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357 results for “MARY”
Water stable isotopes for streams samples in Mary's River Watershed, 2014-2015
Water samples were collected for analysis of water stable isotopes (O18/16 and H2/H1) in the Marys River basin of Benton County, Oregon. Water samples collected approximately monthly between 2014 and 2015 at 24 streams.
Pre-processed (in Detectron2 and YOLO format) planetary images and boulder labels collected during the BOULDERING Marie Skłodowska-Curie Global fellowship
<p>This database contains 4976 planetary images of boulder fields located on Earth, Mars and Moon. The data was collected during the BOULDERING Marie Skłodowska-Curie Global fellowship between October 2021 and 2024. The data was already splitted into train, validation and test datasets, but feel free to re-organize the labels at your convenience. </p> <p>For each image, all of the boulder outlines within the image were carefully mapped in QGIS. More information about the labelling procedure can be found in the following manuscript (<a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023JE008013">https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023JE008013</a>). This dataset differs from the previous dataset included along with the manuscript <a href="https://zenodo.org/records/8171052">https://zenodo.org/records/8171052</a>, as it contains more mapped images, especially of boulder populations around young impact structures on the Moon (cold spots). In addition, the boulder outlines were also pre-processed so that it can be ingested directly in YOLOv8.</p> <p>A description of what is what is given in the README.txt file (in addition in how to load the custom datasets in Detectron2 and YOLO). Most of the other files are mostly self-explanatory. Please see previous dataset or manuscript for more information. If you want to have more information about specific lunar and martian planetary images, the IDs of the images are still available in the name of the file. Use this ID to find more information (e.g., M121118602_00875_image.png, ID M121118602 ca be used on https://pilot.wr.usgs.gov/). I will also upload the raw data from which this pre-processed dataset was generated (see <a href="https://zenodo.org/records/14250970">https://zenodo.org/records/14250970</a>).</p> <p>Thanks to this database, you can easily train a Detectron2 Mask R-CNN or YOLO instance segmentation models to automatically detect boulders. </p> <p><strong>How to cite:</strong></p> <p>Please refer to the "how to cite" section of the readme file of <a href="https://github.com/astroNils/YOLOv8-BeyondEarth" target="_blank" rel="noopener">https://github.com/astroNils/YOLOv8-BeyondEarth.</a></p> <p><strong>Structure:</strong></p> <pre><code>. └── boulder2024/ ├── jupyter-notebooks/ │ └── REGISTERING_BOULDER_DATASET_IN_DETECTRON2.ipynb ├── test/ │ └── images/ │ ├── <image_name>_image.png │ ├── ... │ └── labels/ │ ├── <image_name>_image.txt │ ├── ... ├── train/ │ └── images/ │ ├── <image_name>_image.png │ ├── ... │ └── labels/ │ ├── <image_name>_image.txt │ ├── ... ├── validation/ │ └── images/ │ ├── <image_name>_image.png │ ├── ... │ └── labels/ │ ├── <image_name>_image.txt │ ├── ... ├── detectron2_inst_seg_boulder_dataset.json ├── README.txt ├── yolo_inst_seg_boulder_dataset.yaml</code></pre> <p> </p> <pre><code>detectron2_inst_seg_boulder_dataset.json</code></pre> <p>is a json file containing the masks as expected by Detectron2 (see <a href="https://detectron2.readthedocs.io/en/latest/tutorials/datasets.html">https://detectron2.readthedocs.io/en/latest/tutorials/datasets.html</a> for more information on the format). In order to use this custom dataset, you need to register the dataset before using it in the training. There is an example how to do that in the jupyter-notebooks folder. You need to have detectron2, and all of its depedencies installed. </p> <pre><code>yolo_inst_seg_boulder_dataset.yaml</code></pre> <p>can be used as it is, however you need to update the paths in the .yaml file, to the test, train and validation folders. More information about the YOLO format can be found here (<a href="https://docs.ultralytics.com/datasets/segment/">https://docs.ultralytics.com/datasets/segment/</a>).</p>
