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Data of a single-case experimental study on the effects of adaptations of a phonics-based reading intervention program on the reading and spelling skills of students with intellectual disability who require augmentative and alternative communication
No full textThe 3 participants of the study have fictional names who apear in the first column of the Excel table ("ID"): Lea, Fadia, and Tim.
The second column of the file indicates the measured outcome (the dependent variable). The two dependent variables in this study were (a) the number of words correctly read and (b) the number of words spelled phonetically correctly (i.e., spelled the way they sound). During probes, the number of words that students were able to spell orthographically correctly (i.e., written correctly with a silent letter at the end) was also assessed because many French words end in a silent letter.
The third colum ("Phase Name") indicates the phase name: baseline phase (before the introduction of the intervention), intervention phase and maintenance (measures administered at lest two weeks after the end of the intervention).
The fourth column ("Session Number)" indicates the number of the probe (measure) which were administered once a week.
The fifth column ("Outcome value") indicates the participants score obtained on the probe (measure), for example the number of words read
New perspectives on car and parce que: Dataset and experimental material from Experiment 2
No full textThis dataset was created in an exploratory study in which we compare how native speakers, aged 20-70 and recruited via a crowdsourcing platform (Experiment 2), evaluate the acceptability of objective and subjective relations expressed with car and parce que
European Social Survey, Switzerland - 2021 (Round 10)
No full text• E: Be aware that the downloadable file is a highly anonymized version. If you notice (after the download) that this data file is not sufficient for your purpose, you can ask for the complete anonymized data file by sending an e-mail to [email protected]. This version is available with prior agreement of authors only. When asking for this file, you will need to argue why the highly anonymized version is not sufficient for your intended use.
• D: Wir möchten Sie darauf hinweisen, dass es sich bei diesem Datensatz um stark anonymisierte Daten handelt. Falls Sie nach dem Download bemerken sollten, dass diese Version Ihren Analysevorhaben nicht genügt, können Sie per E-Mail an [email protected] die kompletten Daten in anonymisierter Form anfordern. Diese sind ausschliesslich nach Zustimmung der Autoren/innen erhältlich. Um diese kompletteren Daten anzufragen, werden Sie gebeten zu begründen, weshalb die stark anonymisierten Daten für Ihr Vorhaben nicht genügen.
• F : Nous attirons l’attention des chercheurs·euses sur le fait qu’il s'agit d'une version hautement anonymisée des données de cette étude. Si, après téléchargement, celle-ci ne devait pas suffire à vos besoins, vous pouvez faire une demande par e-mail à [email protected] pour la version anonymisée complète, disponible uniquement avec accord préalable des auteur·e·s. Vous devrez alors exposer pourquoi la version hautement anonymisée ne suffit pas pour réaliser votre projet
Surface Groups Switzerland 1984-2020
No full textSurface groups for Switzerland (years 1984 - 2020) as georeferenced TIF files.
Classified land cover (surface) of each pixel indicated as:
0 = built-up surfaces: surfaces with buildings of non-natural materials such as concrete, metal, and glass (e.g., residential buildings, industrial plants, roads)
1 = grassy surfaces: surfaces covered by grass or other plants with similar surface reflectance (e.g., natural grassland, city parks)
2 = surfaces with crop fields: surfaces with vegetation for agricultural purposes (e.g., hayfields, vineyards)
3 = forest-covered surfaces: surfaces covered by trees or other plants with similar surface reflectance (e.g., mixed forests, moors)
4 = surfaces without vegetation: surfaces with (almost) no vegetation or buildings (e.g., bare rock, sand plains)
5 = water surfaces: any type of water surface (e.g., rivers, lakes)
9 = missing surface classification, most likely due to cloud cove
Surface Groups Italy 1984-2020
No full textSurface groups for Italy (years 1984 - 2020) as georeferenced TIF files.
