cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-1430230484
title: Dynamical processes in out-of-equilibrium materials at extreme conditions

description: The principle aim of this project is to perform new ground breaking experiments in glass formers at extreme conditions and in a previously unexplored dynamical range by using X-ray Photon Correlation Spectroscopy (XPCS) at high energy and in combination with in-situ high pressure and high temperature devices. This takes benefits from the current EBS upgrade of ESRF which has revolutionized the XPCS technique thanks to a 100 times higher coherent flux with the extension into hard x-rays up to 25 keV. 
The knowledge of the relaxation processes occurring in glass formers and their evolution under applied constraints like pressure and temperature is important not only from the theoretical point of view, but also for technological applications as it may provide important receipes for improving their stability and properties during processing and operation. The extension of XPCS to studies at extreme conditions will be of interest of many scientist working in different fields.
DOI: 10.15151/esrf-es-1430231633
title: Enabling deep understanding of Power-to-Ammonia catalysts for renewable fuel production with the help of transient operando photon-in/photon

description: This LTP is motivated by systematic studies on ammonia synthesis catalysts under the realistic conditions of the Haber-Bosch process, as employed for the production of sustainable renewable ammonia at offshore wind power plants. Over the course of 6 beamtime scheduling periods, electronic and geometric structure of active metals (Fe, Ru) as well as of electronic (K, Cs, Ca, Ba) and structural (Al, Si) promoters will be thoroughly studied at the ID26 beamline under stationary and transient conditions. In the course of the LTP a pixel detector will be installed in the TEXS which, together with sets of high quality Johansson crystals, which will enable X-ray Fluorescence Intensity Ratio Detection (XFIRD). Furthermore, a high pressure operando catalysis cell will be developed. The planned investments will enable spatially- and time-resolved operando tender X-ray HERFD-XANES and XES spectroscopy on working catalysts for chemical energy storage and related processes.
DOI: 10.15151/esrf-es-1430231833
title: RIXS study of magnetic and charge excitations in Sr-doped NdNiO2

description: Infinite layer nickelates are the most interesting cuprate-akin materials, for being superconductive and for 
sharing several structural and electronic properties with high Tc superconductors. Among those is 2D 
antiferromagnetic background, as confirmed by the detection of magnetic spin waves with doping 
dependent energy and damping. Here, we propose to extend and complete our prior investigation of spin 
excitations in Nd1-xSrxNiO2 films, by performing a polarization-resolved RIXS study, with the aim of
determining the spin dynamical susceptibility. Throughout our analysis, the use of the polarimeter is 
crucial to discern such excitations from the underlying charge continuum. By fitting the RIXS spectra, 
using an extended Hubbard theoretical model already available to us, we will tune the key parameters and 
compare them to those of cuprates.
DOI: 10.4119/unibi/2986470
title: Dataset for “Charm degrees of freedom in hot matter from lattice QCD”
DOI: 10.6084/m9.figshare.24235363
title: Specific test methods for adolescents in Altay, Xinjiang to participate in the National Student Physical Fitness and Research Tests

description: Organized according to the testing requirements in the Research Report on Physical Fitness and Health of Chinese Students
DOI: 10.6084/m9.figshare.24235363.v1
title: Specific test methods for adolescents in Altay, Xinjiang to participate in the National Student Physical Fitness and Research Tests

description: Organized according to the testing requirements in the Research Report on Physical Fitness and Health of Chinese Students
DOI: 10.14459/2024mp1732404
title: RILEM TC 304-ADC ILS-DURASHRINK Study Plan

description: This set of documents described in detail the procedure for the Interlaboratory Study on plastic shrinkage properties of additively manufactured cementitious materials (ILS-DURASHRINK) initiated by the RILEM Technical Committee 304-ADC Assessment of Additively Manufactured Concrete Materials and Structures. The Study Plan consists of 3 documents:
1. General Information on the study (this document): RILEM_TC_ADC_ILS-DURASHRINK_1_General information final_v20230512.pdf 
2. RILEM TC ADC_ILS-DURASHRINK_2_Spec prep and test_Dura_final_v20230512.pdf 
3. RILEM TC ADC_ILS-DURASHRINK_3_Spec prep and test_Shrink_final_v20230512.pdf
DOI: 10.6084/m9.figshare.25101335
title: materials for 2D thermo-gravity modeling

