cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14469/hpc/13305
title: TS 9-10a -773.725065 (IRC) Cp rotamer 2 TS G = -773.734655

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13307
title: TS 5 to 6, G = -773.718632, IRC Cp rotamer TS G = -773.730759 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13278
title: TS 9-12, IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13283
title: TS 9-12, RP for 2nd part. IRC phase(8,25)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13298
title: TS 9-12, 2nd part. TS, mirror invert -773.746342 ==&gt; cp rotamer ==&gt; TS G = -773.752169 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13302
title: TS 9-12, 2nd part. TS, mirror invert -773.746342 ==&gt; cp rotamer ==&gt; TS G = -773.752169 IRC =&gt; 12a G = -773.759426

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13303
title: TS 9-10a -773.725065 (IRC), Cp rotamer

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13304
title: TS 5 to 9, G = -773.718632, IRC Cp rotamer TS G = -773.730759

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12705
title: TS 5 to 9, G = -773.718632, =&gt; epi G =-773.727461 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13284
title: TS 6-9, Ph mig, Cp-rotamer, IRC product, mirror invert, Cp rotamer, -773.744763

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13286
title: TS 9-12, 2nd part. TS, mirror invert -773.746342

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13289
title: TS 9-12, TS, first part, G = -773.745275 ==&gt; 2nd part. G = -773.746342, mirror invert IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13290
title: TS 9-12, S,R, G = -773.734998 ==&gt; tight TS G = -773.73515

description: Gaussian 16 (C01) calculation
DOI: 10.15468/dl.t93dka
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Côte d’Ivoire",
 "TaxonKey is Irvingia gabonensis (Aubry-Lecomte ex O'Rorke) Baill."
 ]
}

 The dataset includes 95 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044109-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14469/hpc/12600
title: TS 6-9 =&gt; 9, G = -773.746366 (R,S)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12621
title: 10a: G = -773.772499 IRC ==&gt; G = -773.775704

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12623
title: 6: G = -773.731186 (H mig) G = -773.734700

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13281
title: TS 9-13, G = -773.732921 S,R, G = -773.734998

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13293
title: TS 9-12, TS, first part, G = -773.745275 ==&gt; 2nd part. G = -773.746342, IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13294
title: TS 9-12, 2nd part, cp rotamer ==&gt; TS G = -773.752169

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12597
title: 9: -773.737100 ==&gt; epimer (S,S) -773.745685

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12696
title: TS 5 to 9, G = -773.718632, =&gt; epi G =-773.727461

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12922
title: TS 11-13, G = -773.725632, IRC (smaller Gnorm)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13071
title: 14, G = -773.382846 ==&gt;&gt;Cp rotamer, G -773.384804

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13297
title: TS 6-9 =&gt; 9, G = -773.746366 (R,S) =&gt; RP to 12 ==&gt; TS, G = -773.752169

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12613
title: TS4; G = -773.714835 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12616
title: 8, G = -773.786322 ==&gt; Cp rotamer G = -773.782383

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12735
title: 6: (Ph) G ==&gt; -773.735537

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12774
title: 9b: G = -773.751962

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12917
title: TS 11-13, G = -773.725632, IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13277
title: TS 9-12, G = -773.732921

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12594
title: 5: -773.742314 ==&gt; G = -773.737503

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12626
title: TS 6 - 9a, G = -773.728780

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12694
title: TS 6-9, angle scan =&gt; TS G = -773.734038 , Ph mig, epimer G = -773.735197 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12695
title: TS 6 - 9a, G = -773.728780 epimer H-mig, G = -773.729494 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13279
title: TS 9-13, RP for 2nd part. TS

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.12783254
title: Optimising CNT-FET Biosensor Design through Modelling of Biomolecular Electrostatic Gating and its Application to beta-Lactamase Detection: Modelling data

description: The zip files contain the datasets presented in Figure 3, S5, S6, S7, S8 and S12 as well as various files associated with the modelling aspect of the project.
DOI: 10.5281/zenodo.12783255
title: Optimising CNT-FET Biosensor Design through Modelling of Biomolecular Electrostatic Gating and its Application to beta-Lactamase Detection: Modelling data

description: The zip files contain the datasets presented in Figure 3, S5, S6, S7, S8 and S12.
DOI: 10.5281/zenodo.13149548
title: Optimising CNT-FET Biosensor Design through Modelling of Biomolecular Electrostatic Gating and its Application to beta-Lactamase Detection: Modelling data

description: The zip files contain the datasets presented in Figure 3, S5, S6, S7, S8 and S12 as well as various files associated with the modelling aspect of the project.
DOI: 10.14469/hpc/12620
title: 8, G = -773.786322 (from IRC) ==G = -773.786317

