Context
From June 2020 to February 2021, a consortium of 10 organisations undertook a large-scale study on open access journals across the world that are free for readers and authors, usually referred to as “OA diamond journals”. This study was commissioned by cOAlition S in order to gain a better understanding of the OA diamond landscape.

Presentation
The study undertook a statistical analysis of several bibliographic databases, surveyed 1,619 journals, collected 7,019 free text submissions and other data from 94 questions, and organised three focus groups with 11 journals and 10 interviews with hosting platforms. It collected 163 references in the academic literature, and inventoried 1048 journals not listed in DOAJ.

The results of the study are available in the following outputs:

• Findings Report - DOI: 10.5281/zenodo.4558704
• Recommendations Report- DOI:10.5281/zenodo.4562790
• References Library - DOI: 10.5281/zenodo.4562816
• Journals Inventory - DOI: 10.5281/zenodo.4562828
• Dataset - DOI: 10.5281/zenodo.4553103

This dataset contains data used by and partly generated by the OA Diamond Journals Study on open access journals that do not charge authors. It contains the data files themselves as well as some readme texts with variable lists.

Available files:

• Survey questionnaire, English version (PDF)
• Survey data without identifying information and without free texts answers (as these might also include identifying information) (CSV). This includes, for some questions, data from DOAJ for journals present in that database.
• Readme text with the variable list for the survey data file (TXT)
• Stratified sample of 500 records from the ROAD database of open access journals downloaded 20201102 (CSV)
• Readme text with the variable list for the ROAD database sample (TXT)
• Directory of Open Access Journals (DOAJ) metadata downloaded 20200602 (CSV)
• Directory of Open Access Journals (DOAJ) metadata downloaded 20200918 (CSV)
• Added and Removed change log DOAJ, downloaded 20210121 (CSV)
• Readme text with variable list for the Added and Removed change log DOAJ (TXT)

All data are available for reuse under a CC0 license.

Additionally, an online version of the survey results (excluding DOAJ data and excluding free text answers) is available from SurveyMonkey

The Metal Mining Effluent Regulations came into force in 2002 pursuant to the Fisheries Act to regulate the deposit of mine effluent and mine waste into waters frequented by fish. The Metal Mining Effluent Regulations were amended in 2018, and are now known as the Metal and Diamond Mining Effluent Regulations. The Regulations help protect Canada’s lakes and rivers by setting strict limits on the quality of effluent that can be discharged by metal and diamond mines. The Regulations authorize the deposit of effluent into water frequented by fish and places referred to in subsection 36(3) of the Fisheries Act. Effluent must meet concentration-based limits for arsenic, copper, cyanide, lead, nickel, zinc, suspended solids, radium 226 and un-ionized ammonia. Effluent must also have a pH that is between a minimum and maximum level, and must not be acutely lethal. The Regulations require effluent testing and reporting, as well as Environmental Effects Monitoring studies. The Regulations also include an authorization for the use of water frequented by fish for mine waste disposal. Authorization requires an amendment to Schedule 2 of the Regulations. Owners or operators of mines can request an amendment to Schedule 2 of the Regulations, which would designate a water frequented by fish as a tailings impoundment area. The files listed in the ECCC Data Mart below contain the summary of the performance of Canadian metal and diamond mines in electronic format. The dataset in these files are extracted from the annual reports entitled "Status Report on the Performance of Metal Mines Subject to the Metal Mining Effluent Regulations" and "Status Report on the Performance of Mines Subject to the Metal and Diamond Mining Effluent Regulations". The files in KML format are map layers for use in Google Earth™ and other “virtual globe” softwares. They show the reported location of the final effluent discharge points associated with each mining facility subject to the Regulations. When selected, each final discharge point generates a summary table of its effluent data and compliance performance. The CSV files present this same information for each final discharge point in a tabular format that can be easily used for data mining and analysis. Supplemental Information Data Tables To access the data table that you wish to consult, select “View ECCC Data Mart” below and then click on the year of your choice. Annual Reports To access the annual report you wish to consult: visit our data and annual reports webpage and then select the annual report of your choice at https://www.canada.ca/en/environment-climate-change/services/managing-pollution/sources-industry/mining-effluent/metal-diamond-mining-effluent/data-annual-reports.html More information on the metal and diamond mining sector is available at https://www.canada.ca/en/environment-climate-change/services/managing-pollution/sources-industry/mining-effluent/metal-diamond-mining-effluent.html

