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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"]}

Rooted in the novel and the mysterious, awe is a common experience in childhood, but research is almost silent with respect to the import of this emotion for children. Awe makes individuals feel small, thereby shifting their attention to the social world. Here, we studied the effects of art-elicited awe on children’s prosocial behavior toward an out-group and its unique physiological correlates. In two preregistered studies (Study 1: N = 159, Study 2: N = 353), children between 8 and 13 years old viewed movie clips that elicited awe, joy, or a neutral (control) response. Children who watched the awe-eliciting clip were more likely to spend their time on an effortful task (Study 1) and to donate their experimental earnings (Studies 1 and 2), all toward benefiting refugees. They also exhibited increased respiratory sinus arrhythmia, an index of parasympathetic nervous system activation associated with social engagement. We discuss implications for fostering prosociality by reimagining children’s environments to inspire awe at a critical age.

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