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197 results for “chronicle”
Data base for the known manuscripts that transmit the chronicle of Jakob Twinger von Königshofen
<p>The database derives from my research for my PhD, which I conducted between 2013 and 2017 at the University of Freiburg (Germany). The thesis was defended in summer 2018 and published in 2020 with De Gruyter: <a href="https://doi.org/10.1515/9783110636475">Ina Serif: Geschichte aus der Stadt. Überlieferung und Aneignungsformen der deutschen Chronik Jakob Twingers von Königshofen. Berlin/Boston 2020</a>. I have been using <a href="https://nodegoat.net/">nodegoat</a> for several years now as my working and data storing environment. As it is a relational database, the export for this repository consists of two files: the main file, manuscripts.csv, which contains the manuscripts and their metadata, and a content file, content.csv, which contains the relations between texts and manuscripts, using "nodegoat_ID" as identifier. As of 2022, the main file consists of 128 records, the content file of 1220 entries. You should be able to import it to the software you prefer, linking the content to the manuscripts through "nodegoat_ID". The metadata fields for the manuscripts are the following: nodegoat ID, Institution, Call no., Sigle, Folio no., Material, Language, illustrated, Exact date of origin, Date of origin, Place of origin, Place certain, Chronicle Version, Additional info. The information about the single codices derives from manuscript catalogues, research articles, and own analyses. For a complete bibliography of the used literature see my thesis, pp. 215–245. As this is a finished research project, the database gets updated only on an irregular basis. I am also maintaining an online article about the known manuscripts and existing digital versions: Ina Serif: Der zerstreute Chronist. Zur Überlieferung der deutschsprachigen Chronik Jakob Twingers von Königshofen, in: Mittelalter. Interdisziplinäre Forschung und Rezeptionsgeschichte, 2/2015, last update 10/2021, <a href="https://mittelalter.hypotheses.org/7063">https://mittelalter.hypotheses.org/7063</a>. The record for the chronicle in the <a href="https://handschriftencensus.de/werke/1906">Handschriftencensus</a> does not list all manuscripts that I consider to be textual witnesses (as of October 2021, it lists 115 manuscripts), but contains additional information regarding single codices.</p>
Quasar dataset: Chronicling the Reionization History at 6 < z < 7 with Emergent Quasar Damping Wings
<p>This is the quasar dataset used in <a href="https://ui.adsabs.harvard.edu/abs/2024arXiv240110328D/abstract">Ďurovčíková et al. (2024)</a>. Please cite the corresponding paper (https://doi.org/10.3847/1538-4357/ad4888) and the DOI of this dataset (10.5281/zenodo.11402934) if you use this data.</p> <p>This dataset was primarily collected using the FIRE spectrograph on the Magellan telescope, J1030+0524, J159-02, and J1120+0641 are combined Magellan/FIRE and VLT/X-shooter spectra, and J1148+5251 is a Keck/MOSFIRE and Keck/ESI spectrum. We publish the reduced spectral files along with the smoothed spectral fits and the mean continuum predictions computed in this paper. Refer to Table 3 in <a href="https://ui.adsabs.harvard.edu/abs/2024arXiv240110328D/abstract">Ďurovčíková et al. (2024)</a> for a description of the FITS file extensions.</p>
Chronicles of Nature Calendar, a Long-term and Large-scale Multitaxon Database on Phenology
<p>We present an extensive, large-scale, long-term and multitaxon database on phenological and climatic variation, involving 506,186 observation dates acquired in 471 localities in Russian Federation, Ukraine, Uzbekistan, Belarus and Kyrgyzstan. The data cover the period 1890-2018, with 96% of the data being from 1960 onwards. The database is rich in plants, birds and climatic events, but also includes insects, amphibians, reptiles and fungi. The database includes multiple events per species, such as the onset days of leaf unfolding and leaf fall for plants, and the days for first spring and last autumn occurrences for birds. The data were acquired using standardized methods by permanent staff of national parks and nature reserves (87% of the data) and members of a phenological observation network (13% of the data). The database is valuable for exploring how species respond in their phenology to climate change. Large-scale analyses of spatial variation in phenological response can help to better predict the consequences of species and community responses to climate change.