Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,542
datasets available to search
ShareScore release 0.7.1
Dataset results
1,542 results for “Degradation”
Reaction Mechanism of the PET Degrading Enzyme PETase Studied with DFT/MM Molecular Dynamics Simulations
<p>Raw simulations of the acylation step by PETase on a PET dimer model substrate, ran with CP2K 6.1 software at the PBE:AMBER level. Details can be found in the original manuscript (<a href="https://doi.org/10.1021/acscatal.1c03700">https://doi.org/10.1021/acscatal.1c03700</a>): Molecular topology in AMBER Parameter Topology format and Trajectories in CHARMM binary coordinate format DCD.</p> <p>RESIDUE LIST:<br> GLY57<br> TYR58<br> SER131<br> MET132<br> TRP156<br> ASP177<br> SER178<br> ILE179<br> ALA180<br> HID208<br> MOL262</p> <p>VMD selection:<br> (name CA C O HA2 HA3 and resname GLY and resid 57) or (name N CA CB H HA HB2 HB3 and resname TYR and resid 58) or (name CA C O OG CB HA HB2 HB3 HG and resname SER and resid 131) or (name N CA SD CE CB CG H HA HB2 HB3 HG2 HG3 HE1 HE2 HE3 and resname MET and resid 132) or (name CB CG CD1 CD2 CE2 CE3 NE1 CZ2 CZ3 CH2 HB2 HB3 HD1 HE1 HE3 HZ2 HZ3 HH2 and resname TRP and resid 156) or (name CG OD1 OD2 CB HB2 HB3 and resname ASP and resid 177) or (name C O and resname SER and resid 178) or (name N CA C O CG2 CD1 CB CG1 H HA HB HG12 HG13 HG21 HG22 HG23 HD11 HD12 HD13 and resname ILE and resid 179) or (name N CA H HA and resname ALA and resid 180) or (name CB CG CD2 ND1 CE1 NE2 HB2 HB3 HD1 HD2 HE1 and resname HID and resid 208) or (name C1 C10 C11 C12 C13 C14 C15 C16 C17 C18 C19 C2 C20 C3 C4 C5 C6 C7 C8 C9 H1 H10 H11 H12 H13 H14 H15 H16 H17 H2 H3 H4 H5 H6 H7 H8 H9 O1 O2 O3 O4 O5 O6 O7 O8 O9 and resname MOL and resid 262)</p> <p>PYMOL selection:<br> (name CA+C+O+HA2+HA3 & resn GLY & resi 57) | (name N+CA+CB+H+HA+HB2+HB3 & resn TYR & resi 58) | (name CA+C+O+OG+CB+HA+HB2+HB3+HG & resn SER & resi 131) | (name N+CA+SD+CE+CB+CG+H+HA+HB2+HB3+HG2+HG3+HE1+HE2+HE3 & resn MET & resi 132) | (name CB+CG+CD1+CD2+CE2+CE3+NE1+CZ2+CZ3+CH2+HB2+HB3+HD1+HE1+HE3+HZ2+HZ3+HH2 & resn TRP & resi 156) | (name CG+OD1+OD2+CB+HB2+HB3 & resn ASP & resi 177) | (name C+O & resn SER & resi 178) | (name N+CA+C+O+CG2+CD1+CB+CG1+H+HA+HB+HG12+HG13+HG21+HG22+HG23+HD11+HD12+HD13 & resn ILE & resi 179) | (name N+CA+H+HA & resn ALA & resi 180) | (name CB+CG+CD2+ND1+CE1+NE2+HB2+HB3+HD1+HD2+HE1 & resn HID & resi 208) | (name C1+C10+C11+C12+C13+C14+C15+C16+C17+C18+C19+C2+C20+C3+C4+C5+C6+C7+C8+C9+H1+H10+H11+H12+H13+H14+H15+H16+H17+H2+H3+H4+H5+H6+H7+H8+H9+O1+O2+O3+O4+O5+O6+O7+O8+O9 & resn MOL & resi 262)</p>
Rapid and specific degradation of endogenous proteins in mouse models using auxin-inducible degrons
<p>Auxin-inducible degrons are a chemical genetic tool for targeted protein degradation and are widely used to study protein function in cultured mammalian cells. Here we develop CRISPR-engineered mouse lines that enable rapid and highly specific degradation of tagged endogenous proteins <em>in vivo</em>. Most but not all cell types are competent for degradation. By combining ligand titrations with genetic crosses to generate animals with different allelic combinations, we show that degradation kinetics depend upon the dose of the tagged protein, ligand, and the E3 ligase substrate receptor TIR1. Rapid degradation of condensin I and condensin II – two essential regulators of mitotic chromosome structure - revealed that both complexes are individually required for cell division in precursor lymphocytes, but not in their differentiated peripheral lymphocyte derivatives. This generalisable approach provides unprecedented temporal control over the dose of endogenous proteins in mouse models, with implications for studying essential biological pathways and modeling drug activity in mammalian tissues.</p>
