Find research datasets worth reusing

FIGURE 5 in A new species of Synotaxus and the first chromosomal study on Synotaxidae, presenting a rare XY sex chromosome system in spiders (Araneae, Araneoidea)

FIGURE 5. Mitotic telocentric chromosomes of Synotaxus jaraguari n. sp. A, Spermatogonial metaphase 2n♂ = 22 + XY. B– C, Oogonial metaphases. B, 2n♀= 22 + XX. C. 2n♀ = 26. Scale bar, 5 µm.

FIGURE 4. Synotaxus jaraguari n in A new species of Synotaxus and the first chromosomal study on Synotaxidae, presenting a rare XY sex chromosome system in spiders (Araneae, Araneoidea)

FIGURE 4. Synotaxus jaraguari n. sp. A. Male palp, ventral view. B, Ditto, retrolateral view. C, Epigynum, ventral view. D, Female internal genitalia, dorsal view. Abbreviations: AB, Anterior border of epigynum; AS, Accessory sac; MA, Median apophysis; PA, Patellar apophysis; PC, Paracymbium; PP, Patellar projection, TTA, Theridioid tegular apophysis; FD, Fertilization ducts; SP, Spermathecae. Scale bar, 0.5 mm.

FIGURE 7 in A new species of Synotaxus and the first chromosomal study on Synotaxidae, presenting a rare XY sex chromosome system in spiders (Araneae, Araneoidea)

FIGURE 7. Scheme showing hypothetical origin of the karyotype 2n♂ = 22 + XY, found in Synotaxus jaraguari n. sp.

FIGURE 6 in A new species of Synotaxus and the first chromosomal study on Synotaxidae, presenting a rare XY sex chromosome system in spiders (Araneae, Araneoidea)

FIGURE 6. Chromosomes of Synotaxus jaraguari n. sp., male. A–C, Giemsa stained. D, Silver nitrate impregnation. A–B, Diplotenes, with 11 autosomal bivalents + XY, showing the achiasmatic association between X and Y (A, photo and inset) and its early segregation (B). C, Metaphase II with n = 12. D, Spermatogonial metaphase, with 2n♂ = 24, highlighting the Nucleolar Organizer Regions (arrows). Scale bar, 5 µm.

FIGURE 3. Synotaxus jaraguari n in A new species of Synotaxus and the first chromosomal study on Synotaxidae, presenting a rare XY sex chromosome system in spiders (Araneae, Araneoidea)

FIGURE 3. Synotaxus jaraguari n. sp., male palp. A, Theridioid tegular apophysis, lateral view. B–D, Paracymbium and patelar apophysis. B, Lateral view. C, Ventro-lateral view. D, Detail, ventral view. Abbreviations: C, Cymbium; PA, Patellar apophysis; PC, Paracymbium; PP, Patellar projection, TTA, Theridioid tegular apophysis.

FIGURE 2. Synotaxus jaraguari n in A new species of Synotaxus and the first chromosomal study on Synotaxidae, presenting a rare XY sex chromosome system in spiders (Araneae, Araneoidea)

FIGURE 2. Synotaxus jaraguari n. sp. A–D, Male. A, Carapace, frontal view. B, Lateral view. C, Horn, detail, frontal view. D, Lateral view. E–F, Palp. E, Ventral view. F, Theridioid tegular apophysis, detail. Abbreviations: E, embolus; TTA, Theridioid tegular apophysis.

opencc-by-4.0Dec 2020View details →

IEPOX-SOA and related chemical/meteorological fields simulated by CESM2/CAM-chem under present and future conditions