There were five objects for compiling these data: 1) to conduct a systematic inventory of diamond-backed terrapins (Malaclemys terrapin) using headcount surveys on four National Wildlife Refuges (Harris Neck, Blackbeard Island, Wassaw, and Wolf Island) that are a part of the greater Savannah Coastal Refuges Complex in southeast Georgia, USA; 2) to use occupancy modeling to determine detection probability and distribution of diamondback terrapins; 3) to perform risk assessments of these terrapin populations in relation to crabbing pressure; 4) to generate maps with associated GIS files of terrapin relative densities related to crabbing pressure; and 5) to provide scientific information that will allow for effective management of diamond-backed terrapins on these National Wildlife Refuges. The data collected during the course of the systematic inventory of diamond-backed terrapins includes information on terrapin detection in tidal creeks on refuges, crab pot numbers and locations, and a variety of environmental-, _location-, and observer-related variables to examine the effects of both environmental conditions and observer bias on terrapin detection. Data were collected on crabbing pressure, terrapin detections, and other variables related to date, time, _location, environment, observer, and transect length and IDs. Data was collected simultaneously. For example, while performing headcounts, we were also noting crab trap locations, environmental, and observer variables. Data resulting from occupancy modeling is contained in the data.csv file and was used to test hypotheses about the scale at which terrapin head counts respond to crab trapping. Three covariates were considered for generalized linear mixed effects models, including the average observed crab pot density at either the creek scale (creek_cpot) or the refuge/island scale (island_cpot), and the cloud metric (environmental variable as cloud cover can have an influence on terrapin detectability). The risk assessment used data from terrapin head counts and crab pot locations to assess the risk of terrapin mortality due to the presence, density, and distribution of crab trapping activities. Risk was defined as spatial overlap in observations of crab trapping activities and observations of terrapins along head count survey transects in creeks over the entire length of the study. No adjustments for detection probabilities were made, so the risk is based solely on the survey results. Each of the four National Wildlife Refuges sampled were analyzed separately. Maps were generated to show crabbing pressure in relation to terrapin hotspots, thus highlighting areas in need of protection to assure the persistence of terrapin populations and helping to meet the goal of providing information for effective management of diamond-backed terrapins on these refuges.

Context The following shortlist of diamond open-access journals was compiled to increase awareness of alternative scholarly publication models among the six departments of the Faculty of Science at Utrecht University. The list is relevant to the six disciplines at the Faculty of Science: Biology, Chemistry, Mathematics, Information and Computing Sciences, Physics, and Pharmaceutical Sciences. For this purpose, a "diamond journal" is defined as a journal indexed in the Directory of Open Access Journals (DOAJ) that does not charge an article processing charge (APC). Contents and Results The Excel file titled “Diamond_journals_faculty_of_science_UU” contains the list of selected diamond journals based on the following criteria: they allow submissions in English, have a plagiarism screening policy, possess an electronic ISSN number, and accept submissions in Biology, Chemistry, Mathematics, Information and Computing Sciences, Physics, and Pharmaceutical Sciences. In this shortlist, 355 journals meet the criteria. Out of these 355 journals, only 29 have received a DOAJ seal, 150 journals are indexed in Scopus, and 94 journals are indexed in Web of Science. A detailed description of the methods employed to obtain this shortlist can be found in the Word file titled "Methods_and_Results". The raw CSV data has been included under the name "Raw_DOAJ_journal_metadata_2023_07_25". Limitations The compilers of this shortlist are aware that some current diamond journals could change their status to non-diamond by charging article processing fees at a later stage. Since the journal record is not always updated by the publishers, we strongly recommend the users double-check the latest open access status directly on the journal's homepage (journal URLs are provided in the Excel file). The same applies for Scopus and WOS indexations. {"references": ["Bosman, Jeroen, Frantsv\u00e5g, Jan Erik, Kramer, Bianca, Langlais, Pierre-Carl, & Proudman, Vanessa. (2021). OA Diamond Journals Study. Part 1: Findings. Zenodo. https://doi.org/10.5281/zenodo.4558704"]}

Context
From March to September 2022, the «Platinum Open Access Funding» Project (PLATO), in collaboration with the Institute for Applied Data Science & Finance at the Bern University of Applied Sciences, undertook a bibliometric and empirical study of the Platinum/Diamond open access journal landscape in Switzerland. The PLATO project is an initiative of six Swiss universities – the University of Zurich, the University of Bern, the University of Geneva, the University of Neuchâtel, the Zurich University of the Arts and ETH Zurich –, dedicated to furthering community-led scholarly publishing in Switzerland. Diamond open access stands for a concept of equitable open access to and participation in scholarly publishing that is free for both authors and readers.

Presentation
The main objective of the PLATO Study was to gain insight into the Platinum/Diamond open access publishing ecosystem in Switzerland through a mixed-method approach. The study consisted of three parts: First, bibliometric data were combined with inputs from Swiss open access publishers, institutional open access experts as well as information on journal websites to identify Swiss Diamond OA journals and their main characteristics. Second, seven semi-structured interviews with editors of select Diamond OA journals were conducted to generate a thorough understanding of their workflows, infrastructures, business models, challenges and opportunities. Third, based on the inputs from the interviews, three surveys were designed and sent to authors/reviewers, editors, and representatives of hosting and funding institutions of Swiss Diamond OA journals.

The results of the study are published in the form of the following outputs:

• DOI Report: 10.5281/zenodo.7461728
• DOI Bibliometric List: 10.34914/olos:l2tys6tie5f63h35lqpqzzlx24
• DOI Data Set: 10.5281/zenodo.7461754

The Data Set comprises the following files:

• Survey questionnaires

SurveyQuestionnaire_Author.pdf
SurveyQuestionnaire_Editor.pdf
SurveyQuestionnaire_Publisher.pdf

• Data collected in three survey studies addressing journal editors, authors/reviewers as well as representatives of hosting and funding institutions:

StudyData_Author.csv
StudyData_Editor.csv
StudyData_Publisher.csv

• Codebooks explaining the coding of the survey data files:

StudyCodebook_Author.pdf
StudyCodebook_Editor.pdf
StudyCodebook_Publisher.pdf