291 to 300 of 550 Results
Plain Text - 9.1 KB -
MD5: 5b302903e2e80323dd62abe990ff827a
|
SPSS Syntax - 2.0 KB -
MD5: b5a0c20d22345c4fd6a965402c61445d
SPSS script to calculate estimators for bisecting predictive peat scores |
Comma Separated Values - 332.5 KB -
MD5: 0cff04acc633ed2aaa2cf126f5921dcd
Cutoff estimators for Model 1 (created by SPSS script) |
Comma Separated Values - 332.4 KB -
MD5: 18c6f4178c0c932294997042c261263b
Cutoff estimators for Model 2 (created by SPSS script) |
Comma Separated Values - 171.1 KB -
MD5: e56bea349f9f6d9230d10afd861de92d
Ground truth for sample points along with predictive peat model scores from Model 1 and Model 2 formatted as csv file |
Fortran Source Code - 1.7 KB -
MD5: 3abf4145c32cd767f8a1c45d7fb878a5
Fortran program (Intel fortran) to estimate confusion matrixes for different cutoff values |
Feb 10, 2026 - Western Norway University of Applied Sciences
Josep Perelló, 2026, "SENSE. Survey data from the Louvre Citizen Science and Art-Practices Workshop", https://doi.org/10.18710/HB9OIJ, DataverseNO, V1
This dataset is from the Horizon project SENSE. The New European Roadmap to STEAM Education. The dataset originates from a three-phase survey conducted during a workshop designed to assess participants’ evolving self-perception regarding various aspects of citizen science (CS) and artistic practices. The survey was administered at three distinct mo... |
Plain Text - 9.8 KB -
MD5: 6be442cfa0e752dc0dc2e0dfc784b0ed
|
Tab-Separated Values - 3.9 KB -
MD5: b5c4b155af1586cdc66ecc45fe8c0103
|
Adobe PDF - 41.5 KB -
MD5: 04ecfbaf86c766a14047604439b8bc7e
|