Princeton Ethiopian, Eritrean, and Egyptian Miracles of Mary (PEMM) Project
<p>The Princeton Ethiopian, Eritrean, and Egyptian Miracles of Mary digital humanities project (PEMM) is a comprehensive resource for the miracle stories about the Virgin Mary in Ethiopia, Eritrea, and Egypt, and preserved in Gəˁəz parchment manuscripts between 1300 and the present. Directed by Prof. Wendy Laura Belcher and then managed by Evgeniia Lambrinaki, PEMM was launched in March 2018, using as its base the miracle story identifications William F. Macomber made in the 1980s.</p> <p><strong>Dataset</strong>. PEMM 2.0 includes the data collected by the project in Google Sheets from its inception to July 4, 2023. This date marked the end of our use of Google Sheets as our database and the end of Jeremy Brown's full-time involvement with the project (when he moved to be the cataloger of Ethiopic manuscripts at HMML). This data includes 1,002 identified stories (or 940 separate stories) (called Canonical Stories); 549 stories translated into English (288 stories translated by PEMM team; 223 stories translated and published by others) and another 200 stories summarized; 676 fully cataloged manuscripts (with another 334 identified, but awaiting digitization) (in Gəˁəz and a few in Arabic) (called Manuscripts); 51,690 stories documented in those manuscripts (called Story Instances); 21,403 typed Gəˁəz incipits (unique first lines) for those stories; and 2,547 paintings with 4,205 scenes in 262 manuscripts (called Paintings). The manuscripts come from 92 repositories and libraries around the world (called Collections) and the stories were composed in Ethiopia, Eritrea, and Egypt (and probably Nubia, although not confirmed), as well as Europe and the Levant (called Story Origins).</p> <p><strong>Database</strong>. The PEMM Project began by using Google Sheets as a lightweight relational database. To learn about this innovative digital humanities approach by Princeton’s CDH’s, read the “Is a Spreadsheet a Database?” (February 21, 2021) article by PEMM lead developer, Rebecca Sutton Koeser. Due to our extremely large dataset (7 Google sheets in one workbook, each with at least 40 columns, and one with 50,000 rows, with dozens of complex formulas linking the fields in the various sheets), Google Sheets would repeatedly hang up. So, in July we migrated all our data to an Aurora PostgreSQL database, accessing it with a content management system called Directus. However, this Zenodo dataset represents the data as it last appeared in Google Sheets.</p> <p><strong>Website</strong>. The current PEMM website (not yet its web application and data portal) is at https://pemm.princeton.edu. We will launch the full web application and data portal in mid-fall 2023.</p> <p><strong>Team</strong>. PEMM was created in collaboration with Princeton’s Center for Digital Humanities (mainly with Rebecca Sutton Koesser, Jean Bauer, and Nicholas Budak, but with additional support from Gissoo Doroudian, Rebecca Munson [of beloved memory], and Kevin McElwee); directed by Prof. Wendy Laura Belcher; managed primarily by Evgeniia Lambrinaki into mid-2022 and then by Blaine Kebede; contributed to by catalogers Jeremy Brown, Mehari Worku, Dawit Muluneh, Solomon Gebreyes, Vitagrazia Pisani, Ekaterina Pukhovaia, and Steve Delamarter; web programmed by Henok Alem, who was assisted by Pak Hei Li, Ayomikun M. Gbadamosi, and Marew Masresha; edited by Taylor Eggan, assisted by Bret Windhauser; assisted by Hanni Makonnen for geolocating; typed by volunteers (including Mihret Melaku, Tariku Abas Sherif, Beimnet Beyene Kassaye, Annabel S. Lemma, Tsega-ab Hailemichael, Chiara Lombardi, and Ellen Perleberg); and translatated and/or summarized by Princeton undergraduates (including Lauren D. Johnson, Sana Khan, Jason O. Seavey, Leia R. Walker, Nati Arbelaez Solano, Daniel Somwaru, Mika J. Hyman, Grace Matthews, Allie V. Mangel, Ellen Li, Elliot Galvis). Support at Princeton is provided by Michael Franz and Amanda M. Arcamone.