Repositorio de datos para revistas de la colección de SciELO México cuyas temáticas son: Ciencias agrícolas, Ciencias biológicas, Ciencias de la salud, Ciencias exactas y de la tierra, Ciencias sociales aplicadas, Humanidades, Ingeniería, Linguística, letras y artes.

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


Data repository for journals from the SciELO México collection whose themes are: Agricultural Sciences, Biological Sciences, Health Sciences, Exact and Earth Sciences, Applied Social Sciences, Humanities, Engineering, Linguistics, Letters and Arts.

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


Repositório de dados dos periódicos da coleção SciELO México cujos temas são: Ciências Agrárias, Ciências Biológicas, Ciências da Saúde, Ciências Exatas e da Terra, Ciências Sociais Aplicadas, Humanidades, Engenharias, Linguística, Letras e Artes.

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

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31 to 40 of 43 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 - Veterinaria México OA
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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