Homogeneizador de sangre

En el siguiente proyecto se detallan los procesos desarrollados para el diseño y construcción de un agitador oscilatorio de muestras de sangre. La necesidad que hemos observado como estudiantes, es que los laboratorios clínicos no cuentan con lo necesario para poder efectuar de la mejor manera todos los análisis requeridos, por falta de información, y de datos al momento de realizar la toma de muestras. Por ende, hemos decidido diseñar una máquina con los requisitos necesarios para agilizar el proceso, y la metodología de trabajo es importante. Investigar es el primer proceso que se lleva a cabo, recaudar datos, información, diseños, e ideas; para poder diseñar de la manera más eficiente la máquina; con el objetivo de que sea totalmente funcional en laboratorios clínicos. Diseñar una nueva forma de manejo de la máquina, es igual de importante para cubrir con las necesidades que se presentan. Al momento de la construcción se mejora la operatividad de algunas funciones y algunos datos que son necesarios, como la masa, tiempo, y la frecuencia de oscilación. Se verifica el funcionamiento adecuado de la máquina, con muestras de sangre donadas, y eventualmente, en laboratorios sanguíneos para tener una mejor síntesis de los resultados que se esperan obtener

AMAZONIA CAMTRAP: a dataset of mammal, bird, and reptile species recorded with camera traps in the Amazon forest

The Amazon forest has the highest biodiversity on earth. However, information on Amazonian vertebrate diversity is still deficient and scattered across the published, peer-reviewed and grey literature and in unpublished raw data. Camera traps are an effective non-invasive method of surveying vertebrates, applicable to different scales of time and space. In this study, we organized and standardized camera trap records from different Amazon regions to compile the most extensive dataset of inventories of mammal, bird and reptile species ever assembled for the area. The complete dataset comprises 154,123 records of 317 species (185 birds, 119 mammals and 13 reptiles) gathered from surveys from the Amazonian portion of eight countries (Brazil, Bolivia, Colombia, Ecuador, French Guiana, Peru, Suriname and Venezuela). The most frequently recorded species per taxa were: mammals - Cuniculus paca (11,907 records); birds - Pauxi tuberosa (3,713 records); and reptiles - Tupinambis teguixin (716 records). The information detailed in this data paper opens-up opportunities for new ecological studies at different spatial and temporal scales, allowing for a more accurate evaluation of the effects of habitat loss, fragmentation, climate change and other human-mediated defaunation processes in one of the most important and threatened tropical environments in the world. The dataset is not copyright restricted; please cite this data-paper when using its data in publications and we also request that researchers and educators inform us of how they are using this data

AMAZONIA CAMTRAP: A data set of mammal, bird, and reptile species recorded with camera traps in the Amazon forest

The Amazon forest has the highest biodiversity on Earth. However, information on Amazonian vertebrate diversity is still deficient and scattered across the published, peer-reviewed, and gray literature and in unpublished raw data. Camera traps are an effective non-invasive method of surveying vertebrates, applicable to different scales of time and space. In this study, we organized and standardized camera trap records from different Amazon regions to compile the most extensive data set of inventories of mammal, bird, and reptile species ever assembled for the area. The complete data set comprises 154,123 records of 317 species (185 birds, 119 mammals, and 13 reptiles) gathered from surveys from the Amazonian portion of eight countries (Brazil, Bolivia, Colombia, Ecuador, French Guiana, Peru, Suriname, and Venezuela). The most frequently recorded species per taxa were: mammals: Cuniculus paca (11,907 records); birds: Pauxi tuberosa (3713 records); and reptiles: Tupinambis teguixin (716 records). The information detailed in this data paper opens up opportunities for new ecological studies at different spatial and temporal scales, allowing for a more accurate evaluation of the effects of habitat loss, fragmentation, climate change, and other human-mediated defaunation processes in one of the most important and threatened tropical environments in the world. The data set is not copyright restricted; please cite this data paper when using its data in publications and we also request that researchers and educators inform us of how they are using these data