Contaminations on Lidar Sensor Covers: Performance Degradation including Fault Detection and Modeling as Potential Applications
<p><strong>Data description of contamination measurements with lidar sensors RIEGL LD05-A20 and Ouster OS1-64</strong></p> <p><em><strong>Photos of the measurement setup</strong></em></p> <p>We provide photos of the measurement setup and the contaminations applied in the folder "/photos".</p> <p> </p> <p><em><strong>Riegl LD05-A20 data</strong></em></p> <p>The data of the Riegl LD05-A20 can be found in the folder "riegl_LD05-A20_full_waveforms" - one file per experiment. An example notebook for reading the data is provided in "/notebooks/example_riegl_LD05-A20.ipynb". Note that the files contain only the prominent peaks of the full waveform calculated by the V08Wave software provided by RIEGL. If you are interested in the entire full waveforms, please contact the authors.</p> <p> </p> <p><em><strong>Ouster OS1-64</strong></em></p> <p>The data of the Ouster OS1-64 can be found in the folder "ouster_OS1-64_point_clouds" - one folder per experiment. An example notebook for reading the data is provided in "/notebooks/example_ouster_OS1-64.ipynb". The python package <strong><em>pointcloudset</em></strong> (https://github.com/virtual-vehicle/pointcloudset) and its documentation is suggested for further data analytics of the point cloud data.</p> <p> </p>
Some original, intermediate, and result data in the papar entited "Highway marking extraction and degradation analysis by using MLS point clouds"
<p>Some original, intermediate, and result data in the papar entited "Highway marking extraction and degradation analysis by using MLS point clouds"</p>
The gut microbiome variability of a butterflyfish increases on severely degraded Caribbean reefs
<p>Environmental degradation has the potential to alter key mutualisms that underlie the structure and function of ecological communities. How microbial communities associated with fishes vary across populations and in relation to habitat characteristics remains largely unknown despite their fundamental roles in host nutrition and immunity. We find significant differences in the gut microbiome composition of a facultative coral-feeding butterflyfish (Chaetodon capistratus) across Caribbean reefs that differ markedly in live coral cover (∼0–30%). Fish gut microbiomes were significantly more variable at degraded reefs, a pattern driven by changes in the relative abundance of the most common taxa potentially associated with stress. We also demonstrate that fish gut microbiomes on severely degraded reefs have a lower abundance of Endozoicomonas and a higher diversity of anaerobic fermentative bacteria, which may suggest a less coral dominated diet. The observed shifts in fish gut bacterial communities across the habitat gradient extend to a small set of potentially beneficial host associated bacteria (i.e., the core microbiome) suggesting essential fish-microbiome interactions may be vulnerable to severe coral degradation.</p>
ANOVA analysis of lignin degradation by the different ligninolytic yeasts
<p>The ANOVA analysis shows us that, according to the type of treatment, that is, yeast, the amount of degraded lignin will be.</p>
Monitoring of degradation of 5 organic micropollutant under a multitude of scenarios
