cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3323257
title: Binary black-hole simulation SXS:BBH:0752

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325309
title: Binary black-hole simulation SXS:BBH:0782

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325320
title: Binary black-hole simulation SXS:BBH:0828

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325333
title: Binary black-hole simulation SXS:BBH:0923

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325344
title: Binary black-hole simulation SXS:BBH:0694

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325355
title: Binary black-hole simulation SXS:BBH:0642

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325368
title: Binary black-hole simulation SXS:BBH:0786

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.25387/g3.8287847
title: Supplemental Material for Falker-Gieske et al., 2019

description: Supplementary Table 1 contains the coefficients of determination (R²) for each variant on QTL harboring chromosomes where calculation was possible. Supplementary Table 2 containts the complete list of clusters identified in the GWAS with additional supporting information for cluster assignment. GRMs from F2 60k genotypes (File_S1.zip) were created by a "leave one chromsome out" approach using the program "Genome-wide Complex Trait Analysis (GCTA) version 1.91.4 beta3".GWAS was conducted with imputed sequence level F2 genotypes (Supplementary File_S2.zip) for each chromosome using the GRM where the respective chromosome was left out(GRM command: gcta64 --bfile SG_F2_chip_wo_chrNO --autosome --maf 0.01 --make-grm --out SG_F2_chip_wo_chrNO --thread-num 10 --autosome-num 18 ; GWAS command: gcta64 --mlma --covar Kiel_Hoh_cross.covar --bfile F2_beagle4.0_ped_ChrNO --grm SG_F2_chip_wo_chrNO --pheno TRAIT.pheno --out TRAIT_chrNO --maf 0.01 --thread-num 10; replace NO with the respective chromosome number and TRAIT with the respective trait to be analyzed) Phenotype files located in Supplementary File_S2.zip for the traits ADG, BFT, MFR, and CRCL were used in the GWAS. Crosses were used as covariates in the GWAS and provided as a gcta compatible covar file in Supplemental File_S4.zip. SNP locations can be found in the bim files of the genotype data (Supplementary File_S1.zip and Supplementary File_S2.zip). Population structure information is provided in form of a Beagle 4.0 compatible pedigree file (Supplementary File_S3.zip). Raw sequencing data will be made publicly available in the NCBI Sequence Read Archive (SRA). File_S5 contains the 60k chip genotype data in variant call file (VCF) format. Genomic positions have been lifted to genome assembly Sus scrofa 11.1 (GCA_000003025.6) and annotated with dbSNP build 150. gcta compatible covar files for the conditional association analyses with top variants are provided in File_S6.
DOI: 10.25387/g3.8287847.v1
title: Supplemental Material for Falker-Gieske et al., 2019

description: Supplementary Table 1 contains the coefficients of determination (R²) for each variant on QTL harboring chromosomes where calculation was possible. Supplementary Table 2 containts the complete list of clusters identified in the GWAS with additional supporting information for cluster assignment. GRMs from F2 60k genotypes (File_S1.zip) were created by a "leave one chromsome out" approach using the program "Genome-wide Complex Trait Analysis (GCTA) version 1.91.4 beta3".GWAS was conducted with imputed sequence level F2 genotypes (Supplementary File_S2.zip) for each chromosome using the GRM where the respective chromosome was left out(GRM command: gcta64 --bfile SG_F2_chip_wo_chrNO --autosome --maf 0.01 --make-grm --out SG_F2_chip_wo_chrNO --thread-num 10 --autosome-num 18 ; GWAS command: gcta64 --mlma --covar Kiel_Hoh_cross.covar --bfile F2_beagle4.0_ped_ChrNO --grm SG_F2_chip_wo_chrNO --pheno TRAIT.pheno --out TRAIT_chrNO --maf 0.01 --thread-num 10; replace NO with the respective chromosome number and TRAIT with the respective trait to be analyzed) Phenotype files located in Supplementary File_S2.zip for the traits ADG, BFT, MFR, and CRCL were used in the GWAS. Crosses were used as covariates in the GWAS and provided as a gcta compatible covar file in Supplemental File_S4.zip. SNP locations can be found in the bim files of the genotype data (Supplementary File_S1.zip and Supplementary File_S2.zip). Population structure information is provided in form of a Beagle 4.0 compatible pedigree file (Supplementary File_S3.zip). Raw sequencing data will be made publicly available in the NCBI Sequence Read Archive (SRA). File_S5 contains the 60k chip genotype data in variant call file (VCF) format. Genomic positions have been lifted to genome assembly Sus scrofa 11.1 (GCA_000003025.6) and annotated with dbSNP build 150. gcta compatible covar files for the conditional association analyses with top variants are provided in File_S6.
DOI: 10.5281/zenodo.3323268
title: Binary black-hole simulation SXS:BBH:0805

