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564 results for “June”
Ludwig Institute/UCSD ENCODE project June 2007 Release
GEO Series GSE7872. Homo sapiens. 50 samples. Type: Genome binding/occupancy profiling by genome tiling array.
Figure 1. A in The behaviour of Cotinis nitida Linnaeusı the green June beetle (Coleoptera: Scarabaeidae)ı on mowed lawns makes them especially vulnerable to bird predators
Figure 1. A blue jay perched in a pin oak (Quercus palustris) growing on the farm lawn searching for male beetles about to land on the grass after the insects had detected a pheromone-releasing female near the spot. Jays will fly up to 35 meters from their perches in trees to capture beetles that have slowed their flight and dropped close to or onto the lawn near a calling female.
Taguan - RGB (June 2023)
<p>This orthomosaic of the Taguan site in Mangilao, Guam was created from 370 images taken on June 15 2023, at 400 ft AGL, with a DJI P1 Sensor mounted to a DJI Matrice 300 UAV. The mission was planned using the DJI Pilot application and post-processed using DroneDeploy. </p> <p>This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."</p>
DIVINE: Andalusia Agroclimatic Information Network Historic Datasets - MALAGA - (June 23 - May 24)
Open the record for dataset details and reuse information.
Fungal Planet 2023 June - Cladosporium corticola
<p>Alignment and tree of Cladosporium corticola.</p>
Aerosol, Temperature and Water Vapor profiling during the BIOSPHERE Athens Campaign (June-August 2023) - NTUA
<p>Level 3 of the lidar data obtained by the EOLE and DEPOLE lidar systems in the National Technical University of Athens (NTUA), during the EURAMET European Partnership on Metrology (EPM) project BIOSPHERE at June 2023. </p>
Rangiwahia Cemetery - 16 June 2020
Rangiwahia Cemetery, Rangiwahia, Manawatu District, New Zealand Source: Objaverse 1.0 / Sketchfab
Green Catalog of Galactic SNRs (June 2017 Version)
This catalog of known Galactic supernova remnants (SNRs) is an updated version of the catalogs of Galactic SNRs presented in detail in Green (1984, 1988), in summary form in Green (1991, 1996, 2004, 2009), and on the Web (versions of 1995-July, 1996-August, 1998-September, 2000-August, 2001-December, 2004-January, 2006-April, 2009-March, and 2014-May). [Note that the version published in Green (1996) was produced in 1993.] This June 2017 version of the catalog contains 295 SNRs, and is based on results published in the literature up to the end of 2016. The basic summary data included in this catalog for each SNR are its designation, position, angular size (in arcminutes), type, flux density at 1 GHz, spectral index, and any other names by which it is known. Notes on these parameters, on possible remnants not included, and on questionable SNRs that are listed in this catalog, are given in the full version of the catalog on the Web at <a href="http://www.mrao.cam.ac.uk/surveys/snrs/snrs.info.html">http://www.mrao.cam.ac.uk/surveys/snrs/snrs.info.html</a> It should be noted that there are serious selection effects which apply to the identification of Galactic SNRs (e.g., Green 1991, 2004, 2005, 2009, 2014), so that care should be taken if these data are used in any statistical studies. This version of the Green Catalog of Galactic Supernova Remnants was ingested at the HEASARC in July 2017. It is based on the Catalogue of Galactic Supernova Remnants, 2017 June version, <a href="https://cdsarc.cds.unistra.fr/ftp/cats/VII/278">CDS Catalog VII/278</a>, file snrs.dat, obtained from the CDS at <a href="http://cdsarc.u-strasbg.fr/ftp/cats/VII/278/">http://cdsarc.u-strasbg.fr/ftp/cats/VII/278/</a>. This is a service provided by NASA HEASARC .
