cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-445195910
title: The 3D structure of cement lines by XRF/SAXS/WAXS tensor tomography: unraveling the border between building blocks in bone
DOI: 10.15151/esrf-es-445197034
title: Investigation of electronic anisotropies with high purity X-ray polarimetry

description: The goal of this proposal is the investigation of tiny electronic anisotropies of d and f orbitals in a rare earth cubic compound revealed by polarization analysis of electric quadrupole transitions and dipole-octupole interference at the rare earth L1 edge. We want to detect polarization changes near the L1 absorption edge with a highly sensitive X-ray polarimeter consisting of two polarizer channel-cuts in a crossed setting that is capable to achieve a very high polarization purity up to 10E-10. This technique allows nearly background free measurements of weak electronic anisotropies. It also enables the separation of the two polarization changing effects - X-ray dichroism and X-ray birefringence, whose relative contribution in the X-ray range has hardly been studied. We will investigate at the Gd L1 absorption edge (8376 eV) a model compound with cubic structure, Gd3Ga5O12(GGG), on which several interesting spectroscopic effects have already been discovered.
DOI: 10.15151/esrf-es-445197251
title: Imaging the magnetisation vector field by Fourier Transform Holography

description: Fourier Transform Holography (FTH) is an established microscopy technique with nanoscale resolution providing images of one projection of the magnetic moments in a thin sample. We propose to extend the scope of the technique by realizing a full vectorial determination of the magnetic moments in two test samples: one with Landau domains around a vortex core, and one with a skyrmion lattice. This improvement is highly desirable for the study of materials with complex magnetic textures such as skyrmions, chiral domain walls, Bloch points, etc...
DOI: 10.15151/esrf-es-445198406
title: High pressure study of charge density wave ordering in P-doped BaNi2As2

description: BaNi2As2 exhibits a variety of electronic phases, encompassing a charge density waves (CDW) which is supressed below a structural transition to a triclinic phase (TS=137 K), in which superconductivity appears (Tc=0.7 K). The interplay between all these phases remains unclear, and to gain further insights, we have recently investigated (proposal HC-4234) the response of the CDW in BaNi2As2 to hydrostatic pressure (HP) using single crystal x-ray diffraction (XRD). The purpose of the present proposal is to extend these measurements to P- doped BaNi2As2 to get insight into the origin of the CDW and their interplay with the other phases.
DOI: 10.15151/esrf-es-445197444
title: High Temperature stress relaxation in a SX Superalloy: an in-situ study
DOI: 10.15151/esrf-es-445198450
title: Molecular bases of regulation of cardiac muscle contractility

description: Regulation of muscle contraction is due to mechanisms on both thin and thick filaments. Ca2+-induced structural changes in the regulatory proteins on the thin filament allow the myosin motors to attach to actin. Thick filament regulation is based on a still undefined mechanosensor that adapts to the load of the contraction the number of motors switched ON from the resting (OFF) state, in which they lie on the thick filament. In the heartbeat the internal [Ca2+] transient may not attain saturation and Ca2+-sensitivity of the filament is a relevant parameter under the control of several modulatory mechanisms, like the length dependent activation and the degree of phosphorylation of sarcomeric proteins. Mutations in these proteins cause dysregulation and cardiomyopathy. Using X-ray diffraction on intact heart trabeculae we define the role of the sarcomeric proteins in the interfilament communication and in the mechanosensing that controls the switching ON of the myosin motors.
DOI: 10.6084/m9.figshare.14864820
title: raw data (cumulative risk assessment of organophosphorus pesticide)

description: data set used to characterize the risk of organophosphorus pesticide in Korea
DOI: 10.6084/m9.figshare.14864820.v1
title: raw data (cumulative risk assessment of organophosphorus pesticide)

description: data set used to characterize the risk of organophosphorus pesticide in Korea
DOI: 10.14457/mu.the.2005.2
title: ชีวิตและผลงานของสุรพล โทณะวณิก
DOI: 10.15151/esrf-es-446323239
title: Investigation of organic oscillators by means of a multivariate coupled XAS/UV-Vis analysis

