Resultados totales (Incluyendo duplicados): 35527
Encontrada(s) 3553 página(s)
Encontrada(s) 3553 página(s)
CORA.Repositori de Dades de Recerca
doi:10.34810/data152
Dataset. 2022
DATA OF A STUDY OF SEX PHEROMONE DETECTION BY FEMALES OF THE ORIENTAL FRUIT MOTH, GRAPHOLITA MOLESTA
- Gemeno Marín, César
- Perez-Aparicio, Alicia
- Ammagarahalli, Byrappa
The study explores if female Grapholita molesta moths can detect its own sex pheromone. The approach involves electroantennography (EAG), single -sensillum recordings (SSR), analyzed with non-linear dose-response and hierarchical cluster analysis.
The excel file contains the data, the word file contains the R code. The data are from 3 different experiments. Experiment 1 is the electroantennographic (EAG) response of male and female Grapholita molesta adults to the female sex pheromone components, Z8-12:Ac and E8-12:Ac. Experiment 2 are single-sensillum recordings (SSR) of Z- and E-ORNs from males to the major and minor sex pheromone compounds of females. The EAG and SSR were analyzed with non-linear dose-response curves. In experiment 3, male and female ORNs were challenged with two doses of the major and minor female sex pheromone compounds, a plant volatile blend and the male-produced hairpencil courtship pheromone. The results of experiment 3 were analyzed with hierarchical cluster analysis.
The R code is for descriptive statistics (means, and such), predictive statistics (GLMs and such) and graphs and in addition to the code there are indications for teh different steps, plus selected output .
Data for submission of research manuscript.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data1530
Dataset. 2024
SURVEYS DATASET OF LOCAL INDICATORS OF CLIMATE CHANGE IMPACTS IN JURUÁ RIVER, BRAZIL
- André B. Junqueira
- Reyes-García, Victoria
Quantitative dataset of the Site 'Juruá River' collected by André B. Junqueira in Brazil. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 2st - quantitative part of a 2 part dataset. Quantitative data collection includes household-level surveys with up to 125 randomly selected households and individual-level surveys of up to 175 individuals chosen by convenience sampling. More information on the project at https://licci.eu
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data1531
Dataset. 2024
QUALITATIVE DATASET OF LOCAL INDICATORS OF CLIMATE CHANGE IMPACTS IN PUNA, ARGENTINA
- Andrea Izquierdo
- Reyes-García, Victoria
Qualitative dataset of the Site 'Puna' collected by Andrea Izquierdo in Argentina. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data1532
Dataset. 2024
SURVEYS DATASET OF LOCAL INDICATORS OF CLIMATE CHANGE IMPACTS IN PUNA, ARGENTINA
- Andrea Izquierdo
- Reyes-García, Victoria
Quantitative dataset of the Site 'Puna' collected by Andrea Izquierdo in Argentina. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 2st - quantitative part of a 2 part dataset. Quantitative data collection includes household-level surveys with up to 125 randomly selected households and individual-level surveys of up to 175 individuals chosen by convenience sampling. More information on the project at https://licci.eu
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data1533
Dataset. 2024
QUALITATIVE DATASET OF LOCAL INDICATORS OF CLIMATE CHANGE IMPACTS IN EASTERN TYROL, AUSTRIA
- Christoph Schunko
- Reyes-García, Victoria
Qualitative dataset of the Site 'Eastern Tyrol' collected by Anna Fuchs in Austria. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data1534
Dataset. 2024
REPLICATION DATA FOR "TOWARDS A RESOURCE FRIENDLY CIRCULAR COTTON PROCESSING: FROM CARBOHYDRATE RICH WASTEWATERS TO HYDROGEN PEROXIDE USING CARBOHYDRATE OXIDASES"
- Fredes Tapia, Yerko
- Álvaro Campos, Gregorio
- Guillén Montalbán, Marina
- Romero Ormazabal, Oscar
In the current dataset is presented the characterization of wastewaters from cotton textile industry, as well as the characterization of the carbohydrate oxidases, N-acetylglucosamine oxidase (NagOX) and cellobiose oxidase (COX), in terms of pH and temperature profile, substrate recognition and pH stability. Additionally, the hydrogen peroxide production in wastewater using both enzymes is presented, evaluating the operational modality., Data of H2O2 production by two carbohydrate oxidases, N-acetylglucosamine oxidase (NagOX) and cellobiose oxidase (COX), using wastewater from the cotton textile industry as feedstock
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data1536
Dataset. 2024
PREMATURITY AND AUTISM SPECTRUM DISORDER
- Marín Soro, Marta
This dataset includes data for conducting a prospective longitudinal project that studies the relationship between prematurity, low birth weight, and autism spectrum disorder, following a follow-up protocol for very premature newborns.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data1537
Dataset. 2024
EXPERIMENTAL DATA OF THE CHARACTERIZATION AND OPTIMIZATION OF THE MULTI-ENZYMATIC REACTION OF SYNTHESIS OF ACETOIN FROM ETANOL.
