cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc22851l
title: CCDC 1914468: Experimental Crystal Structure Determination

description: Related Article: Wen-Tong Chen|2020|J.Solid State Chem.|292|121700|doi:10.1016/j.jssc.2020.121700
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2880h2
title: CCDC 2093073: Experimental Crystal Structure Determination

description: Related Article: Pascal Jurt, Anne Sofie Abels, Juan José Gamboa-Carballo, Israel Fernández, Grégoire Le Corre, Marcel Aebli, Matthew G. Baker, Frederik Eiler, Fabian Müller, Michael Wörle, René Verel, Sébastien Gauthier, Monica Trincado, Thomas L. Gianetti, Hansjörg Grützmacher|2021|Angew.Chem.,Int.Ed.|60|25372|doi:10.1002/anie.202109642
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2880k4
title: CCDC 2093075: Experimental Crystal Structure Determination

description: Related Article: Pascal Jurt, Anne Sofie Abels, Juan José Gamboa-Carballo, Israel Fernández, Grégoire Le Corre, Marcel Aebli, Matthew G. Baker, Frederik Eiler, Fabian Müller, Michael Wörle, René Verel, Sébastien Gauthier, Monica Trincado, Thomas L. Gianetti, Hansjörg Grützmacher|2021|Angew.Chem.,Int.Ed.|60|25372|doi:10.1002/anie.202109642
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.14278/rodare.2475
title: Data publication: (Radio)labeling of Micro-/Nanoplastics by In-diffusion

description: Daten zur Radiomarkierung von Mikroplastikpartikeln: Cu-Komplexierung; Cu-64 eindiffusion, Fluoreszenz-Markierung; HSP screening; Hydrophobizitäts Messungen; Elektronen-/Lichtmikroskopie; Quellversuche; Spektren.
description: Funding from the European Union´s Horizon 2020 research and innovation program under the Grant Agreement No. 95237 (SurfBio) is acknowledged. Furthermore, financial support by the Helmholtz-Association, grant PIE-0007 (CROSSING) is acknowledged.
DOI: 10.14278/rodare.2476
title: Data publication: (Radio)labeling of Micro-/Nanoplastics by In-diffusion

description: Daten zur Radiomarkierung von Mikroplastikpartikeln: Cu-Komplexierung; Cu-64 eindiffusion, Fluoreszenz-Markierung; HSP screening; Hydrophobizitäts Messungen; Elektronen-/Lichtmikroskopie; Quellversuche; Spektren.
description: Funding from the European Union´s Horizon 2020 research and innovation program under the Grant Agreement No. 95237 (SurfBio) is acknowledged. Furthermore, financial support by the Helmholtz-Association, grant PIE-0007 (CROSSING) is acknowledged.
DOI: 10.57745/8bljem
title: Summary.txt

description: :unav
DOI: 10.57745/m846tl
title: Panorama of infant follow-on formulas.ods

description: :unav
DOI: 10.57745/pijlyg
title: Overview.tab

description: :unav
DOI: 10.57745/pogcqf
title: Nutritional values.tab

description: :unav
DOI: 10.57745/wxh8ig
title: Examples of regulation.tab

description: :unav
DOI: 10.25828/tn4s-hr61
title: General Household Survey 2022
DOI: 10.4121/aac28a20-1da4-4f6e-b9d3-2f3fefcd2ceb.v1
title: Data underlying the publication: Elevated acyl-PG and menaquinone levels structurally stabilize membranes to minimize proton leakage in Caldalkalibacillus thermarum TA2.A1

description: This entry contains the necessary information to access the data of the manuscript that is submitted to Environmental Microbiology: "Elevated acyl-PG and menaquinone levels structurally stabilize membranes to minimize proton leakage in Caldalkalibacillus thermarum TA2.A1"By Samuel Ilan de Jong at Delft University of TechnologySupervisors: Mark van Loosdrecht & Duncan McMillanDepartment of Biotechnology, Section of Environmental MicrobiologyWhen using this data, please cite this paper
DOI: 10.6084/m9.figshare.24201612.v1
title: Table_S1.xlsx

description: Table S1 Genome information for metagenome-assembled genomes (MAGs) associated with the paper "Metagenome-assembled genomes from enrichment cultures grown on xenobiotic solvents".
DOI: 10.5281/zenodo.8383310
title: Dataset for: The role of hydrides and precipitates on the strain localisation behaviour in a zirconium alloy

