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Vascular Flora Surveys of Permanent Plots at the Harvard Farm at Harvard Forest since 2015
The objectives of this study were to: (1) Determine the species richness and cover of vascular flora in 27 permanent plots at the Harvard Farm (established in HF236). (2) Track any changes in species richness and species dominance in the plant communities at each plot over time. (3) Observe any changes in invasive species richness and cover over time. (4) Identify differences between plant community composition of plots in constant grazing, rotational grazing, and mowing areas. These data were collected by Harvard Forest interns and may include some misidentifications, but they should be considered accurate for larger scale analyses of changes in the density of growth forms and invasive species. For more accurate species-level information, please see data collected every five years by Glenn Motzkin (HF236 with data from 2014 and 2019).
Harvard Forest Flora Database from 1908 to Present
We conducted a floristic inventory of Harvard Forest, in order to: (1) document the current vascular flora of Harvard Forest; (2) evaluate the extent to which the flora has changed over the past century.
Vascular Flora of the Harvard Farm at Harvard Forest 2014
The objectives of this study were to: (1) Inventory the vascular flora of the former Petersham Country Club (now the Harvard Farm). (2) Collect voucher specimens for the HF Herbarium of species that were not previously documented from Harvard Forest, or that were found historically at HF but were not recorded in 2004–2007 by Jenkins et al. (2008). (3) Establish and sample a series of permanent plots to characterize current vegetation composition, and to enable evaluation of vegetation change over time. (4) Sample soils within permanent plots to document initial conditions and to facilitate future work on soil dynamics and ecosystem processes.
AusTraits: a curated plant trait database for the Australian flora
<p>AusTraits is a transformative database, containing measurements on the traits of Australia's plant taxa, standardised from hundreds of disconnected primary sources. So far, data have been assembled from > 300 distinct sources, describing > 500 plant traits and > 34,000 taxa.</p> <p>To handle the harmonising of diverse data sources, we use a reproducible workflow to implement the various changes required for each source to reformat it suitable for incorporation in AusTraits. Such changes include restructuring datasets, renaming variables, changing variable units, changing taxon names. While this repository contains the harmonised data, the raw data and code used to build the resource are also available on the project's GitHub repository, <a href="https://github.com/traitecoevo/austraits.build/">https://github.com/traitecoevo/austraits.build/</a>.</p> <p>Further information on the project is available at the project website <a href="https://austraits.org">austraits.org</a> and in the associated publication (see below).</p> <p><strong>CONTRIBUTORS</strong></p> <p>The project is jointly led by Dr Daniel Falster (UNSW Sydney), Dr Rachael Gallagher (Western Sydney University), Dr Elizabeth Wenk (UNSW Sydney), and Dr Hervé Sauquet (Royal Botanic Gardens and Domain Trust Sydney), with input from > 300 contributors from over > 100 institutions (see full list above). The project was initiated by Dr Rachael Gallagher and Prof Ian Wright while at Macquarie University.</p> <p>We are grateful to the following institutions for contributing data Australian National Botanic Garden, Brisbane Rainforest Action and Information Network, Kew Botanic Gardens, National Herbarium of NSW, Northern Territory Herbarium, Queensland Herbarium, Western Australian Herbarium, South Australian Herbarium, State Herbarium of South Australia, Tasmanian Herbarium, Department of Environment Land Water and Planning Victoria and the Royal Botanic Gardens Victoria.