Research Dataset Catalog and ShareScore Ratings | ScienceDex

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Distribution of the Natura 2000 habitat type 7220 (Cratoneurion) in Flanders and Brussels Capital Region, Belgium (version 2025)

The dataset is a geospatial collection of points that correspond with the presence or absence of the Natura 2000 habitat type <code>7220</code> (Petrifying springs with tufa formation (Cratoneurion)) in springs and streaming water segments in the Flemish and Brussels Capital Region, Belgium. The dataset also contains  a number of locations that were visited during mapping projects but where <code>7220</code> was found absent, or where additional survey is needed to decide on presence/absence of the habittype. The file is a GeoJSON format RFC7946 (WGS84). The data source is produced, owned and administered by the Research Institute for Nature and Forest (INBO, Department of Environment of the Flemish government). Headers are:  <ul> <li><code>id</code>; </li> <li><code>source</code>: original data source;</li> <li><code>validity status</code>: field inventory carried out (<code>gecontroleerd</code>) or not (<code>niet gecontroleerd</code>);</li> <li><code>name</code>: unique name of the site;</li> <li><code>system_type</code>: stream type (<code>rivulet</code>), mire type (<code>mire</code>), unknown (<code>unknown</code>) or na (<code>NA</code>);</li> <li><code>habitattype</code>: <code>7220</code>, no Natura 2000 type <code>(gh)</code>, unconfirmed <code>7220</code> <code>(7220, gh)</code>, alkaline fen<code>(7230)</code>;</li> <li><code>unit_id</code>: spatially related sites are identified by a common identifier</li> <li><code>area_m2</code>: area in square meters;</li> <li><code>year</code>: year of field inventory;</li> <li><code>sbz</code>: inside (1) or outside (0) special area of conservation;</li> <li><code>geometry</code>: latitude, longitude in decimal degrees.</li> </ul>

opencc-by-4.0Feb 2020View details →

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Database of digital media publications on maternal (family) capital in Russia in 2006-2019

Abstract The database contains data from publications of digital Russian-language media of the Russian Federation on the topic of maternity capital in the period from May 10, 2006 to June 30, 2019. The database includes uploading general data on publications on maternity capital in .xls formats (UTF-8 encoding) . Full texts of publications are presented in .xml format. A specialized request was generated for the aggregator of publications of Russian-language digital mass media <a href="https://vk.com/away.php?to=http%3A%2F%2Fpublic.ru&cc_key=">public.ru</a> . In total, the database consists of 457888 publications of 7665 publishing houses from 1251 settlements in Russia on the territory of 85 regions. The database includes information about the date, type, authors, publisher and place of publication (municipality, region of the publisher), as well as full texts of publications.   Keywords: database, digital media, maternal (family) capital, central and municipal media, Russia JEL codes: J10, J13, Z18.   Data format and access: The database consists of full-text publications of digital media on the topic of maternity capital. Materials in Russian have been published in federal, regional and local digital media. Publication period: May 10, 2006 to June 30, 2019. The database consists of 457888 publications of 7665 publishing houses from 1251 settlements in Russia on the territory of 85 regions. Presentation format .csv, .xml (full texts). The file "Matkap_SMI_17_11_2021.csv" contains processed information from the extended full-text sample by years (contained in the "XML.rar" archive).  pubData - date of publication (format "YYYY-MM-DD") text - text from "description" in xml-files after lemmatization (removal of punctuation, lowercase and remove punctuation, spaces, numbers) source - name of the electronic edition place - town or city in Russia type - type of electronic edition (newspaper, magazine, TV program, internet resource) period - frequency of publication positive - the number of unique positive words from the RuSentiLex2017 dictionary negative - the number of unique negative words from the RuSentiLex2017 dictionary neutral - the number of unique neutral words from the RuSentiLex2017 dictionary Data collection methodology: The aggregator of publications of Russian-language digital mass media <a href="https://vk.com/away.php?to=http%3A%2F%2Fpublic.ru&cc_key=">public.ru was used</a>. The selection of publications was limited to the time period from May 10, 2006 (Russian President Vladimir Vladimirovich Putin first announced the maternity capital programme in his message to the Federal Assembly, as one of the mechanisms to stimulate fertility and overcome the demographic crisis) to June 30, 2019 (until this date, the programme allowed full uploading of media publications without losses during the period of uploading publications from 01.08.2021 to 15.08.2021). Key words used to select articles on maternity capital: “maternal capital”, “maternity capital”, “family capital”, “paternal capital”. The publication had to repeat at least two phrases from the request, while the distance between the phrases had to be no more than 4 sentences. This excluded publications in which the topic of maternity capital was mentioned incidentally, indirectly. Duplicate articles were removed from the database. Duplicates related to publications that included a full repetition of the text of the publication itself, the publishing house and the municipality (location) of the publishing house. Duplications (reprints) of articles in other publishing houses or in other regions were not excluded.  After lemmatization of the text (as well as after reducing the text to lower case, removing unnecessary spaces, numbers and punctuation), according to the RuSentiLex2017 dictionary (Loukachevitch N., Levchik A. Creating a General Russian Sentiment Lexicon. In Proceedings of Language Resources and Evaluation Conference LREC-2016, 2016.) unique positive, negative and neutral words and phrases (variables) were counted. Repetitions of tonal words (stances) are not counted.

