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797 results for “GR”
Text-fig. 7. Lower molars of Arvicola ex gr. sapidus MILLER, 1908 from Mikhailovka-5. a–g: m1, h–j: m2, k–m: m3. in Late Pleistocene (Eemian) Mollusk And Small Mammal Fauna From Mikhailovka-5 (Kursk Oblast, Central Russia)
Text-fig. 7. Lower molars of Arvicola ex gr. sapidus MILLER, 1908 from Mikhailovka-5. a–g: m1, h–j: m2, k–m: m3.
Text-fig. 1. Schematic drawing, demonstrating the basic endoskeletal elements of the craniate head. Sclerotomic derivatives red and pharyngoqualar derivatives yellow. b: basal pharyngoqualar segment; c: ceratal pharyngoqualar segment; ct: cartilago teniformis (blue); e: epal pharyngoqualar segment; gr: gill rays; h: hypal pharyngoqualar segment; la: lower arcual element; lt: laterotectal element; mt: mediotectal element; n: notochord (green); s: summital pharyngoqualar segment; t: telical pharyngoqualar segment; ua: upper arcual element. in Cartilago Teniformis And Its Derivatives: Additional Information On The Basic Composition And Evolution Of The Skull
Text-fig. 1. Schematic drawing, demonstrating the basic endoskeletal elements of the craniate head. Sclerotomic derivatives red and pharyngoqualar derivatives yellow. b: basal pharyngoqualar segment; c: ceratal pharyngoqualar segment; ct: cartilago teniformis (blue); e: epal pharyngoqualar segment; gr: gill rays; h: hypal pharyngoqualar segment; la: lower arcual element; lt: laterotectal element; mt: mediotectal element; n: notochord (green); s: summital pharyngoqualar segment; t: telical pharyngoqualar segment; ua: upper arcual element.
Text-fig. 13. Photo of an upper canine root cut of a bear from the cave bear group (Ursus ex gr. spelaeus). The approximate age of individual is 14.5 years (No 6 in Tabs 6, 7). Photo by M. Nývltová Fišáková. in The Mammalian Fauna Of Barová Cave (Moravian Karst, The Czech Republic)
Text-fig. 13. Photo of an upper canine root cut of a bear from the cave bear group (Ursus ex gr. spelaeus). The approximate age of individual is 14.5 years (No 6 in Tabs 6, 7). Photo by M. Nývltová Fišáková.
Text-fig. 8. Photo of gnawing marks on the distal joint of humerus of a bear from the cave bear group (Ursus ex gr. spelaeus). Photo by V. Káňa. in The Mammalian Fauna Of Barová Cave (Moravian Karst, The Czech Republic)
Text-fig. 8. Photo of gnawing marks on the distal joint of humerus of a bear from the cave bear group (Ursus ex gr. spelaeus). Photo by V. Káňa.
Text-fig. 6. Fossil endocasts of large mammals from Gánovce-Hrádok Neanderthal site. a) Equidae gen. et sp. indet. (NM-Rv 21008); b) Equidae gen. et sp. indet. (NM-Rv 21007); c) Equidae gen. et sp. indet. (NM-Rv 21006); d) Bovidae gen. et sp. indet. (NM-Rv 21009); e) Ursus ex gr. spelaeus (NM R-604); f) Ursus ex gr. spelaeus (NM-Rv 21010); lateral and dorsal (except for f: ventral) views; lateral view for d and f are inverted. in Revised Floral And Faunal Assemblages From Late Pleistocene Deposits Of The Gánovce-Hrádok Neanderthal Site -Biostratigraphic And Palaeoecological Implications
Text-fig. 6. Fossil endocasts of large mammals from Gánovce-Hrádok Neanderthal site. a) Equidae gen. et sp. indet. (NM-Rv 21008); b) Equidae gen. et sp. indet. (NM-Rv 21007); c) Equidae gen. et sp. indet. (NM-Rv 21006); d) Bovidae gen. et sp. indet. (NM-Rv 21009); e) Ursus ex gr. spelaeus (NM R-604); f) Ursus ex gr. spelaeus (NM-Rv 21010); lateral and dorsal (except for f: ventral) views; lateral view for d and f are inverted.
