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1,423 results for “marking”
Evaluation of the saturator efficiency of the low frost-point generator INRIM 03 Mark 1
<p>These datasets refers to the evaluation of the saturator efficiency of the low frost-point generator INRIM 03 developed at the Istituto Nazionale di Ricerca Metrologica. Alternating the inlet gas between a dry source and a moist gas source is it possible to test the capability of the generator to saturate the carrier gas (or condensate the excess water) at the corresponding saturation<br>temperature.</p> <p>This work has been carried out within the European Metrology Programme for Innovation and Research (EMPIR) Project ‘PROMETH2O—Metrology for trace water in ultra-pure process gases’.<br>This project (Grant No. 20IND06 PROMETH2O) has received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.</p>
Data associated with the manuscript: Andean bear tree selectivity for scent-marking in Ecuadorian cloud forests
<p>This is the original version of data used for the manuscript, <em>Andean bear tree selectivity for scent-marking in Ecuadorian cloud forests</em>. The data are in four files following the numerical order and titles of the Results section in the manuscript, i.e. <em>1_PCA.csv</em>, <em>2_Modeling tree selection at the individual-tee level.csv</em>, <em>3_Modeling tree selection on a local spatial scale.csv</em>, <em>4_Modeling formation of marked-tree cluster sites.csv. We used these datasets for our analysis in the program R, the details are provided in the Methods section. </em><span>Our field work was performed in compliance with the Framework Agreement for access to genetic resources called "Biodiversity Study of Ecuador '' made between the Ecuadorian Ministry of Environment and the UTPL. The code for the Agreement is MAE-DNB-CM-2015-0016-M-0002. The research was funded by Bears in Mind, International Association for Bear Research and Management, the Faculty of Environmental Sciences of Czech University of Life Sciences in Prague, National Geographic Society, Nature and Culture International, GIZ Ecuador, and Trailcampro. </span></p>
Zero marking and word order of core arguments
<p>This material contains the dataset from the <a href="https://version.helsinki.fi/hals/sinnemaki/sinnemaki2010">gitlab repository</a> of the following article, with corrections and some additions. Please cite the article when using the data.</p> <p>Sinnemäki, Kaius 2010. Word order in zero-marking languages. <em>Studies in Language</em> 34(4): 869–912.</p>
RoadArrowORIEN: dataset of 6701 images (64x64 pixels) of straight arrow-type road markings and their azimuths
<p>The dataset consisting of 6701 PNG images (64x64 pixels) of straight arrow type road markings with different dimensions and orientations, together with the angle it forms with respect to the vertical axis (azimuth), has been constructed in the framework of the SROADEX project to train a regression neural network to calculate the azimuth of other straight arrows that can be identified in high resolution aerial orthoimages.</p> <p>The dataset was created by labeling with the labelme tool the straight arrows on orthoimage tesserae of 256x256 pixels. After semantic labeling by drawing an arrow on the orthoimage, the data was automatically processed to calculate the azimuthal angle. The procedure followed is as follows:<br> 1.- The vertices of the generated arrow-shaped polygon have been extracted.<br> 2.- Clusters of nearby points have been generated, with a minimum of 2 points and the cluster with less points and the one with more points has been identified. <br> 3.- For the clusters, the centroid has been generated, preserving the information of the number of vertices that define the cluster.<br> 4.- Then a vector has been generated with origin in the centroid of the arrow with less vertices grouped and as end the centroid with the highest number of vertices.<br> 5.- Finally, the azimuth of this vector with respect to the ordinate axis has been calculated, <br> The images have been automatically cropped with a constant size of 64x64 pixels taking an extension greater than the occupied of the arrow in the scene.</p> <p>The shared dataset consists of a compressed file with the images and a text file in CSV format with the names of the images and the normaliced [0..1] Azimutal angles of the straight arrows contained in the images.</p>
Supplementary data for the article "Head and dependent marking and dependency length in possessive noun phrases: a typological study of morphological and syntactic complexity"
<p>This material contains the Supplementary material (including the R-scripts) of the following article. Please cite the article when using the data.</p> <p>Sinnemäki, Kaius and Haakana, Viljami. 2023. Head and dependent marking and dependency length in possessive noun phrases: a typological study of morphological and syntactic complexity. <em>Linguistics Vanguard</em> 9(s1). 45-57. <a href="https://doi.org/10.1515/lingvan-2021-0074">https://doi.org/10.1515/lingvan-2021-0074</a></p>
