1,721,075 research outputs found
ARC-Lake v1.1 - Ancillary
No full textARC-Lake v1.1 - Ancillary contains ancillary data products. This consists of the full resolution land/water mask used to determined where observations of Lake Surface Water Temperature (LSWT) and Lake Ice Cover (LIC) are derived and a reduced resolution version of this mask, corresponding to the resolution of the spatially resolved data products.
The methodology used to define this land/water mask is described in the ARC-Lake Algorithm Theoretical Basis Document (ARCLake_ATBD_v_1_1.pdf) and a description of the format of these data files is provided in the ARC-Lake Data Product Description document (ARCLake_DPD_v1_1_2.pdf).
Additional information about the ARC-Lake project and some basic data analysis tools can be found on the project website: http://www.geos.ed.ac.uk/arclake/
Please cite both this dataset and the related publication:
* "MacCallum, Stuart N; Merchant, Christopher J. (2011). ARC-Lake v1.1 - Ancillary, 1995-2009 [Dataset]. University of Edinburgh. School of GeoSciences / European Space Agency. https://doi.org/10.7488/ds/106."
* "MacCallum, S.N. and Merchant, C.J. (2012) Surface water temperature observations of large lakes by optimal estimation. Canadian Journal of Remote Sensing, 38 (1). pp. 25-45. ISSN 1712-7971 doi: 10.5589/m12-010"This dataset contains ancillary data for ARCLake v1.1 data products. It consists of the land/water mask, used to define the locations of the lakes, on two grids with different resolution. AL_LW_MASK_020.nc.zip - land/water mask on a 1/20 degree grid, AL_LW_MASK_120.nc.zip - land/water mask on a 1/120 degree grid
ARC-Lake v2.0 - Global
No full textARC-Lake v2.0 - Global contains data products with global coverage, i.e. data for all (available) lakes are included in each product. These data products contain observations of Lake Surface Water Temperature (LSWT) and Lake Ice Cover (LIC) from the series of (Advanced) Along-Track Scanning Radiometers ((A)ATSRs). ARC-Lake v2.0 data products cover the period from 1st August 1991 to 31st December 2011.
A number of different data products are available and are grouped together into eight zip archives, by product type. A summary of the types of data product available is given on http://datashare.is.ed.ac.uk/handle/10283/88 and full details of the file naming convention and file contents are given in the ARC-Lake Data Product Description document (ARCLake_DPD_v1_1_2.pdf). Note that not all types of data product available on a per-lake basis are available as a global product. Details of the methods used and a list of all lakes and their locations are given in the ARC-Lake Algorithm Theoretical Basis Document (ARC-Lake-ATBD-v1.3.pdf).
Additional information about the ARC-Lake project and some basic data analysis tools can be found on the project website: http://www.geos.ed.ac.uk/arclake/
Please cite both this dataset and the related publication:
* "MacCallum, Stuart N; Merchant, Christopher J. (2013). ARC-Lake v2.0 - Global, 1991-2011 [Dataset]. University of Edinburgh. School of GeoSciences / European Space Agency. https://doi.org/10.7488/ds/110."
* "MacCallum, S.N. and Merchant, C.J. (2012) Surface water temperature observations of large lakes by optimal estimation. Canadian Journal of Remote Sensing, 38 (1). pp. 25-45. ISSN 1712-7971 doi: 10.5589/m12-010"This dataset contains global data products (i.e. all lakes, where available, are included in each data file). The dataset is stored across 8 zip archives, covering unaveraged and averaged observation based data, and averaged reconstruction based data. Details of the zip archive contents are as follows: ALID9999_DGOBS1D.zip - unaveraged observations for day-time ATSR1, ALID9999_DGOBS1N.zip - unaveraged observations for night-time ATSR1 observations, ALID9999_DGOBS2D.zip - unaveraged observations for day-time ATSR2, ALID9999_DGOBS2N.zip - unaveraged observations for night-time ATSR2 observations, ALID9999_DGOBS3D.zip - unaveraged observations for day-time AATSR, ALID9999_DGOBS3N.zip - unaveraged observations for night-time AATSR, ALID9999_CGOBS9B.zip - averaged observations for all three ATSRs, ALID9999_CGREC9B.zip - averaged reconstructions for all three ATSRs
ARC-Lake v1.1 - Per-Lake
No full textARC-Lake v1.1 - Per-Lake contains data products on a lake-by-lake basis. These data products contain observations of Lake Surface Water Temperature (LSWT) and Lake Ice Cover (LIC) from the series of (Advanced) Along-Track Scanning Radiometers ((A)ATSRs). ARC-Lake v1.1 data products cover the period from 1st June 1995 to 31st December 2009.