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3323277
title: Binary black-hole simulation SXS:BBH:0702

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3323292
title: Binary black-hole simulation SXS:BBH:0949

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3323303
title: Binary black-hole simulation SXS:BBH:0815

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3323314
title: Binary black-hole simulation SXS:BBH:0954

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3323325
title: Binary black-hole simulation SXS:BBH:1002

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3323338
title: Binary black-hole simulation SXS:BBH:0769

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325379
title: Binary black-hole simulation SXS:BBH:0649

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325390
title: Binary black-hole simulation SXS:BBH:0727

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325401
title: Binary black-hole simulation SXS:BBH:1015

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325414
title: Binary black-hole simulation SXS:BBH:0648

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3323349
title: Binary black-hole simulation SXS:BBH:0644

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3323362
title: Binary black-hole simulation SXS:BBH:0719

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3323373
title: Binary black-hole simulation SXS:BBH:1031

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325427
title: Binary black-hole simulation SXS:BBH:0854

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325438
title: Binary black-hole simulation SXS:BBH:0707

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325451
title: Binary black-hole simulation SXS:BBH:0682

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325464
title: Binary black-hole simulation SXS:BBH:0968

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325475
title: Binary black-hole simulation SXS:BBH:1025

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325486
title: Binary black-hole simulation SXS:BBH:0956

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325497
title: Binary black-hole simulation SXS:BBH:0990

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5519/qd.uffn2qzw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.3271348
title: Human Kalirin/RAC1 GEF/GTPase Complex

description: We have cloned, expressed, purified and crystallised the first DH GEF domain of Kalirin (gene: KALRN) in complex with RAC1 (gene: RAC1) as part of a programme to explore a new way of targeting GTPases. Fragment screening and X-ray crystallography has identified binders within the orthosteric binding site. A nucleotide exchange assay has been developed and GEF activity established.
description: This document represents version 1 of the TEP datasheet and includes all updates on the project as of June 2019. For more information about TEPs and the TEP Programme, please visit https://thesgc.org/tep
DOI: 10.5281/zenodo.3325508
title: Binary black-hole simulation SXS:BBH:0880

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325521
title: Binary black-hole simulation SXS:BBH:0974

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325528
title: Binary black-hole simulation SXS:BBH:0705

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325539
title: Binary black-hole simulation SXS:BBH:0763

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15151/esrf-dc-186917546
title: Raw diffraction images for apo murine Fumarylacetoacetate Domain Containing Protein 1 (FAHD1)

description: FAH domain-containing protein 1 (FAHD1) is a mitochondrial protein displaying both acylpyruvate hydrolase (ApH) and oxaloacetate decarboxylase (ODx) activity. As mitochondrial ODx, FAHD1 acts antagonistically to pyruvate carboxylase, a key metabolic enzyme. Despite its importance for mitochondrial function, very little is known about the catalytic mechanisms underlying FAHD1 enzymatic activities, and the architecture of its ligated active site is currently ill defined. These data are for the mouse protein. The structural basis for the bi-functionally of the human protein, i.e., ODx and acylpyruvate hydrolase (ApH), was recently described. These data allow the comparison of both enzymes in terms of structure and functionality. Further, a monoclonal antibody could be produced that is able to recognize mouse FAHD1, but not the human form, whereas a polyclonal α-hFAHD1 (anti human FAHD1) antibody recognizes both proteins. Epitope mapping in combination with our deposited crystal structures revealed the associated amino acid sequence, different among the proteins.
DOI: 10.5061/dryad.95752p7/1
title: Dryad Item 10.5061/DRYAD.95752P7/1

description: (:tba)
DOI: 10.5061/dryad.95752p7/2
title: Dryad Item 10.5061/DRYAD.95752P7/2

description: (:tba)
DOI: 10.5061/dryad.95752p7/3
title: Dryad Item 10.5061/DRYAD.95752P7/3

description: (:tba)
DOI: 10.5061/dryad.95752p7/4
title: Dryad Item 10.5061/DRYAD.95752P7/4

description: (:tba)
DOI: 10.5061/dryad.95752p7/5
title: Dryad Item 10.5061/DRYAD.95752P7/5

description: (:tba)
DOI: 10.5281/zenodo.3325550
title: Binary black-hole simulation SXS:BBH:0918

