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Name List
<p>A list of names parsed and lightly cleaned from the files downloaded from <a href="https://www.openacademic.ai/oag/">https://www.openacademic.ai/oag/</a></p>
List of Second New Zealand Expeditionary Force (2NZEF) Prisoners of War
<p>Compiled list of New Zealand Prisoners of War, Second New Zealand Expeditionary Force. Contains very basic information such as service number, rank, surname, first initials, unit and approximate date or place of capture (typescript; 109 leaves). Also includes Supplementary Roll to 31 December 1944 and a list of New Zealand prisoners interned at Campo P.G. 85, 1942, with annotations of some serial numbers (incomplete; page 4 of 4 is missing). This publication has been transcribed and matched against the <a href="https://www.aucklandmuseum.com/war-memorial/online-cenotaph/custom-search?k=MS-2009-8&srt=lna&pp=500">Online Cenotaph database</a> part of Auckland War Memorial Museum and includes 6587 entries.</p> <p>List of 2NZEF Prisoners of War, 1941 - 1945. Auckland War Memorial Museum Library. MS-2009-8.</p> <p>Original catalogue record can be found on <a href="https://www.aucklandmuseum.com/collections-research/collections/record/am_library-manuscriptsandarchives-6515">Collections Online</a></p> <p>Field Names</p> <ul> <li><strong>Sequence</strong></li> <li><strong>& Denotes no PW Camp address since capitulation of Italy </strong>– original information</li> <li><strong>ServiceNumber </strong>– original information</li> <li><strong>Updated number</strong> – revised</li> <li><strong>Rank </strong>– original information</li> <li><strong>Lastname </strong>– original information</li> <li><strong>Initials </strong>– original information</li> <li><strong>Unit </strong>– original information</li> <li><strong>Date or Place of Capture </strong>– original information</li> <li><strong>Medal </strong>– original information</li> <li><strong>Full name from original data</strong></li> <li><strong>Confirmed Cenotaph ID </strong>– from Online Cenotaph</li> <li><strong>Confirmed last name </strong>– from Online Cenotaph</li> <li><strong>Confirmed initials </strong>– from Online Cenotaph</li> </ul>
S72 | NTUPHTW | Pharmaceutically Active Substances Suspect List from National Taiwan University
<p>This is the collection associated with list S72 NTUPHTW Pharmaceutically Active Substances Suspect List from National Taiwan University on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>A suspect list based on Agilent PCDLs containing pharmaceutically active substances from the College of Public Health, National Taiwan University, kindly provided by Wen-Ling Chen. Dataset DOI: <a href="https://doi.org/10.5281/zenodo.3955664">10.5281/zenodo.3955664</a>.</p>
Code list used to generate cohorts in ICD-10 CCI US validation study
<p>Code list used to generate cohorts in validating the Charlson comorbidity index (CCI) for ICD-10 in the United States.</p>
Figure 14 in Additions to the British list of Megaselia Rondani (Diptera: Phoridae), including two new species, from the crowns of ancient pollarded trees
Figure 14. Megaselia serrata female, details of abdomen, furca.
