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Data from: A new population record of Critically Endangered Dipterocarpus bourdillonii Brandis from the Anamalai Tiger Reserve, Tamil Nadu
<p><strong>This dataset is based on the following manuscript/publication:</strong><br> Page, N., S. Kasinathan, K. Bhat, G. Moorthi, T. Sundarraj, Divya Mudappa, and T. R. S. Raman (2022). A new population record of Critically Endangered <em>Dipterocarpus bourdillonii</em> Brandis from the Anamalai Tiger Reserve, Tamil Nadu. <em>Journal of Threatened Taxa</em> 14(8): 21651–21659. https://doi.org/10.11609/jott.7860.14.8.21651-21659</p> <p>Please refer to the README.txt file included with the dataset for complete details and usage notes.</p> <p><strong>Geographic Coverage:</strong><br> Location/Study Area: Valparai Plateau, Tamil Nadu, India; Anamalai Tiger Reserve, Tamil Nadu, India<br> GPS coordinates: Valparai Plateau (0°15'- 10°22'N, 76°52'-76°59'E); Anamalai Tiger Reserve (10°12'-10°35'N, 76°49'-77°24'E)</p> <p><strong>Temporal Coverage:</strong><br> Begins: 2020-10-01 (Year, Month, Day)<br> Ends: 2022-05-31 (Year, Month, Day)</p> <p><strong>Funding:</strong><br> Fondation Franklinia<br> AMM Murugappa Chettiar Research Centre<br> Rohini Nilekani Philanthropies</p> <p><strong>Dataset:</strong></p> <p>The dataset includes 7 files: 1 text file (<strong>README.txt</strong>), 5 data files in comma-delimited format (CSV), and 1 KML file of seven survey routes. Details of content of each CSV data file are provided below. The following files are included:<br> <strong>README.txt:</strong> Usage notes and metadata related to the dataset<br> <strong>1_Surveys_ver2.csv:</strong> Details of trails covered where Dipterocarpus bourdillonii was recorded during the survey<br> <strong>2_Focal_tree_data_ver2.csv:</strong> Details of focal trees of Dipterocarpus bourdillonii<br> <strong>3_Tree_centred_PCQ_ver2.csv: </strong>Data from point-centred quarter (PCQ) plots sampled with focal trees at the centre<br> <strong>4_Plant_checklist_ver2.csv:</strong> Checklist of plants (mainly trees) recorded on survey trails<br> <strong>5_Seed_fruit_ver2.csv:</strong> Measurements of fruits and seeds of Dipterocarpus bourdillonii<br> <strong>06_Dipterocarpus_bourdillonii_survey_trails.kml:</strong> This file includes the GPS tracks of the seven survey trails in KML format.</p> <p>Details and data available in the columns in each of the above CSV files and the KML file are explained below.</p> <p><strong>1_Surveys_ver2.csv</strong><br> Column: Description<br> Date: Date on which the survey was done<br> Place: Name of the place where the focal tree is located. e.g., Candura, Manamboli, Iyerpadi etc<br> Route_description:Description of place or route covered<br> Trail: Name of the tree survey trail<br> Trail_distance: Distance covered on the trail in kilometres (km)<br> Track_filename_kml: Name of the file with GPS track of survey trail/route, where available, in KML format<br> Observers: Names of observers who took measurements and filled datasheet during survey<br> Remarks: Notes and additional information</p> <p><strong>2_Focal_tree_data_ver2.csv</strong><br> Column: Description<br> FT_ID: Unique numeric linking ID of each focal tree (NA for 3 individuals found in plots around other focal trees)<br> Species: Focal tree species<br> Date: Date on which the survey was done<br> Place: Name of forest range (Manamboli)<br> Waypoint: Unique location waypoint number for the focal tree and GPS instrument used<br> Time: Time when the focal tree's data was collected<br> Location: Landmark where the focal tree is located (NA, if not available)<br> Latitude: Latitude of the focal tree (decimal degrees N)<br> Longitude: Longitude of the focal tree (decimal degrees E)<br> Elevation: Elevation of the focal tree from sea-level in metres<br> Slope: Slope at focal tree location assessed with Clinometer, categorised as Flat, Gentle, Moderate, or Steep (NA, if not