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SAXS data of GDAP1 delta303-358 wild-type protein
<p>SEC-SAXS data of GDAP1 delta303-358 wild-type protein. The compressed files contain a directory containing the buffer and sample frames. The directory should open in ATSAS chromixs for data reduction.</p>
GWAS Summary Statistics of 7 chronic pain types
<p>Summary Statistics obtained from .fastGWA files after running GWAS analyses using GCTA package for 7 chronic pain types: back, neck, hip, knee, facial and abdominal pain as well as chronic headaches.</p>
Teleas phalaenarum Nees, female (non-type), NHMW-HYM#0005393
<p><em>Teleas phalaenarum</em> Nees 1834: 287, 435</p> <p><em>Telenomus phalaenarum</em> (Nees,1834)</p> <p>The neotype label is misleading - a neotype designation was never published, and would be invalid anyway, since there are known syntypes at the Oxford University Museum of Natural History.</p>
Dataset of Thermography captures the differential sensitivity of dryland functional types to changes in rainfall event timing and magnitude
<p>The folder contains all data that have been used in the article "<strong>Thermography captures the differential sensitivity of dryland functional types to changes in rainfall event timing and magnitude" </strong>published in the "New Phytologist" journal.</p> <p>https://doi.org/10.1111/nph.19127</p>
Endingless Locatives in Vedic Sanskrit by Stress Type
<p>Data for the forthcoming paper "The Unexceptional Stress of the 'Endingless Locative' in Indo-European" (to appear in the <em>Proceedings of the 33rd Annual UCLA Indo-European Conference</em>). Collection of attested "endingless locatives" in Vedic Sanskrit, organized by paradigmatic stress type and whether their stress pattern is consistent with the principles hypothesized in the paper.</p>
Result of COJO analysis on 7 chronic pain types
<p>JMA files were obtained from COJO analysis ran across 7 chronic pain types: neck, back, hip, knee, abdominal, and facial and headaches. I used the GCTA-COJO tool along with the summary statistics uploaded in this repository and a reference panel produced using our bgen files from UKB. There are only 6 files uploaded as there were no SNPs returned from the COJO analysis for the chronic facial pain phenotype.</p>
Replication Data for "How Do Different Types of Testing Goals Affect Test Case Design?"
<p># Replication Data for "How Do Different Types of Testing Goals Affect Test Case Design?"</p> <p>## Overview</p> <p>Background: Test cases are designed in service of one or more goals, e.g., assessing functional correctness or performance. We lack a clear understanding of how specific goal types influence test design.</p> <p>Aims: We explore the relationship between types of testing goals and test design, including identification and importance of goal types, quantitative relations between goal types and test cases, and personal, organizational, methodological, and technological factors that may influence this relationship.</p> <p>Method: We have conducted both qualitative and quantitative analysis of interviews and a survey with software developers in various domains and of varying experience.</p> <p>Results: We identify nine goal types, and focus on correctness, reliability, and quality. We observe that test design for correctness forms a "default" design process that is modified when pursuing other goals. For the examined goal types, test cases tend to be simple, with many tests targeting a single goal and each test focusing on 1-2 goals at a time. Testers often start by using past tests as templates. Testing practices, tools, and system types of interest vary between goal types. Test design can be influenced by organization, process, and team makeup.</p> <p>Conclusions: This study provides a foundation for future research on test case design and testing goals.</p> <p>The paper can be found at http://greg4cr.github.io/pdf/23goals.pdf </p> <p>## Data Contained in This Package</p> <p>- thematic_coding.pdf</p> <p>This is the theme map created from the interview data. We extracted important statements from the interviews (codes) and clustered them into themes and sub-themes.</p> <p>- survey_responses.pdf</p> <p>This file contains all survey responses.</p> <p>Both interview and survey data has been anonymized to protect the privacy of the participants.</p>