Abb. 3 in Vereinsausflug 2013 des EVB in die Surselva (GR) (6.-7. Juli 2013)
Abb. 3. Die Käferspezialisten Christoph Germann und Michael Geiser bei der Gesiebeprobe in den Bergen. (Foto Christoph Germann)
Abb. 2 in Vereinsausflug 2013 des EVB in die Surselva (GR) (6.-7. Juli 2013)
Abb. 2. Kurz-Exkursion an den Vorderrhein unter der Leitung von Jürg Schmid (ganz rechts). (Foto Elisabeth Friedli)
Abb. 1 in Vereinsausflug 2013 des EVB in die Surselva (GR) (6.-7. Juli 2013)
Abb. 1. Teilnehmerinnen und Teilnehmer des Vereinsausflugs im Hotel Staziun in Rabius (Sumvitg, GR). (Foto Christoph Germann)
Fig. 1 in Osservazione di un'incursione della formica amazzone Polyergus rufescens (Latreille, 1798) a Roveredo (GR)
Fig. 1. Fila di operaie di Polyergus rufescens Fig. 2. Polyergus rufescens con pupa tra le man- (Latreille, 1798) su un muretto a Roveredo (GR). dibole e Serviformica che si difende. (Foto Anya (Foto Anya Rossi-Pedruzzi) Rossi-Pedruzzi)
PPAST-GR Dataset: Greek Parliament Proceedings post WWII Analysis and Recognition
<p>The first post-WWII years in Greece were devastating. After a brutal Nazi occupation, the Greek Civil War (1946–1949) erupted. It wrecked the economy and the country’s infrastructure and altered politics and the social fabric for decades to come. For the tense and unstable first years of the conflict (1946–1947), a study of the issues discussed in the Greek parliament could facilitate our understanding of the society at the time. An obstacle is that parliament proceedings are publicly available in a machine-readable form from 1989; before that only scanned images of the original records exist. We show that text recognition followed by natural language processing can unlock this corpus for historical research. Using Transkribus, we trained a text recogniser (1.5% CER) that we applied to 3,156 images from 1946 and 1947. As low-quality recognition is inevitable, we trained a language model on the transcribed text and applied it to recognised text, discarding records with high average cross-entropy. Using information extraction techniques, we sampled speeches that were applauded and we introduce the first quantification of issues that were thus received. All our resources will be made public.</p> <p>Our model is publicly available through the Transkribus platform (http://www.transkribus.org/) under the name "Greek Parliamentary Proceedings 1946".</p>
The nuclear import receptor Kapβ2 modifies neurotoxicity mediated by poly(GR) in C9orf72-linked ALS/FTD
Open the record for dataset details and reuse information.
Cross-linked Mass Spectrometry (MALDI) data of GR C3 NTD and TSG101cc
<p>The zip file contains three folders from three separate datasets. The proteins were cross-linked with DST and then run on SDS-PAGE to separate unlinked protein. Bands were cut from the gels and then proteolyses overnight before conducting MS. Most of the datasets were collected using trypsin to produce protein fragments or in one case trypsin + chymotrypsin. Each folder contains a large number of control samples including: blank portions of the gel, uncross-linked protein samples, cross-linked GR without TSG101, cross-linked TSG101 without GR (four different bands because of much self-cross-linking). The files were hand curated for analysis.</p>
Die späteisenzeitliche Siedlung von Trimmis GR im Alpenrheintal – Ergänzende Daten
<p>Ergänzende Daten zum im Jahrbuch Archäologie Schweiz 2021 erschienenen Artikel "Die späteisenzeitliche Siedlung von Trimmis GR im Alpenrheintal"</p>
GR-RWL1-O15J16 Daily refugee arrivals and weather data Greece Oct2015-Jan2016
<p>This package contains a set of data regarding daily refugee arrivals at the Greek islands of first-reception in teh Aegean Sea, for the most intense period of influx waves, from the beginning of October 2015 until the mid-January of 2016.</p> <p>The sources of the data are:<br /> 1) For daily arrivals:<br /> UNHCR Refugees/Migrants Emergency Response (Data mashups)<br /> http://data.unhcr.org/mediterranean/country.php?id=83<br /> 2) For weather:<br /> Searchable Weather Database - National Observatory (Greece)<br /> http://meteosearch.meteo.gr/</p> <p>The datasets from (1) have already been used in various publications describing<br /> such predictive analytics models. Detailed description and related conclusions<br /> can be found at:</p> <p>* Harris V. Georgiou, "Identification of refugee influx patterns in Greece via<br /> model-theoretic analysis of daily arrivals" (9-May-2016),<br /> https://arxiv.org/abs/1605.02784</p> <p>_______________________________________________<br /> AVAILABLE FILE FORMATS</p> <p>The datasets are available in the following formats (included):</p> <p>*.xlsx : MS-Excel/LibreOffice native spreadsheets<br /> *.csv : comma-separated plaintext spreadsheets<br /> *arff : WEKA native data source (plaintext)</p> <p>These data formats are equivalent, i.e., they contain the exact same sets of data. Normally, at least one of them should be compatible with any major programming platform (e.g. Matlab, Octave, R) or any native programming language for arbitrary handling (e.g. C, Java).</p>
