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Fig. 5 in Vascular plant diversity of the Gogunsan Archipelago in the Korean Peninsula
Fig. 5. Dendrograms showing the degree of Sørensen similarity based on native flora data (except invasive alien plants, ruderal plants) of the Gogunsan Archipelago.
FIGURE 3 in Notes on the Vascular Flora of the Island of Príncipe (São Tomé and Príncipe) in the Gulf of Guinea
FIGURE 3 Miscellaneous vascular plants. Psilotum nudum (top), fertile plants on base of coconut palm (Daniel & Shevock 12035). Sciaphila ledermannii (bottom left), fertile plant (Daniel et al. 12085, photo by M. Nadel). Sciaphila ledermannii (bottom center), fertile plant (Daniel et al. 12084, photo by M. Nadel). Justicia secunda (bottom right), inflorescence with flowers (photo and copyright: C. Feuillet, CC BY-NC, used with permission), taken in French Guiana.
FIGURE 2 in Notes on the Vascular Flora of the Island of Príncipe (São Tomé and Príncipe) in the Gulf of Guinea
FIGURE 2. Miscellaneous Acanthaceae. Brillantaisia owariensis (left; Daniel s.n., from plants cultivated at San Francisco Conservatory of Flowers), leaf and living flowers. Dicliptera verticillata (top right), inflorescence with flower (corolla resupinate 180°; cultivated at San Francisco Conservatory of Flowers from seed of Daniel 11122 collected on São Tomé). Phaulopsis micrantha (bottom right), axillary flower (Daniel 11145, from São Tomé, field photo by W. Eckerman). Photos by the author except as noted.
Robust and Adaptive Robot Self-Assembly Based on Vascular Morphogenesis
<p>Self-assembly is the aggregation of simple parts into complex patterns as frequently observed in nature. Following this inspiration, creating programmable systems of self-assembly that achieve similar complexity and robustness with robots is challenging. As role model we pick the growth of natural plants that adapts to environmental conditions and is robust to disturbances, such as changes due to dynamic environments and cut parts. We program a robot swarm to self-assemble into tree-like shapes and to efficiently adapt to the environment. Our approach is inspired by the vascular morphogenesis of plants, that is the patterned formation of vascular tissue to transport fluids and nutrients internally. The aggregated robots establish an internal network of resource sharing, allowing them to make rational decisions collectively about where to add and where to remove robots. As an effect, the growth is adaptive to an environmental feature (here, light) and robust to changes in a dynamic environment. The robot swarm is able to self-repair by regrowing lost parts. We successfully validate and benchmark our approach in a number of robot swarm experiments showing adaptivity, robustness, and self-repair.</p>
Adaptive Path Formation in Self-Assembling Robot Swarms by Tree-like Vascular Morphogenesis
<p>For self-assembly, robot swarms can be programmed to form predefined shapes. <br> However, if the swarm is required to adapt the assembled shapes to dynamic features of the environment at runtime, then the shapes' structures need to be dynamic, too. <br> Prerequisite for adaptation is exploration and detection of changes followed by appropriate rearrangements of the assembled structure. <br> We study a self-assembling robot swarm forming trees to explore its environment and searching for bright areas. <br> The tree-formation process is inspired by the vascular morphogenesis of natural plants. <br> Detecting light produces a virtual resource shared within the tree, helping to drop useless branches while reinforcing efficient paths between bright areas and the tree root.<br> We successfully verify our self-assembly approach in several swarm robot experiments in a dynamic environment showing that the robot swarm can collectively discriminate between light sources at different distances and of different qualities.</p>
Datasets of Vascular Networks Extracted from Retinal Images of Hypertensive Retinopathy and Glaucoma Patients
<p>This dataset contains high resolution images of blood vessels extracted from Digital Retinal Images for Optic Nerve Segmentation Database (DRIONS-DB). It contains 110 blood vessels of individuals of which 23.1% are patients with chronic glaucoma while the remaining 76.9% are hypertensive retinopathy patients. </p>
