Find research datasets worth reusing

opencc-by-4.0Aug 2022View details →

List of the articles about the Polish Deal

List of articles about the “Polish Deal” (tax reform introduced in Poland in 2021) published in the three most opinion-forming Polish newspapers during public consultation of the reform.

opencc-by-4.0Jan 2023View details →

Supplemental data to the article "New insight into Cenozoic Orbitestellidae (Gastropoda: Heterobranchia) from the Magellanic Region based on lower Neogene and Recent species"

Datase contains all the information about Orbitestellidae species described to date.

opencc-by-4.0Jan 2023View details →

CMIP6 data for the analysis in the article "Storylines of Maritime Continent dry period precipitation changes under global warming"

The files include the data required to generate the figures based on CMIP6 model simulation outputs

Meridional wave power distribution data for article "Latitudinal Dependence of Ground VLF Transmitter Wave Power in the Inner Magnetosphere"

The data are the meridional wave power distribution for the four VLF transmitters: NWC, NAA, NML, and NLK in the inner magnetosphere. Each transmitter has a .mat file, and in each data file, we provide the meridional wave power distribution for both ray tracing simulation (parameter "rt") and ERG observation (parameter "erg"). In each distribution data, the variables "x2d" and "z2d" are the cartesian coordinates in the meridional plane in the unit of Re (the Eearth's radius). x2d=r*cos(theta) and z2d=r*sin*(theta), where r is the radius from the Earth's center, and theta is the magnetic latitude. The variable "power" is the corresponding transmitter wave power in the unit of V^2/m^2.

Steady-state and time-resolved data for the article "Genetically encoded non-canonical amino acids reveal asynchronous dark reversion of chromophore, backbone and side-chains in EL222"

1. Steady-state data Spectra were taken with/without continuous irradiation with a wavelength of 450 nm. 1.1 CNF absorption region (2200-2260 cm-1) 1.2. Amide absorption region (1500-1800 cm-1) 1.3. UV/Visible absorption region (320-550 nm) Each spectral region has 3 datasets: - DARK - LIT (photostationary state) - DIFFERENCE (lit-minus-dark) The first row contains the variants. The first column contains the wavenumber (in cm-1) or wavelength (in nm). 2. Time-resolved data. Dark recovery reaction after switching lights off (wavelength of 450 nm). 2.1. EL222_WT_H2O 2.2. EL222_WT_D2O 2.3. EL222_W31CNF 2.4. EL222_L35CNF 2.5. EL222_N53CNF 2.6. EL222_Y136CNF 2.7. EL222_M151CNF 2.8. EL222_L216CNF 2.9. EL222_LOV_H2O 2.10. EL222_LOV_D2O For each variant we have measured 3 spectral regions (except for 2.1, 2.2., 2.9 and 2.10, which lack CNF): - CNF: 2200-2270 cm-1 - AMIDE: 1500-1750 cm-1 - UVVIS: 320-550 nm For each probe we have 2 datasets: - DATA: the experimental lit-minus-dark absorbance difference spectra.  The first row contains the time delays (in seconds). The first column contains the wavenumbers (in cm-1) or wavelength (in nm). - LDA: the lifetime density maps calculated from the corresponding DATA using the inverse Laplace transform and maximum entropy penalty. The first row contains the lifetimes (in seconds). The first column contains the wavenumbers (in cm-1) or wavelength (in nm). If you use these datasets please cite: Chaudhari, A.S.; Chatterjee, A.; Domingos, C.A.O.: Andrikopoulos, P. C.; Liu, Y.; Andersson, I.; Schneider, B.; Lórenz-Fonfría, V.A.; Fuertes, G. Genetically Encoded Non-canonical Amino Acids Reveal Asynchronous Dark Reversion of Chromophore, Backbone and Side-chains in EL222. Protein Science. 2023 <a href="https://doi.org/10.1002/pro.4590">https://doi.org/10.1002/pro.4590</a>

Data for the article "Organic farming increases functional diversity and ecosystem service provision of spontaneous vegetation in Mediterranean vineyards"