D-JRP1-3.1 WP3 Priority list
<p>OHEJP Project: IMPART. WP3 - Development of missing epidemiological cut-off values (ECOFFs).</p>
ImprovBot.ai - The Show Listings: Full Set
<p><strong> ImprovBot.ai The Show Listings: Full Set </strong></p> <p>ImprovBot was the world's first AI-generated Arts Festival programme,<br> posting online nearly 400 new show listings from 7 to 31 August 2020.<br> These are generated by The Bot, a recurrent neural network reimagining<br> 2,098,140 words of Edinburgh Fringe show listings (2011-2019).</p> <p>This archive makes the complete set of the project's show listings<br> available in a single text-file download. These are listed as:</p> <ol> <li>ImprovBot.ai The Show Listings: Twitter Length Posts</li> <li>ImprovBot.ai The Show Listings: 100 Word Posts</li> </ol> <p>Licence: CC-BY-NC</p> <p>Project members: Melissa Terras, Gavin Inglis, Rudolf Ammann</p> <p>https://improvbot.ai/<br> https://twitter.com/improvbot_ai<br> https://improvbot.ai/about/how-the-ai-works/<br> https://improvbot.ai/about/</p> <p>Another archive is available of ImprovBot illustrations, by Rudolf Ammann, at http://doi.org/10.5281/zenodo.4384718</p>
Appendix 4 to "The Status of Biological Invasions and their Management in South Africa in 2019"—Species list change tracker
<p>For more details see: http://iasreport.sanbi.org.za</p> <p>SANBI and CIB 2020. Appendix 4 to "The Status of Biological Invasions and their Management in South Africa in 2019"—Species list change tracker. South African National Biodiversity Institute, Kirstenbosch and DSI-NRF Centre of Excellence for Invasion Biology, Stellenbosch. http://dx.doi.org/10.5281/zenodo.3947778</p>
List of specimens, collection numbers, localities, and GenBank accessions of sequences. The neotype of Scinax x‑signatus is underlined. New sequences produced for this study are in bold. Abbreviations are as follow. Countries: ARG = Argentina, BOL = Bolivia, BRA = Brazil, GUF = French Guiana, GUY = Guyana, MTQ = Martinique, PER = Peru, SUR = Suriname; Brazilian states: AP = Amapá, BA = Bahia, CE = Ceará, ES = Espírito Santo, MA = Maranhão, MG = Minas Gerais, PE = Pernambuco, RJ = Rio de Janeiro, RS = Rio Grande do Sul, SP = São Paulo. An asterisk (*) indicates approximate coordinates taken from Google Earth. in A neotype for Hyla x-signata Spix, 1824 (Amphibia, Anura, Hylidae)
List of specimens, collection numbers, localities, and GenBank accessions of sequences. The neotype of Scinax x‑signatus is underlined. New sequences produced for this study are in bold. Abbreviations are as follow. Countries: ARG = Argentina, BOL = Bolivia, BRA = Brazil, GUF = French Guiana, GUY = Guyana, MTQ = Martinique, PER = Peru, SUR = Suriname; Brazilian states: AP = Amapá, BA = Bahia, CE = Ceará, ES = Espírito Santo, MA = Maranhão, MG = Minas Gerais, PE = Pernambuco, RJ = Rio de Janeiro, RS = Rio Grande do Sul, SP = São Paulo. An asterisk (*) indicates approximate coordinates taken from Google Earth.
Figure 2I-L in Non-Avian Reptiles of the state of Rio de Janeiro, Brazil: status of knowledge and commented list
Figure 2I-L. Some reptile species recorded in Rio de Janeiro state: (I) Crotalus durissus (Photo: Edson Ferreira Santiago); (J) Bothrops neuwiedi (Photo: Marcelo Ribeiro Duarte); (K) Lachesis muta (Photo: Marcos Felipe da Rocha Pinto); (L) Erythrolamprus poecilogyrus poecilogyrus (Photo: Otávio Marques).
Figure 2A-D in Non-Avian Reptiles of the state of Rio de Janeiro, Brazil: status of knowledge and commented list
Figure 2A-D. Some reptile species recorded in Rio de Janeiro state: (A) Corallus hortulanus (Photo: Pedro Pinna), (B) Bothrops jararacussu (Photo: Pedro Pinna), (C) Cercophis auratus (Photo: Pedro Pinna), (D) Amerotyphlops brongersmianus (Photo: Pedro Pinna).
Figure 1 in Non-Avian Reptiles of the state of Rio de Janeiro, Brazil: status of knowledge and commented list
Figure 1. State of Rio de Janeiro (enlarged figure in right frame) located in southeastern Brazil (in darker gray in the upper left figure).
Figure 2E-H in Non-Avian Reptiles of the state of Rio de Janeiro, Brazil: status of knowledge and commented list
Figure 2E-H. Some reptile species recorded in Rio de Janeiro state: (E) Leposternon scutigerum (Photo: Pedro Pinna), (F) Hydromedusa maximiliani (Photo: Pedro Pinna), (G) Liolaemus lutzae (Photo: Patrícia Almeida-Santos); (H) Anolis neglectus (Photo: Leandro Drummond).
