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39 results for “iNaturalist”
iNaturalist Wild Bees
<p>The dataset contains <strong>726</strong> images of wild bees scraped from the <a href="http://inaturalist.org/">iNaturalist</a> database. There are <strong>25 species</strong> with 30 images each (except for <em>Bombus magnus</em>, that only has 6 images). All photos were marked with <em>Research Grade</em> on iNaturalist and were released under the <em>CC-BY-NC</em> license. Along with the images, a json file is also provided; there you can find the <strong>part annotations for Head, Thorax and Abdomen</strong> for all the photos. The segmentations were drawn in <a href="https://labelstud.io/">Label Studio</a>. For more information on the data, please visit our <a href="https://github.com/TeodorChiaburu/beexplainable">GitHub repository</a> .</p>
Global Biotic Interactions: Elton Dataset Cache iNaturalist
<p>Global Biotic Interactions: Elton Dataset Cache iNaturalist</p><p>The intended use of this archive/cache is to allow for offline-enabled access to versions of existing species interaction datasets provided by iNaturalist. The program "Elton" (https://doi.org/10.5281/zenodo.998263) was used to populate the content of elton-datasets.tar.gz . The same program can be used to extract information from the cache archive also. Global Biotic Interactions (https://globalbioticinteractions.org, https://doi.org/10.1016/j.ecoinf.2014.08.005) also uses these archives to create derived species interaction data archives, search indexes and APIs.</p><p>To get offline-enabled access to versions of other species interactions datasets, please see Global Biotic Interactions: Elton Dataset Cache at https://doi.org/10.5281/zenodo.2007418 .</p><p> </p><p>Contents</p><p>--------</p><p> </p><p>README: the first part of this file</p><p>elton-datasets.tar.gz:versioned archive with species interaction datasets</p><p>elton-datasets.tar.sha256:content signature of elton-datasets.tar</p><p>elton-datasets.tsv:list of included datasets</p><p>elton.jar:commandline program to help access the species interaction datasets</p><p> </p><p>Usage</p><p>-----</p><p> </p><p>To install, extract elton-datasets.tar.gz into a directory of choice using:</p><p> </p><p>tar xfz elton-dataset.tar.gz</p><p> </p><p>To use, download elton.jar included this publication and execute the following to get a list of available datasets:</p><p>java -Xmx4G -jar elton.jar datasets</p><p>on a system that has java v8+ installed.</p><p>If all goes well, you should be able to regenerate the included file elton-dataset.tsv .</p><p>For more information on how to use elton.jar, execute:</p><p>java -jar elton.jar usage</p><p>or visit https://github.com/globalbioticinteractions/elton for more available commands.</p><p>Alternatively, without using Elton, you can access the data by inspecting the access.tsv files in the various directories of the datasets directory.</p><p>When using these datasets in a publication or product, please cite the *original* data providers and publications. You can find the citations in the data.</p><p>Included datasets:</p><p>globalbioticinteractions/inaturalist https://github.com/globalbioticinteractions/inaturalist/archive/db6545f3d7afd88f48064dddb9f4692603545a44.zip 2023-10-14T00:29:47.032Z application/globi</p><p>globalbioticinteractions/inaturalist https://github.com/globalbioticinteractions/inaturalist/archive/db6545f3d7afd88f48064dddb9f4692603545a44.zip 9a1342936d3abd508a039b4216a9c3b18b6d135160338c966f40a6fee3191731 2023-10-14T00:29:49.693Z</p><p>globalbioticinteractions/inaturalist https://www.inaturalist.org/observations/globi-observations-resource-relationships-dwca.zip 32642cd31854c4e4c93e40ed2e0117819be2397b736bff12bee32e5045204df2 2023-10-14T00:30:04.130Z</p><p>globalbioticinteractions/inaturalist https://github.com/globalbioticinteractions/inaturalist/archive/db6545f3d7afd88f48064dddb9f4692603545a44.zip 9a1342936d3abd508a039b4216a9c3b18b6d135160338c966f40a6fee3191731 2023-10-14T00:34:30.397Z</p><p>globalbioticinteractions/inaturalist https://www.inaturalist.org/taxa/inaturalist-taxonomy.dwca.zip b3355c65d28c3dc7a4e9b66d6e20bf603d91c68e6c392473be93ed43e680055c 2023-10-14T00:34:40.679Z</p><p>globalbioticinteractions/inaturalist https://github.com/globalbioticinteractions/inaturalist/archive/db6545f3d7afd88f48064dddb9f4692603545a44.zip 9a1342936d3abd508a039b4216a9c3b18b6d135160338c966f40a6fee3191731 2023-10-14T00:35:17.450Z</p>
Figura 1 in Notas sobre las mantis (Insecta: Mantodea) de Chile: síntesis basada en la literatura y en la plataforma iNaturalist
Figura 1. Mapa de distribución provincial de Musonia margheritae (azul) y Coptopteryx gayi (amarillo) / Provincial distribution map of Musonia margheritae (blue) and Coptopteryx gayi (yellow).
