Resultados totales (Incluyendo duplicados): 35619
Encontrada(s) 3562 página(s)
CORA.Repositori de Dades de Recerca
doi:10.34810/data161
Dataset. 2022

MEDIEVAL SUGAR POTS FROM SICILY: MECHANICAL AND THERMAL PROPERTIES TEST DATA

  • Hein, Anno
  • Mentesana, Roberta Bruna
  • Kilikoglou, Vasillis
This dataset includes the mechanical and thermal properties test data on sugar pots retrieved in Sicily from 11th-16th cent. AD contexts. These data were collected as part of the project “SPotEU: Sugar Pot manufacture in Western Europe in the medieval and post-medieval period (11th -16th centuries AD)”, funded under the Horizon 2020 Marie Skłodowska-Curie actions (https://cordis.europa.eu/project/id/797242)., Two disks with a diameter of c. 30 mm were cut out of each wall fragment using a diamond coated cup-hole saw. The surfaces of the disks were polished afterwards in order to be flat and parallel with a thickness of 7 to 10 mm. The heat transfer properties were determined by means of the transient plane source (TPS) method (Log and Gustafsson 1995). For this, a Trident Thermal Conductivity Instrument was used (C-Therm Technologies Ltd.). A flexible TPS sensor with a diameter of 6 mm was placed between two disks of the same fragment in order to measure simultaneously thermal conductivity, thermal diffusivity and the specific heat capacity of the specimens. Each measurement was repeated five times in order to estimate the analytical uncertainty of the method. For determining the mechanical fracture strength of the specimens an INSTRON 1195 universal testing machine was used (Illinois Tool Works Inc.). The disks were tested by means of the biaxial flexure test (Shetty et al. 1980, 1983, Morrell 1998). For this, they were placed on a hollow steel cylinder with an inner diameter of c. 21.7 mm and a spherical steel indenter with 2.5 mm diameter was pressed in the in the centre of the disk with a speed of 0.1 mm/min. The increasing load was recorded until final fracture of the ceramic specimen. The fracture strength was estimated taking into account disk dimension, maximum load at fracture, size of supporting cylinder as well as the contact area between indenter and ceramic surface., The dataset also includes a file with a description of each sample.

Proyecto: //
DOI: https://doi.org/10.34810/data161
CORA.Repositori de Dades de Recerca
doi:10.34810/data161
HANDLE: https://doi.org/10.34810/data161
CORA.Repositori de Dades de Recerca
doi:10.34810/data161
PMID: https://doi.org/10.34810/data161
CORA.Repositori de Dades de Recerca
doi:10.34810/data161
Ver en: https://doi.org/10.34810/data161
CORA.Repositori de Dades de Recerca
doi:10.34810/data161

CORA.Repositori de Dades de Recerca
doi:10.34810/data1611
Dataset. 2024

SURVEYS DATASET OF LOCAL INDICATORS OF CLIMATE CHANGE IMPACTS IN LAPRAK, NEPAL

  • Uttam Babu Shrestha
  • Reyes-García, Victoria
Quantitative dataset of the Site 'Laprak' collected by Uttam Shrestha in Nepal. 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: //
DOI: https://doi.org/10.34810/data1611
CORA.Repositori de Dades de Recerca
doi:10.34810/data1611
HANDLE: https://doi.org/10.34810/data1611
CORA.Repositori de Dades de Recerca
doi:10.34810/data1611
PMID: https://doi.org/10.34810/data1611
CORA.Repositori de Dades de Recerca
doi:10.34810/data1611
Ver en: https://doi.org/10.34810/data1611
CORA.Repositori de Dades de Recerca
doi:10.34810/data1611

CORA.Repositori de Dades de Recerca
doi:10.34810/data1613
Dataset. 2024

QUALITATIVE DATASET OF LOCAL INDICATORS OF CLIMATE CHANGE IMPACTS IN NAMOLY, MADAGASCAR

  • Vincent Porcher
  • Reyes-García, Victoria
Qualitative dataset of the Site 'Namoly' collected by Vincent Porcher in Madagascar. 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: //
DOI: https://doi.org/10.34810/data1613
CORA.Repositori de Dades de Recerca
doi:10.34810/data1613
HANDLE: https://doi.org/10.34810/data1613
CORA.Repositori de Dades de Recerca
doi:10.34810/data1613
PMID: https://doi.org/10.34810/data1613
CORA.Repositori de Dades de Recerca
doi:10.34810/data1613
Ver en: https://doi.org/10.34810/data1613
CORA.Repositori de Dades de Recerca
doi:10.34810/data1613

CORA.Repositori de Dades de Recerca
doi:10.34810/data1614
Dataset. 2024

QUALITATIVE DATASET OF LOCAL INDICATORS OF CLIMATE CHANGE IMPACTS IN VALLE DEL MORELLO, ITALY

  • Vincenza Ferrara
  • Reyes-García, Victoria
Qualitative dataset of the Site 'Valle del Morello' collected by Vincenza Ferrara in Italy. 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: //
DOI: https://doi.org/10.34810/data1614
CORA.Repositori de Dades de Recerca
doi:10.34810/data1614
HANDLE: https://doi.org/10.34810/data1614
CORA.Repositori de Dades de Recerca
doi:10.34810/data1614
PMID: https://doi.org/10.34810/data1614
CORA.Repositori de Dades de Recerca
doi:10.34810/data1614
Ver en: https://doi.org/10.34810/data1614
CORA.Repositori de Dades de Recerca
doi:10.34810/data1614

