cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/4e6662fac2a9e326afecb4a3b082c7c9
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-10. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-10 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/330477dbcb309536b6a8c7b68fe21d1d
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily Average of 30-minute Soil Volumetric Water Content data at 10 cm at CSIS Block-10. Collection of soil water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured every 30 minutes at 10 cm depth at 3 locations at each of the 4 plots per block and averaged for the daily value. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded at an automated meteorological station installed at Jornada LTER CSIS Block-10 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/7c74308cfd8e5aa3462655892c28de68
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: Daily summary data: 2013 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-10 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/c2eaa5fd6a64ded342872e0c87443ea8
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: 30-minute summary data: 2017 - ongoing

description: This data package contains 30-minute air temperature, relative humidity, and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively. This is an ONGOING dataset.
DOI: 10.25345/c5d29b
title: MassIVE MSV000088374 - Characterization of Two Unknown Proteins in the Human Testis
title: This project aims at deciphering the human testis proteome and to discover and characterizedunknown proteins in order to better understand the male reproductive physiology.
DOI: 10.4121/16965139.v1
title: Data in brief underlying the paper: Determining optical and radiation characteristics of cathode ray tubes' glass to be reused as radiation shielding glass

description: These data contains raw data DTA analysis, SEM-EDX analysis, Optical spectra and Tables of samples of research related to reusing the glass of cathode ray tubes as radiation shielding glass for radiation shielding purposes.
DOI: 10.4121/16943239.v1
title: Sensorized Soft Actuator Datasets

description: Calibration and evaluation dataset that was used by Scharff, 2019. With permission of the authors, this data has been made available with this article. The calibration dataset consists of the RGBC (red, green, blue, clear) measurements of the four color sensors and the corresponding 2D marker coordinates for 1000 different actuator configurations. The evaluation dataset consists of a video where the actuator interacts with a variety of objects in combination with the corresponding RGBC-measurements.
DOI: 10.4121/16943239
title: Sensorized Soft Actuator Datasets

description: Calibration and evaluation dataset that was used by Scharff, 2019. With permission of the authors, this data has been made available with this article. The calibration dataset consists of the RGBC (red, green, blue, clear) measurements of the four color sensors and the corresponding 2D marker coordinates for 1000 different actuator configurations. The evaluation dataset consists of a video where the actuator interacts with a variety of objects in combination with the corresponding RGBC-measurements.
DOI: 10.4121/14061233
title: Benchmark experimental and numerical database on transitional cavity flow

description: We present an experimental benchmark database for the transitional cavity flow. The database is obtained by planar Particle Image Velocimetry measurements at the median plane of the cavity model, for Reynolds numbers between 6,300 and 19,000 based on the cavity height. A detailed uncertainty analysis of the experimental results is performed via the correlation statistics method for PIV uncertainty quantification and linear error propagation.<br>The data contain the following variables:- x/H and y/H: locations (relative to the cavity H) in the streamwise and transverse directions, respectively-u, v: streamwise and transverse velocity components, respectively. These quantities are normalized with respect to the free-stream velocity.- TKE: turbulent kinetic energy. The TKE is normalized with respect to the square of the free-stream velocity.- Rxy: shear Reynolds stress. Rxy is normalized with respect to the square of the free-stream velocity.- Uncertainties of the above quantities (also normalized)- isValid: parameter that assumes the value 1 for valid vectors and 0 for invalid vectors.
DOI: 10.4121/16866376
title: Time-varying system identification methods for describing human joint impedance

description: This dataset contains data and scripts used in:"Quantitative comparison of time-varying systemidentification methods to describe human joint impedance",Annual Reviews in Control, 2021<br>The data includes simulation and experimental data to identify impedance of the human ankle joints. Five time-varying system identification methods have been used (the ensemble impulse response function, short data segment, basis impulse response function, ensemble spectral and kernel based regression method). For some methods the source files can be found elsewhere.
DOI: 10.4121/14672064
title: Data corresponding to the publication "Experimental and numerical data on the role of interface for crack-width control of hybrid SHCC concrete beams"

