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The data for hydrodynaic-ecosystem-PCBs model resuts for "North-South Discrepancy in the Contributors to CB153 Accumulation in the Deep Water of the Sea of Japan"

The major data for "North-south discrepancy in the contributors to CB153 accumulation in the deep water of the Sea of Japan" are listed as follows:1) The monthly mean concentrations of dissolved and particulate CB153 in the control-run, and the dissolved CB153 concentration in the nobio-run. Data are saved in MATLAB files ("CB153 concentration in the Sea of Japan.mat") with variables of longitude, latitude, depth, Cw_control, Cwpar, and Cw_nobio. 2) The accumulation process of dissolved CB153 from the first year to the 21st year. Data are saved in MATLAB file of "accumulation process from the first year to 21st year.mat".3) Monthly distribution of the remineralization flux of detritus-bound CB153 and the mixed layer depth. Data are saved in the MATLAB file of "remineralization flux of detritus-bound CB153.mat" with variables of longitude, latitude, depth, the mixed layer 3) Distributions of the dissolved CB153 concentrations on different isopycnals and the current velocity. Data are saved in the MATLAB file of "current velocity_density.mat" with variables of longitude, latitude, u,v, and density.

Data for: The Precipitation Response to Warming and CO2 Increase: A Comparison of a Global Storm Resolving Model and CMIP6 Models

Data to reproduce figures in manuscript "The Precipitation Response to Warming and CO$_2$ Increase: A Comparison of a Global Storm Resolving Model and CMIP6 Models" submitted to GRL

openOct 2023View details →

MD data for the article "Structure comparison of beta amyloid peptide Aβ 1-42 isoforms. Molecular dynamics modeling" by Anna P. Tolstova, Alexander A. Makarov, Alexei A. Adzhubei.

There are CMD and REMD trajectories for  Aβ isoforms discussed in the paper together with final coordinate files for these trajectories. The resulting dataset of modeled structures includes wild type Aβ42, isoD7, pS8, D7H and H6R-Aβ42, and wild type Aβ16, isoD7, pS8, D7H and H6R-Aβ16.

Fig. 8 in On the southernmost high Andean scorpion species, with the identification of a cryptic new species of Brachistosternus (Bothriuridae) through morphology, molecular data and species distribution models

Fig. 8. Map of central western Argentina showing the known distribution of Brachistosternus diaguita n. sp. (black circles), Brachistosternus montanus (black stars), and Brachistosternus intermedius (black triangles). The "Diaguita" district of the "Altoandina" biogeographical region is depicted in red, the "Cuyano" district of this region is depicted in blue, the "Puna" biogeographical region is depicted in orange, the "Prepuna" district of the "Monte" biogeographical region is depicted in green, and the Septentrional district of this region is depicted in turquoise.

Fig. 7. Brachistosternus diaguita n in On the southernmost high Andean scorpion species, with the identification of a cryptic new species of Brachistosternus (Bothriuridae) through morphology, molecular data and species distribution models

Fig. 7. Brachistosternus diaguita n. sp., A‒C. Telson. a. male, dorsoexternal aspect; B. male, lateral aspect; C. female, lateral aspect; D‒F. Hemipermatophore. D. left hemispermatophore, external aspect; E. left hemispermatophore, internal aspect; F. right hemispermatophore, internal aspect. Scale bars: 1 mm.

Fig. 5. A in On the southernmost high Andean scorpion species, with the identification of a cryptic new species of Brachistosternus (Bothriuridae) through morphology, molecular data and species distribution models

Fig. 5. A. Brachistosternus intermedius, pedipalp chela, male, internal aspect. B–H. Brachistosternus diaguita n. sp. B‒E. Pedipalp chela, male. B. internal aspect, C. dorsal aspect, D. external aspect, E. ventral aspect; F. Pedipalp chela, female, ventro-internal aspect. G. pedipalp patela, male, external aspect; H. pedipalp femur, male, dorsal aspect. Scale bars: 1 mm.

