cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14445750.v1
title: The accession numbers and sequences of body size- related genes in reptiles

description: The accession numbers and sequences of body size- related genes in reptiles
DOI: 10.6084/m9.figshare.14445750
title: The accession numbers and sequences of body size- related genes in reptiles

description: The accession numbers and sequences of body size- related genes in reptiles
DOI: 10.6084/m9.figshare.14130723.v1
title: Additional file 1 of Occurrence of plant secondary metabolite fingerprints in river waters from Eastern Jutland, Denmark

description: Additional file 1. Occurrence of plant secondary metabolite fingerprints in river waters from Eastern Jutland, Denmark.
DOI: 10.6084/m9.figshare.14130723
title: Additional file 1 of Occurrence of plant secondary metabolite fingerprints in river waters from Eastern Jutland, Denmark

description: Additional file 1. Occurrence of plant secondary metabolite fingerprints in river waters from Eastern Jutland, Denmark.
DOI: 10.25919/r7ek-v731
title: Parkes observations for project P1068 semester 2020APRS_42

description: In the fast-moving world of Fast Radio Bursts (FRBs), the key question of what fraction (as high as 100%?) of FRBs emit repeat bursts remains unanswered. Of order 10 repeating FRBs are now known, and their spectro-temporal properties hint at differences with apparently non-repeating bursts - but poor statistics preclude a definitive diagnosis. FRB 180301 is a promising source for further study for multiple reasons: it is the first repeating FRB seen by the FAST telescope, and has the second-highest rotation measure ever seen for a FRB (after the original repeater, FRB121102). We request Parkes observations with the UWL to characterise the broadband emission properties of this FRB, with the following key goals: to constrain the repetition rate, identify any variation of pulse characteristics over time, and provide insight into the emission mechanisms. In its initial detection, FRB 180301 was poorly fit by regular Faraday rotation models, and showed significant circular polarization, which may indicate the progenitor is embedded in an extreme magneto-ionic environment with complex field structure that has not been seen before. These observations will generate a large data volume. We will use the Medusa backend in parallel with the Breakthrough Listen data recorder (BL), and will transfer data to BL immediately after observations.These data will be used by P. Kumar to prototype a FRB pipeline for the UWL, that will be made broadly available for similar studies.
DOI: 10.5517/ccdc.csd.cc25fxxg
title: CCDC 2009386: Experimental Crystal Structure Determination

description: Related Article: Tingting Li, Chengli Mou, Puying Qi, Xiaolin Peng, Shichun Jiang, Gefei Hao, Wei Xue, Song Yang, Lin Hao, Yonggui Robin Chi, Zhichao Jin|2021|Angew.Chem.,Int.Ed.|60|9362|doi:10.1002/anie.202010606
DOI: 10.5517/ccdc.csd.cc26hgsz
title: CCDC 2040661: Experimental Crystal Structure Determination

description: Related Article: Bingyang Wang, Bo Xu, Wen Xun, Yiming Guo, Jing Zhang, Fayang G. Qiu|2021|Angew.Chem.,Int.Ed.|60|9439|doi:10.1002/anie.202016212
DOI: 10.6084/m9.figshare.14446035
title: The raw data of chloroplast genome of Moricandia arvensis

description: The raw data of chloroplast genome of Moricandia arvensis
DOI: 10.6084/m9.figshare.14446035.v1
title: The raw data of chloroplast genome of Moricandia arvensis

description: The raw data of chloroplast genome of Moricandia arvensis
DOI: 10.6084/m9.figshare.12471461.v12
title: Knight et al. The Clostridioides difficile species problem: global phylogenomic analysis uncovers three ancient, toxigenic, genomospecies. bioRxiv 2020.09.21.307223; doi: https://doi.org/10.1101/2020.09.21.307223

description: 1. Supplementary File 1 (Summary data; MLST, pangenome, taxonomy, GWAS, toxins)<br> 2. Supplementary File 2 (Global MLST tree file, manuscript Figure 2) <br><br> 3. Supplementary File 3 (BEAST tree file, manuscript Figure 4)<br> 4. Supplementary File 4 (BactDating tree file, manuscript Figure 4)
DOI: 10.6084/m9.figshare.14446296
title: TAGAP MS.zip

description: We used GST PULL-DOWN and Mass spectrometry to identify the TAGAP-interacting proteins, and this data set is the result for identified proteins.
DOI: 10.34777/ff3f-ba56
title: COHFACE

