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150 results for “collection database”
The survey of the Marega Collection at the Vatican Library and the construction of a digital open access database (マリオ・マレガ収集資料の調査とデータベース)
<p>Paper presented on Friday 11 June 2021 at the Digital Medievalist Global Symposium <em>The past, present, and future of Digital Medieval Studies</em> for the Asia & Oceania Panel, in the session Reading Indic and Japanese scripts.</p> <p>In 2011, about 14,000 documents related to the ban of Christianity in Japan and the surveillance over the family of former Christians were found at the Vatican Library. The documents, roughly spanning from the 17th to the 19th century, were originally collected by Father Mario Marega, a Salesian missionary, who resided in the Oita Prefecture, Kyushu, Japan, since 1929. Marega then sent the documents to the Vatican Library in the 1950s, where, for various reasons, they were set aside and forgotten until their rediscovery during the Library’s renovation works in 2010. Researchers from Italy and Japan have conducted research for a decade to catalogue and publish the collection, recently also made available in a digital database. In this presentation, we will introduce the surveying method and the guiding principles of the database structure and its data model of the <a href="https://base1.nijl.ac.jp/~marega/en/">Mario Marega Archive</a>. We will also elaborate on the results achieved and the issues that the research process and the database definition presented.</p> <p>2011年にバチカン図書館で17ー19世紀の日本におけるキリスト教統制に関する文書(約14,000点)が発見された。1929年より日本の大分県に滞在したイタリアのマリオ・マレガ神父が収集し、1950年代にバチカン図書館へ送ったものである。これらを研究・公開するため、イタリア・日本の研究者が共同で調査およびデータベース構築を行っている。今回の発表では、調査の方法やデータベースの考え方などを紹介し、その成果と課題を展望する。</p> <p> </p> <p> </p> <p> </p>
Figure 2 from: Figueira R, Monteiro M, Reino L, Beja P, Mills M, Bastos-Silveira C, Ramos M, Rodrigues D, Queirós Neves I, Consciência S (2014) The collection and database of Birds of Angola hosted at IICT (Instituto de Investigação Científica Tropical), Lisboa, Portugal. ZooKeys 387: 89-99. https://doi.org/10.3897/zookeys.387.6412
Figure 2 - Number of specimens per family. The families pictured represent 80% of the number of specimens in the collection.
Figure 3 from: Figueira R, Monteiro M, Reino L, Beja P, Mills M, Bastos-Silveira C, Ramos M, Rodrigues D, Queirós Neves I, Consciência S (2014) The collection and database of Birds of Angola hosted at IICT (Instituto de Investigação Científica Tropical), Lisboa, Portugal. ZooKeys 387: 89-99. https://doi.org/10.3897/zookeys.387.6412
Figure 3 - Distribution of occurrence records with indication of number of records indicated on a half a minute grid system.
Figure 1 from: Figueira R, Monteiro M, Reino L, Beja P, Mills M, Bastos-Silveira C, Ramos M, Rodrigues D, Queirós Neves I, Consciência S (2014) The collection and database of Birds of Angola hosted at IICT (Instituto de Investigação Científica Tropical), Lisboa, Portugal. ZooKeys 387: 89-99. https://doi.org/10.3897/zookeys.387.6412
Figure 1 - Number and percentage of specimens per orders. Only the categories of orders having 20 or more specimens are labeled.
Figure 4 from: Figueira R, Monteiro M, Reino L, Beja P, Mills M, Bastos-Silveira C, Ramos M, Rodrigues D, Queirós Neves I, Consciência S (2014) The collection and database of Birds of Angola hosted at IICT (Instituto de Investigação Científica Tropical), Lisboa, Portugal. ZooKeys 387: 89-99. https://doi.org/10.3897/zookeys.387.6412
Figure 4 - Temporal profile of the specimens in the collection. The time range for each order is represented by the horizontal bars.
Figure 3 from: Ball-Damerow JE, Oboyski PT, Resh VH (2015) California dragonfly and damselfly (Odonata) database: temporal and spatial distribution of species records collected over the past century. ZooKeys 482: 67-89. https://doi.org/10.3897/zookeys.482.8453
Figure 3 - Relationship between species richness and total number of records by county, where each point represents a California county.
