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34,973 results for “morphological”
Effects of long-term nitrogen addition on Solidago altissima stem morphology, size, and herbivory at Kellogg Biological Station 2016-2022
We surveyed naturally occurring tall goldenrod (Solidago altissima) plants in a long-term nitrogen addition field experiment at the Kellogg Biological Station's T7 untilled succession plots in the Main Cropping System Experiment (https://lter.kbs.msu.edu/research/long-term-experiments/main-cropping-system-experiment/). We collected data on the defensive stem nodding morph (which helps plants evade apex-galling herbivores) and presence of galls in 2016, 2021, and 2022.
RIV03 Channel morphology in streams in wooded riparian areas and areas before and after canopy cutting at Konza Prairie
Our project was designed to test if woody removal in a riparian zone allowed the system to rebound to a grassland stream state. We hypothesized that removal would increase stream width due to increased erosion without plant cover.
Pattern morphology for frogs captured at 9 locations in northeastern Puerto Rico over a 25-year period from 1978 to 2002
We recorded the pattern morph for 9,950 frogs captured at 9 locations in northeastern Puerto Rico over a 25-year period from 1978 - 2002. Data revealed 21 distinct pattern morphs including a variety of stripes, bars, and spots. Analysis of morph frequencies between plots showed significant heterogeneity, with longitudinal stripes more common in grassland and disturbed areas, and spot and bar morphs more common in forests where palm and bromeliad axils are important habitat features. Comparison of morph frequencies through time at the same sites showed temporal shifts immediately following Hurricane Hugo in 1989. We suggest that the pattern polymorphism is maintained in part by local habitat matching resulting from selection pressure from visual predators. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Predicting gene expression using morphological cell responses to nanotopography
<p>This dataset contains the raw files, results files and R workspace files (.RData) associated with the paper:</p> <p>Predicting gene expression using morphological cell responses to nanotopography</p> <p>Please note that this dataset is separated according to the Figure presented in the published and peer-reviewed version of the manuscript. Particular folders contain its own README file to facilitate reproduction/replication of results and figures. </p>
Supplementary data for "The subgenual organ complex in stick insects: Functional morphology and mechanical coupling of a complex mechanosensory organ"
<p>µCT-scans of the upper tibial regions of the foreleg (T1) and the midleg (T2) of <em>Ramulus artemis</em> (Westwood, 1859), <em>Carausius morosus</em> (Sinéty, 1901), and <em>Sipyloidea sipylus</em> (Westwood, 1859). For use of scans, please cite the following publication:</p> <p>Strauß, J., Moritz, L. & Rühr, P.T. (<strong>2021</strong>): The subgenual organ complex in stick insects: Functional morphology and mechanical coupling of a complex mechanosensory organ. <em>Frontiers in Ecology and Evolution (Research Topic “Evolutionary Biomechanics of Sound Production and Reception”)</em>. doi: <a href="https://doi.org/10.3389/fevo.2021.632493">10.3389/fevo.2021.632493</a>.</p> <p>All scans were performed with a commercial μCT desktop system (Skyscan 1272, Bruker microCT, Kontich, Belgium) at the Zoological Research Museum Alexander Koenig, Leibniz Institute for Animal Biodiversity, Bonn, Germany.