description: Chemical oscillators are systems in which the concentration of one or more chemical species undergoes a periodic time evolution. The periodic behaviour of the system is driven by an irreversible chemical reaction and is made possible by a series of competing chemical processes that may depend on an element that can exist in different oxidation states. Belousov-Zhabotinsky (BZ) type oscillators exploit bromine chemistry and a metal redox switch such as the Fe(II)/Fe(III) couple to achieve periodicity. The aim of our project is to follow an iron-dependant BZ-type oscillator by means of coupled XAS/UV-Vis detection and to identify the nature and concentration time evolution of the key species through a multivariate analysis of the spectroscopic data. Our combined approach will allow to directly observe and quantify the different redox states of iron and bromine species involved in the various reaction steps.
DOI: 10.6084/m9.figshare.14864904
title: Brexit.xls

description: data
DOI: 10.5281/zenodo.5035858
title: Raw data from a paper on weevil eradication in Kume Island

description: Raw data from a paper on weevil eradication in Kume Island
DOI: 10.5281/zenodo.5035857
title: Raw data from a paper on weevil eradication in Kume Island

description: Raw data from a paper on weevil eradication in Kume Island
DOI: 10.6084/m9.figshare.14864953.v1
title: Supplementary Table 4. Geological stages, species LoD vs MNI comparisons from Taxonomic identification bias does not drive patterns of abundance and diversity in theropod dinosaurs

description: Supplementary Table 4. Results of comparisons between species LoD and MNI per Mesozoic stratigraphic stage and period using GLS. Significant values depicted with ‘*’
DOI: 10.6084/m9.figshare.14864947.v1
title: Supplementary Table 2. Taxonomic subgroups, species LoD vs MNI comparisons from Taxonomic identification bias does not drive patterns of abundance and diversity in theropod dinosaurs

description: Supplementary Table 2. Results of comparisons between species LoD and MNI per theropod subgroup using GLS. Significant values depicted with ‘*’
DOI: 10.6084/m9.figshare.14864938.v1
title: Supplementary Table 3. Formations, species LoD vs MNI comparisons from Taxonomic identification bias does not drive patterns of abundance and diversity in theropod dinosaurs

description: Supplementary Table 3. Results of comparisons between species LoD and MNI within the top five most specious theropod formations using GLS. Significant values depicted with ‘*’
DOI: 10.6084/m9.figshare.14864932.v1
title: Supplementary Table 1. Proportion of diagnostic characters and preservation potential of skeletal elements from Taxonomic identification bias does not drive patterns of abundance and diversity in theropod dinosaurs

description: Supplementary Table 1. List of individual skeletal elements with element-specific preservation potential (relative percentage of occurrences) (‘PP’), proportion of assigned diagnostic characters (‘Ch’), and diagnosability (‘D’) [PP × Ch].
DOI: 10.6084/m9.figshare.14864953
title: Supplementary Table 4. Geological stages, species LoD vs MNI comparisons from Taxonomic identification bias does not drive patterns of abundance and diversity in theropod dinosaurs

description: Supplementary Table 4. Results of comparisons between species LoD and MNI per Mesozoic stratigraphic stage and period using GLS. Significant values depicted with ‘*’
DOI: 10.6084/m9.figshare.14864947
title: Supplementary Table 2. Taxonomic subgroups, species LoD vs MNI comparisons from Taxonomic identification bias does not drive patterns of abundance and diversity in theropod dinosaurs

description: Supplementary Table 2. Results of comparisons between species LoD and MNI per theropod subgroup using GLS. Significant values depicted with ‘*’
DOI: 10.6084/m9.figshare.14864938
title: Supplementary Table 3. Formations, species LoD vs MNI comparisons from Taxonomic identification bias does not drive patterns of abundance and diversity in theropod dinosaurs

description: Supplementary Table 3. Results of comparisons between species LoD and MNI within the top five most specious theropod formations using GLS. Significant values depicted with ‘*’
DOI: 10.6084/m9.figshare.14864932
title: Supplementary Table 1. Proportion of diagnostic characters and preservation potential of skeletal elements from Taxonomic identification bias does not drive patterns of abundance and diversity in theropod dinosaurs

description: Supplementary Table 1. List of individual skeletal elements with element-specific preservation potential (relative percentage of occurrences) (‘PP’), proportion of assigned diagnostic characters (‘Ch’), and diagnosability (‘D’) [PP × Ch].
DOI: 10.6084/m9.figshare.14725179
title: Compressed sequence alignments

description: There are four files contained in this compressed folder1) sequence alignment used to generate the species-level dated phylogeny (Figure 1, Roycroft_species_level.phy)2) sequence alignment used to generate intraspecies phylogeny (Figure S1, Roycroft_intraspecies.fasta)3) whole exome alignments from 48 species, used to estimate heterozygosity (Roycroft_whole_exome_48.fasta)4) sequence alignment of samples used to generate IBD plot (Figure S2, Roycroft_hermanns_gouldii_IBD.nex)
DOI: 10.6084/m9.figshare.14864853.v1
title: Feedback on AR Tool