Remotely sensed geoarchaeological marks in the hinterland of Ravenna
<p>GeoPackage database with 994 fluvial and anthropogenic traces mapped in the hinterland of Ravenna through historical imagery, satellite images and drone photos, together with related metadata.</p> <p> </p> <p>Sources of aerial and satellite images analysed include:</p> <ul> <li>Istituto Geografico Militare Italiano (IGMI), Volo GAI (Gruppo Aeronautico Italiano) aerial photos are available at https://servizimoka.regione.emilia-romagna.it/mokaApp/apps/VIGMIGAI1954_H5/index.html (last accessed on 31 January 2025).</li> <li>Ministero dell'Ambiente e della Tutela del Territorio e del Mare (MATTM) aerial photos are available at http://www.pcn.minambiente.it/viewer/ (last accessed on 31 January 2025).</li> <li>Agenzia per le Erogazioni in Agricoltura (AGEA) aerial photos are available at https://servizimoka.regione.emilia-romagna.it/mokaApp/apps/CORERH5/index.html (last accessed on 31 January 2025).</li> <li>Google Earth satellite images, accessed through Google Earth Pro for desktop, which can be downloaded from https://www.google.it/earth/versions/ (last accessed on 31 January 2025).</li> <li>Microsoft Bing satellite images are available at https://www.bing.com/maps/aerial (last accessed on 31 January 2025). Historical imagery has been accessed through a third-party website freely available at https://zoom.earth/, but this service has been discontinued (last accessed on 31 January 2025).</li> <li>Esri World Imagery satellite images are available at https://livingatlas.arcgis.com/wayback/ (last accessed on 31 January 2025).</li> <li>Consorzio Telerilevamento Agricoltura (TeA) are available at https://servizimoka.regione.emilia-romagna.it/mokaApp/apps/CORERH5/index.html (last accessed on 31 January 2025).</li> <li>Compagnia Generale Riprese Aeree (CGR) are available at https://servizimoka.regione.emilia-romagna.it/mokaApp/apps/CORERH5/index.html (last accessed on 31 January 2025).</li> <li>PlanetScope satellite images were made available through Planet Education and Research Program: more information is available at https://www.planet.com/industries/education-and-research/ (last accessed on 31 January 2025).</li> </ul>
Plethodon hybrid zone capture-mark-recapture survey plots at the Coweeta Hyrdologic Laboratory, Otto, NC.
A major goal of the Coweeta LTER is to understand the interactions between climate and land use on the ecology of southern Appalachia biota. Southern Appalachia is the global hotspot for salamander diversity, with most of that diversity situated at mid and upper elevations of mountains where species are functionally trapped by their dependence of a narrow, cool climatic zone. The ranges of the two terrestrial salamander species, Plethodon teyahalee (southern Appalachian salamander) and Plethodon shermani (red-legged salamander) meet at a unique hybrid zone at the Coweeta LTER in Macon County, NC. The hybrid zone is unique because it appears to be shifting up in elevation, possibly due to climate change. This research will be situated in the hybrid zone of these two species to assess the differential effects of climate change and land use on both species. To evaluate the effects of climate on the local ecology of salamanders, we will conduct an intensive mark-recapture study to measure surface activity on 6 plots distributed in pairs at 3 elevations that provide a range of warmer to cooler climates. Every two weeks, each plot is searched for 30 min by two investigators using head lamps. Animals are hand captured, identified to species, scored for color and patterning, measured, and marked using a unique combination of visible implant elastomers (VIE). This will enable us to estimate individual capture probabilities and rates of temporary surface emigration (an indication of avoidance of climatically unsuitable conditions).
Telemetry mark-recapture data of the Northern Spring Salamander (Gyrinophilus porphyriticus), Hubbard Brook Experimental Forest, 2019 – 2021
This data set includes spatially explicit mark-recapture data of the Northern Spring Salamander (Gyrinophilus porphyriticus) collected via telemetry during the summer months (June – September) from 2019 - 2021 from eight reaches in multiple streams in the Hubbard Brook Experimental Forest. Salamanders were captured by hand and marked with PIT-tags. Telemetry surveys occurred weekly. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station. These data are being used to publish the following papers: Cochrane, M. M., B. R. Addis, L. K. Swartz, and W. H. Lowe. 2023. Individual and population growth rates decline with watershed area in a stream salamander. In review Ecology. Cochrane, M. M., and W. H. Lowe. 2023. Floods increase downstream movement of adult and larval life stages of a headwater stream salamander. In prep Freshwater Biology.