</p> <p><strong>µCT scan settings of all samples:</strong></p> <p><em>Ramulus artemis:</em></p> <ul> <li>tube voltage = 30 kV</li> <li>ube current = 200 μA</li> <li>target = tungsten</li> <li>no filter</li> <li>total sample rotation = 360°</li> <li>angular step size = 0.2°</li> <li>exposure time = 1980 ms</li> <li>binning = 1x1</li> <li>averaging = 8</li> <li>random movement = 15 px</li> <li>voxel size = 1.8 μm</li> <li>fixation: Bouin's solution (24 hours)</li> <li>staining: 0.3% PTA (21 days)</li> <li>storage: 70% EtOH</li> <li>surrounding medium in scan: 70% EtOH</li> <li>filenames: Ramulus_artemis_T1.tif; Ramulus_artemis_T2.tif</li> </ul> <p><em>Carausius morosus:</em></p> <ul> <li>tube voltage = 29 kV</li> <li>ube current = 200 μA</li> <li>target = tungsten</li> <li>no filter</li> <li>total sample rotation = 360°</li> <li>angular step size = 0.2°</li> <li>exposure time = 1900 ms</li> <li>binning = 1x1</li> <li>averaging = 5</li> <li>random movement = 15 px</li> <li>voxel size = 1.0 μm</li> <li>fixation: Bouin's solution (24 hours)</li> <li>staining: 0.3% PTA (21 days)</li> <li>storage: 70% EtOH</li> <li>surrounding medium in scan: 70% EtOH</li> <li>filenames: Carausius_morosus_T1.tif; Carausius_morosus_T2.tif</li> </ul> <p><em>Sipyloidea sipylus:</em></p> <ul> <li>tube voltage = 29 kV</li> <li>ube current = 200 μA</li> <li>target = tungsten</li> <li>no filter</li> <li>total sample rotation = 360°</li> <li>angular step size = 0.2°</li> <li>exposure time = 1900 ms</li> <li>binning = 1x1</li> <li>averaging = 7</li> <li>random movement = 15 px</li> <li>voxel size = 1.8 μm</li> <li>fixation: Bouin's solution (24 hours)</li> <li>staining: 0.3% PTA (21 days)</li> <li>storage: 70% EtOH</li> <li>surrounding medium in scan: 70% EtOH</li> <li>filenames: Sipyloidea_sipylus_T1.tif; Sipyloidea_sipylus_T2.tif</li> </ul>
Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies
<p>This repository contains the data released in the paper "Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies" <em>(DOI to follow on publication).</em></p> <p>We release detailed morphology catalogues, both volunteer and automated, for Galaxy Zoo DECaLS.</p> <p>- gz_decals_volunteers_1_and_2 contains volunteer classifications for galaxies classified during the GZD-1 and GZD-2 campaigns.</p> <p>- gz_decals_volunteers_5 similarly contains classifications from the GZD-5 campaign. Note that GZD-5 used a modified schema designed to better detect mergers and weak bars, and includes many galaxies with only approx. five volunteer responses.</p> <p>- gz_decals_auto_posteriors contains the predicted posteriors for volunteer responses to all galaxies used in any campaign. The full posteriors are recorded as Dirichlet distribution concentrations. gz_decals_auto_posteriors also summarises these posteriors as the automated equivalent of previous Galaxy Zoo data releases;<strong> the expected vote fractions (mean posteriors)</strong>. Note that not all posteriors/vote fractions are relevant for every galaxy; we suggest assessing relevance using the estimated fraction of volunteers that would have been asked each question.</p> <p>We include a schema document, schema.md, to define the column names in each catalogue.</p> <p>We also release the galaxy images shown to volunteers on www.galaxyzoo.org during GZD-5. The images on which the automated classifier was trained may be derived from these volunteer-facing images. These images are split into four zip files, each of which contains images named by iauname inside a subfolder named by the first four characters in their iauname. Not all images were labelled during GZD-5 - refer to the catalog for training labels. We are working with the Zenodo team to add these large files to this repository - meanwhile, you can download them from The University of Manchester <a href="https://docs.google.com/document/d/1YgpnxiSJ7ffOW6FY8pX0pw93LTu8rLIdPL2PYhxW1fo/edit?usp=sharing">here</a>.</p> <p>The .csv and .parquet files contain identical data. Parquet is a fast column-oriented binary format which can be read with pd.read_parquet(loc, columns=[some columns]).</p> <p>You may also be interested in the <a href="https://github.com/mwalmsley/zoobot">github repository</a> which contains code to reproduce the model and to fine-tune it for new tasks (including pretrained weights).</p> <p>We will release updates if needed via Zenodo versioning. We recommend using the latest version of this repository. You can check the version you are currently viewing on the right-hand sidebar.</p> <p>Please cite the paper (DOI to follow on publication) when using the data in this repository.</p> <p>---</p> <p>History</p> <p>v0.0.1 (submission) provides the catalog files.</p> <p>v0.0.2 (first revision) renames the catalog files, adds flags for poorly sized galaxies, and includes the galaxy images via the University of Manchester</p>
