Find research datasets worth reusing

opencc-by-4.0Oct 2021View details →

Diversity and compositional changes in the gut microbiota of wild and captive vertebrates: a meta-analysis

Bioinformatic code, data files, raw figures and data accessibility table associated to the manuscript "Diversity and compositional changes in the gut microbiota of wild and captive vertebrates: a meta-analysis".

opencc-by-4.0Oct 2022View details →

Data from: "Lithium-ion battery degradation: measuring rapid loss of active silicon in silicon-graphite composite electrodes"

Dataset from the publication "Lithium-ion battery degradation: measuring rapid loss of active silicon in silicon-graphite composite electrodes". Full experimental details can be found in the related publication in ACS Applied Energy Materials: <a href="https://doi.org/10.1021/acsaem.2c02047">https://doi.org/10.1021/acsaem.2c02047</a> Commercial 21700 cylindrical cells (LG M50T, LG GBM50T2170) were cycle aged under 3 different temperatures [10, 25, 40] °C and 2 SoC ranges [0-30, 0-100]%, with multiple cells tested under each condition. Cells were base-cooled at set temperatures using bespoke test rigs (see pubilcation for details). All electrochemical data were recorded using a Biologic BCS-815 battery cycler.   Break-in cycles: Prior to any ageing or performance checks, all cells were subject to 5 full charge-discharge cycles as part of the break-in procedure. This consisted of a 0.2C charge to 4.2 V with CV-hold till C/100, and 0.2C discharge to 2.5 V (repeated for 5 cycles). Cells were rested under open circuit conditions for 2 hours after each charge and 4 hours after each discharge. These break-in cycles were performed at 25°C for all cells.   Ageing Conditions: <table align="center"> <caption>Ageing Conditions</caption> <thead> <tr> <th scope="col">Expt</th> <th scope="col">SoC Range</th> <th scope="col">C-rate</th> <th scope="col">Temperature</th> <th scope="col"># of cells</th> <th scope="col">Cell IDs</th> </tr> </thead> <tbody> <tr> <td>1</td> <td>0-30%</td> <td>0.3C / 1D</td> <td>10°C</td> <td>3</td> <td>A, B, J</td> </tr> <tr> <td>1</td> <td>0-30%</td> <td>0.3C / 1D</td> <td>25°C</td> <td>3</td> <td>D, E, F</td> </tr> <tr> <td>1</td> <td>0-30%</td> <td>0.3C / 1D</td> <td>40°C</td> <td>3</td> <td>K, L, M</td> </tr> <tr> <td>5</td> <td>0-100%</td> <td>0.3C / 1D</td> <td>10°C</td> <td>3</td> <td>A, B, C</td> </tr> <tr> <td>5</td> <td>0-100%</td> <td>0.3C / 1D</td> <td>25°C</td> <td>2</td> <td>D, E</td> </tr> <tr> <td>5</td> <td>0-100%</td> <td>0.3C / 1D</td> <td>40°C</td> <td>3</td> <td>F, G, H</td> </tr> </tbody> </table> For cells aged in the 0-30% SoC range, each ageing set consisted of 256 cycles over the 0-30% SoC range (discharge to 2.5 V, charge by passing 1500 mA h (== 0.3*nominal capacity)). C-rates were 0.3C for charge, and 1C for discharge. For cells aged in the 0-100% SoC range, each ageing set consisted of 78 cycles over the full SoC range (discharge to 2.5 V, charge to 4.2 V with CV hold till C/100). C-rates were 0.3C for charge, and 1C for discharge.   Reference Performance Tests (RPTs): All cells were characterised at beginning of life (BoL) and after each ageing set using a reference performance test (RPT). The RPT was always performed at 25°C. Two different RPT procedures were used: a longer procedure which was performed after each even-numbered ageing set, and a shorter procedure which was used after each odd-numbered ageing set. Both procedures are detailed below. A CC-CV charge at 0.3C to 4.2 V, 4.2 V till C/100 was performed between each step of the procedures. Long RPT procedure: <ol> <li>C/10 discharge-charge cycle between the voltage limits (2.5 V and 4.2 V).</li> <li>C/2 discharge-charge cycle between the voltage limits (2.5 V and 4.2 V).</li> <li>GITT discharge at 0.5C; 25 pulses with each pulse passing 200 mA h of charge, with 1 hour rest between pulses; lower cut-off voltage of 2.5 V (but continued test for all pulses).</li> <li>GITT discharge at 0.5C; 5 pulses with each pulse passing 1000 mA h of charge, with 1 hour rest between pulses; lower cut-off voltage of 2.5 V (but continued test for all pulses).</li> </ol> Short RPT procedure: <ol> <li>C/10 discharge-charge cycle between the voltage limits (2.5 V and 4.2 V).