Fig. 6. A‒F. Metasomal segment V. A‒C. Brachistosternus diaguita n in On the southernmost high Andean scorpion species, with the identification of a cryptic new species of Brachistosternus (Bothriuridae) through morphology, molecular data and species distribution models

Fig. 6. A‒F. Metasomal segment V. A‒C. Brachistosternus diaguita n. sp., male. A. ventral aspect; B. dorso-external aspect, C. dorsal aspect; D. Brachistostenus intermedius, male, ventral aspect; E‒F. Brachistosternus montanus, male, E. dorsoexternal aspect, F. dorsal aspect. Scale bars: 1 mm.

Fig. 3 in On the southernmost high Andean scorpion species, with the identification of a cryptic new species of Brachistosternus (Bothriuridae) through morphology, molecular data and species distribution models

Fig. 3. Potential distribution of Brachistosternus species studied in this contributions A. Brachistosternus diaguita n. sp. B. Brachistosternus montanus. C. Brachistosternus intermedius. Warmer colors show areas with better predicted conditions. Black dots show the presence locations.

Fig. 2. A in On the southernmost high Andean scorpion species, with the identification of a cryptic new species of Brachistosternus (Bothriuridae) through morphology, molecular data and species distribution models

Fig. 2. A. Bayesian phylogeny of selected Brachistosternus species inferred using MrBayes. The values at the nodes are Bayesian posterior probabilities. The scale bar represents the branch lengths in substitutions per site. B. Bayesian species tree with nodeage estimates inferred using *BEAST. The values at the nodes are Bayesian posterior probabilities and the node bars represent the 95% highest posterior densities of the node age estimates. The scale axis is set to show Million years before present.

Fig. 6 in Data from: Dealing with uncertainty in landscape genetic resistance models: a case of three co-occurring marsupials

Fig. 6 Skulls and jaw for Neusticomys vossi sp. nov. (a QCAZ 7830 and b AMNH 244609) and N. monticolus (c AMNH 46574 and d AMNH 64626). a, c are the respective tupe specimens. All skulls are from adult females with closed cranial sutures except for c which is a juvenile male with open sutures

Fig. 2 in Data from: Dealing with uncertainty in landscape genetic resistance models: a case of three co-occurring marsupials

Fig. 2 Phulocenetic tree of sicmodontine rodents based on Cytb (a) and Rbp3 (b) DNA sequences. Bauesian posterior probabilitu values creater than 0.95 are represented bu asterisks placed above the branch

Fig. 1 in Data from: Dealing with uncertainty in landscape genetic resistance models: a case of three co-occurring marsupials

Fig. 1 Graphical representation of the PCA analuses (a, b) and LDA analusis (c, d). Vectors labeled as in Table 1. a, c Samples identified bu localitu and ace. Eastern samples (N. vossi sp. nov.: V) are light gray, western samples (N. monticolus: M) are dark gray, specimens from Antioquia (N. monticolus: M1) are mid-gray. Adults (fused craniosutures) are circles, and subadults (closed craniosutures) are triangles. b, d Samples identified bu localitu and sex. Location sumbols same as above, females—circles, males—triangles

Fig. 3 in Data from: Dealing with uncertainty in landscape genetic resistance models: a case of three co-occurring marsupials

Fig. 3 Map of recordinc localities of specimens of Neusticomys analuzed in the present studu. Eastern samples (N. vossi sp. nov.: V) are circles, western samples (N. monticolus: M) are squares, and specimens from Antioquia (N. monticolus: M1) are triangles

Supplementary data and code for "A network toxicology approach for mechanistic modelling of nanomaterial hazard and adverse outcomes"

