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Fig. 1 in Nuptial pads of rock frogs (Thoropa, Cycloramphidae, Anura): How papillary epidermal projections are related to sexual maturity and taxonomy

Fig. 1. Photos of the three basic types and distribution of papillary epidermal projections (PEPs) of Thoropa. (A, B) Dorsal and ventral views of the hand of a specimen of Thoropa lutzi from Rio de Janeiro, Rio de Janeiro state, Brazil (MZUSP 88241) showing cone-shaped PEPs (not the focus of the present study). (C, D) Dorsal and ventral views of the hand of a specimen of Thoropa petropolitana from Guapimirim, Rio de Janeiro state, Brazil (EI 9474) showing spineshaped PEPs located only on the metacarpalphalangeal articulation of finger II (MPA-II). (E, F) Dorsal and ventral views of the hand of a specimen of Thoropa taophora from S˜ao Sebasti˜ao, S˜ao Paulo state, Brazil (EI 9474) showing spine-shaped PEPs on the metacarpal-phalangeal articulation of finger II (MPAII), inner metacarpal tubercle (IMT), other regions of finger II, finger III, and finger IV.

Fig. 3 in Nuptial pads of rock frogs (Thoropa, Cycloramphidae, Anura): How papillary epidermal projections are related to sexual maturity and taxonomy

Fig. 3. Details of the papillary epidermal projections (PEPs): (A) Stratum corneum dislodged from the PEP (black arrow), showing the pale exposed stratum granulosum (blue arrow) from a Thoropa miliaris specimen from Paraty, Rio de Janeiro state (CFBH 30617); (B) a specimen of Thoropa miliaris from Carangola, Minas Gerais state (CFBH 27292), showing the different sized PEPs found on the dorsal surface of finger II basal phalanx (P-II) (larger PEPs, yellow arrow) and the dorsal surface of finger II metacarpus (M II) (smaller PEPs, red arrow).

Fig. 5 in Nuptial pads of rock frogs (Thoropa, Cycloramphidae, Anura): How papillary epidermal projections are related to sexual maturity and taxonomy

Fig. 5. Violin plots of the number of papillary epidermal projections (PEPs) found in the same specimen, grouped by species, excluding specimens for which PEPs could not be counted for any region, with corresponding Kruskal–Wallis H statistics and P-values. Left, plots including counts on the metacarpal-phalangeal articulation of finger II (MPA-II, metacarpal-phalangeal articulation). Right, plots including all regions except MPA-II.

Fig. 7 in Nuptial pads of rock frogs (Thoropa, Cycloramphidae, Anura): How papillary epidermal projections are related to sexual maturity and taxonomy

Fig. 7. Violin plots of the number of papillary epidermal projections (PEPs) on left finger IV, grouped by species, with corresponding Kruskal–Wallis H statistics and P-values. The sample size is given below the species names.

Fig. 2 in Nuptial pads of rock frogs (Thoropa, Cycloramphidae, Anura): How papillary epidermal projections are related to sexual maturity and taxonomy

Fig. 2. Ventral and dorsal views of the hand of Thoropa indicating the regions of the hand where papillary epidermal projections (PEPs) occur: "MPA-II" = metacarpal-phalangeal articulation of finger II; "IMT" = inner metacarpal tubercle; "P-II" = basal phalange of finger II; "M-II" = metacarpus of finger II; finger II itself; finger III; finger IV; and finger V. Finger numbers follow Fabrezi and Alberch (1996). Modified from Rebouças et al. (2017).

Fig. 4 in Nuptial pads of rock frogs (Thoropa, Cycloramphidae, Anura): How papillary epidermal projections are related to sexual maturity and taxonomy

Fig. 4. Dorsal and ventral views of papillary epidermal projection (PEP) distribution categories used to analyze the occurrence of spermatozoa in the testes (A-B, D-E, G-H, J-K, M N, P-Q, and S-T), with an examplar histological section of the testis of a specimen attributed to that category (C, F, I, L, O, R, and U). Each row corresponds to a category (a–g). (A, B, and C) Thoropa taophora, Ilhabela, SP (CFBH 15341), specimen without PEPs (category a); (D, E, and F) T. miliaris, Paraty, RJ (CFBH 36384), specimen with PEPs only on MPA-II (category b); (G, H, and I) T. miliaris, Cariacica, ES (CFBH 25138), specimen PEPs on MPA-II and IMT (category c); (J, K, and L) T. miliaris, Linhares, ES (CFBH 26382), specimen with PEPs on MPA-II, IMT and finger III (category d); (M, N, and (O) T. taophora, S˜ao Sebasti˜ao, SP (CFBH 15614), specimen with PEPs on MPA-II, IMT, finger III, and finger II (category e); (P and Q) T. taophora, S˜ao Sebasti˜ao, SP (CFBH 15595) and (R) T. taophora, Bertioga, SP (CFBH 30301), both specimens with PEPs on MPA-II, IMT, finger III, finger II, and finger IV, all dark brown or black (category f); (S and T) T. taophora, S˜ao Sebasti˜ao, SP (CFBH 43577) and (U) T. taophora, Iguape, SP (CFBH 42147), both specimens with brown, intermediate, pale or white PEPs (category g). Small boxes with "1" show spermatozoa free in the lumen; small boxes with "2" show spermatozoa attached to Sertoli cells.