Anole Mark and Resight Study
The population distribution research area of the LEF LTER is designed to gather information on the distribution and abundance of key plant and animal species within the forest under different disturbance regimes. Multiple mark and resight studies were conducted to determine the population density of Anolis stratulus at one undisturbed forest site and one site in a partially regenerated treefall gap. Tower surveys were conducted in order to access individuals in the forest canopy.</p> Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
FIGURE 4 in Bite marks attributable to Tyrannosaurus rex: preliminary description and implications
FIGURE 4. Edmontosaurus proximal pedal phalanx (UCMP 140601) bearing tyrannosaur-like "puncture and pull" bite mark furrows. The specimen bears five such bite marks (three are visible). The furrows are deeper proximally suggesting the element was somewhat articulated at the time of feeding. Scale = 2.5 cm.
FIGURE 1 in Bite marks attributable to Tyrannosaurus rex: preliminary description and implications
FIGURE 1. Photographs of Tyrannosaurus rex bite marks on an adult Triceratops pelvis (MOR 799). Anterolateral view of the ventral surface of the sacrum and left ilium of the specimen. Arrows point to some of the more prominent tooth marks (over 58 definitive tooth marks are present on the pelvis). Furrows from "puncture and pull" biting and deep localized punctures are visible. Brackets encompass a region where the theropod(s) removed approximately one sixth of the anterior ilium via repetitive peripheral biting. Scale = 25 cm.
- Fore wing with areolet open (a); body and wings colorations variable but usually wings hyaline and body yellow interspersed with black markings (b) …………………………………2 (Epirhyssa) 2. Face smooth to sparsely punctate (A-B), without transverse rugosities ……………………………3 - Face transversely rugulose punctate or transversely striate (a-b) ……………………………………5 in A review of the Afrotropical Rhyssinae (Hymenoptera: Ichneumonidae) with the descriptions of five new species
- Fore wing with areolet open (a); body and wings colorations variable but usually wings hyaline and body yellow interspersed with black markings (b) …………………………………2 (Epirhyssa) 2. Face smooth to sparsely punctate (A-B), without transverse rugosities ……………………………3 - Face transversely rugulose punctate or transversely striate (a-b) ……………………………………5
Mogha resevoir (मोघा जलाशय, near देवरी, उदयपुरा तहसील, रायसेन ज़िला, Madhya Pradesh). Bhairava ghat, slab with cup marks.
<p>Mogha resevoir (मोघा जलाशय, near देवरी, उदयपुरा तहसील, रायसेन ज़िला, Madhya Pradesh). Bhairava ghat, slab with cup marks.</p>
Udayagiri, Madhya Pradesh. Markings on the platform, central ridge.
<p>Udayagiri, Madhya Pradesh. Markings on the platform, central ridge, possibly part of a sundial.</p>
- Sternite 1 without a pair of submedian tubercles, tubercles present on sternites 2–4 only (a); general coloration pale to striking yellow with isolated black markings (b) …………………………………7 7. Apex of subtegular ridge concave, laterally flanged (A) ……………………………………………8 - Apex of subtegular ridge convex, without lateral flange (a) ……………………………………9 in A review of the Afrotropical Rhyssinae (Hymenoptera: Ichneumonidae) with the descriptions of five new species
- Sternite 1 without a pair of submedian tubercles, tubercles present on sternites 2–4 only (a); general coloration pale to striking yellow with isolated black markings (b) …………………………………7 7. Apex of subtegular ridge concave, laterally flanged (A) ……………………………………………8 - Apex of subtegular ridge convex, without lateral flange (a) ……………………………………9
Mark loss can strongly bias estimates of demographic rates in multi-state models: a case study with simulated and empirical datasets
<p>This archive contains the empirical data analysed in the paper 'Mark loss can strongly bias estimates of demographic rates in multi-state models: a case study with simulated and empirical datasets' by Touzalin et al. (https://doi.org/10.24072/pci.ecology.100416). The dataset is provided as a .Rdata file ('TLoss_GMdata.Rdata'), and full description of the content is provided in the file 'Readme_TLdata.csv'. All additional details are available in the main text (https://doi.org/10.24072/pci.ecology.100416) or in the supporting information (https://doi.org/10.5281/zenodo.10204538).</p>
Fig. 3 in Late Miocene Turtles Of Grytsiv (Western Ukraine) With Rodent Gnaw Marks On The Carapace Surface
Fig. 3. The nuchal plate of Testudo chernovi NMNHU-P AR 407 from Grytsiv with gnaw marks (A); B–C — Machichnus inrosus isp. n., enlarged affected area (B) and a set of individual striae (C); D — combined SEM image of the mandible of Anomalomys grytsivensis Nesin & Kovalchuk, 2021 (NMNHU-P 22/2703) showing the labial surface of the lower incisor with longitudinal ridges.
