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10,119 results for “IT Support”
bachelor-thesis: Rapid Review - Identified Tools to Support SLR Including Features and Supported Stages
<p>This item presents the identified tools to support SLR and the supported stages and features of these tools.</p>
Supporting publication for 'Prevalence sample-based guidance for reporting 2020 data'
<p>These two Excel documents help in mapping terms from the matrix catalogue ZOO_CAT_MATRIX used in the aggregated prevalence data model to FoodEx2 codes and offer examples on how prevalence data can be reported using SSD2.</p>
Data from: Bringing multivariate support to multiscale codependence analysis: assessing the drivers of community structure across spatial scales
1. Multiscale codependence analysis (MCA) quantifies the joint spatial distribution of a pair of variables in order to provide a spatially-explicit assessment of their relationships to one another. For the sake of simplicity, the original definition of MCA only considered a single response variable (e.g. a single species). However, that definition would limit the application of MCA when many response variables are studied jointly, for example when one wants to study the effect of the environment on the spatial organisation of a multi-species community in an explicit manner. 2. In the present paper, we generalize MCA to multiple response variables. We conducted a simulation study to assess the statistical properties (i.e. type I error rate and statistical power) of multivariate MCA (mMCA) and found that it had honest type I error rate and sufficient statistical power for practical purposes, even with modest sample sizes. We also exemplified mMCA by applying it to two ecological data sets. 3. The simulation study confirmed the adequacy of mMCA from a statistical standpoint: it has honest type I error rates and sufficient power to be useful in practice. Using mMCA, we were able to detect variation in fish community structure along the Doubs River (in France), which was associated with large spatial structures in the variation of physical and chemical variables related to water quality. Also, mMCA usefully described the spatial variation of an Oribatid mite community structure associated with a gradient of water content superimposed on various smaller-scale spatial features associated with vegetation cover in the peat blanket surrounding Lac Geai (in Québec, Canada). 4. In addition to demonstrating the soundness of mMCA in theory and practice, we further discuss the strengths and assumptions of mMCA and describe other potential scenarios where it would be helpful to biologists interested in assessing influence of environmental conditions on community structure in a spatially-explicit way.
Data from: Spider webs, stable isotopes and molecular gut content analysis: multiple lines of evidence support trophic niche differentiation in a community of Hawaiian spiders
1. Adaptive radiations are typically characterized by niche partitioning among their constituent species. Trophic niche partitioning is particularly important in predatory animals, which rely on limited food resources for survival. 2. We test for trophic niche partitioning in an adaptive radiation of Hawaiian Tetragnatha spiders, which have diversified in situ on the Hawaiian Islands. We focus on a community of nine species belonging to two different clades, one web building and the other actively hunting, which co-occur in wet forest on East Maui. We hypothesize that trophic niches differ significantly both 1) among species within a clade, indicating food resource partitioning, and 2) between the two clades, corresponding with their differences in foraging strategy. 3. To assess niches of the spider species, we measure a) web architecture, the structure of the hunting tool, and b) site choice, the physical placement of the web in the habitat. We then test whether differences in these parameters translate into meaningful differences in trophic niche by measuring c) stable isotope signatures of carbon and nitrogen in the spiders' tissues, and d) gut content of spiders based on metabarcoding data. 4. We find significant interspecific differences in web architecture and site choice. Importantly, these differences are reflected in stable isotope signatures among the five web-building species, as well as significant isotopic differences between web-builders and active hunters. Gut content data also show interspecific and inter-clade differences. Pairwise overlaps of web architecture between species are positively correlated with overlaps of isotopic signature. 5. Our results reveal trophic niche partitioning among species within each clade, as well as between the web-building and actively hunting clades. Based on the correlation between web architecture and stable isotopes, it appears that the isotopic signatures of spiders' tissues are influenced by architectural differences among their webs. Our findings indicate an important link between web structure, microhabitat preference and diet in the Hawaiian Tetragnatha.
Data from: Delimitation of the new tribe Parartocarpeae (Moraceae) is supported by a 333- gene phylogeny and resolves tribal level Moraceae taxonomy
Here we describe the new tribe, Parartocarpeae, within the Moraceae (mulberry family). The tribe comprises two small Malesian genera, Parartocarpus and Hullettia, and brings the total number of Moraceae tribes to seven. Evidence for this new designation comes from a phylogeny based on 333 nuclear genes sequenced using target enrichment via hybridization (hybseq). Morphological characters that set Parartocarpeae apart from other Moraceae tribes include the combination of the following characters: lateral nonamplexicaul stipules, spirally arranged leaves without annulate stipule scars, the presence of a single layer of involucral inflorescence bracts, and the lack of perianth tissue, wherein flowers are embedded in cavities of the receptacle. With the designation of Parartocarpeae, the tribe-level circumscription of Moraceae is now well-supported by phylogenetic methods. Because the phylogenetic markers employed here work well throughout Moraceae, they can facilitate much needed work at the genus level in the family.
