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.
2,583
datasets available to search
ShareScore release 0.9.0
Dataset results
2,583 results for “morphometric”
Greenhouse mixed culture experiment from August 2002 to April 2003 (FCE): Evaluate the effect of salinity and hydroperiod on interspecific mangrove seedlings growth rate (mixed culture) / Morphometric variables
A greenhouse experiment (mixed culture experiment) was performed for 8 months to evaluate the effect of salinity and hydroperiod on seedling growth rates of 2 mangrove species( Laguncularia racemosa and Rizhophora mangle). Data analyses are currently being performed.
Distribution-wide morphometric data of Jungle Crows (Corvus macrorhynchos)
<p>Here we present a dataset derived from standardised photography of museum specimens of Jungle Crows (<em>Corvus macrorhynchos</em>), a widespread Asian Corvid. We photographed 1105 crows, of which 1069 we managed to collect measurements of hard tissue (i.e., bill characteristics and tarsus length). We combined these measurements with museum curated data on the locality of the specimens, resulting in a geo-tagged dataset of crow morphology. The measured crows originated from across their distribution, representing the most comprehensive morphometric dataset for <em>Corvus macrorhynchos</em> to date.</p> <p>The data consists of three .csv files, and five zip files:</p> <ul> <li>Museum Crow Measurements Metadata.csv contains the information on the columns contained in Museum Crow Measurements.csv split into Column and Details, where column names match those found in Museum Crow Measurements.csv, and details provide information on the data within that column.</li> <li>Museum Crow Measurements.csv represents the core data table containing all hard tissue measurements of C. macrorhynchos alongside museum derived field and manually review location fields. Each row equals an individual specimen and missing data are denoted with <NA>.</li> <li>Museum Crow Measurements Epicollect.csv contains the information collected alongside the images taken via Epicollect. The data was used to link photos and subsequent measurements to museum metadata.</li> </ul> <p>Within the zip files are JPEG versions of the crow specimen photographs, seperated into dated folders, named with the original CANON folder they were saved in, the original image number they were created with, and the crow ID (C###{Canon folder number}_IMG_####{Image Number}_####{crow ID}.JPEG). The image number and crow ID match with information contained in Museum Crow Measurements Epicollect.csv. The information contained in Museum Crow Measurements Epicollect.csv pertaining to the number of first image was the basis for renaming the image files.</p> <ul> <li>ANMH_{YYYY-MM-DD}.zip. The American Museum of Natural History in New York, USA</li> <li>CUMV_{YYYY-MM-DD}.zip. The Cornell Lab of Ornithology in Ithaca, USA</li> <li>FMNH_{YYYY-MM-DD}.zip. The Field Museum of Natural History in Chicago, USA</li> <li>NHMUK_{YYYY-MM-DD}.zip. The Natural History Museum at Tring, UK. Images for 2024-03-13 are split into two parts, indicated by _#, to reduce individual file size.</li> <li>USNM_{YYYY-MM-DD}.zip. The Smithsonian National Museum of Natural History in Washington, D.C., USA</li> </ul> <p>Full description of the data can be found at <a href="https://doi.org/10.1016/j.dib.2025.111325" target="_blank" rel="noopener">https://doi.org/10.1016/j.dib.2025.111325</a> (Alamshah, A. L., & Marshall, B. M. (2025). Distribution-wide morphometric data of Jungle Crows (Corvus macrorhynchos). <em>Data in Brief</em>, 111325.)</p> <p>Citations for use of this data are below:</p> <p>@article{alamshah_distribution-wide_2025,<br> title = {Distribution-wide morphometric data of {Jungle} {Crows} ({Corvus} macrorhynchos)},<br> issn = {23523409},<br> url = {https://linkinghub.elsevier.com/retrieve/pii/S2352340925000575},<br> doi = {10.1016/j.dib.2025.111325},<br> language = {en},<br> urldate = {2025-01-24},<br> journal = {Data in Brief},<br> author = {Alamshah, Aubrey Lynn and Marshall, Benjamin Michael},<br> month = jan,<br> year = {2025},<br> pages = {111325},<br>}</p> <p>@misc{alamshah_distribution-wide_2024,<br> title = {Distribution-wide morphometric data of {Jungle} {Crows} ({Corvus} macrorhynchos)},<br> copyright = {Creative Commons Attribution 