cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1212829
title: Binary black-hole simulation SXS:BBH:0062

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212833
title: Binary black-hole simulation SXS:BBH:0063

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212844
title: Binary black-hole simulation SXS:BBH:0065

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.7910/dvn/epbymm
title: Replication Data for: Diversity and importance of local fodder tree and shrub resources in mixed farming systems of central Kenya

description: This dataset was moved to: https://doi.org/10.34725/DVN/EPBYMMThese are data files and documentation for data used in the analysis and developing tables presented in this article.
DOI: 10.7910/dvn/jjwsiq
title: Production data of camu camu production in 15 communities in Ucayali

description: This dataset was moved to: https://doi.org/10.34725/DVN/JJWSIQData in Spanish on camu camu production in 15 communities in Ucayali, Peru.
DOI: 10.7910/dvn/yizxxc
title: Valuation of environmental services in Ucayali, Peru

description: This dataset was moved to: https://doi.org/10.34725/DVN/YIZXXCDataset in Spanish of the valuation of ecological services (water quality, soil quality, biodiversity, food) by provided by different land uses (agroforestry, forests, monoculture) from focus groups meetings with smallholders in the province of Padre Abad, Ucayli
DOI: 10.5281/zenodo.1212715
title: Binary black-hole simulation SXS:BBH:0032

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212737
title: Binary black-hole simulation SXS:BBH:0035

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212743
title: Binary black-hole simulation SXS:BBH:0037

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212761
title: Binary black-hole simulation SXS:BBH:0042

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212827
title: Binary black-hole simulation SXS:BBH:0061

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212837
title: Binary black-hole simulation SXS:BBH:0064

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.7910/dvn/ryuwly
title: Database

description: This dataset was moved to: https://doi.org/10.34725/DVN/RYUWLYThe Database.accdb contains the information collected during the sampling of 5 coverings and land uses, carried out on farms of 41 producers of cocoa of Irazola district in Padre Abad province in Peru
DOI: 10.5063/f1qv3jqr
title: MicroClimate from Climate Change Experiments

description: The Climate from Climate Change Experiments (C3E) database contains daily climate data (soil and air temperature, and soil moisture) from 12 active warming experiments.The data in this database were collected between 1991 and 2014 from North American and European climate change experiments. To be included in the database, studies had to either 1) include more than one level of warming, or 2) manipulate both temperature and precipitation. (Some studies met both of these criteria.)
DOI: 10.5066/f70c4v08
title: Landscape-scale wildlife species richness metrics

description: These raster data represent the results of a case study in Arizona on how vertebrate richness metrics can be used with existing state and federal guidance in wind and solar energy facility siting. Each of the four geodatabases (see Cross References) contain eight native terrestrial wildlife group models in Arizona: 1) all vertebrates, 2) amphibians, 3) reptiles, 4) birds, 5) mammals, 6) bats, 7) raptors and 8) long-distant migratory birds. An XML workbook is included that lists all terrestrial native vertebrate species in Arizona which cross-walks these species to the name of the GAP vertebrate distribution model. These data are associated with the journal manuscript: Thomas, K.A, Jarchow, C.J., Arundel, T.R., Jamwal, P., Borens, A. and Drost, C.A., 2018, Landscape-scale wildlife species richness metrics to inform wind and solar energy facility siting: An Arizona case study: Energy Policy (online), doi:10.1016/j.enpol.2018.01.052.
DOI: 10.5281/zenodo.1212810
title: Binary black-hole simulation SXS:BBH:0058

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212816
title: Binary black-hole simulation SXS:BBH:0059

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212944
title: Binary black-hole simulation SXS:BBH:0066