General Catalog of Variable Stars (June 2022 Version)
Work aimed at compiling detailed catalogs of variable stars in the Galaxy, which has been carried out continuously by Moscow variable-star researchers since 1946 on behalf of the International Astronomical Union, has entered the stage of the publication of the 5th, completely electronic edition of the General Catalog of Variable Stars (GCVS). The GCVS 5.1 is freely accessible on the Internet. The authors recommend citing their paper as a unified reference to the 5th edition of the GCVS. The GCVS is the only reference source on all known variable stars. This version contains the electronically-readable version as distributed by the Sternberg Astronomical Institute and Institute of Astronomy (Russian Acad. Sci.), Moscow. After the publication of Volume III of the 4th edition of the GCVS, the subsequent Name-lists with numbers from 67 to 77 contained only names of variable stars in the GCVS systems, together with their coordinates and variability types. The authors actually started compiling the 5th edition of the GCVS ten years ago, with the 78th Name-list of Variable Stars, which provided (as did all subsequent Name-lists) complete GCVS information for each star (in addition to the variability types, ranges of brightness variations, epochs of brightness maxima or minima, periods, etc.). In all, the 78th-81st Name-lists contain more than 13300 variable stars. The complete revision of information on the coordinates of variable stars (see the Introduction section of the reference paper) was also a part of the transition to the 5th edition. The present electronic version of the GCVS5.1 is available from Sternberg Astronomical Institute (Lomonosov Moscow University) and Institute of Astronomy (Russian Academy of Sciences) at <a href="http://www.sai.msu.su/gcvs/gcvs/">http://www.sai.msu.su/gcvs/gcvs/</a> as a first release of the fifth GCVS edition. Information on the contents and principles of the fifth edition can be found in Samus et al. (2017), the official reference to GCVS 5.1. The GCVS 5.1 version contains data for individual variable objects discovered and named as variable stars by 2021 and located mainly in the Milky Way galaxy. The total number of named variable stars, not counting designated non-existing stars or stars subsequently identified with earlier-named variables, is now 58035. The stars of the GCVS 5.1 are stars of the GCVS fourth edition plus Name-lists Nos. 67-84. The stars from the Name-lists Nos.78-84 are presented in the complete GCVS format. Complete information for stars of the Name-lists Nos. 67-77 is so far provided in the first 20 constellations (Andromeda to Cepheus). In these constellations, the GCVS information has been completely revised with active use of new publications as well as observations retrieved by the GCVS compilers by data mining and used to determine new variability types and new light elements whenever possible. The authors are continuing this work and will introduce new data for the next constellations as soon as they are ready. This version of the GCVS catalog was last updated by the HEASARC in September 2022, based on the file at <a href="http://www.sai.msu.su/gcvs/gcvs/gcvs5/gcvs5.txt">http://www.sai.msu.su/gcvs/gcvs/gcvs5/gcvs5.txt</a>. This is a service provided by NASA HEASARC .
RTA & IFASD June-July 2011
Information that was shared at the meetings held in Paris is located in this resource page <a href="http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6VK2-4TC925R-1-1&_cdi=6110&_user=141910&_pii=S1270963808000783&_origin=search&_zone=rslt_list_item&_coverDate=03%2F31%2F2009&_sk=999869997&wchp=dGLzVlb-zSkzV&md5=be385b276b917ea4c7c982a90fff7586&ie=/sdarticle.pdf">Paper that was published in magazine</a> is linked directly
CfA Redshift Catalog (June 1995 Version)
The ZCAT database contains the CfA Redshift Catalog, which incorporates much of the latest velocity data from the Whipple Observatory and other sources, as well as velocities from earlier compilations such as the "Second Reference Catalog" of de Vaucouleurs, de Vaucouleurs, and Corwin; the "Index of Galaxy Spectra" of Gisler and Friel; and the "Catalog of Radial Velocities of Galaxies" of Palumbo, Tanzella-Nitti, and Vettolani. It includes BT magnitudes, some UGC numbers, and increased "accuracy" in the velocity source information. The data presented here have primarily been assembled for the purpose of studying the large scale structure of the universe, and, as such, are nearly complete in redshift information, but are not necessarily complete in such categories as diameter, magnitude, and cross-references to other catalogues. The original HEASARC version was constructed based on an earlier version of the catalog and was released on November 15, 1996. The HEASARC created the current version of ZCAT in February 2001 based on CDS/ADC Catalog VII/193, "The CfA Redshift Catalogue", Version June 1995, tables <a href="https://cdsarc.cds.unistra.fr/ftp/cats/VII/193/zcat.dat">https://cdsarc.cds.unistra.fr/ftp/cats/VII/193/zcat.dat</a> and zbig.dat. The former table contains the main body of the CFA Redshift Catalog (57536 objects) and entries from it are distinguishable in the current database by having either listed radial velocity values but not redshifts or neither, while the latter table contains 1202 high-redshift galaxies (distinguishable in the current database by their having listed redshift values but not radial velocities). This is a service provided by NASA HEASARC .
IMAGES OF COMET 9P/TEMPEL 1 FROM FEBRUARY TO JUNE 2005 V1.0
The data set consists of raw and reduced ground-based images of comet 9P/Tempel 1 in the broadband R and narrowband HB filters taken at the Kitt Peak 2.1m telescope from February to June 2005 prior to the Deep Impact encounter.
