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Dataset for paper Spotting the Hook: Leveraging Domain Data for Advanced Phishing Detection
<p>The dataset contains DNS records, IP-related features, WHOIS/RDAP information, information from TLS certificate fields, and GeoIP information for 432,572 benign domains from Cisco Umbrella and 68,353 phishing domains from PhishTank and OpenPhish services. The ground truth for the phishing dataset was double-check with the VirusTotal (VT) service. Domain names not considered as phishing by VT have been removed. The data was collected between March and November 2023.The final assessment of the data was conducted in December 2023.</p> <p>The dataset is useful for statistical analysis of domain data or feature extraction for training machine learning-based classifiers, e.g. for phishing detection. </p> <h1>Data Files</h1> <p>The data is located in two individual files:</p> <ul> <li><strong>benign.json</strong> - data for 432,572 benign domains, and</li> <li><strong>phishing.json</strong> - data for 68,353 phishing domains.</li> </ul> <h1>Data Structure</h1> <div> <p>Both files contain a JSON array of records generated using mongoexport. The following table documents the structure of a record. Please note that:</p> <ul> <li>some fields may be missing (they should be interpreted as nulls), </li> <li>extra fields may be present (they should be ignored), </li> <li>due to a processing error, the common_name field of the certificate objects always contains trailing symbols: <code>‘></code> .</li> </ul> </div> <table> <tbody> <tr> <td> <div> <div> <p><strong>Field name </strong></p> </div> </div> </td> <td> <div> <div> <p><strong>Field type </strong></p> </div> </div> </td> <td> <div> <div> <p><strong>Nullable </strong></p> </div> </div> </td> <td> <div> <div> <p><strong>Description </strong></p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>domain_name </p> </div> </div> </td> <td> <div> <div> <p>String </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>The evaluated domain name </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>url </p> </div> </div> </td> <td> <div> <div> <p>String </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>The source URL for the domain name </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>evaluated_on </p> </div> </div> </td> <td> <div> <div> <p>Date </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>Date of last collection attempt </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>source </p> </div> </div> </td> <td> <div> <div> <p>String </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>An identifier of the source </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>sourced_on </p> </div> </div> </td> <td> <div> <div> <p>Date </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>Date of ingestion of the domain name </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>dns </p> </div> </div> </td> <td> <div> <div> <p>Object </p> </div> </div> </td> <td> <div> <div> <p>Yes </p> </div> </div> </td> <td> <div> <div> <p>Data from DNS scan </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>rdap </p> </div> </div> </td> <td> <div> <div> <p>Object </p> </div> </div> </td> <td> <div> <div> <p>Yes </p> </div> </div> </td> <td> <div> <div> <p>Data from RDAP or WHOIS </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>tls </p> </div> </div> </td> <td> <div> <div> <p>Object </p> </div> </div> </td> <td> <div> <div> <p>Yes </p> </div> </div> </td> <td> <div> <div> <p>Data from TLS handshake </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>ip_data </p> </div> </div> </td> <td> <div> <div> <p>Array of Objects </p> </div> </div> </td> <td> <div> <div> <p>Yes </p> </div> </div> </td> <td> <div> <div> <p>Array of data objects capturing the IP addresses related to the domain name </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p><strong>DNS data (dns field) </strong></p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>A </p> </div> </div> </td> <td> <div> <div> <p>Array of Strings </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>Array of IPv4 addresses </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>AAAA </p> </div> </div> </td> <td> <div> <div> <p>Array of Strings </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>Array of IPv6 addresses </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>TXT </p> </div> </div> </td> <td> <div> <div> <p>Array of Strings </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>Array of raw TXT values </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>CNAME </p> </div> </div> </td> <td> <div> <div> <p>Object </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>The CNAME target and related IPs </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>MX </p> </div> </div> </td> <td> <div> <div> <p>Array of Objects </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>Array of objects with the MX target hostname, priority and related IPs </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>NS </p> </div> </div> </td> <td> <div> <div> <p>Array of Objects </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>Array of objects with the NS target hostname and related IPs </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>SOA </p> </div> </div> </td> <td> <div> <div> <p>Object </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>All the SOA fields, present if found at the target domain name </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>zone_SOA </p> </div> </div> </td> <td> <div> <div> <p>Object </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>The SOA fields of the target’s zone (closest point of delegation), present if found and not a record in the target domain directly </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>dnssec </p> </div> </div> </td> <td> <div> <div> <p>Object </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>Flags describing the DNSSEC validation result for each record type </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>ttls </p> </div> </div> </td> <td> <div> <div> <p>Object </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>The TTL values for each record type </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>remarks </p> </div> </div> </td> <td> <div> <div> <p>Object </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>The zone domain name and DNSSEC flags </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p><strong>RDAP data (rdap field) </strong></p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>copyright_notice </p> </div> </div> </td> <td> <div> <div> <p>String </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>RDAP/WHOIS data usage copyright notice </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>dnssec </p> </div> </div> </td> <td> <div> <div> <p>Bool </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>DNSSEC presence flag </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>entitites </p> </div> </div> </td> <td> <div> <div> <p>Object </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>An object with various arrays representing the found related entity types (e.g. abuse, admin, registrant). The arrays contain objects describing the individual entities. </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>expiration_date </p> </div> </div> </td> <td> <div> <div> <p>Date </p> </div> </div> </td> <td> <div> <div> <p>Yes </p> </div> </div> </td> <td> <div> <div> <p>The current date of expiration </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>handle </p> </div> </div> </td> <td> <div> <div> <p>String </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>RDAP handle </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>last_changed_date </p> </div> </div> </td> <td> <div> <div> <p>Date </p> </div> </div> </td> <td> <div> <div> <p>Yes </p> </div> </div> </td> <td> <div> <div> <p>The date when the domain was last changed </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>name </p> </div> </div> </td> <td> <div> <div> <p>String </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>The target domain name for which the data in this object are stored </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>nameservers </p> </div> </div> </td> <td> <div> <div> <p>Array of Strings </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>Nameserver hostnames provided by RDAP or WHOIS </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>registration_date </p> </div> </div> </td> <td> <div> <div> <p>Date </p> </div> </div> </td> <td> <div> <div> <p>Yes </p> </div> </div> </td> <td> <div> <div> <p>First registration date </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>status </p> </div> </div> </td> <td> <div> <div> <p>Array of Strings </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>The state of the registered object [TODO] </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>terms_of_service_url </p> </div> </div> </td> <td> <div> <div> <p>String </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>URL of the RDAP usage ToS </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>url </p> </div> </div> </td> <td> <div> <div> <p>String </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>URL of the RDAP entity </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>whois_server </p> </div> </div> </td> <td> <div> <div> <p>String </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>WHOIS server address </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p><strong>TLS data (tls field) </strong></p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>cipher </p> </div> </div> </td> <td> <div> <div> <p>String </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>TLS cipher suite description according to [TODO] </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>protocol </p> </div> </div> </td> <td> <div> <div> <p>String </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>One of “TLS”, ”TLSv1.2”, ”TLSv1.3” </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>certificates </p> </div> </div> </td> <td> <div> <div> <p>Array of Objects </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>Array of objects representing the certificate