- Muñoz Sánchez, David
- Carceller, Albert
- Álvaro, Gregorio
- Romero, Oscar
- Guillén, Marina
Dataset of the characterization of the optimum pH of reaction, optimum cofactor concentration, optimum initial enzymatic activities and ratios and the use of a sparging gas for the multi-enzymatic synthesis of acetoin from ethanol in a one-pot reactor.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data1538
Dataset. 2024
DATOS CUANTITATIVOS Y CUALITATIVOS SOBRE EL IMPACTO DE LA PANDEMIA DE LA COVID-19 EN LA COMUNIDAD EDUCATIVA DE CENTROS DE PRIMARIA Y SECUNDARIA UBICADOS EN ENTORNOS SOCIALMENTE VULNERABLES, Y LAS ESTRATEGIAS EDUCATIVAS ADOPTADAS EN CLAVE DE INCLUSIÓN Y EQUIDAD EN ESTOS CENTROS PARA HACER FRENTE A LOS RETOS DERIVADOS DE LA PANDEMIA
- Essomba Gelabert, Miquel Àngel
- Martínez Lozano, Virginia
- Lalueza Sazatornil, José Luis
- Alcalá del Olmo Fernández, María José
- Álvarez Valdivia, Ibis Marlene
- Argelagués Besson, Meritxell
- Arias Sánchez, Samuel
- Blanch Gelabert, Sílvia
- Bretones Peregrina, Eva
- Camps Orfila, Sílvia
- Eito Mateo, Antonio
- Flores Aguilar, Gonzalo
- Forestello Iuri, Ana María
- García Martínez, Jesús
- Guitart Aced, Rosa
- Leiva Olivencia, Juan José
- Macías Gómez-Estern, Beatriz
- González Sodis, José Luis
- Marco Macarro, María José
- Santos Villalba, María Jesús
- Tarrés Vallespí, Anna
- Weise, Crista
El conjunto de datos que se ponen a disposición, proceden de dos instrumentos: por un lado, el Cuestionario de CENTRO que ha sido administrado telemáticamente a los equipos directivos de centros de primaria y secundaria ubicados en territorios socialmente vulnerables, y el Cuestionario de AULA, que ha sido administrado a los y las profesionales que acompañan al alumnado (docentes, educadores/as sociales, educadores/as especiales, TIS y orientadores/as).
Los datos pretenden aportar información relevante sobre las prácticas educativas llevadas a cabo en centros educativos de primaria y secundaria de “alta complejidad” en 2 periodos diferenciados: por un lado, el confinamiento (marzo a junio de 2020); por otro lado, el periodo de posconfinamiento (curso académico 2020-2021). Ambos cuestionarios combinan variables de diferente tipología: numéricas, categóricas, de opción múltiple y de respuesta abierta.
Los datos de la Matriz cuestionario CENTRO ponen el foco en aspectos como: la organización interna, el acompañamiento al alumnado, la relación con las familias, la coordinación con los agentes del territorio o la capacidad de resiliencia del centro, entre otras.
Por su parte, los datos de la Matriz cuestionario AULA, ponen el foco en aspectos como: la coordinación y preparación de equipo educativo, las adaptaciones curriculares, el acompañamiento y comunicación con el alumnado y sus familias, la perspectiva de género e intercultural en las estrategias desarrolladas, entre otras.
Ambos cuestionarios están encabezados por variables que facilitan la contextualización del centro educativo.
Se recogen datos en 3 comunidades autónomas: Cataluña, Aragón y Andalucía.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data1540
Dataset. 2024
3D DESIGN FILES USED AT: A DIY BIOREACTOR FOR IN-SITU NON-INVASIVE METABOLIC TRACKING IN BIOENGINEERED 3D CELL MODELS VIA HYPERPOLARIZED 13C NMR SPECTROSCOPY
- Mangas Florencio, Lluís
- Herrero Gómez, Alba
The following files contain the original 3D designs of both the CAP and STOPPER of the bioreactor platform described in the journal article "A DIY Bioreactor for in-situ Non-Invasive Metabolic Tracking in Bioengineered 3D Cell Models via Hyperpolarized 13C NMR Spectroscopy".
The designs and measurements create a platform suitable for analysis in 5 mm (OD) NMR tubes. When printing, select a biocompatible resin for its use with cell models and tissues. The printer should have enough tolerance to print the fine details in the stopper for optimal platform performance.
Proyecto: //
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