Automation of Test Skeletons within Test-Driven Development Projects

This is the data sheets created by authors for Automatic Test-Skeleton Generation within Test-Driven Development Projects

Net primary production annual maxima in the North Atlantic projected to shift in the 21st century - Data

Datasets used for the analysis made in the manuscript: Net primary production annual maxima in the North Atlantic projected to shift in the 21st century. Submitted to Biogeosciences.

Data for the paper Constraints on regional projections of mean and extreme precipitation under warming

Data for the paper " Constraints on regional projections of mean and extreme precipitation under warming"

Artifacts for Bachelor's Thesis: "Development and Integration of an Area Generator for the Gamify-IT Project"

The project files and evaluation questionnaires and results for the Bachelor's Thesis "Development and Integration of an Area Generator for the Gamify-IT Project". The project files are part of the Gamify-IT project and have only been expanded in this work.  The evaluation questionnaires and results are partially in German.

opencc-byFeb 2021View details →

Cannon Project

Cannon UV for DIG 4324 Source: Objaverse 1.0 / Sketchfab

opencc-bySep 2018View details →

Photoscan Project EJ1

Source: Objaverse 1.0 / Sketchfab

opencc-byApr 2021View details →

Ancient Japanese Katana Project Breakdown

This is a base High Resolution model of a katana Source: Objaverse 1.0 / Sketchfab

opencc-by-4.0Jan 2024View details →

Results from the PROMETHEUS and TIAM-ECN models used in D5.1 of the WHY project

Results from the scenario runs with models PROMETHEUS and TIAM-ECN for deliverable 5.1 of the WHY project. The scenario assumptions underlying the various datasets are summarized in the following table:  <table> <tbody> <tr> <td> BASE </td> <td> National Policies Implemented – the actual 2020 values are recreated by the models. </td> </tr> <tr> <td> CP300-Lin </td> <td> Impose exogenous carbon price globally linearly increasing ·         For t < 2025: Fix scenario to DIAG- NPI*   ·         For t in [2025, 2100]: Tax(t) = 75 USD + 15 USD * (t-2025); (USD 300 reached in 2040, 450 in 2050) </td> </tr> <tr> <td> CP70-GR5 </td> <td> Impose exogenous carbon price exponentially increasing ·         For t < 2025: Fix scenario to DIAG-NPI* ·         For t in [2025, 2100]: Tax(t) = 70 USD * 1.05(t-2040)  (USD 70 reached in 2040)  </td> </tr> <tr> <td> BASE-LCHP </td> <td> Like Base but Cost of heat pumps declines below BASE levels by 10% in 2025, 25% in 2030 and 50% from 2040 onwards </td> </tr> <tr> <td> CP300-LCHP </td> <td> Like CP300-Lin , but Cost of heat pumps declines below CP300 levels by 10% in 2025, 25% in 2030 and 50% from 2040 onwards </td> </tr> <tr> <td> BASE-Highprice </td> <td> Like Base, but Global energy prices increase by 50% from BASE levels in 2025, and 30% from 2030 onwards </td> </tr> <tr> <td> CP300-Highprice </td> <td> Like CP300-Lin, but Global energy prices increase by 50% from CP300 levels in 2025, and 30% from 2030 onwards </td> </tr> </tbody> </table> For PROMETHEUS all scenario results are reported within the same excel file, while for TIAM-ECN a separate excel file was created for each scenario.

opencc-by-4.0Jan 2024View details →

Indoor climate projections at 90 workplaces in the Upper Rhine Valley modelled by artificial neural networks