</p> <p>The recording scheme implemented at nature reserves offers unique opportunities for addressing community-level change across replicate local communities. These data have been systematically collected not as independent monitoring efforts, but using a shared and carefully standardized protocol adapted for each local community. Thus, variability in observation effort is of much less concern than in most other distributed cross-taxon phenological monitoring schemes. To enable analyses of higher-level taxonomical groups, we have included taxonomic classifications for the species in the database.</p> <p>The compilation of the data in a common database was initiated in the context of the project “Linking environmental change to biodiversity change: long-term and large-scale data on European boreal forest biodiversity” (EBFB), funded for 2011-2015 by the Academy of Finland, and continued with the help of other funding to OO since 2016. We organized a series of project meetings that were essential for data acquisition, digitalization and unification. These meetings were organized in Ekaterinburg (Russia) by the Institute of Plant and Animal Ecology, Ural Branch of RAS (Russian Academy of Sciences) in 2011; in Petrozavodsk (Russia) by the Forest Research Institute, at the Karelian Research Center, RAS in 2013; in Miass (Russia) by the Ilmen Nature Reserve in 2014; in Krasnoyarsk (Russia) by the Stolby Nature Reserve in 2014; in Artybash (Russia) by the Altaisky Nature Reserve in 2015; in Listvyanka, Lake Baikal (Russia) by the Zapovednoe Pribajkalje Nature Reserve in 2016; in Roztochja (Ukraine) by the Ministry of Natural Resources of Ukraine in 2016; in Puschino (Russia) by the Prioksko-Terrasnyj Nature Reserve in 2017, in Vyshinino (Russia) by the Kenozero National Park in 2018, and in St Petersburg (Russia) by the Komarov Botanical Institute of the Russian Academy of Sciences in 2019.</p> <p>The compilation of the data in a common database was initiated in the context of the project “Linking environmental change to biodiversity change: long-term and large-scale data on European boreal forest biodiversity” (EBFB), funded for 2011-2015 by the Academy of Finland, and continued with the help of other funding to OO since 2016. We organized a series of project meetings that were essential for data acquisition, digitalization and unification. These meetings were organized in Ekaterinburg (Russia) by the Institute of Plant and Animal Ecology, Ural Branch of RAS (Russian Academy of Sciences) in 2011; in Petrozavodsk (Russia) by the Forest Research Institute, at the Karelian Research Center, RAS in 2013; in Miass (Russia) by the Ilmen Nature Reserve in 2014; in Krasnoyarsk (Russia) by the Stolby Nature Reserve in 2014; in Artybash (Russia) by the Altaisky Nature Reserve in 2015; in Listvyanka, Lake Baikal (Russia) by the Zapovednoe Pribajkalje Nature Reserve in 2016; in Roztochja (Ukraine) by the Ministry of Natural Resources of Ukraine in 2016; in Puschino (Russia) by the Prioksko-Terrasniy Nature Reserve in 2017, in Vyshinino (Russia) by the Kenozero National Park in 2018, and in St Petersburg (Russia) by the Komarov Botanical Institute of the Russian Academy of Sciences in 2019.</p> <p>The compilation of the data into a common database was conducted by the database coordinators (EM and CL) in Helsinki (Finland). Those participants that already held the data in digital format submitted it in the original format, and those that had the data only in paper format digitized it using Excel-based templates developed in the project meetings. Submitted data were processed by the database coordinators according to the following steps:</p> <p> </p> <ol> <li>The data were formatted so that each observation (the phenological date of a particular event in a particular locality and year) formed one row in the data table (e.g. un-pivoting tables that involved several years as the columns). The phenological event names were split into event type (e.g. “first occurrence“) and species name.</li> <li>The event type names (provided originally typically in Russian) were translated into English and the species names (usually provided in Russian) were identified to scientific names, using dictionaries that were partly developed and verified in the project meetings. All scientific names were periodically verified by mapping them to the Global Biodiversity Information Facility (GBIF) backbone taxonomy.</li> <li>We associated each data record with the following set of information fields: (1) project name, i.e. the source organization, (2) dataset name, (3) locality name, (4) unique taxon identifier, (5) scientific taxon name, and (6) event type.</li> <li>We imported the data records in the main database (maintained as an EarthCape database at <a href="https://ecn.ecdb.io">https://ecn.ecdb.io</a>). During the import, the taxonomic names, locality names, and dataset names were matched against already existing records.