Robot List OA-Statistics
<p><strong>Standard Robot Exclusion List</strong><br /> used by OA-Statistics. Compilation of some popular black-list.</p> <p><strong>Status of this document </strong></p> <p>This document represents a consensus of the german project OA-Statistik. It is not an official standard backed by a standards body, or owned by any commercial organisation. It is not enforced by anybody, and there no guarantee that all current and future robots will use it. It has also been open for discussion.</p>
swadesh: Swadesh list for kurmanji
<p>swadesh list for kurmanji</p>
NanoPUZZLES list of evaluated references: Zenodo copy
<p>*If any corrections are required to this file, the latest version can be accessed via figshare.com: https://figshare.com/articles/NanoPUZZLES_list_of_evaluated_references/2015466*</p> <p>This file is a ZIP archive which contains a spreadsheet of evaluated references prepared within the NanoPUZZLES EU project [http://www.nanopuzzles.eu], along with a README file documenting this spreadsheet.</p> <p>Disclaimers:</p> <p>(1) this work has not undergone peer review</p> <p>(2) no endorsement by third parties should be inferred</p> <p>(3) *You are strongly advised to read the "Important Caveats" section of the README file.*</p> <p>In light of these key caveats, the annotations in this spreadsheet should only be taken to be indicative of the (meta)data availability corresponding to a given reference.</p> <p>The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/ 2007-2013) under grant agreement no. 309837 (NanoPUZZLES project).</p> <p> </p>
IUCN Red List of Threatened Species
<p>The IUCN Red List of Threatened Species™ is widely recognized as the most comprehensive, objective global approach for evaluating the conservation status of plant and animal species. From its small beginning, the IUCN Red List has grown in size and complexity and now plays an increasingly prominent role in guiding conservation activities of governments, NGOs and scientific institutions. The introduction in 1994 of a scientifically rigorous approach to determine risks of extinction that is applicable to all species, has become a world standard. In order to produce the IUCN Red List of Threatened Species™, the IUCN Species Programme working with the IUCN Survival Commission (SSC) and with members of IUCN draws on and mobilizes a network of scientists and partner organizations working in almost every country in the world, who collectively hold what is likely the most complete scientific knowledge base on the biology and conservation status of species.</p>
LIST OF RECENT EARTHQUAKES THAT POSSIBLY HAD SURFACE RUPTURE
<p>The Excel spreadsheet and its accompanying text file list all the shallow (<35 km) M6+ earthquakes that have occurred on-land in the period 2000-2016. These are of a size and type of earthquake that may have produced surface faulting. So in updating the SURE database, we need to ensure that we know whether each of these 134 earthquakes produced surface rupture, and how much. At this point it looks like there are published papers about surface faulting for 20 of these earthquakes. For the rest, we don't know if there was surface rupture or not. I suggest we ask for volunteers from the countries that contain these 114 undocumented earthquakes, and ask them if surface rupture was looked for, and if so, if it was found and what parameters were measured. These volunteers would come from the SURFACE project, or be new paleoseismologists who would like to become involved.</p>
FIGURE 3 in An annotated check-list of lophogastrids (Crustacea: Lophogastrida) from the seas of the Iberian Peninsula
FIGURE 3. Number of known lophogastrid species in the 6 main geographic areas of the Iberian Seas.
Apollo - List of Faults
<p>Overview of Data</p> <p>Bug Reports obtained from tool Apollo, used to find faults in PHP programs. The programs tested are faqforge, webchess, schoolmate, phpsysinfo</p> <p>Paper Abstract</p> <p>Web script crashes and malformed dynamically-generated Web pages are common errors, and they seriously impact usability of Web applications. Current tools for Web-page validation cannot handle the dynamically-generated pages that are ubiquitous on today’s Internet. In this work, we apply a dynamic test generation technique, based on combined concrete and symbolic execution, to the domain of dynamic Web applications. The technique generates tests automatically, uses the tests to detect failures, and minimizes the conditions on the inputs exposing each failure, so that the resulting bug reports are small and useful in finding and fixing the underlying faults. Our tool Apollo implements the technique for PHP. Apollo generates test inputs for the Web application, monitors the application for crashes, and validates that the output conforms to the HTML specification. This paper presents Apollo’s algorithms and implementation, and an experimental evaluation that revealed 214 faults in 4 PHP Web applications.</p> <p> </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.