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zenodo32/100

FIGURES 7–11. Plectrocnemia renetta Malicky 1975, 5 in The larva of Plectrocnemia renetta Malicky 1975 (Trichoptera, Polycentropodidae), including a discriminatory matrix to the larvae of Plectrocnemia Stephens 1836 species of Greece

FIGURES 7–11. Plectrocnemia renetta Malicky 1975, 5th instar larva. 7, metathorax, right lateral (ad = anterodorsal seta (sa1); mp = metapleuron; pd = posterodorsal seta (sa2); pl = pleural seta (sa3)); 8, left foreleg, posterior (m = epimeron; s = episternum; t = foretrochantin; double arrow = projected half length of tibia); 9, right midleg, anterior; 10, right hind leg, anterior (mp = metapleuron; arrows = apical spurs on tibia); 11, abdominal segment V, right lateral (ad = anterodorsal seta (sa1); pd = posterodorsal seta (sa2); pl = pleural seta (sa3); v = ventral seta; dotted oval = lateral fringe). Scale bars: 0.5 mm.

opennotspecifiedMar 2019View details →
zenodo32/100

FIGURES 18–21. Figures 18–20. Plectrocnemia brevis McLachlan 1871, 5 in The larva of Plectrocnemia renetta Malicky 1975 (Trichoptera, Polycentropodidae), including a discriminatory matrix to the larvae of Plectrocnemia Stephens 1836 species of Greece

FIGURES 18–21. Figures 18–20. Plectrocnemia brevis McLachlan 1871, 5th instar larva: 18, abdominal segment IX, ventral (ip = innermost primary seta; op = outermost primary seta; p = intermediate primary setae); 19, abdominal segment IX, dorsal, posterolateral setal trio (is = inner secondary seta; os = outer secondary seta; p = primary seta); 20, head and prothorax, dorsal (dotted lines = half-trapezoidal pattern of spots on posterior frontoclypeus, about 85°). Figure 21. P. c. conspersa (Curtis 1834), 5th instar larva, head, dorsal (dotted curved line = shallow arc pattern of spots on posterior frontoclypeus, about 85°). Scale bars: 0.5 mm.

opennotspecifiedMar 2019View details →
zenodo32/100

FIGURES 1–6. Plectrocnemia renetta Malicky 1975, 5 in The larva of Plectrocnemia renetta Malicky 1975 (Trichoptera, Polycentropodidae), including a discriminatory matrix to the larvae of Plectrocnemia Stephens 1836 species of Greece

FIGURES 1–6. Plectrocnemia renetta Malicky 1975, 5th instar larva. 1, head and prothorax, dorsal (dotted lines = halftrapezoidal pattern of spots on posterior frontoclypeus, about 100°; small numerals refer to setal positions); 2, head and prosternum, ventral (a = anterior ventral apotome; ls – labial spinneret; ml = maxillary lobe; mp = maxillary palp; m = ventral process of epimeron; ss = submental sclerite; arrows = ventral processes of pronotum); 3, head and prothorax, right lateral (m = epimeron; s = episternum; t = foretrochantin); 4, labrum, dorsal (arrow = central pigmented mark); 5, mandibles, dorsal (a = apical tooth; arrows = subapical teeth); 6, mandibles, ventral (a = apical tooth; arrows = subapical teeth). Scale bars: 0.5 mm.

opennotspecifiedMar 2019View details →
zenodo32/100

Introducing a transition domain for describing the solute exchange between macropores/fractures and matrix in dual-permeability system