This dataset contains IEPOX-SOA (Isoprene epoxydiol derived secondary organic aerosol) concentrations and other related variables under present and future conditions. CESM2.1/CAM6-chem (Community Earth System Model version 2.1 / Community Atmosphere Model version 6 with comprehensive tropospheric and stratospheric chemistry representation) was used with a horizontal resolution of 0.95° in latitude by 1.25° in longitude, and 32 vertical layers up to 1 hPa (40 km). Four shared socioeconomic pathways (SSPs) were used for the simulation of the mid and end of the 21st century - SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. The detailed information is available in Table 1 in the following manuscript: Jo et al., Future changes in isoprene-epoxydiol-derived secondary organic aerosol (IEPOX-SOA) under the shared socioeconomic pathways: the importance of physico-chemical dependency., ACP, 2021 (https://doi.org/10.5194/acp-2020-543). Please contact Duseong Jo (cdswk@ucar.edu) or Louisa Emmons (emmons@ucar.edu) if you have questions about this dataset.

opencc-by-4.0Oct 2023View details →

PRÁTICAS EDUCATIVAS E FORMAÇÃO DO PSICÓLOGO: UMA ANÁLISE DOS ASPECTOS FILOSÓFICOS PRESENTES NAS DIRETRIZES CURRÍCULARES NACIONAIS PARA PSICOLOGIA

Para entender como se reconstrói a relação entre Psicologia e Educação enquanto áreas afins, é necessário retomar a construção histórica da Psicologia no Brasil e como essa se constitui enquanto ciência e profissão. Segundo Campos (2014), a história da Psicologia no Brasil está marcada por um processo de construção moroso, devido a criação das instituições ter sido somente no século XIX, fato esse que ocasionou em um processo de construção díspar, uma vez que as ideias psicológicas começam a ser difundidas no Brasil através dos Jesuítas na transmissão do saber medieval e renascentista.

restrictedcc-by-4.0Jan 2022View details →

ChinaHighPMC: Daily Seamless 1 km Ground-Level PM₂.₅ Composition Dataset for China (2000–Present)

ChinaHighPMC is part of a series of long-term, seamless, high-resolution, and high-quality datasets of air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data sources (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence, taking into account the spatiotemporal heterogeneity of air pollution. Here is the big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 1 km (i.e., D1K, M1K, and Y1K) ground-level PM2.5 chemical composition (i.e., SO42-, NO3-, NH4+, and Cl-) dataset for Eastern China from 2013 to 2020. This dataset exhibits high quality, with cross-validation coefficients of determination (CV-R2) of 0.74, 0.75, 0.71, and 0.66, and root-mean-square errors (RMSEs) of 6.0, 6.6, 4.3, and 2.3 µg m-3 for SO42-, NO3-, NH4+, and Cl-, respectively, on a daily basis. If you use the ChinaHighPMC dataset in your scientific research, please cite the following reference (Wei et al., EST, 2023): <ul> <li>Wei, J., Li, Z., Chen, X., Li, C., Sun, Y., Wang, J., Lyapustin, A., Brasseur, G., Jiang, M., Sun, L., Wang, T., Jung, C., Qiu, B., Fang, C., Liu, X., Hao, J., Wang, Y., Zhan, M., Song, X., and Liu, Y. <a href="https://weijing-rs.github.io/publications/Wei_et_al-EST-2023.pdf">Separating daily 1 km PM2.5 inorganic chemical composition in China since 2000 via deep learning integrating ground, satellite, and model data</a>. Environmental Science & Technology, 2023, 57(46), 18282–18295. https://doi.org/10.1021/acs.est.3c00272</li> </ul> More CHAP datasets for different air pollutants are available at: <a href="https://weijing-rs.github.io/product.html">https://weijing-rs.github.io/product.html</a>

opennotspecifiedMar 2015View details →

Figure 4. Selachimorpha enameloid. A, P in Chondrichthyan tooth enameloid: past, present, and future

Figure 4. Selachimorpha enameloid. A, P. pockrandti, radial furrows near the SCE, transverse section etched 5 s in 10% HCl. B, P. jurensis, lingual ornament made of SCE, transverse section etched 5 s in 10% HCl. C, Sphyrna sp., cutting edge showing bundles of the PBE oriented normal to the axis of the cutting edge, transverse section etched 5 s in 10% HCl. D, Squatina sp., cutting edge showing bundles of the PBE oriented normal to the axis of the cutting edge, transverse section etched 5 s in 10% HCl.