chain, the first element is the root certificate </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p><strong>IP data (elements in the ip_data array) </strong></p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>ip </p> </div> </div> </td> <td> <div> <div> <p>String </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>The IP address </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>from_record </p> </div> </div> </td> <td> <div> <div> <p>String </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>The type of the DNS record the address was captured from </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>remarks </p> </div> </div> </td> <td> <div> <div> <p>Object </p> </div> </div> </td> <td> <div> <div> <p>No </p> </div> </div> </td> <td> <div> <div> <p>Ping round-trip time, “is alive” flag and rdap/geo/asn evaluation dates </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>rdap </p> </div> </div> </td> <td> <div> <div> <p>Object </p> </div> </div> </td> <td> <div> <div> <p>Yes </p> </div> </div> </td> <td> <div> <div> <p>RDAP data, similar to DNS RDAP, see the JSON Schema for details </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>geo </p> </div> </div> </td> <td> <div> <div> <p>Object </p> </div> </div> </td> <td> <div> <div> <p>Yes </p> </div> </div> </td> <td> <div> <div> <p>Geolocation data from the GeoLite2 City database (e.g. latitude, longitude, city, country, etc.) </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>asn </p> </div> </div> </td> <td> <div> <div> <p>Object </p> </div> </div> </td> <td> <div> <div> <p>Yes </p> </div> </div> </td> <td> <div> <div> <p>Autonomous system data from the GeoLite2 ASN database (ASN, organization, network) </p> </div> </div> </td> </tr> </tbody> </table> <h1>Acknowledgements</h1> <p>We would like to thank the OpenPhish Team for grating permission to use and publish their dataset. We also thank VirusTotal for providing us access to the API for research purposes. The research has been supported by the <strong>Flow-based Encrypted Traffic Analysis</strong> project, no. VJ02010024, granted by the Ministry of the Interior of the Czech Republic and the <strong>Smart Information Technology for a Resilient Society </strong>project, no. FIT-S-23-8209, granted by Brno University of Technology.</p>
Fig. 2 in Age and growth of the four-spotted megrim (Lepidorhombus boscii Risso, 1810) from Saros Bay (Northern Aegean Sea, Turkey)
Fig. 2: Blind side (a) otolith; ocular side (b) otolith and nucleus (N).
Fig. 1 in Age and growth of the four-spotted megrim (Lepidorhombus boscii Risso, 1810) from Saros Bay (Northern Aegean Sea, Turkey)
Fig. 1: Saros Bay and sampling stations.
Fig.3 in Fenetic Analysis Of Bombina Bombina Ventral Spots Pattern In 8 Localizations In Latvia
Fig.3. Examples of phenomorphs' clusters.
Figure 6 in Endangered White-spotted Ketsi Blue butterfly, Lepidochrysops ketsi leucomacula, in KwaZulu-Natal
Figure 6. Livestock grazing in the Solomon Gijima Dindikazi Nature Reserve on 9 February 2022.
Fig. 1 in Treatment of third-stage larvae of Toxocara cati with milbemycin oxime plus praziquantel tablets and emodepside plus praziquantel spot-on formulation in experimentally infected cats
Fig. 1 Arithmetic mean faecal egg count and standard deviation on the individual study days
Data from a field plot experiment with the canola pathogen Leptosphaeria maculans including disease severity at the leaf spot and canker stages of the epidemic, and population composition as isolates infectivity pathotypes.
<p><strong>Data set</strong></p> <p>Data are from an experiment simulating how differences in <em>Brassica napus</em> resistance deployment strategies and landscape connectivity influence epidemic severity and pathogen population composition of the fungus <em>Leptosphaeria maculans</em> on field plots inoculated with combinations of stubble in 2016 at CSIRO Canberra, ACT, Australia. Disease severity was assessed on the 60 field plots [Data_severity.csv] and 1490 isolates were sampled and assessed for infectivity [Data_infectivity.csv]. This dataset is described and analyzed in Bousset et al. (2018).</p> <p>Treatments were factorial combination of Resistance, Genetic Connectivity and Spatial Connectivity, replicated in 4 blocks (B1 to B4). Resistance has 3 categories (Rlm4, Rlm6 LepR1) differing by the resistance genes in oilseed rape varieties. Genetic Connectivity has 2 levels (HighGC, LowGC) differing by the pre-adaptation of the stubble populations to the host variety. Spatial Connectivity has two levels (HighSC, LowSC) differing by the stubble load. Control plots had NoStubble.</p> <p><strong>Data files</strong></p> <p>[Data_severity.csv] Disease severity was assessed on the 60 field plots at leaf spot and canker stages of the epidemic. Leaf spots data are counts. Canker data are numbers of stems in 12 categories defined by the cankered area on cross section (0 = no canker to 100 = fully cankered).</p> <p>[Data_infectivity.csv] Two types of isolates (122 from 3 stubble sources with contrasting preadaptation and 1368 from leaves sampled on 50 field plots) were tested for infectivity response (V = infective; A = non-infective) on the three host varieties (Rlm4, Rlm6 LepR1), at the seedling stage in greenhouse.