description: The data recorded the feedback of students and educators in Malaysia towards incorporating augmented reality technology in teaching and learning vectors. A primary dataset of 167 students and 71 educators was collected Questionnaire was designed based on the objectives of the study and collected through an online survey and invitation through email and social media over 4 weeks from March 2021 to April 2021. Study the supportiveness of the students and educators by using AR tools in teaching and learning vectors.
DOI: 10.5281/zenodo.5036018
title: The experimental data

description: Experimental data of the paper "ADARW Training Optimization Algorithm for Deep Learning Model of Marine Target Detection Based on SAR" Data includes three parts: "Model", "Original_data" and "Result_data"
DOI: 10.5281/zenodo.5036017
title: The experimental data

description: Experimental data of the paper "ADARW Training Optimization Algorithm for Deep Learning Model of Marine Target Detection Based on SAR" Data includes three parts: "Model", "Original_data" and "Result_data"
DOI: 10.5517/ccdc.csd.cc26lgy7
title: CCDC 2043549: Experimental Crystal Structure Determination

description: Related Article: Azim Ziyaei Halimehjani, Petr Beier, Maryam Khalili Foumeshi, Ali Alaei, Blanka Klepetářová|2021|Synthesis|53|2219|doi:10.1055/a-1372-1619
DOI: 10.5517/ccdc.csd.cc26lgz8
title: CCDC 2043550: Experimental Crystal Structure Determination

description: Related Article: Azim Ziyaei Halimehjani, Petr Beier, Maryam Khalili Foumeshi, Ali Alaei, Blanka Klepetářová|2021|Synthesis|53|2219|doi:10.1055/a-1372-1619
DOI: 10.5517/ccdc.csd.cc26yzv0
title: CCDC 2054613: Experimental Crystal Structure Determination

description: Related Article: Writhabrata Sarkar, Aniket Mishra, Arup Bhowmik, Indubhusan Deb|2021|Org.Lett.|23|4521|doi:10.1021/acs.orglett.1c01129
DOI: 10.5517/ccdc.csd.cc26yzw1
title: CCDC 2054614: Experimental Crystal Structure Determination

description: Related Article: Writhabrata Sarkar, Aniket Mishra, Arup Bhowmik, Indubhusan Deb|2021|Org.Lett.|23|4521|doi:10.1021/acs.orglett.1c01129
DOI: 10.5517/ccdc.csd.cc26yzx2
title: CCDC 2054615: Experimental Crystal Structure Determination

description: Related Article: Writhabrata Sarkar, Aniket Mishra, Arup Bhowmik, Indubhusan Deb|2021|Org.Lett.|23|4521|doi:10.1021/acs.orglett.1c01129
DOI: 10.5517/ccdc.csd.cc26yzy3
title: CCDC 2054616: Experimental Crystal Structure Determination

description: Related Article: Writhabrata Sarkar, Aniket Mishra, Arup Bhowmik, Indubhusan Deb|2021|Org.Lett.|23|4521|doi:10.1021/acs.orglett.1c01129
DOI: 10.5517/ccdc.csd.cc26yzz4
title: CCDC 2054617: Experimental Crystal Structure Determination

description: Related Article: Writhabrata Sarkar, Aniket Mishra, Arup Bhowmik, Indubhusan Deb|2021|Org.Lett.|23|4521|doi:10.1021/acs.orglett.1c01129
DOI: 10.5517/ccdc.csd.cc26z007
title: CCDC 2054618: Experimental Crystal Structure Determination

description: Related Article: Writhabrata Sarkar, Aniket Mishra, Arup Bhowmik, Indubhusan Deb|2021|Org.Lett.|23|4521|doi:10.1021/acs.orglett.1c01129
DOI: 10.5517/ccdc.csd.cc26z018
title: CCDC 2054619: Experimental Crystal Structure Determination

description: Related Article: Writhabrata Sarkar, Aniket Mishra, Arup Bhowmik, Indubhusan Deb|2021|Org.Lett.|23|4521|doi:10.1021/acs.orglett.1c01129
DOI: 10.5517/ccdc.csd.cc26z029
title: CCDC 2054620: Experimental Crystal Structure Determination

