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.
718
datasets available to search
ShareScore release 0.9.0
Dataset results
718 results for “Crown”
Crown Geometry Measurements of 14 Species in the CTFS-ForestGEO Plot at Harvard Forest 2013
Tree crown geometry and height, especially when coupled with remotely sensed data, can aid in the characterization of tree and forest structure. In this study, we collected crown geometry data (tree height, crown radius, and crown depth) in order to develop mixed-effects model allometric equations. We leveraged the already existing Center for Tropical Forest Science (CTFS) and Smithsonian Institute’s Forest Global Earth Observatory (ForestGEO) MegaPlot on Prospect Hill at Harvard Forest, Massachusetts to apply allometric equations. In total, we sampled 374 trees across 14 species. Developed allometry was applied to 2014 CTFS-ForestGEO census data to develop allometric canopy height models, which were compared to a lidar canopy height model acquired by NASA’s G-LiHT.
UAV time series and tree crowns
<p>This dataset contains:</p><p>-A UAV time series of mosaicked images of a woodland in Northeast UK. Complete detaisl are given in: "Elias Fernando Berra, Rachel Gaulton, Stuart Barr, Assessing spring phenology of a temperate woodland: A multiscale comparison of ground, unmanned aerial vehicle and Landsat satellite observations, Remote Sensing of Environment, Volume 223, 2019, Pages 229-242, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2019.01.010." </p><p>-Manual (reference) and automatic delinetaed tree crowns for the area covered by the UAV time series data. Complete details in: Elias F. Berra. Individual tree crown detection and delineation across a woodland using leaf-on and leaf-off imagery from a UAV consumer-grade camera. Journal of Applied Remote Sensing, Vol. 14, Issue 3, 034501 (July 2020). https://doi.org/10.1117/1.JRS.14.034501</p>
Crown Traits of Broadleaf Deciduous Trees at NEON Forest Sites (2018-2022)
Using NEON Airborne Observation Platform (AOP) measurements collected in 2018-2022 from nine broadleaf deciduous NEON forest sites, we quantified a broad suite of structural metrics and spectral reflectance indices for 305 tree crowns that were delineated in the field by NEON and met our data quality criteria. For each tree crown, we used 1-m^3 voxelated AOP LiDAR data to compute structural metrics, including plant area index (PAI), leaf area index (LAI), top rugosity, maximum canopy height (MAXCH), mean outer canopy height (MOCH), rumple, accumulative plant area density and accumulative LiDAR intensity at multiple tree heights. We used AOP imaging spectrometer to compute several spectral indices, including NDVI, NIRv, EVI, NDWI and chlorophyll index of red edge/green. The data are suitable for ecophysiological studies at tree crown and/or species level. The broad spatial extent allows for the exploration of variability in structure and function of common north American tree species across wide environmental gradients.
Effects of crown gall disease on natural microbiota of Vitis vinifera - genome annotations
<p>Young grapevines (Vitis vinifera) frequently die due to the crown gall (CG) disease induced by the plant pathogen Allorhizobium vitis (Rhizobiaceae). Virulent members of A. vitis harbour a tumor-inducing (Ti) plasmid and cause formation of CGs due to genes encoded on the T-DNA. Expression of the oncogenes by transformed host cells induce cell proliferation, metabolic and physiological changes. The CG produces opines uncommon to plants, which provide an important nutrient source for A. vitis harbouring opine catabolism enzymes. CGs host a defined bacterial community and the mechanisms establishing a CG-specific bacterial community are currently unknown. Thus, we were interested in whether genes homologous to those of the Ti-plasmid coexist in the genomes of the microbial species coexisting in CGs. We isolated eight bacterial strains from grapevine CGs, sequenced their genomes and tested their virulence and opine utilization ability in bioassays. In addition, the eight genome sequences were aligned to the sequences of a Ti-plasmid and seven published bacterial genomes, including closely related plant associated bacteria but not from CGs. Homologous genes for virulence and opine anabolism were only present in the virulent Rhizobiaceae. By contrast, homologs of the opine catabolism genes were present in all strains including the non-virulent members of the Rhizobiaceae and non-Rhizobiaceae, indicating horizontal gene transfer of the opine degradation cluster from virulent to non-virulent strains. These results along with those of the opine utilization assay support the important role of opine utilization for co-colonization of virulent and non-virulent bacteria in CGs, thereby shaping the CG community.</p> <p>This dataset contains the prokka annotations of the genomes as used in "Opportunistic bacteria of grapevine crown galls are equipped with the genomic repertoire for opine utilization"</p>
Der königlich sächsische Hausorden der Rautenkrone. Genese, Verfasstheit und Verleihungspraxis eines Hausordens des 19. Jahrhunderts (The Royal Saxon House Order of the Rue Crown. Origin, constitution and award practice of a house order of the 19th century.)