description: The results and codes for the 2D thermo-gravity modeling used in the manusciprt "Thermo-gravity modeling confirms a 15 km thick brittle lithosphere at a nearly-amagmatic ultraslow spreading ridge".
DOI: 10.6084/m9.figshare.25101335.v1
title: materials for 2D thermo-gravity modeling

description: The results and codes for the 2D thermo-gravity modeling used in the manusciprt "Thermo-gravity modeling confirms a 15 km thick brittle lithosphere at a nearly-amagmatic ultraslow spreading ridge".
DOI: 10.34740/kaggle/dsv/7141973
title: Gesture Calculator Image Dataset
DOI: 10.4121/1c93d3fe-9085-4fb0-91eb-9ecef3be1ee9
title: Data and analysis code supporting the PhD thesis 'Coherent dynamics of atomic spins on a surface'

description: This data set contains the raw data files as well as the analysis code used to produce all the experimental plots in the PhD thesis 'Coherent dynamics of atomic spins on a surface' by Lukas M. Veldman under supervision of prof. Sander Otte at the TU Delft. It contains measurements done with a scanning tunneling microscope (STM) on individual titanium atoms adsorbed on MgO thin films on top of Ag(100). Using electron spin resonance (ESR) methods, transitions between different spin states of a single atoms can be driven, revealing their magnetic state space. By using DC pulses in a pump-probe scheme, we inject a single spin excitation into the atomic structures and observe the resulting dynamics. This way, we are able to study the propagation of a spin excitation between the electron spins of individual magnetic atoms as well as between the electron spin and the nuclear spin within a single atom. The dataset is ordered by chapter that contains experimental data.
DOI: 10.4121/1c93d3fe-9085-4fb0-91eb-9ecef3be1ee9.v1
title: Data and analysis code supporting the PhD thesis 'Coherent dynamics of atomic spins on a surface'

description: This data set contains the raw data files as well as the analysis code used to produce all the experimental plots in the PhD thesis 'Coherent dynamics of atomic spins on a surface' by Lukas M. Veldman under supervision of prof. Sander Otte at the TU Delft. It contains measurements done with a scanning tunneling microscope (STM) on individual titanium atoms adsorbed on MgO thin films on top of Ag(100). Using electron spin resonance (ESR) methods, transitions between different spin states of a single atoms can be driven, revealing their magnetic state space. By using DC pulses in a pump-probe scheme, we inject a single spin excitation into the atomic structures and observe the resulting dynamics. This way, we are able to study the propagation of a spin excitation between the electron spins of individual magnetic atoms as well as between the electron spin and the nuclear spin within a single atom. The dataset is ordered by chapter that contains experimental data.
DOI: 10.5281/zenodo.7058552
title: Concatenated Data from the Chang'E-1 and -2 Microwave Radiometers

description: This dataset includes a binary table collecting all data released by NAOC from the Chang'E 1 and 2 Microwave Radiometers, as well as gridded, map-projected versions of those data. Please see readme.md for a detailed description of contents.
DOI: 10.5281/zenodo.7790013
title: Concatenated Data from the Chang'E-1 and -2 Microwave Radiometers

description: This dataset includes a binary table collecting all data released by NAOC from the Chang'E 1 and 2 Microwave Radiometers, as well as gridded, map-projected versions of those data. Please see readme.md for a detailed description of contents.
DOI: 10.5281/zenodo.10579014
title: Concatenated Data from the Chang'E-1 and -2 Microwave Radiometers

description: This dataset includes a binary table collecting all data released by NAOC from the Chang'E 1 and 2 Microwave Radiometers, as well as gridded, map-projected versions of those data. Please see readme.md for a detailed description of contents.
DOI: 10.5281/zenodo.7058551
title: Concatenated Data from the Chang'E-1 and -2 Microwave Radiometers

description: This dataset includes a binary table collecting all data released by NAOC from the Chang'E 1 and 2 Microwave Radiometers, as well as gridded, map-projected versions of those data. Please see readme.md for a detailed description of contents.
DOI: 10.4121/2904d0f4-0f50-45f4-8363-69574ac1b2e5
title: R code for Obliquity sensitivity and phase analysis.

description: The code running on R goes to calculate the obliquity sensitivity of the climate proxies and the phase between the two sets of data.
DOI: 10.4121/2904d0f4-0f50-45f4-8363-69574ac1b2e5.v1
title: R code for Obliquity sensitivity and phase analysis.