CORA.Repositori de Dades de Recerca
doi:10.34810/data1615
Dataset. 2024

QUALITATIVE DATASET OF LOCAL INDICATORS OF CLIMATE CHANGE IMPACTS IN NANNUOSHAN, CHINA

  • Xiaoyue Li
  • Reyes-García, Victoria
Qualitative dataset of the Site 'Nannuoshan' collected by Xiaoyue Li in China. 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: //
DOI: https://doi.org/10.34810/data1615
CORA.Repositori de Dades de Recerca
doi:10.34810/data1615
HANDLE: https://doi.org/10.34810/data1615
CORA.Repositori de Dades de Recerca
doi:10.34810/data1615
PMID: https://doi.org/10.34810/data1615
CORA.Repositori de Dades de Recerca
doi:10.34810/data1615
Ver en: https://doi.org/10.34810/data1615
CORA.Repositori de Dades de Recerca
doi:10.34810/data1615

CORA.Repositori de Dades de Recerca
doi:10.34810/data1616
Dataset. 2024

QUALITATIVE DATASET OF LOCAL INDICATORS OF CLIMATE CHANGE IMPACTS IN TIMUCUY, MEXICO

  • Yolanda Lopez-Maldonado
  • Reyes-García, Victoria
Qualitative dataset of the Site 'Timucuy' collected by Yolanda Lopez-Maldonado in Mexico. 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: //
DOI: https://doi.org/10.34810/data1616
CORA.Repositori de Dades de Recerca
doi:10.34810/data1616
HANDLE: https://doi.org/10.34810/data1616
CORA.Repositori de Dades de Recerca
doi:10.34810/data1616
PMID: https://doi.org/10.34810/data1616
CORA.Repositori de Dades de Recerca
doi:10.34810/data1616
Ver en: https://doi.org/10.34810/data1616
CORA.Repositori de Dades de Recerca
doi:10.34810/data1616

CORA.Repositori de Dades de Recerca
doi:10.34810/data1617
Dataset. 2024

SURVEYS DATASET OF LOCAL INDICATORS OF CLIMATE CHANGE IMPACTS IN TIMUCUY, MEXICO

  • Yolanda Lopez-Maldonado
  • Reyes-García, Victoria
Quantitative dataset of the Site 'Timucuy' collected by Yolanda Lopez-Maldonado in Mexico. 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: //
DOI: https://doi.org/10.34810/data1617
CORA.Repositori de Dades de Recerca
doi:10.34810/data1617
HANDLE: https://doi.org/10.34810/data1617
CORA.Repositori de Dades de Recerca
doi:10.34810/data1617
PMID: https://doi.org/10.34810/data1617
CORA.Repositori de Dades de Recerca
doi:10.34810/data1617
Ver en: https://doi.org/10.34810/data1617
CORA.Repositori de Dades de Recerca
doi:10.34810/data1617

CORA.Repositori de Dades de Recerca
doi:10.34810/data1618
Dataset. 2024

QUALITATIVE DATASET OF LOCAL INDICATORS OF CLIMATE CHANGE IMPACTS IN SHANGRI-LA COUNTY, CHINA

  • Zhuo Chen
  • Reyes-García, Victoria
Qualitative dataset of the Site 'Shangri-la county' collected by Zhuo Chen in China. 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: //
DOI: https://doi.org/10.34810/data1618
CORA.Repositori de Dades de Recerca
doi:10.34810/data1618
HANDLE: https://doi.org/10.34810/data1618
CORA.Repositori de Dades de Recerca
doi:10.34810/data1618
PMID: https://doi.org/10.34810/data1618
CORA.Repositori de Dades de Recerca
doi:10.34810/data1618
Ver en: https://doi.org/10.34810/data1618
CORA.Repositori de Dades de Recerca
doi:10.34810/data1618

CORA.Repositori de Dades de Recerca
doi:10.34810/data1619
Dataset. 2024

SURVEYS DATASET OF LOCAL INDICATORS OF CLIMATE CHANGE IMPACTS IN SHANGRI-LA COUNTY, CHINA

  • Zhuo Chen
  • Reyes-García, Victoria
Quantitative dataset of the Site 'Shangri-la county' collected by Zhuo Chen in China. 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: //
DOI: https://doi.org/10.34810/data1619
CORA.Repositori de Dades de Recerca
doi:10.34810/data1619
HANDLE: https://doi.org/10.34810/data1619
CORA.Repositori de Dades de Recerca
doi:10.34810/data1619
PMID: https://doi.org/10.34810/data1619
CORA.Repositori de Dades de Recerca
doi:10.34810/data1619
Ver en: https://doi.org/10.34810/data1619
CORA.Repositori de Dades de Recerca
doi:10.34810/data1619

CORA.Repositori de Dades de Recerca
doi:10.34810/data1620
Dataset. 2024

QUALITATIVE DATASET OF LOCAL INDICATORS OF CLIMATE CHANGE IMPACTS IN WESTERN HIGHLAND GUATEMALA, GUATEMALA

  • Marisa Lanker
  • Reyes-García, Victoria
Qualitative dataset of the Site 'Western highland Guatemala' collected by Marisa Lanker in Guatemala. 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: //
DOI: https://doi.org/10.34810/data1620
CORA.Repositori de Dades de Recerca
doi:10.34810/data1620
HANDLE: https://doi.org/10.34810/data1620
CORA.Repositori de Dades de Recerca
doi:10.34810/data1620
PMID: https://doi.org/10.34810/data1620
CORA.Repositori de Dades de Recerca
doi:10.34810/data1620
Ver en: https://doi.org/10.34810/data1620
CORA.Repositori de Dades de Recerca
doi:10.34810/data1620

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