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zenodo24/100

Figure 3 from: Márquez-García F, García-Alonso D, Guerra-Barrena MJ, Vázquez-Pardo FM (2021) Vascular plants dataset of the herbarium (HSS) of Agrarian Research Institute Finca "La Orden-Valdesequera" (CICYTEX), Extremadura, Spain. PhytoKeys 171: 47-59. https://doi.org/10.3897/phytokeys.171.58900

Figure 3 Geographical distribution of specimens of the HSS Herbarium in the Iberian Peninsula.

opencc-by-4.0Jan 2021View details →
dryad24/100

Data from: Neuropathy with vascular endothelial growth factor receptor tyrosine kinase inhibitors

Objective: To explore the association of peripheral neuropathy with vascular endothelial growth factor receptor tyrosine kinase inhibitors (VEGFR-TKIs) use in cancer patients. Methods: Published data search up to November 2018 reporting peripheral neuropathy in cancer patients treated with VEGFR-TKIs was performed. The primary outcome was presence of peripheral neuropathy at the end of the trial. Random-effects meta-analysis was performed to estimate Relative Risk (RR) of individual treatment. Results: Thirty Randomized Clinical Trials (RCTs) including 12,490 cancer patients were included in this analysis. Eight studies compared VEGFR-TKIs with placebo and the remaining studies compared VEGFR-TKIs with the standard chemotherapeutic regimen. When compared against placebo VEGFR-TKIs were associated with a higher risk of peripheral neuropathy (RR=1.76, 95% CI 1.13-2.75, p-value 0.01). Similarly, a stronger association was noted for sensory neuropathy with VEGFR-TKIs monotherapy (RR = 1.61; 95% CI 1.09-2.37, p = 0.02). Risk of peripheral neuropathy with VEGFR-TKIs was higher even when they were compared against control (either placebo or standard chemotherapeutic agents); RR=1.08, 95% CI 1.01-1.15, p-value 0.03. High-grade neuropathy (RR 1.28, 95% CI 1.06-1.54, p-value <0.01) and high-grade sensory neuropathy (RR 1.38, 95% CI 1.09-1.74, p-value <0.01) were noted more frequently with VEGFR-TKIs treatment compared against control. Conclusions: VEGFR-TKIs therapy appeared to be associated with an increased risk of neuropathy.

opencc-zeroJun 2019View details →
zenodo24/100

Dataset of vascular epiphytes in Colombia

<p>We compiled a dataset of 726,578 records of epiphytic species in Colombia, integrating a comprehensive epiphyte list from different primary sources, all records are available through GBIF (<a href="https://doi.org/10.15468/dl.rk4z6u">https://doi.org/10.15468/dl.rk4z6u</a>) .&nbsp;&nbsp;We performed a data cleaning according to the SiB Colombia data lab, which includes the elimination of duplicates, taxonomic, geographic and temporal revision. All data were standardized to Darwin Core format and are UTF-8 encoded.</p> <p>The execution of this dataset was possible thanks to the support of GBIF, the European Union, BID Caribbean, SiB Colombia and the Botanical Garden "Joaquin Antonio Uribe" of Medellin. This dataset is part of the project "Collections-based data for conservation actions: engaging decision-making actors to save globally threatened epiphytes in Colombia" and was sponsored by GBIF, BID Caribe and the European Union&nbsp;under grant BID-CA2020-047-USE.</p> <p>For more information see the project page: <a href="http://or more information see the project page: https://www.gbif.org/project/BID-CA2020-047-USE/collections-based-engagement-of-decision-makers-to-save-globally-threatened-epiphytes-in-colombia">https://www.gbif.org/project/BID-CA2020-047-USE/collections-based-engagement-of-decision-makers-to-save-globally-threatened-epiphytes-in-colombia&nbsp;</a></p>

opencc-by-4.0Dec 2022View details →
zenodo24/100

Figure 8 from: Odorico D, Nicosia E, Datizua C, Langa C, Raiva R, Souane J, Nhalungo S, Banze A, Caetano B, Nhauando V, Ragú H, Machunguene Jr M, Caminho J, Mutemba L, Matusse E, Osborne J, Wursten B, Burrows J, Cianciullo S, Malatesta L, Attorre F (2022) An updated checklist of Mozambique's vascular plants. PhytoKeys 189: 61-80. https://doi.org/10.3897/phytokeys.189.75321

Figure 8 National distribution of occurrence records.

