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.
3,105
datasets available to search
ShareScore release 0.9.0
Dataset results
3,105 results for “Vegetation =”
Figure 3 from: Almeida RF, Guesdon IR, Pace MR, Meira RMS (2019) Taxonomic revision of Mcvaughia W.R.Anderson (Malpighiaceae): notes on vegetative and reproductive anatomy and the description of a new species. PhytoKeys 117: 45-72. https://doi.org/10.3897/phytokeys.117.32207
Figure 3 Leaf morphoanatomy of Mcvaughia species. A patterns of leaf glands distribution on the abaxial leaf surface of M.bahianaB patterns of leaf glands distribution on the abaxial leaf surface of M.piauhiensisC patterns of leaf glands distribution on the abaxial leaf surface of M.sergipanaD transverse section of leaf base showing the basilaminar pair of stalked glands (white arrows) E basilaminar leaf gland with a stalk (black arrow) in M.piauhiensisF basilaminar gland in M.sergipana showing a sessile position (SE= anatomical arrangement with secretory epidermis, SP= vascularized secretory parenchyma) G–H laminar glands on the apex of cleared leaves of M.sergipana and M.bahiana respectively, note the apical tooth (G) I sessile laminar glands in M.sergipanaJ stalked laminar gland in M.piauhiensisK–L transverse sections of the leaf blade; mesophyll with uniserial palisade-like parenchyma and spongy parenchyma composed by several or few layers in M.sergipana and M.bahiana, respectively; note the idioblast with druse crystals at the mesophyll (white arrow) and the stomata distribution at the abaxial leaf surface (black arrow) M–N adaxial epidermis surface of M.piauhiensis and M.sergipana, showing scars of malpighiaceous trichomes O abaxial epidermis surface of trichomes abundance in M.bahianaP–Q outline of the anticlinal epidermal cell walls: straight in M.sergipana (P) and sinuous in M.bahiana (Q). Laminar scale bars: 1 cm (A–C), 100 μm (D, F–K, N–O), 150 μm (E), 50 μm (L–M, P–Q).
Figure 1 from: Almeida RF, Guesdon IR, Pace MR, Meira RMS (2019) Taxonomic revision of Mcvaughia W.R.Anderson (Malpighiaceae): notes on vegetative and reproductive anatomy and the description of a new species. PhytoKeys 117: 45-72. https://doi.org/10.3897/phytokeys.117.32207
Figure 1 Wood anatomy of Mcvaughiasergipana. A–B transverse sections: Growth rings marked by radially narrow fibers (arrowheads) and a discontinuous line of axial parenchyma (in B); vessels are narrow and abundant, arranged in radial rows of 4 or more cells; some solitary vessels present; parenchyma rare, paratracheal scanty or at the growth ring limits; heartwood vessels in the bottom with content C radial section: Rays 2–3 cells wide, non-storied; prismatic crystals present in ray cells (arrows); parenchyma with 3 cells per strand (arrowhead) D ray heterocellular with procumbent, square and upright cells mixed throughout the ray. Scale bars: 150 μm (A), 100 μm (B–C), 60 μm (D).
Figure 11 from: Almeida RF, Guesdon IR, Pace MR, Meira RMS (2019) Taxonomic revision of Mcvaughia W.R.Anderson (Malpighiaceae): notes on vegetative and reproductive anatomy and the description of a new species. PhytoKeys 117: 45-72. https://doi.org/10.3897/phytokeys.117.32207
Figure 11 Distribution map of Mcvaughia: triangle – M.bahiana, circle – M.piauhiensis, and square – M.sergipana. Solid blue line in the center represents the São Francisco River today. Dotted blue line represents the past course of São Francisco River. Blue circle represents the São Francisco paleo lake. Light green – Atlantic Forest domain, dark green – Amazon Forest domain, orange – Cerrado domain, and yellow – Caatinga domain. AL – state of Alagoas, BA – state of Bahia, CE – state of Ceará, MA – state of Maranhão, PB – state of Paraíba, PE – state of Pernambuco, PI – state of Piauí, RN – state of Rio Grande do Norte, and SE – state of Sergipe.
