cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6wxjntp6nz.1
title: Soil particle size and texture Shaked LTER site, Negev Desert, Israel

description: Weight of sand fractions, g Percentage, % Hydrometer readings Particle Percentage,% Cross-section Shaked LTER site, Negev Desert Israel Biological crusts data summary Shaked LTER site, Negev Desert Israel Hillslope type plot Microhabitat
DOI: 10.17632/r3x9d4fz8x.1
title: HYDROGEOMORPHOLOGICAL CONTROLS ON REACH-SCALE DISTRIBUTIONS OF CICHLID NEST SITES IN A SMALL NEOTROPICAL RIVER

description: Data layers used in models as described in HYDROGEOMORPHOLOGICAL CONTROLS ON REACH-SCALE DISTRIBUTIONS OF CICHLID NEST SITES IN A SMALL NEOTROPICAL RIVER (2020)
DOI: 10.21258/1749508
title: Swiss national forest inventory - Result table No. 897503
DOI: 10.17632/mm6gby482b.1
title: Lack of reproducibility of molecular phylogenetic analysis of Copepoda orders

description: Supplementary figures and additional material for: Mikhailov KV, Ivanenko VN. (2019a) Low support values and lack of reproducibility of molecular phylogenetic analysis of Copepoda orders. BioRxiv: e650507. 10.1101/650507 Figure S1. Maximum likelihood reconstruction with the concatenated alignment of the four genes (18S and 28S rRNA, COI mtDNA and H3 histone) from the study by Khodami et al., 2017. The tree was reconstructed with RAxML using the GTRGAMMAI model optimized separately for the four gene partitions; tree node support values are bootstrap percentages evaluated with 10,000 replicates. Figure S2. Bayesian inference with the concatenated alignment of the four genes (18S and 28S rRNA, COI mtDNA and H3 histone) from the study by Khodami et al., 2017. The tree was reconstructed by MrBayes using the GTR model for the rDNA partitions and the codon models in conjunction with GTR for the protein coding gene partitions; tree node support values are posterior probabilities given as percentage values. Funding: The reanalysis of the dataset was conducted with support of the Russian Foundation for Basic Research (grants #18-04-01192).
DOI: 10.17632/2bp2y5bk86.1
title: The role of proteoglycans in the viscoelastic behaviour of the anterior cruciate ligament

description: It is the hypothesis of this study that proteoglycans (PGs) in the anterior cruciate ligaments (ACLs) might contribute to the structural integrity of the ligaments whilst altering PG content changes the ECM composition. This change may contribute to the decreased structural support in the ACL, resulting in ligament laxity and ACL injury which are believed to be leading causes of joint degeneration and progressive osteoarthritis. The dataset comprises of biochemical, mechanical and statistical data.
DOI: 10.21258/1737813
title: Swiss national forest inventory - Result table No. 899629
DOI: 10.21258/1750254
title: Swiss national forest inventory - Result table No. 898973
DOI: 10.21258/1733781
title: Swiss national forest inventory - Result table No. 893035
DOI: 10.21258/1755030
title: Swiss national forest inventory - Result table No. 897777
DOI: 10.5281/zenodo.4399548
title: Increased sCD163 and sCD14 plasmatic levels and depletion of peripheral blood pro-inflammatory monocytes, myeloid and plasmacytoid dendritic cells in patients with severe COVID-19 pneumonia