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12915
title: 14, G = -773.382846

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13287
title: TS 6-9, Ph mig, Cp-rotamer, G = -773.735197 IRC mirror invert

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13299
title: TS 9-12b, cp rotamer ==&gt; G= -773.744633 Frozen ==&gt; TS G = -773.743498

description: Gaussian 16 (C01) calculation
DOI: 10.15468/dl.n32wpf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is New Zealand Biodiversity Recording Network",
 "HasGeospatialIssue is false",
 "Country is New Zealand",
 "Modified is 2024-06"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044110-240626123714530/datasets/export for details.
DOI: 10.14469/hpc/12596
title: 5: G =-773.742314 =&gt; Cp rotamer G = -773.737507

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12601
title: TS4; G = -773.696217, ==&gt; rotamer G = -773.714835

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12602
title: TS 6-9, angle scan =&gt; TS G = -773.734038

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12667
title: TS 6 - 9a, G = -773.728780 epimer G = -773.729494

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12907
title: TS 9b-10 -773.725183 ==&gt; Cp/Ph rotamer preparing for Ph migration, G = -773.725632

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13295
title: 9, G = -773.746366 (R,S) =&gt; Cp rotamer G = -773.745411

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12697
title: 5: -773.742314 =&gt; -773.743725 G = -773.743868 epi =&gt; -773.743291

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12910
title: 11: G = -773.756765 ==&gt; epimer G = -773.753780

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12914
title: TS 11-13, G = -773.749975

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13300
title: TS 9-12, cp rotamer ==&gt; G= -773.744633 ==&gt; rotamer2 G = -773.748375, π-complex RP to 12 = TS G = -773.749264

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13311
title: TS 9-10a -773.725065 (IRC) Cp rotamer 2 TS G = -773.734655 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12672
title: TS 6-8, G = -773.72922, epimer, Cp mig G = -773.727523

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12682
title: TS 6-9, angle scan =&gt; TS G = -773.734038 , Ph mig, epimer G = -773.735197

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12903
title: TS 6 - 9a, G = -773.728780 epimer H-mig, G = -773.729494 IRC ==&gt; 11 G = -773.756765

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12912
title: 11: G = -773.756765 ==&gt; epimer =&gt; rotamer, G = -773.756223

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13291
title: TS 9-12, TS, first part, G = -773.745275 ==&gt; 2nd part. G = -773.746342,

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13296
title: TS 9-12, cp rotamer ==&gt; G= -773.744633 ==&gt; rotamer2 G = -773.748375, π-complex

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/12599
title: 6: G = -773.733317, epimer collapsing to 9? G = -773.745969 (S,S)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14378
title: 11 epi Def2-SVP G = -773.752413

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.13149621
title: CLDF dataset derived from Bodt's "Lexical Cognates in Western Kho-Bwa" from 2019

description: Cite the source of the dataset as:




Bodt, Timotheus Adrianus and List, Johann-Mattis (2019): Testing the predictive strength of the comparative method: An ongoing experiment on unattested words in Western Kho-Bwa languages. Papers in Historical Phonology 4.1: 22-44.
DOI: 10.5281/zenodo.2632544
title: CLDF dataset derived from Bodt's "Lexical Cognates in Western Kho-Bwa" from 2019

description: Cite the source of the dataset as:




Bodt, Timotheus Adrianus and List, Johann-Mattis (2019): Testing the predictive strength of the comparative method: An ongoing experiment on unattested words in Western Kho-Bwa languages. Papers in Historical Phonology 4.1: 22-44.
DOI: 10.5281/zenodo.13149619
title: Binary black-hole simulation SXS:BBH:1722

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149620
title: Binary black-hole simulation SXS:BBH:1722

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149622
title: Binary black-hole simulation SXS:BBH:1737

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149623
title: Binary black-hole simulation SXS:BBH:1737

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149638
title: Binary black-hole simulation SXS:BBH:1793

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149639
title: Binary black-hole simulation SXS:BBH:1793