32 values attributed to design and technology education identified from interviews conducted between June 2012 and June 2014
<p>32 values attributed to design and technology education identified from interviews and surveys conducted between June 2012 and June 2014.</p> <p>This dataset is the identified values from participants representing school senior leaders, design and technology teachers, non-design and technology teachers, academics, pupils, parents and student teachers.</p> <p> </p>
DEM of the Bossons glacier (22 June 2023)
<p>DEM of the Bossons glacier in the vicinity of the lake measured the 22 June 2023 by Latitude Drone (Arnaud STEPHAN)</p><p>Format:<br>x, y (meters Lambert 2 or Lambert 93) and z ((meters NGF IGN 69) for the glacier DEM (mnt_bossons)<br>orthophoto in Lambert 2 and NGF IGN 69</p>
Meteorological Fields Central Chile for June-July 2023 V2
<p>Met fields based on WRF Configurations for central Chile from Bozkurt, terrain height has been added to the file</p>
Word-zone ROI IDs+txt for the Monk historical manuscript collection / June 2018
<p>Checkpointed state of the labeling situation in the Monk e-Science service for handwritten document indexing as of June 2018. The reason for the upload is the migration from the IBM gpfs system of the Target project (EU/SNN) to a new Lustre file system of the CIT of the university of Groningen. This valuable indexing information contains 'the human' labels for regions of interest on page scans. However, the original images are needed to make sense of this. In case of a calamity, they very often can be reconstructed because the orginal scan file names by the archives and institutions are maintained. The amount of image data would be too much for uploading to Zenodo, too.</p> <p>Example data portion:</p> <p>Monk internal ID with embeded x,y,w,h of ROIs,<br> followed by <txt>label....</txt> <br> Word zones are of the type RECOG or HUMAN.</p> <p><sub>navis-NNM001001033_0001-line-001-y1=44-y2=552-zone-RECOG-x=0285-y=0359-w=1216-h=<br> 0094-ybas=0433-nink=174-ns=2-segm=COCOS8cocos <txt>0,</txt><br> navis-NNM001001033_0001-line-001-y1=44-y2=552-zone-RECOG-x=0285-y=0430-w=0020-h=<br> 0023-ybas=0433-nink=114-ns=1-segm=COCOS8cocos <txt>x</txt><br> navis-NNM001001033_0001-line-001-y1=44-y2=552-zone-RECOG-x=1487-y=0243-w=0339-h=<br> 0215-ybas=0433-nink=7762-ns=8-segm=COCOS8cocos <txt>Dadap</txt><br> navis-NNM001001033_0001-line-001-y1=44-y2=552-zone-RECOG-x=1487-y=0243-w=0384-h=<br> 0215-ybas=0433-nink=7690-ns=3-segm=COCOS8cocos <txt>Dadap</txt><br> navis-NNM001001033_0001-line-001-y1=44-y2=552-zone-RECOG-x=1487-y=0243-w=0396-h=<br> 0215-ybas=0433-nink=8614-ns=9-segm=COCOS8cocos <txt>Mandor's</txt><br> navis-NNM001001033_0001-line-001-y1=44-y2=552-zone-RECOG-x=1487-y=0244-w=0237-h=<br> 0214-ybas=0433-nink=7758-ns=7-segm=COCOS8cocos <txt>@Tropinatus</txt><br> navis-NNM001001033_0001-line-001-y1=44-y2=552-zone-RECOG-x=1487-y=0245-w=0228-h=<br> 0213-ybas=0433-nink=7708-ns=6-segm=COCOS8cocos <txt>Pati</txt><br> navis-NNM001001033_0001-line-001-y1=44-y2=552-zone-RECOG-x=1487-y=0246-w=0223-h=<br> 0212-ybas=0433-nink=7705-ns=5-segm=COCOS8cocos <txt>@Tropinatus</txt></sub></p> <p> </p>
Clinical Dataset for Risk Factors for Overall Survival in Hospitalized Adults Receiving Total Parenteral Nutrition: A Retrospective Cohort Study at a Social Security Hospital in Peru: January 2022 – June 2023
<p>This Excel dataset contains de-identified clinical data collected over a two-year period, aimed at evaluating risk factors associated with 90-day mortality in hospitalized patients receiving total parenteral nutrition (TPN). The dataset includes variables such as age, sex, clinical diagnosis, comorbidities, days in the ICU, days receiving TPN, laboratory values (lymphocytes, platelets, TGP), and the presence of acute kidney injury (AKI) or chronic kidney disease (CKD).</p> <p>The data is structured in rows, with each row representing an individual patient, and columns corresponding to the various clinical and laboratory parameters. It was used to perform survival analysis using Cox proportional hazards models and other statistical techniques. Sensitive information has been removed to ensure patient confidentiality.</p> <p>Access to the dataset is restricted, and permission must be requested for its use in further research.</p> <p><strong>File format:</strong> Excel (.xlsx)<br><strong>Keywords:</strong> Total Parenteral Nutrition, 90-Day Mortality, Risk Factors, Clinical Dataset, Cox Regression</p>