</li> <li>Hybrid CC-pulse test with average current of C/2. A baseline DC current of C/2 was applied with an HPPC-type profile superimposed on top. This was done for discharge and charge (with voltage limits of 2.5 V and 4.2 V).</li> <li>Hybrid CC-pulse test with average current of 1C. A baseline DC current of 1C was applied with an HPPC-type profile superimposed on top. This was done for discharge only (with a voltage limit of 2.5 V).</li> </ol>   Extracted Data - Main One csv file exists for each cell being tested, summarising the important data extracted from the ageing cycles and the RPTs. This includes: Ageing Set: numbered 0 (BoL) to x, where x is the number of ageing sets the cell has been subject to. Ageing Cycles: number of ageing cycles the cell has been subject to. *this is not equivalent full cycles. Ageing Set Start Date/ End date: The date that each ageing set began/ ended. Days of Degradation: Number of days between the date of the first ageing set beginning and the current ageing set ending. Age Set Average Temperature: average recorded surface temperature of the cell during cycle ageing. Temperature was recorded approximately 1/2 way up the length of the cell (i.e. between positive and negative caps) using a K-type thermocouple. Units: °C. Charge Throughput: total accumulated charge recorded during all cycles during ageing (i.e. sum of charge and discharge). This is the cummulative total since BoL (not including RPTs). Units: Ah. Energy Throughput: as with "charge throughput", but for energy. Units: Wh. C/10 Capacity: the capacity recorded during the C/10 discharge test of each RPT. Units: mAh. C/2 Capacity: the capacity recorded during the C/2 discharge test of each even-numbered RPT. Units: mAh. 0.1s Resistance: The resistance calculated from the 25-pulse GITT test of each even-numbered RPT. This value is taken from the 12th pulse of the procedure (which corresponds to ~52% SoC at BoL). The resistance is calculated by dividing the voltage drop by the current at a timecale of 0.1 seconds after the current pulse is applied (the fastest timescale possible under the 10 Hz recording condition). Units: Ohms.   Extracted Data - Degradation Modes: Degradation Mode Analysis (DMA) was also performed on the C/10 discharge data at each RPT. This analysis uses an optimisation function to determine the capacities and offset of the positive and negative electrodes by calculating a full cell voltage vs capacity curve using 1/2 cell data and comparing against the experimentally measured voltage vs capacity data from the C/10 discharge. The results of this analysis are saved in the DMA folder, with 4 csv files for each cell, which contain data for all RPTs. The 4 files contain: Fitting parameters: output from the DMA optimisation function; 5 parameters which detail the upper/lower lithitation fractions of each electrode and the capacity fraction of graphite in the negative electrode. Capacity and offset data: calculated based on the fitting parameters above alongside the measured C/10 discharge capacity. DM data: Quantities of LLI, LAM-PE, LAM-NE, LAM-NE-Gr, and LAM-NE-Si calculated from the change in capacities/offset of each electrode since BoL. RMSE data: the root-mean-square error of the optimisation function calculated from the residual between the measured and calculated voltage vs capacity profiles.   Timeseries data from RPTs: Timeseries datafiles from the Biologic battery cycler which have been exported to csv and sliced for each step of each RPT procedure to help with future use of the data. Files contain [time, voltage, current, charge, temperature] data.   Jupyter Notebook: A jupyter notebook has been included to aid futher use of this data. The notebook shows how to load the data into pandas DataFrame objects and provides a couple of example plots to view the datasets.   Notes: A faulty electrical connection to cell A of Expt 5 (i.e. one of the cells being aged at 0-100% SoC at 10°C) during RPT4 led to erroneous results for that performance check (as evidenced in the 0.1s resistance value). The faulty electrical connection was fixed prior to subsequent cycling but the RPT was not repeated. We have kept the data collected during this RPT as part of the dataset, so caution should be used when using this specific portion.

opencc-zeroOct 2022View details →

Resources from: Gut microbiome composition better reflects host phylogeny than diet diversity in breeding wood-warblers