description: COHFACE is a remote photoplethysmography  (rPPG) dataset. The dataset contains RGB videos of faces, synchronized with heart-rate and breathing-rate of the recorded subjects. The dataset includes 160 one-minute long video sequences of 40 subjects (12 females and 28 males).
DOI: 10.6084/m9.figshare.14446332
title: NTRK.v2(1).xls

description: MLH1/PMS2 Expression Could Tell Classical NTRK Fusion in Fluorescence In Situ Hybridization Positive Colorectal Carcinomas
DOI: 10.5281/zenodo.4699883
title: Reference physics code used by ParGRIST-A21.4.16

description: Provided "as is".
DOI: 10.5281/zenodo.4699882
title: Reference physics code used by ParGRIST-A21.4.16

description: Provided "as is".
DOI: 10.5517/ccdc.csd.cc276wjw
title: CCDC 2062198: Experimental Crystal Structure Determination

description: Related Article: David L. Cousins, Prisca Fricero, Kenji P. M. Kopf, Elliot J. McColl, Werngard Czechtizky, Yee Hwee Lim, Joseph P. A. Harrity|2021|Angew.Chem.,Int.Ed.|60|9412|doi:10.1002/anie.202101297
DOI: 10.5517/ccdc.csd.cc276wr3
title: CCDC 2062205: Experimental Crystal Structure Determination

description: Related Article: David L. Cousins, Prisca Fricero, Kenji P. M. Kopf, Elliot J. McColl, Werngard Czechtizky, Yee Hwee Lim, Joseph P. A. Harrity|2021|Angew.Chem.,Int.Ed.|60|9412|doi:10.1002/anie.202101297
DOI: 10.5517/ccdc.csd.cc276wx8
title: CCDC 2062210: Experimental Crystal Structure Determination

description: Related Article: David L. Cousins, Prisca Fricero, Kenji P. M. Kopf, Elliot J. McColl, Werngard Czechtizky, Yee Hwee Lim, Joseph P. A. Harrity|2021|Angew.Chem.,Int.Ed.|60|9412|doi:10.1002/anie.202101297
DOI: 10.5281/zenodo.4646835
title: Preclinical NEMA image quality phantom CT data

description: This is a preclinical (cone beam) computed tomography (CT) dataset containing the raw projection images of a NEMA image quality phantom measured with the preclinical Siemens Inveon CT scanner. Included are the projection images (.cat), the corresponding header that contains the relevant scanner information as well as FDK reconstruction (.img), created by the Siemens Inveon Acquisition workplace software, and its header. This dataset was used for attenuation correction of PET data. The projection data first contains an unknown header section of 25280 bytes. After this, a dark measurement of size 768x512 is included and after the dark data is 768x512 light measurement. These can be used for dark/light normalization/flat-field correction. After these, the actual projection images are included. This is also a step-and-shoot measurement with three different bed positions. The data is formatted as signed 16-bit integers and contains 121 projections for each bed position. The projection data contains the raw detected photons. The center of rotation is not in the origin and without corrections will cause artifacts in the reconstructions. The header file contains variables <em>ct_projection_center_offset</em> and <em>ct_projection_horizontal_bed_offset </em>that can be used to correct for the offset. If you shift the source location with <em>ct_projection_center_offset</em> - <em>ct_projection_horizontal_bed_offset </em>the reconstructions should be artifact free. Note, however, that this was determined experimentally and may not be totally accurate. An example utilizing this dataset is available with the OMEGA software. A PET measurement of the same phantom is available from https://zenodo.org/record/4646897. The measurement data was collected by Jarmo Teuho.
DOI: 10.5281/zenodo.4646897
title: Preclinical NEMA image quality phantom PET data

description: This is a preclinical positron emission tomography (PET) dataset containing the list-mode data of a NEMA image quality phantom measured with the preclinical Siemens Inveon PET scanner. Included are the list-mode datafile (.lst), sinogram file (.scn) created by the Siemens Inveon Acquisition workplace (IAW) software, MAP-OSEM3D reconstruction (.img) created by IAW, scatter correction sinogram (_sct.scn) created by IAW and the attenuation correction UMAP-file (.img) created by IAW. All the corresponding header files are included that contain all the relevant information, with the exception of reading the binary list-mode data. For documentation on reading the list-mode binary data, please ask Siemens. No normalization data is included in this dataset. You can, however, use the normalization data from Preclinical PET data. This dataset can be used in the OMEGA software, including the list-mode data, to import the data to MATLAB/Octave, create sinograms from the list-mode data and reconstruct the imported data. For help on using the dataset with OMEGA, see the wiki. The CT data, that was used to create the UMAP-file, is available from https://zenodo.org/record/4646835. The measurement data was collected by Jarmo Teuho.
DOI: 10.5281/zenodo.4646834
title: Preclinical NEMA image quality phantom CT data