</p> <p>AusTraits has been supported by investment from the Australian Research Data Commons (ARDC), via their "Transformative data collections" (https://doi.org/10.47486/TD044) and "Data Partnerships" (https://doi.org/10.47486/DP720, https://doi.org/10.47486/DP720A) programs; and grants from the Australian Research Council (FT160100113, DE170100208, FT100100910) and Macquarie University, The ARDC is enabled by National Collaborative Research Investment Strategy (NCRIS).</p> <p><strong>ACCESSING AND USE OF DATA</strong></p> <p>The compiled AusTraits database is released under an open source licence (CC-BY), enabling re-use by the community.</p> <p>A requirement of use is that users cite the AusTraits resource paper, which includes all contributors as co-authors:</p> <blockquote> <p>Falster, Gallagher et al (2021) <em>AusTraits, a curated plant trait database for the Australian flora</em>. Scientific Data 8: 254, <a href="https://doi.org/10.1038/s41597-021-01006-6">https://doi.org/10.1038/s41597-021-01006-6</a></p> </blockquote> <p>In addition, we encourage users you to cite the original data sources, wherever possible.</p> <p>Note that under the license data may be redistributed, provided the attribution is maintained.</p> <p>The downloads below provide the data in two formats:</p> <ul> <li>austraits-X.X.X.zip: data in plain text format (.csv, .bib, .yml files). Suitable for anyone, including those using Python.</li> <li>austraits-X.X.X.rds: data as compressed R object. Suitable for users of R (see below).</li> <li> <div>austraits-X.X.X-flattened.rds: contains a flattened version of the dataset for direct loading in R; all data tables are joined into a wider format</div> </li> <li> <div>austraits-X.X.X-flattened.parquet: contains a flattened version of the dataset in parquet format; all data tables are joined into a wider format </div> </li> </ul> <p>For R users, access and manipulation of data is assisted with the <a href="http://github.com/traitecoevo/austraits">austraits R package</a>. The package can both download data and provides examples and functions for running queries.<br><br><strong>STRUCTURE OF AUSTRAITS</strong></p> <p>The compiled AusTraits database contains a series of relational tables and files. These elements include all the data, contextual information submitted with each contributed datasets, database schema, and trait definitions. The file dictionary.html provides the same information in textual format. Similar information is available at <a href="https://traitecoevo.github.io/traits.build-book/">https://traitecoevo.github.io/traits.build-book/</a>.</p> <p><strong>CONTRIBUTING</strong></p> <p>We envision AusTraits as an on-going collaborative community resource that:</p> <ol> <li>Increases our collective understanding the Australian flora;</li> <li>Facilitates accumulation and sharing of trait data;</li> <li>Builds a sense of community among contributors and users; and</li> <li>Aspires to fully transparent and reproducible research of the highest standard.</li> </ol> <p>As a community resource, we are very keen for people to contribute. Assembly of the database is managed on GitHub at <a href="https://github.com/traitecoevo/austraits.build/">https://github.com/traitecoevo/austraits.build/</a>.</p> <p>Here are some of the ways you can contribute:</p> <p><strong>Reporting Errors</strong>: If you notice a possible error in AusTraits, please <a href="https://github.com/traitecoevo/austraits.build/issues">post an issue on GitHub</a>.</p> <p><strong>Refining documentation:</strong> We welcome additions and edits that make using the existing data or adding new data easier for the community.</p> <p><strong>Contributing new data</strong>: We gladly accept new data contributions to AusTraits. See full instructions on how to contribute at <a href="https://github.com/traitecoevo/austraits.build/">https://github.com/traitecoevo/austraits.build/</a>.</p>
Phytogeographic regions of Ukraine according to the "Flora Fungorum Ucrainicae"
