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277 results for “occurrence records”
Data from: Palaeoscolecids from the Ludlow Series of Leintwardine, Herefordshire (UK) – the latest occurrence of palaeoscolecids in the fossil record.
<p>The documentation of cuticular micro-ornament is vital for the taxonomic assignment of palaeoscolecids – vermiform lower Palaeozoic ecdysozoans interpreted as stem-group priapulans or early diverging panarthropods. This is due to the absence of the character-rich proboscis and tail hooks in palaeoscolecid material not from Burgess Shale-type Konservat-Lagerstätten. Here, the cuticular micro-ornamentation of palaeoscolecids from the upper Silurian (Ludlow) fauna of Leintwardine (Herefordshire, England), is described using scanning electron microscopy (SEM) and Reflectance Transformation Imaging (RTI). This material is taxonomically unstable as it was included in an effective wastebasket genus (Protoscolex) long before these imaging techniques were developed. This reveals the Leintwardine material is most closely comparable to a palaeoscolecid from the Darriwilian (Middle Ordovician) of the Builth-Llandrindod inlier, Powys, Wales and is transferred accordingly to Radnorscolex Botting et al. as Radnorscolex latus Bather. The Leintwardine fauna represents the uppermost stratigraphic occurrence of palaeoscolecids, constrained to the Saetograptus leintwardinensis Zone (lower Ludfordian), and the comparatively sparse Silurian palaeoscolecid record is subsequently discussed. It is hypothesised palaeoscolecids may have become extinct during the mid-Ludfordian Lau Event, the onset of which is recorded in the biozone immediately above the Leintwardine fauna (Bohemograptus Zone). Finally, the British palaeoscolecid fauna is summarised, including a new record from the Dapingian (Middle Ordovician) of Carmarthenshire, South Wales. --</p>
Figure 2. Megaleporinus macrocephalus, MZUEL 20221, 387.10 in New records of the occurrence of Megaleporinus macrocephalus (Garavello & Britski, 1988) (Characiformes, Anostomidae) from the basins of the Itapecuru and Mearim rivers in Maranhão, Northeastern Brazil
Figure 2. Megaleporinus macrocephalus, MZUEL 20221, 387.10 mm SL.
An audit of some processing effects in aggregated occurrence records
<p>These files include original and processed data from a study of data filtering by the Atlas of Living Australia (ALA) and the Global Biodiversity Information Facility (GBIF). The study has been submitted for publication on 2018-03-04 as the paper "An audit of some filtering effects in aggregated occurrence records" and details of data sources and processing are in that manuscript. ALA and GBIF sourced occurrence records from the Australian Museum (AM) [Malacology], Museums Victoria (MV) [Entomology] and the New Zealand Arthropod Collection (NZAC). The unprocessed ALA and GBIF data are in the zipped files AM-ALA_download.zip, MV-ALA_download.zip, AM-GBIF_verbatim.download.zip, AM-GBIF_occurrence.download.zip, MV-GBIF_verbatim.download.zip, MV-GBIF_occurrence.download.zip, NZAC-GBIF_verbatim.download.zip and NZAC-GBIF_occurrence.download.zip. The processed data are in a single zip file name_change_tables_and_data_notes_ver_.zip. The processed data are my own work and are here made available under a CCA 4.0 licence. Full citations for the ALA and GBIF data are as follows:<br> AM Malacology from ALA<br> Atlas of Living Australia occurrence download at https://biocache.ala.org.au/occurrences/search?&q=collection_uid%3Aco114 accessed on Wed Feb 14 18:44:13 AEDT 2018<br> AM from GBIF<br> Australian Museum (2017). Australian Museum provider for OZCAM. Occurrence Dataset https://doi.org/10.15468/e7susi accessed via GBIF.org on 2018-02-14 [Malacology section records extracted and archived here]<br> MV from ALA<br> Atlas of Living Australia occurrence download at https://biocache.ala.org.au/occurrences/search?&q=data_resource_uid%3Adr342 accessed on Wed Jan 31 06:42:40 AEDT 2018 [Entomology section records extracted and archived here]<br> MV from GBIF<br> Museums Victoria (2017). Museums Victoria provider for OZCAM. Occurrence Dataset https://doi.org/10.15468/lp1ctu accessed via GBIF.org on 2018-01-30 [Entomology section records extracted and archived here]<br> NZAC from GBIF<br> Wilton A (2018). New Zealand Arthropod Collection (NZAC). Version 1.67. Landcare Research. Occurrence Dataset https://doi.org/10.15468/lrgzz9 accessed via GBIF.org on 2018-01-08</p>
Figure 1. A in First records of spongillaflies (Neuroptera: Sisyridae) in Serbia and Bosnia and Herzegovina, with notes on their occurrence in the Balkan countries
Figure 1. A male of Sisyra terminalis. Note the whitish terminal part of the antenna.
