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.
3,673
datasets available to search
ShareScore release 0.9.0
Dataset results
3,673 results for “Temporal”
Dataset for Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting
<p>The dataset contains time series of surface soil moisture at three locations, namely Idaho, Indiana, and Oklahoma.</p> <p>For each location, the folder contains multiple gif images, one for each year, each containing 12 frames corresponding to monthly averages.</p> <p>More information at </p> <p>https://github.com/gtsagkatakis/ETCN</p>
Temporal FEL Pulse Shaping and Diagnostics at SwissFEL with Tilted Electron Beams
<p>Data for all results shown in my Dissertation.<br>It is a large file archive with simulation and measurement data. Furthermore, almost all analysis scripts are included. The only analysis software missing is the photon spectrum spike analysis, which was written by Adrian Rutschmann.</p> <p>The archive also includes the tex files and a Makefile. From the information (starting from main.tex) one can find the analysis scripts that correspond to each plot.</p> <p>The data was also used for the conference contribution MOP51 to the FEL conference 2022 (fel2022.org).</p>
Temporal data from camera trap captures of raccoons (Procyon lotor) and coyote (Canis latrans) across urban-rural gradient Michigan 2015-2020
<p>Temporal data and trap success for raccoons (<em>Procyon lotor</em>) and coyotes (<em>Canis latrans</em>) across an urban-rural gradient in Michigan, from 2015 to 2020. These data are associated with the article "Temporal refuges of a subordinate carnivore vary across rural-urban gradient" in the journal Ecology and Evolution. </p>
Land cover maps: Land Cover Classification with Gaussian Processes using spatio-spectro-temporal features
<p>Land cover maps obtained with Gaussian Processes, Random Forest, Multilayer Perceptron and Lightweight Temporal Self-Attention models for the year 2018 with Sentinel-2 acquisitions.</p> <p>For further details see section VII-A-2 (Results-Performance results in the Southfrance area-Qualitative results) of the article "Land Cover Classification with Gaussian Processes using spatio-spectro-temporal features ". This article is available <a href="https://hal.archives-ouvertes.fr/hal-03781332">here</a>.</p>
Classification Data set : Land Cover Classification with Gaussian Processes using spatio-spectro-temporal features
<p>Classification data set (train, validation, test) from the study area based on 27 tiles on the south of the France. Data set are provided for each eco-climatic region. The size corresponds to the data set DS-A. Only one random pixel sampling is provided: seed 0. This data set was used to train Gaussian Processes, Random Forest, Multilayer Perceptron and Lightweight Temporal Self-Attention models.</p> <p>For further details see section VI-A-1 of the pre-print article "Land Cover Classification with Gaussian Processes using spatio-spectro-temporal features ". This article is available <a href="https://hal.archives-ouvertes.fr/hal-03781332">here</a>.</p> <p>The implementation of the models is available in the <a href="https://gitlab.cesbio.omp.eu/belletv/land_cover_southfrance_gp">open source repository</a>.</p>
Using web-sourced photographs to examine temporal patterns in sex-specific diet of a highly sexually dimorphic raptor
<p><span>Traditional methods to study raptor diet are usually limited temporally, e.g., prey remains at nesting sites, and are unsuitable to examine dietary changes throughout the year. Using web-sourced photography, we explore temporal patterns in prey size and key prey species between sexes of the sexually dimorphic Eurasian Sparrowhawk (</span><em>Accipiter nisus</em>) throughout the United Kingdom. We examined 666 photographs of sparrowhawk on prey and identified the prey species involved, together with sparrowhawk sex. Changes in prey size and proportions of key prey species over time (seasonally and monthly) were explored for each sex. Prey weight was substantially higher for females than males. However, on average, prey size for both sexes declined during the summer period (May-June) being the lowest in June which is the main nestling-rearing month for both sparrowhawks and their prey. Compared to summer, Rock Doves (<em>Columba livia</em>) were more important prey for female sparrowhawk in winter. Whereas, for males, Eurasian Blackbirds (<em>Turdus merula</em>) were more important in spring compared to autumn. Web-sourced photography can overcome several limitations of previous methods used to study raptor diet including the ability to quantify diet between the sexes throughout the entire year, however, may also introduce a prey-size bias towards larger prey items.</p>
Statistics of temporal variations in the auroral electrojets over Fennoscandia- Dataset