Understanding the factors that shape microbiomes can provide insight on the importance of host-symbiont interactions and on co-evolutionary dynamics. Unlike for mammals, previous studies have found little or no support for an influence of host evolutionary history on avian gut microbiome diversity and instead have suggested a greater influence of the environment or diet due to fast gut turnover. Because effects of different factors may be conflated by captivity and sampling design, examining natural variation using large sample sizes is important. Our goal was to overcome these limitations by sampling wild birds to compare environmental, dietary, and evolutionary influences on gut microbiome structure. We performed fecal metabarcoding to characterize both the gut microbiome and diet of fifteen wood-warbler species across a four-year period and from two geographic localities. We find host taxonomy generally explained ~10% of the variation between individuals, which is ~6-fold more variation of any other factor considered, including diet diversity. Further, gut microbiome similarity was more congruent with the host phylogeny than with host diet similarity and we found little association between diet diversity and microbiome diversity. Together, our results suggest evolutionary history is the strongest predictor of gut microbiome differentiation among wood-warblers. Although the phylogenetic signal of the warbler gut microbiome is not very strong, our data suggest that a stronger influence of diet (as measured by diet diversity) does not account for this pattern. The mechanism underlying this phylogenetic signal is not clear, but we argue host traits may filter colonization and maintenance of microbes.

opencc-zeroNov 2022View details →

Resources and seasonality drive the composition of mixed-species bird flocks along an elevational gradient in the Himalaya

Mixed-species bird flocks are cohesive networks of interacting insectivorous bird species that benefit from reduced predation risk and/or enhanced resource access. We studied how species' propensity to participate in mixed flocks, and the number and strength of interspecific associations within flocks, changed along elevational (low, mid, high) and seasonal (winter, spring) gradients in the western Himalaya. We expected species to have high propensities, and greater number and strength of interspecific associations when resources are scarce, and to decline when resources are abundant. We first used species occurrence within and outside mixed flocks to calculate species-specific flocking propensity and then performed network analyses to quantify the proportion of realized interspecific associations (network density) and their strength (weighted degree), using an abundance-based null model to control flocking species' availability. Further, we quantified arthropod prey availability in winter by using a branch bagging technique. Insect availability and arthropod diversity decreased with increasing elevation in winter and species' flocking propensities, network densities and weighted degrees increased with elevation, possibly to benefit from facilitative interactions that increase foraging success. In spring, as more resources become available and/or bird start investing more time in breeding, flocking propensities, network densities and species' weighted degrees declined at all elevations when compared with winter. During resource-scarce periods, species might find solitary foraging prohibitive because of reduced resource access and costs of vigilance therefore leading to the formation of networks of facilitative associations.

opencc-by-4.0Dec 2021View details →

Shatsky Rise, ODP Sites 1209 and 1210 Maastrichtian composite bulk carbonate stable isotopes, XRF scanning, biogenic barium, and benthic foraminiferal records

A bulk composite carbonate stable isotope, X-ray fluorescence (XRF) scanning (elemental barium), biogenic barium and benthic foraminiferal record in deep sea sediments from the tropical Pacific was produced from 71.5 to 66 million years ago to determine variations in carbon export in the Pacific during the Maastrichtian. The cores were drilled on Shatsky Rise in the tropical Pacific at Ocean Drilling Program (ODP) Leg 198 Sites 1209 and 1210. Method details and interpretation are in the publication.

opencc-zeroNov 2022View details →

Surface measurement data of polished LTCC: Characterization of pores in polished low temperature co-fired glass-ceramic composites for optimization of their micromachining

Pores are intrinsic defects of ceramic composites and influence their functional properties significantly. Their characterization is therefore a pivotal task in material and process optimization. It is demonstrated that polished section analysis allows for obtaining precise information on pore size, shape, area fraction, and homogeneous distribution. It is proven that laser scanning microscopy provides accurate height maps and is thus an appropriate technique for assessing surface features. Such data is used to compare areas with good and poor polishing results, and various surface parameters are evaluated in terms of their informative value and data processing effort. The material under investigation is a low-temperature co-fired ceramic composite. Through statistical analysis of the data, the inclination angle was identified as an appropriate parameter to describe the polishing result. By using masked data, direct conclusions can be drawn about the leveling of load-bearing surface areas, which are crucial in photolithographic processing steps and bonding technology. A broad discussion of different defects based on the results contributes to a critical analysis of the potentials and obstacles of micromachining of low-temperature cofired ceramic substrates.

opencc-by-4.0Nov 2022View details →

Supplementary materials (processed data) for paper "Electrical signal transfer characteristics of mycelium-bound composites and fungal fruiting bodies."