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213124
title: A molecular dynamics study of adenylyl cyclase: the impact of ATP and G-protein binding

description: Adenylyl cyclases (ACs) catalyze the biosynthesis of cyclic adenosine monophosphate (cAMP) from adenosine triphosphate (ATP) and play an important role in many signal transduction pathways. The enzymatic activity of ACs is carefully controlled by a variety of molecules, including G-protein subunits that can both stimulate and inhibit cAMP production. Using homology models developed from existing structural data, we have carried out all-atom, microsecond-scale molecular dynamics simulations on the AC5 isoform of adenylyl cyclase and on its complexes with ATP and with the stimulatory G-protein subunit Gsα. The results show that both ATP and Gsα binding have significant effects on the structure and flexibility of adenylyl cyclase. New data on ATP bound to AC5 in the absence of Gsα notably help to explain how Gsα binding enhances enzyme activity and could aid product release. Simulations also suggest a possible coupling between ATP binding and interactions with the inhibitory G-protein subunit Gαi. All-atom molecular dynamics simulations were performed with the GROMACS 5 package. The simulations were carried out in an NTP ensemble at a temperature of 310 K and a pressure of 1 bar using a Bussi velocity-rescaling thermostat (t<sub>T</sub> = 1 ps) and a Parrinello-Rahman barostat (t<sub>P</sub> = 1 ps). We provide the atomistic trajectories of the following 6 systems after 400 ns of equilibration: AC5 AC5+ATP AC5+Gsα AC5+ATP+Gsα AC5+FOK AC5+ATP+FOK In each trajectory, the frames are saved each 20 ps.
description: It is agreed that the data remain the property of CNRS.
DOI: 10.5281/zenodo.1213234
title: Binary black-hole simulation SXS:BBH:0067

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213236
title: Binary black-hole simulation SXS:BBH:0068

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213238
title: Binary black-hole simulation SXS:BBH:0069

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213244
title: Binary black-hole simulation SXS:BBH:0070

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213250
title: Binary black-hole simulation SXS:BBH:0071

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213256
title: Binary black-hole simulation SXS:BBH:0072

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213262
title: Binary black-hole simulation SXS:BBH:0075

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213274
title: Binary black-hole simulation SXS:BBH:0077

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213280
title: Binary black-hole simulation SXS:BBH:0078

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213284
title: Binary black-hole simulation SXS:BBH:0079

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213290
title: Binary black-hole simulation SXS:BBH:0080

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213297
title: Binary black-hole simulation SXS:BBH:0081

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213299
title: Binary black-hole simulation SXS:BBH:0082

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213301
title: Binary black-hole simulation SXS:BBH:0083

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213303
title: Binary black-hole simulation SXS:BBH:0084

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213313
title: Binary black-hole simulation SXS:BBH:0085

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213317
title: Binary black-hole simulation SXS:BBH:0086

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213323
title: Binary black-hole simulation SXS:BBH:0087

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213330
title: Binary black-hole simulation SXS:BBH:0088

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213332
title: Binary black-hole simulation SXS:BBH:0089

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213338
title: Binary black-hole simulation SXS:BBH:0090

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213343
title: Binary black-hole simulation SXS:BBH:0092

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213351
title: Binary black-hole simulation SXS:BBH:0093

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213357
title: Binary black-hole simulation SXS:BBH:0094

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213362
title: Binary black-hole simulation SXS:BBH:0095

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213365
title: Binary black-hole simulation SXS:BBH:0096

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213367
title: Binary black-hole simulation SXS:BBH:0097

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213369
title: Binary black-hole simulation SXS:BBH:0098

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213375
title: Binary black-hole simulation SXS:BBH:0099

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213381
title: Binary black-hole simulation SXS:BBH:0100

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213385
title: Binary black-hole simulation SXS:BBH:0101

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213387
title: Binary black-hole simulation SXS:BBH:0102

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213395
title: Binary black-hole simulation SXS:BBH:0104

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213397
title: Binary black-hole simulation SXS:BBH:0105

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213399
title: Binary black-hole simulation SXS:BBH:0106

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213404
title: Binary black-hole simulation SXS:BBH:0108

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213406
title: Binary black-hole simulation SXS:BBH:0109

