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The contained files provide data and replication code for BLIS Collective’s Fabric of Repair Report (2025): https://www.bliscollective.org/s/Fabric-of-Repair_Full-Version_LONG.pdf The data were collected by Swayable in early 2025 and analyzed internally by the BLIS Collective research team (PI: Dr. Camilla Griffiths). The data are provided as a .csv BLIS_Swayable_2025.csv
and are merged from two waves of data collection.
Collection of citations from the work of John Dewey relevant for the concept of habits. Used to generate a conceptual framework.
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The tradition of Batak Karo fabric production has been undertaken for a long time, with many businesses in existence for multiple generations, as is the case with the trade business UD Batik Bintang HS (BBHS). Competition in this trade is extremely intense, with many companies degrading and going out of business. Innovation of new value is needed to advance businesses’ efforts to survive and thrive. In addition to the Red Ocean Strategy, in existing business arenas, the Blue Ocean Strategy (BOS) can be adopted to support such efforts. This study aimed to boost value innovation at BBHS by introducing the BOS, presenting a novel research contribution by examining a Batak Karo fabric business using a descriptive qualitative method. Interviews were used for data collection, and the credibility of the data was validated through triangulation of the data sources. Respondents included three internal employees, three customers, and three suppliers, totaling nine participants. Data analysis applied stages of reduction, display, and conclusions/verification. The discussions were engaged using the BOS constructs of strategy canvas, 4-action framework, and BOS formulation. The research results revealed two notable strategies in value innovation. First, new value innovation can be inspired by entering the supplier industry through innovation in fabric raw materials by lowering yarn density, resulting in lower consumer price without affecting quality. Second, innovation strategies included new cloth colors and motifs that dare to go beyond common customs without violating traditional standards. Both strategies represent new value innovations to attract new customers and retain existing customers. From a research perspective, this study contributes novel evidence that the BOS can be applied to broaden perspectives and identify new value innovations in traditional Batak Karo fabric businesses, with potential applicability to a broad range of traditional textile enterprises
https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/NKWRCRhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/NKWRCR
A list of two data frames that summarize the performance of Aqua Aerobic Systems, Inc. cloth filters for primary wastewater treatment at BC Labs. Cloth filters should treat more wastewater to a higher quality with a smaller physical footprint than a traditional primary clarifier. The first data frame contains laboratory data measuring influent and effluent water quality for both the primary cloth filter and primary clarifier. Lab samples were taken at an irregular frequency from April 6, 2017 to November 5, 2019, but samples for the cloth filter were more consistent and frequent than those taken for the primary clarifier. The second data frame contains daily operational averages of online sensor data for the primary cloth filter from January 1, 2019 to January 1, 2020, which includes process control variables. The goals were to (1) determine whether the cloth filter removes more solids and contaminants than the clarifier and (2) investigate how to improve the cloth filter performance.
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Dataset of textiles created from SAWU editor
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This Dataset contains the supplemental data from the manuscript: "Understanding How Entry-Level College Students Collaborate, Learn, and Engage with Geoscience Concepts when Playing Educational Games in a Lab Setting"
https://dataverse.ucla.edu/api/datasets/:persistentId/versions/4.3/customlicense?persistentId=doi:10.25346/S6/N3RVLChttps://dataverse.ucla.edu/api/datasets/:persistentId/versions/4.3/customlicense?persistentId=doi:10.25346/S6/N3RVLC
Online Supplemental Material 2 (OSM 2) contains the data and code necessary to generate Figures 3-6, 8-9, S1 and S5-S6 presented in Sinensky et al. (2022). The R Markdown document (OSM 2.0) will render these figures using the data provided in OSM 2.1-2.6.
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AM Material Signature Identifiers
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This dataset contains a single file consisting of the supplementary material for the article entitled "ESG-Valued Portfolio Optimization and Dynamic Asset Pricing". It contains nine sections. The article describes efficient frontier computations using Refinitive ESG-scores for the date 12/30/2019. Sections SM.1 compares with efficient frontier computations for the date 03/20/2020. Section SM.2 provides data tables referenced in the article. Sections SM.3 through SM.9 provides comparison results to those in the article using Robeco-SAM ESG scores.
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Replication data and code in Stata
These Stata files reproduce the results reported in: Steiner, Nils D./Mader, Matthias/Schoen, Harald (forthcoming): Subjective Losers of Globalization, European Journal of Political Research. The survey data sets used can be obtained directly from GESIS, see the reproduction do-file for further instructions.
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The data collection was conducted to find determinants that affect adoption of recycled wood in Norway. The data was collected during 15th Dec 2023 to 5th Jan 2024 by Norstat AS via online surveys. The two datasets represent cabin-owners (count = 446) and house-owners (count = 467). All thirteen questionnaire items were marked on a Likert scale ranging from 1 (to a very small extent) to 7 (to a very large extent). Id# represents the record number for each survey-taker.
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Usage notesThe Supplementary Material includes 80 pages (Supplementary Methods and Results, 10 tables and 54 figures)
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This supplementary material comprises the anonymized raw data and grouped data of all 36 participants involved in the study. The dataset is essential for researchers seeking detailed insights into the effects of IoT, Blockchain, and Heart Rate Adaptive Running Music on running exercise. It serves as a valuable resource for further research and advanced statistical analysis. Participant Raw Data: Contains individual records for each of the 36 participants. The data is anonymized to ensure privacy and ethical compliance. Grouped Data: The participants were categorized into two distinct groups, employing a counterbalanced design. This organization facilitates easier comparative analysis and interpretation of the data.
https://dataverse.nl/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.34894/LCWRXUhttps://dataverse.nl/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.34894/LCWRXU
Supplementary material beloning to the dissertation "Dealing with autonomy. Self-regulated learning in open online education" by Renée Jansen (Utrecht University)
https://dataverse.tdl.org/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.18738/T8/R2KSCYhttps://dataverse.tdl.org/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.18738/T8/R2KSCY
Protocols, Instructions, and Surveys used During the GeoFORCE assessment of the Taphonomy Game
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This data package contains the material necessary for replicating the article. There are three datasets and three scripts that will replicate the results in the article. See ReadMe file for further information.
https://dataverse.tdl.org/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.18738/T8/CQMLY6https://dataverse.tdl.org/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.18738/T8/CQMLY6
Supplemental Material for Martindale et al. '“Reef Survivor”: A new board game designed to teach college and university undergraduate students about reef ecology, evolution, and extinction' submitted to the Journal of Geoscience Education
https://dataverse.tdl.org/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.18738/T8/UWCVKHhttps://dataverse.tdl.org/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.18738/T8/UWCVKH
This is the Print-and-Play version of "Taphonomy: Dead and Fossilized" that was used for testing the game's efficacy in an undergraduate classroom. This site also contains the associated educational material and instructions to play the game during the assessment.
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This prublication is the result of material investigation strategy in product design advancement that examined the material use from Swietenia macrophylla, usually known as mahogany.
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The contained files provide data and replication code for BLIS Collective’s Fabric of Repair Report (2025): https://www.bliscollective.org/s/Fabric-of-Repair_Full-Version_LONG.pdf The data were collected by Swayable in early 2025 and analyzed internally by the BLIS Collective research team (PI: Dr. Camilla Griffiths). The data are provided as a .csv BLIS_Swayable_2025.csv
and are merged from two waves of data collection.