<p>Origin of the data</p> <p>This regionalization was originally published by Heluta (1989), to illustrate the distribution of powdery mildew fungi across Ukraine, and further was used in the series "Flora Fungorum Ucrainicae", as well as individual publications and thesis in Mycology. The regionalization was based mainly on the current at that time Geobotanical zonation of the URSR (Barbarych et. al, 1977).<br>Since both names and accepted abbreviations of regions originally were in Russian, we adopted the translation made by Akulov et al. (2003), with some additions from a later publication by Prylutskyi & Chvikov (2020):<br>CF – Carpathian Forests, DGMS – Donetsk Gramineous-Meadow Steppe, FSCr – Forest-Steppe Crimea, KFS – Kharkiv Forest-Steppe, LFS – Left Bank Forest-Steppe, LGS – Left Bank Gramineous Steppe, LGMS – Left Bank GramineousMeadow Steppe, LP – Left Bank Polissya, MRF – Middle-Russian Forests, MCr – Mountain Crimea, PF – Precarpathian Forests, RF – Roztocze Forests, RFS – Right Bank Forest-Steppe, RGS – Right Bank Gramineous Steppe, RGMS – Right Bank Gramineous-Meadow Steppe, RP – Right Bank Polissya, SP – Small Polissya, SSCr – South Seaside of Crimea, SGMS – Starobilsk Gramineous-Meadow Steppe, SCr – Steppe Crimea, TR – Transcarpathia, VFS – Volyn Forest-Steppe, WFS – Western Forest-Steppe, WP – Western Polissya, WUF – West-Ukrainian Forests, WS – Wormwood Steppe.</p> <p><strong>UPD:</strong> Ukrainian names and abbreviations, as well as English names of the regions, updated according to <a href="https://ukrbotj.co.ua/archive/80/3/199" rel="nofollow">Heluta, 2023</a>.</p> <p>Dataset description</p> <p>Dataset (zip-archive) contains GIS vector layers with the polygons of regions, in the following formats: Geopackage, KML, and Esri shapefile. Polygons have been drawn manually using QGIS software, following verbal descriptions of the borders of regions from Heluta (1989).<br>CRS: EPSG:3857 - WGS 84 / Pseudo-Mercator<br>Charset Encoding: UTF-8</p> <p>Attribute table's fields descriptions</p> <p>fid - Unique identifier for each polygon<br>Name - Accepted abbreviated name for the region in Ukrainian<br>NameEng - Abbreviated name for the region, translated into English<br>NameFullUA - Full name of a region, in Ukrainian<br>NameFul - Full name of a region translated into English<br>NatZone - Natural zone according to the source (Heluta, 1989), in Ukrainian<br>Ecoregions - Name of the Terrestrial Ecoregion (TEOW) (Olson et al., 2001), which covers most of the area of a given region<br>Note: KML file has additional system fields, not contain attribute information.</p> <p>References</p> <p>Heluta, V.P. (2023) A critical revision of the powdery mildew fungi (Erysiphaceae, Ascomycota) of Ukraine: Erysiphe sect. Microsphaera. Ukrainian Botanical Journal. 2023. 80 (3). <a href="https://doi.org/10.15407/ukrbotj80.03.199" rel="nofollow">https://doi.org/10.15407/ukrbotj80.03.199</a></p> <p>Heluta, V.P. (1989) Powdery Mildews. Flora Fungorum Ucrainicae. Kyiv: Naukova dumka [In Russian: Гелюта, В.П. (1989) Флора грибов Украины: Мучнисторосяные грибы. Киев: Наукова думка]</p> <p>Barbarych, A.I. (Ed.) (1977)Geobotanical zonation of the URSR. Kyiv: Naukova Dumka [in Ukrainian: Геоботанічне районування Української РСР. Київ: Наукова думка]</p> <p>Akulov, O.Yu.; Usichenko, A.S.; Leontyev, D.V.; Yurchenko, E.O.; Prydiuk, M.P. (2003) Annotated checklist of aphyllophoroid fungi of Ukraine. Mycena 2:1–76.</p> <p>Chvikov, V.; Prylutskyi, О. (2020) Annotated checklist of Hygrophoraceae (Agaricales, Basidiomycota) of Ukraine. Biodivers. Ecol. Exp. Biol. 22, 6–23. https://doi.org/10.34142/2708-5848.2020.22.2.01</p> <p>Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., D'Amico, J. A., Itoua, I., Strand, H. E., Morrison, J. C., Loucks, C. J., Allnutt, T. F., Ricketts, T. H., Kura, Y., Lamoreux, J. F., Wettengel, W. W., Hedao, P., Kassem, K. R. 2001. Terrestrial ecoregions of the world: a new map of life on Earth. Bioscience 51(11):933-938.</p>
Global Naturalized Alien Flora (GloNAF). Open access data to support research on understanding global plant invasions.