Fig. 1 in Late Miocene Turtles Of Grytsiv (Western Ukraine) With Rodent Gnaw Marks On The Carapace Surface
Fig. 1. Location of Grytsiv on the map of Ukraine (A), and geological proFIle of the locality (B), after Vasilyan et al. (2013) and Nesin & Kovalchuk (2021).
Fig. 2 in Late Miocene Turtles Of Grytsiv (Western Ukraine) With Rodent Gnaw Marks On The Carapace Surface
Fig. 2. Turtle remains from the late Miocene of Grytsiv: A–B — Emys sp., xiphiplastron NMNHU-P AR402/4 (A), marginal scute NMNHU-P AR 402/1 (B); C–E — Melanochelys cf. M. moldavica Chkhikvadze, 1983, costal plate NMNHU-P AR 403 (C), right xiphiplastron NMNHU-P AR 405 (D–E); F, I — Trionychidae indet., shell fragments NMNHU-P AR 401/1 (F), AR 401/2 (I); G–H — Testudo chernovi Khosatzky, 1948, nuchal NMNHU-P AR 406 (G), type specimen after Khosatzky (1948 a: FIg. 1), modiFIed (not to scale). Scale bars equal 5 mm in A–C, F–G and I, 10 mm in D and E.
KSPU Moodle activities and marks 2020-2022
<p>Kryvyi Rih State Pedagogical University (KDPU/KSPU) data were collected. The collection and digitization of student performance data across all university specialities for the 2020-2021 (winter and summer sessions) and 2021-2022 (winter session) academic years were approved by the KSPU rector's decision and the university's ethical committee on January 26, 2024.</p> <p>The Course module instances report plugin was used to export a spreadsheet with the course data:</p> <ul> <li><em>Course name</em> - the original course title from the KSPU Moodle site (https://moodle.kdpu.edu.ua);</li> <li><em>Course ID</em> - unique number (3..10062) identified the course; it can be useful for courses with identical titles;</li> <li><em>Root category</em> - the course root category used in KSPU. Each category has been encoded with a unique number as follows: <br>1. Природничий факультет <br>2. Психолого-педагогічний факультет<br>3. Факультет географії, туризму та історії<br>4. Факультет педагогічної освіти<br>5. Факультет іноземних мов<br>6. Факультет мистецтв<br>7. Факультет української філології<br>8. Фізико-математичний факультет<br>9. Загальноуніверситетські кафедри та відділи</li> <li><em>Category</em> - additional course category further ignored;</li> <li><em>Module types</em>: H5P, HotPot, SCORM, URL, Survey, Database, Choice, Visiting, Wiki, Glossary, Assignments, Feedback, LTI External tool activity, Book, Label, Workshop, Page, Folder, Quiz, Lesson, File, Forum, Chat;</li> <li><em>Instances</em> - the number of module instances used in the course.</li> </ul> <p>The total number of records received on April 07, 2024, was 25595. After receiving the list of all courses, courses with a non-educational purpose (surveys, service, etc.) and courses taught in graduate school were removed from the general list. The total number of records after removal is 17985.</p> <p>The new spreadsheet was built based on the exported, non-removed data. It contains 3600 courses. The information block was also added (the data were extracted manually from the course annotations in Moodle), including the form of education, educational level, semester, status, and number of teachers.</p> <p>After that, the relevant courses with student grades were filled in. After this process was completed, the number of courses was reduced to 985, as new courses not taught from 2020 to 2022 were excluded. Data fields:</p> <table> <tbody> <tr> <td><strong>Field</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>Course ID</td> <td>a unique number (3..10062) identified the course</td> </tr> <tr> <td>Сategory</td> <td>the course root category identifier (1..9)</td> </tr> <tr> <td>Form of education</td> <td>1 - course for fulltime education only, 2 - course for part-time education only, 3 - course for both full-time and part-time