cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/86wywbx3ps.2
title: Data on N-fixing and Pioneer tree spp

description: Evaluating how different tree species affect the microbial and physicochemical properties of technosols from combustion wastes and reclaimed mine soil (RMS) is vital in species selection to enhance restored ecosystem services. Therefore, the aim of this research was to evaluate the effect of pioneer and N-fixing tree species on the mine soil microbial and physicochemical properties under different substrate types. Common birch (Betula pendula Roth) and scots pine (Pinus sylvestris L.), as the commonly introduced species on RMS in eastern and central Europe, were selected as pioneer species, whereas black alder (Alnus glutinosa (L) Gaernt.) and black locust (Robinia pseudoacacia L.) were selected as N-fixer species. Soil samples were collected from different technosols and RMS developed under three substrates (fly ashes, clay, and sand) and measured for the content of total nitrogen (Nt), organic carbon (Corg), exchangeable calcium (Ca2+), exchangeable potassium (K+), exchangeable magnesium (Mg2+), C to N ratio (C:N), basal respiration rate (RESP) and microbial biomass. The research indicated that tested tree species influenced water holding capacity (WHC), Nt, C:N and RESP value. The highest Nt accumulation in soil was observed under N-fixing, but it did not transfer into higher organic carbon content under N-fixers. The soil under pine had a greater C:N ratio than soil under birch, alder and locust. The RESP rate was highest under birch. In terms of substrate type, RMS developed on Miocene clays exhibited higher carbon and macronutrient contents followed by ashes, whereas sands exhibited the lowest values of both physicochemical and microbial properties. The study suggested that both tree species and substrates affect microbial activities and physicochemical properties of RMS, however, the substrate effect is stronger.
DOI: 10.17632/bzhzr9b64v.1
title: Delhi Multi-Site Air-Quality Data Set 

description: This data set includes hourly air quality data from 6 air quality monitoring  stations of Delhi, India. The data is collected from the Central Pollution Control Board (CPCB), India’s official online portal for the period from 1/6/2018 to 1/10/2019 with 11,704 records for each site. The attributes are Meteorological attributes: Ambient Temperature (AT), Barometric Pressure (BP), Solar Radiation (SR), Relative Humidity (RH),  Wind Speed (WS), Wind Direction (WD)  and Air Pollutant attributes: PM10, PM2.5, NO, NO2, SO2, Ozone, CO, Benzene,  NH3,  NOX. This data could be very well used for air pollutant analysis, evaluations and study of predictive models, pre-trained models for air pollutants. The data is cleaned for using it to apply machine learning, deep learning models.
DOI: 10.17632/4wrnxhxxjf.1
title: A Cortico-basal ganglia-thalamo-cortical Channel Underlying Short-term Memory

description: In this research, we studied the function of cortico-basal ganglia-thalamo-cortical circuit during mice performing a delayed response task. Combined with optogenetics and electrophysiological recordings, we revealed the specific contributions of this circuit during maintaining of short-term memory. 
Here, we provide:
1. Single units, recorded in behavior mice with different optogenetics manipulations, and related behavior data. 
2. MATLAB codes for data analysis.
DOI: 10.17632/yd5yyfwzhd.1
title: Examples Ex a, b, c, d, e, and f containing programs of 3D-RMDP + 3D-Bresenhams +RMF²-two-point Algorithms

description: See Perferct 3D-curve and 3D-Offsets Reference Pulse Interpolation Algorithms using the Relative Minimum Distance to the Olar Line (RMDPL) and its projections (v1). 3D-Bresenham IPOs and RMF²-two-point IPO for higher degree implicit polynomials. Also generation of small 3D-offset curves.
DOI: 10.17632/y6xjbjcgz8.1
title: Docking of Dengue virus type 1 or West Nile Virus surface antigen with SARS-CoV-2 Spike antibody

description: Docking of SARS-CoV-2 Spike antibody with surface antigen of Dengue virus type 1 or West Nile Virus using ClusPro and ZDOCK
DOI: 10.17632/dw4xsjbw69.1
title: Development of Carbon Nanotube/Graphene- Based Alginate Hydrogels for Removal of Antibiotic Pollutants