Data underpinning "Coupling between cerebral blood flow and cerebral blood volume: Contributions of different vascular compartments"
<p>The data in this archive was acquired to investigate the coupling between cerebral blood flow and cerebral blood volume across different vascular compartments. These results will form the basis of a forthcoming publication. Please reference this dataset (version v1.1.0) if you use it in your work. Wesolowski R, Blockley NP, Driver ID, Francis ST, Gowland PA. Data underpinning "Coupling between cerebral blood flow and cerebral blood volume: Contributions of different vascular compartments". Zenodo 2018. doi: 10.5281/zenodo.1411018. </p> <p>This dataset contains measurements of the haemodynamic responses of different compartments to a visual stimulus (8Hz red LED goggles, 19.2s ON, 40.8s OFF). Time course data are cycle averaged for the following haemodynamic properties;</p> <ol> <li>Arterial cerebral blood volume (CBVa) measured using Look-Locker Flow-sensitive Alternating Inversion Recovery (LL-FAIR) sensitised to CBVa.</li> <li>Cerebral blood flow (CBF) measured using Look-Locker Flow-sensitive Alternating Inversion Recovery (LL-FAIR) sensitised to CBF.</li> <li>Total cerebral blood volume (CBVtot) measured using bolus injections of a Gadolinium based contrast agent combined with T2* weighed gradient echo EPI.</li> </ol> <p>In addition, weighted mean and standard deviation of the changes in these parameters are presented using time windows of 9.6–19.2s and 40.8–60s for ON and OFF, respectively. Weighting is performed with respect to the number of voxels present in each of the subjects regions of interest.</p> <p>Time course data were extracted from two different regions of interest;</p> <ol> <li>ROI<sub>CBF</sub>: defined using a CBF localiser</li> <li>ROI<sub>COMMON</sub>: defined using the overlap of CBF, CBV<sub>a</sub> and CBV<sub>tot</sub> localisers</li> </ol> <p>Furthermore, the transit times for CBF and CBVa were estimated for an average stimulus cycle and mean values extracted using time windows of 9.6–19.2s and 40.8–60s for ON and OFF, respectively. These data were extracted from ROI<sub>CBF</sub>.</p> <p>Changes</p> <p>- Addition of propagation of uncertainty for CBVv and the Grubb constants alpha_tot and alpha_a.</p> <p> </p>
Fig. 1 - Anthyllis apennina F in Report 2021 on plant biodiversity in Italy: native and alien vascular flora
Fig. 1 - Anthyllis apennina F.Conti & Bartolucci, an Italian endemic described in 2021 (Monte Tricella, Abruzzo, Italy. Photo: Fabio Conti). Anthyllis apennina F.Conti & Bartolucci, specie endemica italiana descritta nel 2021 (Monte Tricella, Abruzzo, Italia. Foto: Fabio Conti).
Fig. 3 in Report 2021 on plant biodiversity in Italy: native and alien vascular flora
Fig. 3 - Ophrys japigiae Turco, D'Emerico, Dura, Gennaio & Medagli, an Italian endemic described in 2021 (Ugento, Puglia, Italy. Photo: Francesco Chetta). / Ophrys japigiae Turco, D'Emerico, Dura, Gennaio & Medagli, specie endemica italiana descritta nel 2021 (Ugento, Puglia, Italy. Foto: Francesco Chetta).
Fig. 2 - A in Report 2021 on plant biodiversity in Italy: native and alien vascular flora
Fig. 2 - A) Odontarrhena bertolonii (Desv.) Jord. & Fourr. subsp. cesalpinoana Selvi, an Italian endemic described in 2021 (Monte Petroso, Toscana, Italy. Photo: Federico Selvi); B) Centaurea phalacrica Brullo, Cambria, Crisafulli, Tavilla & Sciandr., an Italian endemic described in 2021 (Capo Rasocolmo, Sicilia, Italy. Photo: Gianmarco Tavilla). / Odontarrhena bertolonii (Desv.) Jord. & Fourr. subsp. cesalpinoana Selvi, sottospecie endemica italiana descritta nel 2021 (Monte Petroso, Toscana, Italia. Foto: Federico Selvi); B. Centaurea phalacrica Brullo, Cambria, Crisafulli, Tavilla & Sciandr., specie endemica italiana descritta nel 2021 (Capo Rasocolmo, Sicilia, Italia. Foto: Gianmarco Tavilla).
D-PLACE dataset derived from Kreft and Jetz 2007 'Global patterns and determinants of vascular plant diversity'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Kreft H, Jetz W. Global patterns and determinants of vascular plant diversity. Proc Natl Acad Sci. 2007;104: 5925–5930.</p> </blockquote>
Linked collectors and determiners for: Vascular plants from European Russia in the CSBG SB RAS Digital herbarium.