available)<br> ID_Notes: Any obvious signs with which to identify focal tree (NA, if not available)<br> Phenophase: Phenophase of the focal tree viz. leaf flush, buds/flowers, fruits (NA, if not available)<br> GBH: Girth of the focal tree in cm, at 1.3m from ground; measured from the higher side if tree is on slope<br> Tree_ht: Focal tree's height in m (NA, if not available)<br> Canopy_ht: Height of canopy in m where the focal tree is located (NA, if not available)<br> Substrate: Substrate where focal tree is standing viz. Earth, Rock, Streamside, Other (NA, if not available)<br> Invasives: List of invasive plant species present within 5 m radius around the focal tree (NA, if not available)<br> Stature: Stature of the focal tree relative to its surroundings (NOT of the species in general) categorised as Understorey, Mid, Canopy, Emergent (NA, if not available)<br> Relatively: Relative height of focal tree in relation to other trees within 10 m radius categorised as Shorter than most, Taller than most, Same height as most (NA, if not available)<br> Deadwood: Estimated percentage of deadwood present on the tree in 4 classes of <25%, 26-50%, 51-75%, 76-100% (NA, if not available)<br> Damage: Observed damages such as Main trunk broken, Branches broken, Hollow at base, Gaping cavity, Infected, Dried leaves (as on a dead branch) (NA, if not available)<br> Shape: Canopy shape of the focal tree (not species in general) categorised as Spreading, Oval, Fan, Column, Cone (NA, if not available)<br> Closure: Canopy closure due to foliage visually estimated standing next to trunk of focal tree and looking up, categorised as 0% (only sky and leafless branches visible), 1-25%, 26-50%, 51-75%, 76-100% (NA, if not available)<br> Seedlings: Count of conspecific seedlings (stems of girth at breast height <10 cm) around the focal tree in a 5 m radius (NA, if not available)<br> Saplings: Count of conspecific saplings (stems of girth at breast height 10-30 cm) around the focal tree in a 5 m radius (NA, if not available)<br> Trees: Count of conspecific trees (stems of girth at breast height >30 cm) around the focal tree in a 5 m radius (NA, if not available)<br> Remarks: Notes and additional information (NA, if not available)</p> <p><strong>3_Tree_centred_PCQ_ver2.csv</strong><br> Column: Description<br> FT_ID: Unique numeric linking ID of each focal tree in point-centred quarter (PCQ) plot<br> Focal_tree: Scientific name of focal tree species at the centre of the PCQ plot<br> Species: Scientific name of tree species recorded in PCQ plot around focal tree<br> GBH (cm): Girth of PCQ tree in cm, at 1.3 m from ground; measured from the higher side if tree is on a slope. Main stem only.<br> Distance: Distance from focal tree, in m; measured from the approximate centre of bole to centre of bole and not bark to bark<br> Multistem: NA if single-stemmed; if multi-stemmed, then GBH of additional stems given as notes.</p> <p><strong>4_Plant_checklist_ver2.csv</strong><br> Column: Description<br> Date: Date on which the survey was done<br> Place: Name of the place where the focal tree is located. e.g., Candura, Manamboli, Iyerpadi etc<br> Route: Route of the tree survey trail<br> Checklist_species: Scientific name of tree species observed as present along trail and within 10 m on either side<br> Remarks: Notes and additional information</p> <p><strong>5_Seed_Fruit_ver2.csv</strong><br> Column: Description<br> Sample: Serial number of sample of single winged fruit measured<br> Species: Scientific name of tree species<br> No_Seeds: Unit number of seed measured<br> Fresh_fruit_weight_g: Weight of each fruit measured on an Ohaus scale in grams<br> Nut_length_cm: Length of nut along the longitudinal axis in cm<br> Nut_width_1_cm: Width of nut in cm measured along axis perpendicular to nut length<br> Nut_width_2_cm: Width of nut in cm measured along axis perpendicular to nut length and nut width 1<br> Wing1_length_cm: Length of longer wing (sepal) in