opennotspecifiedMar 2015View details →

Figure 1 in Chondrichthyan tooth enameloid: past, present, and future

Figure 1. Schematic organization of a typical selachimorph tooth illustrating the various tissues composing the enameloid cover.

opennotspecifiedMar 2015View details →

Figure 5. Batomorphii enameloid. A, B in Chondrichthyan tooth enameloid: past, present, and future

Figure 5. Batomorphii enameloid. A, B, Hypsobatis weileri, transverse section etched 5 s in 10% HCl. A, general view of the thin SCE. B, inner part of the enameloid layer, with crystallites showing a slight preferential orientation normal to the occlusal surface. C, D, Rhombodus binkhorsti, transverse section etched 5 s in 10% HCl. C, general view of the thin SCE. D, detail of the SCE. E, Leidybatis jugosus, transverse section etched 5 s in 10% HCl. SCE forming thick pillars extending far into the dentine layer, with patches of dentine fully enclosed in the enameloid (arrows). F, G, Belemnobatis sp., transverse section etched 5 s in 10% HCl. F, enameloid on the lingual face of the crown. G, detail of the enameloid layer at the level of the transverse crest. H, I, J, Parapalaeobates cf. atlanticus, transverse section etched 5 s in 10% HCl. H, enameloid microstructure showing the RBE. I, detail of the randomly oriented crystallites forming the outer SCE. J, general view of the enameloid at the level of the crown ornamentation. K, L, Ptychotrygon sp., transverse section etched 5 s in 10% HCl. K, detail of the RBE. L, detail of the SCE.

opencc-by-4.0Nov 2023View details →

Emulating present and future simulations of melt rates at the base of Antarctic ice shelves with neural networks