description: <strong>Background: </strong>Emerging evidence argues that monocytes, circulating innate immune cells, are principal players in COVID-19 pneumonia. The study aimed to investigate the role of soluble (s)CD163 and sCD14 plasmatic levels in predicting disease severity and characterize peripheral blood monocytes and dendritic cells (DCs), in patients with COVID-19 pneumonia (COVID-19 subjects). <strong>Methods:</strong> On admission, in COVID-19 subjects sCD163 and sCD14 plasmatic levels, and peripheral blood monocyte and DC subsets were compared to healthy donors (HDs). According to clinical outcome, COVID-19 subjects were divided into ARDS and non-ARDS groups. <strong>Results:</strong> Compared to HDs, COVID-19 subjects showed higher sCD163 (p&lt;0.0001) and sCD14 (p&lt;0.0001) plasmatic levels. We observed higher sCD163 plasmatic levels in the ARDS group compared to the non-ARDS one (p=0.002). The cut-off for sCD163 plasmatic level greater than 2032 ng/ml was predictive of disease severity (AUC: 0.6786, p=0.0022; sensitivity 56.7% [CI: 44.1-68.4] specificity 73.8% [CI: 58.9-84.7]). Positive correlation between plasmatic levels of sCD163, LDH and IL-6 and between plasmatic levels of sCD14, D-dimer and ferritin were found. Compared to HDs, COVID-19 subjects showed lower percentages of non-classical (p=0.0012) and intermediate monocytes (p=0.0447), slanDCs (p&lt;0.0001), myeloid DCs (mDCs, p&lt;0.0001) and plasmacytoid DCs (pDCs, p=0.0014). Compared to the non-ARDS group, the ARDS group showed lower percentages of non-classical monocytes (p=0.0006), mDCs (p=0.0346) and pDCs (p=0.0492). <strong>Conclusions:</strong> The increase in sCD163 and sCD14 plasmatic levels, observed on hospital admission in COVID-19 subjects, especially in those who developed ARDS, and the correlations of these monocyte/macrophage activation markers with typical inflammatory markers of COVID-19 pneumonia, underline their potential use to assess the risk of progression of the disease. In an early stage of the disease, the assessment of sCD163 plasmatic levels could have clinical utility in predicting the severity of COVID-19 pneumonia.
DOI: 10.5281/zenodo.4399547
title: Increased sCD163 and sCD14 plasmatic levels and depletion of peripheral blood pro-inflammatory monocytes, myeloid and plasmacytoid dendritic cells in patients with severe COVID-19 pneumonia

description: <strong>Background: </strong>Emerging evidence argues that monocytes, circulating innate immune cells, are principal players in COVID-19 pneumonia. The study aimed to investigate the role of soluble (s)CD163 and sCD14 plasmatic levels in predicting disease severity and characterize peripheral blood monocytes and dendritic cells (DCs), in patients with COVID-19 pneumonia (COVID-19 subjects). <strong>Methods:</strong> On admission, in COVID-19 subjects sCD163 and sCD14 plasmatic levels, and peripheral blood monocyte and DC subsets were compared to healthy donors (HDs). According to clinical outcome, COVID-19 subjects were divided into ARDS and non-ARDS groups. <strong>Results:</strong> Compared to HDs, COVID-19 subjects showed higher sCD163 (p&lt;0.0001) and sCD14 (p&lt;0.0001) plasmatic levels. We observed higher sCD163 plasmatic levels in the ARDS group compared to the non-ARDS one (p=0.002). The cut-off for sCD163 plasmatic level greater than 2032 ng/ml was predictive of disease severity (AUC: 0.6786, p=0.0022; sensitivity 56.7% [CI: 44.1-68.4] specificity 73.8% [CI: 58.9-84.7]). Positive correlation between plasmatic levels of sCD163, LDH and IL-6 and between plasmatic levels of sCD14, D-dimer and ferritin were found. Compared to HDs, COVID-19 subjects showed lower percentages of non-classical (p=0.0012) and intermediate monocytes (p=0.0447), slanDCs (p&lt;0.0001), myeloid DCs (mDCs, p&lt;0.0001) and plasmacytoid DCs (pDCs, p=0.0014). Compared to the non-ARDS group, the ARDS group showed lower percentages of non-classical monocytes (p=0.0006), mDCs (p=0.0346) and pDCs (p=0.0492). <strong>Conclusions:</strong> The increase in sCD163 and sCD14 plasmatic levels, observed on hospital admission in COVID-19 subjects, especially in those who developed ARDS, and the correlations of these monocyte/macrophage activation markers with typical inflammatory markers of COVID-19 pneumonia, underline their potential use to assess the risk of progression of the disease. In an early stage of the disease, the assessment of sCD163 plasmatic levels could have clinical utility in predicting the severity of COVID-19 pneumonia.
DOI: 10.21258/1753696
title: Swiss national forest inventory - Result table No. 896915
DOI: 10.17632/zjpkgm4m2k.1
title: Pheidole fallax data

description: Pheidole fallax is one the most abundant ants in sites where coal mines have undergone rehabilitation and in forests without mine intervention. The impact that this species may have as ecosystem engineer needs to be assessed. We aimed to test whether P. fallax nests have an effect on soil chemical properties, characterize the organic debris found in the refuse piles and describe nest architecture as proxy of bioturbation effect. The study was carried out in areas with 16 and 20 years of rehabilitation in a coal mine in Colombia. Samples were taken from inside the nests, from the external refuse pile and from a control area one meter away from the nest. Chemical analysis and near infrared spectra (NIRS) of the three sample types were obtained. Our results showed that P. fallax use food resources of different trophic levels, being arthropods and seeds the main items in their diet. The NIRS analysis enabled distinguishing the origin of the sample: refuse pile, interior of nest or control soil. The refuse piles of P. fallax had a lower pH and accumulated high contents of Ca + 2, Mg + 2, K + 1 and organic matter, when compared with the other two sites. Three dataframe are provided: (1) organic debris found in the refuse piles, (2) Chemical properties of soils collected in Pheidole fallax (n = 7) nests, coal mine, refuse piles and control soil from 20-y site in Cerrejón mine, located in La Guajira, Colombia and (3) NIRS results analysis of refuse piles (RP), soil of Pheidole fallax nests and control soil (CS), in the plane defined by the first two factors in the 20-y site.
DOI: 10.21258/1736031
title: Swiss national forest inventory - Result table No. 897276
DOI: 10.5281/zenodo.3992699
title: Local seismic tomography of the Middle Tien Shan region