<p>This is the data that is the result of the methodology described in the associated paper and is required to produce the figures in said paper.</p>
Spatio-temporal variation in deep soil water use patterns of overstory and understory layers in subtropical plantations predict community assembly
<p><span>1. </span><span>Deep soil water utilization allows plants to cope with drought stress. However, little is known about the roles of the understory layers in driving spatio-temporal variations of deep soil water in forests and how the patterns of deep soil water use among life forms contribute to community assembly processes.</span></p> <p><span>2. </span><span>We assessed the spatio-temporal patterns and determinants of deep water utilization of tree, shrub and herb layers in subtropical coniferous plantations and investigated associations between deep water use parameters and dominance and richness of understory vegetation. </span></p> <p><span>3. </span><span>We found that the understory layer had a higher reliance on deep soil water in the dry season, a larger seasonal plasticity of deep soil water uptake, but lower spatial variability in deep soil water utilization than the tree layer. We showed that greater reliance of the tree layer on deep soil water was associated with decreased shrub layer diversity, whereas greater reliance of the shrub layer on deep water was associated with increased herb layer diversity. </span></p> <p><span>4. </span><span>Synthesis</span><span>. Our results highlight the roles of understory layers in driving the temporal dynamics of deep soil water in forests and improve our understanding of how deep soil water use patterns amongst life forms shape community assembly in forests.</span></p>
Figure 1 in Circadian activity patterns and temporal overlap among cracids (Aves: Cracidae) within a vegetation mosaic in the Pantanal of Rio Negro, Brazil
Figure 1. Study area and location of the 90 camera trap stations in the Pantanal of Rio Negro, Aquidauana, Mato Grosso do Sul, Brazil.
Figure 2 in Circadian activity patterns and temporal overlap among cracids (Aves: Cracidae) within a vegetation mosaic in the Pantanal of Rio Negro, Brazil
Figure 2. Circadian activity patterns of three cracid species in the Pantanal of Rio Negro, Aquidauana, Mato Grosso do Sul. The red line represents the mean circular vector (mμ) with CI95% of the distributions.
Temporal stability of polymorphic Arctic charr parasite communities reflect sustained divergent trophic niches
<p>Polymorphic Arctic charr Salvelinus alpinus populations frequently display distinct differences in habitat use, diet and parasite communities. Changes to the relative species densities and composition of the wider fish community have the potential to alter the habitat-niche of sympatric Arctic charr populations. This study evaluated the temporal stability of the parasite community, diet and stable isotopes (δ13C, δ15N) of three sympatric Arctic charr morphs (piscivore, benthivore and planktivore) from Loch Rannoch, Scotland, in relation to changes to the fish community. All Arctic charr morphs displayed distinct differences parasite communities, diet and stable isotope signatures over time, despite the establishment of four new trophically transmitted parasite taxa, and increased fish and zooplankton consumption by the piscivorous and planktivore morphs respectively. Native parasite prevalence also increased in all Arctic charr morphs. Overall, Loch Rannoch polymorphic Arctic charr morph populations have maintained their distinct trophic niches and parasite communities through time despite changes in the fish community. This result indicates that restocking of a native fish species has the potential to induce shifts in the parasite community and diet of Arctic charr morphs.</p>
Raster-based dataset for spatio-temporal analysis of forest fires in the Amazon rainforest from 2001 to 2020
<p>Forest fire incidents are becoming increasingly common around the world, posing a threat to the environment, economy, and social life. These wildfires are further expected to rise in their frequency and intensity, considering the global climate change and human activities. A variety of attributes must be studied in order to analyse relationships between the probable causes of fire and the characteristics of wildfire incidents, and inform decision-making. Such attributes are available or easily collectable in various regions around the world, but they are not readily available in the South American Amazon. The Amazon rainforest covers such a large area that acquiring a useful dataset necessitates extensive effort and computer intensive pre-processing. The associated study to this dataset investigates potential data sources for the Amazon, establishes a methodological