<p>This dataset is a snapshot of the Global Naturalized Alien Flora (GloNAF) database, version 2.02. GloNAF is a continuously updated, curated compilation of alien naturalized vascular plant inventories for geographic regions from around the world. The dataset has 16,429 unique taxa reported as naturalized or invasive and covers 1,343 regions (including 427 islands) from 336 data sources. For each region, the status (invasive, naturalized) is provided as listed in the original source. We provide the scientific names included with the original data source, and the matching accepted name or synonym of the taxon as given in the World Checklist of Vascular Plants (WCVP) Version 12. In addition, we provide an ESRI shapefile of polygons for each region. We also provide several variables that can be used to filter the data according to quality and completeness of alien taxon lists, which vary among the combinations of regions and data sources.</p> <p>The 'glonaf_flora2.csv' file lists the IDs ('taxon_wcvp_id') of all naturalized taxa contained in GloNAF and the regions they occur in. The 'glonaf_taxon_wcvp.csv' lists the original taxon names provided in the source data along with the corresponding accepted taxon name from the WCVP (version 12) for all alien taxa in GloNAF, regardless of their naturalization status. To link taxon names with naturalization records, join the 'id' column of the 'glonaf_taxon_wcvp.csv' file to the 'taxon_wcvp_id' column in 'glonaf_flora2.csv' . Additional information regarding the original source of the data ('glonaf_reference.csv'), specific attributes of the taxon lists ('glonaf_list.csv') and the region ('glonaf_region.csv') can also be joined similarly to 'glonaf_flora2.csv '. </p> <p> </p>
Hubbard Brook Stream Ecology Record: Diatom Species Richness and Voucher Flora, 2018-2022
This dataset contains species richness data for epiphytic diatom communities collected from weir ponds in seven headwater streams within the Hubbard Brook Experimental Forest (HBEF) in New Hampshire between 2018 and 2021. Diatom samples were gathered using artificial bryophyte substrates, deployed in weir ponds to mimic natural diatom habitats. Species richness was quantified by identifying diatom taxa to the lowest possible taxonomic level, with 86 taxa spanning 43 genera recorded. This dataset represents the first comprehensive classification of diatom communities at HBEF, providing a baseline for future studies in this ecosystem. Environmental variables, including light availability, dissolved organic carbon, total dissolved nitrogen, and pH, were concurrently measured to assess their influence on diatom community composition. The light (lux) data used in this study is openly available in the EDI Data Portal at https://doi.org/10.6073/pasta/0f40b75b299494d736645d940fa2b5a4. The chlorophyll-a data and analysis methodology are available at https://doi.org/10.6073/pasta/7fa32d94240fc7780d62cb7e65eafdb2. Reach characteristics were sourced from the EDI Data Portal at https://doi.org/10.6073/pasta/3e4b95149245341d522383bba51de7c7. This study provides valuable insights into the relationships between environmental factors and diatom diversity in northern hardwood forest streams, aiding ecological monitoring and bioindicator studies. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Brazilian Flora: Brazilian Flora DwCA
Flora do Brasil 2020 under construction. Jardim Botânico do Rio de Janeiro. Available at: <p></p>http://floradobrasil.jbrj.gov.br/ . Accessed on: 10 Oct. 2019 The Brazilian Flora 2020 project is part of the Reflora Programme and is being conducted with the support of the Sistema de Informação sobre a Biodiversidade Brasileira (SiBBr). At the moment has nearly 700 scientists working in a network to prepare the monographs. These researchers are also responsible for nomenclatural information and geographic distribution (coverage in Brazil, endemism and biomes), as well as valuable data regarding life forms, substrate and vegetation types for each species.<p></p>