<p>出口 1 至 5 的浓度值和出口处的总浓度记录在"实验数据"中。图 8 至 10 中的仿真结果数据记录在"仿真结果"中。构建数值模型的方法记录在"数值模拟"中,需要 COMSOL Multiphysics 将其打开。</p>

opencc-by-4.0Nov 2023View details →
zenodo32/100

Plant-herbivorous-insect-incidence-matrix Mediterranean Mixed Forest

<p>Datasets for the presence/absence of sucking and chewing insects associated to dominant woody species from the Medirranean mixed forest.</p>

opencc-by-4.0Feb 2024View details →
zenodo32/100

ITINERIS FAIR convergence matrix review

<p>The Italian Integrated Environmental Research Infrastructures System (ITINERIS) Project commenced in November 2022, aiming to establish the Italian Hub for Research Infrastructures (RIs) in the environmental scientific domain. Its mission involves providing access to data and services, contributing to addressing current and anticipated environmental challenges. ITINERIS oversees a network of national nodes encompassing 22 RIs—18 from the environmental domain, 2 from agri-food with strong ties to the environment, and 2 from the Physical Sciences and Engineering domain, offering support services for the marine domain. The participating RIs include ESFRI Landmarks (Italian nodes) like ACTRIS, EMSO, Euro-Argo, ICOS, and LifeWatch in the environmental domain, as well as ANAEE in the Health&amp;Food domain. ESFRI projects (Italian nodes) such as DANUBIUS-RI, DiSSCo, and e-LTER operate in the environmental domain, while EMPHASIS and EUIBISBA function in the Health&amp;Food domain. Additionally, EU RIs like ECORD, EUFAR, Eurofleets, JERICO, and SIOS operate in the environmental domain, and national RIs like ATLAS, CeTRA, Laura Bassi, and SMINO function in the environmental domain, with Geosciences and LNS serving as support services for the Physical Sciences and Engineering domain, especially for the marine domain. Deliverable 2.8 aims to provide a concise review of the existing FAIR Implementation Profiles (FIPs) relevant to the ITINERIS project using the FIP Wizard. The matrix was constructed by downloading all FIPs from the GitHub SPARQL query (https://github.com/peta-pico/dsw-nanopub-api/blob/main/tables/new_matrix.csv). The table was refined to include only RIs participating in ITINERIS and SeaDataNet FIPs (SeaDataNet-CDI and SeaDataNet-Sextant). SeaDataNet was included in the analysis due to its relevance to marine subdomain RIs within ITINERIS. The most updated version of each FIP was considered, and only FERs declared as "available" and "in use" by each community were selected. The resulting matrix illustrates the number of common FERs between each pair of RIs, serving as an indicator of convergence. In this analysis, SeaDataNet FIPs and the "LifeWatch marine" community were excluded. RIs represented by more than one community were merged in the cross table to acknowledge the collaborative nature of contributions.</p>

opencc-by-4.0Dec 2022View details →
zenodo32/100

MOTL: enhancing multi-omics matrix factorization with transfer learning

<p>The <strong>Lrn_5000D_Fctrzn_100k_001TH.zip</strong> file contains the results of a MOFA factorization of the TGCA learning dataset, to be downloaded and used for transfer learning factorization of a target dataset with MOTL. The MOFA output is in the <strong>Model.hdf5</strong> file, and intercepts for the factorization are in the <strong>EstimatedIntercepts.rds</strong> file.&nbsp; The <strong>FctrMeta.json </strong>file contains metadata related to the MOFA factorization. The nohup.out file is the log of the factorization.</p> <p>The <strong>expdat_meta.rds</strong> file contains metadata from the preprocessing of the TCGA multi-omics learning dataset that was factorized. This should also to be downloaded as it is an input to MOTL</p>

opengpl-3.0-or-laterMar 2024View details →
zenodo32/100

NetCDF data matrix with Lagrangian dispersal simulation output

<p>zipped NetCDF file (unzipped ~444GB)</p> <p>The NetCDF file contains a data matrix with the number of particles per bin (lon 0.015&deg;, lat 0.01&deg;) in the geographic area from -12&deg;W - 10&deg;E, and 47&deg;N - 63&deg;N.<br>Particle numbers are labelled according to the three simulated scenarios ("period" 0-2, 14-28, 0-28 days after release), by station ("station" as named in stations.csv)", by year ("year" 2019-2022), and by day when the simulation was started ("offset", 000-122 days counting from 01.05.-31.08.)</p> <p>data variable: <br>particle_number [111,007,858,176&nbsp; values, float32]</p> <p>dimensions:&nbsp;<br>lon_bin [length 1468, float32]<br>lat_bin [length 1601, float32]<br>period [length 3, object '0-2','14-28','0-28']<br>station [length 32, object 'DK_044','FR_0206'....(all station names)]<br>year [length 4, object '2019'...'2022']<br>offset [length 123, object '000'...'122']</p>

opencc-by-4.0Mar 2024View details →
zenodo32/100

AD/AE of SC24 Submission: A sparsity-aware distributed-memory algorithm for sparse-sparse matrix multiplication