Data from: Isotopic niches support the resource breadth hypothesis
Because a broad spectrum of resource use allows species to persist in a wide range of habitat types, and thus permits them to occupy large geographical areas, and because broadly distributed species have access to more diverse resource bases, the resource breadth hypothesis posits that the diversity of resources used by organisms should be positively related with the extent of their geographic ranges. We investigated isotopic niche width in a small radiation of South American birds in the genus Cinclodes. We analysed feathers of 12 species of Cinclodes to test the isotopic version of the resource breadth hypothesis and to examine the correlation between isotopic niche breadth and morphology. We found a positive correlation between the widths of hydrogen and oxygen isotopic niches (which estimate breadth of elevational range) and widths of the carbon and nitrogen isotopic niches (which estimates the diversity of resources consumed, and hence of habitats used). We also found a positive correlation between broad isotopic niches and wing morphology. Our study not only supports the resource breadth hypothesis but it also highlights the usefulness of stable isotope analyses as tools in the exploration of ecological niches. It is an example of a macroecological application of stable isotopes. It also illustrates the importance of scientific collections in ecological studies.
Data from: Experimental evidence does not support the Habitat Amount Hypothesis
For a half century, habitat configuration – the arrangement of habitat patches within a landscape – has been central to theories of landscape ecology, population dynamics, and community assembly, in addition to conservation strategies. A recent hypothesis advanced by Fahrig (2013) would, if supported, greatly diminish the relevance of habitat configuration as a predictor of diversity. The Habitat Amount Hypothesis posits that the sample area effect overrides patch size and patch isolation effects of habitat fragmentation on species richness. It predicts that the amount of habitat in a local landscape, regardless of configuration, is the main landscape-level determinant of species richness. If habitat amount is indeed the major, landscape-level driver of species richness, the slopes of the species–area relationship (SAR) for otherwise similar fragmented and unfragmented landscapes should be indistinguishable. We tested the Habitat Amount Hypothesis with data from two replicated and controlled habitat fragmentation experiments that disentangle the effects of habitat amount and configuration. One experiment provided time-series data on plant species richness and the other on micro-arthropod species richness. We found that, relative to less fragmented habitats, the SARs for fragmented habitats have significantly higher slopes and that the magnitude of the difference in slopes increased over time. Relatively more species were lost in smaller areas when fragments were more isolated. In both experiments, the proportion of species lost due to increased habitat fragmentation was nearly identical to the proportion lost due to reduced habitat amount. Our results provide a direct and experimentally derived refutation of the Habitat Amount Hypothesis, supporting the long-held view that in addition to area, patch isolation and configuration are important determinants of species richness. Differences in species richness between fragmented and non-fragmented habitats increase over time, demonstrating that long-term studies are needed to understand the effects of fragmentation, above and beyond the amount of habitat lost.
Data from: Latitudinal patterns of herbivore pressure in a temperate herb support the biotic interactions hypothesis
The longstanding biotic interactions hypothesis predicts that herbivore pressure declines with latitude, but the evidence is mixed. To address gaps in previous studies, we measured herbivory and defense in the same system, quantified defense with bioassays, and considered effects of leaf age. We quantified herbivory and defense of young and mature leaves along a continental gradient in eastern North America in the native herb Phytolacca americana. Herbivory in the field declined with latitude and was strongly correlated with Lepidopteran abundance. Laboratory bioassays revealed that leaf palatability was positively correlated with latitude of origin. Young leaves were more damaged than mature leaves at lower latitudes in the field, but less palatable in bioassays. Both defense and palatability displayed non-linear latitudinal patterns, suggesting potential mechanisms based on biological or climatic thresholds. In sum, observational and experimental studies find patterns consistent with high herbivore pressure and stronger plant defenses at lower latitudes.