A number of different data products are available for each lake and are grouped together into a zip archive for each lake. A summary of the types of data product available is given on http://datashare.is.ed.ac.uk/handle/10283/88 and full details of the file naming convention and file contents are given in the ARC-Lake Data Product Description document (ARCLake_DPD_v1_1_2.pdf). Individual lake archives are grouped into larger zip archives by continent (with the exception of the Caspian Sea). A full listing of each zip archive is provided in the ARC-Lake Data Product File List (ARCLake_DPFL_v1_1_2.pdf). Details of the methods used and a list of all lakes and their locations are given in the ARC-Lake Algorithm Theoretical Basis Document (ARCLake_ATBD_v_1_1.pdf).
Additional information about the ARC-Lake project and some basic data analysis tools can be found on the project website: http://www.geos.ed.ac.uk/arclake .
Please cite both this dataset and the related publication:
* "MacCallum, Stuart N; Merchant, Christopher J. (2011). ARC-Lake v1.1 - Per-Lake, 1995-2009 [Dataset]. University of Edinburgh. School of GeoSciences / European Space Agency. https://doi.org/10.7488/ds/159."
* "MacCallum, S.N. and Merchant, C.J. (2012) Surface water temperature observations of large lakes by optimal estimation. Canadian Journal of Remote Sensing, 38 (1). pp. 25-45. ISSN 1712-7971 doi: 10.5589/m12-010"This dataset contains data products on a lake-by-lake basis. Lakes have been grouped by continents in the following zip archives: ARCLake_africa.zip - data products for lakes in Africa, ARCLake_asia_oceania.zip - data products for lakes in Asia/Oceania, ARCLake_europe.zip - data products for lakes in Europe, ARCLake_great_lakes.zip - data products for the North American Great Lakes, ARCLake_n_america.zip - data products for all other lakes in North America, ARCLake_s_america.zip - data products for lakes in South America. Due to size limitations, data products for the Caspian Sea are stored separately across two zip archives: ALID0001_OBS.zip (observations) and ALID0001_REC.zip (reconstructions). Documentation is provided in the following files: ARCLake_DPFL_v1_1_2.pdf - A full listing of the contents of each of the zip archives. ARCLake_DPD_v1_1_2.pdf - Detailed description of all data products. ARC-Lake-ATBD-v1.0.pdf - Algorithm theoretical basis document (ATBD)
ARC-Lake v1.1 - Global
No full textARC-Lake v1.1 - Global contains data products with global coverage, i.e. data for all (available) lakes are included in each product. These data products contain observations of Lake Surface Water Temperature (LSWT) and Lake Ice Cover (LIC) from the series of (Advanced) Along-Track Scanning Radiometers ((A)ATSRs). ARC-Lake v1.1 data products cover the period from 1st June 1995 to 31st December 2009.
A number of different data products are available and are grouped together into six zip archives, by product type. A summary of the types of data product available is given on http://datashare.is.ed.ac.uk/handle/10283/88 and full details of the file naming convention and file contents are given in the ARC-Lake Data Product Description document (ARCLake_DPD_v1_1_2.pdf). Note that not all types of data product available on a per-lake basis are available as a global product. A full listing of each zip archive is provided in the ARC-Lake Data Product File List (ARCLake_DPFL_v1_1_2.pdf). Details of the methods used and a list of all lakes and their locations are given in the ARC-Lake Algorithm Theoretical Basis Document (ARCLake_ATBD_v_1_1.pdf).