<p>AD/AE for SC24 submission: A sparsity-aware distributed-memory algorithm for sparse-sparse matrix multiplication</p> <p>&nbsp;</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

FIGURES 15–20. Setodes argentipunctellus McLachlan 1877, 5 in Larval description of Setodes acutus Navás 1936, (Trichoptera: Leptoceridae) from Algeria, including a discriminatory matrix to the known Setodes larvae from the Maghreb region

FIGURES 15–20. Setodes argentipunctellus McLachlan 1877, 5th instar larva. 15, head, dorsal (Scale bar: 0.2 mm); 16, head, ventral (Scale bar: 0.2 mm); 17, head and thorax, dorsal; 18, right foreleg, anterior; 19, abdominal tergites VIII and IX, dorsal; 20, anal prolegs and anal claws, caudal (Scale bar: 0.5 mm)

opennotspecifiedApr 2024View details →
zenodo32/100

FIGURES 1–14 in Larval description of Setodes acutus Navás 1936, (Trichoptera: Leptoceridae) from Algeria, including a discriminatory matrix to the known Setodes larvae from the Maghreb region

FIGURES 1–14. Setodes acutus Navás 1936, 5th instar larva and its case. 1, habitus of larva in its case, dorsal; 2, head, dorsal (Scale bar: 0.5 mm); 3, head, dorsal; 4, head, ventral (Scale bar: 0.5 mm); 5, dorsal hump of abdominal segment I (lateral humps collapsed; Scale bar: 0.5 mm); 6, head and thorax, dorsal (Scale bar: 1 mm); 7, thorax, dorsal; 8, left foreleg, posterior; 9, left foreleg, posterior; 10, right foretrochantin with elongate apical extension (dashed circle, black arrow); 11, hind leg, anterior view; 12, abdominal tergites VIII and IX, dorsal; 13, anal prolegs and anal claws, ventral (Scale bar: 0.5 mm); 14, anal prolegs and anal claws, double row of spines (black arrows), left ventrolateral.

opennotspecifiedApr 2024View details →
zenodo32/100

Optical modeling of nonspherical pine and mugwort pollen aerosols using the invariant imbedding T-matrix and improved geometric optics methods

<p><strong>Data for </strong></p> <p><strong><em>Optical modeling of nonspherical pine and mugwort pollen aerosols using the invariant imbedding T-matrix and improved geometric optics methods</em>.</strong></p> <p>&nbsp;</p> <p>Mail:</p> <p><a href="mailto:bilei@zju.edu.cn">bilei@zju.edu.cn</a></p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

Aligned DNA sequence matrix for phylogenetic analyses in the article "Systematics of the Dendropsophus leucophyllatus species group (Anura, Hylidae) from the Chocó region of Ecuador, with description of a new species"