Processed data for paper "Electrical signal transfer characteristics of mycelium-bound composites and fungal fruiting bodies."

opencc-by-4.0Nov 2022View details →

Supplementary materials (raw data) for paper "Electrical signal transfer characteristics of mycelium-bound composites and fungal fruiting bodies"

Raw data (B&K 891, C60 and VNA instruments) for the paper "Electrical signal transfer characteristics of mycelium-bound composites and fungal fruiting bodies"

opencc-zeroNov 2022View details →

Data for: Spatial and temporal genetic stock composition of river herring bycatch in southern New England Atlantic herring and mackerel fisheries

Anadromous river herring (alewife and blueback herring) persist at historically low abundances and are caught as bycatch in commercial fisheries, potentially preventing recovery despite conservation efforts. We used newly established single-nucleotide polymorphism genetic baselines for alewife and blueback herring to define fine-scale reporting groups for each species. We then determined the occurrence of fish from these reporting groups in bycatch samples from a Northwest Atlantic fishery over four years.Within sampled bycatch events, the highest proportions of alewife were from the Block Island (34%) and Long Island Sound (22%) reporting groups, while for blueback herring the highest proportions were from the Mid-Atlantic (47%) and Northern New England (24%) reporting groups. We then quantified stock-specific mortality in a focal geographic area (~3500 km2 including Block Island Sound) of high bycatch incidence and sampling effort, where the most accurate estimates of mortality could be made. During this period, we estimate that bycatch took about 4.6 million alewife and 1.2 million blueback herring, highlighting the need to reduce bycatch mortality for the most depleted river herring stocks.

opencc-by-4.0Nov 2022View details →

The data sheet of "Phytochemicals, Proximate Composition, Minerals and Volatile Oil Analysis of Zanthoxylum acanthopodium DC. Fruits"

The dataset of ‘Phytochemicals, Proximate Composition, Minerals and Volatile Oil Analysis of Zanthoxylum acanthopodium DC. Fruits’

Fig. 1 in Diet Composition Of The Austral Pygmy Owl In A Peri-Urban Protected Area In South-Central Chile

Fig. 1. Trophic isoclines for Austral Pygmy Owl, Glaucidium nana, in the study area: A. l. — Abrothrix longipilis; A. o. — Abrothrix olivaceus; Art — Arthropods; Bd. — Birds; D. g. — Dromiciops gliroides; R. n. — Rattus norvegicus; R. r. — Rattus rattus.

opencc-zeroDec 2022View details →

Floristic composition in three different forest types in western Amazonia

Aim: The latitudinal gradient is considered a first-order biogeographical pattern for most taxonomic groups. Yet, latitudinal changes in plant ecological communities are not always consistent, and this could be related to the physical and biological characteristics of different forest types. In this study, we compare latitudinal changes in floristic diversity (alpha diversity), composition (beta diversity), and dominance across different tropical forest types: floodplain, terra firme, and submontane forests. Location: Western Amazonia (Ecuador, Peru, and Bolivia). Taxon: Woody plants. Methods: We inventoried 1,978 species and 31,203 individuals of vascular plants with a diameter at breast height ≥ 2.5 cm in 118 0.1-ha plots over a 1,800-km latitudinal gradient in three different forest types. The relationships between alpha diversity, latitude, and forest type were analysed using generalised linear mixed models (GLMMs). Semi-parametric permutational multivariate analysis of variance was used to investigate the effects of latitude and forest type on beta diversity. Dominant species abundances were correlated with non-metric multidimensional scaling ordination axes to reflect their contributions in shaping changes in beta diversity. Results: Alpha diversity increased towards equatorial latitudes in terra firme and submontane forests but remained relatively constant in floodplains. Beta diversity of all forest types changed with latitude, although less clearly in floodplains. Overall, the abundances of dominant species decreased towards the Equator, though in floodplains they were more homogeneous along the gradient. Main conclusions: Alpha diversity, beta diversity and dominance patterns differed across forest types. In floodplain forests, the flooding regime is a strong predictor of floristic composition, which maintains alpha diversity constant along the latitudinal gradient. However, alpha and beta diversity in unflooded forests increase steadily towards equatorial latitudes. Furthermore, we found fewer dominant species contributing to changes beta diversity in floodplain forests. Shifts in abundance of dominant species over gradients can explain how beta diversity is driven differently per forest type.