RCSED - A Value-Added Reference Catalog of Spectral Energy Distributions of 800,299 Galaxies in 11 Ultraviolet, Optical, and Near-Infrared Bands: Morphologies, Colors, Ionized Gas and Stellar Populations Properties
<p>We present RCSED, the value-added Reference Catalog of Spectral Energy Distributions of galaxies, which contains homogenized spectrophotometric data for 800,299 low and intermediate redshift galaxies (0.007 < z < 0.6) selected from the Sloan Digital Sky Survey spectroscopic sample. Accessible from the Virtual Observatory (VO) and complemented with detailed information on galaxy properties obtained with the state-of-the-art data analysis, RCSED enables direct studies of galaxy formation and evolution during the last 5 Gyr. We provide tabulated color transformations for galaxies of different morphologies and luminosities and analytic expressions for the red sequence shape in different colors. RCSED comprises integrated k-corrected photometry in up-to 11 ultraviolet, optical, and near-infrared bands published by the GALEX, SDSS, and UKIDSS wide-field imaging surveys; results of the stellar population fitting of SDSS spectra including best-fitting templates, velocity dispersions, parameterized star formation histories, and stellar metallicities computed for instantaneous starburst and exponentially declining star formation models; parametric and non-parametric emission line fluxes and profiles; and gas phase metallicities. We link RCSED to the Galaxy Zoo morphological classification and galaxy bulge+disk decomposition results by Simard et al. We construct the color-magnitude, Faber-Jackson, mass-metallicity relations, compare them with the literature and discuss systematic errors of galaxy properties presented in our catalog. RCSED is accessible from the project web-site and via VO simple spectrum access and table access services using VO compliant applications. We describe several SQL query examples against the database. Finally, we briefly discuss existing and future scientific applications of RCSED and prospectives for the catalog extension to higher redshifts and different wavelengths.</p>
Systemic Treatment with Cigarette Smoke Extract Affects Zebrafish Visual Behaviour, Intraocular Vasculature Morphology and Outer Segment Phagocytosis
<p>Underlying dataset and analysis tests of the results described in the article "Systemic Treatment with Cigarette Smoke Extract Affects Zebrafish Visual Behaviour, Intraocular Vasculature Morphology and Outer Segment Phagocytosis".</p>
Between syntax and morphology: German noun+verb units (Glossa)
<p><strong>This dataset accompanies a paper to be published in Glossa. Under the present DOI, all data generated for this research as well as all scripts used are stored. The paper itself is CC-licensed, refer to glossa-journal.org.</strong></p><p><strong>Abstract</strong></p><p>We show that graphemic variation—at least in some writing systems—can be analysed in terms of grammatical variation given a usage-based probabilistic view of the grammar-graphemics interface. Concretely, we examine a type of noun+verb unit in German, which can be written as one word or two. We argue that the variation in writing is rooted in the units' ambiguous status in between morphology (one word) and syntax (two words). The major influencing factors are shown to be the semantic relation between the noun and the verb (argument or oblique relation) and the morphosyntactic context. In prototypically nominal contexts, a re-interpretation of the unit as a noun+noun compound is facilitated, which favours spelling as one word, while in prototypically verbal contexts, a syntactic realisation and consequently spelling as two words is preferred. We report the results of two large-scale corpus studies and a controlled production experiment to corroborate our analysis.</p>