baseline, and prepares a dataset of covariates thought to be contributing to the wildfire ignition process. The dataset is intended to be used for forest fire studies, specifically spatio-temporal and statistical analysis of wildfires. The study provides three sets of (i) raw data (acquired data with a global extent), (ii) pre-processed data (source data transformed to the same projection system and same file format), and (iii) working data (cropped to Amazon region extent with spatial resolution of 500 meters and monthly temporal resolution, to enable the scientific community to work with various possibilities of forest-fire analysis, and to further encourage research in study areas in the other parts of the world. </p>
Temporal dynamics of canopy properties and carbon and water fluxes in a temperate evergreen angiosperm forest
<p>Dataset and code for the Manuscript "<span>Temporal dynamics of canopy properties and carbon and water fluxes in a temperate evergreen angiosperm forest"</span></p>
Data for article: Mapping temporal variations in ecosystem services: a case study of European wood supply and demand between 2008 and 2018
<p>The data consists of the indicators for spatio-temporal analysis of wood Ecosystem Service (ES) potential, supply, and demand across Europe between 2008 and 2018. This dataset was used for the analysis of temporal trends of wood ES in the study "Mapping temporal variations in ecosystem services: a case study of European wood supply and demand between 2008 and 2018".</p> <p>The data are collected and compiled from open access statistical databases. They consist of three parts:</p> <p>1. The PDF file with a detailed description of the data and all the input sources from which it was derived.</p> <p>2. The Zip file with 3 separate Excel files containing the short description of the indicators for mapping spatio-temporal changes, namely wood ES potential, wood ES supply and wood ES demand and their values between 2008 and 2018 at three different levels: continental, national and regional. Note that for the regional level only supply and demand indicators are available.</p> <p>3. The tiff file representing the spatial resolution for visualisation and analysis of the data.</p> <p> </p> <p> </p> <p>Resolution:</p> <p>Data are available for 3 spatial levels, in the temporal dimension between 2008 and 2018 (annually). All 3 indicators are available at continental (European) and national scales. The study area covers 24 countries of the European Union (EU) and Switzerland. Supply and demand are also available at regional level. At the regional scale, we assessed supply and demand using the nomenclature of territorial units for statistics (NUTS 3; n = 1061) and local administrative units (LAU; n = 957) from the year 2016 (<a href="https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units.">Eurostat, 2016</a>). The visualisation of the resolution is available in the tiff file attached to the data.</p> <p>The data are visualised and analysed in the ETRS 1989 LAEA projection.</p> <p> </p> <p>For more information on the indicators used, data collection and processing, see the supplementary files of the published article.</p> <p> </p> <p> </p> <p><strong>DEFINITIONS of ES mapping indicators used in the study: </strong></p> <p><em>ES potential</em> - the hypothetical maximum yield of services potentially available for supply.</p> <p><em>ES supply</em> – the amount of the mobilized service within the ecosystem capable to provide a service at a given location in a certain time (frequently referred in literature as ES flow).</p> <p><em>ES demand </em>- the need for the ecosystem-based service by the end users. In this study demand is analysed from the perspective of service end-user.</p>
Data from: Associations between developmental stability, canalization and phenotypic plasticity in plants with temporally heterogeneous environmental experience
<p>We subjected eight plant species to a first round of alternating inundation and drought vs. constantly moderate water treatments and a second round of water conditions. Fluctuating asymmetry (FA), intra- and inter-individual variations (CV<sub>intra</sub> and CV<sub>inter</sub>), and plasticity in traits were measured and correlations between variables were calculated for each species. Early temporally heterogeneous experience decreased the leaf size of half of the species, but had complex effects on leaf fluctuating asymmetry (FA) and inter-individual variation (CV<sub>inter</sub>) in traits immediately or in late conditions, with little effects on intra-individual variation (CV<sub>intra</sub>). There were several positive correlations between FA and CV<sub>inter</sub>, while there were correlations between CV<sub>inter</sub> and plasticity in early treatments, but negative ones in late treatments.</p>