cm<br> Wing1_width_cm: Width of longer wing (sepal) in cm<br> Wing2_length_cm: Length of shorter wing (sepal) in cm<br> Wing2_width_cm: Width of shorter wing (sepal) in cm</p> <p><strong>06_Dipterocarpus_bourdillonii_survey_trails.kml</strong><br> This file includes the GPS tracks of the following seven trails in KML format:<br> 2021-01-30_Anali-Ayyankulam-Manamboli (Trail-2)<br> 2021-03-26_Ayyankulam (Trail-4)<br> 2021-04-10_Ayyankulam Parai (Trail-5)<br> 2022-03-07_Ayyankulam Parai to Ayyankulam_leftbank (Trail-8)<br> 2022-03-07_Ayyankulam Parai to Ayyankulam_rightbank (Trail-9)<br> 2022-03-09_Manamboli PH_leftbank (Trail-10)<br> 2022-03-09_Manamboli PH_rightbank (Trail-11)</p>
Figs 16-18 in New data on the Oriental Xantholinini. 43. New species and new records from Thailand in the Naturhistorisches Museum of Basel (Coleoptera Staphylinidae) 281° contribution to the knowledge of the Staphylinidae
Figs 16-18: Tergite and sternite of the male genital segment and aedeagus of Erymus filiformis nov.sp. (scale bar: 0.1 mm).
Figs 1-9 in New data on the Oriental Xantholinini. 43. New species and new records from Thailand in the Naturhistorisches Museum of Basel (Coleoptera Staphylinidae) 281° contribution to the knowledge of the Staphylinidae
Figs 1-9: Male genital segment, sternite of the same and aedeadus (1-3) of Neoxantholinus thailandicus nov.sp. Tergite and sternite of the male genital segment and aedeagus (4-6) of Metolinus squamifer nov.sp. Tergite and sternite of the male genital segment and aedeagus (7-9) of Mahavana eximia nov.sp. (m= membranous part) (scale bar: 0.1 mm).
Photo 1-2 in New data on the Oriental Xantholinini. 43. New species and new records from Thailand in the Naturhistorisches Museum of Basel (Coleoptera Staphylinidae) 281° contribution to the knowledge of the Staphylinidae
Photo 1-2: (1) Habitus of Mahavana eximia nov.sp. (total lenght: 4.3 mm) and (2) Denon silvestris nov.sp. (total lenght: 4.2 mm) (photo S. Cuoco).
Occurrence records for Craterostigmus tasmanianus Pocock, 1902
<p>The centipedes <em>Craterostigmus tasmanianus</em> Pocock, 1902 and <em>C. crabilli</em> Edgecombe and Giribet, 2008 are the only known species in the order Craterostigmomorpha. <em>C. tasmanianus</em> occurs only in Tasmania (Australia), while <em>C. crabilli </em>occurs in both the North and South Islands of New Zealand.</p> <p><em>C. tasmanianus</em> is widespread in Tasmania and is found in forest and woodland from sea level to at least 1300 m elevation, and in areas with average annual rainfall from 600 to 2500+ mm. It requires moist microhabitats, and in the drier parts of its range it is restricted to riparian forest and scrub and on south-facing hillslopes. It can be locally abundant in rainforest, in mid-elevation wet eucalypt forest, and in high-elevation eucalypt woodland on Tasmania's Central Plateau. For more information on the habits and life history of <em>C. tasmanianus</em>, see Mesibov (1995) (<a href="https://biodiversitylibrary.org/page/57364741">https://biodiversitylibrary.org/page/57364741</a>).</p> <p>In the table "Craterostigmus_tasmanianus_records.txt" I list <em>C. tasmanianus</em> occurrence records in Darwin Core format. Data for my own collecting events are from an authority file (<a href="https://zenodo.org/record/6618279">https://zenodo.org/record/6618279</a>). I excluded three uncertain records:</p> <p>(1) Queen Victoria Museum and Art Gallery (Launceston, Tasmania, Australia), QVM:23:25118 (1 specimen). The only locality information on the specimen label is "Site 4, no. 3 pit"</p> <p>(2) Specimens collected on Mt Wellington by Vernon Hickman (University of Tasmania) and studied by Sidnie Manton (University of Cambridge). Manton thanked "Professor V. V. Hickman for his indefatigable efforts in climbing Mount Wellington, Tasmania, and collecting and packing <em>Craterostigmus tasmanianus</em> for me on a number of occasions, and for the information he has sent me about this animal" (p. 359 in