description: Related Article: Writhabrata Sarkar, Aniket Mishra, Arup Bhowmik, Indubhusan Deb|2021|Org.Lett.|23|4521|doi:10.1021/acs.orglett.1c01129
DOI: 10.5517/ccdc.csd.cc26z03b
title: CCDC 2054621: Experimental Crystal Structure Determination

description: Related Article: Writhabrata Sarkar, Aniket Mishra, Arup Bhowmik, Indubhusan Deb|2021|Org.Lett.|23|4521|doi:10.1021/acs.orglett.1c01129
DOI: 10.5517/ccdc.csd.cc26z04c
title: CCDC 2054622: Experimental Crystal Structure Determination

description: Related Article: Writhabrata Sarkar, Aniket Mishra, Arup Bhowmik, Indubhusan Deb|2021|Org.Lett.|23|4521|doi:10.1021/acs.orglett.1c01129
DOI: 10.5517/ccdc.csd.cc26zqfc
title: CCDC 2055313: Experimental Crystal Structure Determination

description: Related Article: Sudheesh T. Sivanandan, Irishi N. N. Namboothiri|2021|J.Org.Chem.|86|8465|doi:10.1021/acs.joc.1c00422
DOI: 10.5517/ccdc.csd.cc272b0p
title: CCDC 2057811: Experimental Crystal Structure Determination

description: Related Article: Maneesh Kumar Reddy Singam, Undamatla Suri Babu, Attunuri Nagireddy, Jagadeesh Babu Nanubolu, Maddi Sridhar Reddy|2021|J.Org.Chem.|86|8069|doi:10.1021/acs.joc.1c00477
DOI: 10.5517/ccdc.csd.cc278l15
title: CCDC 2063826: Experimental Crystal Structure Determination

description: Related Article: Denis D. Borisov, Grigorii R. Chermashentsev, Roman A. Novikov, Yury V. Tomilov|2021|J.Org.Chem.|86|8489|doi:10.1021/acs.joc.1c00536
DOI: 10.5517/ccdc.csd.cc279nbk
title: CCDC 2064858: Experimental Crystal Structure Determination

description: Related Article: Maria A. Belaya, Daniil A. Knyazev, Denis D. Borisov, Roman A. Novikov, Yury V. Tomilov|2021|J.Org.Chem.|86|8089|doi:10.1021/acs.joc.1c00564
DOI: 10.5517/ccdc.csd.cc26l2tq
title: CCDC 2043173: Experimental Crystal Structure Determination

description: Related Article: Yuma Morimoto, Makito Kawai, Aya Nakanishi, Hideki Sugimoto, Shinobu Itoh|2021|Inorg.Chem.|60|8554|doi:10.1021/acs.inorgchem.1c00475
DOI: 10.6084/m9.figshare.14077022
title: Pure Fatty Acid supplemented diet feeding experiment of Collembola

description: Table S2: Design Experiment Dataset. Contains Total Lipid Fatty Acid (TLFA) biomass [µmol g-1 fresh weight] signatures of the single and mixed diet setups as well as the signatures of the Collembola species Protaphorura fimata, Folsomia candida and Lepidocyrtus violaceus fed on those diets.
DOI: 10.6084/m9.figshare.14077022.v1
title: Pure Fatty Acid supplemented diet feeding experiment of Collembola

description: Table S2: Design Experiment Dataset. Contains Total Lipid Fatty Acid (TLFA) biomass [µmol g-1 fresh weight] signatures of the single and mixed diet setups as well as the signatures of the Collembola species Protaphorura fimata, Folsomia candida and Lepidocyrtus violaceus fed on those diets.
DOI: 10.25625/oi2t8n/pnahlc
title: ResearchDataManagement_v1_ModelSEN.pdf

description: :unav
DOI: 10.25625/oi2t8n
title: Research Data Managment Outline

description: This document describes the RDM Outline for the research project ModelSEN at the Max Planck Institute for the History of Science.
DOI: 10.5281/zenodo.5005265
title: Downscaled surface mass balance in Antarctica: impacts of subsurface processes and large-scale atmospheric circulation

description: Here is the surface mass balance calculated from a offline subsurface model, that is used in the paper Downscaled surface mass balance in Antarctica: impacts of subsurface processes and large-scale atmospheric circulation.<br> More data are available by contacting nichsen@space.dtu.dk
DOI: 10.5281/zenodo.5005264
title: Downscaled surface mass balance in Antarctica: impacts of subsurface processes and large-scale atmospheric circulation

