Repositorio de datos y otros materiales relacionados con artículos en proceso de evaluación o aprobados y publicados por la revista Veterinaria México OA.

Antes de realizar cualquier depósito, consulte los Términos y condiciones de uso de SciELO Data.


Data and other materials repository related to articles under evaluation for publication or publicated by the journal Veterinaria México OA.

Before any deposit, consult the SciELO Data Terms and Conditions of Use.


Repositório de dados e outros materiais relacionados com artigos em processo avaliação para publicação ou publicados pelo periódico Veterinaria México OA.

Antes de realizar qualquer depósito, consulte os Termos e condições de uso do repositório SciELO Data.

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31 to 40 of 41 Results
Tabular Data - 7.8 KB - 9 Variables, 22 Observations - UNF:6:p4AT3xxMfFfPlLkAwfeZJg==
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...
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.
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