description: <strong>This is the dataset used in the following publication: </strong> R. Thomas, D. Lunt, M.D. Atkinson, J. Quinta da Fonseca, M. Preuss, P. Honniball, P. Frankel, The role of hydrides and precipitates on the strain localisation behaviour in a zirconium alloy, Acta Materialia, 2023, 119327, ISSN 1359-6454, https://doi.org/10.1016/j.actamat.2023.119327. <strong>Contained in this dataset are:</strong> A Jupyter notebook which uses the open-source DefDAP Python package (https://github.com/MechMicroMan/DefDAP) to open enclosed HRDIC, EBSD and image data for hydrides Zircaloy-4 deformed to ~3% strain, along the rolling direction. Please use the 'master' version of DefDAP: https://github.com/MechMicroMan/DefDAP/tree/51074e158b0131c69358ddf7eee319e41cf582ca <strong>Publication abstract:</strong> In service, zirconium alloys undergo aqueous corrosion and hydrogen is absorbed, which can lead to the formation of hydrides. Hydrides, as well as the precipitates in zirconium alloys, affect the mechanical performance, though their contribution to plasticity is not yet understood. This study uses a combination of high-resolution digital image correlation and electron backscatter diffraction to quantify the strain partitioning between the different phases. Following uniaxial tensile deformation, it was found that the average strain within the δ-ZrH and Zr(Fe,Cr)2 was lower than in the α-Zr. Shear bands in the α-Zr matrix were observed to interact with small and medium sized hydride in multiple ways, such as terminating at the interface, cracking and shear around the interface or causing plastic slip in the hydride. Large hydrides showed a particularly detrimental effect on deformation behaviour, with large strain localisations and cracking observed at interfaces, which are typically precursors to failure. In contrast, the Zr(Fe,Cr)2precipitates remained undeformed and forced the expected metal-matrix lattice rotation. The importance of these observations in context of fuel cladding integrity is discussed.
DOI: 10.5281/zenodo.8383311
title: Dataset for: The role of hydrides and precipitates on the strain localisation behaviour in a zirconium alloy

description: <strong>This is the dataset used in the following publication: </strong> R. Thomas, D. Lunt, M.D. Atkinson, J. Quinta da Fonseca, M. Preuss, P. Honniball, P. Frankel, The role of hydrides and precipitates on the strain localisation behaviour in a zirconium alloy, Acta Materialia, 2023, 119327, ISSN 1359-6454, https://doi.org/10.1016/j.actamat.2023.119327. <strong>Contained in this dataset are:</strong> A Jupyter notebook which uses the open-source DefDAP Python package (https://github.com/MechMicroMan/DefDAP) to open enclosed HRDIC, EBSD and image data for hydrides Zircaloy-4 deformed to ~3% strain, along the rolling direction. Please use the 'master' version of DefDAP: https://github.com/MechMicroMan/DefDAP/tree/51074e158b0131c69358ddf7eee319e41cf582ca <strong>Publication abstract:</strong> In service, zirconium alloys undergo aqueous corrosion and hydrogen is absorbed, which can lead to the formation of hydrides. Hydrides, as well as the precipitates in zirconium alloys, affect the mechanical performance, though their contribution to plasticity is not yet understood. This study uses a combination of high-resolution digital image correlation and electron backscatter diffraction to quantify the strain partitioning between the different phases. Following uniaxial tensile deformation, it was found that the average strain within the δ-ZrH and Zr(Fe,Cr)2 was lower than in the α-Zr. Shear bands in the α-Zr matrix were observed to interact with small and medium sized hydride in multiple ways, such as terminating at the interface, cracking and shear around the interface or causing plastic slip in the hydride. Large hydrides showed a particularly detrimental effect on deformation behaviour, with large strain localisations and cracking observed at interfaces, which are typically precursors to failure. In contrast, the Zr(Fe,Cr)2precipitates remained undeformed and forced the expected metal-matrix lattice rotation. The importance of these observations in context of fuel cladding integrity is discussed.
DOI: 10.4121/d903eb90-4849-414c-94e8-9f8862733aaf.v1
title: Data underlying the pending publication: Quantitative proteomics reveals oxygen-induced adaptations in Caldalkalibacillus thermarum TA2.A1 microaerobic chemostat cultures

description: This entry contains the necessary information to access the data of the manuscript that is submitted to Environmental Microbiology: "Quantitative proteomics reveals oxygen-induced adaptations in Caldalkalibacillus thermarum TA2.A1 microaerobic chemostat cultures"By Samuel Ilan de Jong at Delft University of TechnologySupervisors: Mark van Loosdrecht & Duncan McMillanDepartment of Biotechnology, Section of Environmental MicrobiologyWhen using this data, please cite this paper
DOI: 10.6084/m9.figshare.24204936
title: Focus group discussions with people living with atrial fibrillation in Brazil