World Flora Online Plant List June 2025
<p>The consensus taxonomy of plants used as the backbone for the <a href="https://www.worldfloraonline.org/">World Flora Online</a> (WFO) portal, and issued as editions of the <a href="https://wfoplantlist.org/">WFO Plant List</a>.</p> <p>New versions of this checklist are released every six months in June and December: this is release 2025-06.</p> <p>The history of data development for the WFO taxonomic backbone is given on the WFO Plant List <a href="https://wfoplantlist.org/background">background page</a>. Taxonomic names are incorporated into WFO from nomenclators <a href="https://www.ipni.org/">International Plant Name Index</a> (IPNI) for vascular plants, and <a href="https://www.tropicos.org/home">Tropicos</a> for bryophytes. Taxonomic and nomenclatural updates are incorporated from the WFO's <a href="https://about.worldfloraonline.org/tens">Taxonomic Expert Networks</a> (TENs) and the <a href="https://powo.science.kew.org/about-wcvp">World Checklist of Vascular Plants</a> (WCVP), facilitated by the Royal Botanic Gardens, Kew.</p> <p>This data repository includes the following files:</p> <ul> <li><strong>wfo_plantlist_2025-06.zip</strong> The Catalogue of Life Data Package of the WFO Plant List. This is the most expressive standards based form of the list.</li> <li><strong>plant_list_2025-06.json.gz</strong> JSON formatted version of the WFO Plant List. This has been designed for direct import into a schemaless instance of a SOLR index and is used to drive the WFO Plant List API (<a href="https://list.worldfloraonline.org">https://list.worldfloraonline.org</a>) which in turn drives the WFO Plant List in the portal. This is recommended if you want a local, read only version of the list rather than use the API.</li> <li><strong>plant_list_2025-06.sql.gz</strong> This is the complete production database (minus API keys) as a MySQL backup file. It can be restored directly to a MySQL 8.0 or later instance if you require the list in SQL format.</li> <li><strong>ipni_to_wfo.csv.gz</strong> A file mapping all the IPNI IDs we track to their associated WFO IDs.</li> <li><strong>families_dwc.tar.gz</strong> Individual Darwin Core Archive files for each of 733 recognized families. If you want a single family in DwC but can't load the whole list download and expand this file. Family and genus files are also available for download through the portal. These files exclude deprecated names.</li> <li><strong>_DwC_backbone_R.zip</strong> A single Darwin Core Archive file containing non deprecated names and taxa for use in the existing R package.</li> <li><strong>_uber.zip</strong> A single Darwin Core Archive file containing all names and taxa even those that are deprecated along with some extra columns</li> </ul>
Country Compendium of the Global Register of Introduced and Invasive Species: Standardization to Records in World Flora Online or the World Checklist of Vascular Plants
<p>The <strong>Country Compendium of the Global Register of Introduced and Invasive Species (GRIIS)</strong> is a collation of data across 196 individual country checklists of alien species, along with a designation of those species associated with evidence of impact at a country level. This compendium is available via <a href="https://zenodo.org/records/6348164">Zenodo</a> and was described by Pagad et al. <a href="https://www.nature.com/articles/s41597-022-01514-z">2022</a>:</p><ul><li>Shyama Pagad, Stewart Bisset, & Melodie A. McGeoch. (2022). Country Compendium of the Global Register of Introduced and Invasive Species. Dataset. (V1_0) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.6348164">https://doi.org/10.5281/zenodo.6348164</a></li><li>Pagad, S., Bisset, S., Genovesi, P. <i>et al.