Manton SM (1965) The evolution of arthropodan locomotory mechanisms. Part 8. Functional requirements and body design in Chilopoda, together with a comparative account of their skeleto-muscular systems and an Appendix on a comparison between burrowing forces of annelids and chilopods and its bearing upon the evolution of the arthropodan haemocoel. <em>Zoological Journal of the Linnean Society</em> 46(306-307):251-483; pls 1-7.) Parts of two Hickman specimens of <em>C. tasmanianus</em>, embedded in paraffin, were sent by Manton to Carol Prunescu for anatomical studies (<a href="https://www.biodiversitylibrary.org/page/58835329">https://www.biodiversitylibrary.org/page/58835329</a>).</p> <p>(3) A specimen in the Field Museum of Natural History (FMNHINS 0000 096 000) is said to have been collected by John Kethley "40 km SW of Smithton" on 4 March 1977, field number FMHD#77-190. The date and location are highly unlikely. I assisted Kethley with his collections in northwest Tasmania and on 5 (not 4) March 1977 we sampled along the Savage River Pipeline Road, ca 40 km south<em>east</em> of Smithton. The Field Museum specimen is likely to be from rainforest at the 22-mile peg on the pipeline road, and is probably a partner to the record for Tasmanian Museum and Art Gallery J2340.</p> <p>Note that there are duplicate occurrence records in the table if a single collection of specimens was split between institutions or researchers. As of 15 June 2022, there were 345 occurrence records in the table with a unique combination of eventDate, decimal Latitude and decimalLongitude.</p> <p>In the associatedReferences field I have tried to link specimen lots with research articles. In the case of research articles based on sequences, tracing the links between sequences and specimens was made difficult by incomplete documentation. For this reason there is no associatedSequences field in the table, and I am not confident that I have included relevant references for all records.</p> <p>For help in preparing the records table I am very grateful to</p> <p>Adam Baldinger (Museum of Comparative Zoology)<br> Andrew Crowden (Natural Resources and Environment Tasmania)<br> Wolfgang Dohle (Berlin, Germany)<br> Greg Edgecombe (Natural History Museum, UK)<br> Henrik Enghoff (Natural History Museum of Denmark)<br> Gero Hilken (Universität Duisberg-Essen)<br> Eszter Lazanyi (Hungarian Natural History Museum)<br> Megan McCuller (North Carolina Museum of Natural Sciences)<br> Catriona McPhee (Museums Victoria)<br> Kirrily Moore (Tasmanian Museum and Art Gallery)<br> Carsten Müller (Universität Greifswald)<br> Hilke Ruhberg (Universität Hamburg)<br> Arkady Schileyko (Zoological Museum of M.V. Lomonosov Moscow State University)<br> Helen Smith (Australian Museum)<br> Jörg Spelda (Petershausen, Germany)<br> Eivind Undheim (Norwegian University of Science and Technology)<br> Julianne Waldock (Western Australian Museum)</p> <p>Version 2 of the table adds an associated reference to cratas-202.</p>
Paroxysmal Atrial Fibrillation Events Detection from Dynamic ECG Recordings - The 4th China Physiological Signal Challenge 2021
<p>This dataset is part of the available dataset for <em>Paroxysmal Atrial Fibrillation Events Detection from Dynamic ECG Recordings: The 4th China Physiological Signal Challenge 2021</em>, available at https://physionet.org/static/published-projects/cpsc2021/paroxysmal-atrial-fibrillation-events-detection-from-dynamic-ecg-recordings-the-4th-china-physiological-signal-challenge-2021-1.0.0.zip (last accessed today 2022-07-22).</p> <p>The dataset is licensed under Creative Commons Attribution 4.0 International Public License:</p> <p>Permissions:</p> <ul> <li>Share — copy and redistribute the material in any medium or format</li> <li>Adapt — remix, transform, and build upon the material for any purpose, even commercially.</li> </ul> <p>Conditions:</p> <ul> <li> <p>Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.</p> </li> </ul> <p>Limitations:</p> <ul> <li>No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.</li> </ul> <p>For more information about the license, check: https://creativecommons.org/licenses/by/4.0/</p> <p>The following modifications were made:</p> <ul> <li>Only the training and test set folders are used</li> <li>Only the files *.hea, *.dat and *.atr are used, being the *.dat and *.atr converted to CSV and compressed in .bz2 format</li> <li>Added the LICENSE.txt file as required.</li> </ul>