description: English transcripts of three focus group discussions conducted in Sao Paulo Brazil with people diagnosed with atrial fibrillation.
DOI: 10.25345/c56w96k96
title: MassIVE MSV000092978 - Overcoming therapeutic resistance in GBM
title: To reveal specific mechanisms of drug resistance about bevacizumab treatment in GBM patients who have prolonged disease free survival (DFS), but retained overall survival (OV), we established systemic drug-resistance murine GBM model in the context of tumor evolutionary with time series brain tissue collection. And to trace the change of specific functional molecules along the bevacizumab resistance, we performed LC-MS/MS-based global, phospho-proteomic analysis and NGS-based transcriptomic analysis using the time series murine GBM model.
DOI: 10.6073/pasta/bd69ca2e1edf6a40fa1617081c95c9d9
title: Invasive rodent responses to experimental and natural hurricanes with implications for global climate change

description: Find these data here: https://doi.org/10.5061/dryad.r7sqv9sfz Hurricanes cause dramatic changes to forests by opening the canopy and depositing debris onto the forest floor. How invasive rodent populations respond to hurricanes is not well understood, but shifts in rodent abundance and foraging may result from scarce fruit and seed resources that follow hurricanes. We conducted studies in a wet tropical forest in Puerto Rico to better understand how experimental (Canopy Trimming Experiment) and natural (Hurricane Maria) hurricane effects alter populations of invasive rodents (Rattus rattus [rats] and Mus musculus [mice]) and their foraging behaviors. To monitor rodent populations, we used tracking tunnels (inked and baited cards inside tunnels enabling identification of animal visitors’ footprints) within experimental hurricane plots (arborist trimmed in 2014) and reference plots (closed canopy forest). To assess shifts in rodent foraging, we compared seed removal of two tree species (Guarea guidonia and Prestoea acuminata) between vertebrate-excluded and free-access treatments in the same experimental and reference plots, and did so 3 months before and 9 months after Hurricane Maria (2017). Trail cameras were used to identify animals responsible for seed removal. Rat incidences generated from tracking tunnel surveys indicated that rat populations were not significantly affected by experimental or natural hurricanes. Before Hurricane Maria there were no mice in the forest interior, yet mice were present in forest plots closest to the road after the hurricane, and their forest invasion coincided with increased grass cover resulting from open forest canopy. Seed removal of Guarea and Prestoea across all plots was rat dominated (75%-100% rat-removed) and was significantly less after than before Hurricane Maria. However, following Hurricane Maria, the experimental hurricane treatment plots of 2014 had 3.6 times greater seed removal by invasive rats than did the reference plots, which may have resulted from rats selecting post-hurricane forest patches with greater understory cover for foraging. Invasive rodents are resistant to hurricane disturbance in this forest. Predictions of increased hurricane frequency from expected climate change should result in forest with more frequent periods of grassy understories and mouse presence, as well as with heightened rat foraging for fruit and seed in pre-existing areas of disturbance. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.57745/eznk1s
title: dsRNA-P5-5.fa