Crystal Structure Solution and High Temperature Thermal Expansions of NaZr2(PO4)3-type Materials
<p>The NaZr<sub>2</sub>P<sub>3</sub>O<sub>12 </sub>(NZP) family<sub> </sub>of materials have shown low and tailorable thermal expansion properties. This dataset includes SrZr<sub>4</sub>P<sub>6</sub>O<sub>24</sub>, CaZr<sub>4</sub>P<sub>6</sub>O<sub>24</sub>, NaTi<sub>2</sub>P<sub>3</sub>O<sub>12</sub>, NaZr<sub>2</sub>P<sub>3</sub>O<sub>12</sub>, MgZr<sub>4</sub>P<sub>6</sub>O<sub>24</sub>, and related solid solutions. These materials were synthesized using the organic-inorganic steric entrapment method. The samples were characterized with in-situ high-temperature x-ray diffraction at the Advanced Photon Source and National Synchrotron Light Source II from 25 to 1500 ℃. The average linear thermal expansion of SrZr<sub>4</sub>P<sub>6</sub>O<sub>24</sub> and CaZr<sub>4</sub>P<sub>6</sub>O<sub>24</sub> was between -1 x10<sup>-6</sup>/℃ and 6 x10<sup>-6</sup>/℃ from 25 to 1500 ℃. High temperature polymorphs of CaZr<sub>4</sub>P<sub>6</sub>O<sub>24</sub> and SrZr<sub>4</sub>P<sub>6</sub>O<sub>24</sub> were solved by Fourier difference mapping and Rietveld refinement. This polymorph is present above about 1250 ℃. This work measured thermal expansion coefficients to 1500 ℃ for all samples and investigated the differences in thermal expansion mechanisms between polymorphs and between compositions. </p>
Secondary data: Describing the Status Quo of Person-Centred Dementia Care within Different Types of Care Units in German Nursing Homes
<p>This is the secondary data set and R-Code of R statistical software (version 4.2.1) to investigate the differences and commonalities in the existence of policies regarding person-centred dementia care (PCDC) measured with the Dementia Policy Questionnaire (DemPol-Q) in different care unit types in German nursing homes using a contingency table and Fisher’s exact test. The data from the secondary data analysis were collected in the “BeStaDem” Survey Study, funded by the German Research Foundation (DFG, project number: 430919791), and performed by Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) e.V., site Witten. This quantitative analysis is one part of the article “Describing the Status Quo of Person-Centred Dementia Care within Different Types of Care Units in German Nursing Homes – A Convergent Mixed Methods Study”.</p>
Fig. 4 in New type of xiphidiocercariae (Digenea: Microphalloidea) from South Vietnam
Fig. 4. Phylogenetic position of Cercaria cattieni 1 within the Microphalloidea based on 28S rDNA sequence data analysis with Bayes- ian inference. Posterior probabilities are printed next to nodes; scale bar shows substitution rate.
Fig. 3 in New type of xiphidiocercariae (Digenea: Microphalloidea) from South Vietnam
Fig. 3. Toluidine blue staining of Cercaria cattieni 1. A – cercarial embryo, lateral view, early stage of mucoid glands (mg) formation; B – cercarial embryos at different stage, metachromatic staining shows mucoid glands; C – later cercarial embryo (tail lost during fixation), metachromatic staining of mucoid glands with numerous dendrites; D – mucoid staining of stylet pouch; E – mucoid on the surface of the fore region; F, G – mucoid in the midbody, beneath musculature and tegument; ventral nerve chords (vnc) are visible among mucoid; H – midbody, mucoid transferred to the tegument. os – oral sucker; vs – ventral sucker; t – tail. A, D, E, G, H – differential interference contrast.
Fig. 1. Cercaria cattieni 1. A in New type of xiphidiocercariae (Digenea: Microphalloidea) from South Vietnam
Fig. 1. Cercaria cattieni 1. A – sporocyst; B–F – cercariae; B – body structure; C – general view; D, E – stylet, ventral (D) and lateral (E) view; F – scheme of cercarial embryo with mucoid glands (grey).