</p> <p><strong>Partners</strong>. Among its board members are Elias Wondimu, Melaku Terefe, Solomon Gebreyes, Eyob Derillo, Meron Gebreananaye, Sofanit T. Abebe, Habte Michael Kidane, Hagos Abrha, Mussie Berhe, Woldesemait Teklehaymanot, and Alessandro Bausi. Among PEMM’s institutional partners are Beta Maṣāḥǝft: Manuscripts of Ethiopia and Eritrea at the Hiob Ludolf Centre for Ethiopian Studies of the Universität Hamburg, created and directed by Principal Investigator Alessandro Bausi; Hill Museum & Manuscript Library, led by Father Columba Stewart; and the British Library, Asian and African Collections, with Eyob Derillo as cataloger.</p> <p><strong>Internal Funding</strong>. PEMM’s first and second phase were made possible by the Princeton Center for Digital Humanities, directed by Meredith Martin, and its team of Natalia Ermolaev, Rebecca Sutton Koeser, Gissoo Doroudian, Rebecca Munson (of beloved memory), Nick Budak, and Kevin McElwee. The second phase was supported by a CDH Research Partnership grant. The third phase was funded by the Princeton Humanities Council, executive directed by Kathleen Crown, through the David A. Gardner Innovation Grants for New Projects in the Humanities, and the University Committee on Research in the Humanities and Social Sciences. Other important funders throughout were the Princeton Department of African American Studies, directed by the Eddie S. Glaude, as well as the Program in Gender and Sexuality Studies (directed by Wallace Best), the Program in African Studies (directed by Emmanuel Kreike and now Chika Okeke-Agulu), the Center for the Study of Religion (directed by Jonathan Gold), and the Department of Comparative Literature (directed by Thomas Hare).</p> <p><strong>External funding</strong>. PEMM’s fourth phase was made possible by two major grants from the National Endowment for the Humanities, awarded for work from fall 2021 through summer 2024. In the 1970s, NEH provided funding for the Ethiopian Manuscript Microfilm Library (EMML), which microfilmed thousands of manuscripts in Ethiopia, which serve as the backbone for the PEMM project. Today, the NEH Scholarly Editions and Scholarly Translations Grant funds the team of experienced researchers with rare language skills to catalog stories in parchment manuscripts, translate stories into English, and write short introductions to them. The NEH Digital Humanities Advancement Grant funds a public-facing open-access web application and data portal to share the stories in, images about, translations of, and scholarship on this crucial body of medieval African literature and to build upon our innovative prototype tool for searching in Gəˁəz.</p>
National Park Service - South Florida/Caribbean Inventory & Monitoring Network - Mary's Point SET Surface Water level data from Virgin Islands National Park, St. John, US Virgin Islands
Surface water level data (m) was collected in Virgin Islands National Park, Mary's Point (MARY) by the South Florida/Caribbean Inventory and Monitoring Network (SFCN) as part of the Soil Elevation Table (SET) vital sign monitoring program. Water level data collected from 2017 to 2024 is included in this dataset. The water level data was collected using HOBOware Onset Water Level Data Loggers. This data-package is complete.