Figure 5 in First records of spongillaflies (Neuroptera: Sisyridae) in Serbia and Bosnia and Herzegovina, with notes on their occurrence in the Balkan countries
Figure 5. The river Zapadna Morava near Kruševac, Serbia, a collecting place of Sisyra terminalis.
Figure 2 in First records of spongillaflies (Neuroptera: Sisyridae) in Serbia and Bosnia and Herzegovina, with notes on their occurrence in the Balkan countries
Figure 2. Genital structures of the male of Sisyra nigra (left) and Sisyra terminalis (right).
Mammal occurrence records (2022-24) from Sakleshpura, central Western Ghats, India
<p><strong>Mammal occurrence records (2022-24) from Sakleshpura, central Western Ghats, India</strong></p> <p>This dataset contains mammal occurrence records from 2022 to 2024 in the Sakleshpura region of central Western Ghats, India. It includes a few occurrence records of other chordates. Occurrence records were gathered in the field by researchers of the Nature Conservation Foundation, India, using a mobile data collection application. Suggested citation is:<br>Nature Conservation Foundation (2024). Mammal occurrence records (2022-24) from Sakleshpura, central Western Ghats, India. Nature Conservation Foundation, India. Dataset</p> <p><strong>Keywords:</strong> tropical rainforest, plantations, Sakleshpura, animal distribution, Western Ghats</p> <p><strong>CONTACT #1</strong><br>1. Name: Anand M Osuri<br>2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br>3. Work Phone: +91 821 2515601<br>4. Email address: aosuri@ncf-india.org<br>5. ORCID: https://orcid.org/0000-0001-9909-5633</p> <p><strong>CONTACT #2</strong><br>1. Name: Vijay Karthick<br>2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br>3. Work Phone: +91 821 2515601<br>4. Email address: vijayk@ncf-india.org <br>5. ORCID: https://orcid.org/0000-0001-6023-3955</p> <p><strong>CONTACT #3</strong><br>1. Name: Vijay Kumar<br>2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br>3. Work Phone: +91 821 2515601<br>4. Email address: vijaykumar@ncf-india.org <br>5. ORCID: https://orcid.org/0009-0000-4149-0083</p> <p><br><strong>Geographic Coverage:</strong><br>1. Location/Study Area: Sakleshpura, Karnataka, India<br>2. GPS coordinates: Kadamane Village (12.924647, 75.654650)</p> <p><strong>Temporal Coverage:</strong><br>1. Begins: 2022-05-16 (Year, Month, Day)<br>2. Ends: 2024-05-22 (Year, Month, Day)</p> <p>Besides the 000_readMe.txt file containing this information and the 14 images associated with individual observations, the dataset includes three comma-delimited text (csv) files, and one R code file as explained below:<br>1) <strong>001_mammalData.csv</strong> -- This file has the main mammal occurrence data with relevant and renamed columns derived from the original downloaded Excel worksheet file</p> <p>2) <strong>002_placeLocs.csv</strong> -- This file lists names places for which the GPS location was unavailable from the mobile phone application, and was manually assigned to coordinates with 500 or 1000m accuracy</p> <p>3) <strong>003_nameMatch.csv</strong> -- This file matches the name as originally recorded with the correct common name and scientific name</p> <p>4) <strong>004_GBIF_upload_code.R </strong>-- R code for processing the files to create a file for upload as an occurrence dataset on the Global Biodiversity Information Facility (GBIF.org)</p> <p>5) <strong>005_download_images_from_googledrive.R</strong> - R code to extract image IDs and download images from googledrive</p> <p>6) <strong>006_kadamane_mammal_occurrence.xls</strong>x - An excel file that contains the raw data and used in the codes above</p> <p>FILES INCLUDED IN DATASET</p> <p><strong>001_mammaldata.csv</strong><br>This file has the main mammal occurrence data with relevant and renamed columns derived from the original downloaded Excel worksheet file </p> <p>observers: Observers who made the observation<br>timestamp: Automatic time stamp of date and time when app was used<br>date: Date of observation<br>time: Time of observation<br>decimalLatitude: Latitude in decimal degrees N<br>decimalLongitude: Longitude in decimal degrees E<br>GPSaltitude: Altitude in metres<br>GPSaccuracy: Horizontal accuracy of GPS location in metres<br>place: Name of