</i> Country Compendium of the Global Register of Introduced and Invasive Species. <i>Sci Data</i> <strong>9</strong>, 391 (2022). <a href="https://doi.org/10.1038/s41597-022-01514-z">https://doi.org/10.1038/s41597-022-01514-z</a></li></ul><p> </p><p>Here I provide direct and fuzzy matches for species listed for the Plantae Kingdom in GRIIS with accepted plant names in <strong>World Flora Online</strong> (<a href="https://www.worldfloraonline.org/downloadData">version 2023.03</a>; Borsch et al. <a href="https://doi.org/10.1002/tax.12373">2020</a>) or the <strong>World Checklist of Vascular Plants</strong> (<a href="https://doi.org/10.34885/nswv-8994">version 10</a>; Govaerts et al. <a href="https://www.nature.com/articles/s41597-021-00997-6">2021</a>). Matching was done in <i>R</i> through the <a href="https://cran.r-project.org/package=WorldFlora">WorldFlora</a> package (Kindt <a href="https://bsapubs.onlinelibrary.wiley.com/doi/full/10.1002/aps3.11388">2020</a>). The taxonomic standardization process was similar to the one completed <a href="https://www.worldagroforestry.org/output/agroforestry-species-switchboard-30">during the preparation of the third major release</a> of the <a href="https://apps.worldagroforestry.org/products/switchboard">Agroforestry Species Switchboard</a> and when preparing the <strong>GlobalUsefulNativeTrees database</strong> (GlobUNT; <a href="https://worldagroforestry.org/output/globalusefulnativetrees">https://worldagroforestry.org/output/globalusefulnativetrees</a>) .</p><p>Where a matching species was found in GlobUNT, the species name in the GlobUNT database has been shown. GlobUNT has been described in the following publication: Kindt et al. (<a href="https://www.nature.com/articles/s41598-023-39552-1">2023</a>) <strong>GlobalUsefulNativeTrees, a database of 14,014 tree species, supports synergies between biodiversity recovery and local livelihoods in restoration</strong>. <i>Sci Rep</i> <strong>13</strong>, 12640. <a href="https://doi.org/10.1038/s41598-023-39552-1">https://doi.org/10.1038/s41598-023-39552-1</a>.</p><p>The developments of this dataset and GlobUNT were supported by the Darwin Initiative to project DAREX001 of <a href="https://www.darwininitiative.org.uk/project/DAREX001/"><i>Developing a Global Biodiversity Standard certification for tree-planting and restoration</i></a> and by Norway's International Climate and Forest Initiative through the Royal Norwegian Embassy in Ethiopia to the <a href="https://www.worldagroforestry.org/project/provision-adequate-tree-seed-portfolio-ethiopia"><i>Provision of Adequate Tree Seed Portfolio</i></a> project in Ethiopia. </p>
Trees of India Version 1: Standardization to Records in World Flora Online and the World Checklist of Vascular Plants, with matches in GlobalTreeSearch and GlobalUsefulNativeTrees
<p>The <strong>Trees of India (ToI, Version-I)</strong> includes data on 3708 tree species distributed across 35 states/union territories of India. The database is based on systematic review of 313 literature sources published from 1872-2022.This compendium is available via <a href="https://figshare.com/articles/dataset/ToI_Ver_-I_Trees_of_India_Version-I/23226281">Figshare</a> and was described by Mugal et al. <a href="https://link.springer.com/article/10.1007/s10531-023-02659-y">2023</a>:</p> <ul> <li>Khuroo, Anzar Ahmad; Mugal, Muzamil Ahmad; Wani, Sajad Ahmad (2023). ToI, Ver.-I : Trees of India, Version-I. figshare. Dataset. <a href="https://doi.org/10.6084/m9.figshare.23226281.v1">https://doi.org/10.6084/m9.figshare.23226281.v1</a></li> <li>Mugal, M.A., Wani, S.A., Dar, F.A. <em>et al.