Supporting Data - Taxonomic reassessment of Tetrapygus niger (Arbacioida, Echinoidea): molecular and morphological evidence support its placement in Arbacia
<p>This dataset contains the accession numbers and links of the sequences of the specimens analyzed by this work, other sequences used for the analyses can be found in the original article. The species from which the sequences were extracted are: Tetrapygus niger Molina, 1782; Arbacia dufresnii Blainville, 1825; Arbacia spatuligera Valenciennes, 1846 and Coelopleurus floridanus A. Agassiz, 1872. The accession numbers for the Cytochrome Oxidase subunit I (COI) and 28S of the nuclear genome are presented separately.</p><p>In addition, the morphological data of Tetrapygus niger (Test diameter, test height and peristome diameter) presented in this study are shown, as well as their collectors, corresponding collection, country and locality.</p>
Dataset for Uzbek Morphological Analyzer
<p>The "Dataset for Uzbek Morphological Analyzer" is a valuable linguistic resource designed to facilitate robust morphological analysis in the Uzbek language. This curated dataset comprises a comprehensive collection of inflectional endings found in various texts, encompassing words from books and news platforms to ensure diversity and contextuality.</p> <p>Each entry in the dataset is annotated, providing detailed information on the inflectional morphemes' characteristics, such as tense, gender, plural, singular, case, and person. Rigorous manual verification ensures accurate division of inflectional endings from their respective words, guaranteeing the dataset's reliability and usefulness.</p> <p>The dataset's primary purpose is to support natural language processing tasks, including morphological analysis, part-of-speech tagging, lemmatization, and language modeling. Researchers and developers can leverage this resource to develop advanced algorithms, improve linguistic applications, and deepen their understanding of the Uzbek language's morphological structure.</p> <p>To foster collaboration and knowledge exchange, the dataset is made publicly available with comprehensive documentation, enabling other researchers to replicate and build upon the work. It is anticipated that this dataset will significantly contribute to advancements in Uzbek language processing and foster new avenues of linguistic research in the field of morphological analysis.</p>
Optical properties of marine aerosols with varying water content at wavelengths 532 and 1064 nm, modelled with a morphologically realistic aerosol model
<p>The data contain computational results obtained with the ADDA program at wavelengths 532 nm and 1064 nm, for particle sizes 0.04, 0.06, ..., 1.5 micrometers (where size = volume-equivalent dry radius), and for salt mass fractions 0.91, 0.94, 0.97, 1.00. The content of the data files is described in the README file.</p>
MRI Neonatal Lung Segmentation and 3D Morphologic Features
<p>We developed an ensemble of deep convolutional neural networks (2D-UNets) to perform automated neonatal lung segmentation from MRI sequences. A three-dimensional reconstruction is used to calculate MRI features for lung volume, shape, pixel intensity, and surface.</p> <p>In addition, ML Models for severity prediction of Bronchopulmonary Dysplasia (BPD) are implemented as an applied example of the use of MRI lung volumetric features for disease prognosis.</p> <p>This dataset comprises:</p> <ul> <li>Three pretrained 2D-UNet Models for Neonatal MRI Lung Segmentation.</li> <li>Resulting performances and features per MRI-sequence.</li> </ul> <p>See Publication:</p> <p>Automated MRI Lung Segmentation and 3D Morphologic Features for Quantification of Neonatal Lung Disease (2023)</p> <p><a href="https://doi.org/10.1148/ryai.220239">https://doi.org/10.1148/ryai.220239</a></p>
Meshing of Spiny Neuronal Morphologies using Union Operators