Figure 5 from: Ball-Damerow JE, Oboyski PT, Resh VH (2015) California dragonfly and damselfly (Odonata) database: temporal and spatial distribution of species records collected over the past century. ZooKeys 482: 67-89. https://doi.org/10.3897/zookeys.482.8453
Figure 5 - Number of unique county records for each collection type (Calbug collaborating institutions, non-Calbug institutions, observations - Cal Odes and Odonata Central, and private collections), and number of unique county records with two, three, and four shared data types.
Bibliographic collection: agriculture-related LCA research from Scopus database (October, 3, 2023).
<p>Bibliographic collection. Database: Scopus. Search query: The search query: TITLE-ABS-KEY (<em>agr*</em> W/3 (<em>"life cycle analysis"</em> OR <em>"life cycle assessment"</em> OR <em>"life cycle cost*"</em> OR <em>"life cycle impact"</em> OR <em>*lca</em> OR <em>*lcia</em> OR <em>lcc</em>)). Filtering: Only English, article, excl trade journals. Contains 259 articles (adjusted after screening the relevance of titles, abstracts, keywords for the research purposes).</p>
Drivers Drowsiness Database: A collection of physiological signals during the use of a driving simulator (DD-Database)
<p>The DD-Database contains the physiological signals of 4 EEG channels, 2 EOG channels and 1 ECG channel as well as annotation files corresponding to 10 healthy volunteers between 20 and 50 years old. The signals were collected during the use of a driving simulator under a protocol designed to induce drowsiness. The annotation files have the time marks of subject´s drowsiness events. The experiment was carried out in 2 trials of 2 hours each, so the database contains 40 hours of information. This database is a contribution for the development and evaluation of algorithms and/or systems for detecting drowsiness in drivers. Data acquired during the use of a driving simulator and publicly available, are scarce.</p>
Drivers Drowsiness Database: A collection of physiological signals during the use of a driving simulator (DD-Database)
Open the record for dataset details and reuse information.
Collection of databases for reproducible metaviromis analyses
<ul> <li>Inphared</li> <li>Kraken2/minikraken</li> <li>Phigaro</li> <li>PhiX</li> <li>Vibrant</li> <li>Virsorter</li> </ul>
[OBSOLETE] OCTOPUS Database v.2: The CRN Denudation Australian v.2 collection. Basin-averaged denudation rates from cosmogenic Be-10 and Al-26 abundance
<p>Database of published cosmogenic Be-10 and Al-26 concentrations from modern river sediment and basin-averaged denudation rates inferred from these data. Ancillary spatial data includes: sample site location (point), basin outline (polygon), digital elevation model (raster), D8 flow direction and flow accumulation grids (raster), topographic gradient (raster), atmospheric pressure (raster), and cosmogenic nuclide production scaling factor and topographic shielding grids (raster). The vector spatial data uses the WGS84/Pseudo-Mercator (EPSG: 3857) projected coordinate reference system. The raster data uses the WGS86/UTM projected coordinate reference system, UTM zones depending on the extent and location of each data package. Sample metadata is comprehensive and includes all necessary information and input files for the recalculation of denudation rates using the CAIRN model (https://github.com/LSDtopotools/LSDTopoTools_CRNBasinwide). All denudation rates were recalculated and harmonised using CAIRN. The extent of the data covers Australia.</p> <p>Accompanying publication: Codilean, A. T., Munack, H., Saktura, W. M., Cohen, T. J., Jacobs, Z., Ulm, S., Hesse, P. P., Heyman, J., Peters, K. J., Williams, A. N., Saktura, R. B. K., Rui, X., Chishiro-Dennelly, K., and Panta, A.: OCTOPUS database (v.2), Earth Syst. Sci. Data, 14, 3695–3713, <a href="https://doi.org/10.5194/essd-14-3695-2022" target="_blank" rel="noopener">https://doi.org/10.5194/essd-14-3695-2022</a>, 2022.</p>