</em> Bridging global knowledge gaps in biodiversity databases: a comprehensive data synthesis on tree diversity of India. <em>Biodivers Conserv</em> <strong>32</strong>, 3089–3107 (2023). <a href="https://doi.org/10.1007/s10531-023-02659-y">https://doi.org/10.1007/s10531-023-02659-y</a></li> </ul> <p> </p> <p>Here I provide direct and fuzzy matches for taxa listed with accepted plant names in <strong>World Flora Online</strong> (<a href="https://www.worldfloraonline.org/downloadData">version 2023.03</a>; Borsch et al. <a href="https://doi.org/10.1002/tax.12373">2020</a>) and the <strong>World Checklist of Vascular Plants</strong> (WCVP <a href="https://doi.org/10.34885/nswv-8994">version 10</a>; Govaerts et al. <a href="https://www.nature.com/articles/s41597-021-00997-6">2021</a>). Matching was done in <em>R</em> through the <a href="https://cran.r-project.org/package=WorldFlora">WorldFlora</a> package (Kindt <a href="https://bsapubs.onlinelibrary.wiley.com/doi/full/10.1002/aps3.11388">2020</a>). The taxonomic standardization process was similar to the one completed <a href="https://www.worldagroforestry.org/output/agroforestry-species-switchboard-30">during the preparation of the third major release</a> of the <a href="https://apps.worldagroforestry.org/products/switchboard">Agroforestry Species Switchboard</a> and when preparing the <strong>GlobalUsefulNativeTrees database</strong> (GlobUNT; <a href="https://worldagroforestry.org/output/globalusefulnativetrees">https://worldagroforestry.org/output/globalusefulnativetrees</a>).</p> <p>After matching species with the WCVP, information was compiled on the <strong>native distribution</strong> documented in the WCVP for level-3 units of the <a href="https://github.com/tdwg/wgsrpd">World Geographical Scheme for Recording Plant Distributions</a> that correspond to India, including India (IND), Assam (ASS), West Himalaya (WHM), East Himalaya (EHM), Laccadive Is. (LDV), Andaman Is. (AND) and Nicobar Is. (NCB). Also included after matching with the WCVP is information on the geographic area, lifeform and main biome. Similar information is available when searching for species from <a href="https://powo.science.kew.org/">Plants of the World Online</a>.</p> <p>Where a matching species was found in <strong>GlobalTreeSearch</strong> (Beech et al. <a href="https://www.tandfonline.com/doi/full/10.1080/10549811.2017.1310049">2017</a>; <a href="https://tools.bgci.org/global_tree_search.php">https://tools.bgci.org/global_tree_search.php</a>; accessed on 28th June 2023) filtered for India, the species name in GlobalTreeSearch is shown. Note that GlobalTreeSearch documents the <strong>native country distribution</strong> of tree species.</p> <p>Where a matching species was found in the <strong>GlobalUsefulNativeTrees</strong> database (GlobUNT, version 2023.11) filtered for India, the species name in the GlobUNT database is shown. GlobUNT has been described in the following publication: Kindt et al. (<a href="https://www.nature.com/articles/s41598-023-39552-1">2023</a>) <strong>GlobalUsefulNativeTrees, a database of 14,014 tree species, supports synergies between biodiversity recovery and local livelihoods in restoration</strong>. <em>Sci Rep</em> <strong>13</strong>, 12640. <a href="https://doi.org/10.1038/s41598-023-39552-1">https://doi.org/10.1038/s41598-023-39552-1</a>.</p> <p>See the metadata for information on versions.</p> <p> </p> <ul> <li>Borsch, T., Berendsohn, W., Dalcin, E., Delmas, M., Demissew, S., Elliott, A., Fritsch, P., Fuchs, A., Geltman, D., Güner, A., Haevermans, T., Knapp, S., le Roux, M.M., Loizeau, P.-A., Miller, C., Miller, J., Miller, J.T., Palese, R., Paton, A., Parnell, J., Pendry, C., Qin, H.-N., Sosa, V., Sosef, M., von Raab-Straube, E., Ranwashe, F., Raz, L., Salimov, R., Smets, E., Thiers, B., Thomas, W., Tulig, M., Ulate, W., Ung, V., Watson, M., Jackson, P.W. and Zamora, N. (2020), World Flora Online: Placing taxonomists at the heart of a definitive and comprehensive global resource on the world's plants. TAXON, 69: 1311-1341. <a href="https://doi.org/10.1002/tax.12373">https://doi.org/10.1002/tax.12373</a></li> <li>Govaerts, R., Nic Lughadha, E., Black, N. <em>et al.