<p>The spreadsheet contains HPLC integration peaks monitoring the photolytic and photocatalytic degradation of 5 organic micropollutants (ciprofloxacin, sulfamethoxazole, trimethoprim, venlafaxine and o-desmethyl-venlafaxine) under different conditions. The first sheets show the degradation by UV-A and UV-C photolysis and photocatalysis of each compound in individual solution in milliQ water (initial concentration of each, 2 mg/L). Later, all compounds are present in an initial mixture (concentration of each 2 mg/L, resulting in final mixture solution of 10 mg/L). The impact on degradation of adding 0.1 mM of peroxide in the solution for all 4 processes is studied. Additionally, the impact of: 1) of using simultaneous LED wavelengths (UV-A and UV-C combined); 2) using tap water as matrix; and 3) varying the initial pH for the 1st order kinetic rates of each compound in the mixture is investigated. Plots of the kinetic rate and calculations of EEO values (electrical energy per order consumption) are made. The last spreadsheets contain kinetic monitoring of several experiments performed by altering the composition of the matrix with the addition of nitrates, humic acids and bicarbonates. The data was used to obtain a surface-response box-behnken design of experiments.</p>
Monitoring of ciprofloxacin degradation by UV-A LED photolysis and photocatalysis under different scenarios
<p>The spreadsheet contains the HPLC integration peaks monitoring the photolytic and photocatalytic degradation of the antibiotic ciprofloxacin (CIP) in milliQ water. The initial concentration of CIP is 10 mg/L. In the spreadsheets is shown the obtainment of 1st order kinetic constant rates for different photoreactor designs using 2, 3, 4 or 6 UVA-LED strips around the reactor, distanced 10 or 15 mm from the reactor's walls. The influence of different controlled periodic illumination's duty cycle (0.50 and 0.75) is also shown. Calculations of EEO (electrical energy per order consumption) are also made for each reactor set up.</p> <p>The irradiance values for each photoreactor design calculated by an optical software is presented as planar projections of the cylindrical reactor. Images showing the radiant flux in the photoreactor's middle cross section obtained by the software are also shown</p> <p>Finally, a full factorial design of experiments is made to obtain a model of prediction of kinetic constant rates and EEO values. Predicted vs experimental values are plotted.</p>
Degradation of pharmaceuticals using the hybrid ozonation-filtration system
<p>The hybrid ozonation-membrane filtration unit allows the simultaneous treatment of the contaminated water with ozone and micro- and nano-filtration (MF/NF) under controlled conditions using commercial single tubular ceramic membranes with an inside-out operation. In total, four commercial ceramic (CM) membranes with different compositions and pore sizes were selected. The composition of the selected membranes is given below</p> <ul> <li>TiO<sub>2</sub>/ZrO<sub>2</sub> composition of three different pore sizes: 50-, 150-, and 300 kDa MWCO) and</li> <li>TiO<sub>2</sub>/ TiO<sub>2</sub>+ZrO<sub>2</sub> composition of one pore size (0.200 μm MWCO).</li> </ul> <p>The files contain information on the degradation of the pharmaceuticals using the different membranes under the three surface modifications; CeO2, CeTiOx and CeO2+CeTiOx.</p> <p>Permeability tests have been performed on all four membranes. The filtration unit can operate from 0.3 -1.5 bar pressure with a permeability flow ranging from 200 - 1900 L.m<sup>-2</sup>.h<sup>-1</sup> at 1 bar, starting from the lowest molecular weight cut-off (MWCO) membrane (50 kDa) and moving to the higher (0,200 μm) one.</p>
Degradation of pharmaceuticals in batch experiments with ozone and nanoparticles
<p>The catalytic activity of five different nanoparticles (NPs), α-Al<sub>2</sub>O<sub>3</sub>, γ-Al<sub>2</sub>O<sub>3</sub>, Mn<sub>2</sub>O<sub>3</sub>, CeO<sub>2</sub>, and TiO<sub>2</sub> with different particle sizes during ozonation was examined, and the transferred ozone dose (TOD) required for the degradation of the emerging compounds was defined.</p> <p>Data show the degradation of the micropollutants in batch experiments. We studied the degradation of pharmaceuticals in milliQ in the presence or not of NP (C=0.5 g/L). The initial concentration of the pollutants was 10 μM and the added ozone doses ranged from 0, 10, 20, 50, 75, 100, 150, and 200 μM. Bottles of 240 mL working volume were left to react at ambient temperature for four hours after ozone addition, and samples were collected, filtrated through a 0.2 μM nylon filter, and finally, analyzed in the HPLC. Residual ozone, if any, was determined by the indigo method.</p>
