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22,710 results for “Plant”
Data, code and software to reproduce the article entitled "Modeling soil-plant functioning of intercrops using comprehensive and generic formalisms implemented in the STICS model"
<p>This is the data, code and software to reproduce the article entitled " Modeling soil-plant functioning of intercrops using comprehensive and generic formalisms implemented in the STICS model". Here is a summary of the paper:</p> <p>The growing demand for sustainable agriculture is raising interest in intercropping for its multiple potential benefits to avoid or limit the use of chemical inputs or increase the production per surface unit. Predicting the existence and magnitude of those benefits remains a challenge given the numerous interactions between interspecific plant-plant relationships, their environment and the agricultural practices. Soil-crop models are critical in understanding these interactions in dynamics during the whole growing season, but few models are capable of accurately simulating intercropping systems.</p> <p>In this study, we propose a set of simple and generic formalisms for simulating key interactions in intercropping systems that can be readily included into existing dynamic crop models. This requires simulating important processes such as development, light interception, plant growth, N and water balance, and yield formation in response to management practices, soil conditions, and climate. These formalisms were integrated into the STICS soil-crop model and evaluated using observed data of intercropping systems of cereal and legumes mixtures, including Faba bean-Wheat, Pea-Barley, Sunflower-Soybean, and Wheat-Pea mixtures. We demonstrate that the proposed formalisms provide a comprehensive simulation of soil-plant interactions in various types of bispecific intercrops. The model was found consistent and generic under a range of spring and winter intercrops (nRMSE = 25% for maximum leaf area index, 23% for shoot biomass at harvest, and 18% for yield).</p> <p>This is the first time a complete set of formalisms has been developed and published for simulating intercropping systems and integrated into a soil-crop model. With its emphasis on being generic, sufficiently accurate, simple, and easy to parameterize, STICS is well-suited to help researchers designing <em>in silico</em> the agroecological transition by virtually pre-screening sustainable, manageable intercrop systems adapted to local conditions.</p> <p> </p> <p> </p> <p> </p>
Data from: Complex climate-mediated effects of urbanization on plant reproductive phenology and frost risk
<p>This dataset comprises crowdsourced data using digitized herbarium specimen images from two comprehensively digitized regional floras; the Consortium of Northeastern Herbaria (CNH; <a href="http://portal.neherbaria.org/portal/">http://portal.neherbaria.org/portal/</a>) and Southeast Regional Network of Expertise and Collections (SERNEC; <a href="http://sernecportal.org/portal/index.php">http://sernecportal.org/portal/index.php</a>) for 200 plant species in the eastern United States, and four reproductive phenophases (i.e., flowering, peak flowering, fruiting, and peak fruiting) extracted from the herbarium specimens with associated climate data from PRISM and human population density from US Census Bureau.</p>
New woody plant functional types and parameters for the SAVANNA ecosystem model
<p>New woody plant functional types (PFTs) are defined and parameterised for use in the SAVANNA ecosystem model (Coughenour, 1992, 1993). Supplementary material used in creating the PFTs and parameters are included. Details of the methods are available from the authors on request. The new woody PFTS are defined in terms of growth form, leaf size and defences in relation to large mammal herbivores.</p> <p>1. shrub types are <4 m (Zizka et al., 2014),</p> <p>2. fine-leaf types have bipinnate leaves with leptophyllous- or nanophyllous-sized leaflets (<225 mm2) according to Raunkaier’s leaf size classes (Fuller and Bakke, 1918) given that leaflets of compound leaves are separate morphological units analogous to simple leaves (Milla, 2012; Mo et al., 2022),</p> <p>3. high chemical defence investment (CDI) types have either nitrogen:acid detergent fibre (N:ADF) <0.10 (Wallis et al., 2012) or condensed tannin (CT) >5% (Cooper and Owen-Smith, 1985) when expressed in sorghum tannin or leucocyanidin equivalents as determined by the acid-butanol assay,</p> <p>4. all types, except fine_highcdi and fine_lowcdi, have the square-root of Charles-Dominique et al.'s (2017) "investment in structural defence" (ISD) < 13.</p>
Assessment of current and future invasive plants in protected dune habitats of the Atlantic coastal region for the LIFE DUNIAS project (LIFE20 NAT/BE/001442)