Figure 5 from: Almeida RF, Guesdon IR, Pace MR, Meira RMS (2019) Taxonomic revision of Mcvaughia W.R.Anderson (Malpighiaceae): notes on vegetative and reproductive anatomy and the description of a new species. PhytoKeys 117: 45-72. https://doi.org/10.3897/phytokeys.117.32207
Figure 5 Mcvaughiabahiana. A shrub habit B subshrub habit C inflorescence showing glandular bracts D inflorescence showing flowers in anthesis E inflorescence showing immature and mature fruits F detail of mature fruits G drupe indumentum H glabrescent drupe. A, D–H by W.R. Anderson B–C by I.R. Guesdon.
Figure 2 from: Almeida RF, Guesdon IR, Pace MR, Meira RMS (2019) Taxonomic revision of Mcvaughia W.R.Anderson (Malpighiaceae): notes on vegetative and reproductive anatomy and the description of a new species. PhytoKeys 117: 45-72. https://doi.org/10.3897/phytokeys.117.32207
Figure 2 Secondary phloem of Mcvaughiasergipana. A–C Transverse section: A Phloem non-stratified, with scattered fiber-sclereids (arrows); Rays dilating slightly B Crystalliferous axial parenchyma arranged in diffuse-in-aggregate narrow bands (arrowhead) C Crystalliferous axial parenchyma with druse crystals, forming diffuse in aggregate bands, isolated fiber-sclereids present (arrowhead) D A ray 3 cells wide, fiber-sclereids and axial parenchyma in tangential section E Bands of crystalliferous parenchyma with druses evident also in radial section; Rays heterocellular mixed. Scale bars: 200 μm (A), 100 μm (B–C, E), 50 μm (D).
Figure 9 from: Almeida RF, Guesdon IR, Pace MR, Meira RMS (2019) Taxonomic revision of Mcvaughia W.R.Anderson (Malpighiaceae): notes on vegetative and reproductive anatomy and the description of a new species. PhytoKeys 117: 45-72. https://doi.org/10.3897/phytokeys.117.32207
Figure 9 Mcvaughiasergipana. A sandy dune where M.sergipana occurs B detail of epipetiolar stipules C detail of leaf venation patterns D abaxial surface of a leaf E inflorescence showing buds and flowers F detail of glandular bracts G floral bud H flower in frontal view I fruit in side view. Photos by R.F. Almeida.
Figure 4 from: Almeida RF, Guesdon IR, Pace MR, Meira RMS (2019) Taxonomic revision of Mcvaughia W.R.Anderson (Malpighiaceae): notes on vegetative and reproductive anatomy and the description of a new species. PhytoKeys 117: 45-72. https://doi.org/10.3897/phytokeys.117.32207
Figure 4 Reproductive morphoanatomy of Mcvaughia species. A inflorescence during development, showing a bracteole gland (BG) and Sepal glands (SG) B ten sepal glands encircling the calyx C Petal glands (PG) along the margin of posterior petal D–F transverse section of bracteole glands in M.sergipana, M.bahiana and M.piauhiensis, respectively G anatomical arrangement of bracteole gland, with a palisade-like secretory epidermis (SE) and secretory parenchyma (SP) H–I transverse section of floral bud and anthesis flower in Mcvaughiabahiana and M.sergipana; calyx gland pair displaced at the anterior sepal J calyx gland structure, showing a secretory epidermis (SE) and vascularized secretory parenchyma (SP) K–L petal glands on the margin of petals in M.sergipana and M.bahiana respectively M–N detail of the petal glands at the apex of the petal limb in M.sergipana, cleared and in SEM image O–Q petal glands positioned at the base, M.bahiana on SEM image, M.bahiana and M.piauhiensis cleared R–T conspicuous and stalked petal glands at the base of M.sergipana, in SEM image, cleared and longitudinal section. Scale bars: 200 μm (D), 150 μm (E–F), 50 μm (G), 500 μm (H–I), 100 μm (J, P–S), 300 μm (L–M), 200 μm (N, T).