description: This data set presents the data corresponding to a publication in Engineering Structures (DOI:10.1016/j.engstruct.2021.113378). It has the experimental and numerical data of tested SHCC-Concrete hybrid beams with varying interface treatments. The experimental data include the raw data for load-deformation response and the analysed data for crack width calculation using DIC - these crack widths have also been validated using visual observation and image processing using ImageJ. The tested beams are simulated using lattice modelling approach. The input and output of the numerical analysis is also included in the data set.
DOI: 10.4121/14579199.v1
title: Data underlying the paper 'Melamine degradation to bioregenerate granular activated carbon'

description: The description of the dataset is given in the REAME.txt file. Details about data collection are given in the published article (10.1016/j.jhazmat.2021.125503)
DOI: 10.4121/12705581.v2
title: Supplemental data for the paper: Biodegradation and adsorption of micropollutants by biological activated carbon from a drinking water production plant

description: The presence of micropollutants in surface water is a potential threat for the production of high quality and safe drinking water. Adsorption of micropollutants onto granular activated carbon (GAC) in fixed-bed filters is often applied as a polishing step in the production of drinking water. Activated carbon can act as a carrier material for biofilm, hence biodegradation can be an additional removal mechanism for micropollutants in GAC filters. To assess the potential of biofilm to biodegrade micropollutants, it is necessary to distinguish adsorption from biodegradation as a removal mechanism. We performed experiments at 5 °C and 20 °C with biologically active and autoclaved GAC to assess the biodegradation of micropollutants by the biofilm grown on the GAC surface. Ten micropollutants were selected as model compounds. Three of them, iopromide, iopamidol and metformin, were biodegraded by the GAC biofilm. Additionally, we observed that temperature can increase or decrease adsorption, depending on the micropollutant studied. Finally, we compared the adsorption capacity of GAC used for more than 100,000 bed volumes and fresh GAC. We demonstrated that used GAC shows a higher adsorption capacity for guanylurea, metformin and hexamethylenetetramine and only a limited reduction in adsorption capacity for diclofenac and benzotriazole compared to fresh GAC.
DOI: 10.4121/uuid:b7a86a1b-7268-40dd-abda-7c0f18d11486
title: Supplemental data for the paper: Diffusion of hydrophilic organic micropollutants in granular activated carbon with different pore sizes

description: Hydrophilic organic micropollutants are commonly detected in source water used for drinking water production. Effective technologies to remove these micropollutants from water include adsorption onto granular activated carbon in fixed-bed filters. The rate-determining step in adsorption using activated carbon is usually the adsorbate diffusion inside the porous adsorbent. The presence of mesopores can facilitate diffusion, resulting in higher adsorption rates.We used two different types of granular activated carbon, with and without mesopores, to study the adsorption rate of hydrophilic micropollutants. Furthermore, equilibrium studies were performed to determine the affinity of the selected micropollutants for the activated carbons. A pore diffusion model was applied to the kinetic data to obtain pore diffusion coefficients. We observed that the adsorption rate is influenced by the molecular size of the micropollutant as well as the granular activated carbon pore size.
DOI: 10.4121/12713642
title: Supplemental data for the paper: Diffusion of hydrophilic organic micropollutants in granular activated carbon with different pore sizes