Research data for the article "Organic farming increases functional diversity and ecosystem service provision of spontaneous vegetation in Mediterranean vineyards" made by Roser Rotchés-Ribalta, Joan Marull and Joan Pino published in Ecological Indicators. It includes: - Species and functional diversities of spontaneous plant species in the different plots surveyed per field - The cover of each species per plot in each field - The functional traits used for each species - The physico-chemical soil data of each plot per field

Dataset related to article "BEHAVIORAL AND COGNITIVE PHENOTYPES OF PATIENTS WITH AMYOTROPHIC LATERAL SCLEROSIS CARRYING SOD1 VARIANTS"

ngs_analysis performedn as part of the study mentioned at title

opencc-zeroMar 2023View details →

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Data for the article: Trophic niche partitioning between two prey and their incidental predators revealed various threats for an endangered species

Documenting trophic niche partitioning and resource use within a community is critical to evaluate underlying mechanisms of coexistence, competition or predation. Detailed knowledge about foraging is essential as it may influence the vital rates, which, in turn, can affect trophic relationships between species and population dynamics. The aims of this study were to evaluate resource and trophic niche partitioning in summer/autumn between the endangered Atlantic-Gaspésie caribou (Rangifer tarandus caribou) population, moose (Alces americanus) and their incidental predators, the black bear (Ursus americanus) and coyote (Canis latrans), and to quantify the extent to which these predators consumed caribou. Bayesian isotopic analysis showed a small overlap in trophic niche for the two sympatric ungulates suggesting a low potential for resource competition. Our result also revealed that caribou occupied a larger isotopic niche area than moose, suggesting a greater diversity of resources used by caribou. Not surprisingly, coyote consumed mainly deer (Odocoileus virginianus), moose, snowshoe hare (Lepus americanus), and occasionally caribou, while bears consumed mainly vegetation and, to a lesser extent, moose and caribou. As coyotes and bears also feed on plant species, we documented trophic niche overlap between caribou and their predators, as searching for similar resources can force them to use the same habitats and thus increase the encounter rate and, ultimately, mortality risk for caribou. Although the decline of the Gaspésie caribou population is mostly driven by habitat-mediated predation, we found evidence that the low level of resource competition with moose added to the shared resources with incidental predators, mainly bears, may contribute to jeopardize the recovery of this endangered caribou population. Highlighting the trophic interaction between species is needed to establish efficient conservation and management strategies to insure the persistence of endangered populations. The comparison of trophic niches of species sharing the same habitat or resources is fundamental to evaluate the mechanisms of coexistence or competition and eventually predict the consequences of ecosystem changes in the community.

Replication package for the article "Who chooses fast-track programs in mathematics? The role of class origin, ethnicity, and gender among Norwegian lower-secondary students", submitted to European Societies.

This file contains a replication package for the article "Who chooses fast-track programs in mathematics? The role of class origin, ethnicity, and gender among Norwegian lower-secondary students", submitted to European Societies **************************************************************************************************************************************** The analyses in this article are of secondary data from Norwegian state registers. We analyzed the data with concession from The Norwegian Data Protection Authority, and under the auspices of a confidentiality agreement with Statistics Norway. All direct identifiers were stripped from the file prior to analysis. Data were handled in such a way as to protect individual’s privacy and confidentiality. This included storing these data on a secure Research Computing server and requiring each researcher working with the data to sign a confidentiality affidavit. Other parties may not access the data because it would violate the concession given by The Norwegian Data Protection Authority, and the confidentiality agreement with Statistics Norway. This prevents us from uploading the data to a public repository.  Researchers may apply to get access to such data, and the procedure one needs to follow is described at Statistics Norway’s webpage:  https://www.ssb.no/en/data-til-forskning/utlan-av-data-til-forskere

Data for the Journal article "Reduced whereas still noteworthy atmospheric pollution of trace elements in China"

This dataset provides the trace elements emission inventory with 27km resolution for China in 2017, the model simulated concentrations of trace elements for China in 2017 and the associated health risks of trace elements for China in 2017.

