31 to 40 of 41 Results
Sep 30, 2024 -
Replication data for: 1246. Retrospective analysis of fractures in crab-eating foxes (Cerdocyon thous; Linnaeus, 1766)
Adobe PDF - 181.9 KB -
MD5: 605b475cd089de3eba3f8f83833a955f
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Sep 30, 2024 -
Replication data for: 1246. Retrospective analysis of fractures in crab-eating foxes (Cerdocyon thous; Linnaeus, 1766)
Tabular Data - 7.8 KB - 9 Variables, 22 Observations - UNF:6:p4AT3xxMfFfPlLkAwfeZJg==
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Sep 30, 2024 -
Replication data for: 1246. Retrospective analysis of fractures in crab-eating foxes (Cerdocyon thous; Linnaeus, 1766)
Adobe PDF - 78.2 KB -
MD5: c20e2f1038c8257a8f8438eaaef6cddb
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Sep 30, 2024 -
Replication data for: 1246. Retrospective analysis of fractures in crab-eating foxes (Cerdocyon thous; Linnaeus, 1766)
Plain Text - 3.6 KB -
MD5: 2538f37b1f2e73e65042b63af6d755d2
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Sep 30, 2024 -
Replication data for: 1246. Retrospective analysis of fractures in crab-eating foxes (Cerdocyon thous; Linnaeus, 1766)
Adobe PDF - 117.7 KB -
MD5: 763a1a345739c4566a3d310fd8c3f460
S3 - complete; Hip bone: Right: pubis; caudal acetabulum; Left: pubis; ischium (moderate pelvic canal narrowing) |
Sep 30, 2024
Ural, Mehmet Nihat; Arslan, Sezai; Özdemir, Nurullah, 2024, "Replication Data for: 1229. Determination of knowledge levels and attitudes of clinician veterinarians working in Thrace region towards antibiotic use", https://doi.org/10.48331/scielodata.M51ZXU, SciELO Data, V1, UNF:6:HfbMefuuyEaFiMaJBEa2Eg== [fileUNF]
This dataset is based on a study aimed at evaluating the knowledge levels and attitudes of clinical veterinarians working in the Thrace region regarding antibiotic use and antibiotic resistance. The study was conducted through an online survey among veterinarians operating in the... |
Plain Text - 2.6 KB -
MD5: bcb4b2bc7c9103c4f5d555a8913b7ca7
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MS Word - 1.8 MB -
MD5: cd683ae12b4b0eacf03cec7cbf5823a2
The revised step-by-step guide available on SciELO demonstrates how to calculate percentage values for questions with multiple response options. This update will assist users in properly analyzing the dataset when dealing with multiple-choice questions. |
Tabular Data - 11.5 KB - 74 Variables, 60 Observations - UNF:6:+33+DMuVZt0Ie0xHVW3bFA==
This updated version now includes all variable names and descriptions in English, ensuring that other researchers can understand and utilize the dataset more effectively. |
MS Word - 36.9 KB -
MD5: 1384c571c556c90e3d160ee4bffb0e1c
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