locality<br>habitat: Habitat type<br>taxa: mammal or reptile/amphibian<br>species: Species common name<br>count: Number of individuals observed<br>countType: Total (solitary or fully counted groups) or Partial (incompletely counted groups)<br>obsType: Type of observation: sighting, sign (droppings or vocalisation), death, roadkill, electrocution, other<br>notes: Notes or remarks on observation<br>imageID: Link to the google drive photo, if photo is available<br>instanceID: Automatically generated unique identifier of observation</p> <p><strong>002_placeLocs.csv</strong><br>This file lists names places for which the GPS location was unavailable from the mobile phone application, and was manually assigned to coordinates with 500 m accuracy</p> <p>place: Name of locality as recorded<br>lat: Assigned latitude in decimal degrees N<br>long: Assigned longitude in decimal degrees E<br>GPSaccuracy: Assigned as 500 or 1000m – Horizontal accuracy of GPS location in metres</p> <p><strong>003_nameMatch.csv</strong><br>This file matches the name as originally recorded with the correct common name and scientific name.</p> <p>verbatimIdentification: Identification as originally recorded in the ‘species’ column of the mammaldata.csv file<br>vernacularName: Common or english name<br>scientificName: Scientific name</p> <p><strong>004_GBIF_upload_code.R</strong><br>R code for processing the files to create a file for upload as an occurrence dataset on the Global Biodiversity Information Facility (GBIF.org)</p> <p><strong>005_download_images_from_googledrive.R</strong><br>R code that extracts imageIDs from the 001_mammalData.csv file and downloads them automatically to a preferred directory</p> <p><strong>006_kadamane_mammal_occurrence.xlsx</strong><br>An excel file that contains the raw data and used in the codes above</p>
The occurrence records of Solenopsis invicta
<p>We initially built a robust database of occurrence data for S. invicta, covering its native range (South America) and invaded range (North America). Occurrence records of S. invicta were obtained from Global Biodiversity Information Facility (GBIF; https://www.gbif.org/), AntWeb (https://www.antweb.org/) and AntMap (https://antmaps.org/). We also incorporated distribution records of S. invicta provided by Wetterer (2013) into the dataset. To minimize spatial sampling bias, we used the nearest neighbor distance (NND) method to thin the data, where occurrence points that were less than 1 km from each other were removed. In parallel, we noted that there were still some distribution records of S. invicta in regions north of 40° North Latitude, although S. invicta is considered a tropical insect. We consulted online distribution records of S. invicta at the Centre for Agriculture and Biosciences International (CABI; https://www.cabidigitallibrary.org/doi/10.1079/cabicompendium.50569), and National Invasive Species Information Center (NISIC; https://www.invasivespeciesinfo.gov/terrestrial/invertebrates/red-imported-fire-ant), but no clear information could be found to support the accuracy of the distribution records at these high latitudes. We thus removed these records to avoid interference caused by the temporary, seasonal distribution and possible erroneous records. Therefore, a total of 6,122 records (421 and 5,701 for the native and invaded ranges, respectively) were retained.</p>
A Study Using Medical Records of Danish People With Type 2 Diabetes Comparing Empagliflozin and Glucagon-Like Peptide-1 Receptor Agonists (GLP1-RA) in the Occurrence of Serious Cardiovascular Outcomes
ClinicalTrials.gov study NCT03993132. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Influence of different data cleaning solutions of point-occurrence records on downstream macroecological diversity models
Open the record for dataset details and reuse information.
Data from: Palaeoscolecids from the Ludlow Series of Leintwardine, Herefordshire (UK) – the latest occurrence of palaeoscolecids in the fossil record
Open the record for dataset details and reuse information.
Maxent species distribution modelling of 10 cetacean species in the northeastern Pacific from citizen science occurrence records
Open the record for dataset details and reuse information.