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.wkky9d
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clibadium alatum H.Rob.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044111-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26243276
title: Research on Control Methods for Automatic Drilling Robot Based on Visual Servoing

description: In the demolition blasting scene, a large number of humans are needed to drill the gun holes. Aiming at the problems of harsh blasting environment, high accuracy of drilling operation and large number of drilling holes, an automatic drilling robot is designed, and a visual servo drilling algorithm of cooperative manipulator with stable trajectory is proposed. This method is a control method based on visual feedback. The manipulator is calibrated by hand and eye, and the manipulator servo experiments of image-based visual servoing (IBVS) and position-based visual servoing (PBVS) are carried out based on Apriltag tag as the target object. In the experiment, three factors that may affect the robustness of visual servoing tasks, namely, different lighting conditions, different target object poses and hand-eye calibration, were tested in orthogonal experiments. The experimental results show that the robustness of the automatic drilling robot control method based on image visual servoing using point features is better than that of the position-based visual servoing control method. The visual error convergence curve, camera motion speed curve and camera motion trajectory of IBVS are better than those of PBVS, and the accuracy of visual error convergence can meet the drilling requirements of demolition.
DOI: 10.6084/m9.figshare.26243276.v3
title: Research on Control Methods for Automatic Drilling Robot Based on Visual Servoing

description: In the demolition blasting scene, a large number of humans are needed to drill the gun holes. Aiming at the problems of harsh blasting environment, high accuracy of drilling operation and large number of drilling holes, an automatic drilling robot is designed, and a visual servo drilling algorithm of cooperative manipulator with stable trajectory is proposed. This method is a control method based on visual feedback. The manipulator is calibrated by hand and eye, and the manipulator servo experiments of image-based visual servoing (IBVS) and position-based visual servoing (PBVS) are carried out based on Apriltag tag as the target object. In the experiment, three factors that may affect the robustness of visual servoing tasks, namely, different lighting conditions, different target object poses and hand-eye calibration, were tested in orthogonal experiments. The experimental results show that the robustness of the automatic drilling robot control method based on image visual servoing using point features is better than that of the position-based visual servoing control method. The visual error convergence curve, camera motion speed curve and camera motion trajectory of IBVS are better than those of PBVS, and the accuracy of visual error convergence can meet the drilling requirements of demolition.
DOI: 10.6084/m9.figshare.26243276.v2
title: Research on Control Methods for Automatic Drilling Robot Based on Visual Servoing

description: In the demolition blasting scene, a large number of humans are needed to drill the gun holes. Aiming at the problems of harsh blasting environment, high accuracy of drilling operation and large number of drilling holes, an automatic drilling robot is designed, and a visual servo drilling algorithm of cooperative manipulator with stable trajectory is proposed. This method is a control method based on visual feedback. The manipulator is calibrated by hand and eye, and the manipulator servo experiments of image-based visual servoing (IBVS) and position-based visual servoing (PBVS) are carried out based on Apriltag tag as the target object. In the experiment, three factors that may affect the robustness of visual servoing tasks, namely, different lighting conditions, different target object poses and hand-eye calibration, were tested in orthogonal experiments. The experimental results show that the robustness of the automatic drilling robot control method based on image visual servoing using point features is better than that of the position-based visual servoing control method. The visual error convergence curve, camera motion speed curve and camera motion trajectory of IBVS are better than those of PBVS, and the accuracy of visual error convergence can meet the drilling requirements of demolition.
DOI: 10.6084/m9.figshare.26043871.v9
title: Choroid Plexus Free-Water Correlates with Glymphatic function in Alzheimer's Disease

description: Here presents the dataset for the statistical analysis for the manuscript "Choroid Plexus Free-Water Correlates with Glymphatic function in Alzheimer Disease: The RJNB-D Study". The file "fwf_all_n216.xlsx" is the baseline dataset. The files "fwf_Ab_pos_133.xlsx" and "fwf_Ab_neg_83.xlsx" are beta-amyloid positive and negative subgroups, respectively. The file "M12_all_n76.xlsx" is the 12-month follow-up dataset. The files "M12_Ab_pos_n46.xlsx" and "M12_Ab_Neg_n30.xlsx" are beta-amyloid positive and negative subgroups, respectively.
DOI: 10.5281/zenodo.13149652
title: Binary black-hole simulation SXS:BBH:1780

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149653
title: Binary black-hole simulation SXS:BBH:1780