description: Hydrophilic organic micropollutants are commonly detected in source water used for drinking water production. Effective technologies to remove these micropollutants from water include adsorption onto granular activated carbon in fixed-bed filters. The rate-determining step in adsorption using activated carbon is usually the adsorbate diffusion inside the porous adsorbent. The presence of mesopores can facilitate diffusion, resulting in higher adsorption rates.We used two different types of granular activated carbon, with and without mesopores, to study the adsorption rate of hydrophilic micropollutants. Furthermore, equilibrium studies were performed to determine the affinity of the selected micropollutants for the activated carbons. A pore diffusion model was applied to the kinetic data to obtain pore diffusion coefficients. We observed that the adsorption rate is influenced by the molecular size of the micropollutant as well as the granular activated carbon pore size.
DOI: 10.4121/16903069
title: Data underlying the paper 'Prolonged lifetime of biological activated carbon filters through enhanced biodegradation of melamine'

description: This data set contains metadata underlying the publication 'Prolonged lifetime of biological activated carbon filters through enhanced biodegradation of melamine'. The data set contains:1) concentrations of melamine and ammeline (transformation product), dissolved oxygen, methanol and ammonium in the experiments presented in the publication, as well as influent flow;.2) the Matlab code with the Homogeneous Surface Diffusion Model as well as the model parameters used as input and the calculated outputs.
DOI: 10.4121/16539453
title: Actin Transport - Raw data

description: These are the raw data sets used to analyze Actin Transport by growing microtubules. Each dataset contains time-lapse videos for 3 different fluorescent channels (see README file). <br><br>The videos were recorded with a framerate of 3/s, at a TIRF microscope with 0.158 um/pixel.<br>Data used for "Cross-linkers at growing microtubule ends generate forces that drive actin transport".
DOI: 10.4121/16539240.v1
title: Actin Transport - Analyzed datasets

description: These are the analyzed data for Actin Transport by growing microtubule ends. The data was (partially manually) analyzed using ImageJ and the datasets provided in the folder 'Actin Transport - raw data'.<br>
DOI: 10.4121/16539240
title: Actin Transport - Analyzed datasets

description: These are the analyzed data for Actin Transport by growing microtubule ends. The data was (partially manually) analyzed using ImageJ and the datasets provided in the folder 'Actin Transport - raw data'.<br>
DOI: 10.4121/16557801
title: Actin Transport - Optical tweezer force measurements

description: Tabulated list of measured force durations and amplitudes, using optical tweezers. <br>Data for paper "Cross-linkers at growing microtubule ends generate forces that drive actin transport".<br>
DOI: 10.4121/16926052
title: Actin Transport - Simulation data and scripts

description: Simulation data and scripts for actin transport, as described in paper "Cross-linkers at growing microtubule ends generate forces that drive actin transport".Open folder and files by 'zip/extract files'. <br>
DOI: 10.4121/16918732
title: Model and input data related to: Circularity in animal production requires a change in the EAT-Lancet diet in Europe

description: Repository contains input data for and model code to run the resource allocation model. The model is a linear optimisation model with an objective function to maximise human edible protein from livestock (dairy, beef, pigs, laying hens, broiler chickens, salmon and tilapia) while satisfying their nutritional requirements from a given availability of feed. The availability of feed is based on the low opportunity cost biomass (co-products, food waste, and grassland resources) produced from the EAT-LANCET diet and grasslands in the European Union 27 + United Kingdom. Two different availabilities of co-products and food waste are provided, one from the original EAT-LANCET diet and a second from a refined grain version of the EAT-LANCET diet. In addition the model can calculate the associated GHG emissions from livestock and steer livestock production to meet the animal-sourced food requirements of the EAT-LANCET diet.
DOI: 10.4121/16930732
title: Re-Organise - Game data

description: This is an anonymised data set from a game-based learning experiment performed in 2019. In the experiment, the effect of playing a business game called Re-Organise on learning about circular business model innovation was tested. The data set consists of four RDS-datafiles, containing the pre-test (prep) and post-test (iter) results of a game group and a control group of participants. In order to make the data more accessible, these RDS-files are exported to CSV-format using the R-script in the repository.
DOI: 10.4121/16601675.v1
title: Open water evaporation of Lake IJssel, data used in the study 'Evaporation from a large lowland reservoir – observed dynamics during a warm summer'.