[OBSOLETE] OCTOPUS Database v.2: The CRN Denudation Global v.2 collection. Basin-averaged denudation rates from cosmogenic Be-10 and Al-26 abundances
<p>Database of published cosmogenic Be-10 and Al-26 concentrations from modern river sediment and basin-averaged denudation rates inferred from these data. Ancillary spatial data includes: sample site location (point), basin outline (polygon), digital elevation model (raster), D8 flow direction and flow accumulation grids (raster), topographic gradient (raster), atmospheric pressure (raster), and cosmogenic nuclide production scaling factor and topographic shielding grids (raster). The vector spatial data uses the WGS84/Pseudo-Mercator (EPSG: 3857) projected coordinate reference system. The raster data uses the WGS86/UTM projected coordinate reference system, UTM zones depending on the extent and location of each data package. Sample metadata is comprehensive and includes all necessary information and input files for the recalculation of denudation rates using the CAIRN model (https://github.com/LSDtopotools/LSDTopoTools_CRNBasinwide). All denudation rates were recalculated and harmonised using CAIRN. The extent of the data is global, excluding Australia.</p> <p>Accompanying publication: Codilean, A. T., Munack, H., Saktura, W. M., Cohen, T. J., Jacobs, Z., Ulm, S., Hesse, P. P., Heyman, J., Peters, K. J., Williams, A. N., Saktura, R. B. K., Rui, X., Chishiro-Dennelly, K., and Panta, A.: OCTOPUS database (v.2), Earth Syst. Sci. Data, 14, 3695–3713, <a href="https://doi.org/10.5194/essd-14-3695-2022" target="_blank" rel="noopener">https://doi.org/10.5194/essd-14-3695-2022</a>, 2022.</p>
Figure 5 from: Figueira R, Monteiro M, Reino L, Beja P, Mills M, Bastos-Silveira C, Ramos M, Rodrigues D, Queirós Neves I, Consciência S (2014) The collection and database of Birds of Angola hosted at IICT (Instituto de Investigação Científica Tropical), Lisboa, Portugal. ZooKeys 387: 89-99. https://doi.org/10.3897/zookeys.387.6412
Figure 5 - Synoptic of the procedure to digitize and publish the dataset online.
Figure 4 from: Ball-Damerow JE, Oboyski PT, Resh VH (2015) California dragonfly and damselfly (Odonata) database: temporal and spatial distribution of species records collected over the past century. ZooKeys 482: 67-89. https://doi.org/10.3897/zookeys.482.8453
Figure 4 - Spatial distribution of California records before 1976, and after 1979.
Figure 2 from: Ball-Damerow JE, Oboyski PT, Resh VH (2015) California dragonfly and damselfly (Odonata) database: temporal and spatial distribution of species records collected over the past century. ZooKeys 482: 67-89. https://doi.org/10.3897/zookeys.482.8453
Figure 2 - Total number of records and number of species by decade.
Figure 1 from: Ball-Damerow JE, Oboyski PT, Resh VH (2015) California dragonfly and damselfly (Odonata) database: temporal and spatial distribution of species records collected over the past century. ZooKeys 482: 67-89. https://doi.org/10.3897/zookeys.482.8453
Figure 1 - Total number of California Odonata records per year.
Figure 1 from: Kempa M, Edmondson J, Lack HW, Smatanová J, Marhold K (2016) František Nábělek's Iter Turcico-Persicum 1909–1910 – database and digitized herbarium collection. PhytoKeys 75: 69-79. https://doi.org/10.3897/phytokeys.75.9780
Figure 1 - František Nábělek during his travels in 1909–1910 (photo courtesy of family Nábělek).
Figure 2 from: Kempa M, Edmondson J, Lack HW, Smatanová J, Marhold K (2016) František Nábělek's Iter Turcico-Persicum 1909–1910 – database and digitized herbarium collection. PhytoKeys 75: 69-79. https://doi.org/10.3897/phytokeys.75.9780
Figure 2 - Schematic presentation of Nábělek's Iter Turcico-Persicum.
An Age-Stratified Data Collection Study to Establish a Normative Database Using the 3D Optical Coherence Tomography 3D OCT-1000 Mark II
ClinicalTrials.gov study NCT01027936. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.