</p> <p><strong>Associated publication</strong></p> <p>Bousset L, Sprague S, Thrall PH, Barrett LG (2018). Spatio-temporal connectivity and host resistance influence evolutionary and epidemiological dynamics of the canola pathogen <em>Leptosphaeria maculans. Evolutionary Applications</em> [ DOI: 10.1111/eva.12630 ].</p> <p><strong>Funding information</strong></p> <p>This work benefited from the financial support of INRA – the French National Institute for Agronomical Research, a CSIRO Sir Frederick McMaster fellowship to L. Bousset (Impact of inoculum carry-over on landscape dynamics of the blackleg canola pathogen) and the Grains Research & Development Corporation (GRDC Grant CSP00192)</p>
CVL Database - An Off-line Database for Writer Retrieval, Writer Identification and Word Spotting
<p>The CVL Database is a public database for writer retrieval, writer identification and word spotting. The database consists of 7 different handwritten texts (1 German and 6 Englisch Texts). In total 310 writers participated in the dataset. 27 of which wrote 7 texts and 283 writers had to write 5 texts. For each text a rgb color image (300 dpi) comprising the handwritten text and the printed text sample is available as well as a cropped version (only handwritten). An unique id identifies the writer, whereas the Bounding Boxes for each single word are stored in an XML file.</p> <p>The CVL-database consists of images with cursively handwritten german and english texts which has been choosen from literary works. All pages have a unique writer id and the text number (separated by a dash) at the upper right corner, followed by the printed sample text. The text is placed between two horizontal separatores. Beneath the printed text individuals have been asked to write the text using a ruled undersheet to prevent curled text lines. The layout follows the style of the IAM database. The database was updated on 12/09/2013 since one writer ID (265/266) was wrong. The version number was changed to 1.1.</p> <p>Samples of the following texts have been used:</p> <ul> <li>Edwin A. Abbot – Flatland: A Romance of Many Dimension (92 words).</li> <li>William Shakespeare – Mac Beth (49 words).</li> <li>Wikipedia – Mailüfterl (73 words, under CC Attribution-ShareALike License).</li> <li>Charles Darwin – Origin of Species (52 words).</li> <li>Johann Wolfgang von Goethe – Faust. Eine Tragödie (50 words).</li> <li>Oscar Wilde – The Picture of Dorian Gray (66 words).</li> <li>Edgar Allan Poe – The Fall of the House of Usher (78 words).</li> </ul> <p>This database may be used for non-commercial research purpose only. If you publish material based on this database, we request you to include a reference to:</p> <p>Florian Kleber, Stefan Fiel, Markus Diem and Robert Sablatnig, <em>CVL-Database: An Off-line Database for Writer Retrieval, Writer Identification and Word Spotting</em>, In Proc. of the 12th Int. Conference on Document Analysis and Recognition (ICDAR) 2013, pp. 560-564, 2013.</p>
Identifying Hot Spots in Rural Community Resilience in Scotland - database
<p>Database of nearest resilience infrastructure from each Scottish postcode, commissioned and funded by the National Centre for Resilience.</p> <p>Data are in <a href="http://www.geopackage.org/">geopackage format</a>, which is curated by the open geospatial consortium. The data format can be read by GDAL, and hence all major analytical and spatial software (e.g. R, Python, QGIS). The database has two main tables:</p> <ul> <li>datazones - a spatial table of boundary polygons. Available from <a href="https://data.gov.uk/dataset/ab9f1f20-3b7f-4efa-9bd2-239acf63b540/data-zone-boundaries-2011">data.gov.uk</a> under the <a href="http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/">open government licence</a>.</li> <li>postcode_to_POI - a table of postcode to POI type distances with lookups for a range of administrative boundaries.</li> </ul> <p>An example query (in R) is shown in 10.5281/zenodo.3386179 to access data in the geopackage.</p> <p>The database was built using the following datasets:</p> <ul> <li><a href="https://www.ordnancesurvey.co.uk/business-and-government/products/os-open-roads.html">Ordnance Survey Open Roads</a></li> <li><a href="https://www.ordnancesurvey.co.uk/business-and-government/products/code-point-open.html">Ordnance Survey Code-Point Open</a></li> <li><a href="https://digimap.edina.ac.uk/webhelp/os/data_information/os_products/points_of_interest.htm">Ordnance Survey Points of Interest</a></li> </ul> <p>The following copyright licences apply to this dataset:</p> <p>© Crown Copyright and Database Right 2019. Ordnance Survey (Digimap Licence).<br> This material includes data licensed from PointX Database Right/Copyright 2019.<br> Contains NRS data © Crown copyright and database right 2019.</p>
Figure 5. C in Helminth fauna of Neurergus strauchii (Steindacher, 1888) (spotted newt) collected from Bingöl, Turkey
Figure 5. C. commutata female anterior (10×).