opencc-by-4.0Nov 2021View details →

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Saudi Arabian Capitals Urban Land Cover Maps: 1985-2019

A CCDC algorithm was used to produce 13 sets of geographical maps. Each set represents one capital city of Saudi Arabia: Riyadh (which also serves as the country’s capital), Buridah, Ha’il, Dammam, Makkah, Madinah, Arar, Skakah Tabuk, Albaha, Abha, Jazan, and Najran. Each of the 13 datasets contains 35 annual maps from 1985 to 2019. The file format of these datasets is the .hdr file. The dataset is free to download.  In the case of using the urban land cover maps, please cites the website and the paper: <ol> <li>Aljaddani AH, Song X-P, Zhu Z. Characterizing the Patterns and Trends of Urban Growth in Saudi Arabia’s 13 Capital Cities Using a Landsat Time Series. Remote Sensing. 2022; 14(10):2382. https://doi.org/10.3390/rs14102382</li> <li>Aljaddani, Amal H, Song, Xiao-Peng, & Zhu, Zhe. (2022). Saudi Arabian Capitals Urban Land Cover Maps: 1985-2019 (Version: 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6210073</li> </ol>

opencc-by-4.0Feb 2022View details →

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Colección de notas del diario La Capital de la ciudad de Mar del Plata, Buenos Aires, Argentina

Se trata de un dataset de notas periodísticas del diario marplatense La Capital que cubre desde el mes de marzo de 2016 hasta junio de 2022. Contiene las siguientes variables: fecha, titulo, bajada, nota y link.

opencc-by-4.0Jul 2022View details →

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Capital markets in 16th-century 's-Hertogenbosch (Bois-le-duc)

This csv-file contains a simple transcription of the so-called Bosch' Protocol, the aldermen's registers of the city of 's-Hertogenbosch, for the period October 1508 to August 1512. I transcribed this source during my master's research. This source documents real estate and annuity transactions in the wide region of 's-Hertogenbosch (the Meierij).

opencc-by-4.0Dec 2021View details →

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Capital use matrices

This dataset is for the Capital Endogenisation - the use of capital goods by industry. The dataset is a straight forward update to the Zenodo record <a href="https://zenodo.org/record/3874309">https://zenodo.org/record/3874309 </a> <a href="https://zenodo.org/records/5589597">EXIOBASE v3.8.2 is available on Zenodo</a> Matrices describe the total use of capital goods by industries in MEur, in industry (pxi) and product classification (pxp). Details on compilation procedure is described in: Södersten, Carl-Johan H., Richard Wood, and Edgar G. Hertwich. "Endogenizing capital in MRIO models: the implications for consumption-based accounting." Environmental science & technology 52.22 (2018): 13250-13259 The capital flows stem from the consumption of capital (CFC) from EXIOBASE3, and have been benchmarked to CFC measures from the World Bank, as described in: Södersten, Carl-Johan, Richard Wood, and Thomas Wiedmann. "The capital load of global material footprints." Resources, Conservation and Recycling 158 (2020): 104811. More details on the employment intensity of electricity sectors in: Montt, Guillermo, Kirsten S. Wiebe, Marek Harsdorff, Moana Simas, Antoine Bonnet, and Richard Wood. "Does climate action destroy jobs? An assessment of the employment implications of the 2‐degree goal." International Labour Review 157, no. 4 (2018): 519-556.

opencc-by-4.0Dec 2021View details →

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Dataset: Arch Capital Group Ltd. (ACGLO) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.