4.0 International},<br> url = {https://zenodo.org/doi/10.5281/zenodo.12788353},<br> doi = {10.5281/ZENODO.12788353},<br> language = {en},<br> urldate = {2025-05-08},<br> publisher = {Zenodo},<br> author = {Alamshah, Aubrey and Marshall, Benjamin Michael},<br> month = jul,<br> year = {2024},<br> keywords = {Zoology, FOS: Biological sciences, Evolutionary biology, Ornithology},<br>}</p> <p>This data has been used in the following manuscript:</p> <p>@article{alamshah_big_2025,<br> title={Big bills, small changes: with few exceptions, Jungle crows show minor variation in bill morphology across their distribution},<br> author={Alamshah, Aubrey Lynn and Marshall, Benjamin Michael},<br> year={2025},<br> publisher={EcoEvoRxiv},<br> doi={https://doi.org/10.32942/X2NW74}<br>}</p>
Morphometric data from: Incongruent molecular and morphological variation in the crab spider Synema globosum (Araneae: Thomisidae) in Europe
<p>Here we provide the complete set of files used by <a href="https://doi.org/10.3897/zookeys.1078.64116">Urfer et al. (2021</a>, see References section below for the complete citation of the publication) for the morphometric and the molecular analysis. In particular, we provide the following documents:</p> <p><br> PART 1: MORPHOMETRIC ANALYSIS</p> <p>- 1_Synema_data_multiple_imputation_mice.R: R-script used for replacing NAs.</p> <p>- 1_Synema_data_NA_imputed.csv: Dataset with raw values (in millimeters) of all 28 specimens used for the morphometric analysis. Each specimen was measured 4 times. NAs replaced using the R-script "Synema_multiple_imputation_mice.R" above. This is the datafile used for all morphometric analyses.</p> <p>- 1_Synema_data_with_NA.csv: Dataset with raw values (in millimeters) of all 28 specimens. Each specimen was measured 4 times. NAs not replaced.<br> <br> - 1_Synema_Reliability.R: R-script for calculating reliability.<br> <br> - 1_Synema_Reliability_supplementary_figure.pdf: Results of reliability analysis presented in a bar plot.</p> <p>- 1_Synema_Reliability_supplementary_table.txt: Results of reliability analysis presented in a table.<br> <br> - 1_Synema_Shape_PCA_and_PCA_Ratio_Spectrum.R: R-script for calculating the shape PCA and the PCA Ratio Spectrum of the first shape PC. You may get the necessary MRA source script from http://doi.org/10.5281/zenodo.4250142<br> <br> - Synema_globosum_AR9379_PV.jpg, Synema_globosum_AR9379_PV.jpg, Synema_globosum_AR9379_PV.jpg, etc.: Photographs taken with a LEICA M205 C stere-omicroscope.</p> <p> 1. Numbers after AR_ refer to the inventory number of the specimens in the Natural History Musuem Bern (NMBE). The specimen number was also used in the data file.<br> 2. The photo named "Synema_globosum_AR9163_with_measurements" shows the position of the measurements. Otherwise, the measurements are not indicated in the raw photos.</p> <p><br> Example image Character name Definition<br> Synema_globosum_AR9163_with_measurements cym.l Cymbium lenght Distance of the anterior margin to the tip of the cymbium<br> Synema_globosum_AR9163_with_measurements cym.b Cymbium breadth widest breadth of the cymbium<br> Synema_globosum_AR9163_with_measurements bul.b Bulb breadth widest breadth of the genital bulbus<br> Synema_globosum_AR9163_with_measurements tib.b Tibia breadth breadth of the tibia base at the patella joint</p>
geomtric morphometric analysis of a Canid lower dp4 from Oumm Qatafa (OQ-75)
<p>geomtric morphometric analysis of a Canid lower dp4 from Oumm Qatafa (OQ-75). See OQ_dp4.nb.html for details. </p>
Surface Morphometrics Quantifications
<p>Quantifications, including per-mitochondrion-analysis, associated with the manuscript "Quantifying organellar ultrastructure in cryo-electron tomography using a surface morphometrics pipeline" - https://www.biorxiv.org/content/10.1101/2022.01.23.477440v3</p>
LIDAR Derived Dune-Crest Elevation Values and Shrub Prediction Morphometrics for the Virginia Coast Reserve Barrier Islands: 2010 - 2017
This dataset includes LIDAR derived dune-crest elevation values for the VCR for 2010-2017. Dune-crest elevation values were sampled every 100 m from Smith to Cedar islands. The ArcGis Pro file includes the location of dune-crest transects. Additionally, this dataset includes island characteristics related to predicting shrub presence or absence for 2010, 2016, and 2017.