<p>Resulting datasets of the conference paper "<em>Meshing of Spiny Neuronal Morphologies using Union Operators</em>". The paper is published in 2022 in EG UK Computer Graphics & Visual Computing (2022).</p> <p><a href="https://doi.org/10.2312/cgvc.20221168">DOI: 10.2312/cgvc.20221168</a></p> <p>The dataset consists of the resulting meshes of a set of exemplar neurons created using the union-operator-based meshing algorithm that is described in the paper. </p>
Ecological, flowering phenology, morphological and seed production of three sympatric dioecious Chamaedorea palms from Costa Rica
<p>The data in the file was used to estimate the factors shaping seed production in three sympatric dioecious Chamaedorea palms in Costa Rica during the 2011-2012 season. The file contains the following fields:</p> <ol> <li>Species. The name of the species: C. costaricana, C. macrospadix and C. tepejilote</li> <li>ID. Identifier for each studied individual female plant.</li> <li>infl. Identifier for each sampled inflorescence from each sampled female.</li> <li>census.date: flowering date of each inflorescence.</li> <li>days.since.oct14: number of days since the first Chamaedorea inflorescence flowered.</li> <li>days.since.1st.flr: number of days since the first Chamaedorea inflorescence of each species flowered.</li> <li>sync.costa: flowering overlap with C. costaricana males.</li> <li>sync.macro: flowering overlap with C. macrospadix males.</li> <li>sync.tepe: flowering overlap with C. tepejilote males.</li> <li>neartest.female: distance to the nearest synchronously flowering <span>conspecific </span>female.</li> <li>male.5m: number of synchronously flowering <span>conspecific </span>male individuals in a 5m radius</li> <li>male.10m: number of synchronously flowering <span>conspecific </span>male individuals in a 10m radius</li> <li>female.5m.edco: number of synchronously flowering <span>conspecific </span>female individuals in a 5m radius, after applying Ripley's (1977) edge correction.</li> <li>female.10m.edco: number of synchronously flowering <span>conspecific </span>female individuals in a 10m radius, after applying Ripley's (1977) edge correction.</li> <li>male.5m.edco: number of synchronously flowering <span>conspecific </span> male individuals in a 5m radius, after applying Ripley's (1977) edge correction.</li> <li>male.10m.edco: number of synchronously flowering <span>conspecific </span>male individuals in a 10m radius, after applying Ripley's (1977) edge correction.</li> <li>no.stems: specific for C. costaricana, number of stems per individual.</li> <li>height: height of the flowering stem in cm.</li> <li>leaves: number of leaves of the flowering stem</li> <li>leaflets: number of leaflets of the youngest leaf of the flowering stem</li> <li>leaf.rachis: length in cm of the youngest leaf of the flowering stem</li> <li>floral.rachis: length in cm of the inflorescence's rachis</li> <li>peduncle: length in cm of the inflorescence's peduncle</li> <li>no.spikes: number of spikes of the inflorescence</li> <li>no.flowers: number of flowers per inflorescence</li> <li>no.fruits: number of single-seeded fruits per inflorescence</li> </ol>
Supplementary videos for "A second fossil species of the enigmatic rove beetle genus Charhyphus in Eocene Baltic amber, with implications on the morphology of the female genitalia (Coleoptera: Staphylinidae: Phloeocharinae)"
<p><strong>Original figures used in this study:</strong></p> <p>The holotype of <em>Charhyphus serratus </em>sp. nov. and four extant <em>Charhyphus </em>species.</p> <p> </p> <p><strong>Supplementary Videos 1–3:</strong></p> <p><strong>Supplementary Videos 1</strong> <em>Charhyphus serratus </em>sp. nov., 001 DUBC, holotype, habitus, movie of X-ray micro-CT volume renderings.</p> <p><strong>Supplementary Videos 2</strong> <em>Charhyphus serratus </em>sp. nov., 001 DUBC, holotype, habitus, movie of X-ray micro-CT volume renderings using different parameters from Supplementary Videos 1.</p> <p><strong>Supplementary Videos 3</strong> <em>Charhyphus serratus </em>sp. nov., 001 DUBC, holotype, female genitalia, movie of X-ray micro-CT volume renderings.</p>