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213408
title: Binary black-hole simulation SXS:BBH:0110

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213412
title: Binary black-hole simulation SXS:BBH:0111

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213414
title: Binary black-hole simulation SXS:BBH:0112

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213416
title: Binary black-hole simulation SXS:BBH:0113

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213418
title: Binary black-hole simulation SXS:BBH:0114

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213389
title: Binary black-hole simulation SXS:BBH:0103

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213401
title: Binary black-hole simulation SXS:BBH:0107

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213420
title: Binary black-hole simulation SXS:BBH:0115

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213422
title: Binary black-hole simulation SXS:BBH:0116

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213424
title: Binary black-hole simulation SXS:BBH:0117

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213426
title: Binary black-hole simulation SXS:BBH:0118

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213428
title: Binary black-hole simulation SXS:BBH:0119

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213430
title: Binary black-hole simulation SXS:BBH:0120

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213432
title: Binary black-hole simulation SXS:BBH:0121

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213434
title: Binary black-hole simulation SXS:BBH:0122

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213438
title: Binary black-hole simulation SXS:BBH:0124

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213440
title: Binary black-hole simulation SXS:BBH:0125

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213442
title: Binary black-hole simulation SXS:BBH:0126

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213444
title: Binary black-hole simulation SXS:BBH:0127

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213446
title: Binary black-hole simulation SXS:BBH:0128

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213452
title: Binary black-hole simulation SXS:BBH:0129

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213456
title: Binary black-hole simulation SXS:BBH:0131

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213466
title: Binary black-hole simulation SXS:BBH:0133

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213480
title: Binary black-hole simulation SXS:BBH:0137

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213484
title: Binary black-hole simulation SXS:BBH:0138

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.14469/hpc/4014
title: Imperial College Chemistry Wiki
DOI: 10.5281/zenodo.1213454
title: Binary black-hole simulation SXS:BBH:0130

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213460
title: Binary black-hole simulation SXS:BBH:0132

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213472
title: Binary black-hole simulation SXS:BBH:0134

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213474
title: Binary black-hole simulation SXS:BBH:0135

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213478
title: Binary black-hole simulation SXS:BBH:0136

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.7230390
title: GTnum Pléiades questionnaire

description: Questionnaire sur la classe virtuelle pendant le confinement diffusé dans le cadre de la recherche GTnum Pléiades financée par la Direction du numérique éducatif (Ministère de l'Education Nationale, France) pilotée par le laboratoire Circeft.
DOI: 10.7294/22227883.v1
title: Data Collection and Analysis Scripts for "Experimental Tracking of an Ultrasonic Source with Unknown Dynamics Using a Stereo Sensor".