Data used in "The Utility of RGB Color for Discrimination of Lunar Maturity and Composition"

Datasets from the paper "The Utility of RGB Color for Discrimination of Lunar Maturity and Composition", By D. T. Blewett, T. X. Choi, Y.-C. Zheng, and E. A. Cloutis, to be published in the journal Earth and Space Science. Reflectance spectra for Apollo lunar samples 14003, 15601, 70011, 14310, and 65015 were published by Wagner et al. (1987), Icarus 69, 14–28. The spectra were digitized by Amanda Hendrix and Faith Vilas (see Hendrix and Vilas (2006), Astron. J. 132, 1396–1404). I took the spectra that Hendrix and Vilas supplied to me and resampled them to RELAB wavelengths. The spectra are in a tab-delimited text file. The responsivities of the Chang'E-3 PCAM RGB channels were published by X. Ren et al. (2014), Res. Astron. Astrophys. 14, 1557–1566. We digitized the RGB curves from Fig. 2 of the Ren paper. The curves are in tab-delimited text files.

Long-term snow chemical composition monitoring - Hansbreen glacier (Hornsund) - raw data

During the accumulation season, snow samples were taken on Hansbreen Glacier. Several times per season. Snow samples were collected in polyethylene sterile bags and transported to the Polish Polar Station Hornsund. After melting at room temperature, the pH, conductivity and chemical composition (major ions) were analysed in the chemical laboratory of the Polish Polar Station. Snow chemical composition: major ions, HCO3-, pH, conductivity Presented data from 2015 to 2019 The data has not been checked, which means that it is raw data. Principal Investigator (PI) Adam Nawrot

opencc-zeroMay 2015View details →

IODP Expedition 350 Interstitial water composite report

This composite report includes data from numerous interstitial water (IW) analyses (e.g., ICP-LIQUIDS and IONCHROM) in a variable set of columns. Each row combines the data from several tests (groups of measurements made on the same sample at the same time) for a particular IW sample. If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate analysis (ALKALINITY, ICP-LIQUIDS, IONCHROM, SALINITY, SPEC, TITRATOR, and potentially others). Major and minor elements were determined by inductively coupled plasma-atomic emission spectrocsopy (ICP-LIQUIDS). Cations and anions were measured by ion chromatography (IONCHROM). Complex ions were measured by colorimetric measurements using a UV-VIS spectrometer (SPEC). Alkalinity and chloride was measured by titration (ALKALINITY and TITRATOR). Dissolved carbon (DC), dissolved inorganic carbon (DIC), and dissolved organic carbon (DOC) were measured by combustion in a total organic carbon (TOC) analyzer. Salinity was measured by refractometer (SALINITY). pH was measured by ion-selective electrode as part of the alkalinity procedure and is reported in the ALKALINITY analysis.

opencc-zeroMay 2015View details →

IODP Expedition 350 Carbonates composite report

This composite report includes data from two analyses (total carbon from Elemental analysis [CHNS], and inorganic carbon from [Coulometer]). Each row combines the CHNS and Coulometer data from measurements made on the same sample at the same time for a particular section and section offset (depth). If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate data type (Elemental analysis and Coulometer). If the same sample was measured multiple times by any of the methods, results in the report will be combined on one line where possible. Each additional replicate result will be shown in subsequent rows and will be combined where possible. Report includes results for carbon forms: total, inorganic, calcium carbonate, and organic by difference, along with total hydrogen, nitrogen, and sulfur.

opencc-zeroJul 2019View details →

IODP Expedition 376 Interstitial water composite report

opencc-zeroJul 2019View details →

IODP Expedition 376 Carbonates composite report

opencc-by-4.0Jan 2023View details →

Data to the manuscript 'Imperfect cross-linking of Xanthan for pH-responsive bio-based composite moist wound dressings by stencil printing'

Evaluation data for the manuscript stated above. For follow-up evaluation, files have to be arranged according to file designation in the scripts uploaded. There is no additional description of how to arrange. Please feel free to contact the first author for help and information.

Dataset: Comparative analysis of 1H NMR and 1H–13C HSQC NMR metabolomics to understand the effects of medium composition in yeast growth

NMR datasets used in https://doi.org/10.1021/acs.analchem.8b01196. In the corresponding study, we have performed a comparative chemometric analysis between untargeted 1H NMR and 1H-13C HSQC NMR analyses of metabolomics samples from Saccharomyces cerevisiae (yeast) extracts. Specifically, yeast was grown in two different liquid media and their metabolism was characterized at 8 different time-points of a 3-day period. The two media used, YPD (Yeast Peptone Dextrose) and YSC (Yeast nitrogen base Synthetic Complete), are broadly used in yeast lab routines, and results from this analysis should be of interest for improving lab methodologies involving yeast.