description: This is a preclinical (cone beam) computed tomography (CT) dataset containing the raw projection images of a NEMA image quality phantom measured with the preclinical Siemens Inveon CT scanner. Included are the projection images (.cat), the corresponding header that contains the relevant scanner information as well as FDK reconstruction (.img), created by the Siemens Inveon Acquisition workplace software, and its header. This dataset was used for attenuation correction of PET data. The projection data first contains an unknown header section of 25280 bytes. After this, a dark measurement of size 768x512 is included and after the dark data is 768x512 light measurement. These can be used for dark/light normalization/flat-field correction. After these, the actual projection images are included. This is also a step-and-shoot measurement with three different bed positions. The data is formatted as signed 16-bit integers and contains 121 projections for each bed position. The projection data contains the raw detected photons. The center of rotation is not in the origin and without corrections will cause artifacts in the reconstructions. The header file contains variables <em>ct_projection_center_offset</em> and <em>ct_projection_horizontal_bed_offset </em>that can be used to correct for the offset. If you shift the source location with <em>ct_projection_center_offset</em> - <em>ct_projection_horizontal_bed_offset </em>the reconstructions should be artifact free. Note, however, that this was determined experimentally and may not be totally accurate. An example utilizing this dataset is available with the OMEGA software. A PET measurement of the same phantom is available from https://zenodo.org/record/4646897. The measurement data was collected by Jarmo Teuho.
DOI: 10.5281/zenodo.4646896
title: Preclinical NEMA image quality phantom PET data

description: This is a preclinical positron emission tomography (PET) dataset containing the list-mode data of a NEMA image quality phantom measured with the preclinical Siemens Inveon PET scanner. Included are the list-mode datafile (.lst), sinogram file (.scn) created by the Siemens Inveon Acquisition workplace (IAW) software, MAP-OSEM3D reconstruction (.img) created by IAW, scatter correction sinogram (_sct.scn) created by IAW and the attenuation correction UMAP-file (.img) created by IAW. All the corresponding header files are included that contain all the relevant information, with the exception of reading the binary list-mode data. For documentation on reading the list-mode binary data, please ask Siemens. No normalization data is included in this dataset. You can, however, use the normalization data from Preclinical PET data. This dataset can be used in the OMEGA software, including the list-mode data, to import the data to MATLAB/Octave, create sinograms from the list-mode data and reconstruct the imported data. For help on using the dataset with OMEGA, see the wiki. The CT data, that was used to create the UMAP-file, is available from https://zenodo.org/record/4646835. The measurement data was collected by Jarmo Teuho.
DOI: 10.5281/zenodo.4697951
title: Main Text Data for "Persistent and Partially Mobile Oxygen Vacancies in Li-Rich Layered Oxides"

description: This zip file contains all main text data for the publication "Persistent and Partially Mobile Oxygen Vacancies in Li-Rich Layered Oxides". Within each folder, there exist README files which explain how to interpret the files contained therein. Note that this is the second version. The only difference from the 1st is that the 1st version had RGB Image files (for Fig. 2a-c , Fig. 4a,b , and Fig. 5a-c) which featured a red/green color scheme. The color scheme was later changed to blue/yellow, and the RGB Image files are updated in this version appropriately.
DOI: 10.5281/zenodo.4671313
title: Main Text Data for "Persistent and Partially Mobile Oxygen Vacancies in Li-Rich Layered Oxides"

description: This zip file contains all main text data for the publication "Persistent and Partially Mobile Oxygen Vacancies in Li-Rich Layered Oxides". Within each folder, there exist README files which explain how to interpret the files contained therein. Note that this is the second version. The only difference from the 1st is that the 1st version had RGB Image files (for Fig. 2a-c , Fig. 4a,b , and Fig. 5a-c) which featured a red/green color scheme. The color scheme was later changed to blue/yellow, and the RGB Image files are updated in this version appropriately.
DOI: 10.5281/zenodo.4671314
title: Main Text Data for "Persistent and Partially Mobile Oxygen Vacancies in Li-Rich Layered Oxides"