Figura 3 in Notas sobre las mantis (Insecta: Mantodea) de Chile: síntesis basada en la literatura y en la plataforma iNaturalist
Figura 3. Macho (A) y hembra (B) de Coptopteryx gayi. Fotografías de: Claudio Maureira y Sergio Contreras. / Male (A) and female (B) of Coptoperyx gayi. Photos by: Claudio Maureira and Sergio Contreras.
Datos de observaciones de hongos en iNaturalist restringido a los países de Sudamérica
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iNaturalist dataset for the atlantic forest
<p>This is a dataset of the iNaturalist platform based on the limits of the atlantic forest. Data accessed at 17 august 2022.</p>
iNaturalist: iNat images from GBIF (100 per taxon) (deprecated)
<p></p>http://www.inaturalist.org/ is a place where you can record what you see in nature, meet other nature lovers, and learn about the natural world. Images and data published on EOL originate from iNaturalist Research Grade observations.<p></p>- 100 images per taxon - without any image scoring considered
iNaturalist: iNat images from GBIF (20 per taxon) with scoring
<p></p>http://www.inaturalist.org/ is a place where you can record what you see in nature, meet other nature lovers, and learn about the natural world. Images and data published on EOL originate from iNaturalist Research Grade observations.<p></p>100-select-20: From a pool of 100 images/taxon select 20
iNaturalist: iNaturalist image source file (deprecated)
<p></p>http://www.inaturalist.org/ is a place where you can record what you see in nature, meet other nature lovers, and learn about the natural world. Images and data published on EOL originate from iNaturalist Research Grade observations.<p></p><p></p>http://www.inaturalist.org/ is a place where you can record what you see in nature, meet other nature lovers, and learn about the natural world. Images and data published on EOL originate from iNaturalist Research Grade observations.
Hong Kong Jellyfish Project 2021 Website and iNaturalist observations
<p>Jellyfish are important organisms within marine ecosystems, although the extent of their occurrence and diversity is likely underestimated, particularly for biodiversity-rich locations such as the Indo-Pacific. The potential for citizen science to monitor phenomena associated with these Cnidarians over large spatial scales has been recognized in an increasingly broad array of locations, including the Mediterranean, South Africa, and the UK. Here, we were interested if such an approach could be used to understand more about their presence, seasonal occurrence and distribution in Hong Kong. To address these areas, the Hong Kong Jellyfish Project was launched in early 2021 with citizen scientists invited to submit photographs and simple information (date, time, location, number of jellyfish) to a project website or a collection project on the online citizen science biodiversity platform iNaturalist . For some of these observations, jellyfish were sampled and DNA analysis conducted to confirm morphologically-based identification. During 2021, over 380 observations of jellyfish were submitted through the website and iNaturalist project, with 19 species recorded as present. The species most frequently recorded were Cyanea nozakii and Rhopilema hispidum , and two new species records of Thysanostoma loriferum and Netrostoma setouchianum were documented for Hong Kong . There was a seasonal trend in observations, with most jellyfish seen in March-May. Finally, there was a broad geographical distribution of observations throughout Hong Kong’s coastal waters, with more observations made in the south/east. Together, these observations gathered by citizen scientists indicate a broad distribution of jellyfish – and the occurrence of previously undocumented species – in Hong Kong’s waters. </p>
Students as citizen scientists: project-based learning through the iNaturalist platform could provide useful biodiversity data
<p>This is a compilation of data from iNaturalist platform based on the geographic limits of brazilian semiarid until 28 october, 2022.</p>
Classification of pictures taken from Flickr and iNaturalist for cultural ecosystem services in Minho Region Portugal
<p>This is classification dataset of photographs from Flirck and iNaturalist applied to buffer 500 meters of main cours rivers Minho, Lima and Cávado in Minho Region (NW Portugal), in between the years 2018- 2019 for cultural ecosystem services studies. Four categories assigned as follows: i) landscape; ii) historical heritage; iii) recreation and river beaches; iv) biodiversity.</p>
Expert review of iNaturalist identifications of Australian millipedes in GBIF
<p>This tab-separated file ("millipede_review.txt") is derived from the "verbatim.txt" file in a Darwin Core archive downloaded 2023-03-24 from GBIF (DOI: <a href="https://doi.org/10.15468/dl.jtpncb">https://doi.org/10.15468/dl.jtpncb</a>). The 2029 records in the download are "Research Grade" <em>iNaturalist</em> observations of millipedes observed in Australia. Encoding is UTF-8.