<p>This .csv file contains the raw data from the risk screening supplementing the LIFE DUNIAS horizon scan for (invasive) alien species in protected habitats of Atlantic coastal dune ecosystems (<a href="https://doi.org/10.21436/inbor.86703335">Adriaens et al. 2022</a>). We gladly refer to the annexes and methods section in this report for more explanation about the fields and their contained values.</p> <p>The file contains the following fields:</p> <p><em>TaxonName</em>: original taxonomic name of the considered alien species</p> <p><em>WorkName</em>: taxonomic name of the considered alien species after lumping of subspecies, closely related species of a complex, functionally similar species of the same genus (see chapter 3.1)</p> <p><em>hab_xxxx</em> (1110, 1130, 1140, 1210, 1230, 1310, 1320, 1330, 2110, 2120, 2130, 2140, 21A0, 2150, 2190, 2160, 2170, 2180): susceptibility of habitat for the alien species (4-digit code refering to the Annex I habitat under the Habitats Directive) </p> <p><em>occ_XX</em> (BE, FR, IE, NL, ES, UK, DK, DE, PT, ALL): occupancy of the alien species in different countries of the Atlantic European region (as the number of 10km<sup>2</sup> squares per country). Country codes: BE = Belgium, FR = France, IE = Ireland, NL = Netherlands, ES = Spain, UK = United Kingdom, DK = Denmark, DE = Germany, PT = Portugal, ALL = total for all countries.</p> <p><em>scor_XXX_xxxx</em>: score of the assessment per criterium (INT = introduction, EST = establishment, SPR = spread, IMP = ecological impact, ALL = overall score) and per habitat group (salt = salties, sand = sandies, shru = shrubbies) conf_<em>XXX_xxxx</em>: confidence on the scores of the assessment per criterium (INT = introduction, EST = establishment, SPR = spread, IMP = ecological impact, ALL = overall score) and per habitat group (salt = salties, sand = sandies, shru = shrubbies)</p> <p><em>scor_ALL_MAX</em>: maximum ecological impact score of the alien taxon across all habitats</p>
Flash Poll June 2022 - Plant Health
<p>This survey by EFSA provides insights in terms of:</p> <p>• Europeans’ perception and knowledge of plant health, perceived benefits of healthy plants and perceived problems of risks with plant health; perceived concerns regarding the effects of plant pests and diseases on different areas;</p> <p>• Europeans’ awareness; acceptance; concerns re non-compliance; and knowledge of phytosanitary requirements for passengers carrying plants;</p> <p>• Europeans’ interest in plant health, concern about environmental matters, among others.</p> <p>The survey was implemented by the Teleperformance in 24 member states (i.e. all EU27 countries except Cyprus, Luxembourg, and Malta) between 20th and 24th of June 2022. A total of 8,600 respondents from different social and demographic groups completed the survey online in their mother tongue, with 300 to 500 respondents per country. These sample sizes provide robust results and ensure that responses are representative in each of the countries to be surveyed.</p> <p> </p> <p>The sample was nationally representative with respect to age and gender. Other demographic information collected included education, among others.</p>
Phylogenetic analyses of hub genes accompanying the study "Environmental gradients reveal stress hubs predating plant terrestrialization"
<p>135 ML phylogenies of hub genes identified in the study "Environmental gradients reveal stress hubs predating plant terrestrialization"</p>
Ammonia emissions from a wastwater treatment plant
<p>These data contain ammonia concentration measurements using line-integrated miniDOAS instruments and emission calculations using an inverse dispersion method applying the bLS model at a wastewater treatment plant during several weeks in September and October 2019 in Switzerland. The data are described in a manuscript titled "Ammonia emissions from a dairy housing and wastewater treatment plant quantified with an inverse dispersion method accounting for deposition loss" submitted to the Journal of Air & Waste Management in 2023.</p> <p>These measurements were funded by the Swiss Federal Office for the Environment (Contract 06.0091.PZ / R281-0748).</p>
Data from: Inter-laboratory comparison of plant volatile analyses in the light of intra-specific chemodiversity
<p>Data for: Inter-laboratory comparison of plant volatile analyses in the light of intra-specific chemodiversity</p>
DCA and GNMDS output for 4640 subplots and 95 vascular plant species in four alpine grasslands
<p>Ordination output from detrended correspondence analysis (DCA) and global non-metric multidimensional scaling (GNMDS).</p> <p>Analyses were performed in R with the <em>vegan</em> package (Oksanen 2022) for the entire data set of 4630 subplots and 95 species' occurrences ('global', indicated by global or missing site name in file names), and for each of four sites: Skjellingahaugen (skj), Gudmedalen (gud), Låvisdalen (lav), and Ulvehaugen (ulv). Access .Rds files with readRDS in R/RStudio.</p> <p>For GNMDS files, k indicates the chosen number of dimensions. See GitHub repository for scripts to produce and perform further analysis with the files in this archive.</p> <p>Analyses performed by EL with scripts based on originals by RH.</p>
Unraveling the secrets of plant roots: Simplified method for large scale root exudate sampling and analysis in Arabidopsis thaliana