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325563
title: Binary black-hole simulation SXS:BBH:0905

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325572
title: Binary black-hole simulation SXS:BBH:0688

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325580
title: Binary black-hole simulation SXS:BBH:0641

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325589
title: Binary black-hole simulation SXS:BBH:0645

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.17632/kyhnxcmzpw.1
title: Data for: Stratigraphy and Isotope Geochemistry of the pre-Sturtian Ugab Subgroup, Otavi Group, northwestern Namibia

description: Carbon and oxygen isotope data from carbonate samples collected from sections of the Ugab Subgroup.
DOI: 10.17632/yw57hyxdsz.1
title: Data for: Dose response analysis program (DREAP): a user-friendly program for the analyses of radiation-induced biological responses utilizing established deterministic models at cell population and organ scales.

description: DREAP stands for dose response analysis program, a user-friendly program for analysis of radiation-induced biological responses such as survival fraction, relative biological effectiveness, normal tissue complication probability, and tumor control probability. 1. DREAP_source_code.zip: including m-files 2. How to execute DREAP: explaining how to use and some requirements of the DREAP at first 3. sample_input.zip: sample input files 4. sample_output.zip: sample output files from the DREAP 5. Validation study data: results of validation study on accuracy and speed
DOI: 10.5281/zenodo.3325600
title: Binary black-hole simulation SXS:BBH:0932

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325613
title: Binary black-hole simulation SXS:BBH:0681

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325624
title: Binary black-hole simulation SXS:BBH:0839

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325636
title: Binary black-hole simulation SXS:BBH:0862

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325647
title: Binary black-hole simulation SXS:BBH:1069

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325658
title: Binary black-hole simulation SXS:BBH:0637

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.21227/2s2q-0q47
title: XuZhou HYSPEX Hyperspectral Dataset

description: The Xuzhou dataset was collected by an airborne HYSPEX hyperspectral camera over the Xuzhou peri-urban site in November 2014. This dataset consists of 500 × 260 pixels, with a very high spatial resolution of 0.73 m/pixel. The number of spectral bands used in the experiment was 436, after removing the noisy bands ranging from 415 nm to 2508 nm. The scene is peri-urban and is characterized by nine categories, including crops, vegetation, man-made structures, and coal fields. The pseudocolor composite image and the labeled categories are shown in Fig. 6. The very high spatial resolution and the complex mixed categories make this dataset a challenging dataset for classification.
DOI: 10.5281/zenodo.3325669
title: Binary black-hole simulation SXS:BBH:0680

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325682
title: Binary black-hole simulation SXS:BBH:0857

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325693
title: Binary black-hole simulation SXS:BBH:0848

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325704
title: Binary black-hole simulation SXS:BBH:0733

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325713
title: Binary black-hole simulation SXS:BBH:1057

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325724
title: Binary black-hole simulation SXS:BBH:0847

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3332725
title: Supplementary materials colexifications Europe

description: Supplementary materials accompanying submission on colexification patterns in Europe
DOI: 10.5281/zenodo.3332726
title: Supplementary materials colexifications Europe

description: Supplementary materials accompanying submission on colexification patterns in Europe
DOI: 10.21227/mqtf-rt82
title: XuZhou HYSPEX Hyperspectral Dataset

description: The Xuzhou dataset was collected by an airborne HYSPEX hyperspectral camera over the Xuzhou peri-urban site in November 2014. This dataset consists of 500 × 260 pixels, with a very high spatial resolution of 0.73 m/pixel. The number of spectral bands used in the experiment was 436, after removing the noisy bands ranging from 415 nm to 2508 nm. The scene is peri-urban and is characterized by nine categories, including crops, vegetation, man-made structures, and coal fields. The pseudocolor composite image and the labeled categories are shown in Fig. 6. The very high spatial resolution and the complex mixed categories make this dataset a challenging dataset for classification.
DOI: 10.5281/zenodo.3325731
title: Binary black-hole simulation SXS:BBH:0966

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325740
title: Binary black-hole simulation SXS:BBH:0765

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325751
title: Binary black-hole simulation SXS:BBH:0697

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325762
title: Binary black-hole simulation SXS:BBH:1010