description: Here is the surface mass balance calculated from a offline subsurface model, that is used in the paper Downscaled surface mass balance in Antarctica: impacts of subsurface processes and large-scale atmospheric circulation.<br> More data are available by contacting nichsen@space.dtu.dk
DOI: 10.6084/m9.figshare.14695473
title: Synergistic effects of insect herbivory and changing climate on plant volatile emissions in the subarctic tundra

description: The dataset includes all VOC data used for the paper "Synergistic effects of insect herbivory and changing climate on plant volatile emissions in the subarctic tundra" publised on Global Change Biology
DOI: 10.6084/m9.figshare.14695473.v1
title: Synergistic effects of insect herbivory and changing climate on plant volatile emissions in the Arctic tundra

description: The dataset includes all VOC data used for the paper "Synergistic effects of insect herbivory and changing climate on plant volatile emissions in the Arctic tundra" publised on Global Change Biology
DOI: 10.17197/u21001
title: U21001 Bruksdöden: sociala och ekonomiska konsekvenser från 1800-talet till idag

description: Datauttaget kommer att fungera som en utgångspunkt för en studie om hur teknologiska förändringar under Sveriges industrialisering påverkade den geografiska fördelningen av befolkningen och den ekonomisk aktiviteten i landet, samt vilka ekonomiska och sociala konsekvenser detta hade för berörda arbetare och individer. Det är en kvantitativ studie som ska länka samman historiska data från flertalet källor. Utredare och systemutvecklare vid CEDAR, avdelningen för Demografiska databasen, har arbetat med att ta ut detta data från databasen TABVERK. Tabellverket bildades 1749 var verksamt fram till 1859, då Kungliga Statistiska Centralbyrån inrättades och övertog insamlandet av befolkningsstatistiken. Tabellverksmaterialet innehåller information om ca 2 500 församlingar, samtliga i Sverige. Informationen täcker en stor mängd uppgifter om, för att nämna några, antal födda och döda, yrken, vigslar och - inte minst - dödsorsaker.
DOI: 10.24396/ordar-71
title: 2016 Water flow (Qtvar) at BETH dam - Orne River - Moyeuvre-Grande - FRANCE

description: instantaneous flow (Qtvar) of the Orne River at Beth dam.
DOI: 10.24396/ordar-72
title: 2017 - Water flow (Qtvar) at BETH dam, ORNE RIVER, MOYEUVRE-GRANDE, FRANCE

description: instantaneous flow (Qtvar) of river waters at BETH dam, Orne River, Moyeuvre-Grande, France.
DOI: 10.24396/ordar-73
title: 2018 Water flow (Qtvar) at BETH dam - Orne River - Moyeuvre-Grande - FRANCE

description: instantaneous flow (Qtvar) of the Orne River at Beth dam.
DOI: 10.6084/m9.figshare.14864910
title: Supplementary material for the paper "Conditional simulation of spatial rainfall fields using random mixing: a study that implements full control over the stochastic process".

description: This serves as supplementary material to a paper accepted for publication in HESS journal: "Conditional simulation of spatial rainfall fields using random mixing: a study that implements full control over the stochastic process". The generation procedures of the synthetic rainfall fields are explained in the Python script gen_gaugeData.py. The Python script gen_radar_gauge_data.py shows the generation procedures of the radar and rain gauge data. The Python script specsim_simple.py applies the method -- fast Fourier transform for regular grids -- to generate correlated Gaussian random fields. The other .npy files archived under this link are datasets used when applying the proposed approach in the paper.
DOI: 10.6084/m9.figshare.14864910.v1
title: Supplementary material for the paper "Conditional simulation of spatial rainfall fields using random mixing: a study that implements full control over the stochastic process".

description: This serves as supplementary material to a paper accepted for publication in HESS journal: "Conditional simulation of spatial rainfall fields using random mixing: a study that implements full control over the stochastic process". The generation procedures of the synthetic rainfall fields are explained in the Python script gen_gaugeData.py. The Python script gen_radar_gauge_data.py shows the generation procedures of the radar and rain gauge data. The Python script specsim_simple.py applies the method -- fast Fourier transform for regular grids -- to generate correlated Gaussian random fields. The other .npy files archived under this link are datasets used when applying the proposed approach in the paper.
DOI: 10.24396/ordar-74
title: 2015 Water flow (Qtvar) at BETH dam - Orne River - Moyeuvre-Grande - FRANCE

description: instantaneous flow (Qtvar) of the Orne River at Beth dam.