description: :unav
DOI: 10.57745/bi9acf
title: VANA-P60.fa

description: :unav
DOI: 10.57745/j2enbw
title: VANA-P5-8.fa

description: :unav
DOI: 10.57745/oil0wk
title: VANA-P20-3.fa

description: :unav
DOI: 10.57745/xwtqqx
title: VANA-P5-3.fa

description: :unav
DOI: 10.57745/brt7tx
title: VANA-P20-1.fa

description: :unav
DOI: 10.57745/qo1uha
title: VANA-P5-1.fa

description: :unav
DOI: 10.57745/qzjycb
title: VANA-P5-4.fa

description: :unav
DOI: 10.57745/xbiv2m
title: VANA-P20-2.fa

description: :unav
DOI: 10.57745/bdusuh
title: dsRNA-P10-2.fa

description: :unav
DOI: 10.57745/2hu03z
title: dsRNA-P5-9.fa

description: :unav
DOI: 10.57745/0btvtd
title: dsRNA-P20-3.fa

description: :unav
DOI: 10.57745/amhlqg
title: dsRNA-P5-12.fa

description: :unav
DOI: 10.57745/aspl23
title: VANA-P10-5.fa

description: :unav
DOI: 10.57745/ebv4vn
title: dsRNA-P5-8.fa

description: :unav
DOI: 10.57745/vmjyhl
title: Control-1.fa

description: :unav
DOI: 10.57745/h2gvu4
title: dsRNA-P5-2.fa

description: :unav
DOI: 10.57745/sculch
title: VANA-P5-6.fa

description: :unav
DOI: 10.57745/2hkuoi
title: VANA-P10-2.fa

description: :unav
DOI: 10.57745/hv0do0
title: dsRNA-P5-6.fa

description: :unav
DOI: 10.57745/l1bqo6
title: VANA-P5-9.fa

description: :unav
DOI: 10.57745/qxbpbo
title: dsRNA-P60.fa

description: :unav
DOI: 10.57745/40yizf
title: VANA-P5-12.fa

description: :unav
DOI: 10.57745/ud85dq
title: dsRNA-P5-1.fa

description: :unav
DOI: 10.57745/8kqij7
title: VANA-P5-10.fa

description: :unav
DOI: 10.57745/glhdrq
title: dsRNA-P5-3.fa

description: :unav
DOI: 10.57745/lzwgxa
title: Control-3.fa

description: :unav
DOI: 10.57745/ouoles
title: Control-2.fa

description: :unav
DOI: 10.57745/jukqwc
title: dsRNA-P5-11.fa

description: :unav
DOI: 10.57745/tzsiqv
title: VANA-P5-2.fa

description: :unav
DOI: 10.57745/vmt21j
title: VANA-P10-1.fa

description: :unav
DOI: 10.57745/6vhdgo
title: dsRNA-P20-1.fa

description: :unav
DOI: 10.57745/kzisy1
title: dsRNA-P10-1.fa

description: :unav
DOI: 10.57745/mlxqra
title: VANA-P10-3.fa

description: :unav
DOI: 10.57745/ddrn86
title: dsRNA-P5-4.fa

description: :unav
DOI: 10.57745/nht7i5
title: dsRNA-P20-2.fa

description: :unav
DOI: 10.57745/4efdpg
title: VANA-P5-5.fa

description: :unav
DOI: 10.57745/mjsqdm
title: VANA-P5-7.fa

description: :unav
DOI: 10.57745/5eylnv
title: dsRNA-P5-7.fa

description: :unav
DOI: 10.57745/o7p37f
title: VANA-P10-4.fa

description: :unav
DOI: 10.57745/uwdaq8
title: dsRNA-P10-3.fa

description: :unav
DOI: 10.57745/s0bsvq
title: dsRNA-P10-6.fa

description: :unav
DOI: 10.57745/hafuhc
title: VANA-P5-11.fa

description: :unav
DOI: 10.57745/nle6h2
title: VANA-P10-6.fa

description: :unav
DOI: 10.57745/shfuly
title: dsRNA-P10-4.fa

description: :unav
DOI: 10.57745/igy5oz
title: dsRNA-P10-5.fa

description: :unav
DOI: 10.57745/jtrqyn
title: dsRNA-P5-10.fa

description: :unav
DOI: 10.34740/kaggle/dsv/6555017
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.8128427
title: Data set for "Electrical detection of the flat band dispersion in van der Waals field-effect structures"

description: Data set for "Electrical detection of the flat band dispersion in van der Waals field-effect structures" paper published in doi:10.1038/s41565-023-01489-x
DOI: 10.5281/zenodo.8128426
title: Data set for "Electrical detection of the flat band dispersion in van der Waals field-effect structures"

description: Data set for "Electrical detection of the flat band dispersion in van der Waals field-effect structures" paper published in doi:10.1038/s41565-023-01489-x
DOI: 10.17864/1947.000498
title: Trash screen blockage detection using cameras and deep learning: code and dataset

description: This dataset provides access to the images and network weights produced during our research on trash screen detection, along with minimum working examples allowing to use the network weights on new trash screen camera images. The images come from 54 different cameras with open access feeds provided by the Environment Agency (http://eadevonwebcams.org.uk/), and were collected from January 2022 to January 2023. The images were manually annotated with a "clear" (if the trash screen looks clear), "blocked" (if the trash screen looks blocked) or "other" (if unsure) label. The network weights and minimum working examples allow to estimate labels of new trash screen images using three different methods: a classifier, a siamese network and an anomaly detection method.
DOI: 10.6073/pasta/f17606e9e21a4b8443d4938a64a89b6d
title: Northeastern Puerto Rico open-canopy and under-canopy temperature and moisture data on an elevational gradient