description: Data Description: This data was collected using two Dodotronic Momimic microphones and a Teensy 4.0 development board. The raw data recorded are samples of incoming ultrasonic signals output by a modified senscomp ultrasonic transducer and the measured time between recorded samples. This data is used to create a measurement matrix of the estimated bearing of the ultrasonic source and the measured time between samples. These measurements are used in a linear minimum mean square error algorithm for estimating the distance of the ultrasonic source to the sensor, allowing tracking of the source. <br> Abstract of related Resource: Sound source localization (SSL) is the ability to successfully estimate the bearing and distance of a sound in space relative to the sensing position and pose. SSL as a topic of interest for engineers often revolves around the ability of robots to track other robots, human voices, or other acoustic objects. Common approaches to this goal frequently use large arrays, computationally intensive and complex machine learning methods, or require known dynamic models of a system which may not always be available. In this work we seek to experimentally verify a solution to SSL using a minimal amount of inexpensive equipment on a two microphone, i.e. stereo, sensing platform. A previously developed Bayesian estimator allows for localization of an emitter using easily available a priori information and timing data received from the sensor platform. Our results show that our approach is accurate for the tested paths and that the estimator can correct itself when dynamic assumptions are broken for short times due to hardware and software limitations.
DOI: 10.25345/c5cf9jh24
title: MassIVE MSV000091464 - Spontaneous aneurysm development after YAP and TAZ deletion
title: Inadequate adaption to mechanical forces, including an elevated blood pressure, contributes to the development of arterial aneurysms. Recent studies have pointed to a mechano-protective role of YAP and TAZ in vascular smooth muscle cells (SMCs). Here, we created vascular SMC-specific knockouts (KOs) of YAP and TAZ using integrin-alpha8-Cre mice (i8-YT-KO). I8-YT-KO mice spontaneously developed aneurysms in the abdominal aorta within two weeks of knockout induction. Loss of YAP expression was also observed in human aortic aneurysms. I8-YT-KO mice developed vascular lesions in other arteries at later times, but the gastrointestinal tract was spared. Aneurysms were characterized by elastin disarray, SMC apoptosis, and accumulation of proteoglycans and inflammatory cells, including macrophages and neutrophils. RNA-sequencing, proteomics, and myography demonstrated decreased contractile differentiation of SMCs and impaired vascular contractility. This associated with partial loss of vascular myocardin expression, reduced blood pressure, and edema. Mediators in the cGAS-STING pathway, which sparks inflammation in response to double-stranded DNA, were increased in aortic lysates. A sizeable increase of the transcription factor Sox9, along with several direct target genes, including aggrecan (Acan), contributed to proteoglycan accumulation. This was the earliest detectable change, occurring three days after knockout induction, and before the pro-inflammatory transition. In conclusion, Itga8-Cre deletion of YAP and TAZ represents a rapid and spontaneous aneurysm model that re-capitulates features of human abdominal aortic aneurysms.
DOI: 10.34740/kaggle/dsv/5141134
title: Georgia Crime by county 2019 - 2021
DOI: 10.17870/bathspa.13089785
title: Subverting the Sonnet: Poems - 300 word statement

description: <i>Subverting the Sonnet</i> is a selection of poems published individually in literary journals, newspapers, and literary magazines, which interrogate, stretch, and repeatedly subvert the sonnet form, whilst also honouring its poetic legacy.<br><br>This item contains the project's 300-word statement.
DOI: 10.17870/bathspa.13089785.v1
title: Subverting the Sonnet: Poems - 300 word statement

description: <i>Subverting the Sonnet</i> is a selection of poems published individually in literary journals, newspapers, and literary magazines, which interrogate, stretch, and repeatedly subvert the sonnet form, whilst also honouring its poetic legacy.<br><br>This item contains the project's 300-word statement.
DOI: 10.5281/zenodo.7692058
title: PDB files of "Characterization of ligand-induced thermal stability of the human organic cation transporter 2 (OCT2)"

description: The predicted alphafold structure of OCT2 (Uniprot O15244) was embedded in a DPPC model membrane, solvated with TIP3P water and subjected to 250 ns molecular dynamics simulation using the Desmond module of Schroedingers Drug Discovery Suite. The last 150 ns were used for clustering and the cluster with most of the members (cluster0) was selected as a model for OCT2. Based on that (still predicted, but optimised) model we performed docking with various substrates for which we also provide the obtained docking pose. See Publication in Frontiers in Pharmacology (DOI: 10.3389/fphar.2023.1154213) for details and results.
DOI: 10.5281/zenodo.7692057
title: PDB files of "Characterization of ligand-induced thermal stability of the human organic cation transporter 2 (OCT2)"

description: The predicted alphafold structure of OCT2 (Uniprot O15244) was embedded in a DPPC model membrane, solvated with TIP3P water and subjected to 250 ns molecular dynamics simulation using the Desmond module of Schroedingers Drug Discovery Suite. The last 150 ns were used for clustering and the cluster with most of the members (cluster0) was selected as a model for OCT2. Based on that (still predicted, but optimised) model we performed docking with various substrates for which we also provide the obtained docking pose. See Publication in Frontiers in Pharmacology (DOI: 10.3389/fphar.2023.1154213) for details and results.