GR-PLW6-Y07Y11 Electricity Power Loads and Weather data, Greece, Jan.2007-Dec.2011
<p> Dataset: GR-PLW6-Y07Y11</p> <p> Electricity Power Loads and Weather data<br /> Greece, Jan.2007 - Dec.2011<br /> <br /> Release Notes</p> <p> Copyright (c) 2016 by Harris V. Georgiou</p> <p>========================================================<br /> Release: Jul 30, 2016</p> <p> - Version: 1.1a<br /> - Format: .mat<br /> ========================================================</p> <p>This file contains important information about the current version of the dataset package. Downloading and using this material hints that you accept the EULA/Terms-of-Use (please read carefully).</p> <p>We welcome your comments and suggestions.</p> <p>_______________________________________________<br /> WHAT'S IN THIS PACKAGE?</p> <p>- Overview<br /> - Available file formats<br /> - Files and Datasets<br /> - License Agreement</p> <p>_______________________________________________<br /> OVERVIEW</p> <p>Power load forecasting is one of the major technical challenges today, especially for urban areas in developed and developing countries. Short-term forecasting is based on the power load data series, as well as localized weather data (e.g. temperature, cloud cover, etc).</p> <p>The concept of "smart grid" is such an effort for addressing, among other things, the tasks of early detection, emergency response and self-healing of the energy grids in "smart cities".</p> <p>This package contains two sets of data including five-year power load logs for the entire Greece, as registered by the Independent Power Transmission Operator (IPTO or ADMIE), and eight-year weather data from six measuring stations in areas of major trends in the mainland, as registered by the NOAA Satellite and Information Service (USA).</p> <p>_______________________________________________</p> <p>AVAILABLE FILE FORMATS</p> <p>The datasets are available in the following formats (included):</p> <p>*.mat : Matlab/Octave native data file (workspace)</p> <p> </p>
GR-OXMSTR-N10N11 Oximetry/heartrate and brain strokes
<p> Dataset: GR-OXMSTR-N10N11</p> <p> Oximetry/heartrate and brain strokes<br /> Greece, Nov.2010 - Nov.2011<br /> <br /> Release Notes</p> <p> Copyright (c) 2016 by Harris V. Georgiou</p> <p>========================================================<br /> Release: Jul 30, 2016</p> <p> - Version: 1.1a<br /> - Format: .xls/.txt/.mat<br /> ========================================================</p> <p><br /> This file contains important information about the current version of the dataset package. Downloading and using this material hints that you accept the EULA/Terms-of-Use (please read carefully).</p> <p>We welcome your comments and suggestions.</p> <p>_______________________________________________<br /> WHAT'S IN THIS PACKAGE?</p> <p>- Overview<br /> - Available file formats<br /> - Files and Datasets<br /> - License Agreement</p> <p>_______________________________________________<br /> OVERVIEW</p> <p>Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a common disorder, in which upper airway resistance is increased during sleep due to upper airway dilator muscle relaxation and airway narrowing. It is a common disorder and a recognized public health problem, affecting roughly 2-4% of adult male and 1-2% adult female population. It is still under-diagnosed and believed to be linked with severe cardiovascular diseases, including hypertension, chronic fatigue, metabolic disorders, daytime sleepiness, etc.</p> <p>Additionally, recent studies in neurophysiology link brain strokes with some abnormal variances and change of patterns in oxygene saturation (SpO2) in the blood, due to (possible) damage in the brain, especially in the stem.