description: The data archive is here:https://doi.org/10.2737/RDS-2022-0051 please use this DOI when citing this dataset. This data publication contains monthly means of temperature and moisture data collected from August 2006 through September 2021 from 22 locations along an elevational gradient, from 0 to 1045 meters, in Northeastern Puerto Rico. The higher elevational data are in the Luquillo Experimental Forest (El Yunque National Forest). Five kinds of data are included: air temperature and precipitation measured in the open (not under canopy) at 20 locations, air temperature and soil temperature both measured under the canopy at all 22 locations, and soil moisture under the canopy at 4 locations. Two locations have 3 sites each, measured in different canopy types at the same location. The other 20 locations have one site each, making a total of 26 measurement sites. Data are provided as monthly averages at each site. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.5281/zenodo.8116556
title: Supporting data for "Software pipelines for RNA-Seq, ChIP-Seq and Germline Variant calling analyses in Common Workflow Language (CWL)"

description: Datasets produced during the validation of CWL-based pipelines, designed for the analysis of data from RNA-Seq, ChIP-Seq and germline variant calling experiments. Specifically, the workflows were tested using publicly available High-throughput (HTS) data from published studies on Chronic Lymphocytic Leukemia (CLL) (accession numbers: E-MTAB-6962, GSE115772) and Genome in a Bottle (GIAB) project samples (accession numbers: SRR6794144, SRR22476789, SRR22476790, SRR22476791). The supporting data include: Differential transcript and gene expression results produced during the analysis with the CWL-based RNA-Seq pipeline Bigwig and narrowPeak files, differential binding results, table of consensus peaks and read counts of EZH2 and H3K27me3, produced during the analysis with the CWL-based ChIP-Seq pipeline VCF files containing the detected and filtered variants, along with the respective hap.py () results regarding comparisons against the GIAB golden standard truth sets for both CWL-based germline variant calling pipelines
DOI: 10.5281/zenodo.8116555
title: Supporting data for "Software pipelines for RNA-Seq, ChIP-Seq and Germline Variant calling analyses in Common Workflow Language (CWL)"

description: Datasets produced during the validation of CWL-based pipelines, designed for the analysis of data from RNA-Seq, ChIP-Seq and germline variant calling experiments. Specifically, the workflows were tested using publicly available High-throughput (HTS) data from published studies on Chronic Lymphocytic Leukemia (CLL) (accession numbers: E-MTAB-6962, GSE115772) and Genome in a Bottle (GIAB) project samples (accession numbers: SRR6794144, SRR22476789, SRR22476790, SRR22476791). The supporting data include: Differential transcript and gene expression results produced during the analysis with the CWL-based RNA-Seq pipeline Bigwig and narrowPeak files, differential binding results, table of consensus peaks and read counts of EZH2 and H3K27me3, produced during the analysis with the CWL-based ChIP-Seq pipeline VCF files containing the detected and filtered variants, along with the respective hap.py () results regarding comparisons against the GIAB golden standard truth sets for both CWL-based germline variant calling pipelines
DOI: 10.5281/zenodo.8383276
title: Supporting data for "Software pipelines for RNA-Seq, ChIP-Seq and Germline Variant calling analyses in Common Workflow Language (CWL)"

description: Datasets produced during the validation of CWL-based pipelines, designed for the analysis of data from RNA-Seq, ChIP-Seq and germline variant calling experiments. Specifically, the workflows were tested using publicly available High-throughput (HTS) data from published studies on Chronic Lymphocytic Leukemia (CLL) (accession numbers: E-MTAB-6962, GSE115772) and Genome in a Bottle (GIAB) project samples (accession numbers: SRR6794144, SRR22476789, SRR22476790, SRR22476791). The supporting data include: Differential transcript and gene expression results produced during the analysis with the CWL-based RNA-Seq pipeline Bigwig and narrowPeak files, differential binding results, table of consensus peaks and read counts of EZH2 and H3K27me3, produced during the analysis with the CWL-based ChIP-Seq pipeline VCF files containing the detected and filtered variants, along with the respective hap.py () results regarding comparisons against the GIAB golden standard truth sets for both CWL-based germline variant calling pipelines
DOI: 10.5281/zenodo.8176202
title: Structural, electronic and mechanical properties of double core carbon nanothreads (Supplemental Files)

description: The structures shown here are examples of the double core nanothreads studied in the article entitled “Structural, electronic and mechanical properties of double core carbon nanothreads” published on Carbon (https://doi.org/10.1016/j.carbon.2023.118387) and authored by Caio M. Miliante, J. P. Dotto de Matos and André R. Muniz. These structures are shared with the ".cif" file format generated from the VESTA program (https://jp-minerals.org/vesta/en), which can also be used to visualize them.