Raw planetary images and boulder labels data (as shapefiles) collected during the BOULDERING Marie Skłodowska-Curie Global fellowship
<p>This database contains 64 large images of craters on the lunar and martian surfaces and 3 images of boulder fields on Earth (see manuscript <a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023JE008013">https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023JE008013</a> for more information on those terrestrial locations). The data was collected during the BOULDERING Marie Skłodowska-Curie Global fellowship between October 2021 and 2024.</p> <p>For each image, the boulder outlines within specific tiles within the image were carefully mapped in QGIS. More information about the labelling procedure can be found in the following manuscript (<a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023JE008013">https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023JE008013</a>). This dataset differs from the previous dataset included along with the manuscript <a href="https://zenodo.org/records/8171052">https://zenodo.org/records/8171052</a>, as it contains more mapped images, especially of boulder populations around young impact structures on the Moon (cold spots). </p> <p>For each location, you will find a raster with a .tif format, and three shapefiles:</p> <ul> <li> <p>a boulder-mapping file, which is the manually digitized outline of boulders.</p> </li> <li> <p>a tiles-completely-mapped file, which depicts the patches/tiles/windows on which the boulder mapping has been conducted.</p> </li> <li> <p>a global-tiles file, which shows all of the image patches/tiles/windows (pick the term you are the most familiar with) within a raster.</p> </li> </ul> <p>In addition you will find .pkl (which stands for pickle), which contains some information about the patches/tiles/windows if you would need to clip those windows out from the original raster. You can find more information in the way we process this raw data into a format which can be ingested in a deep learning model (see <a href="https://zenodo.org/records/14250874" target="_blank" rel="noopener">https://zenodo.org/records/14250874</a>) in the two following github repositories (<a href="https://github.com/astroNils/YOLOv8-BeyondEarth" target="_blank" rel="noopener">https://github.com/astroNils/YOLOv8-BeyondEarth</a> and <a href="https://github.com/astroNils/MLtools/tree/main" target="_blank" rel="noopener">https://github.com/astroNils/MLtools</a>). If you don't plan in adding more training data, you can directly used the pre-processed database (see <a href="https://zenodo.org/records/14250874" target="_blank" rel="noopener">https://zenodo.org/records/14250874</a>).</p> <p>There are multiple locations/images per planetary body. Cold spots are located on the Moon, but they are saved in a folder of their own. </p> <p>Note that the cold spots boulder mapping shapefiles are partially manually mapped, and partially originating from predictions made from a deep learning model (which explains the outline of boulders are predicted within one pixel).</p> <p><strong>How to cite:</strong></p> <p>Please refer to the "how to cite" section of the readme file of <a href="https://github.com/astroNils/YOLOv8-BeyondEarth" target="_blank" rel="noopener">https://github.com/astroNils/YOLOv8-BeyondEarth.</a></p> <p><strong>Structure:</strong></p> <pre><code>. └── raw_data/ ├── coldspots/ │ └── image_name/ │ ├── shp/ │ │ ├── <image_name>-tiles-completely-mapped.shp │ │ ├── <image_name>-boulder-mapping.shp │ │ └── <image_name>-global-tiles.shp │ └── raster/ │ └── <image_name>.tif ├── earth/ │ └── image_name/ │ ├── shp/ │ │ ├── <image_name>-tiles-completely-mapped.shp │ │ ├── <image_name>-boulder-mapping.shp │ │ └── <image_name>-global-tiles.shp │ └── raster/ │ └── <image_name>.tif ├── mars/ │ └── image_name/ │ ├── shp/ │ │ ├── <image_name>-tiles-completely-mapped.shp │ │ ├── <image_name>-boulder-mapping.shp │ │ └── <image_name>-global-tiles.shp │ └── raster/ │ └── <image_name>.tif └── moon/ └── image_name/ ├── shp/ │ │ ├── <image_name>-tiles-completely-mapped.shp │ │ ├── <image_name>-boulder-mapping.shp │ │ └── <image_name>-global-tiles.shp └── raster/ └── <image_name>.tif</code></pre>
Raw multibeam bathymetry data collected around Siple Island in Marie Byrd Land, Antarctica on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).