Data for: Activation of bisulfite by LaFeO3 loaded on red mud for degradation of organic dye
<p>In this study, red mud was used as a support for LaFeO3 to prepare a synergistic catalyst (LaFeO3-RM) via ultrasonic-assisted sol-gel method for the enhanced removal of methylene blue (MB) assisted with bisulfite (BS) in an aqueous solution. The Characterization of SEM and BET indicated that comparing with the non-porous structure of bulk LaFeO3, LaFeO3-RM exhibited high surface area and obvious porous structure with a higher pore volume (i.e. 10 times). XRD, XPS and FTIR revealed that in addition to dispersing LaFeO3 particles, the support of porous RM also increased Fe oxidation activity, oxygen-containing functional groups and chemically adsorbed oxygen (from 44.3% to 90.3%) of LaFeO3-RM which enhanced the catalytic performance in structure and chemical composition. MB was removed through the synergistic effect of adsorption and catalysis with MB molecule was first absorbed on the surface and then degraded. The pseudo-first-order kinetic constant of LaFeO3-RM was 6 times than that of LaFeO3. Fe(III) in LaFeO3-RM played a key role in the activation of BS to produce SO4·- by the redox cycle of Fe(III)/Fe(II). With the application of LaFeO3-RM as a promising low-cost synergistic catalyst for the activation of BS under neutral condition, this work provides a new approach of using porous industrial waste to improve the catalytic performance of LaFeO3.</p>
Biodegradable mulching film degradation in soil in Italy
<p><span>The biodegradable mulching samples underwent a visible degradation process in the soil at the experimental field of the University of Bari (Italy). The surface area of each sample clearly presented gaps that increased in size over time. After 42 days of burial the surface loss was 1.30%, reaching 56.70% on the last sampling. </span></p>
Biodegradable mulching film degradation in soil in Italy
<p><span>The biodegradable mulching samples underwent a visible degradation process in the soil at the experimental field of the University of Bari (Italy). The surface area of each sample clearly presented gaps that increased in size over time. After 42 days of burial the surface loss was 1.30%, reaching 56.70% on the last sampling.</span></p> <p><span> </span></p>
Simulation results with the EULAG research model for the publication: "Large eddy simulations of the interaction between the Atmospheric Boundary Layer and degrading Arctic permafrost"
<p>Supplementary material for the publication</p> <ul> <li>Mark Schlutow, Tobias Stacke, Tom Doerffel, et al. Large eddy simulations of the interaction between the Atmospheric Boundary Layer and degrading Arctic permafrost. ESS Open Archive . January 24, 2024. <a href="https://doi.org/10.22541/essoar.170612558.81370785/v1">https://doi.org/10.22541/essoar.170612558.81370785/v1</a></li> </ul> <p>The material contains all simulation results and raw outputs that are necessary to reproduce the figures and statistics of the publication. </p>
Data from: Trends in habitat quality and habitat degradation within terrestrial protected areas