description: The code running on R goes to calculate the obliquity sensitivity of the climate proxies and the phase between the two sets of data.
DOI: 10.6084/m9.figshare.25101440
title: Proteomics Data of CAD and HC

description: Atherosclerosis, leading to coronary artery disease (CAD), is strongly influenced by hypercholesterolemia (HC). Proteomics research has shown promise in identifying biological markers for CAD diagnosis and prognosis. This cross-sectional study aimed to discover innovative biomarkers for detecting HC and CAD. Analyzing proteome data from healthy controls (n=45), and from patients diagnosed with HC (n=51) or CAD (n=32), we identified distinct protein patterns associated with each condition. CAD patients showed a significant increase in the cholesterol-metabolizing protein PCSK9 and varying levels of the angiogenesis-related protein SDF-1. Several other proteins (LRP1B, VAV, CSRP3, HSP 60, and TAK1-TAB1) also exhibited unique expressions in disease groups, suggesting potential roles in atherosclerosis development. Moreover, a statistically significant correlation between SDF-1, ApoB levels, and LDL levels was found in CAD patients but not in healthy controls. Nevertheless, this is an exploratory study and validation studies are needed to confirm these potential protein biomarkers for CAD in the context of HC.
DOI: 10.5281/zenodo.10532236
title: Occurrence data on PBDEs provided to EFSA

description: The file contains the raw occurrence dataset on PBDEs in food as extracted from EFSA DWH on 15th of April 2021 and presented in the EFSA opinion on the update of the risk assessment of PBDEs in food available. This dataset is compliant with EFSA SSD2 data model and contains two additional columns documenting issues identified in the cleaning process (column: issue) and the outcome of the action taken (column: outcome) to address the issue (e.g., delete record or update values in specific fields). The link to the catalogues of controlled terminologies for the updated textual description of fields values can be found under "Related works, supplemented by”.
description: EU; CSV; eng; FEEDCO@efsa.europa.eu
DOI: 10.5281/zenodo.10532237
title: Occurrence data on PBDEs provided to EFSA

description: The file contains the raw occurrence dataset on PBDEs in food as extracted from EFSA DWH on 15th of April 2021 and presented in the EFSA opinion on the update of the risk assessment of PBDEs in food available. This dataset is compliant with EFSA SSD2 data model and contains two additional columns documenting issues identified in the cleaning process (column: issue) and the outcome of the action taken (column: outcome) to address the issue (e.g., delete record or update values in specific fields). The link to the catalogues of controlled terminologies for the updated textual description of fields values can be found under "Related works, supplemented by”.
description: EU; CSV; eng; FEEDCO@efsa.europa.eu
DOI: 10.5281/zenodo.10572675
title: Tensile testing data for project "Cleaning of church textiles", RAÄ-2022-0924

description: Tensile testing data from the project "Cleaning of church textiles" (Diarienummer RAÄ-2022-0924) including an instrument report compiling all data. All data was collected as part of the master's thesis "A pilot study on stain reduction: Effects of Stains, Cleaning Agents, and Cleaning Methods on Polyester Textiles " by Karin Hindborg, Department for Conservation, University of Gothenburg (https://hdl.handle.net/2077/78391).
DOI: 10.5281/zenodo.10572676
title: Tensile testing data for project "Cleaning of church textiles", RAÄ-2022-0924

description: Tensile testing data from the project "Cleaning of church textiles" (Diarienummer RAÄ-2022-0924) including an instrument report compiling all data. All data was collected as part of the master's thesis "A pilot study on stain reduction: Effects of Stains, Cleaning Agents, and Cleaning Methods on Polyester Textiles " by Karin Hindborg, Department for Conservation, University of Gothenburg (https://hdl.handle.net/2077/78391).
DOI: 10.4121/6af610ed-9006-4ac5-b399-4795c2ac01ec.v1
title: Spatially explicit environmental variables at 25m resolution for spatial modelling in the Netherlands

