end-of-treatment sludge, the Seine Aval (SAV) plant has been chosen as a strategic location, since the catchment area corresponds to the Parisian west catchment (6.5 million inhabitants). Data on the sludge micropollution (in metals, polycyclic aromatic hydrocarbons – PAHs and polychlorinated biphenyls – PCBs) are available since 1980 and are provided in the present datasets.</p> <p> </p> <p> </p> <p> </p>
EWINA_1st_RECORDS: Year of the first record of observation of each native and exotic earthworm species present in North America
<p>Year of the first record of each native and exotic earthworm species (Oligochaeta) present in North America. Stops in 2021.</p> <p>More details here: <a href="https://github.com/JeromeMathieuEcology/GlobalWorming">https://github.com/JeromeMathieuEcology/GlobalWorming</a>.</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.