Evaluation and Enhancement of Carbon Sequestration Potential of Existing Vegetation along Roadsides
<p>Corresponding data set for Tran-SET Project No. 18HSTSA01. Abstract of the final report is stated below for reference:</p> <p>"The objectives of this study were to evaluate the vegetative composition and carbon sequestration potential of vegetation along a major roadway in Texas. Soil and vegetation were evaluated along IH-35 within Bexar County for composition and carbon content. Three 20 m transects were placed at each site and percent vegetative cover was estimated and above ground plant biomass, and soil was collected from three 0.25 m2 subplots along each transect. Plant and soil samples were analyzed for carbon content. Two non-native grasses, bermudagrass and King Ranch bluestem, were the dominant cover at all sites accounting for > 90% coverage at several sites. Native plants were rare with only one species, western ragweed, accounting for > 5% mean coverage at all sites. Carbon content of plant species was highest for bermudagrass (699 kg C ha-1) and King Ranch bluestem (401 kg C ha-1), and 6 of 7 sites contained significantly more carbon in non-native plants compared to native plants. The highest native plant carbon content was western ragweed with an average of 15 kg C ha-1. Mean soil carbon content ranged from 3.1 to 6.9 kg C m3 -1 among the sites, and significantly (P < 0.05) greater amounts of carbon were recorded in the upper 0-10 cm compared to the 10-20 cm. The photosynthesis rates of Bermudagrass were significantly greater than rates recorded for King Ranch bluestem indicating the former species is highly adapted to hot semi-arid climate of central Texas, but King Ranch bluestem may gain a competitive advantage along roadways during the spring, fall and periods of increased precipitation. The total available area for the vegetation along the IH-35 highway in Bexar County is estimated to be approximately 81.7 ha (201.5 acres). We suggest the area between sites 5 and 6 (25.1 ha; 62 acres) are ideal locations for carbon sequestration using native plant communities including those with larger diameter woody stems such as trees."</p>
Figure 6 from: Biscotti N, Bonsanto D, Viscio GD (2018) The traditional food use of wild vegetables in Apulia (Italy) in the light of Italian ethnobotanical literature. Italian Botanist 5: 1-24. https://doi.org/10.3897/italianbotanist.5.22297
Figure 6 - Cluster analysis of spontaneous species used in the eight districts of Puglia C1 Gargano C2 Tavoliere delle Puglie C3 Monti Dauni C4 Terra di Bari Murgiana C5 Terra di Bari premurgiana C6 Valle d'Itria C7 Salento C8 Arco ionico tarantino.
Figure 7 from: Biscotti N, Bonsanto D, Viscio GD (2018) The traditional food use of wild vegetables in Apulia (Italy) in the light of Italian ethnobotanical literature. Italian Botanist 5: 1-24. https://doi.org/10.3897/italianbotanist.5.22297
Figure 7 - Number of wild species used in Italian regions: in blue the taxa in Guarrera (2006b) are shown; red bars show data from the present work, based on several recent analyses of Italian Regions (2006–2017).
Figure 5 from: Biscotti N, Bonsanto D, Viscio GD (2018) The traditional food use of wild vegetables in Apulia (Italy) in the light of Italian ethnobotanical literature. Italian Botanist 5: 1-24. https://doi.org/10.3897/italianbotanist.5.22297
Figure 5 - Comparison of the biological forms of wild species used in Italy (left) and in Apulia (right), expressed as percentage. T therophyte G geophyte H hemicryptophyte CH chamephyte P phanerophyte
Figure 4 from: Biscotti N, Bonsanto D, Viscio GD (2018) The traditional food use of wild vegetables in Apulia (Italy) in the light of Italian ethnobotanical literature. Italian Botanist 5: 1-24. https://doi.org/10.3897/italianbotanist.5.22297
Figure 4 - Comparison among families of wild species used in Italy (blue) and in Apulia (red) by number.