This dataset contains the data and scripts for the publication "<a href="https://doi.org/10.1029/2023MS003829">Emulating present and future simulations of melt rates at the base of Antarctic ice shelves with neural networks</a>" in Journal of Advances in Modeling Earth Systems. Before going into details, here is a reminder that the NEMO runs for the training dataset are called 'OPM+number'. These are the corresponding names given in the manuscript: OPM006=HIGHGETZ, OPM016=WARMROSS, OPM018=COLDAMU and OPM021=REALISTIC. For the testing dataset: 'bf663' is the REPEAT1970 run and 'bi646' is the 4xCO2 run. Most of the formatting and preprocessing of the training data has been made for <a href="https://tc.copernicus.org/articles/16/4931/2022/">Burgard et al. 2022</a>. The raw and to-some-degree processed data can therefore be found here: <a href="https://doi.org/10.5281/zenodo.7308352">https://doi.org/10.5281/zenodo.7308352</a>.  The raw data for the testing dataset is from <a href="https://doi.org/10.1029/2021MS002520">Smith et al. 2021</a>, you can find it here: <a href="doi.org/10.5281/zenodo.7886986">https://doi.org/10.5281/zenodo.7886986</a> The following folders and files can be found here: =============== raw/ Some geometrical files needed for initial data formatting and masking. =============== interim/ <ul> <li>ANTARCTICA_IS_MASKS/ (from INTERIM_ANTARCTICA_IS_MASKS.zip): contains <ul> <li>masks and geometric information for the testing dataset to be included in the input file of the neural network and for the classic parameterisations.</li> <li>local bedrock and ice meridional and zonal slopes</li> </ul> </li> <li>BOXES/ (from INTERIM_BOXES.zip): contains variables needed to apply the box parameterisation for the testing dataset</li> <li>PLUMES/ (from INTERIM_PLUMES.zip): contains the variables needed to apply the plume parameterisation for the testing dataset</li> <li>SMITH_bf663/ and SMITH_bi646/ (from INTERIM_SMITH*.zip): for testing dataset, <ul> <li>corrected_draft_bathy_isf.nc: file containing ice draft and bathymetry corrected by ice draft concentration to account for the biased draft and bathymetry at the grounding line resulting from the interpolation from the native NEMO grid to the stereographic grid (values under ice shelf and NaNs over land</li> <li>custom_lsmask_Ant_stereo_clean.nc: land-sea mask giving 0 = ocean, 1 = shelf, 2 = land</li> <li>isfdraft_conc_Ant_stereo.nc: ice-shelf concentration resulting from the interpolation from the native NEMO grid to the stereographic grid</li> <li>other_mask_vars_Ant_stereo.nc: contains other variables used for the masks</li> <li>the reference melt: 1D containing integrated melt, 2D containing melt fields, box1 containing melt near the grounding line</li> </ul> </li> <li>T_S_PROF/ (from INTERIM_T_S_PROF.zip) <ul> <li>Mean profiles used as input for traditional parameterisations</li> <li>T and S 2D fields, extrapolated from the mean profiles to the local ice draft depth (needed as input for the neural network)</li> <li>Fields of mean and standard deviation T and S for all points (needed as input for the neural network)</li> </ul> </li> <li>NN_MODELS/ (from INTERIM_NN_MODELS.zip) contains all neural networks trained for this paper (for the cross validation and over the whole dataset for testing)</li> <li>INPUT_DATA/ (from INTERIM_INPUT_DATA.zip) contains all input csv files containing the input datasets for the different training and testing iterations. Also contains the metrics to normalise the input. For the cross-validation, the input csv files are not included because they are too large. However, they can be reconstructed from the individual files for ice shelves and time blocks. The metrics to normalise the data during the cross-validation are included in EXTRAPOLATED_ISFDRAFT_CHUNKS_CV!</li> </ul> =============== processed/MELT_RATE/ Contains resulting melt rates <ul> <li>CV_ISF : Cross-validation results over ice shelves</li> <li>CV_TBLOCKS : Cross-validation results over time</li> <li>SMITH_bf663 : Neural network results for REPEAT1970</li> <li>SMITH_bf663_CLASSIC  : "Traditional" parameterisation results for REPEAT1970</li> <li>SMITH_bi646 : Neural network results for 4xCO2</li> <li>SMITH_bi646_CLASSIC: "Traditional" parameterisation results for 4xCO2</li> </ul> ===================== The explanation around the scripts can be found in README.rst with the scripts in scripts_paper_simpleNN_basal_melt.zip. Note that these are the scripts needed to produce the results in the paper. You can also find them on Github: <a href="https://github.com/ClimateClara/https://github.com/ClimateClara/scripts_paper_simpleNN_basal_melt">https://github.com/ClimateClara/scripts_paper_simpleNN_basal_melt</a>, find the most up-to-date version of the package 'multimelt' here: <a href="https://github.com/ClimateClara/multimelt">https://github.com/ClimateClara/multimelt</a> and a version you can install via pip here: <a href="https://github.com/ClimateClara/multimelt">https://pypi.org/project/multimelt/</a> Finally, if anything is unclear, check out the "Methods" section of the paper: <a href="https://doi.org/10.1029/2023MS003829">https://doi.org/10.1029/2023MS003829</a>

opencc-by-4.0Dec 2022View details →

Data to reproduce the results presented in de Lange et al. 2023. Water Resources Research, "The Impact Of Flocculation on In Situ and Ex Situ Particle Size Measurements by Laser Diffraction"

This repository consists data to reproduce results as presented in: "The Impact Of Flocculation on In Situ and Ex Situ Particle Size Measurements by Laser Diffraction", Water Resources Research. Kindly refer to the readme.text file to navigate through the dataset.

Figure 8 in Modern hydrophilid clades present and widespread in the Late Jurassic and Early Cretaceous (Coleoptera: Hydrophiloidea: Hydrophilidae)

Figure 8. Reconstructions of the clypeus shape and meso- and metathoracic morphology of the Early Cretaceous hydrophilid genera known in adult stage (three-dimensional structure of the mesoventrite not reconstructed). Alegorius gen. nov. (A, B); Cretoxenus gen. nov. (C, D); Hydroyixia gen. nov. (E, F). Head and thorax of the respective genus not to scale.