Supporting Information for Responses of Biogenic Dimethylated Sulfur Compounds to the Environmental Changes in the East China Sea
<p>This file contained the datasets of Figure 1, Figure 2, Figure 3, Figure S3, and Figure S4 discussed in the publication “Responses of Biogenic Dimethylated Sulfur Compounds to the Environmental Changes in the East China Sea”. There are:</p> <ol> <li>The pH, the concentrations of nitrate and phosphate in the spring 2017 experiment and summer 2018 experiment. The concentrations of organic nitrogen in the spring 2017 experiment.</li> <li>The Chl-a concentrations and the relative abundance of diatom and dinoflagellate in the spring 2017 experiment and summer 2018 experiment.</li> <li>The concentrations of DMS, DMSPd, DMSPp and DMSO in the spring 2017 experiment and summer 2018 experiment.</li> <li>The DMSPd loss rate and DMS production rate in the spring 2017 experiment and summer 2018 experiment.</li> </ol> <p>Ma, Q. Y., Zhang, H. H., Yang, G. P. (2021). Responses of Biogenic Dimethylated Sulfur Compounds to the Environmental Changes in the East China Sea. Submitted to Geophysical Research Letters.</p>
CURTA CALCULATOR MODEL I - Support Us
Curt Herzstark created this calculator in 1943 inside the Buchenwald concentration camp after nazis obliged him to work on this project so he can stay alive inside this nightmare. He was liberated in april 11, 1945. It was known as the "Math Grenade" because it's size. "While I was imprisoned inside Buchenwald I had, after a few days, told the [people] in the work production scheduling department of my ideas. The head of the department, Mr. Munich said, 'See, Herzstark, I understand you've been working on a new thing, a small calculating machine. Do you know, I can give you a tip. We will allow you to make and draw everything. If it is really worth something, then we will give it to the Führer as a present after we win the war. Then, surely, you will be made an Aryan.' For me, that was the first time I thought to myself, my God, if you do this, you can extend your life. And then and there I started to draw the CURTA, the way I had imagined it" CURT HERZSTARK Source: Objaverse 1.0 / Sketchfab
Support pad for a vessel carried on the head
ID no.: MOK – M.O./A/346 Museum: African Museum in Olkusz https://muzea.malopolska.pl/en/objects-list/1921 Digitalisation: RDW MIC, Virtual Małopolska project Source: Objaverse 1.0 / Sketchfab
Rock with stick supports
A photogrammetry model of a overhanging rock, where people leave sticks for support. Don't know the story, but it looks like lots of people put their own stick support all along the hanging wall. I share this model for free :) Source: Objaverse 1.0 / Sketchfab
Krunker Support Gun
These gun is make by ccy131006. Bullet and rig by Black Plasma Studio and fixed by Henry Podo Fix and remake by Henry Podo Using this in your Krunker Animation or Any other animation contain gun. These gun are fixed enough for you to use with gun shot inside without adding footage. And I work on this for 5 hours and have to sleep late for doing this. Source: Objaverse 1.0 / Sketchfab
Supporting data for: A linear response, DFT+U study of trends in the oxygen evolution activity of transition metal rutile dioxides
<p>This directory contains all of the finished calculations required for fully analysis of the paper "A linear response, DFT+U study of trends in the oxygen evolution activity of transition metal rutile dioxides" by Zhongnan Xu, Jan Rossmeisl, and John R Kitchin. To use this repository, download the supporting information file and run the scripts present in either 'supporting-information.pdf' or 'supporting-information.org'.</p> <p>The is the release of the supporting data before the first submission to the first journal.</p>
Supporting data for Open government data for regulation of energy resources in India
<p>This dataset contains supporting tables from the paper "Open government data for regulation of energy resources in India" published as part of the Exploring the Emerging Impacts of Open Data in Developing Countries project.</p> <p>Contextual information on each table is provided in the associated report.</p>
Experimental Data for: Research Perspective on Supporting Software Engineering via Physical 3D Models
<p>Experimental data for the experiment presented in the technical report 1507: "Research Perspective on Supporting Software Engineering via Physical 3D Models"</p>
Supporting data for: A close look at protein function prediction evaluation protocols
<p>Data files and predictions associated with the paper: A close look at protein function prediction evaluation protocols.</p>
Supporting data: The biogeographic origin of a radiation of trees in Madagascar: Implications for the assembly of a tropical forest biome
<p>This directory contains xml files (which in turn contain concatenated alignments), newick, and phylip formatted tree files. Code and scripts used for generating figures, phylogenies and biogeographic models is available on request.</p> <p>~/trees/ contains tree files and maximum clade credibility trees from the three phylogenetic inferences: 1) Canarieae with a fossil tip; 2) Canarieae with fossil nodes; and 3) Canarieae with fossil nodes, but without the Canarieae fossil node calibration. See the paper and supplemental text for more information.</p> <p>~/trees/RAxML/ contains the RAXML starter trees used </p> <p>~/xml_files/ contains the xml files used for Bayesian phylogenetic inference in BEAST for all three phylogenetic inferences (see above). Concatenated alignments of molecular data can be found within the xml files.</p>
Supporting information: Analysis of attentional bias towards attractive and unattractive body regions among overweight males and females: An eye-movement study.