</em> The World Checklist of Vascular Plants, a continuously updated resource for exploring global plant diversity. <em>Sci Data</em> <strong>8</strong>, 215 (2021). <a href="https://doi.org/10.1038/s41597-021-00997-6">https://doi.org/10.1038/s41597-021-00997-6</a></li> <li>E. Beech, M.Rivers, S. Oldfield & P. P. Smith (2017)GlobalTreeSearch: The first complete global database of tree species and country distributions, Journal of Sustainable Forestry, 36:5, 454-489, DOI: <a href="https://doi.org/10.1080/10549811.2017.1310049">10.1080/10549811.2017.1310049</a></li> <li>Kindt, R. 2020. WorldFlora: An R package for exact and fuzzy matching of plant names against the World Flora Online taxonomic backbone data. <em>Applications in Plant Sciences</em> 8(9): e11388. <a href="https://doi.org/10.1002/aps3.11388">https://doi.org/10.1002/aps3.11388</a></li> </ul> <p> </p> <p>The developments of this dataset and GlobUNT were supported by the Darwin Initiative to project DAREX001 of <a href="https://www.darwininitiative.org.uk/project/DAREX001/"><em>Developing a Global Biodiversity Standard certification for tree-planting and restoration</em></a>.</p>
Arrhenatherum P. Beauv. (Poaceae) in Flora iberica XIX(II)
<p>Testimonios de herbario en los que se basan los resultados del capítulo correspondiente al género <em>Arrhenatherum</em> P. Beauv. (Poaceae), publicado en el libro <em>Flora iberica</em>, vol. XIX(II) Gramineae (partim), ISBN: 978-84-00-10817-5, páginas: 814-825 (2021).</p>
Ventenata Koeler (Poaceae) in Flora iberica XIX(I)
<p>Testimonios de herbario en los que se basan los resultados del capítulo correspondiente al género <em>Ventenata</em> Koeler (Poaceae), publicado en el libro <em>Flora iberica</em>, vol. XIX(I) Gramineae (partim), ISBN: 84-00-06221-3, páginas: 156-159. (2020).</p>
Helictotrichon Besser (Poaceae) in Flora Iberica XIX(II)
<p>Testimonios de herbario en los que se basan los resultados del capítulo correspondiente al género <em>Helictotrichon</em> Besser (Poaceae), publicado en el libro <em>Flora iberica</em>, vol. XIX(II) Gramineae (partim), ISBN: 978-84-00-10817-5, páginas: 797-814 (2021).</p> <p>Incluye al género <em>Pseudarrhenatherum</em> Rouy.</p>
Dasypyrum (Coss. & Durieu) T. Durand (Poaceae) in Flora iberica XIX(II)
<p>Testimonios de herbario en los que se basan los resultados del capítulo correspondiente al género <em>Dasypyrum </em>(Coss. & Durieu) T. Durand (Poaceae), publicado en el libro <em>Flora iberica</em>, vol. XIX(II) Gramineae (partim), ISBN: 978-84-00-10817-5, páginas: 1128-1131 (2021).</p>
Helictochloa Romero Zarco (Poaceae) in Flora iberica XIX(I)
<p>Testimonios de herbario en los que se basan los resultados del capítulo correspondiente al género <em>Helictochloa</em> Romero Zarco (Poaceae), publicado en el libro <em>Flora iberica</em>, vol. XIX(I) Gramineae (partim), ISBN: 978-84-00-10695-9, páginas: 515-546 (2020).</p>
Dactyloctenium Willd. (Poaceae) in Flora iberica XIX(II)
<p>Testimonios de herbario en los que se basan los resultados del capítulo correspondiente al género <em>Dactyloctenium</em> Willd. (Poaceae), publicado en el libro <em>Flora iberica</em>, vol. XIX(II) Gramineae (partim), ISBN: 978-84-00-10817-5, páginas: 1371-1374 (2021).</p>
Corynephorus P. Beauv. (Poaceae) in Flora iberica XIX(I)
<p>Testimonios de herbario en los que se basan los resultados del capítulo correspondiente al género <em>Corynephorus</em> P. Beauv. (Poaceae), publicado en el libro <em>Flora iberica</em>, vol. XIX(I) Gramineae (partim), ISBN: 978-84-00-10695-9, páginas: 498-506 (2020).</p>
Micropyropsis Romero Zarco & Cabezudo (Poaceae) in Flora iberica XIX(I)
<p>Testimonios de herbario en los que se basan los resultados del capítulo correspondiente al género <em>Micropyropsis</em> Romero Zarco & Cabezudo (Poaceae), publicado en el libro <em>Flora iberica</em>, vol. XIX(I) Gramineae (partim), ISBN: 978-84-00-10695-9, páginas: 374-376 (2020).</p>
Aira L. (Poaceae) in Flora iberica XIX(I)
<p>Testimonios de herbario en los que se basan los resultados del capítulo correspondiente al género <em>Aira</em> L. (Poaceae), publicado en el libro <em>Flora iberica</em>, vol. XIX(I) Gramineae (partim), ISBN: 978-84-00-10695-9, páginas: 473-489 (2020).</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.