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2,201 to 2,210 of 13,198 Results
MS Excel Spreadsheet - 89.6 KB - MD5: 915aef08be4b5b72f5a4f8cbc2174b2a
Frame and Video metadat file containing image and video names, paths and text-descriptions/labels.
ZIP Archive - 3.7 GB - MD5: 676f1ef6d598332fb985609e124734b4
Folder containing images and videos
ZIP Archive - 3.3 MB - MD5: 40d912cdb695f742da209889f53ff74e
Colorchecker and checkerboard images/video for camera calibration
Jun 16, 2024 - TROLLing
Romasanta, Raquel P., 2024, "Background data for: Regression and random forests: Synergies for variationist corpus research", https://doi.org/10.18710/MHGXDH, DataverseNO, V1
This dataset contains tabular files recording occurrences of the verb REGRET complemented by a that- or -ing-complement clause (CC) in the GloWbE corpus. Tokens were retrieved using the online interface (https://www.english-corpora.org/glowbe/) and manually annotated for several syntactic and semantic variables (variety, text type, finiteness, mean...
Plain Text - 5.7 KB - MD5: 27a1ffdf6e753c7bb7d61c978c60d9ac
File describing the dataset
Plain Text - 415.5 KB - MD5: e7bc01bacc4ae5e249dcd6496a032650
Tab-delimited data table containing the data
Jun 14, 2024 - NTNU – Norwegian University of Science and Technology
Blust, Stefanie; Barroca, Pierre A.C.; Allouche, Yosr; Hafner, Armin, 2024, "Replication Data for: A numerical study of the R744 primary cooling system for ATLAS and CMS LHC detectors", https://doi.org/10.18710/YVECMK, DataverseNO, V2
A new R744 refrigeration system is needed to cool down the detectors, namely ATLAS and CMS, of the Large Hadron Collider (LHC) at CERN in Geneva. A R744-R744 cascade system is planned having a primary 2-stage compression loop and an oil-free, pumped secondary loop. To guarantee a stable and reliable operation of the plant, on one hand, two demonstr...
Jun 14, 2024 - NTNU – Norwegian University of Science and Technology
Tabassum, Shaira; Amirshahi, Seyed Ali, 2024, "NeRF-4Scenes: A Video Dataset for Subjective Assessment of NeRF", https://doi.org/10.18710/LFHFJN, DataverseNO, V1
The dataset contains 36 NeRF-generated videos captured from four different indoor and outdoor environments: S1 for outdoor, S2 for auditorium, S3 for classroom, and S4 for lounge entrance. Each scene is trained using three NeRF models: Nerfacto as M1, Instant-NGP as M2, and Volinga as M3. Finally, each trained scene is rendered on three customized...
ZIP Archive - 1.4 GB - MD5: 83cc7e343559ad1b1f1542d8ef9993aa
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