Рис. 26. Сравнение среΑних значений частоты изменчивости эΛементов рисунка и инΑекса пигментации Mesobuthus eupeus в посеΛениях из разнотипных (А) и оΑнотипных (В) биотопов в кажΑой из выборок: I – Северо-ЗапаΑный Гобустан; II – Северо-Восточный Гобустан; III – ЦентраΛьный Гобустан; IV – Юго-Восточный Гобустан; V – Юго-Восточный Ширван. ИнΑекс корреΛяции r в преΑеΛах 0.744–0.989; p <0.05. Fig. 26. Comparison of the average values of the frequency of variability of pattern elements and the pigmentation index of Mesobuthus eupeus in conglomerations from habitats of different types (A) and of the same type (B) in each sample: I – northwestern Gobustan; II – northeastern Gobustan; III – central Gobustan; IV – southeastern Gobustan; V – southeastern Shirvan. Correlation index r = 0.744–0.989; p <0.05. in Materials on the colour pattern variability of Mesobuthus eupeus (C.L. Koch, 1839) (Arachnida: Scorpiones) in southeastern Shirvan and Gobustan (Eastern Azerbaijan)
Рис. 26. Сравнение среΑних значений частоты изменчивости эΛементов рисунка и инΑекса пигментации Mesobuthus eupeus в посеΛениях из разнотипных (А) и оΑнотипных (В) биотопов в кажΑой из выборок: I – Северо-ЗапаΑный Гобустан; II – Северо-Восточный Гобустан; III – ЦентраΛьный Гобустан; IV – Юго-Восточный Гобустан; V – Юго-Восточный Ширван. ИнΑекс корреΛяции r в преΑеΛах 0.744–0.989; p <0.05. Fig. 26. Comparison of the average values of the frequency of variability of pattern elements and the pigmentation index of Mesobuthus eupeus in conglomerations from habitats of different types (A) and of the same type (B) in each sample: I – northwestern Gobustan; II – northeastern Gobustan; III – central Gobustan; IV – southeastern Gobustan; V – southeastern Shirvan. Correlation index r = 0.744–0.989; p <0.05.
Рис. 2. Ширина трофической ниши паукообразных в биотопах трех типов: I – поΛупустынная равнина; II – каменистые скΛоны пΛато; III – ΔоΛина со скопΛениями скаΛьных останцев. Fig. 2. The width of the trophic niche of arachnids in biotopes of three types: I – semidesert plain; II – stony slopes of the plateau; III – valley with clusters of rocks. in Comparison of trophic spectra and hunting strategies of some large arachnids (Arachnida: Scorpiones, Solifugae, Aranei) in semi-desert biocenoses of Gobustan (Eastern Azerbaijan)
Рис. 2. Ширина трофической ниши паукообразных в биотопах трех типов: I – поΛупустынная равнина; II – каменистые скΛоны пΛато; III – ΔоΛина со скопΛениями скаΛьных останцев. Fig. 2. The width of the trophic niche of arachnids in biotopes of three types: I – semidesert plain; II – stony slopes of the plateau; III – valley with clusters of rocks.
DATASET Skin-Based Vaccination: A Systematic Mapping Review of the Types of Vaccines and Methods Used and Immunity and Protection Elicited in Pigs
<p>Dataset listing all publications used in systematic mapping review. This file contains the dataset, a dictionary and values worksheets for the following publication: </p> <p>Skin-Based Vaccination: A Systematic Mapping Review of the Types of Vaccines and Methods Used and Immunity and Protection Elicited in Pigs.</p> <p>Vaccines 2023</p> <p><a href="https://pubmed.ncbi.nlm.nih.gov/?sort=date&size=200&term=C%C3%B3-Rives+I&cauthor_id=36851328">Inés Có-Rives</a> <a href="https://pubmed.ncbi.nlm.nih.gov/36851328/#full-view-affiliation-1">1</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/?sort=date&size=200&term=Chen+AY&cauthor_id=36851328">Ann Ying-An Chen</a> <a href="https://pubmed.ncbi.nlm.nih.gov/36851328/#full-view-affiliation-1">1</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/?sort=date&size=200&term=Moore+AC&cauthor_id=36851328">Anne C Moore</a> <a href="https://pubmed.ncbi.nlm.nih.gov/36851328/#full-view-affiliation-1">1</a></p> <ul> <li>PMID: 36851328</li> <li>PMCID: <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/pmc9962282/">PMC9962282</a></li> <li>DOI: <a href="https://doi.org/10.3390/vaccines11020450">10.3390/vaccines11020450</a></li> </ul> <p>The advantages of skin-based vaccination include induction of strong immunity, dose-sparing, and ease of administration. Several technologies for skin-based immunisation in humans are being developed to maximise these key advantages. This route is more conventionally used in veterinary medicine. Skin-based vaccination of pigs is of high relevance due to their anatomical, physiological, and immunological similarities to humans, as well as being a source of zoonotic diseases and their livestock value. We conducted a systematic mapping review, focusing on vaccine-induced immunity and safety after the skin immunisation of pigs. Veterinary