</p> <p>The dataset has the following Darwin Core fields from "verbatim.txt" and my added fields (fieldnames in capitals):</p> <p>gbifID = GBIF occurrence record code; record accessible as https://www.gbif.org/occurrence/[gbifID]</p> <p>catalogNumber = <em>iNaturalist</em> observation number; record accessible as https://www.inaturalist.org/observations/[catalogNumber]</p> <p>scientificName = the taxon identification made on the <em>iNaturalist</em> platform and accepted by GBIF</p> <p>IDCHECK = my assessment of the identification (see below)</p> <p>COMMENT = my explanation for doubting an identification (see below)</p> <p>recordedBy = the name used for copyright assignment by the original observer on <em>iNaturalist</em></p> <p>USERNAME = the<em> iNaturalist</em> username of the original observer</p> <p>RGID1 = the <em>iNaturalist</em> username of the first person to suggest the final, accepted identification</p> <p>RGID2 = the<em> iNaturalist</em> username of the second person to suggest the final, accepted identification</p> <p>RGID3 = the <em>iNaturalist</em> username of the third person to suggest the final, accepted identification</p> <p>RGID4 = the <em>iNaturalist</em> username of the fourth person to suggest the final, accepted identification</p> <p>RGID5 = the<em> iNaturalist</em> username of the fifth person to suggest the final, accepted identification</p> <p>I reviewed the images and image sets on <em>iNaturalist</em> that are referred to in these records between 2023-03-24 and 2023-04-02. I classed the <em>iNaturalist</em> identifications in the IDCHECK field as follows:</p> <p>correct - The image clearly shows the diagnostic characters of the taxon</p> <p>likely - The ID is probably correct, but I can't be sure because diagnostic characters aren't clearly visible in the image</p> <p>possible - The ID might be correct, but the image isn't good enough to distinguish the identified taxon from another, similar taxon</p> <p>unlikely - The ID is probably incorrect because the image appears to show a different taxon, although diagnostic characters aren't clearly visible</p> <p>incorrect - The image clearly shows the diagnostic characters of a different taxon</p>
iNaturalist data for: Multi-taxon biodiversity responses to the 2019–2020 Australian megafires
<p><span>Conditions conducive to fires are becoming increasingly common and widespread under climate change. Recent fire events across the globe have occurred over unprecedented scales, affecting a diverse array of species and habitats. Understanding biodiversity responses to such fires is critical for conservation. Quantifying post-fire recovery is problematic across taxa, from insects to plants to vertebrates, especially at large geographic scales. Novel datasets can address this challenge. We use presence-only citizen science data from iNaturalist, collected before and after the 2019-2020 megafires in burnt and unburnt regions of eastern Australia, to quantify the effect of post-fire diversity responses, up to 18 months post-fire. The geographic, temporal, and taxonomic sampling of this dataset was large, but sampling effort and species discoverability were unevenly spread. We used rarefaction and prediction (iNEXT) with which we controlled sampling completeness among treatments, to estimate diversity indices (Hill numbers: q=0-2) among nine broad taxon groupings and seven habitats, including 3885 species. We estimated an increase in species diversity up to 18 months after the 2019–2020 Australian megafires in regions which were burnt, compared to before the fires in burnt and unburnt regions. Diversity estimates in dry sclerophyll forest matched and likely drove this overall increase post-fire, while no taxon groupings showed clear increases inconsistent with both control treatments post-fire. Compared to unburnt regions, overall diversity across all taxon groupings and habitats greatly decreased in areas exposed to extreme fire severity. Post-fire life histories are complex and species detectability is an important consideration in all post-fire sampling. We demonstrate how fire characteristics, distinct taxa, and habitat influence biodiversity, as seen in local-scale datasets. Further integration of large-scale datasets with small-scale studies will lead to a more robust understanding of fire recovery.</span></p>
iNaturalist data for: Multi-taxon biodiversity responses to the 2019–2020 Australian megafires
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iNaturalist data on South American ray-finned fish
<p>Cleaned dataset of South American ray-finned fish from iNaturalist platform with classified observations based on the status of the fish (live/dead), characteristics of the species (taxonomy and habitat) and the circumstances of the observation (e.g., fishing or diving). Species attributes compiled from fishbase are also provided for each observation. Two appendices are available with summarized data by species and maps with distribution of observations by orders.</p>
iNaturalist como plataforma para documentar la funga chilena
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FIGURES 27–30. Druon gregori. 27. Lateral habitus. 28. Head frontal. 29. Dorsal habitus. 30 in Discovery through iNaturalist: new species and new records of oak gall wasps (Hymenoptera: Cynipidae: Cynipini) from Texas, USA
FIGURES 27–30. Druon gregori. 27. Lateral habitus. 28. Head frontal. 29. Dorsal habitus. 30. Asexual generation gall.
FIGURES 23–26. Striatoandricus aciculatus. 23. Holotype lateral habitus. 24. Holotype head frontal. 25. Holotype dorsal habitus. 26 in Discovery through iNaturalist: new species and new records of oak gall wasps (Hymenoptera: Cynipidae: Cynipini) from Texas, USA
FIGURES 23–26. Striatoandricus aciculatus. 23. Holotype lateral habitus. 24. Holotype head frontal. 25. Holotype dorsal habitus. 26. Asexual generation gall.
FIGURES 19–22. Andricus lustrans. 19. Holotype lateral habitus. 20. Holotype head frontal. 21. Holotype dorsal habitus. 22 in Discovery through iNaturalist: new species and new records of oak gall wasps (Hymenoptera: Cynipidae: Cynipini) from Texas, USA
FIGURES 19–22. Andricus lustrans. 19. Holotype lateral habitus. 20. Holotype head frontal. 21. Holotype dorsal habitus. 22. Asexual generation gall.
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)
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DANDI Archive for NWB datasets
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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.