Anti-cytokine storm activity of fraxin and quercetin, alone and in combination, and their possible molecular mechanisms via TLR4 and PPARγ signaling pathways in LPS-induced RAW 264.7 cell line article data

Anti-cytokine storm activity of fraxin and quercetin, alone and in combination, and their possible molecular mechanisms via TLR4 and PPARγ signaling pathways in LPS-induced RAW 264.7 cell line article data

NMR data related to the Faraday Discussion article

Solid state NMR spectra from figures 3 and 4.

openMar 2023View details →

Research data related to the article "Paleo-Hydrogeological Modeling to Understand Present-Day Groundwater Salinities in a Low-Lying Coastal Groundwater System (Northwestern Germany)"

Research Data related to the publication "Paleo-Hydrogeological Modeling to Understand Present-Day Groundwater Salinities in a Low-Lying Coastal Groundwater System (Northwestern Germany)" by Seibert et al. (2023) published in Water Resources Research Dear reader, research data are provided for the article "Paleo-Hydrogeological Modeling to Understand Present-Day Groundwater Salinities in a Low-Lying Coastal Groundwater System (Northwestern Germany)" by Seibert et al. (2023). The authors hope that the research data allows for a better understanding of the paleo-modeling workflow. Feedback on the model files or questions regarding the modeling approach etc. can be addressed to the authors of the article, see contact details below. The research data comprises the following files: <ul> <li>files related to the parameter estimation procedure using PEST (Doherty, 2021a,b) (see subfolder "parameter_estimation")</li> <li>iMOD-Python (Visser and Bootsma, 2019) scripts to create the iMOD-WQ (Verkaik et al., 2021) input files for each model variant. Note that model variants consist of several time slice models, indicated by the corresponding file names, e.g., 'Model_BC_slice_01.py' etc. (see 'scripts.zip' in the subfolders 'Model BC', 'Model CP', 'Model NE-ND-NP', 'Model NE-NP', 'Model NG', 'Model NP', 'Model R1', 'Model R2', 'Model R3', 'Model R4', 'Model R5', 'Model R6', 'Model SS')</li> <li>simulation output files, including concentration and head data for each model stress period (3-D), mean/max. concentration and head data for each model stress period (2-D), as well as depth [mbgs] of different salinity interfaces (2-D), i.e., marking the transitions from fresher to more saline groundwater using thresholds of 0.45 ('depth_interface_mbgs'), 1, 5, 10 and 20 g TDS L-1, respectively (see subfolders 'output/npy_arrays' within each model variant subfolder). Moreover, sea levels, time slice names and stress period numbers are provided in the 'output/npy_arrays' subfolders as well as final concentrations and heads (3-D) for each time slice model of each model variant (e.g., 'Model_BC_slice_01_final_concentrations.npz' and 'Model_BC_slice_01_final_heads.npz'; see 'output.zip' in the model variant subfolders)</li> <li>iMOD-Python (Visser and Bootsma, 2019) input files, such as digital elevation models, geologic models etc. (see subfolder 'imod_input'). However, in most cases no consent for re-distribution of these data sets exists, and they cannot be made freely available through this publication. Please, consult the corresponding meta-data files or get in touch with one of the authors for further information</li> <li>bash scripts for the execution of iMOD-Python .py- and iMOD-WQ .run-files in a linux environment (see subfolder 'bash_scripts')</li> <li>figure files as well as the corresponding .py and .m scripts and shape-files, where applicable (see subfolder 'figures'); note that consent for re-distribution for some figure input files doesn't exist, compare corresponding meta-data files</li> <li>videos presenting the concentration evolution of the different model variants (vertically averaged concentrations & cross-sectonal view, see subfolder 'videos')</li> </ul> Meta-data files are usually provided with data files in the different subfolders for clarification. iMOD-WQ (Verkaik et al., 2021) input data and .run-files were executed on the University Oldenburg High-Performance Cluster 'Carl', running simulations in parallel with 32 computational cores. Further information on the iMOD suite can be found here: https://deltares.github.io/iMOD-Documentation/ Literature: Doherty, J. E., (2021a). PEST Model-Independent Parameter Estimation User Manual Part I: PEST, SENSAN and Global Optimisers. Watermark Numerical Computing. p.394. Doherty, J. E. (2021b). PEST Model-Independent Parameter Estimation User Manual Part II: PEST Utility Support Software. Watermark Numerical Computing. p.274. Verkaik, J., Hughes, J. D., van Walsum, P. E. V., Oude Essink, G. H. P., Lin, H. X., & Bierkens, M. F. P. (2021). Distributed memory parallel groundwater modeling for the Netherlands Hydrological Instrument. Environmental Modelling & Software, 143, p.105092. Visser, M., & Bootsma, H. (2019). iMOD-Python: Work with iMOD MODFLOW models in Python. Retrieved from https://imod.xyz/ If you have further questions, please, contact one of the following authors: Stephan L. Seibert (stephan.seibert@uol.de), Janek Greskowiak (janek.greskowiak@uol.de) or Gudrun Massmann (gudrun.massmann@uol.de)