description: Supplemental data
DOI: 10.17632/9m9f4cfhxy.1
title: FIGURE 8

description: Fig 8h-k  Single XY confocal images of SW756 B3-WT (h-i) or SW756 B3-KO (j-k) treated with DMSO (h, j) or Erastin (i, k) and stained with H2DCFDA (C01), Lysotracker red (C02), Hoescht 33342 (C03). Brightfield images are also shown (C04).
Fig 8r-u transmission electron microscopy images of SW756 B3-WT (r, s) or SW756 B3-KO (t, u) treated with DMSO (r, t) or Erastin (s, u)
DOI: 10.17632/x8sjt25k56.1
title: Protein dataset of human immortalized HaCaT keratinocytes and p53 knockdown HaCaT keratinocytes

description: The p53 protein is encoded by TP53 gene and plays the key role in significant number of cellular processes including proliferation, apoptosis and regulation of many stress response pathways. P53 acts like a direct transcription activator of numerous genes regulating cell cycle arrest, DNA repair, growth inhibition and many others (Mollereau and Ma, 2014). The canonical biological function of p53 is maintaining genome integrity via elimination of damaged or exposed to genotoxic stress cells. 
Immortalized HaCaT cells are widely used for keratinocyte research, since they maintain stable keratinocyte phenotype, have nearly unlimited proliferative potential, do not require specific growth and differentiation factors (Colombo et al., 2017). Also, HaCaT cells produce typical differentiation markers such as cytokeratins K14 and K10, involucrin (Colombo et al., 2017) and respond to keratinocyte differentiation stimuli. Taking together, HaCaT cells have similar to normal human keratinocytes (NHK) properties, however, as many of spontaneously immortalized cell lines HaCaT cells bear two mutant p53 alleles - R282Q and H179Y (Lehman et al., 1993). Mutp53 in HaCaT has an increased affinity to other p53 family members (p63, p73), which significantly expands p53 properties. Moreover, mutp53 indirectly affects specific target genes via protein-protein interactions with other transcription factors (NF-Y, E2F1, NF-KB) or by tethering p63 to new promotor locations (Martynova et al., 2012). 
For more detailed investigation of mutp53 impact on various processes in HaCaT cells we performed a shRNA mediated knockdown of mutp53. For generation of stable TP53 knockdown we employed plasmid vector pLKO-p53-shRNA-941 (Addgene # #25637) followed by puromycin selection of transduced cells. Here we present proteomic dataset obtained from wild type HaCaT cells and p53 knock down HaCaT keratinocytes.
DOI: 10.17632/gvgnvkw4ct.1
title: FIGURE 9

description: Original image files for Figure 9
Figure 9c whole western blots of cell lystates from HT-29 treated with DMSO (UT) or TNFa + BV6 + zVAD-fmk (T) and, HT3 B3-WT and HT3 B3-KO reated with DMSO (UT) or TNFa + BV6 + qVD-oPh + cyclohexamide (T) in the presence or absence of necrostatin-1 (N)
Fig 9d-e confocal images of  HT3 B3-WT (d-e) and HT3 B3-KO (f-g) treated with DMSO ( d, f) or TNFa (T) + BV6 (S) + qVD-oPh (Q) + cyclohexamide (C) (e, g) and stained with Sytox green (C01), Lysotracker (C02) and Hoescht 33342 (C03)
Fig 9n-q TEM images of  HT3 B3-WT (n, o) and HT3 B3-KO (p, q) treated with DMSO (n, p) or TNFa (T) + BV6 (S) + qVD-oPh (Q) + cyclohexamide (C) (o, q)
DOI: 10.17632/6g2typdf63.1
title: FIGURE 6

description: Figure 6c-n Confocal imaging data for HT3 WT or B3-KO cells treated with DMSO (c-h) and STS (i-n) stained with Hoescht 33342 (C05), Annexin V (C01) and Propidium Iodide (C04) 
Figure 6w-z TEM of HT3 WT or B3-KO cells treated with DMSO (w, x) and STS (y, z)
DOI: 10.17632/gnwb39t76k.1
title: FIGURE 4

description: image files for figure 4 
Fig 4 c-n Confocal images of HT3 B3-WT or HT3 B3-KO treated with 100% or 10% DPBS
Fig 4 t-w TEM images of  HT3 B3-WT or HT3 B3-KO treated with 100% or 15% DPBS
DOI: 10.17632/ydt8vccpcd.1
title: Investigating Perceptions of Academic Journals: design qualities and reading experiences 