<p>Plants exude a plethora of compounds, both above- and below ground, to communicate with their environment. Although much is known about this communication above ground, we are only beginning to fathom the identity, level of variation, and role of below-ground chemical signals in a plant’s life. There have been many challenges associated with establishing a standardized methodology for studying root-exuded compounds, thus their role in plant-environment communication is still not well described.</p> <p>Here, we develop an interdisciplinary workflow to explore the natural variation in root exudate chemical composition of the model plant <em>Arabidopsis thaliana</em>. We highlight key challenges associated with sampling strategies and develop a framework for analyzing narrow and broad-scale patterns in root exudate composition of a large sample set of natural <em>A. thaliana</em> accessions.</p> <p>Our method consists of <em>in vitro</em> cultivation of individual seedlings inside a plastic mesh followed by a short hydroponic sampling period in micro quantities of ultrapure water. The mesh eases handling individual plants of varying sizes, thus making this setup advantageous for large-scale characterization of root exudates of individual plants in axenic conditions, and can be easily extended for prolonged temporal exudate collection experiments. Furthermore, a short sampling duration minimizes the experiment duration from days to mere hours, and is validated by yielding sufficient signal even with the small volume of sampling solution. An untargeted metabolic profiling analytical approach using ultra-high performance liquid chromatography coupled with mass spectrometry (UHPLC-QTOF-MS), followed by compound identification using open access software MZMine3 and SIRIUS 5, was used to capture a broad picture of the root exudate composition of <em>A. thaliana</em> accessions. This methodology can be broadly applied for investigating the role of root exudates as signals involved in plant belowground interactions. We report the first findings from the analysis here with results from Columbia genotype.</p> <p>We include here</p> <p> </p> <p>In <strong>Raw datafiles</strong>: The raw datasets obtained from MZmine 3 analysis, which contains aligned features of Columbia genotypes (Sheet1) as well as control samples (Sheet2). The dataset consists of <em>feature (row)ID, average (mass-to-charge ratios) m/z</em> and <em>retention times (RT)</em> across samples for individual features. It also includes sample-specific information including <em>feature status, name, m/z, RT, feature peak height,</em> and <em>area</em>. We also include a filtered datasheet excluding the features obtained in control as well as samples (Sheet3). Sheet 4 contains the phenotypic data on the number of leaves and rosette size of the 28 replicates at the time of sampling, along with the total peak area for each sample from MZmine data.</p> <p>In <strong>Supplementary tables</strong>: The 354 metabolites obtained after filtering out control features are listed with their <em>mass-to-charge ratios</em>, <em>retention times, and the mean, variance and coefficient of variation of the peak areas </em>(Supplementary Table 1). Supplementary Table 2 details the features identified by SIRIUS 5 with their <em>mass-to-charge ratios, retention times, chemical formula, chemical annotations,</em> and corresponding <em>probabilities scored by SIRIUS</em></p> <p>In <strong>Extended data analysis:</strong> Contains supporting data analysis for reproducibility and validity of our method for root exudate collection and analysis in <em>Arabidopsis thaliana.</em> These extended data analyses enhance the understanding of the relationship between plant phenotypic traits, peak area, and variation in compound abundance</p>
The role of the intraspecific variability of hydraulic traits for modelling the plant water use in different European forest ecosystems: scripts, model output, and parameter files
<p>This repository contains the model outputs and R scripts used to process the data to analyze the impact of the plant hydraulic parameterization of the manuscript: "The role of the intraspecific variability of hydraulic traits for modelling the plant water use in different European forest ecosystems". The following is a detailed description of the content of this repository:</p> <p>model_output.zip: This compressed file contains the results of all the individual numerical experiments per experimental site as produced by the Comunity Land Model version 5. The files are stored in NETCDF format per year. The folder is arranged with subfolders containing the individual results from each experimental site as follows:</p> <ul> <li>rc: model output with the results of the resistant configuration of experiment 1 (RC)</li> <li>vc: model output with the results of the vulnerable configuration of experiment 1 (VC)</li> <li>k_dc: model output with the results of the default configuration used for experiments 1 and 2 (DC or