Quantification data for article entitled "ATG9 vesicles comprise the seed membrane of mammalian autophagosomes"

Membrane fractionation, immunoprecipitation, and in vitro experiment densitometric quantification datasheets for quantified data presented in the research article entitled "ATG9 vesicles comprise the seed membrane of mammalian autophagosomes". Membrane fractions (Figures 3, 4, S4, and S5) were from WT cells (starvation + bafiomycin A1 and basal conditions), ATG2 DKO cells, FIP200 KO cells, ATG9A KO cells, ATG3 KO cells, and ATG4 QKO cells (all KO cells under basal conditions). Immunoprecipitations (Figures 6 and S5) were from WT cells (starvation + bafiomycin A1) and ATG2 DKO cells (basal). Guanidine hydrochloride (GdnHCl) sequential immunoprecipitations (Figure 6) were from WT cells (starvation + bafiomycin A1). In vitro experiments (Figure S5) were using recombinant proteins on reconstituted liposomes.

Translating Non-Binary Coming-Out Reports: Gender-Fair Language Strategies and Use in News Articles

Materials used for the "Translating Non-Binary Coming-Out Reports: Gender-Fair Language Strategies and Use in News Articles" paper appeared in the Journal of Specialised Translation, issue 40.  The .xlsx files contain links to the analysed texts as well as a first annotation that was refined in SPSS (see .sav files).

Anti-cytokine storm activity of fraxin and quercetin, alone and in combination, and their possible molecular mechanisms via TLR4 and PPARγ signaling pathways in LPS-induced RAW 264.7 cell line article data

opencc-by-4.0Jan 2023View details →

Code and model outputs for article "Assessing the potential of backscattering as a proxy for phytoplankton carbon biomass"

Scripts from the scientific article "Assessing the potential of backscattering as a proxy for phytoplankton carbon biomass" Submitted to Global Biogeochemical Cycles Camila Serra-Pompei, Anna Hickman, Gregory L. Britten, Stephanie Dutkiewicz This repository contains all the files needed to run the MITgcm Biogeochemical and Optical model (MITgcmBgc, a.k.a. The Darwin model) and generate the figures in the paper. Model outputs are also provided, so there is no need to run the entire model to generate the figures. The main folder "codes_phyto_bbp_paper.zip" contains all the files to process model output and reproduce the figures from the paper. The main files are:     - "Script_main.m" loads and processes model outputs and generates figures 2 to 9.     - "Script_new_optical_params" generates the optical parameters that are used as inputs in the MITgcmBgc model. It also generates figure 1.     - "Script_sensitivity_analysis" Performs offline sensitivity analysis and figure 10. The "mitgcm_darwin_3.zip" folder contain the code of the MITgcm with the Biogeochemical and Optical modules (Darwin package), with the configurations used in this study. Explanations of the model can be found in https://darwin3.readthedocs.io/en/latest/phys_pkgs/darwin.html  These folders also contain the BGC-Argo floats data and climatological bbp and Chl NASA MODIS-Aqua GIOP data used in this study. The BGC-Argo data used in this article (download date: 27/10/2021) is available in "Other_extra_files/Argo_matrix.mat". The BGC-Argo data were collected and made freely available by the International Argo Program and the national programs that contribute to it (https://argo.ucsd.edu,  https://www.ocean-ops.org, https://doi.org/10.17882/42182).  The Argo Program is part of the Global Ocean Observing System. BGC-Argo float data was extracted using the BGC-Argo-Mat Matlab toolbox (Frenzel et al. 2021). The MODIS-Aqua satellite remote sensing data used in this article (download date: 23/12/2022) is available here in the folder "nasa_data". Satellite remote sensing data was extracted from NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group; (2014): MODIS-Aqua Ocean Color Data; NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group. http://dx.doi.org/10.5067/AQUA/MODIS_OC.2014.0