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.17632/4jhjp5p8hd.1
title: Data for: The thermo-tectonic evolution of the southern Congo Craton margin as determined from apatite and muscovite thermochronology

description: The Southern Irumide Belt (SIB) of Zambia consists of predominantly Mesoproterozoic terranes that record a pervasive tectono-metamorphic overprint from collision between the Congo and Kalahari cratons in the final stages of Gondwana amalgamation. This study applies multi-method thermochronology to samples throughout southern Zambia to constrain the post-collisional, Phanerozoic thermo-tectonic evolution of the region. U–Pb apatite and 40Ar/39Ar muscovite data are used to constrain the cooling history of the region following Congo–Kalahari collision, and reveal ages of c. 550–450 Ma. Variations in the recorded cooling ages are interpreted to relate to localised post-tectonic magmatism and the proximity of analysed samples to the Congo–Kalahari suture. Apatite fission track data are used to constrain the low-temperature thermo-tectonic evolution of the region and identify mean central ages of c. 320–300, 210–200 and 120–110 Ma. Thermal modelling of these samples identifies a number of thermal events occurring in the region throughout the Phanerozoic. Carboniferous to Permian–Triassic heating is suggested to relate to the development of Karoo rift basins found throughout central Africa and constrain the timing of sedimentation in the basin. Permian to Jurassic cooling is identified in a number of samples, reflecting exhumation as a result of the Mauritanian–Variscan and Gondwanide orogenies. Subsequent cooling of the majority of samples occurs from the Cretaceous and persists until present, reflecting exhumation in response to larger scale rifting associated with the break-up of Gondwana. Each model reveals a later phase of enhanced cooling beginning at c. 30 Ma that, if not an artefact of modelling, corresponds to the development of the East African Rift System. The obtained thermochronological data elucidate the previously unconstrained thermal evolution of the SIB, and provides a refined regional framework for constraining the tectonic history of central Africa throughout the Phanerozoic.
DOI: 10.5281/zenodo.3325775
title: Binary black-hole simulation SXS:BBH:0865

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325786
title: Binary black-hole simulation SXS:BBH:1082

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325791
title: Binary black-hole simulation SXS:BBH:0686

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325802
title: Binary black-hole simulation SXS:BBH:0920

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.17632/xgkg6tns73.1
title: Data for: Characteristics of earthquake clusters: application to western Corinth Gulf (Greece)

description: Catalogs of earthquake clusters
DOI: 10.5281/zenodo.3325815
title: Binary black-hole simulation SXS:BBH:0723

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325826
title: Binary black-hole simulation SXS:BBH:0749

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325839
title: Binary black-hole simulation SXS:BBH:0744

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325850
title: Binary black-hole simulation SXS:BBH:1026

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325863
title: Binary black-hole simulation SXS:BBH:0972

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5061/dryad.79v0d8r/1
title: Full dataset of habitat, diet, and foraging behaviour traits used for computation of specialization of Australian passerines.

description: Traits for 308 species of Australian passerines include type of habitat, diet, foraging method, foraging stratum, and foraging substrate. Each trait is divided into several categories and each category of each trait has a value corresponding to proportional use (percentage) of that category by a given species based on information in HANZAB. The sum of all categories of a given trait for a given species is always 100.
DOI: 10.5281/zenodo.3325878
title: Binary black-hole simulation SXS:BBH:1044

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325893
title: Binary black-hole simulation SXS:BBH:1072

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325904
title: Binary black-hole simulation SXS:BBH:0899

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325915
title: Binary black-hole simulation SXS:BBH:0797

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325924
title: Binary black-hole simulation SXS:BBH:0874

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325935
title: Binary black-hole simulation SXS:BBH:0663

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325948
title: Binary black-hole simulation SXS:BBH:1046

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3325959
title: Binary black-hole simulation SXS:BBH:0931

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.24378/exe.1603
title: Evolution of Aligned States Within Nonlinear Dynamos (dataset)

description: The Archontis dynamo is a rare example of an MHD dynamo within which forcing drives a dynamo where the flow and magnetic fields are almost perfectly aligned and the energies are approximately equal. In this paper, I expand upon our knowledge of the dynamo by showing that the intermediate steady states of the kinetic and magnetic energies observed by Cameron and Galloway are not a necessary feature of aligned dynamos. Furthermore, I show that the steady state into which the flow and magnetic fields eventually evolve is remarkably robust to the addition of time dependence and asymmetry to the forcing.
description: The article associated with this dataset is located in ORE at: http://hdl.handle.net/10871/37966