<p>This is the data set as supporting information, provided as .csv file.</p> <p>Further information is available on request.</p>
Supporting datasets PubFig05 for: "Heterogeneous Ensemble Combination Search using Genetic Algorithm for Class Imbalanced Data Classification"
<p><strong>Faces Dataset: PubFig05</strong></p> <p>This is a subset of the ''PubFig83'' dataset [1] which provides 100 images each of 5 most difficult celebrities to recognise (referred as class in the classification problem). For each celebrity persons, we took 100 images and separated them into training and testing sets of 90 and 10 images, respectively:</p> <p><strong>Person: </strong>Jenifer Lopez; Katherine Heigl; Scarlett Johansson; Mariah Carey; Jessica Alba</p> <p> </p> <p><strong>Feature Extraction</strong></p> <p>To extract features from images, we have applied the HT-L3-model as described in [2] and obtained 25600 features.</p> <p><strong>Feature Selection</strong></p> <p>Details about feature selection followed in brief as follows:</p> <ol> <li> <p><strong>Entropy Filtering:</strong> First we apply an implementation of Fayyad and Irani's [3] entropy base heuristic to discretise the dataset and discarded features using the minimum description length (MDL) principle and only 4878 passed this entropy based filtering method.</p> </li> <li> <p><strong>Class-Distribution Balancing:</strong> Next, we have converted the dataset to binary-class problem by separating into 5 binary-class datasets using one-vs-all setup. Hence, these datasets became <em>imbalanced</em> at a ratio of 1:4. Then we converted them into <em>balanced binary-class</em> datasets using random sub-sampled method. Further processing of the dataset has been described in the paper.</p> </li> <li> <p><strong>(alpha,beta)-k Feature selection:</strong> To get a good feature set for training the classifier, we select the features using the approach based on the (alpha,beta)-k feature selection [4] problem. It selects a minimum subset of features that maximise both within class similarity and dissimilarity in different classes. We applied the entropy filtering and (alpha,beta)-k feature subset selection methods in three ways and obtained different numbers of features (in the Table below) after consolidating them into binary class dataset.</p> </li> </ol> <ul> <li> <p><strong>UAB:</strong> We applied (alpha,beta)-k feature set method on each of the balanced binary-class datasets and we took the <em>union</em> of selected features for each binary-class datasets. Finally, we applied the (alpha,beta)-k feature set selection method on each of the binary-class datasets and get a set of features.</p> </li> <li> <p><strong>IAB:</strong> We applied (alpha,beta)-k feature set method on each of the balanced binary-class datasets and we took the <em>intersection</em> of selected features for each binary-class datasets. Finally, we applied the (alpha,beta)-k feature set selection method on each of the binary-class datasets and get a set of features.</p> </li> <li> <p><strong>UEAB:</strong> We applied (alpha,beta)-k feature set method on each of the balanced binary-class datasets. Then, we applied the entropy filtering and (alpha,beta)-k feature set selection method on each of the balanced binary-class datasets. Finally, we took the <em>union</em> of selected features for each <em>balanced binary-class</em> datasets and get a set of features.</p> </li> </ul> <p>All of these datasets are inside the compressed folder. It also contains the document describing the process detail.</p> <p> </p> <p><strong>References</strong></p> <p>[1] Pinto, N., Stone, Z., Zickler, T., & Cox, D. (2011). Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook. In Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on (pp. 35–42).</p> <p>[2] Cox, D., & Pinto, N. (2011). Beyond simple features: A large-scale feature search approach to unconstrained face recognition. In Automatic Face Gesture Recognition and Workshops (FG 2011), 2011 IEEE International Conference on (pp. 8–15).</p> <p>[3] Fayyad, U. M., & Irani, K. B. (1993). Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning. In International Joint Conference on Artificial Intelligence (pp. 1022–1029).</p> <p>[4] Berretta, R., Mendes, A., & Moscato, P. (2005). Integer programming models and algorithms for molecular classification of cancer from microarray data. In Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38 (pp. 361–370). 1082201: Australian Computer Society, Inc.</p> <p> </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.