ReviewR: A light-weight and extensible tool for manual review of clinical records
<p>Objectives: Manual record review is a crucial step for electronic health record (EHR)-based research, but it has poor workflows and is error prone. We sought to build a tool that provides a unified environment for data review and chart abstraction data entry.</p> <p>Materials and methods: ReviewR is an open-source R Shiny application that can be deployed on a single machine or made available to multiple users. It supports multiple data models and database systems, and integrates with the REDCap API for storing abstraction results.</p> <p>Results: We describe two real-world uses and extensions of ReviewR. Since its release in April 2021 as a package on CRAN it has been downloaded 2,204 times.</p> <p>Discussion and conclusion: ReviewR provides an easily accessible review interface for clinical data warehouses. Its modular, extensible, and open source nature afford future expansion by other researchers. </p>
Figs 1–3 in New Species And New Records Of Ichneumon Wasps From The Eastern Mediterranean And The Black Sea Regions (Hymenoptera: Ichneumonidae)
Figs 1–3. Holotype specimen of Casinaria onyx sp. n., 1 = lateral habitus, 2 = head, frontal view, 3 = propodeum, dorsal view
Permafrost-thaw lake development in Central Yakutia: sedimentary ancient DNA and element analyses from a Holocene sediment record
<p>In Central Yakutia (Siberia) livelihoods of local communities depend on alaas (thermokarst depression) landscapes and the lakes within. Development and dynamics of these alaas lakes are closely connected to climate change, permafrost thawing, catchment conditions, and land use. To reconstruct lake development throughout the Holocene we analyze sedimentary ancient DNA (sedaDNA) and biogeochemistry from a sediment core from Lake Satagay, spanning the last c. 10,800 calibrated years before present (cal yrs BP). SedaDNA of diatoms and macrophytes and microfossil diatom analysis reveal lake formation earlier than 10,700 cal yrs BP. The sedaDNA approach detected 42 amplicon sequence variants (ASVs) of diatom taxa, one ASV of Eustigmatophyceae (Nannochloropsis), and 12 ASVs of macrophytes. We relate diatom and macrophyte community changes to climate-driven shifts in water level and mineral and organic input, which result in variable water conductivity, in-lake productivity, and sediment deposition. We detect a higher lake level and water conductivity in the Early Holocene (c. 10,700–7000 cal yrs BP) compared to other periods, supported by the dominance of Stephanodiscus sp. and Stuckenia pectinata. Further climate warming towards the Mid-Holocene (7000–4700 cal yrs BP) led to a shallowing of Lake Satagay, an increase of the submerged macrophyte Ceratophyllum, and a decline of planktonic diatoms. In the Late Holocene (c. 4700 cal yrs BP–present) stable shallow water conditions are confirmed by small fragilarioid and staurosiroid diatoms dominating the lake. Lake Satagay has not yet reached the final stage of alaas development, but satellite imagery shows an intensification of anthropogenic land use, which in combination with future warming will likely result in a rapid desiccation of the lake.</p>
Figs 1-5 in First Chinese record and the second species of the genus Pleurigona Malloch, 1929 (Diptera: Lauxaniidae)
Figs 1-5. Pleurigona bicolor sp. nov. Male. (1) Body, lateral view. (2) Wing. (3) Head, dorsal view. (4) Mesoscutum, dorsal view. (5) Abdomen, dorsal view.
