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.
1,646
datasets available to search
ShareScore release 0.9.0
Dataset results
1,646 results for “plot”
SHIFT: Vegetation Plot Photos, Santa Barbara, CA, USA, 2022
This dataset contains photographs of the plots where field vegetation sampling was conducted during the 2022 NASA Surface Biology Geology (SBG) High Frequency Time series (SHIFT) campaign. Sampling occurred at the Jack and Laura Dangermond Preserve, Sedgwick Reserve, and Carpinteria Salt Marsh Reserve, which are located in Santa Barbara County, California, USA. Photographs were taken from 2022-02-23 to 2022-09-18. This project collected field data contemporaneously with weekly flights of Airborne Visible-Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) over the study areas. Related SHIFT data packages contain additional biogeochemical, reflectance, and foliar data.
Definitive classification of ovarian mature cystic teratomas origin using B allele frequency plots with SNP array analysis
GEO Series GSE85424. Homo sapiens. 38 samples. Type: Genome variation profiling by SNP array.
Soil chemistry and ITS sequences of permanent forest plots at the Station de biologie des Laurentides
<p>Data of soil chemistry, ITS sequences and plots informations.</p> <p>Target soil fungi using Illumina sequencing with ITS as marker gene.</p> <p>15 permanent plots of forests dominated by arbuscular mycorrhizal or ectomyoccrhizal trees or both.</p> <p>Located at the Station de Biologie des Laurentides, Université de Montréal.</p> <p> </p> <p>Files :</p> <p>*fastq.gz contain the sequence data for each samples</p> <p>soil.csv contains soil chemistry and plots informations.</p> <p>label_soil_sample.csv links identifiers for sequencing (i.e. sample) and soil analysis (i.e. sampleID)</p> <p> </p> <p>Scripts for bioinformatical and statistical analyses can be found here: https://doi.org/10.5281/zenodo.3631982</p>
Figure 8 plot data
<p>Figure 8 plot data for the publication:</p> <p>swiftReg cluster registration automatically reduces flow cytometry data variability including batch effects.</p>
Figure 5b plot data
<p>Figure 5b plot data for the publication:</p> <p>swiftReg cluster registration automatically reduces flow cytometry data variability including batch effects.</p>
Figure 3bc plot data
<p>Figure 3bc plot data for the publication:</p> <p>swiftReg cluster registration automatically reduces flow cytometry data variability including batch effects.</p>
Figure 2bc plot data
<p>Figure 2bc plot data for the publication:</p> <p>swiftReg cluster registration automatically reduces flow cytometry data variability including batch effects.</p>
Fig S1: PCA plot indicating the distance and dissimilarity among 46 Asian populations based on 15 autosomal STR data.
<p>Supplementary file related with submission in Genes.</p> <p><strong>Evaluation of the gene flow from East to West among various populations of Rajasthan, India</strong></p> <p>R. K. Kumawat<sup>1, 2#</sup>,<sup> </sup>Pankaj Shrivastava<sup>3</sup>*<sup>#</sup>, Shivani Dixit<sup>3,</sup> Divya Shrivastava<sup>1</sup>, G.K. Mathur<sup> 2 </sup>and Gyaneshwer Chaubey<sup>4</sup></p> <p><sup>1</sup>School of Life Sciences, Jaipur National University, Jaipur-302017, Rajasthan, India</p> <p><sup>2</sup>DNA Division, State Forensic Science Laboratory, Rajasthan, Jaipur -302016, India</p> <p><sup>3</sup>DNA Fingerprinting Unit, State Forensic Science Laboratory, Department of Home (Police), Govt. of MP, Sagar-470001, India</p> <p><sup>4</sup>Cytogenetics Laboratory, Dept. of Zoology, Banaras Hindu University, Varanasi-221005, India</p> <p><sup>#</sup>author with equal credential</p> <p>*Corresponding Author – <a href="mailto:pankaj.shrivastava@rediffmail.com">pankaj.shrivastava@rediffmail.com</a></p> <p>Contact details: Phone No.- +919424371946</p>
plot data
<p>This "plot data" were the most important data in this paper "Watershed-scale groundwater nitrogen pollution sources tracing and nitrogen loading calculating in the Yiluo River, Middle of China". </p>
Corner plots of MgII emission line fits for z~6 quasars
<p>Corner plots for the MgII emission line fits for ten z~6 quasars shown in Fig. 10 from this paper: https://ui.adsabs.harvard.edu/abs/2020arXiv200201811E/abstract. Model parameters and fitting procedure are described in section 4.2.</p>
Stress-strain plotting MatFlow demonstration
<p>This is a completed MatFlow workflow for plotting a stress-strain curve from a full-field crystal plasticity simulation.</p>
Figure 5 Inconsistency factor plots for CD013155