<p>Please see the paper<strong> "Trends in habitat quality and habitat degradation within terrestrial protected areas"</strong> for the definition of habitat quality, habitat degradation and different threats.</p> <p>This dataset describes global habitat quality and degradation for 2020, with a resolution of 250 m. Values of habitat quality and total habitat degradation can be used directly. <strong>Of note, values of habitat degradation caused by each threat should be multiplied by the relative threat weights before use.</strong> The details are as follows:</p> <ol> <li>"quality_c_2020.tif" represents habitat quality.</li> <li>"deg_sum_c_2020.tif" represents total habitat degradation which is caused by all 5 threats.</li> <li>"deg_sum_c_NonIrriCrp_2020.tif" represents habitat degradation caused by non-irrigated cropland, and should be multiplied by 0.2145 before use.</li> <li>"deg_sum_c_IrriCrp_2020.tif" represents habitat degradation caused by irrigated cropland, and should be multiplied by 0.2292 before use.</li> <li>"deg_sum_c_CrpVeg_2020.tif" represents habitat degradation caused by mosaic cropland-vegetation, and should be multiplied by 0.1623 before use.</li> <li>"deg_sum_c_VegCrp_2020.tif" represents habitat degradation caused by mosaic vegetation-cropland, and should be multiplied by 0.0541 before use.</li> <li>"deg_sum_c_Urban_2020.tif" represents habitat degradation caused by urban areas, and should be multiplied by 0.3400 before use.</li> </ol> <p>Besides, "InputData_forR.zip" provides data on protected-area-level habitat quality and habitat degradation, which is for statistical analyses by R in the paper "Trends in habitat quality and habitat degradation within terrestrial protected areas".</p>
Tibetan pastoralists' attitudes toward grassland degradation and restoration
<p>Ecosystem restoration practices are gaining prominence in coping with the crisis of ecosystem degradation. To improve the long-term effectiveness of restoration activities, community engagement in restoration projects needs to be strengthened. In communities where traditional and local values drive adaptation to environmental changes, a community-engaged restoration approach requires the integration of restoration techniques and local value systems.</p> <p>In two pastoral communities on the Qinghai-Tibetan Plateau, we used the Q method to explore pastoralists' attitudes towards grassland degradation and restoration and to understand different levels of community engagement in grassland restoration activities. Through this study, we aim to promote an understanding of the value-based approach of local communities to enable better community engagement for the long-term effectiveness of ecosystem restoration projects, and contribute to the achievement and synergy of global Sustainable Development Goals (SDGs).</p> <p>The study revealed eight types of pastoralists with different attitudes in two communities, with the type of <em>Active Agents</em> leveraging transformative restoration action through creating value-inclusive narratives of grassland restoration in the community with a higher level of engagement in restoration practices. Alongside this, we explored the pastoralists' perspectives of biodiversity in restoration and the importance of local elites in facilitating multiple-actor cooperation in restoration projects.</p> <p>We recommend that decision-makers recognize the significance of local worldviews and values in facilitating environmental adaptations, as well as the irreplaceable role played by local people in developing value-inclusive narratives that align with the local cultural context. Open dialogues and sufficient communication between multiple stakeholders are needed to build mutual trust and accumulate social capital for driving transformative actions in traditional communities. Such approaches are essential to foster community engagement and gain better momentum in ecosystem management initiatives.</p>
Data: Approaching a population level assessment of body size in pinnipeds using drones, an early warning of environmental degradation.