Figs 6-10 in First Chinese record and the second species of the genus Pleurigona Malloch, 1929 (Diptera: Lauxaniidae)
Figs 6-10. Pleurigona bicolor sp. nov. Male. (6) Protandrium and epandrium, lateral view. (7) Epandrial complex, posterior view. (8) Protandrium, anterior view. (9) Phallic complex, ventral view. (10) Phallic complex, lateral view. Scale 0.5 mm. e: epandrium; s: surstylus; ea: ejaculatory apodeme; p: phallapodeme; h: hypandrium; g: gonopod.
Mammal occurrence records (2015-18) in the Valparai Plateau and Anamalai Tiger Reserve, Western Ghats, India
<p>This dataset contains Mammal occurrence records (2015-18) in the Valparai Plateau and Anamalai Tiger Reserve, 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 (2022). Mammal occurrence records (2015-18) in the Valparai Plateau and Anamalai Tiger Reserve, Western Ghats, India. Nature Conservation Foundation, India. Dataset, Zenodo. DOI:<br> <br> CONTACT #1<br> 1. Name: T. R. Shankar Raman<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: trsr@ncf-india.org<br> 5. ORCID: https://orcid.org/0000-0002-1347-3953</p> <p>CONTACT #2<br> 1. Name: Divya Mudappa<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: divya@ncf-india.org<br> 5. ORCID: https://orcid.org/0000-0001-9708-4826</p> <p>Keywords: tropical rainforest, plantations, Anamalai Hills, animal distribution, </p> <p>Geographic Coverage:<br> 1. Location/Study Area: Valparai Plateau, Tamil Nadu, India; Anamalai Tiger Reserve, Tamil Nadu, India<br> 2. GPS coordinates: Valparai Plateau (10°15'- 10°22'N, 76°52' - 76°59'E); Anamalai Tiger Reserve (10°12' - 10°35'N, 76°49' - 77°24'E)</p> <p>Temporal Coverage:<br> 1. Begins: 2015-01-01 (Year, Month, Day)<br> 2. Ends: 2018-10-31 (Year, Month, Day)</p> <p>Besides this 000_README.txt file, the dataset includes 326 images (photographs) and three comma-delimited text (csv) files as explained below:</p> <ol> <li>001_valparai_mammals.csv -- raw data file from the mobile app (columns are self-explanatory)</li> <li>002_valparai_mammals.csv -- raw data file of linked images from the mobile app (columns are self-explanatory)</li> <li>003_mammal_occurrence_zenodo_2015-18.csv -- curated and compiled dataset with the following columns:</li> </ol> <ul> <li>observation_id: unique id given to a record (corresponds to fulcrum_id in raw data set) observation</li> <li>latitude: latitude in decimal degrees N (WGS 84 datum)</li> <li>longitude: longitude in decimal degrees E (WGS 84 datum)</li> <li>date_: date of observation</li> <li>time: time of observation</li> <li>place: locality name</li> <li>type_of_observation: type of observation indicating whether it was sighting, sign (based on Vocalisation/call, track/pugmark, scat/dung), death, electrocution, roadkill</li> <li>notes: general notes and remarks including number of individuals where available</li> <li>photo: reference id of corresponding photograph (as in the jpg filename)</li> <li>gps_altitude: altitude in metres estimated by the phone GPS</li> <li>gps_horizontal_accuracy: horizontal accuracy in metres estimated by the phone GPS (set at 500 m in a few cases where GPS location was assigned based on locality name)</li> <li>verbatimIdentification: taxon name as noted originally</li> <li>scientificName: scientific name (or Family in a few cases)</li> <li>vernacularName: common or English name</li> <li>recordedBy: names of observers (separated by | )</li> <li>georeferenceRemarks: remarks on georeference</li> <li>occurrenceID: unique occurrence ID assigned to each taxon (recorded under an observation_id)</li> </ul>
4 image cytochrome dataset with per-shot spectra recorded on the Jungfrau 16M detector at SwissFEL in NeXus format