<p><strong>Dataset abstract</strong></p> <p>An ELAC Nautik 3020 multibeam echo sounder with a 20 kHz transducer mounted on the hull of the R/V Akademik Tryoshnikov, was used to collect multibeam bathymetry data during the Antarctic Circumnavigation Expedition (ACE). This particular dataset was collected Siple Island in Marie Byrd Land, Antarctica in the austral summer of 2016/2017.</p> <p>Bathymetry data were used live during the cruise to look for suitable locations where benthic trawling and remotely-operated vehicle deployments could take place, rather than to undertake specific bathymetric surveys.</p> <p>This raw dataset is provided without calibration information for the surface sound velocity or instrumentation itself and should be used with due caution.</p> <p><strong>Dataset contents</strong></p> <ul> <li>lineYYYYDDmonHHMMSS.xse, data file, proprietary format</li> <li>lineYYYYDDmonHHMMSS.ssv, data file, ASCII</li> <li>location.hydrostar, ancillary file, ASCII</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> <p><strong>Dataset license</strong></p> <p>This raw multibeam bathymetry dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
PM_120025_B_Louise_Marie
<u>File Name</u>: PM_120025_B_Louise_Marie.jpg <br><u>Sublocation</u>: Louise-Marie, Onze-Lieve-Vrouw van la Salette <br><u>Location</u>: Maarkedal <br><u>Province</u>: Oost-Vlaanderen <br><u>Country</u>: Belgium <br><u>Header</u>: biechtstoel, neoclassicistisch, midden 19de eeuw, detail, medaillon met afbeelding van Petrus <br><u>Description</u>: Parish church (Parochiekerk Onze-Lieve-Vrouw van La Salette Louise-Marie) Interior Confessional Neoclassicism Mid 19th century Detail Madaillon with Saint Peter <br><u>Keywords</u>: Belgium, Classicism, Cultural heritage, Europe, Louise-Marie (Etikhove-Maarkedal), Maarkedal, Neoclassicism, Oost-Vlaanderen, Sculpture, Styles, Techniques, Vlaamse Ardennen, Vlaanderen streken <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_120028_B_Louise_Marie
<u>File Name</u>: PM_120028_B_Louise_Marie.jpg <br><u>Sublocation</u>: Louise-Marie, Onze-Lieve-Vrouw van la Salette <br><u>Location</u>: Maarkedal <br><u>Province</u>: Oost-Vlaanderen <br><u>Country</u>: Belgium <br><u>Header</u>: schilderij <br><u>Description</u>: Parish church (Parochiekerk Onze-Lieve-Vrouw van La Salette Louise-Marie) Interior Painting <br><u>Keywords</u>: Belgium, Cultural heritage, Europe, Louise-Marie (Etikhove-Maarkedal), Maarkedal, Museum/private collection, Oost-Vlaanderen, Vlaamse Ardennen, Vlaanderen streken <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_120018_B_Louise_Marie
<u>File Name</u>: PM_120018_B_Louise_Marie.jpg <br><u>Sublocation</u>: Louise-Marie, Onze-Lieve-Vrouw van la Salette <br><u>Location</u>: Maarkedal <br><u>Province</u>: Oost-Vlaanderen <br><u>Country</u>: Belgium <br><u>Header</u>: noordelijk zijaltaar toegewijd aan Onze-Lieve-Vrouw van la Salette, 17e-18e eeuw <br><u>Description</u>: Parish church (Parochiekerk Onze-Lieve-Vrouw van La Salette Louise-Marie) Interior North bay The altar Neoclassicism 17th-18th century <br><u>Keywords</u>: Belgium, Classicism, Cultural heritage, Europe, Louise-Marie (Etikhove-Maarkedal), Maarkedal, Neoclassicism, Oost-Vlaanderen, Styles, Vlaamse Ardennen, Vlaanderen streken <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_120005_B_Louise_Marie