This repository contains the relevant data and code supporting the study "A network toxicology approach for mechanistic modelling of nanomaterial hazard and adverse outcomes". Files are password protected during the revision process. A completely public version of the repository will be availble after the revision process is completed.  In detail, the uploaded archive folder contains the following data sources: <ul> <li>the relevant code and supporting data (code_to_upload and supporting_data);</li> <li>supplementary materials of the paper, including: <ul> <li>individual enrichment results of the 93 exposures to the 31 ENMs (enrichments_results);</li> <li>comparison between the mechanism of action retrieved from differentially expressed genes and network modelling (network_comparison_results);</li> <li>overrepresented network edges in categories of networks (overrepresented_structures)</li> </ul> </li> </ul>

Data from: Where consumers control plant reproduction in coastal wetlands: the environmental stress model in plants' versus consumers' perspectives

This is the data set for the paper entitled "Where consumers control plant reproduction in coastal wetlands: the environmental stress model in plants’ versus consumers’ perspectives" upcoming in the Journal of Ecology. The metadata for interpreting the data set are included in the Excel file.

OpenET model data for assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications

<h2>Overview</h2> This dataset includes daily and monthly evapotranspiration (ET) data from the remote sensing models that comprise the [OpenET](https://openetdata.org/) ensemble as described in Melton et al., 2022 (https://doi.org/10.1111/1752-1688.12956); these data were extracted at specific locations within the contiguous United States that coincide with *in situ* measurement stations, including eddy covaraiance, Bowen-ratio, and lysimeter stations. Model ET data where extracted at each site in this dataset using flux footprints as described in Volk et al., (2023) (https://doi.org/10.1016/j.agrformet.2023.109307). These model data alongside the corresponding *in situ* ET data (https://doi.org/10.1016/j.dib.2023.109274) were subsequently used in the manuscript for the OpenET Phase II Intercomparison and Accuracy Assessment (https://doi.org/10.1038/s44221-023-00181-7).  <h3> Description of the data and file structure</h3> The dataset is in a compressed (zipped) archive titled "OpenET_PhaseII_model_ET_dataset", so first it needs to be downloaded and extracted. The dataset is comprised of just three files. The first file is a Microsoft Excel file "Station_metadata.xlsx" that contains information about the *in situ* ET measurement stations where the OpenET model data was extracted. This file contains information such as site ID's, coordinates, land cover information, and site principal investigator (PI) contact information. Again, the corresponding *in situ* ET data are not included in this dataset. The other two files are tab-delimited text files containing timeseries the OpenET model data themselves, namely the daily ET [mm/day] and monthly ET [mm/month] as extracted for each model and the ensemble value as used in the OpenET Phase II Intercomparison and Accuracy Assessment.  <h3> Access information and code/software</h3> OpenET data that was used here was produced using operational methods that are implemented on the Google Earth Engine platform. Monthly OpenET model data can be retrieved through Google Earth Data Catalog (e.g., https://developers.google.com/earth-engine/datasets/catalog/OpenET_ENSEMBLE_CONUS_GRIDMET_MONTHLY_v2_0) or through the [online data explorer](https://openetdata.org/) or using the [OpenET API](https://openetdata.org/api-info/).

opencc-by-4.0Nov 2023View details →

Data and structures for "How accurately can we predict binding poses with AlphaFold models?

Contains structures generated by AlphaFold, models from GPCRdb, and structures of proteins from PDB.  Additionally computed rmsds for pockets, backbone, and poses, and scripts to create figures.

Dataset for "Enhanced Regional Ocean Ensemble Data Assimilation Through Atmospheric Coupling in the SKRIPS Model"

Open the record for dataset details and reuse information.

Tripartite quantum Rabi model with trapped Rydberg ions data

Open the record for dataset details and reuse information.

QMC Raw Data for Disentangling the Physics of the Attractive Hubbard Model via the Accessible and Symmetry-Resolved Entanglement Entropies

Data Summary Raw data of 'Disentangling the Physics of the Attractive Hubbard Model via the Accessible and Symmetry-Resolved Entanglement Entropies'. The default Julia RNG generates random seeds, with the seed number corresponding to the last four digits of each file name.. For more details, please check README.md on the GitHub repository. The scripts for processing the raw data are located in the data folder within the same repository.