The uploaded files contain the modelled indoor temperature (Ti) and physiologically equivalent temperature (PETi) data at 90 different workplaces in the Upper Rhine Valley, presented in the article "Climate projections of human thermal comfort for indoor workplaces" by Sulzer and Christen (2024), <a href="https://doi.org/10.1007/s10584-024-03685-7">https://doi.org/10.1007/s10584-024-03685-7</a>. The different csv files contain metadata to the different workplaces, the training data recorded in 2021 and 2022, the modelled data for the historical time period 1970-1999 using ERA5-Land data as input data, and for the future time period 2070-2099 using 22 different climate projections as input data.  In the file <a href="../api/records/8229253/draft/files/Workplaces_training_2021-2022.csv/content" target="_blank" rel="noopener noreferrer">Workplaces_training_2021-2022.csv</a> you can find the measured data at the workplaces used for training of the models and in <a href="../api/records/8229253/draft/files/Workplaces_metadata.csv/content" target="_blank" rel="noopener noreferrer">Workplaces_metadata.csv</a> you can find some metadata about each workplace.

opencc-by-4.0Feb 2024View details →

List of GUTTA project deliverables with DOIs

This table contains a list of all GUTTA project deliverables (they are 52) and corresponding DOIs and links. The deliverables are subdived by Work Package.

dryad32/100

Ecological niche modelling to project past, current and future distributional shift of black ebony tree (Diospyros melanoxylon Roxb.) in India

The present study utilized an ensemble modelling approach to predict the distribution of D. melanoxylon under present, past (Last Glacial Maximum, ~22,000 cal yr BP, Middle Holocene ~6000 cal yr BP) and future climate change scenarios (RCP 2.6 and 8.5 for 2050s and 2070s). The annual mean temperature, mean temperature of the wettest quarter and annual precipitations were the most critical parameters that chiefly influence the distribution of D. melanoxylon. The ensemble model rendered high accuracy with AUC=0.93, TSS=0.74, and Kappa=0.71. Past projections of D. melanoxylon indicated a widespread distribution during the Last Glacial Maximum and Middle Holocene suggesting its adaptability to semi-dry as well as warm and humid climates, respectively. The presence of fossil pollen evidence of D. melanoxylon in the suitable habitats derived through past projections in this study complements the model results and marks occurrences of the species during the Last Glacial Maximum and Middle Holocene. By 2050s and 2070s (RCP 8.5), there would be a decline in the distribution by only 0.4% (13622 km2) and 0.2% (6842 km2) of the extremely habitat suitable, respectively. The main factor leading to reduced habitat suitability is the anticipated rise in temperature and variations in seasonal precipitation patterns. Our findings, help in identifying the parts of the country which would be severely affected by future climate change scenarios and plan conservation strategies for this commercially important species to facilitate its growth in suitable habitats which are likely to sustain under future climatic conditions.

opencc-zeroFeb 2024View details →

openFeb 2024View details →

FleX-RAY project workshop

Data description FleX-RAY aims at enhancing many facets of X-ray imaging for various purposes in fields like medicine, security, food inspection, industrial non-destructive testing (NDT), and nuclear monitoring. The intent behind this project is to develop several key technologies that could help bring into the world a digital X-ray detector that will be: <ul> <li> Adaptable to visualising curved shapes </li> <li> Able to self report its final shape </li> <li> Inexpensive to manufacture and maintain </li> <li> Capable of producing high-resolution X-ray images </li> </ul> This repository contains a video capture of the presentations provided to the attendees of the FleX-RAY project workshop on 7th December 2023.   This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 899634.

opencc-by-4.0Mar 2024View details →

Relative sea-level projections for Norway based on IPCC AR6

This dataset contains IPCC AR6 relative sea-level projections tailored to Norway and published in the Norwegian Centre for Climate Services report by Simpson et al. (2024). The projections has been produced by taking the IPCC AR6 relative sea-level projections without the background vertical land motion (VLM) component (Kopp, 2021), which have then been combined with the semi-empirical NKG2016LU VLM model (Vestøl et al., 2019). See Simpson et al. (2024) for more details. References Kopp, R. E. (2021). IPCC AR6 Relative Sea Level Projections without Background Component (Version 20210809) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5967269 Vestøl, O., Ågren, J., Steffen, H., Kierulf, H., & Tarasov, L. (2019). NKG2016LU: A new land uplift model for Fennoscandia and the Baltic Region. Journal of Geodesy, 93(9), 1759–1779. <a href="https://doi.org/10.1007/s00190-019-01280-8">https://doi.org/10.1007/s00190-019-01280-8</a> Simpson, M.J.R., Bonaduce, A., Borck, H.S., Breili, K., Breivik, Ø., Ravndal, O.R., Richter, K., 2024. Sea-Level Rise and Extremes in Norway: Observations and Projections Based on IPCC AR6. Norwegian Centre for Climate Services report 1/2024, ISSN 2704-1018, Oslo, Norway.