<u>File Name</u>: PM_120005_B_Louise_Marie.jpg <br><u>Sublocation</u>: Louise-Marie, Onze-Lieve-Vrouw van la Salette <br><u>Location</u>: Maarkedal <br><u>Province</u>: Oost-Vlaanderen <br><u>Country</u>: Belgium <br><u>Header</u>: zuidelijk zijaltaar <br><u>Description</u>: Parish church (Parochiekerk Onze-Lieve-Vrouw van La Salette Louise-Marie) Interior South bay The altar <br><u>Keywords</u>: Belgium, Classicism, Cultural heritage, Europe, Louise-Marie (Etikhove-Maarkedal), Maarkedal, Neoclassicism, Oost-Vlaanderen, Styles, Vlaamse Ardennen, Vlaanderen streken <br><br><u>Author</u>: Architect Louis Minard (?)(1801-1875) <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_120008_B_Louise_Marie
<u>File Name</u>: PM_120008_B_Louise_Marie.jpg <br><u>Sublocation</u>: Louise-Marie, Onze-Lieve-Vrouw van la Salette <br><u>Location</u>: Maarkedal <br><u>Province</u>: Oost-Vlaanderen <br><u>Country</u>: Belgium <br><u>Header</u>: zuidelijk zijaltaar <br><u>Description</u>: Parish church (Parochiekerk Onze-Lieve-Vrouw van La Salette Louise-Marie) Interior South bay The altar <br><u>Keywords</u>: Belgium, Classicism, Cultural heritage, Europe, Louise-Marie (Etikhove-Maarkedal), Maarkedal, Neoclassicism, Oost-Vlaanderen, Styles, Vlaamse Ardennen, Vlaanderen streken <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_120013_B_Louise_Marie
<u>File Name</u>: PM_120013_B_Louise_Marie.jpg <br><u>Sublocation</u>: Louise-Marie, Onze-Lieve-Vrouw van la Salette <br><u>Location</u>: Maarkedal <br><u>Province</u>: Oost-Vlaanderen <br><u>Country</u>: Belgium <br><u>Header</u>: Canonbord <br><u>Description</u>: Parish church (Parochiekerk Onze-Lieve-Vrouw van La Salette Louise-Marie) Interior <br><u>Keywords</u>: Belgium, Cultural heritage, Europe, Louise-Marie (Etikhove-Maarkedal), Maarkedal, Museum/private collection, Oost-Vlaanderen, Vlaamse Ardennen, Vlaanderen streken <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_120011_B_Louise_Marie
<u>File Name</u>: PM_120011_B_Louise_Marie.jpg <br><u>Sublocation</u>: Louise-Marie, Onze-Lieve-Vrouw van la Salette <br><u>Location</u>: Maarkedal <br><u>Province</u>: Oost-Vlaanderen <br><u>Country</u>: Belgium <br><u>Header</u>: zuidelijk zijaltaar, detail met een buste in medaillon <br><u>Description</u>: Parish church (Parochiekerk Onze-Lieve-Vrouw van La Salette Louise-Marie) Interior South bay The altar <br><u>Keywords</u>: Belgium, Classicism, Cultural heritage, Europe, Louise-Marie (Etikhove-Maarkedal), Maarkedal, Neoclassicism, Oost-Vlaanderen, Styles, Vlaamse Ardennen, Vlaanderen streken <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_120017_B_Louise_Marie
<u>File Name</u>: PM_120017_B_Louise_Marie.jpg <br><u>Sublocation</u>: Louise-Marie, Onze-Lieve-Vrouw van la Salette <br><u>Location</u>: Maarkedal <br><u>Province</u>: Oost-Vlaanderen <br><u>Country</u>: Belgium <br><u>Header</u>: noordelijk zijaltaar toegewijd aan Onze-Lieve-Vrouw van la Salette, 17e-18e eeuw, detail met het houten tabernakel <br><u>Description</u>: Parish church (Parochiekerk Onze-Lieve-Vrouw van La Salette Louise-Marie) Interior North bay The altar Neoclassicism 17th-18th century Detail with the wooden tabernacle <br><u>Keywords</u>: Belgium, Classicism, Cultural heritage, Europe, Louise-Marie (Etikhove-Maarkedal), Maarkedal, Neoclassicism, Oost-Vlaanderen, Styles, Vlaamse Ardennen, Vlaanderen streken <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_120012_B_Louise_Marie
<u>File Name</u>: PM_120012_B_Louise_Marie.jpg <br><u>Sublocation</u>: Louise-Marie, Onze-Lieve-Vrouw van la Salette <br><u>Location</u>: Maarkedal <br><u>Province</u>: Oost-Vlaanderen <br><u>Country</u>: Belgium <br><u>Header</u>: zuidelijk zijaltaar, het koperen tabernakel, art-deco <br><u>Description</u>: Parish church (Parochiekerk Onze-Lieve-Vrouw van La Salette Louise-Marie) Interior South bay The altar The tabernacle Art-deco <br><u>Keywords</u>: Art Deco, Belgium, Cultural heritage, Europe, Louise-Marie (Etikhove-Maarkedal), Maarkedal, Monuments, Oost-Vlaanderen, Styles, Vlaamse Ardennen, Vlaanderen streken <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_120024_B_Louise_Marie