vaccines, specifically anti-viral vaccines, predominated in the literature. The safe and potent skin administration to pigs of adjuvanted vaccines, particularly emulsions, are frequently documented. Multiple methods of skin immunisation exist; however, there is a lack of consistent terminology and accurate descriptions of the route and device. Antibody responses, compared to other immune correlates, are most frequently reported. There is a lack of research on the underlying mechanisms of action and breadth of responses. Nevertheless, encouraging results, both in safety and immunogenicity, were observed after skin vaccination that were often comparable to or superior the intramuscular route. Further research in this area will underlie the development of enhanced skin vaccine strategies for pigs, other animals and humans.</p> <p><strong>Keywords: </strong>epicutaneous; epidermal; intradermal; needle-free; percutaneous; pig; skin; transcutaneous; transdermal; vaccine.</p>
Timeline of generative models by type
<p>Timeline of generative models by type. Part of the study "What do we mean by GenAI?"</p>
Fig. 8. Peruvian vegetation types. A. Amazonian forest, Pasco Region. B. Northwest Peruvian montane forest, Piura Region. C. Dry forest, Piura Region. D in The genus Begonia (Begoniaceae) in Peru
Fig. 8. Peruvian vegetation types. A. Amazonian forest, Pasco Region. B. Northwest Peruvian montane forest, Piura Region. C. Dry forest, Piura Region. D. Lomas, Lima Region. All photographs taken by P.W. Moonlight.
Data for investigation of cell-type-specific expression and regulation in Setbp1 (p.S858R) atypical SGS male mice
<p><strong>processed.tar.gz, contains all files from the data directory associated with this projects and includes the following:</strong></p> <ul> <li><strong>setbp1_targets.csv</strong> : list of human SETP1 gene targets from ChIP-seq experiments converted to mouse and enriched for additional interactions from literature references (https://pubmed.ncbi.nlm.nih.gov/35685777/ and https://www.nature.com/articles/s41467-018-04462-8, </li> <li><strong>seurat_objects/</strong> <ul> <li><strong>kidney_integrated_celltypes.Rdata </strong>: filtered and preprocessed seurat object with cell type assignments for input to SoupX processing</li> <li><strong>kidney_integrated_celltypes_postSoup.Rdata</strong> : preprocessed and quality controlled seurat object with final cell type assignments after SoupX processing</li> <li><strong>setbp1_cerebralintcelltypes.Rdata</strong> : preprocessed and quality controlled seurat object with final cell type assignments</li> </ul> </li> <li><strong>decoupleR_CollecTRI/</strong> <ul> <li><strong>mouse_prior_tri.csv</strong> : accessed May 2023, it is unclear how versioning or accessions are used so we provided the Mouse CollecTRI (https://github.com/saezlab/CollecTRI) used in this study to calculate cell-type-specific TF activity</li> </ul> </li> <li><strong>motif_inputs/</strong> <ul> <li><strong>Mus_motif_all.txt </strong>: TF-motif PANDA input for mm10 reference genome enriched for</li> </ul> </li> <li><strong>expression_inputs/</strong> : expression matrices for all cell types for both tissues and conditions (n = 50) used to construct cell-type-specific PANDA networks</li> </ul> <p><strong>The below files are from the data/results directory of this associated project and include the following:</strong></p> <ul> <li><strong>alpaca.tar.gz</strong> : directory containing differential community analysis outputs from ALPACA</li> <li><strong>seurat.tar.gz </strong>: directory containing SoupX intermediates, as well as the</li> </ul>
FIG. 4 in Lichen community assemblages and functional traits as indicators of vegetation types in central Mexico, based on herbarium specimens
FIG. 4. — Community weighted mean proportions of functional traits for each vegetation type: A, growth forms; B, substrate; C, reproductive structure types; D, photobionts.
FIG. 3 in Lichen community assemblages and functional traits as indicators of vegetation types in central Mexico, based on herbarium specimens
FIG. 3. — Ordination and clustering of lichen communities from the different vegetation types: A, non-parametric multidimensional scaling (NDMS); B, cluster analysis dendrogram. The sites Cerro el Capulín and Cerro Juan el Grande show different affinities in both analyses (part of the xerophytic shrubland in the NDMS, but more similar to the Quercus L. forest in the dendrogram, labeled as the Xerophytic-Quercus group in the latter).
ScienceDex guides
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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.