Data and code from "Temporal allele frequency changes in large-effect loci reveal potential fishing impacts on salmon life-history diversity" (Miettinen et al. 2024)
<p>This archive contains code and data files to perform analyses detailed in Miettinen et al. (2024, Evolutionary Applications, https://doi.org/10.1111/eva.13690).</p>
Synthetic temporal dataset for temporal trend analysis and retrieval
<p>This repository contains a synthetic, temporal data set that was generated by the authors by sampling values from the Gaussian distribution. The dataset contains eight nontemporal dimensions, a temporal dimension, and a numerical measure attribute. The data set was generated according to the scheme and procedure detailed in this source paper: Kaufmann, M., Fischer, P.M., May, N., Tonder, A., Kossmann, D. (2014). TPC-BiH: A Benchmark for Bitemporal Databases. In: Performance Characterization and Benchmarking. TPCTC 2013. Lecture Notes in Computer Science, vol 8391. Springer, Cham. https://doi.org/10.1007/978-3-319-04936-6_2. The data set can be used for analyzing and locating temporal trends of interest, where a temporal trend is generated by selecting the desired values of the nontemporal dimensions, and then selecting the corresponding values of the temporal dimension and the numerical measure attribute. Locating temporal trends of interest, e.g., unusual trends, is a common task in many applications and domains. It can also be of interest to understand which nontemporal dimensions are associated with the temporal trends of interest. To this end, the data set can be used for analyzing and locating temporal trends in the data cube induced by the data set.</p>
A temporally consistent spatial gradient in methane ebullition from a eutrophic lake
<p>CH4 ebullition rates from lake Alstasjö (<a href="../api/records/11205773/draft/files/CH4Ebullition.xlsx/content" target="_blank" rel="noopener noreferrer">CH4Ebullition.xlsx</a>)</p> <p>CH4 ebullition rates from lake Alstasjö related to sediment temperature (<a href="../api/records/11205773/draft/files/CH4_Ebullition_Site_SedT.csv/content" target="_blank" rel="noopener noreferrer">CH4_Ebullition_Site_SedT.csv</a>)</p> <p>CH4 and gas ebullition rates and sedment characteristics (<a href="../api/records/11205773/draft/files/CH4_GS_update5.csv/content" target="_blank" rel="noopener noreferrer">CH4_GS_update5.csv</a>)</p> <p>Supplementary information <a href="../api/records/11205773/draft/files/SupportingInfo.pdf/content" target="_blank" rel="noopener noreferrer">SupportingInfo.pdf</a> </p> <p>Oxygen levels at lake Alstasjö between 2020-2021 (<a href="../api/records/11205773/draft/files/O2_Alsta_DailyMean.csv/content" target="_blank" rel="noopener noreferrer">O2_Alsta_DailyMean.csv</a>)</p> <p>Sediment dating from sediment cores collected at Alstasjö near bubble traps (<a href="../api/records/11205773/draft/files/CH4_SedimentDating.csv/content" target="_blank" rel="noopener noreferrer">CH4_SedimentDating.csv</a> and </p> <p><a href="../api/records/11205773/draft/files/CH4_SedimentDating_Cs.csv/content" target="_blank" rel="noopener noreferrer">CH4_SedimentDating_Cs.csv</a>)</p> <p>Results of lake Alstasjö thermal dynamics using lake analyzer (<a href="../api/records/11205773/draft/files/results_rLakeAnalyzer_Alsta.csv/content" target="_blank" rel="noopener noreferrer">results_rLakeAnalyzer_Alsta.csv</a>)</p> <p>Water level and discharge from Alstasjö (<a href="../api/records/11205773/draft/files/WaterLevelvsDischarge.xlsx/content" target="_blank" rel="noopener noreferrer">WaterLevelvsDischarge.xlsx</a>)</p>
Temporal patterns of gut microbiota in lemurs (Eulemur rubriventer) living in intact and disturbed habitats.
<p>This data set includes the R scripts (combined into one R markdown document) and input files needed to create the main text figures and major analyses for the paper "Grieneisen L, Hays A, Cook E, Blekhman R, and Tecot S. 2024. Temporal patterns of gut microbiota in lemurs (<em>Eulemur rubriventer</em>) living in intact and disturbed habitats. American Journal of Primatology." </p>
Temporal morphodynamic evolution of the Glacier d'Otemma proglacial forefield for melt seasons 2020 and 2021: data collection and post-processing
<p><span>The data included in this dataset concern the continuous geomorphic (orthomosaics, DEMs, inundation maps) and sedimentological (grain-size maps) evolution of the Glacier d’Otemma proglacial margin (Southern-Western Swiss Alps) located at an altitude of ca. 2450 m a.s.l. during summer 2020 and 2021. </span></p> <p><span>Data details and formats are available in the pdf document. Further information on data aquisition and post-processing techniques are available in Mancini et al. (2024).</span></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.