description: This survey was conducted in 2019 to collect scholarly perspectives about the design qualities and reading experiences of academic journals. This survey was distributed to discipline-specific email listservs, message boards, Slack groups, and social media (Twitter and Facebook) to ensure responses from a range of fields and disciplines. No personal data was collected. This study received approval for human subjects research from both institutions.
DOI: 10.17632/d3zt5zhx49.1
title: A practical guide to writing a radiative transfer code

description: Using our decades-long experience in radiative transfer (RT) code development for Earth science, we endeavor to reduce the knowledge gap of bringing RT from theory to code quickly. Despite numerous classic and recent literature, it is still hard to develop an RT code from scratch within a few weeks. It is equally hard to understand, not to mention modify, an existing “monster” RT code, for which the developer is either located remotely or has retired. Following the format of “Numerical Recipes” by Press et al., we collocate in this paper small pieces of necessary theory with corresponding small pieces of RT code. These are arranged in an order that is natural for code development, which is often opposite of the natural order for laying out the theoretical basis. We focus on the transfer of unpolarized monochromatic solar radiation in a plane-parallel atmosphere over a reflecting surface. Both the surface and the atmosphere are homogeneous (uniform) at all directions. The multiple scattering is numerically solved using the deterministic method of Gauss-Seidel iterations. Except for the presented Python-Numba open-source RT code gsit, the paper does not report any new scientific results, but rather serves as an academic demonstration. If development time is an issue or the reader is familiar with basic concepts of RT theory, we recommend proceeding directly to Sec. 3 “RT code development”.
DOI: 10.17632/nh8fs8h3p9.1
title: Terrigenous and volcanogenic contribution to the deep basin of the South China Sea: evidences from trace elements and Sr-Nd isotopes

description: This original data of paper entitle “Terrigenous and volcanogenic contribution to the deep basin of the South China Sea: evidences from trace elements and Sr-Nd isotopes” .
DOI: 10.17632/zstjrknnnv.1
title: Elevated corticosterone levels are associated with increased immunocompetence in male toads, both when calling and under experimental conditions 

description: Raw data and R scripts used for analyses of the article "Cassettari, Madelaire & Gomes. Elevated corticosterone levels are associated with increased immunocompetence in male toads, both when calling and under experimental conditions. Hormones and Behavior (accepted for publication)".
There are, in the "data" folder, four .csv datasheets, in which results are shown:
G.granulosa_log_Exp2015.csv - Log transformed data of experimental procedures on R. granulosa males in 2015.
Others csv files - results of behavioral, hormonal and immunological parameters obtained for R. granulosa calling males in the field. Each file contains that optimized data sample for the immunological parameter considered.
Complete R scripts used for analyses and Figures are in the "R scripts" folder.
DOI: 10.17632/3svnh2n84r.4
title: Electrical resistivity of Fe and Fe-3 wt%P at 5 GPa with implications for the Moon’s core conductivity and dynamo

description: These data are our original measured resistivity data and calculation data. Our data show that small amounts of phosphorus (~3 wt%) in the lunar core have no significant impact on the core’s thermal conductivity. Also, the model result implies that a thermal-driven lunar dynamo perhaps ended before 3.63-3.88 Ga ago.
DOI: 10.17632/gww2j8zv2w.1
title: codes and Vs database for constructing the hybrid BN models

description: There are three codes and a Vs database for constructing the continuous and hybrid Bayesian network models.
DOI: 10.5281/zenodo.5656866
title: [ITU AI/ML Challenge 2021] Dataset IEEE 802.11ax Spatial Reuse