description: This zip file contains all main text data for the publication "Persistent and Partially Mobile Oxygen Vacancies in Li-Rich Layered Oxides". Within each folder, there exist README files which explain how to interpret the files contained therein.
DOI: 10.18746/bmth.data.00000155
title: Holistic indoor scene understanding, modelling and reconstruction from single images
DOI: 10.25345/c5fv4p
title: MassIVE MSV000087230 - Metaproteomics analysis of Tan sheep rumen microbes
title: Metaproteomics analysis of rumen microbiome: All samples were analyzed by an online nanospray Orbitrap Fusion Lumos Tribrid mass spectrometer (Thermo Fisher Scientific, MA, USA) coupled with a Nano ACQUITY UPLC system (Waters Corporation, Milford, MA). Peptides from each sample were mixed and used for the collection of the DDA (Data Dependent Acquisition) database using high pH RP reversed phase chromatographic classification (Agilent 1100). Protein discoverer 2.1.0182 (Thermo Fisher Scientific, Rockford, IL, USA) was used for the protein retrieval and analysis of DDA data. The six ruminal microbial protein samples were collected for DIA (Data Independent Acquisition) data and analyzed quantitatively by skyline software (Department of Genome Sciences, University of Washington, Ave. ne, Seattle, WA). DDA data were analyzed using Proteome Discoverer 2.1.0182 (Thermo Fisher Scientific, Rockford, IL, USA). Peptide Mass tolerance was set to 10 ppm, and Fragment Mass Tolerance was 0.02 Da. We found 6,154 protein groups and 22,333 peptides were identified and quantified by peptide-centric DIA analysis from the 6 rumen fluid samples, .
DOI: 10.6084/m9.figshare.12948713.v1
title: A dataset on affiliation of venture capitalists in China between 2000 and 2016

description: This dataset identifies the affiliation of each VC that have invested in China between 2000 and 2006. Specifically, a VC can be labelled as the following types: GVC (public agency-affiliated, state-owned enterprise-affiliated, and government-supported non-profit-organization-affiliated VC), CVC (corporate VC), IVC (independent VC), BVC (bank-affiliated VC), FVC (financial & non-bank-affiliated VC), UVC (university endowment/spin-out unit), and PenVC (pension-affiliated VC). The dataset also denotes whether a VC has foreign background. For more information, please contact Dr Jin Chen, University of Nottingham Ningbo China (Email: jin.chen@nottingham.edu.cn).
DOI: 10.15151/esrf-es-424006209
title: Rheo-SAXS investigation of dilute lyotropic phases

description: This study explores the state diagram of dilute lyotropic phases formed in a four component microemulsion system consisting of SDS, brine, decane and octanol. Different shear protocols are used to elucidate the microstructure of coexisting phases with relatively long periodicities.
DOI: 10.15151/esrf-es-406686188
title: Deciphering optical & H+ transport properties in Amyloid fibers: Structure/property correlation through in situ & operando SWAXS under RH, l
DOI: 10.15151/esrf-es-404439656
title: Electron-Phonon Coupling in High-Tc Bismuthates
DOI: 10.15151/esrf-es-405810759
title: Study of atomic structural degradation of high performance PEM-FC Pt-alloy intermetallic electrocatalysts.

description: This experiment will provide new insights into the structure-stability relationship of a new class of high-performance, intermetallic Pt-alloy oxygen reduction reaction (ORR) electrocatalysts used in proton exchange membrane fuel cells (PEMFCs). Operando high-energy SAXS and XRD will qualitatively and quantitatively resolve the structural evolution of Pt-alloy nanoparticles on the atomic scale inside a complete fuel cell device throughout an accelerated stress test. Various degradation phenomena will be simultaneously probed, including leaching of the less noble metal, dissolution, morphological restructuring, strain relaxation, surface distortion, intermetallic (dis)ordering and effect of Au doping.
DOI: 10.15151/esrf-es-404475765
title: Linking Structure to Function in Sensory Networks of Autism Spectrum Disorder

description: We plan to combine structural and functional information about brain networks and how they change in the context of autism spectrum disorder (ASD). The goals are to collect high-resolution whole-brain datasets using hard X-ray nano-tomography, and to combine these data with our whole-brain functional datasets. This work is proposed in the zebrafish larval model system, which provides suitable optical properties to produce the in vivo functional data and a small size, enabling whole-brain analysis at the throughput offered by the synchrotron source. With light-sheet microscopy, we will describe how functional sensory networks differ in normal and fmr1-mutant (ASD model) zebrafish and register these data to the 100nm-resolution volumetric datasets of the same animals collected at ESRF. This will provide the first holistic description of how changes in the microstructure and network architecture of the brain lead to phenotypes like those seen in patients with psychiatric disorders.
DOI: 10.15151/esrf-es-404930052
title: Local structure of glassy GeO2 at Mbar pressure conditions