Natural history specimen data linked to collectors and determiners held within, "Vascular plants from European Russia in the CSBG SB RAS Digital herbarium". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/85f9137e-8aec-4e0b-9ed6-0af4dbe491e8">https://bionomia.net/dataset/85f9137e-8aec-4e0b-9ed6-0af4dbe491e8</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/85f9137e-8aec-4e0b-9ed6-0af4dbe491e8">https://gbif.org/dataset/85f9137e-8aec-4e0b-9ed6-0af4dbe491e8</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Flora vascular acuática de las áreas naturales protegidas del estado de Morelos, México.
Natural history specimen data linked to collectors and determiners held within, "Flora vascular acuática de las áreas naturales protegidas del estado de Morelos, México". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/b22656ab-91c5-43ee-b07e-11c58c391e21">https://bionomia.net/dataset/b22656ab-91c5-43ee-b07e-11c58c391e21</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/b22656ab-91c5-43ee-b07e-11c58c391e21">https://gbif.org/dataset/b22656ab-91c5-43ee-b07e-11c58c391e21</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Universidad de Navarra, Herbarium: PAMP-Vascular Plants.
Natural history specimen data linked to collectors and determiners held within, "Universidad de Navarra, Herbarium: PAMP-Vascular Plants". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d7c78847-d662-44c4-a550-5a812dbcc71b">https://bionomia.net/dataset/d7c78847-d662-44c4-a550-5a812dbcc71b</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d7c78847-d662-44c4-a550-5a812dbcc71b">https://gbif.org/dataset/d7c78847-d662-44c4-a550-5a812dbcc71b</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Herbario CTES Plantas Vasculares.
Natural history specimen data linked to collectors and determiners held within, "Herbario CTES Plantas Vasculares". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/ab6daa78-3b69-4be7-9cb6-09d1a439a95e">https://bionomia.net/dataset/ab6daa78-3b69-4be7-9cb6-09d1a439a95e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/ab6daa78-3b69-4be7-9cb6-09d1a439a95e">https://gbif.org/dataset/ab6daa78-3b69-4be7-9cb6-09d1a439a95e</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Herbario BIO de Plantas Vasculares (BIO), Universidad del Pais Vasco (UPV/EHU).
Natural history specimen data linked to collectors and determiners held within, "Herbario BIO de Plantas Vasculares (BIO), Universidad del Pais Vasco (UPV/EHU)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/834dcb62-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/834dcb62-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/834dcb62-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/834dcb62-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Herbario de Plantas Vasculares de la Universidad de Salamanca: SALA.
Natural history specimen data linked to collectors and determiners held within, "Herbario de Plantas Vasculares de la Universidad de Salamanca: SALA". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/834b7330-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/834b7330-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/834b7330-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/834b7330-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: TB Lee Herbarium Vascular Plant Collection Phase II.
Natural history specimen data linked to collectors and determiners held within, "TB Lee Herbarium Vascular Plant Collection Phase II". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/6258c1c8-b27e-4497-8079-ac084029b81b">https://bionomia.net/dataset/6258c1c8-b27e-4497-8079-ac084029b81b</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/6258c1c8-b27e-4497-8079-ac084029b81b">https://gbif.org/dataset/6258c1c8-b27e-4497-8079-ac084029b81b</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Colección Plantas Vasculares - Herbario del Departamento de Biología, Bioquímica y Farmacia de la Universidad Nacional del Sur.
Natural history specimen data linked to collectors and determiners held within, "Colección Plantas Vasculares - Herbario del Departamento de Biología, Bioquímica y Farmacia de la Universidad Nacional del Sur". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/5d731f48-7303-458d-9558-838e60a9010a">https://bionomia.net/dataset/5d731f48-7303-458d-9558-838e60a9010a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/5d731f48-7303-458d-9558-838e60a9010a">https://gbif.org/dataset/5d731f48-7303-458d-9558-838e60a9010a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: TUL Herbarium: Tula Oblast collections of vascular plants.
Natural history specimen data linked to collectors and determiners held within, "TUL Herbarium: Tula Oblast collections of vascular plants". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/5788c83a-0e0a-42c1-8fcd-3b27ce7a672a">https://bionomia.net/dataset/5788c83a-0e0a-42c1-8fcd-3b27ce7a672a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/5788c83a-0e0a-42c1-8fcd-3b27ce7a672a">https://gbif.org/dataset/5788c83a-0e0a-42c1-8fcd-3b27ce7a672a</a>. Formatted as a Frictionless Data package.
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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.