DC<em>k</em><sub>max</sub>)</li> <li>k_rc: model output with the results of the low plant hydraulic conductance (L<em>k</em><sub>max</sub>) for experiment 2</li> <li>k_irc: model output with the results of the intermediate low plant hydraulic conductance (IL<em>k</em><sub>max</sub>) for experiment 2</li> <li>k_vc: model output with the results of the high plant hydraulic conductance (H<em>k</em><sub>max</sub>) for experiment 2</li> <li>k_ivc: model output with the results of the intermediate high plant hydraulic conductance (IH<em>k</em><sub>max</sub>) for experiment 2</li> <li>k_iirc: model output with the results of the additional intermediate low plant hydraulic conductance (IIL<em>k</em><sub>max</sub>) for experiment 2</li> <li>ko_dc: model output with the results of the best <em>k</em><sub>max</sub> and the default configuration of the PVC used in experiment 3</li> <li>ko_rc: model output with the results of the best <em>k</em><sub>max</sub> and the resistant configuration of the PVC used in experiment 3</li> <li>ko_vc: model output with the results of the best <em>k</em><sub>max</sub> and the vulnerable configuration of the PVC used in experiment 3</li> </ul> <p>The scripts were written for use in RStudio, and each contains a detailed description of the data requirements and outputs. Each script was developed to read directly the netcdf files of the model output and the csv files containing the transpiration estimates calculated from the SAPFLUXNET per experimental site (script 1).</p>
Dataset for the genome of medicinal plant Sophora flavescens has undergone significant expansion of both transposons and genes
<p><em>Sophora flavescens</em> is a medicinal plant in the genus Sophora of the Fabaceae family. The root of <em>S. flavescens</em> is known in China as Kushen and has a long history of wide use in multiple formulations of Traditional Chinese Medicine (TCM). However, there is little genomic information available for <em>S. flavescens</em>, which has greatly hindered the breeding of <em>S. flavescens</em> and characterisation of bioactive compounds. Therefore, in this study, we used third-generation Nanopore long-read sequencing technology combined with Hi-C scaffolding technology to <em>de novo</em> assemble the <em>S. flavescens</em> genome. We obtained a chromosomal level high-quality <em>S. flavescens</em> draft genome. The draft genome size is approximately 2.08 Gb, with more than 80% annotated as Transposable Elements (TEs). We also annotated 60,485 genes and examined their expression profiles in leaf, stem and root tissues. We also characterised the genes and pathways involved in the biosynthesis of major bioactive compounds, including alkaloids, flavonoids and isoflavonoids. The assembled genome provides valuable resources for conservation, genetic research and breeding of <em>S. flavescens</em>.</p>
Study of Leaf Wilt in Soybean Plants
<p>This dataset was produced in collaboration with the Crop and Soil Science Department of North Carolina State University and the United States Department of Agriculture (USDA). It comprises of 1892 rgb images of plots of soybean fields. The images represent soybean plants having 5 different levels of wilting, each image being assigned a value between 0 and 4 by expert annotators. 0 represents leaves with least wilting while 4 represents the most wilted leaves.</p> <p>The full_data.zip file consists of all images in the dataset. The annotation file dataAnns_goodFiles.csv has all image IDs and their corresponding annotations ranging from 0-4. The last column Annotation has all labels stored from 0-4 for the corresponding image. The treatment_camera column in the csv file refers to the plot number associated with each image. This number is included in the full image id as well. The first part of the number denotes the camera ID while the second part identifies a particular plot ID. For example, 3-106 indicates camera 3, plot 106. The remaining numbers in the image ID denote the date and time when the particular image was captured. For example image 3-106_12_08_2019_06_30_40.jpg denotes camera 3, plot 106 and was taken on 12/08/2019 at 06 hours, 30 mins and 40 seconds.</p>
Dataset Changes in structure and assembly of a species-rich soil natural community with contrasting nutrient availability upon establishment of a plant-beneficial Pseudomonas in the wheat rhizosphere
<p>This dataset is related to the paper "<strong>Changes in structure and assembly of a species-rich soil natural community with contrasting nutrient availability upon establishment of a plant-beneficial <em>Pseudomonas </em>in the wheat rhizosphere</strong>" (Garrido-Sanz et al., 2023, doi: 10.1186/s40168-023-01660-5) and contains the data obtained from bacterial competition asays and plant-growth measurements.</p> <p>Sequencing data used in this study has been deposited in the NCBI Sequence Read Archive (RSA) under the BioProject accession number <a href="https://www.ncbi.nlm.nih.gov/bioproject/PRJNA948847">PRJNA948847</a>.</p> <p>The R script used to analyze the data generated in the paper is available at <a href="https://github.com/dgarrs/Pprotegens_proliferation_NatComs">GitHub </a>and <a href="https://doi.org/10.5281/zenodo.8322086">Zenodo</a>.</p>