<p>High resolution image of inconsistency factor plots for the Cochrane review: "Treatment for bleeding oesophageal varices in people with decompensated liver cirrhosis: a network meta-analysis" (DOI: 10.1002/14651858.CD013155)</p>
Figure 6 Forest plots for CD013122
<p>This is the high-resolution image of forest plots for the Cochrane review: "Secondary prevention of variceal bleeding in adults with previous oesophageal variceal bleeding due to decompensated liver cirrhosis: a network meta-analysis (DOI: 10.1002/14651858.CD013122)"</p>
Data from: Variation in three community features across habitat types and scales within a 15-ha subtropical evergreen-deciduous broadleaved mixed forest dynamics plot in China
The evergreen and deciduous broadleaved mixed forests (EDBMFs) belong to one of the ecosystems most sensitive to environmental change, however, little is known about the environmental determinants for their plant diversity and forest structure at different habitat types and spatial scales. Here, we used data from a 15-ha (300×500 m) forest dynamic plot (FDP) of an old-growth EDBMF to examine the patterns and determinants of the three community features (stem abundance, rarefied species richness and basal area) in three habitat types (ridge, hillside and foothill) and at three spatial scales (20×20 m, 50×50 m and 100×100 m). We found that the three community features significantly changed with habitat type, but only one of them (rarefied richness) changed with scale. Among spatial scales, the principle environmental factors that widely affected community features were pH, SOM and TP, while these effects only taken place at certain habitat. Variations in the three community features explained by soil conditions were generally greater than those explained by topographical conditions. With changes in habitat type, the proportion of variations explained by environmental conditions was 31-53%, 8-25%, and 18-26% for abundance, rarefied richness and basal area (BA), respectively. With increasing spatial scale, the variations explained by environmental conditions were 44-75% for abundance, 28-95% for rarefied richness, and 18-86% for BA. Our study demonstrated that environmental factors had great impacts on the plant diversity and forest structure in the EDBMFs, especially the soil factors such as pH. In addition, the importance of the environmental determinants on these community features was highly related to the spatial scale.
Census data from 65 tree plots in Panama, 1994-2015
<p>These are data from 65 tree plots in Panama established over 1994-2014; 43 of the plots have been recensused, while 22 plots have just a single census. Details of census methods are described in Condit (1998) and Condit et al. (2013). The 65 plots here are mostly 1 ha in area, though several are 0.32 ha, one is 4 ha, and one is 6 ha. Those two larger censuses are the Sherman and Cocoli plots described in Condit et al. (2004). A companion data archive includes all data from the Barro Colorado 50-ha plot (Condit et al. 2019).</p> <p>The PIs would like to be informed of papers resulting from the marena plot data. Depending on our level of interest and how much a paper depends on the plots, co-authorship might be requested.</p> References <ul> <li>Condit, R., Engelbrecht, B. M. J., Pino, D., Pérez, R., and Turner, B. L. 2013. Species distributions in response to individual soil nutrients and seasonal drought across a community of tropical trees. Proceedings of the National Academy of Sciences 110:5064–5068. pdf http://conditdatacenter.org/pdfs/ConditEtAlPNAS2013.pdf.</li> <li>Condit, R., 1998. Tropical Forest Census Plots: Methods and Results from Barro Colorado Island, Panama and a Comparison with Other Plots. Springer-Verlag, Berlin. pdf http://conditdatacenter.org/pdfs/Condit_1998_CensusPlotsmethodsBook.pdf.</li> <li>Condit R., Perez, R., Aguilar, S., Lao, S., Foster, R., Hubbell, S.P. 2019. Complete data from the Barro Colorado 50-ha plot: 423617 trees, 35 years, 2019 version. https://doi.org/10.15146/5xcp-0d46. <ul> <li> <ul> <li>Condit, R., Aguilar, S., Hernandez, A., Pérez, R., Lao, S., Angehr, G., Hubbell, S., and Foster, R. 2004. Tropical forest dynamics across a rainfall gradient and the impact of an El Niño dry season. Journal of Tropical Ecology 20:51–72. pdf http://conditdatacenter.org/pdfs/Condit%20et%20al_2004_J.of%20Trop.Eco.pdf.</li> </ul> </li> </ul> </li> </ul>
Data and plot scripts for Haswell experiments
<p>Data and plot scripts for Haswell experiments on extruded meshes.</p>
Data and plot scripts for Sandy Bridge experiments
<p>Data and plot scripts for Sandy Bridge experiments on extruded meshes.</p>
Dataset of point-clouds generated by UAV LiDAR scanning of barley field-plot trial.