description: This dataset contains 206 spatially explicit environmental variables, also termed covariates, at 25m resolution that cover the entire Netherlands (national scale). The raster data are comprised of covariates related to the soil-forming factors (climate, organism/land use/land cover, relief/topography, parent material/geology) for the purpose of using them for digital soil mapping. However, since the covariates cover a wide range of environmental variables, they can potentially be used for spatial modelling in the Netherlands also outside the field of soil science. All covariates can also be found from the original source, but the potential strength and practicality of this dataset lies in the broad range of readily available, collected, prepared and harmonized raster data.<br>The metadata of all the covariates in this dataset can be found in the "00_covariates_metadata.csv" file, including information about the names, category, value types, specific value types, type of geospatial data, file type, whether its static or dynamic, temporal coverage, date/version, resolution (all 25m), origin, source, access/license, description, processing steps and comments. The dataset includes 3 different types of files:GeoTIFF (.tif): the covariates as raster data at 25m resolution in the EPSG:28992 (Amersfoort / RD New) spatial projectionText (.txt): README files for each covariate with additional metadata information (filename ending in "_readme.txt")Tabular data (.csv): Classification and re-classification table for categorical covariates (filename ending in "_reclassify.csv")<br>Note that the reclassification tables contain potential ways to reclassify the data provided, but can be altered by the user. Reclassification may be useful for categorical covariates with a large number of classes/categories. Note that covariates with CC BY-ND 4.0 licenses, covariates that are not open data or for which the license was unknown are not shared in this dataset.<br>More information about these covariates can be found in the associated scientific paper "BIS-4D: Mapping soil properties and their uncertainties at 25m resolution in the Netherlands" (Helfenstein et al., 2024, under review). Different ways of pre-processing and preparing the covariates for subsequent modelling can be found in R scripts 20-25 in the associated code repository on GitLab. This includes assembling and preparing covariates using GDAL ("20_cov_prep_gdal.R"), computing digital elevation model (DEM) derivatives using SAGA GIS ("21_cov_dem_deriv_saga.R"), deriving spectral indices from RGBNIR bands of Sentinel 2 images ("22_cov_sensing_deriv.R"), preparing categorical covariates using GDAL ("23_cov_cat_recl_gdal.R"), deriving dynamic covariates ("24_cov_dyn_prep_gdal.R") and exploratory analysis of the covariates ("25_cov_expl_analysis_clorpt.Rmd", "25_cov_expl_analysis_cont_cat.Rmd").
DOI: 10.4121/c90215b3-bdc6-4633-b721-4c4a0259d6dc.v2
title: Georeferenced point data of soil properties in the Netherlands

description: This dataset contains georeferenced point data of basic soil properties in the Netherlands from the "Bodemkundig Informatie Systeem" (BIS), the national soil database of the Netherlands. It includes soil point data of clay content [%], silt content [%], sand content [%], bulk density (BD) [g/cm3], soil organic matter (SOM) [%], pH [KCl], total N (Ntot) [mg/kg], oxalate-extractable P (Pox) [mmol/kg] and cation exchange capacity (CEC) [mmol(c)/kg]. All of the soil properties were measured with conventional laboratory methods. In addition to the laboratory measurements, there are also field estimates made by soil surveyors for clay, BD and SOM. All laboratory measurements are part of the "Profielbeschrijving" (PFB) dataset of BIS. Field estimates for clay, BD and SOM are mostly from the "Boring Bodemkundige paket" (BPK) dataset of BIS, as well as some from the PFB dataset. Field estimates from PFB for which there was a laboratory measurement available from the same location and depth were removed from the dataset. All soil laboratory measurements and field estimates were collected by taking soil samples in the field. Soil samples were taken by genetic soil horizons from depths between 0-2 m, excluding the humus/litter/O horizon layer between 1953-2023.<br>Tabular datasets of each georeferenced soil property point data are provided as separate CSV files for each soil property. The soil point data cover the entire Netherlands (national scale) and the spatial projection of the provided X and Y coordinates is EPSG:28992 (Amersfoort / RD New), which is the national projection most commonly used in the Netherlands.<br>All laboratory measurements of all 9 soil properties can be viewed at bodemdata.nl under "Profielbeschrijvingen met analyses". All field estimates can be viewed via the same link under "Profielbeschrijvingen". Here you can also find additional metadata and information of soil properties not included in this dataset. Part of the BIS is also part of the National Key registry of the Subsurface (BRO) of the Netherlands. For more information on subsurface data in the Netherlands you can also see this detailed manual.
DOI: 10.5281/zenodo.10566334
title: METRICS/ADAPT Dataset: Sim2Real Object Detection and Pose Estimation

description: The ADvanced Agile ProducTion (ADAPT) competition, a part of the EU Horizon-2020 funded

project METRICS, is designed to address the challenges in dexterous manipulation of mechanical

parts within the assembly processes. Central to this competition are object detection and pose

estimation capabilities, which are pivotal in contemporary robotic manipulation systems and

which increasingly rely on machine learning algorithms. Hence, evaluating the performance of

these algorithms, particularly when their training is constrained by limited access to

real-world data, is crucial in assessing the readiness for deployment of such systems in

practical settings.