</p> <p>This package contains two sets of data including real heart rate and SpO2 measurements throughout multiple timezones (awake or asleep) for a total of 118+55 unique patients of normal, stroke, and stem stroke classes. The data are of complete-signal registration in full resolution, so that it can be used for thorough signal processing (e.g. spectral analysis), feature extraction and classification for computer-aided diagnosis (CAD).</p> <p>The sources of the datasets were created in collaboration with the people of Acute Stroke Unit, Dept of Neurology, Eginition, School of Medicine, National Kapodistrian University of Athens (NKUA/UoA), Greece.</p> <p>These datasets have already been used in various publications describing OSAHS characterization. Detailed description and related conclusions can be found at:</p> <p>* Harris V. Georgiou, "Adaptive detection and severity level characterization algorithm for Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS) via oximetry signal analysis" (28-Aug-2013) -- https://arxiv.org/abs/1308.6203</p> <p>_______________________________________________<br /> AVAILABLE FILE FORMATS</p> <p>The datasets are available in the following formats (included):</p> <p>*.xls : MS-Excel/LibreOffice native spreadsheets<br /> *.asc : space-separated plaintext spreadsheets<br /> *.mat : Matlab/Octave native data file (workspace)</p> <p>These data formats are equivalent, i.e., they contain the exact same sets of data. Normally, at least one of them should be compatible with any major programming platform (e.g. Matlab, Octave, R) or any native programming language for arbitrary handling (e.g. C, Java).</p>
GR-SCBET-Y03Y07 Soccer bets and teams DB from coupons, Greece, Aug.2003 - Mar.2007
<p>========================================================</p> <p> Dataset: GR-SCBET-Y03Y07</p> <p> Soccer bets and teams DB from coupons<br /> Greece, Aug.2003 - Mar.2007<br /> <br /> Release Notes</p> <p> Copyright (c) 2016 by Harris V. Georgiou</p> <p>========================================================<br /> Release: Aug 3, 2016</p> <p> - Version: 1.1a<br /> - Format: .xls<br /> ========================================================</p> <p><br /> This file contains important information about the current version of the dataset package. Downloading and using this material hints that you accept the EULA/Terms-of-Use (please read carefully).</p> <p>We welcome your comments and suggestions.</p> <p>_______________________________________________<br /> WHAT'S IN THIS PACKAGE?</p> <p>- Overview<br /> - Available file formats<br /> - Files and Datasets<br /> - License Agreement</p> <p>_______________________________________________<br /> OVERVIEW</p> <p>Athletic betting and successful risk management is one of the most challenging tasks in Machine Learning and A.I. in general. With only limited information and very sparsely distributed data, an algorithm has to model the teams' competency and predict outcomes of games, even when two teams face each other for the first time.</p> <p>This package contains two main datasets, generated from soccer betting coupons in Greece throughout a 3.5 year period and including every game that was included for any championship and any team. The first dataset corresponds to 43.758 matches with complete odds, final result and goals. The second is team-based statistics from these matches for a total of 1.126 teams from various championships (European and other).</p> <p>These datasets can be used as benchmark training sets for odds-oriented or team-oriented predictive models and algorithms, relevant not only to athletic betting but also other contexts, lile in in financial risk management. In the case of team-oriented modeling, special ELO-like ranking algorithms can be developed and tested against the official team/country rankings, as in UEFA and FIFA, but tailored to specific teams or championships, in order to evaluate and fine-tune the models.</p> <p>Note: Team names are in Greek, but they can be used as-is for proper referencing to unique IDs, i.e., practically they can be ignored.</p> <p>_______________________________________________<br /> AVAILABLE FILE FORMATS</p> <p>The datasets are available in the following formats (included):</p> <p>*.xls : MS-Excel/LibreOffice worksheet data file (exportable)</p> <p> </p>
Natural Gamma Ray (GR-K-Th-U)
<p>Natural Gamma Ray dataset from Sergipe Basin (Core SER-03).</p> <p>GR (cps); K (%), Th (ppm) and U (ppm)</p>
Captions of Vat. gr. 752 from the illustrations on Ps 1–151 – Dataset
<p>This is a beta-version.</p>
BG, GR-GRC, TR-TUE. in Atlas of European millipedes 3: Order Chordeumatida (Class Diplopoda)
BG, GR-GRC, TR-TUE.
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.