</li> </ol> <p>There are at least 200 National Parks and Nature Reserves that collect Chronicles of Nature Book data (in Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Moldova, Russian Federation, Tajikistan, Turkmenistan, Ukraine and Uzbekistan). Out of these, the current database covers data from 62 organizations, with the highest coverage in European Russia. The collection of new data continues in most parks. Thus, the database is not complete, and we aim to support the database with updates, depending on the interest of new partners to join, as well as resources and funding. The technical validation procedures described below will also be applied to any new information included in the database.</p> <p>Data is available as a data package (<a href="http://frictionlessdata.io/docs/data-package/#tabular-data">http://frictionlessdata.io/docs/data-package/#tabular-data</a>) and will be updated with new versions as project goes on.</p>
Medieval Italian Civic Chronicles, Part 1
<p>A recording on Civic Chronicles in Medieval Italy recorded in March 2020 for the website, <em>Middle Ages for Educators</em>.</p> <p>Beneš, Carrie and Morreale, Laura. “Medieval Italian Civic Chronicles, Part 1,” <em>Middle Ages for Educators</em>, March 27, 2020. Accessed October 25, 2020. <a href="http://middleagesforeducators.com/videos/medieval-italian-civic-chronicles-part-1/">http://middleagesforeducators.com/videos/medieval-italian-civic-chronicles-part-1/</a>.</p> <p> </p> <p> </p>
Nabonidus Chronicle
The Nabonidus Chronicle (Also called Annalistic Tablet of Cyrus; Cyrus-Nabonidus Chronicle) this is a clay tablet fragment now kept in the British Museum. It primarily depicts the main events of the reign of Nabonidus, including a terse account of the fall of Babylon to the troops of Cyrus. Though it was no doubt originally from Babylon and written in Babylonian cuneiform script, scholars who have examined its script style say it may date from some time in the Seleucid period (312-65 B.C.E.), hence two centuries or more after Nabonidus' day. In spite of the brevity of the Nabonidus Chronicle—the tablet measures about 14 cm (5.5 in.) in breadth at the widest point and about the same in length—it remains the most complete cuneiform record of the fall of Babylon available. On the remaining text secular chronologers calculate the 16th day of Tashritu (Tishri) as falling on October 11, Julian calendar, and October 5, Gregorian calendar, in the year 539 B.C.E. https://wol.jw.org/en/wol/d/r1/lp-e/1200003156 Source: Objaverse 1.0 / Sketchfab
Supplementary material for the article "The Crystal Cargo Provides a Chronicle of Pre-Caldera Dynamics in Mafic Volcanic Systems: Insights from Colli Albani"
<p>This repository contains the data and supplementary material associated with the manuscript: Ágreda-López M., Musu A., Jorgenson C., Sǎla M., Giordano G., Caricchi L., Stremtan C., Petrelli M. "<strong>The Crystal Cargo Provides a Chronicle of Pre-Caldera Dynamics in Mafic Volcanic Systems: Insights from Colli Albani</strong>".<em> S</em>ubmitted to the Journal<em> Bulletin of Volcanology.</em></p> <div> </div> <p> </p>
Chronicles of NYC mural by JR in Domino park
https://www.thechroniclesofnyc.net/ You can download the app [JR:murals](https://apps.apple.com/us/app/jr-murals/id1439732688) to unlock some magic :) Here is another version of the scan with the suroundings: https://sketchfab.com/3d-models/a2eb6b3ea62544b984f90a546160499a Source: Objaverse 1.0 / Sketchfab
Chronicle Offers Management to Patients With Advanced Signs and Symptoms of Heart Failure (COMPASS-HF)
ClinicalTrials.gov study NCT00643279. IPD Sharing: Not stated. Countries: 1. Publications: 1.
IO Islamic 3181 (2). Tawârîkh-i-Râjagân-i-Jamûn, A Portion of the Rare Chronicle of the Râjahs of Jamûn
<p>IO Islamic 3181 (2). Tawârîkh-i-Râjagân-i-Jamûn, A Portion of the Rare Chronicle of the Râjahs of Jamûn</p>
Chronicle of Nature - Phenology of Insects of Oka State Nature Biosphere Reserve
Insects Phenology dataset compiled in the context of Chronicle of Nature program in Oka State Nature Biosphere Reserve (Russian Federation) consisting of 1315 records collected during 85 years between 1938 and 2019.
Chronicle of Nature - Phenology of Plants of Kerzhenskiy State Nature Biosphere Reserve
Plants Phenology dataset compiled in the context of Chronicle of Nature program in Kerzhenskiy State Nature Biosphere Reserve (Russian Federation) consisting of 835 records collected during 16 years between 2000 and 2016.
Chronicle of Nature - Phenology of Plants of Caucasian State Biosphere Reserve of the Ministry of Natural Resources
Plants Phenology dataset compiled in the context of Chronicle of Nature program in Caucasian State Biosphere Reserve of the Ministry of Natural Resources (Russian Federation) consisting of 23710 records collected during 67 years between 1928 and 2000.