description: The tomography model presented in the paper "Studying the depth structure of the Kyrgyz Tien Shan by using the seismic tomography and magnetotelluric sounding methods" are obtained using the LOTOS code by Koulakov (2009). Here, we present the full version of the code with initial data and parameters used for calculating P and S velocity models beneath the Kyrgyz Tien Shan. This version of the code is adopted for the Windows OS and contains the entire program listing and the full project structure for Microsoft Visual Studio 2010 and Intel Visual Fortran. Detailed description of the code can be found at www.ivan-art.com/science/LOTOS
DOI: 10.5281/zenodo.3992698
title: Local seismic tomography of the Middle Tien Shan region

description: The tomography model presented in the paper "Studying the depth structure of the Kyrgyz Tien Shan by using the seismic tomography and magnetotelluric sounding methods" are obtained using the LOTOS code by Koulakov (2009). Here, we present the full version of the code with initial data and parameters used for calculating P and S velocity models beneath the Kyrgyz Tien Shan. This version of the code is adopted for the Windows OS and contains the entire program listing and the full project structure for Microsoft Visual Studio 2010 and Intel Visual Fortran. Detailed description of the code can be found at www.ivan-art.com/science/LOTOS
DOI: 10.12760/01-2013-1-07
title: Integration of the pixel and object domain for the mapping of new urban landscapes in the Mediterranean with a focus on outdoor water consumption

description: Land use demands of tourism and residential development drive the spread of leisure infrastructure and new urban landscapes in the Mediterranean. In particular along the coasts, golf courses, irrigated landscaping and swimming pools are becoming characteristic features of already densely populated locations that are among the areas with the greatest water deficits. Against this background, the present paper assesses the potential of different high-resolution imagery in combination with innovative image analysis techniques for an automated, targeted mapping of water-related urban features. The mapping task is conducted with WorldView-2, IKONOS and airborne imagery in three different urban study areas in Spain and Greece. Object-based feature extraction and the Random Forests algorithm are applied to the classification problem of separating turf grass, swimming pools, other vegetation and non-vegetated areas. The classifier performance is evaluated against susceptibility to reduced training set size and high-dimensional features spaces, variations in the training set (stability of results), varying feature subspaces, and the inclusion of uncertain - hence potentially mislabelled - pixels in the model calibration stage. The results indicate that best discrimination can be obtained if complementing the standard spectral feature space by object features from multi-scale segmentation. Furthermore, it is confirmed that Random Forests can handle high-dimensional feature spaces with large amounts of potentially redundant or irrelevant features. Comparing the results across image sources and study areas reveals different quality levels, but indicates that water-related urban landscape elements can be mapped, if the remote sensing imagery meets several requirements such as very high spatial resolution.
DOI: 10.21258/1724033
title: Swiss national forest inventory - Result table No. 898534
DOI: 10.21258/1754676
title: Swiss national forest inventory - Result table No. 899273
DOI: 10.21258/1737180
title: Swiss national forest inventory - Result table No. 891724
DOI: 10.17632/843h7jyfc8.1
title: Supplemental Table 1

description: Supplemental Table 1 for "Targeting the Opioid Pathway for the Treatment of Uremic Pruritus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials"
DOI: 10.21258/1764488
title: Swiss national forest inventory - Result table No. 897552
DOI: 10.21258/1738975
title: Swiss national forest inventory - Result table No. 898773
DOI: 10.21258/1757652
title: Swiss national forest inventory - Result table No. 902252
DOI: 10.17632/jc46vyk76v.1
title: Water in FMC and AVP pyroxenites

description: Presence of FTIR spectra of clinopyroxenes, orthopyroxenes and garnets of French Massif Central (France) and Adamawa Volcanic Plateau (Cameroon) pyroxenites. In the table, there is the integral absorption values of mean spectra, which are defined from all spectra in the figure "All_Spectra.pdf".
DOI: 10.17632/zf95gwjjmk.1
title: Raw data on samples of the canned tuna and canned sardines sold in Brazil