<p>Point clouds from eight scanning flights, scanned by UAV LiDAR system VUX-UAV1 (Ricopter GmBh), provided in forms of separated .las files. Dataset represent raw data that were further processed by software ALFA to extract height of canopies in particular field plots. Software serves for monitoring of plant growth dynamics in agricultural or breeding filed-plot trials.</p>
SBE Seedling Matrix Plot Dataset
<div> <h2>Description</h2> <p>This dataset covers a network of stations placed across the south block of the Sabah Biodiversity Experiment (SBE). Two stations were placed in 54 of the SBE plots spanning the range of monocultures, 4-species mixtures, 16-species mixtures and non-planted controls. The stations are a group of three plots placed in a T-formation between the planting lines of the SBE. Each plot in the station are 1 x 1 m where all seedlings were measured for height, diameter at base (5 cm above the soil) and diameter at breast height (1.3 m, if the seedling had sufficient height). Seedlings were identified to species or genus if possible. </p> <h2>Data Access</h2> <p>The dataset is only available upon the approval of Dr. Michael O'Brien (mikey.j.obrien@gmail.com) and Dr. David Burslem (d.burslem@abdn.ac.uk) under the expectation that all authors mentioned here are included as co-authors on any publications that use this dataset.</p> <h2>Notes for users</h2> <p>1. All diameter units are measured in millimeters (mm). We apologize for the wrong units (<em>i.e.</em>, cm) shown in the dataset.</p> <h2>Funding</h2> <p>These data were collected as part of research funded by:</p> <ul> <li>UK Natural Environment Research Council (Standard grant , NE/X000281/1 )</li> <li>Agencia Estatal de Investigación de España; Ramon y Cajal (Standard grant , RYC2021-032049-I )</li> </ul> <p> </p> <p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p> <h2>Files</h2> <p>This dataset consists of 1 file: SBE_seedling_matrix_data.xlsx</p> <h2>SBE_seedling_matrix_data.xlsx</h2> <p>This file contains dataset metadata and 1 data tables:</p> <h3>SBE Seedling Matrix Plot Dataset</h3> <ul> <li>Worksheet: SBE_seedling_matrix_data</li> <li>Description: This dataset covers a network of stations placed across the south block of the Sabah Biodiversity Experiment (SBE) in July 2024. Two stations were placed ineach of 54 of the SBE plots spanning the range of monocultures, 4-species mixtures, 16-species mixtures (both line and enhanced climber removal) and non-planted controls. The stations are a group of three plots placed in a T-formation between the planting lines of the SBE. Each plot in the station are 1 x 1 m where all seedlings were measured for height, diameter at base (5 cm above the soil) and diameter at breast height (1.3 m, if the seedling had sufficient height). Seedlings were identified to species or genus if possible.</li> <li>Number of fields: 16</li> <li>Number of data rows: 1122</li> <ul> <li>SBE_plot: Plot number of SBE (type: replicate)</li> <li>station: Station number (type: replicate)</li> <li>plot: Plot number of seedling matrix (type: replicate)</li> <li>tag: Tag number of seedling (type: replicate)</li> <li>location: Location used to compare against the gazetteer (type: location)</li> <li>survey_date: Date of survey (type: date)</li> <li>spp_code: Species naming code (type: categorical)</li> <li>genus: Genus of the seedling being measured (type: categorical)</li> <li>species: Species of the seedling being measured (type: categorical)</li> <li>genus_species: The genus and species of seedling combined (type: taxa)</li> <li>survival: Did the seedling survive when measurements were being taken? (type: categorical)</li> <li>height: Measure to the tip of leader shoot (to nearest cm) (type: numeric trait)</li> <li>diam1: Measure diameter of stem base at 5cm from the ground (in mm) (type: numeric trait)</li> <li>diam2: Same as Diam 1 but at right-angle to first measurement (in mm) (type: numeric trait)</li> <li>dbh1: Measure diameter of stem at 130cm from the ground (in mm) (type: numeric trait)</li> <li>dbh2: As with DBH 1 but at right-angle to first measurement (in mm) (type: numeric trait)</li> </ul> </ul> <h2>Extents</h2> <ul> <li>Date range: 2024-07-15 to 2024-08-07</li> <li>Latitudinal extent: 5.07° to 5.09°</li> <li>Longitudinal extent: 117.64° to 117.67°</li> </ul> <h2>Taxonomic coverage</h2> <p>This dataset contains data associated with taxa and these have been validated against appropriate taxonomic authority databases.</p> <h3>GBIF taxa details</h3> <p>The following taxa were validated against the GBIF backbone dataset (version 2023-08-28). If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p> <div> - Plantae<br> -  - Tracheophyta<br> -  -  - Magnoliopsida<br> -  -  -  - Cornales<br> -  -  -  -  - Cornaceae<br> -  -  -  -  -  - <em>Alangium</em><br> -  -  -  -  -  -  - <em>Alangium javanicum</em><br> -  -  -  - Dilleniales<br> -  -  -  -  - Dilleniaceae<br> -  -  -  -  -  - <em>Dillenia</em><br> -  -  -  -  -  -  - <em>Dillenia excelsa</em><br> -  -  -  - Ericales<br> -  -  -  -  - Actinidiaceae<br> -  -  -  -  -  - <em>Saurauia</em><br> -  -  -  -  - Ebenaceae<br> -  -  -  -  -  - <em>Diospyros</em><br> -  -  -  -  - Lecythidaceae<br> -  -  -  -  -  - <em>Barringtonia</em><br> -  -  -  -  -  -  - <em>Barringtonia macrostachya</em><br> -  -  -  -  - Primulaceae<br> -  -  -  -  -  - <em>Ardisia</em><br> -  -  -  -  -  -  - <em>Ardisia macrocarpa</em><br> -  -  -  - Fabales<br> -  -  -  -  - Fabaceae<br> -  -  -  -  -  - <em>Fordia</em><br> -  -  -  -  -  -  - <em>Fordia brachybotrys</em><br> -  -  -  - Gentianales<br> -  -  -  -  - Gentianaceae<br> -  -  -  -  -  - <em>Fagraea</em><br> -  -  -  -  -  - <em>Utania</em><br> -  -  -  -  -  -  - <em>Utania cuspidata</em> (as synonym: <em>Fagraea cuspidata</em>)<br> -  -  -  -  - Rubiaceae<br> -  -  -  -  -  - <em>Ixora</em><br> -  -  -  -  -  -  - <em>Ixora blumei</em><br> -  -  -  -  -  - <em>Urophyllum</em><br> -  -  -  - Laurales<br> -  -  -  -  - Lauraceae<br> -  -  -  -  -  - <em>Dehaasia</em><br> -  -  -  -  -  - <em>Eusideroxylon</em><br> -  -  -  -  -  -  - <em>Eusideroxylon zwageri</em><br> -  -  -  -  -  - <em>Litsea</em><br> -  -  -  - Magnoliales<br> -  -  -  -  - Annonaceae<br> -  -  -  -  -  - <em>Goniothalamus</em><br> -  -  -  -  -  - <em>Orophea</em><br> -  -  -  -  -  -  - <em>Orophea myriantha</em><br> -  -  -  -  -  - <em>Polyalthia</em><br> -  -  -  -  - Myristicaceae<br> -  -  -  -  -  - <em>Knema</em><br> -  -  -  - Malpighiales<br> -  -  -  -  - Achariaceae<br> -  -  -  -  -  - <em>Hydnocarpus</em><br> -  -  -  -  -  -  - <em>Hydnocarpus borneensis</em><br> -  -  -  -  - Calophyllaceae<br> -  -  -  -  -  - <em>Calophyllum</em><br> -  -  -  -  - Chrysobalanaceae<br> -  -  -  -  -  - <em>Parinari</em><br> -  -  -  -  -  -  - <em>Parinari excelsa</em><br> -  -  -  -  - Euphorbiaceae<br> -  -  -  -  -  - <em>Hancea</em><br> -  -  -  -  -  -  - <em>Hancea penangensis</em><br> -  -  -  -  -  - <em>Koilodepas</em><br> -  -  -  -  -  -  - <em>Koilodepas laevigatum</em><br> -  -  -  -  -  -  - <em>Koilodepas longifolium</em><br> -  -  -  -  -  - <em>Macaranga</em><br> -  -  -  -  -  -  - <em>Macaranga pearsonii</em><br> -  -  -  -  -  - <em>Mallotus</em><br> -  -  -  -  -  -  - <em>Mallotus miquelianus</em><br> -  -  -  -  -  - <em>Tritaxis</em><br> -  -  -  -  -  -  - <em>Tritaxis denticulata</em> (as synonym: <em>Dimorphocalyx murinus</em>)<br> -  -  -  -  - Hypericaceae<br> -  -  -  -  -  - <em>Cratoxylum</em><br> -  -  -  -  -  -  - <em>Cratoxylum cochinchinense</em><br> -  -  -  -  - Phyllanthaceae<br> -  -  -  -  -  - <em>Aporosa</em><br> -  -  -  -  -  -  - <em>Aporosa grandistipula</em><br> -  -  -  -  -  - <em>Baccaurea</em><br> -  -  -  -  -  -  - <em>Baccaurea tetrandra</em><br> -  -  -  -  -  - <em>Glochidion</em><br> -  -  -  -  -  -  - <em>Glochidion rubrum</em><br> -  -  -  - Malvales<br> -  -  -  -  - Dipterocarpaceae<br> -  -  -  -  -  - <em>Dipterocarpus</em><br> -  -  -  -  -  -  - <em>Dipterocarpus applanatus</em><br> -  -  -  -  -  - <em>Dryobalanops</em><br> -  -  -  -  -  -  - <em>Dryobalanops lanceolata</em><br> -  -  -  -  -  - <em>Hopea</em><br> -  -  -  -  -  -  - <em>Hopea ferruginea</em><br> -  -  -  -  -  -  - <em>Hopea nervosa</em><br> -  -  -  -  -  - <em>Parashorea</em><br> -  -  -  -  -  -  - <em>Parashorea malaanonan</em><br> -  -  -  -  -  -  - <em>Parashorea warburgii</em> (as synonym: <em>Parashorea tomentella</em>)<br> -  -  -  -  -  - <em>Shorea</em><br> -  -  -  -  -  -  - <em>Shorea fallax</em><br> -  -  -  -  -  -  - <em>Shorea johorensis</em><br> -  -  -  -  -  -  - <em>Shorea leprosula</em><br> -  -  -  -  -  -  - <em>Shorea parvifolia</em><br> -  -  -  -  -  -  - <em>Shorea pauciflora</em><br> -  -  -  -  -  - <em>Vatica</em><br> -  -  -  -  - Malvaceae<br> -  -  -  -  -  - <em>Brownlowia</em><br> -  -  -  -  -  -  - <em>Brownlowia peltata</em><br> -  -  -  -  -  - <em>Microcos</em><br> -  -  -  -  -  - <em>Pentace</em><br> -  -  -  -  -  -  - <em>Pentace borneensis</em> (as synonym: <em>Pentace laxiflora</em>)<br> -  -  -  -  -  - <em>Pterospermum</em><br> -  -  -  -  -  -  - <em>Pterospermum subpeltatum</em><br> -  -  -  - Myrtales<br> -  -  -  -  - Myrtaceae<br> -  -  -  -  -  - <em>Syzygium</em><br> -  -  -  -  -  -  - <em>Syzygium christmannii</em><br> -  -  -  - Rosales<br> -  -  -  -  - Moraceae<br> -  -  -  -  -  - <em>Ficus</em><br> -  -  -  -  - Rhamnaceae<br> -  -  -  -  -  - <em>Ziziphus</em><br> -  -  -  -  -  -  - <em>Ziziphus angustifolia</em><br> -  -  -  - Sapindales<br> -  -  -  -  - Anacardiaceae<br> -  -  -  -  -  - <em>Mangifera</em><br> -  -  -  -  - Burseraceae<br> -  -  -  -  -  - <em>Canarium</em><br> -  -  -  -  -  -  - <em>Canarium denticulatum</em><br> -  -  -  -  - Meliaceae<br> -  -  -  -  -  - <em>Aglaia</em><br> -  -  -  -  -  -  - <em>Aglaia silvestris</em><br> -  -  -  -  -  - <em>Chisocheton</em><br> -  -  -  -  - Sapindaceae<br> -  -  -  -  -  - <em>Dimocarpus</em><br> -  -  -  -  -  -  - <em>Dimocarpus dentatus</em><br> -  -  -  -  -  - <em>Nephelium</em><br> -  -  -  -  -  -  - <em>Nephelium ramboutan-ake</em><br> -  -  -  -  -  - <em>Paranephelium</em><br> -  -  -  -  -  -  - <em>Paranephelium xestophyllum</em><br> -  -  -  - Vitales<br> -  -  -  -  - Vitaceae<br> -  -  -  -  -  - <em>Leea</em><br> -  -  -  -  -  -  - <em>Leea aculeata</em><br> -  -  -  -  -  -  - <em>Leea indica</em></div> </div>
Complete data from the Barro Colorado 50-ha plot: 423617 trees, 35 years