opencc-by-4.0Feb 2022View details →
zenodo24/100

Figure 7 from: Odorico D, Nicosia E, Datizua C, Langa C, Raiva R, Souane J, Nhalungo S, Banze A, Caetano B, Nhauando V, Ragú H, Machunguene Jr M, Caminho J, Mutemba L, Matusse E, Osborne J, Wursten B, Burrows J, Cianciullo S, Malatesta L, Attorre F (2022) An updated checklist of Mozambique's vascular plants. PhytoKeys 189: 61-80. https://doi.org/10.3897/phytokeys.189.75321

Figure 7 Endemism rate among the threatened taxa.

opencc-by-4.0Feb 2022View details →
zenodo24/100

Figure 5 from: Odorico D, Nicosia E, Datizua C, Langa C, Raiva R, Souane J, Nhalungo S, Banze A, Caetano B, Nhauando V, Ragú H, Machunguene Jr M, Caminho J, Mutemba L, Matusse E, Osborne J, Wursten B, Burrows J, Cianciullo S, Malatesta L, Attorre F (2022) An updated checklist of Mozambique's vascular plants. PhytoKeys 189: 61-80. https://doi.org/10.3897/phytokeys.189.75321

Figure 5 Life form categories.

opencc-by-4.0Feb 2022View details →
zenodo24/100

Figure 4 from: Odorico D, Nicosia E, Datizua C, Langa C, Raiva R, Souane J, Nhalungo S, Banze A, Caetano B, Nhauando V, Ragú H, Machunguene Jr M, Caminho J, Mutemba L, Matusse E, Osborne J, Wursten B, Burrows J, Cianciullo S, Malatesta L, Attorre F (2022) An updated checklist of Mozambique's vascular plants. PhytoKeys 189: 61-80. https://doi.org/10.3897/phytokeys.189.75321

Figure 4 Most represented families and their endemism rate.

opencc-by-4.0Feb 2022View details →
zenodo24/100

Figure 2 from: Odorico D, Nicosia E, Datizua C, Langa C, Raiva R, Souane J, Nhalungo S, Banze A, Caetano B, Nhauando V, Ragú H, Machunguene Jr M, Caminho J, Mutemba L, Matusse E, Osborne J, Wursten B, Burrows J, Cianciullo S, Malatesta L, Attorre F (2022) An updated checklist of Mozambique's vascular plants. PhytoKeys 189: 61-80. https://doi.org/10.3897/phytokeys.189.75321

Figure 2 Mozambique Centres of Endemism. Modified version from Darbyshire et al. (2019).

opencc-by-4.0Feb 2022View details →
zenodo24/100

Figure 1 from: Odorico D, Nicosia E, Datizua C, Langa C, Raiva R, Souane J, Nhalungo S, Banze A, Caetano B, Nhauando V, Ragú H, Machunguene Jr M, Caminho J, Mutemba L, Matusse E, Osborne J, Wursten B, Burrows J, Cianciullo S, Malatesta L, Attorre F (2022) An updated checklist of Mozambique's vascular plants. PhytoKeys 189: 61-80. https://doi.org/10.3897/phytokeys.189.75321

Figure 1 Mozambique ecoregions (Burgess et al. 2004; Olson 2020).

opencc-by-4.0Feb 2022View details →
zenodo24/100

Figure 9 from: Odorico D, Nicosia E, Datizua C, Langa C, Raiva R, Souane J, Nhalungo S, Banze A, Caetano B, Nhauando V, Ragú H, Machunguene Jr M, Caminho J, Mutemba L, Matusse E, Osborne J, Wursten B, Burrows J, Cianciullo S, Malatesta L, Attorre F (2022) An updated checklist of Mozambique's vascular plants. PhytoKeys 189: 61-80. https://doi.org/10.3897/phytokeys.189.75321

Figure 9 Mozambican vascular plants related to traditional uses.

opencc-by-4.0Feb 2022View details →
zenodo24/100

Figure 2 from: Watuma BM, Kipkoech S, Melly DK, Ngumbau VM, Rono PC, Mutie FM, Mkala EM, Nzei JM, Mwachala G, Gituru RW, Hu G-W, Wang Q-F (2022) An annotated checklist of the vascular plants of Taita Hills, Eastern Arc Mountain. PhytoKeys 191: 1-158. https://doi.org/10.3897/phytokeys.191.73714

Figure 2 The classes of vascular plant species in Taita Hills.