description: The dataset reports six metals (Al, Ba, Ca, Cu, Fe, and Zn), one nonmetal (Se), and one metalloid (As) quantified in the samples of canned tuna and canned sardines sold in Brazil. Data was obtained using inductively coupled plasma optical spectrometry (ICP OES). In detail, the dataset presents: - Canned tuna 1) Four brands of Brazilian companies that sell canned tuna (G, C, O, and P) were selected; 2) The following types of canned tuna were considered: natural grated tuna (NGT), oil grated tuna (OGT), solid natural tuna (SNT), and solid tuna in oil (STO); 4) Data on canned tuna in the table is presented as NGT-G = natural grated tuna of company G, NGT-C = natural grated tuna of company C, NGT-O = natural grated tuna of company O, NGT-P = natural grated tuna of company P, OGT-G = oil grated tuna of company G, OGT-C = oil grated tuna of company C, OGT-O = oil grated tuna of company O, OGT-P = oil grated tuna of company P, SNT-G = solid natural tuna of company G, SNT-C = solid natural tuna of company C, STO -O = solid natural tuna of company O, STO -P = solid natural tuna of company P, STO -G = solid tuna in oil of company G; STO-C = solid tuna in oil of company C, STO -O = solid tuna in oil of company O, STO-P = solid tuna in oil of company P; - Canned sardines 1) Ten samples of two batches of canned sardines were purchased from four brands (G, C, O, P, and Pa); 2) The samples of canned sardines were placed into two groups: sardines canned in oil (SO) and sardines canned in tomato sauce (STS); 3) Data on canned sardines in the table is presented as SO-G = sardines canned in oil of company G, SO-C = sardines canned in oil of company C, SO-O = sardines canned in oil of company O, SO-P = sardines canned in oil of company P, SO-Pa = sardines canned in oil of company Pa, STS-G = sardines canned in tomato sauce of company G,STS-C = sardines canned in tomato sauce of company C, STS-O = sardines canned in tomato sauce of company O, STS-P = sardines canned in tomato sauce of company P, STS-Pa = sardines canned in tomato sauce of company Pa; The data on the samples' contentis presented in triplicates, which were obtained from the analysis made by ICP OES (iCAP 6300 Duo, Thermo Fisher Scientific, Bremen, Germany). All element contents were determined on the fresh weight of the sample; -Data on Limit of detection (LOD):by definition of Limit of Detection (LOD), anything presented as LOD is not detectable by the instrument. On the other hand, ND = not determined; Calcium (Ca) concentrations were higher than the values determined by the calibration curves 2.0 mg/kg. The row in the tables describes chemical elements quantified in canned tuna and canned sardines. Thus, the raw data can be compared with other data published in the literature on canned fish.
DOI: 10.17632/v23zh48krp.1
title: Benchmark dataset of the effect of grain size on strength in the single-phase FCC CrCoNi medium entropy alloy

description: This data article presents the microstructural data as well as the mechanical properties of the CrCoNi medium-entropy alloy (MEA). The data presented in this article are related to the research article entitled “Analysis of strengthening due to grain boundaries and annealing twin boundaries in the CrCoNi medium-entropy alloy”, see Schneider et al. (International Journal of Plasticity 124, 2020, 155-169).
DOI: 10.17632/9thyzzwd5d.1
title: Change Detection of Urban Vegetation Based on Airborne LiDAR: Datasets and Supplementary Materials

description: Dataset of sample territories for the article entitled "Change Detection of Urban Vegetation Based on Airborne LiDAR". These sample datasets are extracts of the original AHN datasets available at https://www.pdok.nl/datasets .
DOI: 10.21258/1745481
title: Swiss national forest inventory - Result table No. 891869
DOI: 10.17632/t7xyspk9wy.1
title: Geothermal play fairway analysis in north-western Argentina