Neogene–Quaternary uplift and landscape evolution in northern Greenland recorded by subglacial valley morphology: Datasets
<p>This dataset contains a csv file of subglacial valley morphology derived from radio-echo sounding datasets in northern Greenland, and an ESRI shapefile of the interpreted channel network. For further documentation of the data please view the README.txt file.</p> <p>RADAR-DERIVED VALLEY MORPHOLOGY</p> <ul> <li><strong>northern_Greenland_valley_morphology.csv</strong>: location and morphology of subglacial valleys in northern Greenland, as imaged by airborne radio-echo sounding datasets.</li> </ul> <p>SUBGLACIAL VALLEY NETWORK</p> <ul> <li><strong>northern_Greenland_valley_network.shp (and ancillary files: .cpg, .dbf, .prj, .qpj, .shx)</strong>: ESRI shapefile of the interpreted valley network in the northern Greenland subglacial drainage catchment.</li> </ul>
Data set for "Axonal and dendritic morphology of excitatory neurons in layer 2/3 mouse barrel cortex imaged through whole-brain two-photon tomography and registered to a digital brain atlas"
<p>Data set for: Liu Y, Foustoukos G, Crochet S and Petersen CCH (2022) Axonal and dendritic morphology of excitatory neurons in layer 2/3 mouse barrel cortex imaged through whole-brain two-photon tomography and registered to a digital brain atlas. Front Neuroanat 15: 791015. https://doi.org/10.3389/fnana.2021.791015</p> <p>There are 2 files in this upload:</p> <p>1. The file named "<strong>2022_Liu_FrontNeuroanat.pdf</strong>" is the Open Access pdf of the online publication in Frontiers in Neuroanatomy.</p> <p>2. The file named "<strong>Liu_data_code.zip</strong>" (~1 GB) is a zipped version of a folder ‘<em>Liu_data_code</em>’, which contains the data analyzed in the study along with the Python codes used to generate the published figures. The original high resolution image stacks obtained through whole-brain two-photon serial tomography are unfortunately too large for Zenodo, and only highly-downsampled data are included in this upload, which were used for registration with the Allen CCFv3. Instructions on how to view and analyse the anatomical data are provided in the 'README.docx' file, which you will find upon unzipping the folder.</p> <p> </p>
Impact of Meteorological Factors on the Mesoscale Morphology of Cloud Streets during a Cold Air Outbreak over the western North Atlantic
<ul> <li>Supporting datasets for paper "Impact of Meteorological Factors on the Mesoscale Morphology of Cloud Streets during a Cold Air Outbreak over the western North Atlantic". </li> <li>Those are a subset of the (analyzed) datasets from WRF control simulation "ERA5" in netcdf format. See manuscript for more details. <ul> <li>cld_size.nc: cloud object size</li> <li>cld_ort_2020-03-01_15_00_00.nc: cloud object at 15:00 UTC</li> <li>hydro-02-2020-03-01_15/00/00.nc: water path sample data at 15:00 UTC</li> <li>wrfout_d02_2020-03-01_15/00/00: wrf output sample data at 15:00 UTC</li> </ul> </li> </ul>
Potential Metabolic Activity, Catalase Activity, Performance traits and Morphological variables of 94 individuals belonging to Podarcis muralis species used in the analysis
<p>Potential Metabolic Activity (ETS26_P, ETS31_P, ETS36_P), Catalase Activity (CAT_P), Performance traits (BITE, SPRINT,CLIMB, MANO) and Morphological variables (snout-vent length (SVL), trunk length (TRL), pileus length (PL), head length (HL), head width (HW), head height (HH), fore limb length (FLL) and hind limb length (HLL) of 94 individuals belonging to <em>Podarcis muralis</em> species. The data was used in the analysis of the paper entitled: Is It Function or Fashion? An Integrative Analysis of Morphology, Performance, and Metabolism in a Colour Polymorphic Lizard, by authors Verónica Gomes, Anamarija Žagar, Guillem Pérez i de Lanuza, Tatjana Simčič and Miguel A. Carretero, published in the journal Diversity 2022, 14, 116. <a href="https://doi.org/10.3390/d14020116">https://doi.org/10.3390/d14020116</a></p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.