Semi-automated Quantitative Morphometric Analysis of E18 Rat Hippocampal Neurons from 0.5 to 6 Days In Vitro
<p>This is the dataset presented in "Semi-automated quantitatve evaluation of neuron developmental morphology <em>in vitro</em> using the change-point test" by AS Liao, W Cui, VS Webster-Wood, and YJ Zhang (submitted to Neuroinformatics 2022).</p>
The Identification of Extinct Megafauna in Rock art Using Geometric Morphometrics: A Genyornis newtoni Painting in Arnhem Land, Northern Australia?
<p>Raw data files used for the analysis of a contentiously identified rock-art image located in Arnhem Land, Northern Australia. The data were used to test a novel approach to quantifying species identification in rock art images to assess the extent to which an image resembles other rock art of sound identification or anatomical images of visually similar species.</p> <p>Included files are the raw coordinate data files ("[feature] PCA file", .txt format) for use in Morphologika2, and formatted files for use in CVAGen8 ("[feature]" x1y1 file for CVA", .x1y1 format; "[feature] group file", .txt format).</p> <p>Files produced using software by Rohlf (2015) and Sheets (2014)</p>
water vole m1 geometric morphometrics
<p>Code and data for the geometric morphometric analysis of water vole (<em>A amphibius</em>) lower first molars. The files include:</p> <p>1) the complete information on the specimens included in the geometric morphometric analysis (“./redig_specinfo_20230222.csv”)</p> <p>2) the landmarks file (“./lmrks_20230222.TPS”)</p> <p>3) R code (“./gmm_pipeline_vole_20230727.R”)</p> <p>For any questions, please contact nimrod.arch@gmail.com</p>
Fates and morphometrics of snowshoe hares collared in Bonanza Creek Experimental Forest from 2008 to present
This dataset contains the fates and morphometric measurements of snowshoe hares collared in Bonanza Creek Experimental Forest, including dates of collaring and recovery, cause or mortality, weight, hind foot length, and sex.
Appendix Morphometric parameters of Chaetonotus (Chaetonotus) antrumus Kolicka sp. nov. Abbreviations: N = number of specimens or structures analysed; Range = the smallest and the largest structure measurement found among all specimens measured; SD = standard deviation. All measurements are given in micrometers (μm); all indicators are given as a percentage (%) and italicized. in A new species of freshwater Chaetonotidae (Gastrotricha, Chaetonotida) from Obodska Cave (Montenegro) based on morphological and molecular characters
Appendix Morphometric parameters of Chaetonotus (Chaetonotus) antrumus Kolicka sp. nov. Abbreviations: N = number of specimens or structures analysed; Range = the smallest and the largest structure measurement found among all specimens measured; SD = standard deviation. All measurements are given in micrometers (μm); all indicators are given as a percentage (%) and italicized.
Geographic patterns in morphometric and genetic variation for coyote populations with emphasis on southeastern coyotes
Prior to 1900, coyotes (Canis latrans) were restricted to the western and central regions of North America, but by the early 2000s coyotes became ubiquitous throughout the eastern United States. Information regarding morphological and genetic structure of coyote populations in the southeastern United States is limited, and where data exist, they are rarely compared to those from other regions of North America. We assessed geographic patterns in morphology and genetics of coyotes with special consideration of coyotes in the southeastern United States. Mean body mass of coyote populations increased along a west-to-east gradient, with southeastern coyotes being intermediate to western and northeastern coyotes. Similarly, principal component analysis of body mass and linear body measurements suggested that southeastern coyotes were intermediate to western and northeastern coyotes in body size but exhibited shorter tails and ears from other populations. Genetic analyses indicated that southeastern coyotes represented a distinct genetic cluster that differentiated strongly from western and northeastern coyotes. We postulate that southeastern coyotes experienced lower immigration from western populations than did northeastern coyotes, and over time, genetically diverged from both western and northeastern populations. Coyotes colonizing eastern North America experienced different selective pressures than did stable populations in the core range and we offer that the larger body size of eastern coyotes reflect an adaptation that improved dispersal capabilities of individuals in the expanding range.