description: This dataset is a compilation of existing and new publicly-available geoscience data that were used to conduct a geothermal play fairway analysis (PFA) in north-western Argentina in the Jujuy and Salta provinces. The 'Model_Input_Datasets' folder includes the original ArcGIS shapefiles and rasters that were used to build the geological favorability models for heat, permeability and fluid. Detailed metadata for each dataset (e.g. provenance; use constraints etc.) can be viewed for each file in ArcCatalog. The 'Area_One' shapefile represents the study area boundary that was used to define the processing extent for the PFA models. The favorability models were built using the ModelBuilder tool in ESRI ArcGIS (this model was run using ESRI ArcMap version 10.7.1). The 'Python_Scripts' folder includes python scripts for building each of the four favorability models (heat, permeability, fluid and overall geothermal favorability). The 'ProcessingNotes_for_PFA_model_development' file (.xlsx or .pdf format) includes a description of the various steps used to weight individual data attribute fields, data layers themselves, and overall model development. This file complements the python scripts. This dataset accompanies a paper submitted to Geothermics by Lindsey et al., 2021, 'Geothermal play fairway analysis in north-western Argentina'.
DOI: 10.21258/1724172
title: Swiss national forest inventory - Result table No. 891896
DOI: 10.17632/85dkdsbv7y.1
title: The role of social media and innovation in financial development

description: Data on 143 countries for social media, innovation and financial development
DOI: 10.17632/8y8728vmxj.1
title: SFR Methodology Case Study Data

description: Forest model output data for a case study of total surface carbon after forest treatment combined with output from fitting a linear regression to modeled estimates of total surface carbon with a three-way-interaction of time, climate change, and treatment, resulting in estimations of total surface carbon at different time periods under different climatic and treatment conditions. The study area for the forest model is 64,433 acres, located approximately 55 miles south of Flagstaff, Arizona on the Mogollon Rim Ranger District of the Coconino National Forest, with 37,667 acres identified for thinning and 63,634 acres identified for prescribed burning. Data on 220 forest plots was provided by the USFS. These plots were originally sampled in 2014 within the study area for the purpose of a National Environmental Policy Act (NEPA) review of proposed forest treatments. The Climate Extension to the Forest Vegetation Simulator modelling program was utilized to model these data at 10-year intervals from 2014 through 2054 with and without treatment under different climate change scenarios. Out of 220 forest plots, data for 189 plots are provided here after data cleaning. A linear regression was fitted to model output data, with total surface carbon (measured in tons per acre) as the dependent variable, using Stata statistical software version 14.2. The equation for this regression is Y_i=β_0+β_rtc X+ε_i where the dependent variable (Y│i) is total forest surface carbon (measured in tons per acre), which was regressed against a three-way-interaction where β_rtc X is a vector that covers year as an ordinal variable (r), forest treatment as a binary variable (t), and climate change scenario as an ordinal variable (c), with forty total combinations as independent predictor variables (X). The parameter β_0 is the total surface carbon intercept, while the unexplained portion of the model is captured by the residuals (ε_i), which are assumed to be normally distributed with a mean of zero. In total, there were forty combinations of treatment, year, and climate change scenario. For each of these combinations, coefficients and the lower and upper bounds of 95% confidence intervals were added to the total surface carbon intercept.
DOI: 10.17632/r3wpkr2brx.2
title: Data for: Optimizing solar access for high-rise residential buildings in high density urban tropics

description: Using parametric modelling, shading effects of 300 urban contexts in four cardinal directions were simulated for simulation models of 11, 21 and 31 floors representing high density, high-rise residential buildings located in Colombo, Sri Lanka. Effects of contextual shading, on cooling energy to mitigate external heat gain (CE), day time lighting energy (LE), solar radiation density (SRD) and spatial daylight autonomy (sDA) was simulated using Rhino5 with DIVA and Archsim plugins.
DOI: 10.17632/f62bfbndym.1
title: X-ray linear dichroic ptychography

description: Biominerals such as seashells, coral skeletons, bone, and enamel are optically anisotropic crystalline materials with unique nano- scale and microscale organization that translates into exceptional macroscopic mechanical properties, providing inspiration for en- gineering new and superior biomimetic structures. Using Seriatopora aculeata coral skeleton as a model, here, we experimentally demonstrate X-ray linear dichroic ptychography and map the c-axis orientations of the aragonite (CaCO3) crystal. Linear dichroic phase imaging at the oxygen K-edge energy shows strong polarization-dependent contrast and reveals the presence of both narrow (&lt;35°) and wide (&gt;35°) c-axis angular spread in the coral samples. These X-ray ptychography results are corroborated by four-dimensional (4D) scanning transmission electron microscopy (STEM) on the same samples. Evidence of co-oriented, but disconnected, corallite subdomains indicates jagged crystal boundaries consistent with formation by amorphous nanoparticle attachment. We expect that the combination of X-ray linear dichroic ptychography and 4D STEM could be an important multimodal tool to study nano-crystallites, interfaces, nucleation, and mineral growth of optically anisotropic materials at multiple length scales.
DOI: 10.21258/1750217
title: Swiss national forest inventory - Result table No. 892997