Dataset (active) - The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution
<p><strong>%%%% 26/09/2025 - NOTE: This entry only includes the active measurements conducted in the following work. </strong></p> <p><strong>The passive measurements can be found in https://doi.org/10.5281/zenodo.17208870</strong></p> <p> </p> <p>The present dataset is open-sourced with the paper "The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution".</p> <p>The paper is authored by Giuseppe Caso, Mohammad Rajiullah, Konstantinos Kousias, Usman Ali, Nadir Bouzar, Luca De Nardis, Anna Brunstrom, Ozgu Alay, Marco Neri, and Maria-Gabriella Di Benedetto</p> <p>If you use the dataset for your own research activities and publications, please consider citing the paper as follows: </p> <p><strong>G. Caso et al., "The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution," IEEE Open Journal of the Communications Society(IEEE OJ-COMS), pp. 1-21, 2024.</strong></p> <p><strong>@article{caso2024chronicles, <br>title={{The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution}}, <br>author={Caso, G. and Rajiullah, M. and Kousias, K. and Ali, U. and Bouzar, N. and De Nardis, L. and Brunstrom, A. and Alay, O. and Neri, M. and Di Benedetto, M.-G.}, <br></strong><strong>journal={IEEE Open Journal of the Communications Society},<br>pages={1--21}, <br></strong><strong>year={2024}, <br>publisher={IEEE}<br>}</strong></p> <p>A detailed description of the dataset is provided in the paper, and the README file provides additional details.</p> <p>In the paper, an in-depth performance analysis of 5G performance is carried out, also exploiting a dataset previously collected and open-sourced at https://zenodo.org/records/8224890, and fully described in the following publication:</p> <p><strong>@article{kousias2023large,<br> title={{A Large-Scale Dataset of 4G, NB-IoT, and 5G Non-Standalone Network Measurements}},<br> author={Kousias, K. and Rajiullah, M. and Caso, G. and Ali, U. and Alay, O. and Brunstrom, A. and De Nardis, L. and Neri, M. and Di Benedetto, M.-G.},<br>journal={IEEE Communications Magazine},<br>volume = {62},<br>number = {5},<br>pages={44--49},<br>year={2024},<br>publisher={IEEE}<br>}</strong></p> <p>Contact Giuseppe Caso (giuseppe.caso@kau.se) for more information on the dataset(s) and potential access to additional data. </p>
Chronicle of Nature - Phenology of Plants by Mari Chodra National Park
Plants Phenology dataset compiled in the context of Chronicle of Nature program in Mari Chodra National Park (Russian Federation) consisting of 3197 records collected during 10 years between 2007 and 2016.
Chronicle of Nature - Phenology of Plants of Bryansk Forest Nature Reserve
Plants Phenology dataset compiled in the context of Chronicle of Nature program in Bryansk Forest Nature Reserve (Russian Federation) consisting of 382 records collected during 13 years between 2000 and 2012.
Chronicle of Nature - Phenology of Plants of State Environmental Institution National Park Braslav lakes
Plants Phenology dataset compiled in the context of Chronicle of Nature program in State Environmental Institution National Park Braslav Lakes (Belarus) consisting of 1879 records collected during 12 years between 2004 and 2015.
Chronicle of Nature - Phenology of Mammals of Surhanskiy State Nature Reserve
Mammals Phenology dataset compiled in the context of Chronicle of Nature program in Surhanskiy State Nature Reserve (Uzbekistan) consisting of 108 records collected during 5 years between 2010 and 2014.
Chronicle of Nature - Phenology of Plants of Carpathian Biosphere Reserve
Plants Phenology dataset compiled in the context of Chronicle of Nature program in Carpathian Biosphere Reserve (Ukraine) consisting of 4512 records collected during 37 years between 1980 and 2016.
Chronicle of Nature - Phenology of Mushrooms of Bryansk Forest Nature Reserve
Mushrooms Phenology dataset compiled in the context of Chronicle of Nature program in Bryansk Forest Nature Reserve (Russian Federation) consisting of 78 records collected during 22 years between 1989 and 2012.
Chronicle of Nature - Phenology of Arachnids of Bryansk Forest Nature Reserve
Arachnids Phenology dataset compiled in the context of Chronicle of Nature program in Bryansk Forest Nature Reserve (Russian Federation) consisting of 11 records collected during 11 years between 1996 and 2007.
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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.