BUSCADOR RECOLECTA

Lava dating by means of Ar / Ar radiometric analysis performed by the University of Oregon de La Esfinge y Tamaraceite (Gran Canaria, Canary Islands)

Lava dating by means of Ar / Ar radiometric analysis performed by the University of Oregon de las Salinas de Janubio (Lanzarote, Canary Islands).

The HuGCDN2014 database was provided by the sleep unit of the Dr. Negrín University Hospital (Canary Islands, Spain). It is made up of 77 single-lead ECG recordings, digitized at 200 Hz. The labeling process was performed by an expert based on the simultaneous polysomnography, indicating the presence or absence of apnea in each minute. The database is divided into two groups: 1º) CONTROL: Forty healthy subjects with an AHI lower than 5 (30 men and 10 women). 2º) APNEA: Thirty-seven OSA patients with an AHI higher than 25 (30 men and 7 women). The learning set (L) consists of the first 20 recordings of control subjects and the first 18 OSA patients. The rest belong to the test set (T). The single-lead ECG signal is divided into 5-minute frames, that are shifted in time in increments of 1 minute. The scoring for each segment is assigned to the minute located in the middle position. The RR interval series is constructed as a sequence of time differences between the successive heartbeats.

National accounting matrices (NAM) perfectly describe the economic structure of a national economy, summarizing the whole process of generation of primary income and its distribution among the different institutional sectors of the economy. It is not just a way to represent the main economic statistics of an economy, but it also serves as the basis for most macroeconomic modelling efforts. The business accounting matrix (BAM) presents the most relevant information for the firm in a similar way, adapted to the descriptive potential of financial accounting, what we believe can be useful both for economic modellers and for decision makers at the firm level. This spreadsheet helps to trace how each of the cells of the BAM are calculated. It includes a table in which the cells of the BAM incorporate a description of their content. It also contains the example of a complete BAM (SBAM) that can be used the simulation of changes in demand and other input-output related models. This material allows researchers having the financial accounts of a firm available, to immediately calculate a BAM. They can also easily adapt our proposal to their convenience.

This database contains electricity bills related to energy consumption in Spanish households. The contents of bills are automatically generated following some statistics from official bodies. The main purpose of the dataset is for training machine learning algorithms, especially for designing new methods for extracting information from invoices. There are 86 different labels, which are related to several topics, such as the customer and marketer, the contract, energy consumption, or billing. The total number of invoices is 75.000. The files are organized in two directories: a training directory, with six subdirectories, each containing 5.000 invoices in PDF format and the corresponding labels in JSON files; and a test directory, with nine subdirectories, each containing 5.000 invoices in PDF format. There are two main zip files that contain the test and training sets (test.zip and training.zip). In addition, we have included separate files with a subset of the directories in each set, so it can be downloaded by parts. There is also a reduced version of the dataset with 100 invoices per directory, which is interesting for users who want to preview the content of the dataset before downloading it. IDSEM is an acronym for "an Invoices Database for the Spanish Electricity Market". More information can be found at https://idsem.ulpgc.es/ and in the following article: [1] Javier Sánchez, Agustín Salgado, Alejandro García, and Nelson Monzón, "IDSEM, an invoices database of the Spanish electricity market", Sci. Data, (2022).

Data set of morbidity items from Canary Health Survey, 1997

Data set of morbidity items form Canary Health Survey, 2004

Data set of morbidity items from Canary Health Survey, 2009

Las zanahorias desechadas representan el 30% de la producción total que termina en los vertederos, la tierra o una pequeña parte como alimento para el ganado. La valorización de la pulpa de zanahoria desechada se estudió mediante tratamiento hidrotérmico, fraccionando los azúcares libres, la hemicelulosa y la pectina en la fase líquida y la pulpa residual en la fase sólida. La extracción se realizó en modo de flujo a 140, 160 y 180 ºC, logrando recuperaciones de hasta 211,0 g/kg de pulpa seca de azúcares libres, 29,13 g/kg de pulpa seca de pectina de homogalacturona y 70,45 g/kg de pulpa seca de hemicelulosa de arabinogalactán. La pulpa residual alcanzó un contenido de celulosa de 57,5 % en peso, mientras que antes del tratamiento era de 10,7 % en peso. La mayoría de los azúcares libres se extraían en la etapa de precalentamiento por lotes, de modo que podían obtenerse por separado de los biopolímeros. La extracción por flujo permitió obtener hemicelulosa y pectina de pesos moleculares > 30 kDa. Se estudió detalladamente la evolución de los diferentes rangos de peso molecular para comprender mejor el fenómeno de la autohidrólisis y el vínculo entre la hemicelulosa y la pectina. La amplia distribución de pesos moleculares en el hidrolizado permite un posterior fraccionamiento a través de membranas de ultrafiltración, para obtener una fracción de alto peso molecular para aplicaciones como la formación de películas (en combinación con la pulpa residual)., Departamento de Ingeniería Química y Tecnología del Medio Ambiente, CTQ2016-79777-R (MINECO/FEDER, EU), PID2019-105975GB-I00 (MICINN/FEDER, EU), Spanish Ministry of Education Culture and Sports FPU15/06366

Las hemicelulosas y las pectinas son buenas candidatas como biopolímeros para la formación de productos como las películas de embalaje. Se obtuvieron fracciones purificadas y liofilizadas de hemicelulosas y pectinas, de diferentes pesos moleculares, tratando extractos hidrotermales (140, 160 y 180 °C) de zanahorias desechadas con membranas de ultrafiltración (30, 10, 5 y 1 kDa). Después de cada ultrafiltración, se aplicaron varios ciclos de diafiltración con reutilización parcial del agua, obteniendo una mejor separación y purificación al eliminar los compuestos de menos de 1 kDa. Se utilizó una configuración en cascada (30-10-5-1 kDa) en los extractos de 140 y 160 °C, y una configuración mixta (5-10-1 kDa) en el extracto de 180 °C. La concentración de hemicelulosas de alto peso molecular aumentó en un factor de 5 en la configuración en cascada y en un factor de 16,67 en la configuración mixta. Los azúcares libres y los subproductos se eliminaron a través de las aguas de diafiltración y del permeado de 1 kDa con porcentajes de 98,9-99,5 % en peso y 93,9-99,2 % en peso, respectivamente. El sistema permitía pasar de alimentaciones con peso molecular, polidispersidad y pureza en los rangos 9,02-18,83 kDa, 16,2-31,6 y 30,12-33,51 wt% a fracciones con valores en los rangos 2,59-102,75 kDa, 1,2-4,0 y 73,1-100,0 wt%., Departamento de Ingeniería Química y Tecnología del Medio Ambiente, CTQ2016-79777-R (MINECO/FEDER, EU), PID2019-105975GB-I00 (MICINN/FEDER, EU), Spanish Ministry of Education Culture and Sports FPU15/06366