description: This dataset has been created for the problem statement ITU-ML5G-PS-004 of the ITU AI/ML Challenge (2021 edition). More information can be found here: https://challenge.aiforgood.itu.int/ and https://www.upf.edu/web/wnrg/2021-edition. The dataset contains the information of 3.000 IEEE 802.11ax deployments (divided into two different scenarios) at which the Basic Service Set (BSS) of interest applies different possible OBSS/PD thresholds in the context of the Spatial Reuse (SR) operation. In total, 21 OBSS/PD values are considered for each deployment, and some of the deployments include data from different STA locations. The provided files are expected to be used for training Machine Learning (ML) and Federated Learning (FL) algorithms. More specifically, the dataset is divided as follows: <strong>Scenario 1:</strong> 1,000 different deployments with 2-6 APs and 1 STA per AP. A minimum distance limitation is applied, so that each AP different from AP_A is located at a minimum distance of 10 meters from that one. Each deployment is simulated for each of the 21 possible OBSS/PD thresholds in 11ax. Two files are considered: output_11ax_sr_simulations_sce1.txt: contains the output generated by the simulator for the deployments in Scenario 1. simulator_input_files_sce1.zip: contains the input files used by the simulator to simulate the deployments in Scenario 1. <strong>Scenario 2: </strong>1,000 different deployments with 2-6 APs and 1-4 STAs per AP. No distance limitation is applied. Each deployment is simulated for each of the 21 possible OBSS/PD thresholds in 11ax. Two files are considered: output_11ax_sr_simulations_sce2.txt: contains the output generated by the simulator for the deployments in Scenario 2. simulator_input_files_sce2.zip: contains the input files used by the simulator to simulate the deployments in Scenario 2. <strong>Scenario 3: </strong>1,000 different deployments with 2-6 APs and 1-4 STAs per AP. No distance limitation is applied. Each deployment is simulated for each of the 21 possible OBSS/PD thresholds in 11ax, and for up to 20 different locations of different STAs of the BSS of interest ("BSS_A"). Two files are considered: output_11ax_sr_simulations_sce3.txt: contains the output generated by the simulator for the deployments in Scenario 3. simulator_input_files_sce3.zip: contains the input files used by the simulator to simulate the deployments in Scenario 3. <strong>Test:</strong> 1,000 different deployments with 2-6 APs and 1-4 STAs per AP. No distance limitation is applied. A random OBSS/PD threshold is applied. Two files are considered: output_11ax_sr_simulations_test.txt: contains the output generated by the simulator for the evaluation deployments. The label (throughput) has been replaced with "0s". simulator_input_files_test.zip: contains the input files used by the simulator to simulate the evaluation deployments.
description: Test dataset with actual throughput values (solution of the AI Challenge 2021)
DOI: 10.5281/zenodo.5525748
title: Evaluation of MEMS NIR spectrometers for on-farm analysis of raw milk composition

description: Today, measurement of raw milk quality and composition relies on Fourier-transform infrared spectroscopy to monitor and improve dairy production and cow health. However, these laboratory analyzers are bulky, expensive and can only be used by experts. Moreover, the sample logistics and data transfer delay the information on product quality, and the measures taken to optimize the care and feeding of the cattle rendering them less suitable for real-time monitoring. An on-farm spectrometer with compact size and affordable cost could bring a solution for this discrepancy. This paper evaluates the performance of Micro-Electro-Mechanical-System (MEMS) based near-infrared (NIR) spectrometers as on-farm milk analysers. These spectrometers use Fabry-Pérot interferometers for wavelength tuning, giving them the advantage of very compact size and affordable price. This study discusses the ability of MEMS spectrometers to reach the accuracy limits set by ICAR for at-line analyzers of the milk content regarding fat, protein and lactose. According to achieved results, the transmission measurements with the NIRONE2.5 spectrometer perform best, with an acceptable root mean squared error of prediction (RMSEP=0.21% w/w) for the measurement of milk fat and excellent performance (RMSEP≤0.11% w/w) for protein and lactose. In addition, the transmission measurements using the NIRONE2.0 module give similar results for fat and lactose (RMSEP of 0.21 and 0.10% w/w respectively), while the prediction of protein is slightly deteriorated (RMSEP=0.15% w/w). These results show that the MEMS spectrometers can reach sufficient accuracy for at-line and in-line fat, protein and lactose prediction.
DOI: 10.5281/zenodo.5352059
title: [ITU AI/ML Challenge 2021] Dataset IEEE 802.11ax Spatial Reuse