The ADAPT dataset was therefore created specifically for this purpose. It contains detailed

CAD models of three different assembly parts and a collection of real, annotated data. This

data is essential for testing how well part detectors and pose estimators perform in real

situations. Algorithms can be trained using synthetic images created from these CAD models,

thereby helping them learn in simulated conditions. This method is key in closing the gap

between training in simulations and working in actual environments, underscoring the dataset's

role in advancing the use of robots in industrial settings.
DOI: 10.5281/zenodo.10566335
title: METRICS/ADAPT Dataset: Sim2Real Object Detection and Pose Estimation

description: The ADvanced Agile ProducTion (ADAPT) competition, a part of the EU Horizon-2020 funded

project METRICS, is designed to address the challenges in dexterous manipulation of mechanical

parts within the assembly processes. Central to this competition are object detection and pose

estimation capabilities, which are pivotal in contemporary robotic manipulation systems and

which increasingly rely on machine learning algorithms. Hence, evaluating the performance of

these algorithms, particularly when their training is constrained by limited access to

real-world data, is crucial in assessing the readiness for deployment of such systems in

practical settings.

The ADAPT dataset was therefore created specifically for this purpose. It contains detailed

CAD models of three different assembly parts and a collection of real, annotated data. This

data is essential for testing how well part detectors and pose estimators perform in real

situations. Algorithms can be trained using synthetic images created from these CAD models,

thereby helping them learn in simulated conditions. This method is key in closing the gap

between training in simulations and working in actual environments, underscoring the dataset's

role in advancing the use of robots in industrial settings.
DOI: 10.5281/zenodo.10548502
title: Comparison between Lavender and Chamomile in Essential Oil for Pain and Anxiety Reduction during Amniocentesis in Second Trimester Pregnancy; A Randomize Controlled Trial

description: Objective: The purpose of this study was to investigate effectiveness of aromatherapy (lavender and chamomile essential oils) to alleviate pain and reduce anxiety during the amniocentesis procedure in second trimester pregnancy

 

Education level

1 Primary level

2 Secondary level

3 Bachelor level

 

History of surgery

1 Yes

2 No

 

History of amniocentesis 

0 Yes

1 No

 

Indication of amniocentesis

1 Advance age

2 Chromosome abnormalities 

3 Abnormal PND

4 Patient need

 

Pain1 : Expected VAS before amniocentesis 

Pain2 : VAS during amniocentesis 

Pain3 : VAS at 15 minutes after amniocentesis 

Pain4 : VAS at 30 minutes after amniocentesis 

 

Anxiety1 : Expected VFAS before amniocentesis 

Anxiety2 : VFAS during amniocentesis 

Anxiety3 : VFAS at 15 minutes after amniocentesis 

Anxiety4 : VFAS at 30 minutes after amniocentesis
DOI: 10.5281/zenodo.10548503
title: Comparison between Lavender and Chamomile in Essential Oil for Pain and Anxiety Reduction during Amniocentesis in Second Trimester Pregnancy; A Randomize Controlled Trial

description: Objective: The purpose of this study was to investigate effectiveness of aromatherapy (lavender and chamomile essential oils) to alleviate pain and reduce anxiety during the amniocentesis procedure in second trimester pregnancy

 

Education level

1 Primary level

2 Secondary level

3 Bachelor level

 

History of surgery

1 Yes

2 No

 

History of amniocentesis 

0 Yes

1 No

 

Indication of amniocentesis

1 Advance age

2 Chromosome abnormalities 

3 Abnormal PND

4 Patient need

 

Pain1 : Expected VAS before amniocentesis 

Pain2 : VAS during amniocentesis 

Pain3 : VAS at 15 minutes after amniocentesis 

Pain4 : VAS at 30 minutes after amniocentesis 

 

Anxiety1 : Expected VFAS before amniocentesis 

Anxiety2 : VFAS during amniocentesis 

Anxiety3 : VFAS at 15 minutes after amniocentesis 

Anxiety4 : VFAS at 30 minutes after amniocentesis