Long-term response of wetland plant communities to management intensity, grazing abandonment, and prescribed fire
Isolated, seasonal wetlands within agricultural landscapes are important ecosystems. However, they are currently experiencing direct and indirect effects of agricultural management surrounding them. Because wetlands provide important ecosystem services, it is crucial to determine how these factors affect ecological communities. Here, we studied the long-term effects of land use intensification, cattle grazing, prescribed fires, and their interactions on wetland plant diversity, community dynamics, and functional diversity. To do this, we used vegetation and trait data from a 14-year-old experiment on 40 seasonal wetlands located within semi-natural and intensively managed pastures in Florida. These wetlands were allocated different grazing and prescribed fire treatments (grazed vs. ungrazed; burned vs. unburned). Our results showed that wetlands within intensively managed pastures have lower native plant diversity, floristic quality, evenness, higher non-native species diversity, and exhibited the most resource-acquisitive traits. Wetlands embedded in intensively managed pastures were also characterized by lower species turnover over time. We found that 14 years of cattle exclusion reduced species diversity in both pasture management intensities and had no effect on floristic quality. Fenced wetlands exhibited lower functional diversity and experienced a higher rate of community change both due to an increase in tall, clonal, and palatable grasses. The effects of prescribed fires were often dependent on grazing treatment. For instance, prescribed fires increased functional diversity in fenced wetlands but not in grazed wetlands. Our study suggests that cattle exclusion and prescribed fires are not enough to restore wetlands in intensively managed pastures and further highlights the importance of not converting semi-natural pastures to intensively managed pastures. Our study also suggests that grazing levels applied in semi-natural pastures maintained high plant dive
Data describing how four different levels of induced plant defenses change cannibalism among larval lepidopterans and alter consumption of plant tissue by larval lepidopterans.
A dataset comprised of three experiments: Experiment 1. Data describing how four different levels of induced plant defenses change cannibalism among larval lepidopterans and alter consumption of plant tissue by larval lepidopterans. The experiment was conducted at UW-Madison in Birge Hall. Experiment 2. Data describing how two levels of induced plant defenses and two levels of food provision (presence or absence of dead conspecifics) changes cannibalism, herbivory, and growth among larval lepidopterans. Experiment 3. Data describing mass loss of tomato leaves that were clipped and allowed to dry for two days. These data are to determine estimates of natural (autogenic) weight loss due to evaporation for comparison of weight loss due to herbivory and evaporation as part of feeding trials with armyworms (see other two associated datasets in this series). The experiment was conducted at the Department of Biology at Virginia Commonwealth University.
Manipulating the hydroperiod affects plant and invertebrate communities in freshwater mesocosms, La Marque TX USA, 2019-2021
We used a mesocosm experiment with six flooding depths and seven drought durations, followed by seven months of recovery, to explore how freshwater wetlands typical of the Houston, Texas area would respond to different hydrological regimes that might occur if wetlands were drained in anticipation of a heavy rain that did not materialize, leading to a temporary period of little or no standing water. The experiment was conducted in 2019-2021. How quickly mesocosms dried out was a function of initial water depth, with mesocosms initially set with greater water depths (30 cm) taking on average 38 days to dry out. Individual plant species (14 were planted; 8 were common at the end of the recovery period) were affected drought length, flooding depth, or their interaction, with results varying among species. The composition of the plant community at the end of the drought period was strongly affected by drought length, and this effect persisted through seven months of recovery, with the 80- and 160-day drought treatments diverging most strongly from shorter drought treatments. Densities of mosquito larvae, snails and tadpoles were temporally variable, and affected more during the treatment period than after seven months of recovery. Our results indicate that managed wetlands in southeast Texas would be quite resilient to dry periods of up to 40 days in duration, especially if water was not completely drained at the beginning of the drought. In addition, some wetland species would persist in managed wetlands even if they experienced droughts of up to 160 days.