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.6092/unibo/amsacta/7802
title: Dataset of the paper "Structural behavior of stone cantilever stairs: strain monitoring under controlled loading and numerical modeling"

description: This dataset, developed as part of the Horizon 2020 HOLAHERIS project, contains data related to the strain monitoring under controlled loading and the numerical modeling of the cantilever staircase in the Museum of the City of New York. The experimental strain data recorded under human loads resulting from fiber-optic sensors installed in the intrados of a representative tread are collected herein. In addition, numerical strain data obtained by means of a 3D solid finite element model of the staircase, where each tread interacts with the adjacent ones through contact, are also collected here, together with the geometry and the mesh of the finite element model.
DOI: 10.6092/unibo/amsacta/7805
title: Urine proteome in canicross dogs before and after a competition

description: The dataset contains the data on urinary biochemical parameters and urinary proteins to investigate the effects of exercise during canicross competition on to determine whether exercise and stress associated with competition could still have a negative effect on renal function.
In particular, pH was affected by exercise and proteinuria also showed changes immediately after physical exercise with a return to baseline within 2 hours after the physical activity.
SDS-PAGE electrophoresis allowed the separation of the urinary proteins on the basis of their molecular mass allowing a qualitative and quantitative evaluation of the urinary proteome, which showed significant increase in urinary albumin and a decrease in uromodulin after exercise.
DOI: 10.15468/dl.una827
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clibadium grandifolium S.F.Blake)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 215 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044112-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13149168
title: CLDF dataset derived from Birchall et al.'s "A Combined Comparative and Phylogenetic Analysis of the Chapacuran Language Family" from 2016

description: Cite the source of the dataset as:




Birchall J, Dunn M, & Greenhill SJ. 2016. A Combined Comparative and Phylogenetic Analysis of the Chapacuran Language Family. International Journal of American Linguistics 82(3). 255–284.
DOI: 10.5281/zenodo.5115889
title: CLDF dataset derived from Birchall et al.'s "A Combined Comparative and Phylogenetic Analysis of the Chapacuran Language Family" from 2016

description: Cite the source of the dataset as: Birchall J, Dunn M, & Greenhill SJ. 2016. A Combined Comparative and Phylogenetic Analysis of the Chapacuran Language Family. International Journal of American Linguistics 82(3). 255–284.
DOI: 10.5281/zenodo.5119306
title: CLDF dataset derived from Birchall et al.'s "A Combined Comparative and Phylogenetic Analysis of the Chapacuran Language Family" from 2016

description: Cite the source of the dataset as: Birchall J, Dunn M, & Greenhill SJ. 2016. A Combined Comparative and Phylogenetic Analysis of the Chapacuran Language Family. International Journal of American Linguistics 82(3). 255–284.
DOI: 10.5281/zenodo.6538403
title: CLDF dataset derived from Birchall et al.'s "A Combined Comparative and Phylogenetic Analysis of the Chapacuran Language Family" from 2016

description: Cite the source of the dataset as: Birchall J, Dunn M, & Greenhill SJ. 2016. A Combined Comparative and Phylogenetic Analysis of the Chapacuran Language Family. International Journal of American Linguistics 82(3). 255–284.
DOI: 10.5281/zenodo.13149660
title: CLDF dataset derived from Birchall et al.'s "A Combined Comparative and Phylogenetic Analysis of the Chapacuran Language Family" from 2016

description: Cite the source of the dataset as:




Birchall J, Dunn M, & Greenhill SJ. 2016. A Combined Comparative and Phylogenetic Analysis of the Chapacuran Language Family. International Journal of American Linguistics 82(3). 255–284.
DOI: 10.5281/zenodo.5115888
title: CLDF dataset derived from Birchall et al.'s "A Combined Comparative and Phylogenetic Analysis of the Chapacuran Language Family" from 2016

description: Cite the source of the dataset as:




Birchall J, Dunn M, & Greenhill SJ. 2016. A Combined Comparative and Phylogenetic Analysis of the Chapacuran Language Family. International Journal of American Linguistics 82(3). 255–284.
DOI: 10.15468/dl.a7p97s
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Damnxanthodium calvum (Greenm.) Strother)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044113-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13149658
title: Binary black-hole simulation SXS:BBH:1857

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149659
title: Binary black-hole simulation SXS:BBH:1857

description: Simulation of a black-hole binary system evolved by the SpEC code.