description: Time series of open water evaporation of Lake IJssel, the Netherlands, during the years 2019 and 2020 at two locations at the border of the lake: Stavoren and Trintelhaven. Data was collected using the eddy covariance instrument of the type IRGASON at a sampling frequency of 20Hz. Data was processed using EddyPro software for a 30-min averaging interval. The measurement height was 7.5 m and 10.8 m in Stavoren and Trintelhaven, respectively. Variables Tair and RH were collected using a separate HMP155A instrument at a height of 7.4 m and 10.9 m above surface in Stavoren and Trintelhaven, respectively. This data belongs to the study 'Evaporation from a large lowland reservoir – observed dynamics during a warm summer'.
DOI: 10.4121/16904590.v1
title: Data underlying the paper: Gamma radiation induced contraction of alkyne modified polymer hydrogels

description: The paper deals with radiation induced contraction of dextran based polymer hydrogels. The datasets contain data on the characterization of the gels (Rheology, Scanning Electron Microscopy images, photographs, weight measurements, NMR) and release studies (photographs, UV-Vis data).
DOI: 10.4121/16864147.v1
title: LiDAR Datasets for Hypogenic and Epigenic Caves in Bahia, Brazil (2019)

description: 7 LiDAR datasets collected in a fieldwork expedition to hypogenic and epigenic caves in the State of Bahia, Brazil (2019). The data consists of a dense point clouds (resolution of around 3-10 cm), and the size of the caves are 10s to 100s of meters. The data is collected with the mobile LiDAR device (GeoSLAM ZEB REVO RT). The cave are located in a similar area, but here are the more precise geo-location of all the caves (in Latitude, Longitude):Calixto: (-13.320802, -41.091798)Ioio: (-12.39495042, -41.563312)Torrinha: (-12.348743, -41.603489)Lapinha Iramaia: (-13.320802, -41.091798)Lapinha: (-12.4645320, -40.980800)Marota: (-12.620955, -41.013181)Lapa de Bode: (-12.872074, -41.082733)
DOI: 10.4121/16864108.v1
title: LiDAR Datasets for Hypogenic and Epigenic Caves in Bahia, Brazil (2018)

description: 5 LiDAR datasets collected in a fieldwork expedition to hypogenic and epigenic caves in the State of Bahia, Brazil (2018). The data consists of a dense point clouds (resolution of around 3-10 cm), and the size of the caves are 10s to 100s of meters. The data is collected with the mobile LiDAR device (GeoSLAM ZEB REVO). The cave are located in a similar area, but here are the more precise geo-location of all the caves (in Latitude, Longitude):Diva De Maura: (-12.36525017, -41.57411493)Ioio: (-12.39495042, -41.563312)<br>Torrinha: (-12.348743, -41.603489)<br>Lapinha: (-12.4645320, -40.980800)<br>Paixao: (-12.5936400, -41.020847)<br>
DOI: 10.4121/16864108
title: LiDAR Datasets for Hypogenic and Epigenic Caves in Bahia, Brazil (2018)

description: 5 LiDAR datasets collected in a fieldwork expedition to hypogenic and epigenic caves in the State of Bahia, Brazil (2018). The data consists of a dense point clouds (resolution of around 3-10 cm), and the size of the caves are 10s to 100s of meters. The data is collected with the mobile LiDAR device (GeoSLAM ZEB REVO). The cave are located in a similar area, but here are the more precise geo-location of all the caves (in Latitude, Longitude):Diva De Maura: (-12.36525017, -41.57411493)Ioio: (-12.39495042, -41.563312)<br>Torrinha: (-12.348743, -41.603489)<br>Lapinha: (-12.4645320, -40.980800)<br>Paixao: (-12.5936400, -41.020847)<br>
DOI: 10.15156/bio/sh296710.07fu
title: SH296710.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh296711.07fu
title: SH296711.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh296712.07fu
title: SH296712.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.