Figure 2 from: Biscotti N, Bonsanto D, Viscio GD (2018) The traditional food use of wild vegetables in Apulia (Italy) in the light of Italian ethnobotanical literature. Italian Botanist 5: 1-24. https://doi.org/10.3897/italianbotanist.5.22297
Figure 2 - In the background the Apulian districts: Gargano (C1), Tavoliere delle Puglia (C2), Dauni Mountains for the province of Foggia (C3); Land of Bari murgiana (C4) and Terra di Bari (C5) for the province of Barletta-Andria-Trani and Bari; Valle d'Itria (C6) and Salento for the province of Brindisi and Lecce (C7); Ionic tarantine arch for the province of Taranto (C8). In the foreground red areas the study areas (15) for each district.
Model outputs: Quantitative assessment of fire and vegetation properties in historical simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project
<p>This dataset contains the fire model outputs of various variables used in the initial FireMIP benchmarking paper.</p>
Text-fig. 2. "Site screen" scheme of complete results of the IPR-vegetation analysis derived from the database. in The Integrated Plant Record Vegetation Analysis: Internet Platform And Online Application
Text-fig. 2. "Site screen" scheme of complete results of the IPR-vegetation analysis derived from the database.
Text-fig. 2 Photos of palynomorphs. AP: 1.-2. Picea (B4-2, depth 0.35 m), 3.-4. Abies (B9, depth 0.10 m, B11-3, depth 0.01 m), 5.-8. Pinus (B8, depth 0.15 m, B9, depth 0.10 m), 9.-11. Alnus (B8, depth 0.15 m, B11, depth 0.01 m), NAP: 16.-17. Asteraceae Liguliflorae (B4-2, depth 0.35 m), 18.-20. Cyperaceae (B9, depth 0.10 m, B11-3, depth 0.01 m), 21.-22. Artemisia (B8, depth 0.15 m), Pteridophyta: 23.-26. Polypodiaceae (B4-2, depth 0.35 m, B8, depth 0.15 m), 27.-28. Equisetum (B7, depth 0.20 m), 29.-30. Sphagnum (B4-2, depth 0.35 m). Photo E. Břízová. in Reconstruction Of Vegetation Development On The Floodplain Of The Litavka River In The Holocene (Central Bohemia, Brdy Mts.)
Text-fig. 2 Photos of palynomorphs. AP: 1.-2. Picea (B4-2, depth 0.35 m), 3.-4. Abies (B9, depth 0.10 m, B11-3, depth 0.01 m), 5.-8. Pinus (B8, depth 0.15 m, B9, depth 0.10 m), 9.-11. Alnus (B8, depth 0.15 m, B11, depth 0.01 m), NAP: 16.-17. Asteraceae Liguliflorae (B4-2, depth 0.35 m), 18.-20. Cyperaceae (B9, depth 0.10 m, B11-3, depth 0.01 m), 21.-22. Artemisia (B8, depth 0.15 m), Pteridophyta: 23.-26. Polypodiaceae (B4-2, depth 0.35 m, B8, depth 0.15 m), 27.-28. Equisetum (B7, depth 0.20 m), 29.-30. Sphagnum (B4-2, depth 0.35 m). Photo E. Břízová.
Vegetation Cover Pattern Detecting
Open the record for dataset details and reuse information.