<p>This data set was produced as part of a <a href="https://www.academia.edu/86314498/Der_königlich_sächsische_Hausorden_der_Rautenkrone_Genese_Verfasstheit_und_Verleihungspraxis_eines_Hausordens_des_19_Jahrhunderts">bachelor's thesis on the Royal Saxon House Order of the Rue Crown</a> (<em>Orden der Rautenkrone</em>) at the University of Greifswald. The thesis examines the award practices of the Grand Masters of the Order and attempts to draw conclusions about social circumstances. </p> <p>For the work, a data set was created that includes all knights of the Order of the Rue Crown in the period from 1807 to 1918. The names of the beloved were expanded to include a standardised name (GND) and their life data, GND/Wikidata identifier and main geographical affiliation as well as rank and profession. </p> <p>The data here are provided as Numbers and Excel files. Furthermore, the individual tables have been exported into CSV format (Note: in Excel, the CSV files may be displayed incorrectly despite UTF-8 encoding - especially with special characters and umlauts)</p> <p>The dates are not yet completely accurate. For example, in the case of the standardised names, since the persons concerned may have received the corresponding status (king, etc.) only later after the award. The data sets are in constant development. If you have additional information about an entry or have discovered an error, please feel free to contact me. </p>
Supplementary datasets for manuscript titled: Seasonal tissue-specific gene expression in wild crown-of-thorns starfish reveals reproductive and stress-related transcriptional systems
<p>Supplementary datasets for manuscript titled: Seasonal tissue-specific gene expression in wild crown-of-thorns starfish reveals reproductive and stress-related transcriptional systems</p>
Point clouds from terrestrial laser scanning from crowns of individual Scots pine trees
<p>Trees adapt to their growing conditions by regulating the sizes of their parts and their relationships. For example, removal or death of adjacent trees increases the growing space and the amount of light received by the remaining trees enabling their crowns to expand. Knowledge about the effects of silvicultural practices on crown size and shape as well as about the quality of branches affecting the shape of a crown is, however, still limited. Laser scanning (or Light detecting and ranging LiDAR) has provided new opportunities for characterizing trees in more detail in three-dimensional space. Especially terrestrial laser scanning (TLS) has increasingly been used in producing a variety of tree attributes. This data set includes 3D reconstruction of crowns of Scots pine (<em>Pinus sylvestris</em> L.) trees from sample plots with different thinning treatments. The thinning treatments include two intensities of thinning, three thinning types as well as control (i.e. no thinning treatment since the establishment). This data set can be used in developing point cloud processing algorithms for single tree crown characterization and for investigating variation in crown size and shape as well as the effects of various thinning treatments on crown size and shape of Scots pine trees grown in boreal forests.</p>
Outputs of the Jupyter Notebook - Tree crown detection using DeepForest
<p>The dataset contains the outputs of the notebook "Tree crown detection using DeepForest" published in The Environmental Data Science Book.</p> <p><strong>Contributions</strong></p> <p><em>Notebook</em></p> <ul> <li> <p>Alejandro Coca-Castro (author), The Alan Turing Institute, <a href="https://github.com/acocac">@acocac</a></p> </li> <li> <p>Matt Allen (reviewer), Department of Geography - University of Cambridge, <a href="https://github.com/mja2106">@mja2106</a></p> </li> </ul> <p><em>Modelling codebase</em></p> <ul> <li> <p>Ben Weinstein (maintainer & developer), University of Florida, <a href="https://github.com/bw4sz">@bw4sz</a></p> </li> <li> <p>Henry Senyondo (support maintainer), University of Florida, <a href="https://github.com/henrykironde">@henrykironde</a></p> </li> <li> <p>Ethan White (PI and author), University of Florida, <a href="https://github.com/ethanwhite">@weecology</a></p> </li> <li> <p>Other contributors are listed in the <a href="https://github.com/weecology/DeepForest/graphs/contributors">GitHub repo</a></p> </li> </ul> <p><em>Modelling publications</em></p> <ul> <li> <p>Ben G Weinstein, Sergio Marconi, Mélaine Aubry-Kientz, Gregoire Vincent, Henry Senyondo, and Ethan P White. Deepforest: a python package for rgb deep learning tree crown delineation. <em>Methods in Ecology and Evolution</em>, 11:1743–1751, 2020. URL: <a href="https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/2041-210X.13472">https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/2041-210X.13472</a>, <a href="https://doi.org/https://doi.org/10.1111/2041-210X.13472">doi:https://doi.org/10.1111/2041-210X.13472</a>.