opencc-by-4.0Mar 2022View details →
zenodo24/100

Figure 3 from: Watuma BM, Kipkoech S, Melly DK, Ngumbau VM, Rono PC, Mutie FM, Mkala EM, Nzei JM, Mwachala G, Gituru RW, Hu G-W, Wang Q-F (2022) An annotated checklist of the vascular plants of Taita Hills, Eastern Arc Mountain. PhytoKeys 191: 1-158. https://doi.org/10.3897/phytokeys.191.73714

Figure 3 Growth form of vascular plants in Taita Hills.

opencc-by-4.0Mar 2022View details →
zenodo24/100

Figure 8 from: Nualart N, Ibáñez N, Luque P, Pedrol J, Vilar L, Guàrdia R (2017) Dataset of herbarium specimens of threatened vascular plants in Catalonia. PhytoKeys 77: 41-62. https://doi.org/10.3897/phytokeys.77.11542

Figure 8 - Collecting months according the specimens labels.

opencc-by-4.0Feb 2017View details →
zenodo24/100

Figure 7 from: Nualart N, Ibáñez N, Luque P, Pedrol J, Vilar L, Guàrdia R (2017) Dataset of herbarium specimens of threatened vascular plants in Catalonia. PhytoKeys 77: 41-62. https://doi.org/10.3897/phytokeys.77.11542

Figure 7 - Collecting years according the specimens labels.

opencc-by-4.0Feb 2017View details →
zenodo24/100

Figure 2 from: Nualart N, Ibáñez N, Luque P, Pedrol J, Vilar L, Guàrdia R (2017) Dataset of herbarium specimens of threatened vascular plants in Catalonia. PhytoKeys 77: 41-62. https://doi.org/10.3897/phytokeys.77.11542

Figure 2 - Origin herbarium of the specimens included in the dataset.

opencc-by-4.0Feb 2017View details →
zenodo24/100

Figure 1 from: Nualart N, Ibáñez N, Luque P, Pedrol J, Vilar L, Guàrdia R (2017) Dataset of herbarium specimens of threatened vascular plants in Catalonia. PhytoKeys 77: 41-62. https://doi.org/10.3897/phytokeys.77.11542

Figure 1 - Location of Catalonia and elevation map of the study area.

opencc-by-4.0Feb 2017View details →
zenodo24/100

Figure 5 from: Nualart N, Ibáñez N, Luque P, Pedrol J, Vilar L, Guàrdia R (2017) Dataset of herbarium specimens of threatened vascular plants in Catalonia. PhytoKeys 77: 41-62. https://doi.org/10.3897/phytokeys.77.11542

Figure 5 - Distribution map of the specimens for UTM grid of 10 km2 for each herbarium.

opencc-by-4.0Feb 2017View details →
zenodo24/100

Figure 4 from: Nualart N, Ibáñez N, Luque P, Pedrol J, Vilar L, Guàrdia R (2017) Dataset of herbarium specimens of threatened vascular plants in Catalonia. PhytoKeys 77: 41-62. https://doi.org/10.3897/phytokeys.77.11542

Figure 4 - Distribution map of the number of specimens for UTM grid of 10 km2.

opencc-by-4.0Feb 2017View details →
zenodo24/100

Fig. 1 in New distributional records of non-native vascular plants in northern Italy

Fig. 1 - Bidens connatus, Bastida Pancarana (PV), September 2014 (Photo: N. Ardenghi).

opencc-by-4.0Jun 2015View details →
zenodo24/100

RNA velocity objects of FACS-sorted (CD31+/CD45-) endothelial cells of overall merge of pathological entities (brain tumors and brain vascular malformations)

<p><strong>RNA velocity objects (zip files of .h5ad) of FACS-sorted (CD31+/CD45-) endothelial cells of overall merge of pathological entities (brain tumors and brain vascular malformations):<br></strong></p> <p><em><span>-&gt; part of the manuscript:&nbsp;Single-cell atlas of the human brain vasculature across development, adulthood and disease</span></em><span><br><em><span>https://www.nature.com/articles/s41586-024-07493-y</span></em></span></p> <p><br>-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p><em>- Overall merge of pathological sorted endothelial cells_RNA velocity.zip:</em>&nbsp;<br>&nbsp; &nbsp; &nbsp;-&gt; this is a zip file of an RNA velocity object (.h5ad) of the overall merge of FACS-sorted (CD31+/CD45-) endothelial cells isolated from pathological entities including brain tumors (lower-grade glioma, high-grade glioma (glioblastoma), brain metastasis, meningiomas) and brain vascular malformations (brain arteriovenous malformations).&nbsp;</p>

opencc-by-4.0Nov 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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