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Human ratings of hyponymy for 2754 English compound words, The stimuli were selected from the Large Database of English Compounds (LADEC Gagné, Spalding, & Schmidtke, 2019) which is a database of over 8000 English closed (i.e., unspaced) compounds along with various psycholinguistic properties including several measures of semantic transparency (based on human ratings and corpus-based measures of association). In total, 2574 compounds were selected were divided into nine lists ranging from 200 to 354 items. Each list was used for one experiment for a total of nine experiments collected across a 2 year period and was seen by 97 to 121 participants. In total, 936 native speakers of English from the University of Alberta participated in the study. The responses were aggregated to obtain the percentage of participants responding yes for each item. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE

This dataset contains key characteristics about the data described in the Data Descriptor Geolocation of unpublished archaeological sites in the Peruvian Amazon. Contents: 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format

10 supplementary tables including identified peptides and proteins, biological processes, and ZooMS identifications

This article explores the role of the museum audioguide as a relational, sensorially driven mode of making and communicating diverse histories. It argues that the artist Benny Nemerofsky Ramsay’s use of voice, storytelling, gesture, movement, and sound helps create conditions for empathic listening, bridging the past and present and widening the spectrum of possibilities for new and diverse knowledge formations. This use of aesthetic and historical registers, the blending of fact with fiction, stresses multivalence and possibility over a singular narrative truth. The act of listening promotes a shared though subjective experience, one that challenges the exclusionary function of traditional museum displays, which turn on objective, documentary claims, while actually reflecting a hegemonic vision of the past. In this way, Nemerofsky offers a queer historical practice for how we might (re)present the diversity of past pasts.

The domestic dog has inhabited the anthropogenic niche for at least 15 000 years, but despite their impact on human strategies, the lives of dogs and their interactions with humans have only recently become a subject of interest to archaeologists. In the Arctic, dogs rely exclusively on humans for food during the winter, and while stable isotope analyses have revealed dietary similarities at some sites, deciphering the details of provisioning strategies have been challenging. In this study, we apply Zooarchaeology by Mass Spectrometry (ZooMS) and liquid chromatography tandem mass spectrometry (LC-MS/MS) to dog palaeofaeces to investigate protein preservation in this highly degradable material and obtain information about the diet of domestic dogs at the Nunalleq site, Alaska. We identify a suite of digestive and metabolic proteins from the host species, demonstrating the utility of this material as a novel and viable substrate for the recovery of gastrointestinal proteomes. The recovered proteins revealed that the Nunalleq dogs consumed a range of Pacific salmon species (coho, chum, chinook and sockeye) and that the consumed tissues derived from muscle and bone tissues as well as roe and guts. Overall, the study demonstrated the viability of permafrost-preserved palaeofaeces as a unique source of host and dietary proteomes.

Raw data used in INAA of chert sources and artifacts obtained from central Cyprus. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE

Our database comprises a listing of 415 archaeological sites discovered to date (2021) in Department of Loreto in the Peruvian Amazon. Each site record corresponds to one archaeological site and comprises 12 fields: (1) Map site number; (2) Site name; (3) Site code; (4) Department; (5) Province; (6) District; (7) Longitude; (8) Latitude; (9) Elevation (Google Earth); (10) Elevation (Recorded); (11) Site Location notes (Satellite imagery 2020); and (12) Reference(s).

Initial release