Classified land cover (surface) of each pixel indicated as:
0 = built-up surfaces: surfaces with buildings of non-natural materials such as concrete, metal, and glass (e.g., residential buildings, industrial plants, roads)
1 = grassy surfaces: surfaces covered by grass or other plants with similar surface reflectance (e.g., natural grassland, city parks)
2 = surfaces with crop fields: surfaces with vegetation for agricultural purposes (e.g., hayfields, vineyards)
3 = forest-covered surfaces: surfaces covered by trees or other plants with similar surface reflectance (e.g., mixed forests, moors)
4 = surfaces without vegetation: surfaces with (almost) no vegetation or buildings (e.g., bare rock, sand plains)
5 = water surfaces: any type of water surface (e.g., rivers, lakes)
9 = missing surface classification, most likely due to cloud cover
If a TIF file for a given year within the observation period is missing, no valid satellite imagery was available for that year (e.g., due to constant cloud cover)
Behavioral L2 stress dataset
No full textThis dataset includes only behavioral results of stress processing tasks performed in Spanish by French- and German-speaking participants
Spielsperre als Massnahme des Spielerschutzes 2019 bis 2022
No full textIm Rahmen des SNF-Projekts "Die Spielsperre als Massnahme des Spielerschutzes" wurden Spielerinnen und Spieler, die in Schweizer Spielbanken gesperrt sind und nicht gesperrte Spielerinnen und Spieler im Abstand von sechs Monaten an drei Befragungszeitpunkten via Online-Fragebogen (Unipark) in den drei Landesteilen (DE, FR, IT) befragt. Die Befragung wurde in 19 der insgesamt 21 Spielbanken durchgeführt und dauerte von September 2019 bis Juli 2022.
Der Datensatz beinhaltet mit 862 Fällen weniger als die theoretisch erzielbare Anzahl von 1'038 Fällen (= 346 Probanden x 3 Wellen).
Das ist dem Umstand geschuldet, dass nicht alle Probanden in allen drei Wellen an der Umfrage teilgenommen hatten
Governmental, journalistic and other material relevant to the study of the District Mineral Foundation (DMF) (2015-2022)
No full textThis database is composed of qualitative information relating to the District Mineral Foundation (DMF) Funds between 2015 and 2022. It has important governmental, journalistic and other material relevant to the study of the DMF in India:
1. Newspaper clippings of information related to the DMF Fund in Odisha (2015 and 2016)
Description of the data: This database presents the metadata of newspaper clippings related to the DMF Fund collection, spending, or mismanagement in local/regional newspapers in the state of Odisha in 2015. The metadata is in pictorial form and is in Odia language.
2. Performance Audit files published by Governmental organizations of India
Description of the data:
- Bihar: Comptroller and Auditor General of India on Systems and Controls in assessment and collection of mineral receipts for the year ended 31 March 2021
- Chattisgarh: Report of the Comptroller and Auditor General of India on Performance Audit of Mining of minor minerals with emphasis on illegal mining operations
- Jharkhand: Audit on working of District Mineral Foundation Trust in Jharkhand
- Rajasthan: Report of the Comptroller and Auditor General of India. Performance Audit on Illegal Mining in Rajasthan
- A Guideline published by Governmental organizations in India (https://mines.gov.in/admin/storage/app/uploads/644673cc06acf1682338764.pdf)
Description of the data: Government of India/Bharat Sarkar, Ministry of Mines/Khan Mantaralaya; for the implementation of Pradhan Mantri Khanij KshetraKalyanYojana (PMKKKY)
- Suggestions from groups of activists in which members of the researcher team were part of. The suggestions were presented to the government.
(District Mineral Foundation Trust Ramgarh and Gujarat)
This project has been funded by the Swiss National Science Foundation SSH project and is related to the project:
Coastal sand mining of heavy mineral sands: Contestations, resistance, and ecological distribution conflicts at HMS extraction frontiers across the world. Grant Number: 10001A_185148 (SWISSUbase study 20540)