AIS data prepared by Statsat AS for June 2020
<p>AIS data prepared and provided by Statsat AS (Norway) in the framework of the T-SAR project (<em>IKTPLUSS programme on reducing digital vulnerabilities, </em><strong>10 MNOK from the Research Council of Norway, Norway</strong>).</p> <p>The dataset contains AIS data (satellite + other) on a global coverage for 2020. There is one zip file and its name is the month (01 for January to 12 for December) ending with '.zip' and the zip file contains zipped Comma Separated Values (CSV) files; one per day.</p> <p> </p> <p>The CSV zipped files are named with the following convention: ais_YYYYMMDD.zip where YYYY is the year (here 2020), MM the month (01 to 12) and DD the day (01 to 31 depending on the month). For instance, ais_20200101.zip contains one single CSV file called ais_20200101.csv that corresponds to the 1st January 2020.</p> <p>The csv files have one header line:</p> <p>mmsi;lon;lat;date_time_utc;sog;cog;true_heading;nav_status;rot;message_nr;source</p> <p>where:</p> <table> <tbody> <tr> <td> <p><strong>mmii</strong></p> </td> <td> <p>integer</p> </td> <td> <p>MMSI number of the vessel (AIS identifier). All records belonging to the same vessel will have the same identifier.</p> </td> </tr> <tr> <td> <p><strong>lon</strong></p> </td> <td> <p>float</p> </td> <td> <p>Geographical longitude (WGS84) between -180 to 180</p> </td> </tr> <tr> <td> <p><strong>lat</strong></p> </td> <td> <p>float</p> </td> <td> <p>Geographical latitude (WGS84) between -90 to 90</p> </td> </tr> <tr> <td> <p><strong>date_time_utc</strong></p> </td> <td> <p>datetime</p> </td> <td> <p>Date and Time (in UTC) when position was recorded by AIS. It is represented as: YYYY-MM-DD HH:MM:SS (for instance 2020-01-01 00:00:00).</p> </td> </tr> <tr> <td> <p><strong>sog</strong></p> </td> <td> <p>float</p> </td> <td> <p>Speed over ground (knots)</p> </td> </tr> <tr> <td> <p><strong>cog</strong></p> </td> <td> <p>float</p> </td> <td> <p>Course over ground (degrees)</p> </td> </tr> <tr> <td> <p><strong>true_heading</strong></p> </td> <td> <p>integer</p> </td> <td> <p>Heading (degrees) of the vessel's hull. A value of 511 indicates there is no heading data.</p> </td> </tr> <tr> <td> <p><strong>nav_status</strong></p> </td> <td> <p>integer</p> </td> <td> <p>Navigation status according to <a href="https://api.vtexplorer.com/docs/ref-navstat.html"><strong>AIS Specification</strong></a></p> </td> </tr> <tr> <td> <p><strong>rot</strong></p> </td> <td> <p>integer</p> </td> <td> <p>rate of turn</p> </td> </tr> <tr> <td> <p><strong>message_nr</strong></p> </td> <td> <p>integer</p> </td> <td> <p>message number</p> </td> </tr> <tr> <td> <p><strong>source</strong></p> </td> <td> <p>integer</p> </td> <td> <p>source is the source of AIS data ('g' for ground or 's' for satellite).</p> </td> </tr> </tbody> </table> <p>One row in the CSV file corresponds to one message.</p>
Continuous passive seismic data recorded at the Larderello-Travale geothermal field (June 2017-January 2018)
<p>The compressed files contain the continuous data (in mseed format) recorded from 23 June 2017 to 21 January 2018 by 8 temporary stations installed in the Larderello-Travale geothermal field (Lago Boracifero area). VN.dseed is a dataless SEED containing the metadata about the instruments.</p>
Bathymetry of Bossons Lake of 26 June 2023
<p>Bathymetry of the Bossons lake done the 26 June 2023. </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.