Figure 7 in Modern hydrophilid clades present and widespread in the Late Jurassic and Early Cretaceous (Coleoptera: Hydrophiloidea: Hydrophilidae)

Figure 7. Hydrophilid fossils from Early Cretaceous Yixian Formation, China. Alegorius yixianus sp. nov.: holotype CNU 2009079, whole specimen (A), detail of meso- and metaventrite (B), detail of abdominal apex (C); paratype CNU 2009078, whole specimen (D), detail of mesoventrite (E). Hydroyixia elongata sp. nov.: paratype CNU 2009075, detail of head and pronotum (F), whole specimen (G); holotype CNU 2010005: whole beetle, piece and counterpiece (H, I), detail of head (J), detail of meso- and metaventrite (K), detail of abdominal apex (L). Hydroyixia latissima sp. nov.: holotype CNU 2009074, detail of abdominal apex (M), whole specimen in dry condition (N) and under alcohol (O). Abbreviations: apls, anapleural suture; abem, apical emargination of abdominal ventrite 5.

Figure 9 in Modern hydrophilid clades present and widespread in the Late Jurassic and Early Cretaceous (Coleoptera: Hydrophiloidea: Hydrophilidae)

Figure 9. Known distribution of the Hydrophilidae in the Late Jurassic and Early Cretaceous. 1, Solnhofen, Germany; 2, Talbragar, Australia; 3, Baissa, Russia; 4, Yixian Formation, China; 5, Koonwarra, Australia.

Figure 4 in Modern hydrophilid clades present and widespread in the Late Jurassic and Early Cretaceous (Coleoptera: Hydrophiloidea: Hydrophilidae)

Figure 4. Results of the phylogenetic analyses of the position of Baissalarva hydrobioides. Unconstrained analysis, strict consensus of seven most-parsimonious trees of 207 steps (A); single most parsimonious tree of length 240 steps resulting from the constrained analysis (B).

Figure 6 in Modern hydrophilid clades present and widespread in the Late Jurassic and Early Cretaceous (Coleoptera: Hydrophiloidea: Hydrophilidae)

Figure 6. Fossil and recent representatives of the Hydrobiusini and Hydrophilini. Baissalarva hydrobioides sp. nov.: holotype PIN 3063/6975, anterior part of the piece (A), detail of the head of the piece (B), detail of the head of the counterpiece (C); paratype PIN 3063/6977 (D). Larva of extant Limnoxenus niger (Hydrobiusini): whole larva in dorsal view (E), detail of head (G). Larva of extant Sternolophus rufipes (Hydrophilini): whole larva in dorsal view (F), detail of head (H). Holotype of Cretoxenus australis sp. nov. NMVP 103312, piece and counterpiece (I, J). Extant hydrobiusine Limnoxenus zealandicus in ventral view, whole beetle (K) and detail of meso- and metaventrite (L). Abbreviations: md, mandible; mtvpr, metaventral process.

Figure 3 in Modern hydrophilid clades present and widespread in the Late Jurassic and Early Cretaceous (Coleoptera: Hydrophiloidea: Hydrophilidae)

Figure 3. Early Cretaceous representatives of the Hydrobiusini. Cretoxenus australis gen. nov., sp. nov., Koonwarra, Australia, NMVP 103312, piece and counterpiece (A, B). Baissalarva hydrobioides gen. nov., sp. nov. from Baissa, Russia: paratype PIN 3063/6977 (C); holotype PIN 3063/6975: piece, detail of the head (D), counterpiece, detail of the head (E), whole specimen, counterpiece (F). Abbreviations: absc, abdominal dorsal sclerite; absc4, absc7, abdominal dorsal sclerite of segment 4 or 7; aes3, metanepisternum; apls, anapleural suture; cersc, cervical sclerite; dpl8, dorsal plate on abdominal segment 8; epl, epistomal lobe; md, mandible; men, mentum; mssc, mesoscutum; mstr1, mesotarsomere 1; msv, mesoventrite; mxp, maxillary palpus; mtsc, metascutum; ns, nasale; occf, occipital foramen; pros, prosternum; sbm, submentum; scsh, scutellar shield; sstr, sutural stria; ttr, tracheal trunk.