<p>Aligned DNA sequence matrix for phylogenetic analyses of the article "Systematics of the <em>Dendropsophus leucophyllatus</em> species group (Anura, Hylidae) from the Choc&oacute; region of Ecuador, with description of a new species"</p> <p>The matrix is in NEXUS format and has 7691 bp and 203 terminals.</p> <p>Partitions are as follows:</p> <div> <div>charset 12S = 1-996;</div> <div>&nbsp;</div> <div>charset CO1codonPos1 = &nbsp;997-1639\3;</div> <div>charset CO1codonPos2 = &nbsp;998-1640\3;</div> <div>charset CO1codonPos3 = &nbsp;999-1638\3;</div> <div>&nbsp;</div> <div>charset ND1nonCoding = &nbsp;1641- 1713 2675- 2796 ;</div> <div>charset ND1codonPos1 = &nbsp;1714-2674\3;</div> <div>charset ND1codonPos2 = &nbsp;1715-2672\3;</div> <div>charset ND1codonPos3 = &nbsp;1716-2673\3;</div> <div>&nbsp;</div> <div>charset CytbcodonPos1 = &nbsp;2798-3686\3;</div> <div>charset CytbcodonPos2 = &nbsp;2799-3687\3;</div> <div>charset CytbcodonPos3 = &nbsp;2797-3685\3;</div> <div>&nbsp;</div> <div>charset RhodcodonPos1 = &nbsp;3689-4001\3;</div> <div>charset RhodcodonPos2 = &nbsp;3690-4002\3;</div> <div>charset RhodcodonPos3 = &nbsp;3688-4003\3;</div> <div>&nbsp;</div> <div>charset TYRcodonPos1 = &nbsp;4005-4539\3;</div> <div>charset TYRcodonPos2 = &nbsp;4006-4537\3;</div> <div>charset TYRcodonPos3 = &nbsp;4004-4538\3;</div> <div>&nbsp;</div> <div>charset RAG1codonPos1 = &nbsp;4542-4965\3;</div> <div>charset RAG1codonPos2 = &nbsp;4540-4966\3;</div> <div>charset RAG1codonPos3 = &nbsp;4541-4964\3;</div> <div>&nbsp;</div> <div>charset POMCcodonPos1 = &nbsp;4967-5441\3;</div> <div>charset POMCcodonPos2 = &nbsp;4968-5439\3;</div> <div>charset POMCcodonPos3 = &nbsp;4969-5440\3;</div> <div>&nbsp;</div> <div>charset SIAH1codonPos1 = &nbsp;5443-5836\3;</div> <div>charset SIAH1codonPos2 = &nbsp;5444-5837\3;</div> <div>charset SIAH1codonPos3 = &nbsp;5442-5838\3;</div> <div>&nbsp;</div> <div>charset 16S_rec = 5839-7695;</div> </div>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Creep behavior of short glass fiber reinforced poly(butylene terephthalate) and its prediction based on the matrix creep using an elementary volume approach

<p><span>The creep compliances of short glass fiber reinforced poly(butylene terephthalate) composites (SFRC&nbsp;PBT) plates processed by conventional injection molding and push pull processing were determined parallel and perpendicular to the flow direction using a tensile creep stand. The fiber weight contents of the plates were 0, 20 and 30&nbsp;%. Tensile test bars were taken out of the plates parallel and perpendicular to the flow direction to determine short-term mechanical properties, fiber length distribution and fiber orientation distribution necessary for subsequent modelling. An elementary volume approach was used to calculate the longitudinal and transverse creep compliances in the main axes system showing that their time dependencies are governed by the creep of the PBT matrix only. As the plates hardly exhibit any fiber orientation in the thickness direction, the components of the 2D compliance tensor were transformed according to RM Jones&rsquo; <em>Mechanics of composite materials</em> to take into account the fiber misalignment in SFRC. This transformation introduces the unknown shear modulus G<sub>12</sub> to the components of the transformed compliances tensor. This problem could be overcome as G<sub>12</sub> can be expressed in terms of the transverse compliance J<sub>22</sub> and a shear correction factor within the EV approach. Comparing the predicted creep compliances to measured ones resulted in an underestimation of 15 to 30&nbsp;% parallel and 5 to 15&nbsp;% perpendicular to the flow direction. This underestimation can be attributed to a large extent to a non-perfect fiber matrix adhesion. Furthermore, SEM pictures of fracture surfaces show different failure behavior parallel to the fiber axis and perpendicular to it. Thus, the fiber matrix adhesion seems to depend on the direction of stress with respect to the fiber axes. The time range of well correspondence of matrix creep and composites creep can be expressed by the creep time limit which decreases exponentially with increasing creep stresses.</span></p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Figure 13. Strict consensus cladograms from the modified Young matrix analyses. A, results from the analysis using all 104 in Revision of the enigmatic crocodyliform Elosuchus felixi de Lapparent de Broin, 2002 from the Lower-Upper Cretaceous boundary of Niger: potential evidence for an early origin of the clade Dyrosauridae