Replication R code and data for "Geometric morphometric investigation of craniofacial morphological change in domesticated silver foxes"
<p>This repository holds various files and R code used in the publication of the manuscript entitled "Geometric morphometric investigation of craniofacial morphological change in domesticated silver foxes".</p> <p>Data files include: The 3D landmark coordinates of each individual specimen (Fox_data_Morphologika.txt), the linear measurement data associated with those foxes (fox_linear_volume_data.csv), and replication data measurements. </p> <p>The following files include the R code used to perform the analyses contained within the paper:</p> <p>1_Procrustes_analysis - details the Geometric morphometrics analyses performed</p> <p>2_linear_models - details the model specification for the GLS models employed in the paper</p> <p>3_graph_code - contains R script for the creation of the graphs displayed in the paper</p> <p>4_repeatability_script - contains R code that details the statistical calculations made with the repeatability measurements indicated above. </p> <p> </p> <p> </p> <p> </p>
Anthropoid morphometric and phylogenetic data, with R replication code.
<p>This repository contains four files: 1) a NEXUS phylogeny of 100 anthropoid primates; 2) a CSV text file of anthropoid primate lower molar areas, body mass, and primary dietary category; 3) a CSV text file of modern human lower molar area proportions; and, 4) an R script containing replication code for fitting Bayesian phylogenetic generalized linear mixed models to the morphometric data. These files are associated with the paper "The Evolution of Anthropoid Molar Proportions" in BMC Evolutionary Biology (2016).</p>
FIGURE 3 in Sexual dimorphism in a freshwater atyid shrimp (Decapoda: Caridea) with direct development: a geometric morphometrics approach
FIGURE 3. Relative deformations grids illustrating the variation in the mean shape of the carapace for (a) females and (b) males.
FIGURE 2 in Sexual dimorphism in a freshwater atyid shrimp (Decapoda: Caridea) with direct development: a geometric morphometrics approach
FIGURE 2. Scatter plot of first versus second principal component axes for the total variation of the carapace shape for females, juvenile females and males of Neocaridina davidi.
Figure 6. from Detecting taxonomic signal in an under-utilised character system: geometric morphometrics of the forcipular coxae of Scutigeromorpha (Chilopoda) - ZooKeys 156: 49-66 (20 December 2011) https://doi.org/10.3897/zookeys.156.1997
Figure 6. - Strobe models of five positions along the canonical variates indicated in Fig. 5. CV-1, CV-2, and CV-3 axes account for 79.5% of the observed between-species shape variation. Landmarks and semi-landmarks are superimposed in the figure to the right of each sequence to express the magnitudes and directions (arrows) of shape trends. In all models, the mesial margin of the coxa is depicted to the left, the lateral margin to the right.
Supplementary material 1: Appendix from Detecting taxonomic signal in an under-utilised character system: geometric morphometrics of the forcipular coxae of Scutigeromorpha (Chilopoda) - ZooKeys 156: 49-66 (20 December 2011) https://doi.org/10.3897/zookeys.156.1997
Voucher data for specimens use din morphometric analyses and supplementary figures of Canonical Variates scatterplots
Figure 5. from Detecting taxonomic signal in an under-utilised character system: geometric morphometrics of the forcipular coxae of Scutigeromorpha (Chilopoda) - ZooKeys 156: 49-66 (20 December 2011) https://doi.org/10.3897/zookeys.156.1997
Figure 5. - Results of the CVA of coxal shape data for all eight species, showing the subspaces formed by the first three discriminant axes, which together account for more than 79% of observed between-group shape variation. Within each subspace plot the black circles represent the coordinate locations for each of the five along-axis shape models depicted in Fig. 6.
Figure 4. from Detecting taxonomic signal in an under-utilised character system: geometric morphometrics of the forcipular coxae of Scutigeromorpha (Chilopoda) - ZooKeys 156: 49-66 (20 December 2011) https://doi.org/10.3897/zookeys.156.1997
Figure 4. - Scatterplots of Procrustes PCA scores for coxal shape data. The first two shape variation axes (top) together account for 62.63% of the observed shape variation; PC-2 and PC-3 axes (bottom) together account for 27.58% of the observed shape variation.
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.