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The Observatory Knowledge Graph (OKG) is a knowledge graph with tweets on inequality in terms of the OBIO ontology (https://w3id.org/okg/obio-ontology/), which integrates social media metadata with various types of linguistic knowledge. The OKG can be used as the backbone of a social media observatory, to facilitate a deeper understanding of social media discourse on inequality. We retrieved tweets and retweets published from the end (30th) of May 2020 to the beginning (1st) of May 2023. In this version of the OKG, we use a sample of 85,247 tweets, published from May 30th to August 27th, 2020. To be compliant with Twitter's policies, we remove usernames and id's, as well as the tweet texts and sentences. We also replace user IRIs with skolem IRIs through skolemization. Access to the OKG as well as the SPARQL endpoint can be requested by sending a mail to the contact person with the following information: A description of the use case Affiliation of the researchers involved How their work is in line with Twitter's policies: https://developer.twitter.com/en/developer-terms/policy#4-d

FTIR analysis data on a calcifying oral biofilm model. Includes metadata, raw data and images of spectra. README.md file included in ftir_raw-data.zip.FTIR analysis: A few ug of each sample were repeatedly ground together with KBr and pressed in a 7 mm die under two tons of pressure using a Specac mini-pellet press. Samples were analysed at the Laboratory for Sedimentary Archaeology, Haifa University. The analysis was conducted with a Thermo Nicolet is5 spectrometer intransmission, at 4 cm^-1 resolution, with an average of 32 scans between wavenumbers 4000 and 400 cm^-1.

Dataset analysed in Pintossi, N., Ikiz Kaya, D., Pereira Roders, A. (2023). Cultural heritage adaptive reuse in Salerno: Challenges and solutions. City, Culture and Society, 100505. https://doi.org/10.1016/j.ccs.2023.100505 Date of data collection: 27/11/2018 Geographic location of data collection: Salerno, Italy. The venue of the data collection is Salone dei marmi, Palazzo di Città, via Roma, 84121 Salerno, Italy Activity of data collection: Historic Urban Landscape workshop 2 - Salerno. Held in Salerno, Italy, on 26-27/11/2018 Aim of data collection: Multi-scale, participatory identification of challenges entailed in the adaptive reuse of cultural heritage and solutions Methods for collection/generation of data: see the methodology section in Pintossi, N., Ikiz Kaya, D., Pereira Roders, A. (2023). Cultural heritage adaptive reuse in Salerno: Challenges and solutions. City, Culture and Society, 100505. https://doi.org/10.1016/j.ccs.2023.100505 Researchers facilitating roundtable discussion and writing down paper version of data: Marco Acri, Gaia Daldanise, Gamze Dane, Cristina Garzillo, Antonia Gravagnuolo, Lu Lu, Nadia Pintossi, and Ruba Saleh Researcher translating to English, transcribing data in the digital tabular dataset, and cleaning the data: Nadia Pintossi Original language of the data: English, Italian, and mix of English and Italian {"references": ["Pintossi, N., Ikiz Kaya, D., Pereira Roders, A. (2023). Cultural heritage adaptive reuse in Salerno: Challenges and solutions. City, Culture and Society, 100505. https://doi.org/10.1016/j.ccs.2023.100505", "Pintossi, N. (2022). Challenges and potential solutions for cultural heritage adaptive reuse: A comparative study employing the Historic Urban Landscape approach (Bouwstenen). Eindhoven University of Technology. https://research.tue.nl/files/205757720/20220706_Pintossi_hf.pdf"]}

Datasets underlying the analysis of the paper "Memecry: Tracing the Repetition-with-Variation of Formulas on 4chan/pol/ This upload includes the following: seedwords.csv: A .csv file with terms we used as a seed list to filter for 4chan/pol/-post containing vernacular. seedword-network_x.gdf/gephi: .gdf and .gephi network files for NPMI-weighted co-word networks of /pol/-posts. We only included posts that contained one of the aforementioned seed list words. twoflow-data_x.xlsx: .xlsx files with data on triplets common to 4chan/pol/. We identified these three-word sequences through the above network files. For example: "gr8 b8 m8", "orange man bad", "lurk moar newfag". The Excel data on these triplet includes: The absolute amount of /pol/-posts per year mentioning the triplets (within a window of five words). The average NPMI scores between the three triplet words per year. The top co-words per year having an average NPMI higher than 0.18 with two of the three triplet words. triplets.csv: A .csv file with the extracted triplets, including their common appearance as memetic phrases and a short explanation. This data was used for "two-flow graphs" available at oilab.eu/formulas/. See the paper for full explanations on the data. Sal Hagen has received a PhD in the Humanities grant from the Dutch Research Council (NWO) under grant number PGW.19.030. Tommaso Venturini author works has been supported by the European Union – Horizon 2020 Program under the scheme "INFRAIA-01-2018-2019 – Integrating Activities for Advanced Communities", Grant Agreement n.871042, "SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics" (http://www.sobigdata.eu).

Dataset containing all archaeological sites in Europe where haddock (Melanogrammus aeglefinus) has been found, and all the fish remains from these sites, based on published and unpublished species identifications.

Data that belongs to the manuscript "Detecting dairy cows' lying behavior using noisy 3D ultra-wide band positioning data" by Adriaens, Ouweltjes, Pastell, Ellen, Kamphuis.

List of archaeological and soil charcoal sites used in the manuscript

The Financial Elite Policymakers Interviewed (FINEPINT) database consists of interviews with financial policymakers from advanced economies and emerging markets. The interviews touch upon both national-level regulatory developments and global-level policymaking processes, as well as the interactions between the two. Interviewees are officials from Ministries, Central Banks and Financial Supervisors, representatives of banking and financial associations, representatives of Civil Society Organizations, and officials from International Organizations working on global financial governance.The semi-structured interviews followed a standard format in which policymakers were asked about:1. The development of their negotiating positions, asking who is involved internally, how the positions are informed by external actors, and who are the main partners in the policymaking process.2. The developments in policymaking processes, asking what were the main drivers of new issues emerging on the agenda, what issues came up in policymaking processes, and who is influential in the policymaking processes.3. The outcomes, asking how the main issues in policymaking processes were resolved and what the expected impacts of new policies will be.Interviews were conducted from 1992 onwards, covering a period of profound changes in the global financial system and its governance. Broad topics that were the focal points of different waves of interviews were the interaction between public and private actors in global policymaking, the political economy of financial liberalization, the internationalization / globalization of financial markets and the regulatory response to this, the Basel Capital Accords, the resolution of sovereign debt crisis, and sustainable finance.Interviewees have been provided with the following options for the use of the transcript:• Quotation: direct quotes from the interview may be used and attributed in the reference.• Referencing, no quotation: interview may be refenced by name as support for a claim, but no direct quotes may be used.• No quotation or referencing: the interview may not be quoted or referenced by name.The principal investigators of the projects included in this database are prof. G.R.D. Underhill and dr. J. Blom. Data collection and development of this dataset has been made possible by:• NWO MaGW Open Competition grant ‘Public-private interaction and shifting patterns of governance’ (grant no. 400-04-233, prof. G.R.D. Underhill)• UKRI ESRC World Economy and Finance program grant ‘National and International Aspects of Financial Development’ (grant no. RES-156-25-0009).• EU Horizon 2020 Research and Innovation program, Marie Sklodowska-Curie Individual Fellowship grant ‘G20LAP: G20 Legitimacy and Policymaking’ (grant agreement no. 845121, dr. J. Blom).