education</td> </tr> <tr> <td>Semester</td> <td>semester in which the course is ended (1..8)</td> </tr> <tr> <td>Status</td> <td>1 - normative course, 2 - optional course</td> </tr> <tr> <td>Educational level</td> <td>1 - undergraduate level (course for bachelor students), 2 - graduate level (course for master students)</td> </tr> <tr> <td>Number of teachers</td> <td>Number of teacher staff related to the course (1..9)</td> </tr> <tr> <td>H5P</td> <td>Number of H5P activity instances used in the course (0..3)</td> </tr> <tr> <td>HotPot</td> <td>Number of HotPot activity instances used in the course (0..3)</td> </tr> <tr> <td>SCORM</td> <td>Number of SCORM activity instances used in the course (0..15)</td> </tr> <tr> <td>URL</td> <td>Number of URL resource instances used in the course (0..83)</td> </tr> <tr> <td>Survey</td> <td>Number of Survey activity instances used in the course (0..1)</td> </tr> <tr> <td>Database</td> <td>Number of Database activity instances used in the course (0..9)</td> </tr> <tr> <td>Choice</td> <td>Number of Choice activity instances used in the course (0..1)</td> </tr> <tr> <td>Visiting</td> <td>Number of Visiting activity instances used in the course (0..3)</td> </tr> <tr> <td>Wiki</td> <td>Number of Wiki activity instances used in the course (0..11)</td> </tr> <tr> <td>Glossary</td> <td>Number of Glossary activity instances used in the course (0..5)</td> </tr> <tr> <td>Assignments</td> <td>Number of Assignments activity instances used in the course (0..142)</td> </tr> <tr> <td>Feedback</td> <td>Number of Feedback activity instances used in the course (0..2)</td> </tr> <tr> <td>LTI External tool activity</td> <td>Number of LTI External tool activity instances used in the course (0..1)</td> </tr> <tr> <td>Book</td> <td>Number of Book resource instances used in the course (0..20)</td> </tr> <tr> <td>Label</td> <td>Number of Label resource instances used in the course (0..117)</td> </tr> <tr> <td>Workshop</td> <td>Number of Workshop activity instances used in the course (0..25)</td> </tr> <tr> <td>Page</td> <td>Number of Page resource instances used in the course (0..53)</td> </tr> <tr> <td>Folder</td> <td>Number of Folder resource instances used in the course (0..22)</td> </tr> <tr> <td>Quiz</td> <td>Number of Quiz activity instances used in the course (0..93)</td> </tr> <tr> <td>Lesson</td> <td>Number of Lesson activity instances used in the course (0..17)</td> </tr> <tr> <td>File</td> <td>Number of File resource instances used in the course (0..54)</td> </tr> <tr> <td>Forum</td> <td>Number of Forum communication activity instances used in the course (0..13)</td> </tr> <tr> <td>Chat</td> <td>Number of Chat communication activity instances used in the course (0..1)</td> </tr> <tr> <td>A</td> <td>Number of A marks among the course final grades</td> </tr> <tr> <td>A%</td> <td>Percent of A marks among the course final grades</td> </tr> <tr> <td>B</td> <td>Number of B marks among the course final grades</td> </tr> <tr> <td>B%</td> <td>Percent of B marks among the course final grades</td> </tr> <tr> <td>C</td> <td>Number of C marks among the course final grades</td> </tr> <tr> <td>C%</td> <td>Percent of C marks among the course final grades</td> </tr> <tr> <td>D</td> <td>Number of D marks among the course final grades</td> </tr> <tr> <td>D%</td> <td>Percent of D marks among the course final grades</td> </tr> <tr> <td>E</td> <td>Number of E marks among the course final grades</td> </tr> <tr> <td>E%</td> <td>Percent of E marks among the course final grades</td> </tr> <tr> <td>F</td> <td>Number of Fx and F marks among the course final grades</td> </tr> <tr> <td>F%</td> <td>Percent of Fx and F marks among the course final grades</td> </tr> </tbody> </table> <p> </p>
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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.