description: This dataset has been created for the problem statement ITU-ML5G-PS-004 of the ITU AI/ML Challenge (2021 edition). More information can be found here: https://challenge.aiforgood.itu.int/ and https://www.upf.edu/web/wnrg/2021-edition. The dataset contains the information of 3.000 IEEE 802.11ax deployments (divided into two different scenarios) at which the Basic Service Set (BSS) of interest applies different possible OBSS/PD thresholds in the context of the Spatial Reuse (SR) operation. In total, 21 OBSS/PD values are considered for each deployment, and some of the deployments include data from different STA locations. The provided files are expected to be used for training Machine Learning (ML) and Federated Learning (FL) algorithms. More specifically, the dataset is divided as follows: <strong>Scenario 1:</strong> 1,000 different deployments with 2-6 APs and 1 STA per AP. A minimum distance limitation is applied, so that each AP different from AP_A is located at a minimum distance of 10 meters from that one. Each deployment is simulated for each of the 21 possible OBSS/PD thresholds in 11ax. Two files are considered: output_11ax_sr_simulations_sce1.txt: contains the output generated by the simulator for the deployments in Scenario 1. simulator_input_files_sce1.zip: contains the input files used by the simulator to simulate the deployments in Scenario 1. <strong>Scenario 2: </strong>1,000 different deployments with 2-6 APs and 1-4 STAs per AP. No distance limitation is applied. Each deployment is simulated for each of the 21 possible OBSS/PD thresholds in 11ax. Two files are considered: output_11ax_sr_simulations_sce2.txt: contains the output generated by the simulator for the deployments in Scenario 2. simulator_input_files_sce2.zip: contains the input files used by the simulator to simulate the deployments in Scenario 2. <strong>Scenario 3: </strong>1,000 different deployments with 2-6 APs and 1-4 STAs per AP. No distance limitation is applied. Each deployment is simulated for each of the 21 possible OBSS/PD thresholds in 11ax, and for up to 20 different locations of different STAs of the BSS of interest ("BSS_A"). Two files are considered: output_11ax_sr_simulations_sce3.txt: contains the output generated by the simulator for the deployments in Scenario 3. simulator_input_files_sce3.zip: contains the input files used by the simulator to simulate the deployments in Scenario 3. <strong>Test:</strong> 1,000 different deployments with 2-6 APs and 1-4 STAs per AP. No distance limitation is applied. A random OBSS/PD threshold is applied. Two files are considered: output_11ax_sr_simulations_test.txt: contains the output generated by the simulator for the evaluation deployments. The label (throughput) has been replaced with "0s". simulator_input_files_test.zip: contains the input files used by the simulator to simulate the evaluation deployments.
description: Test dataset with actual throughput values (solution of the AI Challenge 2021)
DOI: 10.5281/zenodo.5525747
title: Evaluation of MEMS NIR spectrometers for on-farm analysis of raw milk composition

description: Today, measurement of raw milk quality and composition relies on Fourier-transform infrared spectroscopy to monitor and improve dairy production and cow health. However, these laboratory analyzers are bulky, expensive and can only be used by experts. Moreover, the sample logistics and data transfer delay the information on product quality, and the measures taken to optimize the care and feeding of the cattle rendering them less suitable for real-time monitoring. An on-farm spectrometer with compact size and affordable cost could bring a solution for this discrepancy. This paper evaluates the performance of Micro-Electro-Mechanical-System (MEMS) based near-infrared (NIR) spectrometers as on-farm milk analysers. These spectrometers use Fabry-Pérot interferometers for wavelength tuning, giving them the advantage of very compact size and affordable price. This study discusses the ability of MEMS spectrometers to reach the accuracy limits set by ICAR for at-line analyzers of the milk content regarding fat, protein and lactose. According to achieved results, the transmission measurements with the NIRONE2.5 spectrometer perform best, with an acceptable root mean squared error of prediction (RMSEP=0.21% w/w) for the measurement of milk fat and excellent performance (RMSEP≤0.11% w/w) for protein and lactose. In addition, the transmission measurements using the NIRONE2.0 module give similar results for fat and lactose (RMSEP of 0.21 and 0.10% w/w respectively), while the prediction of protein is slightly deteriorated (RMSEP=0.15% w/w). These results show that the MEMS spectrometers can reach sufficient accuracy for at-line and in-line fat, protein and lactose prediction.
DOI: 10.17632/dwwxzh9xjt.1
title: Rock magnetic data from Younger Giant Dyke Exposures on Tuttutooq, S Greenland

description: Files in the dataset include:
- AMS data (rotated to true geographic orientation)
- Temperature - Susceptibility experimental data (sheets labelled by sample ID)
- IRM - BIRM experimental data (samples labelled by sample ID)