<p>Data and R sctipts for measuring harbour seal body sizes and estimating mass based on .shp files containing outlines. Associated with the manusctipt currently titled "Approaching a population level assessment of body size in pinnipeds using drones, an early warning of environmental degradation."</p> <p>1_Seal_Volume_Function.R: A function for the estimation of length, width, and ellipsoid volume of harbour seals from georeferenced polygons representing individual outlines 2_Polygon_Process.R: This script uses the curved_length_vol function (1_Seal_Volume_Function.R) to process a folder full of .shp file subfolders containing georeferenced polygons representing individual outlines and outputs a .csv with estimates of length, width, and ellipsoid volume for each individual. 3_Calibration.R: This script processes and calibrates summarized harbor seal measurements based on reference to known individuals</p> <p>CSV_Files: Folder containing data files</p> <p>Known_Seals.csv: True measurments of length and mass for known seals with derived estimates of 'true' width and volume. Drone based estimates of length, width, simple and complex volume for the same individuals, information on pose.</p> <p>measurments.csv: Drone based estimates of length, width, simple and complex volume for all individuals.</p> <p>Pup_growth.csv: Data on pup mass by age from Harding et al. 2005 (<a href="https://doi.org/10.1111/j.0269-8463.2005.00945.x" rel="nofollow">https://doi.org/10.1111/j.0269-8463.2005.00945.x</a>).</p> <p>Slottsskogen_Data.csv: True and drone based measurments for individual captive harbour seals taken on two seperate occasions.</p> <p>Summarised_Weights.csv: True measurments of length, girth, and mass for harbour seals.</p>
Lenze Gearmotor Degradation Dataset (Lenze-GD)
<p>A run-to-failure experiment for geared motors is introduced. A geared motor is installed in healthy condition and operated until it fails. Throughout the experiment, a data acquisition system is active to monitor the signals of all degradation states. In order to complete the experiment in limited time, the geared motors nominal torque is exceeded. The experiment is conducted three times in total and each with multiple operation states during measurement.</p> <p>For a detailed description of the experiment, refer to our paper <a href="https://doi.org/10.36001/phme.2024.v8i1.4075">https://doi.org/10.36001/phme.2024.v8i1.4075</a>, please.</p> <p>If you use Lenze-GD within a scientific work, please cite our paper in addition to the dataset itself.</p> <p>For details on the dataset structure, please refer to the Quick_Start_Notebook, found in the files.</p>
Monthly production and open-circuit string voltage measurements after 10-year operation of three photovoltaic plants in Southern Spain affected by severe potential-induced degradation
<p>Data are formated in a spreadsheet file. Data are presented from three photovoltaic plants in Southern Spain (Córdoba province - Northern Andalucía) designed and installed by the same person, with the same photovoltaic module and the same model of inverter, deployed at the same time (end 2009). The plants are severely affected by potential-induced degradation (PID), so that secondary effects produce some by-pass diodes to activate, producing three families of open-circuit voltage (Voc) in the modules (~40V), (~26V) and (~12V) of a total of nominal Voc of 42,6V. </p> <p>Monthly production is shown along 11 years (2010-2021), and the measurements of the open-circuit voltage of the strings after 10 years of operation along with the voltage range of the modules of each string.</p> <p>Sheet 1: configuration of the architecture of the three photovoltaic plants and the features of the photovoltaic module installed.</p> <p>Sheet 2: energy production for 11 years of opetation. In the last years some recovery is shown in plant 1 and 2 because a repowering project.</p> <p>Sheet 3: partial climate data of the towns were the plants are located.</p> <p>Sheet 4: open-circuit voltages of the strings and number of modules in each string with open-circuit voltage in the ranges (~40V) and (<=26V) in plant 1, july-2018.</p> <p>Sheet 5: open-circuit voltages of the strings and number of modules in each string with open-circuit voltage in the ranges (~40V), (~26V) and (~12V) in plant 2, july-2020.</p>
Electromagnetic Wave Dataset for Strength Degradation Detection in Reinforced Concrete Structures Using RFID Measurements and CNN Model
<p>This dataset comprises 1,800 electromagnetic wave (EM-wave) images collected from three different reinforced concrete beams subjected to varying levels of corrosion. Each image is classified into 'normal' or 'reduced strength' categories based on the beam's structural integrity. Generated through a non-destructive RFID-based monitoring technique, this dataset integrates advanced analyses like 2-D Fourier transforms and fractal dimensions. It is specifically designed to train and validate Convolutional Neural Networks (CNNs) for detecting strength degradation in reinforced concrete structures.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.