Towards Enhancing Field-Based Vegetation Monitoring: A Deep Learning Approach for Species Identification and Coverage Estimation from Ground-level Imagery
<h1>🌿Species Identification and Coverage Estimation from Ground-level Imagery for Vegetation Monitoring 📷</h1> <p>This repository contains the data and code used in <a href="https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.70024"><strong>Müller, Puliti, and Breidenbach (2025)</strong></a> to train and apply deep learning models for <strong>species coverage estimation</strong> using ground-level imagery.</p> <p>It includes:<br>✅ A <strong>YOLOv8 object detection </strong>model for detecting frames in images and one <strong>species instance segmentation</strong> model for species identification and identifying and segmenting species.</p> <p>✅ Method to parse instance segmentation masks to <strong>species-specific coverage estimates</strong> in images.</p> <p>✅ The <strong>data </strong>used to train and evaluate the models</p> <p> </p> <h2>🚀 Workflow Overview</h2> <p>This demo provides a step-by-step approach for training and applying the models:</p> <p>1️⃣ <strong>Training</strong>:</p> <ul> <li>Train two models using labeled images: <ul> <li><strong>Frame Object Detection</strong> (dataset: <code>Frame_data</code>)</li> <li><strong>Species Instance Segmentation</strong> (dataset: <code>Species_segmentation_data</code>)</li> </ul> </li> </ul> <p>2️⃣ <strong>Confidence Optimization</strong>:</p> <ul> <li>Optimize the confidence threshold based on downstream <strong>cover estimation</strong> performance.</li> </ul> <p>3️⃣ <strong>Inference</strong>:</p> <ul> <li>Predict on test images (<code>Species_cover_data_test</code>).</li> </ul> <p>4️⃣ <strong>Evaluation</strong>:</p> <ul> <li>Compare predictions with <strong>field estimates</strong> (<code>Field_data_NFI</code>).</li> </ul> <p>📌 The code has been tested on <strong>Windows</strong> with <strong>Python 3.10</strong>.</p> <p> </p> <h2>🛠 How to Run the Demo</h2> <p>Follow these steps to set up and run <code>demo.ipynb</code>:</p> <div> <div> <div> </div> </div> <div> <blockquote> <p># Create a new environment<br>conda create -n VegCover python=3.10</p> <p># Activate the environment<br>conda activate VegCover</p> <p># Install dependencies<br>pip install -r requirements.txt</p> <p># Install Jupyter Lab<br>pip install jupyterlab</p> <p># Open the demo notebook<br>jupyter-lab</p> </blockquote> </div> </div> <h2> </h2> <h2>📖 How to Cite</h2> <p>If you use this work, please cite:</p> <p><strong>Müller, P., Puliti, S., & Breidenbach, J. (2025).</strong> Towards Enhancing Field-Based Vegetation Monitoring: A Deep Learning Approach for Species Coverage Estimation from Ground-Level Imagery. <em>Methods in Ecology and Evolution.</em></p> <h2> </h2> <h2>📜 License</h2> <p>This project is licensed under the <strong>GNU Affero General Public License v3.0 or later (AGPL-3.0-or-later)</strong>.</p> <p>🔹 <strong>Key points of this license:</strong></p> <ul> <li>You are free to <strong>use, modify, and distribute</strong> the software.</li> <li>If you modify and deploy this software (even as a web service), you <strong>must share your modifications</strong> under the same AGPL-3.0-or-later license.</li> <li>This ensures that improvements remain open-source and benefit the community.</li> </ul> <p>📖 Full license text: <a href="https://www.gnu.org/licenses/agpl-3.0.en.html">GNU AGPL v3.0</a></p> <div> <pre> </pre> </div>
FIGURE 7 in A revision of Mezoneuron (Leguminosae: Caesalpinioideae) in New Caledonia, with perspectives on vegetation, geology, and conservation
FIGURE 7. Distribution of M. ouenensis
FIGURE 1 in A revision of Mezoneuron (Leguminosae: Caesalpinioideae) in New Caledonia, with perspectives on vegetation, geology, and conservation
FIGURE 1. Relief map of New Caledonia, showing names of major islands (adapted from Vidiani 2015)
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.