</p> </li> <li> <p>Ben G Weinstein, Sergio Marconi, Stephanie Bohlman, Alina Zare, and Ethan White. Individual tree-crown detection in rgb imagery using semi-supervised deep learning neural networks. <em>Remote Sensing</em>, 2019. URL: <a href="https://www.mdpi.com/2072-4292/11/11/1309">https://www.mdpi.com/2072-4292/11/11/1309</a>, <a href="https://doi.org/10.3390/rs11111309">doi:10.3390/rs11111309</a>.</p> </li> <li> <p>Ben G Weinstein, Sergio Marconi, Stephanie A Bohlman, Alina Zare, and Ethan P White. Cross-site learning in deep learning rgb tree crown detection. <em>Ecological Informatics</em>, 56:101061, 2020. URL: <a href="https://www.sciencedirect.com/science/article/pii/S157495412030011X">https://www.sciencedirect.com/science/article/pii/S157495412030011X</a>, <a href="https://doi.org/https://doi.org/10.1016/j.ecoinf.2020.101061">doi:https://doi.org/10.1016/j.ecoinf.2020.101061</a>.</p> </li> </ul>
Outputs of the Jupyter Notebook - Tree crown delineation using detectreeRGB
<p>The dataset contains the outputs of the notebook "Tree crown detection using DeepForest" published in The Environmental Data Science Book.</p> <p><strong>Contributions</strong></p> <p><em>Notebook</em></p> <ul> <li>Sebastian H. M. Hickman (author), University of Cambridge, <a href="https://github.com/shmh40">@shmh40</a></li> <li>Alejandro Coca-Castro (reviewer), The Alan Turing Institute, <a href="https://github.com/acocac">@acocac</a></li> </ul> <p><em>Modelling codebase</em></p> <ul> <li>Sebastian H. M. Hickman (author), University of Cambridge <a href="https://github.com/shmh40">@shmh40</a></li> <li>James G. C. Ball (contributor), University of Cambridge <a href="https://github.com/PatBall1">@PatBall1</a></li> <li>David A. Coomes (contributor), University of Cambridge</li> <li>Toby Jackson (contributor), University of Cambridge</li> </ul>
Lapland longspur and Gambel's white crowned sparrow egg and nestling survival near Toolik Field Station, Alaska, summers 2012-2016
This data set contains information about the daily status (alive/ dead) of Lapland longspur and Gambel's white-crowned sparrow eggs and nestlings studied near Toolik Field Station from 2012 to 2016 under National Science Foundation (NSF) Office of Polar Programs ARC 0908444 (to Laura Gough), ARC 0908602 (to Natalie Boelman), and ARC 0909133 (to John Wingfield). It is associated with publication DOI: 10.1111/jav.01712.
Autumn departure from breeding site (date and time) in Gambel's white crowned sparrows near Toolik Field Station, Alaska, summers 2014-2016
This data set contains information about an automated radio-telemetry study conducted near Toolik Field Station examining the date that adult male and female Gambel's white-crowned sparrows (Zonotrichia leucophrys gambelli) depart the breeding site relative to the timing of breeding and sunrise/ sunset. It was funded, in part, through ARC 0909133 (to John Wingfield) and ARC 1147289 (to Marilyn Ramenofsky). It is associated with publication: https://doi.org/10.1007/s10336-020-01754-z.
Pinon-Juniper Dendrometer, Height, and Crown Area Measurements at Cerro Montosa, Sevilleta National Wildlife Refuge, New Mexico (2006-2009)
Allometry is a standard method of determining biomass and Net Primary Production of many trees. One of the standard variables used in such allometric regressions is bole diameter. On straight trunk trees measurements at breast height (DBH) taken using a DBH tape is adequate for quantifying changes in diameter over time. However, in scrub forests such as the Pinon Juniper PJ woodlands, common on the Sevilleta, both the pinon and particularly the junipers are relatively short and multi-trunked so that measurements must be taken near the ground and the consistency between measurements often lead to erroneous growth analysis. To reduce such discrepancy in readings, dendrometer bands were installed on 20 pinons and 20 junipers in the Cerro Montoso area where understory ANPP has been measured for some time. These dendrometers quantify the expansion (and contraction) of the tree bole through time. The beginning diameter at the time of installation was also measured and recorded. Heights of the 40 trees were also measured. The diameter of the foliage was measured across these trees at the widest point and then again on an axis perpendicular to this first reading. Readings of the dendrometers are repeated on about a monthly basis through the growing season. Heights of the trees are done on an annual basis. Measurements are collected to quantify the increase in bole diameter for a set of Pinons and Junipers in this area over time.
