1,721,080 research outputs found
Replication Data for: Abundance of arthropods as food for meadow bird chicks in response to short- and long-term soil wetting in Dutch dairy grasslands
The dataset consists of five text files:
File 20170608_transect_data_QRY: data on soil temperature, moisture and resistance collected during the three surveys
File landscape_context: land category classification and CSAR values used for the quantification of landscape use
File pitfall2017: arthropod samples from pitfall traps
File sticky2017: arthropod samples from sticky traps
Temperatures: temperature data from ibuttons
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Replication Data for: Quantifying landscape-level land use intensity patterns through radar-based remote sensing
The data package consists of four (zipped) folders and this metadata file:
FINAL DATA
--> Godwit Early Establishement - Data collected by a large team lead by Professor Theunis Piersma (permission to use this data). Folder contains the locations of black tailed godwits counts early 1 March to 1 May 2016. Data were used to calculate habitat selection indices of early establishing black-tailed godwits.
--> LogRatio_Date_Pairs
Log ratio change detection analyses carried out on Sentinel SAR1 data clipped out for the south-west Friesland study site. Used to produce Table 1, Figure 1c &d, Fig 3 and Fig 6
--> Processed Modis EVI, Comparison between Sentinel Radar and Optical Modis EVI
Data used to produce figure 1a & b
--> Processed_Radar_Imagery, contains the variance in Sentinel Radar and standard deviation of change in Sentinel Radar values between 31 March and 17 July 2016
--> Shapefiles, contains all point, line and polygon shapefiles used to intersect the spatial analysis data.
--> StDev_LogRatioChange31Mar_17Jul2016, standard deviation of change in Sentinel Radar values between 31 March and 17 July 2016 - used in final ESRI mxd file to produce figures 3a and 6a
--> Temperature_Stavoren, downloaded from KNMI website and used to produce temperature variation in Figure 1a & 1c
--> two data files
parcel55_combined_veg_radar_evi.txt
parcel55_detailed_transects_2016.txt
compiled data used to produce figures 4 and 5
FINAL FIGURES
Final high quality figures produced for the final print.
FINAL MAP PROJECTS
Esri (ArcMap 10.3) map Project used to produce figures 3a & 6a.
FINAL SCRIPTS
R version 3.4.0, R Studio 5.4.1
Analysis scripts used to produce the figures for this manuscript and labelled as such.
In addition a pre-processing script that allows the user to stack Sentinel SAR1 data after it has been downloaded from the Sentinel Scientific Hub and processed with SNAP v6.0. Add orbit file > ratiometric calibration > geometric terrain correction</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Are they even there? How agri-environment schemes investments reach their target species in Dutch dairy-farmland, the case of meadow birds
Agri-environmental schemes (AES) implemented by farmer collectives for meadow bird protection in The Netherlands create complex landscape mosaics due to the variability of options and combinations farmers use. We propose a method to simplify this complexity, using the number of meadow birds potentially benefiting as the measure of success, and evaluate how AES combinations affect management success as a function of monetary investments. Between 2016 and 2022, we conducted field surveys to measure the density and distribution of Black-tailed Godwits across three land-use types: AES, site-protected areas, and intensive agriculture. AES fields were categorized into nest protection, inundation, delayed mowing, and herb-rich grasslands. We analysed the relationship between these managements, the area they cover, and godwit numbers, while also examining land area and subsidies. Intensive agriculture covered 74.3 % of the area but hosted only 23.2 % of the godwit population at low densities (0.063 godwits/ha). In contrast, protected areas (6.2 % of the area) and AES fields (19.5 %) supported 24.7 % and 52.1 % of the population at higher densities (0.48 and 0.46 godwits/ha, respectively). Among AES types, delayed mowing and herb-rich grasslands showed the highest godwit densities (0.66 and 1.25 godwits/ha, respectively) covering smaller areas (6 % and 1.1 %). These AES types pay the highest subsidies, while nest protection, covering 10.5 % of the area with lower godwit densities, pays the lowest. Although AES fields hosted about half of the godwit population, area-wise the focus remained on nest protection, and with intensive agriculture dominated the landscape. This may limit effectiveness at a population level, calling for re-evaluating conservation priorities and funding.EEA BarilocheFil: Barba-Escoto, Luis. University of Groningen. Groningen Institute for Evolutionary Life Science. Conservation Ecology Group; Países BajosFil: Barba-Escoto, Luis. University of Groningen. Faculties of Science & Engineering and Campus Fryslân. Centre for Global Ecological Change. BirdEyes; Países BajosFil: Howison, Ruth Alison. University of Groningen. Groningen Institute for Evolutionary Life Science. Conservation Ecology Group; Países BajosFil: Howison, Ruth Alison. University of Groningen. Campus Fryslân. Knowledge Infrastructures Department; Países BajosFil: Howison, Ruth Alison. University of Groningen. Faculties of Science & Engineering and Campus Fryslân. Centre for Global Ecological Change. BirdEyes; Países BajosFil: Fokkema, Rienk W. University of Groningen. Groningen Institute for Evolutionary Life Science. Conservation Ecology Group; Países BajosFil: Fokkema, Rienk W. University of Groningen. Faculties of Science & Engineering and Campus Fryslân. Centre for Global Ecological Change. BirdEyes; Países BajosFil: Duriaux-Chavarría, Jean-Yves. University of Groningen. Groningen Institute for Evolutionary Life Science. Conservation Ecology Group; Países BajosFil: Stessens, Marie. University of Groningen. Groningen Institute for Evolutionary Life Science. Conservation Ecology Group; Países BajosFil: Stessens, Marie. University of Groningen. Faculties of Science & Engineering and Campus Fryslân. Centre for Global Ecological Change. BirdEyes; Países BajosFil: Velde, Egbert van der. University of Groningen. Groningen Institute for Evolutionary Life Science. Conservation Ecology Group; Países BajosFil: Velde, Egbert van der. University of Groningen. Faculties of Science & Engineering and Campus Fryslân. Centre for Global Ecological Change. BirdEyes; Países BajosFil: Hooijmeijer, Jos C.E.W. University of Groningen. Groningen Institute for Evolutionary Life Science. Conservation Ecology Group; Países BajosFil: Hooijmeijer, Jos C.E.W. University of Groningen. Faculties of Science & Engineering and Campus Fryslân. Centre for Global Ecological Change. BirdEyes; Países BajosFil: Piersma, Theunis. University of Groningen. Groningen Institute for Evolutionary Life Science. Conservation Ecology Group; Países BajosFil: Piersma, Theunis. NIOZ Royal Netherlands Institute for Sea Research. Department of Coastal Systems; Países BajosFil: Piersma, Theunis. University of Groningen. Faculties of Science & Engineering and Campus Fryslân. Centre for Global Ecological Change. BirdEyes; Países BajosFil: Tittonell, Pablo Adrian. University of Groningen. Groningen Institute for Evolutionary Life Science. Conservation Ecology Group; Países BajosFil: Tittonell, Pablo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Tittonell, Pablo Adrian. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Variations on the Author
“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
We 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
We 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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