<p>Cytochrome data recorded in 2019 on the Jungfrau 16M detector recorded at SwissFEL including per-shot spectra measure each SASE pulse.</p> <p>First a NeXus master file was created using scripts in cctbx.xfel:</p> <p>libtbx.python `libtbx.find_in_repositories xfel`/swissfel/jf16m_cxigeom2nexus.py unassembled_file=run_000795.JF07T32V01.h5 geom_file=16M_bernina_backview_optimized_adu_quads.geom wavelength=1.3038 detector_distance=163.9 output_file=./run_000795.JF07T32V01_master_spectrum.h5 beam_file=run_000795.BSREAD.h5 include_spectra=True</p> <p>Then it was sliced down to 4 images that successfully index using the attached script, sliceit.py</p> <p>The file can be processed by DIALS using this command:</p> <p>dials.stills_process run_000795.JF07T32V01_master_spectrum_4img.h5 indexing.phil </p> <p>Where the indexing phil refers to the attached mask and refined geometry file, both produced by DIALS.</p>
Recordings from: Evaluation of a coastal acoustic buoy for cetacean detections, bearing accuracy, and exclusion zone monitoring
<p>1.<span> </span>There is strong socio-political support for offshore wind development in US territorial waters, and construction is planned off several east coast states. Some of the planned development sites coincide with important habitat for critically endangered North Atlantic right whales. Both exclusion zones and passive acoustic monitoring are important tools for managing interactions between marine mammals and human activities. Understanding where animals are with respect to exclusion zones is important to avoid costly construction delays while minimizing the potential for negative impacts. Impact piling from construction of hundreds of offshore wind turbines likely requires exclusion zones as large as 10 km.</p> <p>2.<span> </span>We have developed a three-hydrophone passive acoustic monitoring system that provides bearing information along with marine mammal detections to allow for informed management decisions in real-time. Multiple units form a monitoring system designed to determine whether marine mammal calls originate from inside or outside of an exclusion zone. In October 2021 we undertook a full system validation, with a focus on evaluating the detection range and bearing accuracy of the system with respect to right whale upcalls. Five units were deployed in Mid-Atlantic waters and we played more than >3,500 simulated right whale upcalls at known locations to characterize the detection function and bearing accuracy of each unit. The modeled results of the detection function error were then used to compare the effectiveness of a bearing-based system to a single sensor that can only detect a signal but not ascertain directivity.</p> <p>3.<span> </span>Field trials indicated maximum detection ranges from 4–7.3 km depending on source and ambient noise levels. Simulations showed that incorporating bearing detections provides a substantial improvement in false alarm rates (6 to 12 times depending on number of units, placement, and signal to noise conditions) for a small increase in the risk of missed detections inside of an exclusion zone (1–3%). </p> <p>4.<span> </span>We show that the system can be used for monitoring exclusion zones and clearly highlight the value of including bearing estimation into exclusion zone monitoring plans while noting that placement and configuration of units should reflect anticipated ambient noise conditions.</p>
Fig. 2 in The first documented record of Chvalaea Papp & Földvári, 2002 (Diptera, Hybotidae, Ocydromiinae) from the Australasian Region: a new species and its possible relationship to other members of the genus
Fig. 2. Chvalaea australis sp. nov. A–D. Male terminalia, holotype (AMS). A. Ventral view. B. Dorsal view. C. Left lateral view. D. Right lateral view. E. Female terminalia, paratype (AMS), ventral view. Abbreviations: bac scl = bacilliform sclerite; cerc = cercus; epand = epandrium; hypd = hypandrium; hyprct = hypoproct; ph = phallus; st = sternite; subepand scl = subepandrial sclerite; sur = surstylus; tg = tergite.
Fig. 5 in The first documented record of Chvalaea Papp & Földvári, 2002 (Diptera, Hybotidae, Ocydromiinae) from the Australasian Region: a new species and its possible relationship to other members of the genus
Fig. 5. Living specimens of Chvalaea Papp & Földvári, 2002 from the Australasian Region. A–B. Specimens resting on tips of branches (Geeveston, Tasmania), provided by Tony Daley. C. Specimen resting on a flower of Bedfordia salicina D.C. (Wellington Park, Tasmania), provided by Keith Martin-Smith.