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Data for the article: Trophic positions of soil microarthropods in forests increase with elevation, but energy channels remain unchanged

Mountain forests are at risk as the consequences of climate change will likely lead to altered tree species boundaries. Characterizing food webs along elevational gradients in primary forests may help to predict potential consequences of such changes. The soil food web provides nutrients to plants through decomposition of dead organic matter. Changes in the soil food web with elevation are poorly characterized and most studies focus on community composition of microbes and individual arthropod taxa. Here, for the first time we studied trophic variations in two of the species rich microarthropod taxa, Collembola and Oribatida, along an elevational gradient of primary forest in Northeast China, Changbai Mountain. Samples were taken at seven elevations of 150 m elevational difference between 800 and 1700 m. At each elevation eight subplots were established and Collembola and Oribatida were extracted from litter samples. We applied three state-of-the-art methods to elucidate trophic positions and basal resource use of both taxa at community level: bulk stable isotope analysis of nitrogen and carbon (SIbulk), compound-specific stable isotope analysis of amino acids (CSSIA-AA) and dietary routing through neutral lipid fatty acids (NLFA). Δ15Nbulk and trophic position calculated using CSSIA-AA (TPCSSIA) both increased with elevation in both taxa. Stable isotope mixing models using δ13C of essential amino acids indicated saprotrophic fungi as most important resource at most elevations for both taxa. Also, proportions of marker NLFAs changed little across elevations in both taxa, however, in Collembola the contribution of bacterial markers was generally higher than in Oribatida. Δ13Cbulk did not respond linearly to the elevational gradient; however, changes with elevations differed between Collembola and Oribatida. A strong linear relationship between δ15N of phenylalanine in consumers and δ15N of litter indicated litter as basal resource of both taxa. Overall, the results suggest that food web functioning likely changes with changing forest types along elevational gradients with microarthropods switching from feeding at the base of the food web to feeding at higher trophic levels potentially compromising their role in litter decomposition and nutrient cycling.

opencc-zeroApr 2023View details →

Raw data for the article Donor-Acceptor Aminocyclobutane Monoesters: Synthesis and Silylium-Catalyzed (4+2) Annulation with Indoles

Raw computational, NMR, IR and MS  data  for the article "Donor-Acceptor Aminocyclobutane Monoesters: Synthesis and Silylium-Catalyzed (4+2) Annulation with Indoles " published in Angew. Chem., Int. Ed., DOI:  <a href="https://doi.org/10.1002/anie.202302420">https://doi.org/10.1002/anie.202302420</a>  The number of the folders either correspond to compounds numbers in the article or the name of the folder is self-describing. All details concerning conditions and equipment for measurements can be found in the supporting information of the article.

Data accompanying the article "Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019–2020"

The .zip file contains temporal-spatial averaged metrics for evaluating simulations against observed ice thickness, concentration, volume, and drift. These quantities are presented in the manuscript "Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019–2020" Subfolders are named by the experiment IDs, including metrics obtained from the relevant experimental results and observations. In case information is missing, do not hesitate to contact chengsukun@hotmail.com We thank Pavel Sakov for helpful discussions and improvement regarding the EnKF-C code and Jiping Xie for contributing the TOPAZ interface to sea ice observations. We are grateful for the support from Timothy Williams and Anton Korosov regarding the environments of neXtSIM and its analysis tools. The work is funded by the DASIM-II grant from ONR (grant nos. N00014-18-1-2493 and N00014-18-1-2204). Alberto Carrassi, Christopher K. R. T. Jones, Ali Aydo ̆gdu, and Pierre Rampal acknowledge the support of the project SASIP funded by Schmidt Futures – a philanthropic initiative that seeks to improve societal outcomes through the development of emerging science and technologies. Sukun Cheng and Laurent Bertino were co-funded by the FOCUS project from the Research Council of Norway (grant no. 301450), and Alberto Carrassi and Yumeng Chen are also supported by the UK National Centre for Earth Observation (grant no. NCEO02004). Computations were carried out on the Norwegian Supercomputing InfrastructureSigma2 (grants nn2993k for computing and NS2993K for data storage)