FRAME (FoRests Among Managed Ecosystems) – Plant community and seed bank composition in forests, Philadelphia metropolitan area, USA, 2017-2019
Our study objectives were to conduct a Rosa multiflora (multiflora rose) removal experiment in three forest sites experiencing different invasion intensities and to restore native plant biodiversity while preventing secondary invasion. The study was conducted in and around Newark, DE, from 2017-2019, and data collection is complete. We utilized three management strategies: invasive plant removal, removal followed by native seed addition, and removal plus native seed and mulched invasive stem addition. We investigated the similarity between seed bank species composition and existing vegetation before and after removal to assess the potential for passive restoration. Two seasons after removal, we found that simply removing rose increased native species richness, Native Floristic Quality Assessment (FQAIN), and native shrub abundance in our medium invasion site, and total species richness in our low and medium invasion sites. Compared to removal alone, native seed addition, with and without mulch addition, resulted in larger native and total species richness and FQAIN increases at all sites, larger increases in native shrub abundance and exotic species richness in our medium invasion site, and larger reductions in exotic and total shrub abundance in our low and medium invasion sites. Following removal, species similarity between seed bank and vegetation improved for all three sites. Our results indicate that removal of Rosa multiflora (multiflora rose) alone increased native plant biodiversity in the medium invasion scenario, but the seed bank may not provide a large native species pool. Additional management strategies lead to improved outcomes, especially in our most invaded forest, demonstrating the need to conduct multiple plant removal treatments across forests with varying site conditions and plant invasion intensity to improve management recommendations.
Data for “Herbivory damage but not plant disease under experimental warming is dependent on weather for three subalpine grass species”, Rocky Mountain Biological Laboratory, Gothic, Colorado, 2015-2017.
Both theory and prior studies predict that climate warming should increase attack rates by herbivores and pathogens on plants. However, past work has often assumed that variation in abiotic conditions other than temperature (e.g., precipitation) do not alter warming responses of plant damage by natural enemies. Studies over short time periods span low variation in weather, and studies over long-time scales often neglect to account for fine-scale weather conditions. Here, we used a 20+ year field warming experiment to investigate if warming affects herbivory and disease are dependent on variation in ambient weather observed over three years. We studied three common grass species in a subalpine meadow in the Colorado Rocky Mountains, USA. We visually estimated herbivory and disease every two-weeks during the growing season and evaluated weather conditions during the previous two- or four-week time interval (two-week average air temperature, two- and four-week cumulative precipitation) as predictors of the probability and amount of damage. Herbivore attack was 13% more likely and amount of damage was 29% greater in warmed plots than controls across the focal species, but warming treatment had little affect on plant disease. Herbivory presence and damage increased the most with experimental warming when preceded by wetter, rather than drier, fine-scale weather, but preceding ambient temperature did not strongly interact with elevated warming to influence herbivory. Disease presence and damage increased, on average, with warmer weather and more precipitation regardless of warming. The effect of warming over reference climate on herbivore damage is dependent on and amplified by fine-scale weather variation, suggesting more boom-and-bust damage dynamics with increasing climate variability. However, the mean effect of regional climate change is likely reduced monsoon rainfall, for which we predict a reduction in insect herbivore damage. Plant disease was generally unrelated
Decommissioned Site: Mameyes (D04 MAME) Belowground Plant Biomass (Megapit) (repackaging of occurrences published by the NEON Biorepository Data Portal)
These samples are associated with NEON prototype dataset: NEON Decommissioned Site data: Root sampling, chemistry, and isotopes (Megapit) from D04 MAME site (a36e6ce2-d845-13e9-c881-c1d4e5881a53) DOI: 10.48443/j1hp-f273 NEON (National Ecological Observatory Network). NEON Decommissioned Site data: Root sampling, chemistry, and isotopes (Megapit) from D04 MAME site, v1 (10.48443/j1hp-f273). https://doi.org/10.48443/j1hp-f273. Dataset accessed from https://data.neonscience.org on July 7, 2021
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.