Fig. 3 in The first documented record of Chvalaea Papp & Földvári, 2002 (Diptera, Hybotidae, Ocydromiinae) from the Australasian Region: a new species and its possible relationship to other members of the genus
Fig. 3. Chvalaea australis sp. nov. Wing of male paratype (AMS). Abbreviations: bm = basal medial cell; br = basal radial cell; cua = anterior cubital cell; CuA+CuP = anterior branch of cubital vein + posterior branch of cubital vein; dm = discal medial cell; M1 = first branch of media; M4 = fourth branch of media; R1 = anterior branch of radius; R2+3= second branch of radius; R4+5= third branch of radius.
Fig. 1 in The first documented record of Chvalaea Papp & Földvári, 2002 (Diptera, Hybotidae, Ocydromiinae) from the Australasian Region: a new species and its possible relationship to other members of the genus
Fig. 1. Chvalaea australis sp. nov. A, C–F. ♂, holotype (AMS). A. Habitus, lateral view. B. ♀, paratype (AMS), habitus, lateral view. C. Frons, dorsal view. D. Head, lateral view. E. Hind leg, lateral view. F. Hind tarsus, lateral view.
North China Record-Breaking Rainfall of July 2021 tied to the Arctic Sea-ice change
<p><strong>1、General Introduction:</strong></p> <p>This dataset includes the model simulation data used in the article going to be submitted to Geophysical Research Letters, named “North China Record-Breaking Rainfall of July 2021 tied to the Arctic Sea-ice change”. The Community Atmosphere Model version 5 (CAM5; Neale et al., 2012) in the Community Earth System Model, version 1.2.1 (CESM1.2.1) with a 1.9<sup>◦</sup> ×2.5<sup>◦ </sup>finite volume grid and 30 hybrid sigma pressure levels is utilized to conduct atmospheric model experiments. To validate the impact of the Arctic sea-ice, the Community Atmosphere Model version 5 (CAM5; Neale et al., 2012) in the Community Earth System Model, version 1.2.1 (CESM1.2.1) with a 1.9◦ ×2.5◦ finite volume grid and 30 hybrid sigma pressure levels is adopted. Two experiments are designed. One is called the control experiment (CTL). In this experiment, the model is forced by the seasonal-varying climatology of SST and SIC as the lower boundary forcing. Another is called the sensitivity experiment (SEN). This experiment is the same as the CTL except that SIC and SST over the Barents-East Siberian Sea region (50°–165°E, 70°–80°N) in June and July are set to be the observational values in 2021. Both the CTL and SEN experiments are integrated for 35 years including a 10-year spin-up, whilst the last 25-year ensemble mean is analyzed in the article. The differences between the SEN and CTL experiments (SEN-CTL) reflect the atmospheric responses to the reduced SIC and increased SST over the Barents-East Siberian Sea region in June-July 2021.</p> <p><strong>2、Description of this dataset:</strong></p> <p>CTL represents the control experiment while SEN represents the sensitive experiment. OMEGA, PRECC, PRECL, T, U, V, Z3, and TS denote the vertical velocity, convective precipitation rate, large-scale (stable) precipitation rate, temperature, zonal wind, meridional wind, geopotential height, and surface temperature respectively. All files contain a time coverage from 1 to 35 model-year with a monthly time resolution.</p> <p>The post-processing from 30 hybrid sigma pressure levels to 17 pressure levels has been conducted on the raw data of the model simulations for the variables of OMEGA, T, U, V, and Z3.</p>
beehive Audio recordings
<p>The beehive audio dataset contains 10,000 audio files.</p> <p>Naming convention: <YYMMDD>-<HHMMSS>-<HIVE_ID>.wav</p> <p>Sample rate: 8000 Hz</p> <p>number of values: 65625</p> <p>length of each recording: 8,203125 s</p> <p>format: WAV</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.