Figure 13. Strict consensus cladograms from the modified Young matrix analyses. A, results from the analysis using all 104 operational taxonomic units (OTUs). B, subset of results from the analysis excluding Fortignathus felixi (de Lapparent de Broin, 2002) comb. nov., showing the only differences with the 104 OUT analyses (i.e. in the resolution of Dyrosauridae, Pholidosauridae and Crocodylia). Bootstrap values are shown above the relevant nodes. C, subset of results from the analysis excluding F. felixi comb. nov. and Pholidosaurus schaumbergensis von Meyer, 1841, showing the differences with the 104 OUT analysis alone (i.e. in the resolution of Dyrosauridae and Pholidosauridae). Abbreviations: CI, ensemble consistency index; RI, ensemble retention index; RC, rescaled consistency index; HI, ensemble homoplasy index.

opennotspecifiedJul 2016View details →
zenodo32/100

BB4B: Quotes Matrix

<p>This is the de-identified BB4B Study Quotes Matrix.&nbsp;</p>

opencc-by-4.0Nov 2021View details →
zenodo32/100

Lidar ratio–depolarization ratio relations of atmospheric dust aerosols: the T-matrix modeling and high spectral resolution polarization lidar observations

<p><strong>Data for publication:</strong></p> <p><em><strong>Lidar ratio&ndash;depolarization ratio relations of atmospheric dust aerosols: the T-matrix modeling and high spectral resolution polarization lidar observations.</strong></em></p> <p>Mail:</p> <p>sato@riam.kyushu-u.ac.jp&nbsp;</p> <p><a href="mailto:bilei@zju.edu.cn">bilei@zju.edu.cn</a></p>

opencc-by-4.0Nov 2021View details →
dryad32/100

Data from: Can matrix structure affect animal navigation between fragments? A dispersal experiment using release platforms

<p>The persistence of species in fragmented landscapes relies on landscape connectivity and individuals' ability in dispersing among habitat patches. Accordingly, matrix structure can affect the orientation of dispersing individuals across the landscape. In this study, we measured the impact of matrix structure on the dispersal performance of the white-eared opossum (Didelphis albiventris). We released individuals in three types of matrix: bare field, corn crops and soybean crops, with distances of 30, 50 and 100 m to the nearest habitat patch. To test if the release height would affect the individuals' dispersal performance, we released animals from the ground and from 2 m high platforms. We released and tracked 14 individuals in bare field on the ground; 30 in corn crops, 22 on the ground and 8 on platforms; 17 on soybeans crop, 12 on the ground and 5 on platforms. The type of matrix influenced the perceptual range. Perceptual range was 100 m in bare field, 50 m in cornfield and less than 30 m in soybean field. The platforms only increased the perceptual range of individuals in the cornfield from 50 to 100 m. Visual and olfactory cues would cause this effect. We conclude that matrix structure affects dispersal performance, and that vertical elements of the matrix, such as scattered trees, may increase orientation in crop fields during inter-patch dispersal.</p>

opencc-zeroDec 2021View details →
zenodo32/100

initial direct relation matrix

<p>The initial relation matrix is formed from interviews/suggestions of expert comments mentioned in the corresponding paper.&nbsp;</p>

opencc-by-3.0-usDec 2021View details →
zenodo32/100

FIGURE. Microscopic structures of Gliophorus roseus (PAN612, holotype). a. Upper part of pileipellis, gelatinous matrix not indicated. b. Basidiospores. c. Ixo-cheilocystidia in a gelatinous matrix (not indicated). d. Basidia at different developmental stages. Bars = 10 µm. Drawings by K. Reschke. in New and interesting species of Agaricomycetes from Panama

FIGURE. Microscopic structures of Gliophorus roseus (PAN612, holotype). a. Upper part of pileipellis, gelatinous matrix not indicated. b. Basidiospores. c. Ixo-cheilocystidia in a gelatinous matrix (not indicated). d. Basidia at different developmental stages. Bars = 10 µm. Drawings by K. Reschke.

opennotspecifiedDec 2021View details →

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allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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