Figure 2. A in Helminth fauna of Neurergus strauchii (Steindacher, 1888) (spotted newt) collected from Bingöl, Turkey
Figure 2. A. acuminata female posterior (10×).
Figure 2 in Sighting of a rare species of butterfly, Tajuria maculata Hewitson, 1865 (Spotted Royal) from Darjeeling District, West Bengal, India
Figure 2. Records of previous and recent distribution of Tajuria maculata from India.
Figure 1 in Sighting of a rare species of butterfly, Tajuria maculata Hewitson, 1865 (Spotted Royal) from Darjeeling District, West Bengal, India
Figure 1. Spotted Royal Tajuria maculata (Hewitson, 1865) (Lepidoptera: Lycaenidae).
Figure 5 in Diet of the Lesser Spotted Eagle (Clanga pomarina) in Amvrakikos Wetlands National Park, Greece
Figure 5. Comparison of the main prey groups between Valaoritis and Zalongo by biomass (%).
Figure 4 in Diet of the Lesser Spotted Eagle (Clanga pomarina) in Amvrakikos Wetlands National Park, Greece
Figure 4. Comparison of the main prey groups between Valaoritis and Zalongo by numbers (%).
Fig. 14 in THE BUXA TIGER RESERVE AS A 'HOT SPOT' OF ANT DIVERSITY IN WEST BENGAL STATE (HYMENOPTERA: FORMICIDAE)
Fig. 14. Number of genera and species of ants known from India, West Bengal and Buxa Tiger Reserve.
Fig. 13 in THE BUXA TIGER RESERVE AS A 'HOT SPOT' OF ANT DIVERSITY IN WEST BENGAL STATE (HYMENOPTERA: FORMICIDAE)
Fig. 13. Number of genera and species in each subfamily of Formicidae found in Buxa Tiger Reserve.
Fig. 12 in THE BUXA TIGER RESERVE AS A 'HOT SPOT' OF ANT DIVERSITY IN WEST BENGAL STATE (HYMENOPTERA: FORMICIDAE)
Fig. 12. Number of species in genera of ants known from Buxa Tiger Reserve.
Figs 1, 2. Buxa Tiger Reserve. 1 in THE BUXA TIGER RESERVE AS A 'HOT SPOT' OF ANT DIVERSITY IN WEST BENGAL STATE (HYMENOPTERA: FORMICIDAE)
Figs 1, 2. Buxa Tiger Reserve. 1 – water bodies of reserve; 2 – elephant herd inside forest.
Data for: "Chromosome One QTLs Associated with Beta Vulgaris Response to Bacterial Leaf Spot"
<p>Listed here are data used in analysis for publication "Chromosome One QTLs Associated with Beta Vulgaris Response to Bacterial Leaf Spot".</p> <p>Data included: filtered VCF files of SNP marker data for full Wisconsin Beta Diversity Panel (WBDP, n=219) and table beet subset (n=152). Deposited also are the raw phenotypic values, the final weighted BLS score per pot, the BLUE value for each accession, and the leaf color covariate data.</p>
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.