Figure 1 in New occurrences and host records for two species of parasitic isopods (Isopodaı Cymothoidaı Bopyridae) associated with caridean shrimps (Decapodaı Caridea) from Brazil
Figure 1. Parabopyrella lata (Nierstrasz and Brender à Brandis, 1929), female (UFRGS 6629): (a), habitus dorsal view; (b), habitus ventral view; (c), antennule (left) and antenna (right); (d), barbula; (e), maxilliped; (f), maxilliped palp; (g), maxilliped spur; (h), oostegite 1, outer view; (i), oostegite 1, inner view; (j), right pereopod 1; (k), right pereopod 7; (l), left pleopods. Scale bars: (a) and (b) = 1.0 mm; (c) = 0.1 mm; (d) = 0.5 mm; (e) = 0.35 mm; (f) and (g) = 0.1 mm; (h–k) and l = 0.5 mm.
FIGURE 10. Seriaster regularis. NSMT-E-10637. A in New species and occurrence records of Japanese Solasteridae and Ganeriidae including a new species of Paralophaster from the North Pacific with an overview of Hyalinothrix
FIGURE 10. Seriaster regularis. NSMT-E-10637. A. Abactinal surface. Scale bar=0.5 cm. B. Close-up of abactinal paxillae. Scale bar=1.0 mm. C. Oral surface. Scale bar=0.5 cm. D. Close-up of tube foot furrow and adambulacral plates. Scale bar=1.0 mm.
FIGURE 9. Hyalinothrix vitrispinus n in New species and occurrence records of Japanese Solasteridae and Ganeriidae including a new species of Paralophaster from the North Pacific with an overview of Hyalinothrix
FIGURE 9. Hyalinothrix vitrispinus n. sp. Holotype, NSMT-E6916. A. Abactinal surface. Scale bar=1.0 cm. B. Close-up of abactinal paxillae. Scale bar=1.0 mm. C. Oral surface. Scale bar=1.0 cm. D. Close-up of actinal surface, adambulacral plates and accessories. Scale bar=0.5 cm.
FIGURE 5. Hyalinothrix diversus n in New species and occurrence records of Japanese Solasteridae and Ganeriidae including a new species of Paralophaster from the North Pacific with an overview of Hyalinothrix
FIGURE 5. Hyalinothrix diversus n. sp. Holotype, NMEC 6915. Scale bar=1.0 cm except for C and F. A. Abactinal surface. B. Close-up of abactinal surface. C. Close-up showing abactinal-lateral paxillae transition. Scale bar=2.0 mm. D. Oral surface. E. Actinolateral edge. F. Furrow region showing adambulacral plates and spination. Scale bar=0.5 cm
FIGURE 7. Hyalinothrix gracilis NSMT E-7101. A in New species and occurrence records of Japanese Solasteridae and Ganeriidae including a new species of Paralophaster from the North Pacific with an overview of Hyalinothrix
FIGURE 7. Hyalinothrix gracilis NSMT E-7101. A. Abactinal surface. Scale bar=1.0 cm. B. Close-up of abactinal paxillae. Scale bar=2.0 mm. C. Oral surface. Scale bar=1.0 cm. D. Close-up of actinal intermediate area and tube foot region showing adambulacral plates and furrow spination. Scale bar=0.5 cm.
FIGURE 1 in New species and occurrence records of Japanese Solasteridae and Ganeriidae including a new species of Paralophaster from the North Pacific with an overview of Hyalinothrix
FIGURE 1. Simplified tree showing relationships between the Solasteridae, Asterinidae and Ganeriidae from Mah & Foltz (2011).
FIGURE 17. Sthenaster emmae. A. Central Plateau scarp, 870 m. B. Central Plateau Scarp, 874 m C. Central Plateau Scarp, 865 m D in New species, occurrence records and observations of predation by deep-sea Asteroidea (Echinodermata) from the North Atlantic by NOAA ship Okeanos Explorer
FIGURE 17. Sthenaster emmae. A. Central Plateau scarp, 870 m. B. Central Plateau Scarp, 874 m C. Central Plateau Scarp, 865 m D. Richardson's Jellyfish, 865 m
FIGURE 15. Sibognaster bathyheuretor n in New species, occurrence records and observations of predation by deep-sea Asteroidea (Echinodermata) from the North Atlantic by NOAA ship Okeanos Explorer
FIGURE 15. Sibognaster bathyheuretor n. sp. Holotype. USNM 1507293 A. Abactinal surface. Scale bar=5.0 mm. B. Close up abactinal surface. Scale bar=8.0 mm. C. Oral surface. Scale bar=5.0 mm. D. Furrow spination. Scale bar=1.0 mm. E. Lateral view showing marginal plate surface. Scale bar=2.0 mm.
ScienceDex guides
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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.