description: Understanding the structural response of network-forming glasses to pressure is of great interest for condensed matter physics, geoscience and materials science. Silica (SiO2) and germania (GeO2) are prototype network-forming glasses. Recently a large debate is emerging about atomic coordination of these glasses under extreme compression as some experimental and theoretical works have reported that the coordination in glassy phases could exceed that of their crystalline counterparts in the 40-100 GPa range. Therefore, we propose here to address this issue by investigating the local structure of glassy GeO2 by X-ray Absorption Spectroscopy up to the Mbar range (150 GPa) and compare it to that of rutile GeO2.
DOI: 10.15151/esrf-es-418023205
title: Probing Grain-Level Residual Stresses in Railway Steels

description: Residual stresses that develop during the heat treatment of railway steels can cause material failure. Here we investigate grain level stresses in samples with defined strain and heat treatment procedures using Dark Field X-ray Microscopy. The aim is to measure the intra granular strain and orientation gradients, Obtained results will not only help understanding the strain formation but also can be used as input parameters for material modelling.
DOI: 10.15151/esrf-es-407031851
title: Electronic structure study of lanthanide(II) and lanthanide(III) materials
DOI: 10.6084/m9.figshare.14446386.v1
title: Mycobiota associated with vascular wilt of poplar

description: In 2017, the 560-ha area of hybrid poplar plantation in northern Poland showed symptoms of tree decline. Leaves appeared smaller, yellow-brown, and were shed prematurely. Twigs and smaller branches died without distinct cankers. Trunks decayed from the base. Phloem and xylem showed brown necrosis. Ten per cent of trees died 1-2 months after the first appearance of symptoms. None of these symptoms was typical for known poplar diseases.<b> </b>Mycobiota was analysed with Illumina sequencing. A total of 69 467 and 70 218 OTUs were obtained from the soil and wood. Blastocladiomycota and Chytridiomycota occurred only in soil, with very low frequencies (0.005% and 0.008%). Two taxa of Glomeromycota with frequency 0.001% occurred in wood. In soil and wood, frequencies of Zygomycota were 3.631% and 0.006%, of<i> </i>Ascomycota 45.299% and 68.697%, and of Basidiomycota 4.119% and 2.076%. At least 400 taxa of fungi were present. Identifiable Zygomycota, Ascomycota, and Basidiomycota were represented by at least 18, 263 and 81 taxa, respectively. Many fungi were common to soil and wood, but 160 taxa occurred only in soil and 73 only in wood. Root pathogens included species of Oomycota. Vascular and parenchymal pathogens included species of Ascomycota and of Basidiomycota.<b> </b>The initial endophytic character of fungi is emphasized. Soil and possibly planting material may be the sources of pathogen inoculum, and climate warming is likely to be a predisposing factor<b>.</b> Water deficit may increase tree susceptibility
DOI: 10.25919/78ez-b688
title: Parkes observations for project P1068 semester 2020APRS_41

description: In the fast-moving world of Fast Radio Bursts (FRBs), the key question of what fraction (as high as 100%?) of FRBs emit repeat bursts remains unanswered. Of order 10 repeating FRBs are now known, and their spectro-temporal properties hint at differences with apparently non-repeating bursts - but poor statistics preclude a definitive diagnosis. FRB 180301 is a promising source for further study for multiple reasons: it is the first repeating FRB seen by the FAST telescope, and has the second-highest rotation measure ever seen for a FRB (after the original repeater, FRB121102). We request Parkes observations with the UWL to characterise the broadband emission properties of this FRB, with the following key goals: to constrain the repetition rate, identify any variation of pulse characteristics over time, and provide insight into the emission mechanisms. In its initial detection, FRB 180301 was poorly fit by regular Faraday rotation models, and showed significant circular polarization, which may indicate the progenitor is embedded in an extreme magneto-ionic environment with complex field structure that has not been seen before. These observations will generate a large data volume. We will use the Medusa backend in parallel with the Breakthrough Listen data recorder (BL), and will transfer data to BL immediately after observations.These data will be used by P. Kumar to prototype a FRB pipeline for the UWL, that will be made broadly available for similar studies.
DOI: 10.6084/m9.figshare.14434964.v10
title: Additional file of Comparative transcriptomics of drought responses in Populus: a meta-analysis of genome-wide expression profiling in mature leaves and root apices across two genotypes

description: Additional file of Comparative transcriptomics of drought responses in Populus: a meta-analysis of genome-wide expression profiling in mature leaves and root apices across two genotypes