<p>The 50-ha plot at Barro Colorado Island was initially demarcated and fully censused in 1982, and has been fully censused 7 times since, every 5 years from 1985 through 2015 (Hubbell and Foster 1983, Hubbell et al. 1990, Condit et al. 2012, Condit et al. 2017). Every measurement of every stem over 8 censuses is included in this archive. Most users will need only the 8 R Analytical Tables in the format <i>tree</i>, which come here zipped together into a single archive (bci.tree.zip), plus the single R Species Table. Additional tables cover all individuals stems, additional measurements at mulitple positions on some stems, and the full database in original MySQL format. This is the 2019 version of the database, frozen as of 30 May 2019, replacing the 2012 Smithsonian archive (http://dx.doi.org/10.5479/data.bci.20130603). There are unauthorized versions of the BCI database available elsewhere. This is the only version approved by the lead investigators (Condit and Hubbell).</p> <p>PIs Condit and Hubbell would like to be informed of papers resulting from the BCI plot data. Depending on our level of interest and how much a paper depends on the BCI plot, co-authorship might be requested.</p> <p>Please cite this archive as</p> <p>Condit R., Perez, R., Aguilar, S., Lao, S., Foster, R., Hubbell, S.P. 2019. Complete data from the Barro Colorado 50-ha plot: 423617 trees, 35 years, 2019 version.</p> <p>along with this URL and DOI, which are permanent.</p> References <ul> <li>Hubbell, S. P. and Foster, R. B. 1983. Diversity of canopy trees in a neotropical forest and implications for conservation. Pp. 25-41 in Tropical Rain Forest: Ecology and Management, Whitmore, T., Chadwick, A., and Sutton, A. (Eds.). The British Ecological Society.</li> <li>Hubbell, S. P., Condit, R., and Foster, R. B. 1990. Presence and absence of density dependence in a Neotropical tree community. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences Pages 269–281. pdf http://conditdatacenter.org/pdfs/HubbellConditFoster.PhilTrans1990.pdf</li> <li>Condit, R., 1998. Tropical Forest Census Plots: Methods and Results from Barro Colorado Island, Panama and a Comparison with Other Plots. Springer-Verlag, Berlin. pdf Condit_1998_CensusPlotsmethodsBook.pdf.</li> <li>Harms, K., Condit, R., Hubbell, S., and Foster, R. 2001. Habitat associations of trees and shrubs in a 50-ha Neotropical forest plot. Journal of Ecology 89:947–959. pdf http://conditdatacenter.org/pdfs/Condit_harmsetal.jecol.2001.pdf</li> <li>Condit, R., Chisholm, R. A., and Hubbell, S. P. 2012. Thirty years of forest census at Barro Colorado and the importance of immigration in maintaining diversity. PLoS ONE 7:e49826. pdf http://conditdatacenter.org/pdfs/ConditChisholmHubbell2012.pdf</li> <li>Condit, R., Lao, S., Singh, A., Esufali, S., and Dolins, S. 2014. Data and database standards for permanent forest plots in a global network. Forest Ecology and Management, 316: 21-31. pdf http://conditdatacenter.org/pdfs/ConditEtAl_FORECO2014.pdf</li> <li>Cushman, K., Muller-Landau, H. C., Condit, R. S., and Hubbell, S. P. 2014. Improving estimates of biomass change in buttressed trees using tree taper models. Methods in Ecology and Evolution, 5:573–582. pdf http://conditdatacenter.org/pdfs/CushmanConditEtAl_2014_MEE.pdf</li> <li>Condit, R., Pérez, R., Aguilar, S., Lao, S., and Hubbell, S. P. 2017. Demographic trends and climate over 35 years in the Barro Colorado 50 ha plot. Forest Ecosystems 4:1–13. pdf http://conditdatacenter.org/pdfs/Condit_et_al-2017-Forest_Ecosystems.pdf</li> <li>Condit R., Perez, R., Aguilar, S., Lao, S., Foster, R., Hubbell, S.P. 2019. BCI 50-ha plot taxonomy, 2019 version. DataONE Dash, Dataset, https://doi.org/10.15146/R3FH61.</li> </ul>
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.