Additional information about the ARC-Lake project and some basic data analysis tools can be found on the project website: http://www.geos.ed.ac.uk/arclake/
Please cite both this dataset and the related publication:
* "MacCallum, Stuart N; Merchant, Christopher J. (2011). ARC-Lake v1.1 - Global, 1995-2009 [Dataset]. University of Edinburgh. School of GeoSciences / European Space Agency. https://doi.org/10.7488/ds/160."
* "MacCallum, S.N. and Merchant, C.J. (2012) Surface water temperature observations of large lakes by optimal estimation. Canadian Journal of Remote Sensing, 38 (1). pp. 25-45. ISSN 1712-7971 doi: 10.5589/m12-010"This dataset contains global data products (i.e. all lakes, where available, are included in each data file). The dataset is stored across 6 zip archives, covering unaveraged observation based data and averaged reconstruction based data. Details of the zip archive contents are as follows: ALID9999_DGOBS2D.zip - unaveraged observations for day-time ATSR2, ALID9999_DGOBS2N.zip - unaveraged observations for night-time AATSR observations, ALID9999_DGOBS3D.zip - unaveraged observations for day-time ATSR2, ALID9999_DGOBS3N.zip - unaveraged observations for night-time AATSR
ARC-Lake v2.0 - Per-Lake
No full textARC-Lake v2.0 - Per-Lake contains data products on a lake-by-lake basis. These data products contain observations of Lake Surface Water Temperature (LSWT) and Lake Ice Cover (LIC) from the series of (Advanced) Along-Track Scanning Radiometers ((A)ATSRs). ARC-Lake v2.0 data products cover the period from 1st August 1991 to 31st December 2011.
A number of different data products are available for each lake and are grouped together into a zip archive for each lake. A summary of the types of data product available is given on http://datashare.is.ed.ac.uk/handle/10283/88 and full details of the file naming convention and file contents are given in the ARC-Lake Data Product Description document (ARCLake_DPD_v1_1_2.pdf). Individual lake archives are grouped into larger zip archives by continent (with the exception of the Caspian Sea). Details of the methods used and a list of all lakes and their locations are given in the ARC-Lake Algorithm Theoretical Basis Document (ARC-Lake-ATBD-v1.3.pdf).
Additional information about the ARC-Lake project and some basic data analysis tools can be found on the project website: http://www.geos.ed.ac.uk/arclake
Please cite both this dataset and the related publication:
* "MacCallum, Stuart N; Merchant, Christopher J. (2013). ARC-Lake v2.0 - Per-Lake, 1991-2011 [Dataset]. University of Edinburgh. School of GeoSciences / European Space Agency. https://doi.org/10.7488/ds/161."
* "MacCallum, S.N. and Merchant, C.J. (2012) Surface water temperature observations of large lakes by optimal estimation. Canadian Journal of Remote Sensing, 38 (1). pp. 25-45. ISSN 1712-7971 doi: 10.5589/m12-010"This dataset contains data products on a lake-by-lake basis. Lakes have been grouped by continents in the following zip archives: ARCLake_africa.zip - data products for lakes in Africa, ARCLake_asia_oceania.zip - data products for lakes in Asia/Oceania, ARCLake_europe.zip - data products for lakes in Europe, ARCLake_great_lakes.zip - data products for the North American Great Lakes, ARCLake_n_america.zip - data products for all other lakes in North America, ARCLake_s_america.zip - data products for lakes in South America, ALID0001.zip - data products for the Caspian Sea. ARCLake_DPD_v1_1_2.pdf - Detailed description of all data products. ARC-Lake-ATBD-v1.3.pdf - Algorithm theoretical basis document (ATBD)
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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