Data of Cerrado´s Tree Crown Networks
<p>Information about the architecture of the woody crown obtained through representations in the form of a network (graphs). The essential components of these networks are nodes and connectors. Decomposition, topology, and properties calculated for analyzing the strategies of crown airspace acquisition in any environment. The networks represented in a two-dimensional space follow the general laws of network theory, but with specific meanings for the crown architecture. Thus, a dataset generated and included information about five individuals from fifteen tree species growing under the natural conditions of the Cerrado vegetation. We presented the types and the total number of nodes. Initial node (IN) was the node that starts the network, regular node (RN) was the vast majority of nodes with three connectors. Emission node (EN) showed four connectors, and the final node (FN) was the last in leafy axes. There are data about the distances between the initial and final nodes (IN-IF), and initial and emission nodes (IN-IE). Decomposition and topological combinations permitted to disclose the properties (navigability, vulnerability, symmetry, and complexity). The data presented can be used by researchers from all over the world in works that investigate the behavior of networks in biological systems, in addition to the specific applications of studies of functional ecology and plant ecophysiology. We obtained the data directly from a skeletonized representation of the woody crown in a two-dimensional space in the form of a drawing. Subsequently, the nodes counted, and their proportions (decomposition), the distances between the different types of nodes (topology), and the values of network properties (the combination of decomposition and topology) obtained.</p>
Figure 7 in Additions to the British list of Megaselia Rondani (Diptera: Phoridae), including two new species, from the crowns of ancient pollarded trees
Figure 7. Megaselia russellsmithi male, hypopygium. (A) Left face; (B) right face (minus penis complex). Scale bar: 0.1 mm.
Figure 22 in Additions to the British list of Megaselia Rondani (Diptera: Phoridae), including two new species, from the crowns of ancient pollarded trees
Figure 22. Megaselia veluitinicavus male. (A) Left face of hypopygium; (B) tips of right paraphysis and posteroventral region of epandrium; (C) anterior face of hind basitarsus; (D) the internal hairy cavity of the hind basitarsus (anterior focal plane). Scale bars: 0.1 mm.
Figure 8 in Additions to the British list of Megaselia Rondani (Diptera: Phoridae), including two new species, from the crowns of ancient pollarded trees
Figure 8. Megaselia russellsmithi female, details of abdomen. (A) Tergites 5–7; (B) sternite 7 and lobes at rear of sternum 8; (C) right cercus. Scale bars: 0.1 mm.
Figure 4 in Additions to the British list of Megaselia Rondani (Diptera: Phoridae), including two new species, from the crowns of ancient pollarded trees
Figure 4. Megaselia henrydisneyi male, hypopygium. (A) Left face; (B) right face. Scale bar: 0.1 mm.
Figure 1 in Additions to the British list of Megaselia Rondani (Diptera: Phoridae), including two new species, from the crowns of ancient pollarded trees
Figure 1. Megaselia crassipes male. (A) Posterior face of front tarsus; (B) left face of hypopytgium. Scale bar: 0.1 mm.
Figure 10 in A new species of crown-antlered deer Stephanocemas (Artiodactyla, Cervidae) from the middle Miocene of Qaidam Basin, northern Tibetan Plateau, China, and a preliminary evaluation of its phylogeny
Figure 10. Species ranges, phyletic relationship, and zoogeographical positions of the Paradicrocerus–Stephanocemas clade. Most of the species ranges are approximate. Phyletic relationship is based on one of the shortest trees in our cladistic analysis, and some indeterminate taxa not included in the cladogram are inserted here based on our estimates of their relationships. The antlers are scaled to their approximate relative size, and dashed lines are mostly our own reconstructions of missing tines.
Figure 9 in A new species of crown-antlered deer Stephanocemas (Artiodactyla, Cervidae) from the middle Miocene of Qaidam Basin, northern Tibetan Plateau, China, and a preliminary evaluation of its phylogeny
Figure 9. Strict consensus of four shortest trees (tree length = 12) of the Paradicrocerus–Stephanocemas clade found by the branch and bound option of the PAUP program on a ten taxa ¥ nine characters data matrix (Table 1).
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.