<u>File Name</u>: PM_120024_B_Louise_Marie.jpg <br><u>Sublocation</u>: Louise-Marie, Onze-Lieve-Vrouw van la Salette <br><u>Location</u>: Maarkedal <br><u>Province</u>: Oost-Vlaanderen <br><u>Country</u>: Belgium <br><u>Header</u>: biechtstoel, neoclassicistisch, midden 19de eeuw <br><u>Description</u>: Parish church (Parochiekerk Onze-Lieve-Vrouw van La Salette Louise-Marie) Interior Confessional Neoclassicism Mid 19th century <br><u>Keywords</u>: Belgium, Classicism, Cultural heritage, Europe, Louise-Marie (Etikhove-Maarkedal), Maarkedal, Neoclassicism, Oost-Vlaanderen, Styles, Vlaamse Ardennen, Vlaanderen streken <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_120027_B_Louise_Marie
<u>File Name</u>: PM_120027_B_Louise_Marie.jpg <br><u>Sublocation</u>: Louise-Marie, Onze-Lieve-Vrouw van la Salette <br><u>Location</u>: Maarkedal <br><u>Province</u>: Oost-Vlaanderen <br><u>Country</u>: Belgium <br><u>Header</u>: crucifix <br><u>Description</u>: Parish church (Parochiekerk Onze-Lieve-Vrouw van La Salette Louise-Marie) Interior A crucifix <br><u>Keywords</u>: Belgium, Cultural heritage, Europe, Louise-Marie (Etikhove-Maarkedal), Maarkedal, Museum/private collection, Oost-Vlaanderen, Vlaamse Ardennen, Vlaanderen streken <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_120023_B_Louise_Marie
<u>File Name</u>: PM_120023_B_Louise_Marie.jpg <br><u>Sublocation</u>: Louise-Marie, Onze-Lieve-Vrouw van la Salette <br><u>Location</u>: Maarkedal <br><u>Province</u>: Oost-Vlaanderen <br><u>Country</u>: Belgium <br><u>Header</u>: processievaandel <br><u>Description</u>: Parish church (Parochiekerk Onze-Lieve-Vrouw van La Salette Louise-Marie) Interior Procession banner <br><u>Keywords</u>: Belgium, Cultural heritage, Europe, Louise-Marie (Etikhove-Maarkedal), Maarkedal, Museum/private collection, Oost-Vlaanderen, Techniques, Textile broidery, Vlaamse Ardennen, Vlaanderen streken <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_120032_B_Louise_Marie
<u>File Name</u>: PM_120032_B_Louise_Marie.jpg <br><u>Sublocation</u>: Louise-Marie, Onze-Lieve-Vrouw van la Salette <br><u>Location</u>: Maarkedal <br><u>Province</u>: Oost-Vlaanderen <br><u>Country</u>: Belgium <br><u>Header</u>: glasraam, gesigneerd A; Martens VITAUX D'ART RENAIX <br><u>Description</u>: Parish church (Parochiekerk Onze-Lieve-Vrouw van La Salette Louise-Marie) Interior Stained glass window A Martens <br><u>Keywords</u>: Belgium, Cultural heritage, Europe, Louise-Marie (Etikhove-Maarkedal), Maarkedal, Oost-Vlaanderen, Stained glass, Techniques, Vlaamse Ardennen, Vlaanderen streken <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_120022_B_Louise_Marie
<u>File Name</u>: PM_120022_B_Louise_Marie.jpg <br><u>Sublocation</u>: Louise-Marie, Onze-Lieve-Vrouw van la Salette <br><u>Location</u>: Maarkedal <br><u>Province</u>: Oost-Vlaanderen <br><u>Country</u>: Belgium <br><u>Header</u>: processie lantaarn <br><u>Description</u>: Parish church (Parochiekerk Onze-Lieve-Vrouw van La Salette Louise-Marie) Interior Procession lantern <br><u>Keywords</u>: Belgium, Cultural heritage, Europe, Louise-Marie (Etikhove-Maarkedal), Maarkedal, Oost-Vlaanderen, Silversmithing/metalsmith/jewellery, Techniques, Vlaamse Ardennen, Vlaanderen streken <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
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.