cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13171530
title: Binary black-hole simulation SXS:BBH:0470

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171531
title: Binary black-hole simulation SXS:BBH:0470

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.26138/sxs:bbh:0327v2.0
title: Binary black-hole simulation SXS:BBH:0327
DOI: 10.26138/sxs:bbh:0503v2.0
title: Binary black-hole simulation SXS:BBH:0503
DOI: 10.26138/sxs:bbh:0396v2.0
title: Binary black-hole simulation SXS:BBH:0396
DOI: 10.26138/sxs:bbh:0547v2.0
title: Binary black-hole simulation SXS:BBH:0547
DOI: 10.26138/sxs:bbh:0539v2.0
title: Binary black-hole simulation SXS:BBH:0539
DOI: 10.26138/sxs:bbh:0449v2.0
title: Binary black-hole simulation SXS:BBH:0449
DOI: 10.26138/sxs:bbh:0452v2.0
title: Binary black-hole simulation SXS:BBH:0452
DOI: 10.26138/sxs:bbh:0369v2.0
title: Binary black-hole simulation SXS:BBH:0369
DOI: 10.26138/sxs:bbh:0354v2.0
title: Binary black-hole simulation SXS:BBH:0354
DOI: 10.26138/sxs:bbh:0479v2.0
title: Binary black-hole simulation SXS:BBH:0479
DOI: 10.26138/sxs:bbh:0414v2.0
title: Binary black-hole simulation SXS:BBH:0414
DOI: 10.26138/sxs:bbh:0426v2.0
title: Binary black-hole simulation SXS:BBH:0426
DOI: 10.26138/sxs:bbh:0325v2.0
title: Binary black-hole simulation SXS:BBH:0325
DOI: 10.26138/sxs:bbh:0501v2.0
title: Binary black-hole simulation SXS:BBH:0501
DOI: 10.26138/sxs:bbh:0398v2.0
title: Binary black-hole simulation SXS:BBH:0398
DOI: 10.26138/sxs:bbh:0581v2.0
title: Binary black-hole simulation SXS:BBH:0581
DOI: 10.26138/sxs:bbh:0598v2.0
title: Binary black-hole simulation SXS:BBH:0598
DOI: 10.26138/sxs:bbh:0604v2.0
title: Binary black-hole simulation SXS:BBH:0604
DOI: 10.15468/dl.vuwpmr
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Zostera japonica Asch. & Graebn."
 ]
}

 The dataset includes 244 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045747-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26138/sxs:bbh:0509v2.0
title: Binary black-hole simulation SXS:BBH:0509
DOI: 10.26138/sxs:bbh:0575v2.0
title: Binary black-hole simulation SXS:BBH:0575
DOI: 10.26138/sxs:bbh:0447v2.0
title: Binary black-hole simulation SXS:BBH:0447
DOI: 10.26138/sxs:bbh:0454v2.0
title: Binary black-hole simulation SXS:BBH:0454
DOI: 10.26138/sxs:bbh:0362v2.0
title: Binary black-hole simulation SXS:BBH:0362
DOI: 10.26138/sxs:bbh:0367v2.0
title: Binary black-hole simulation SXS:BBH:0367
DOI: 10.26138/sxs:bbh:0356v2.0
title: Binary black-hole simulation SXS:BBH:0356
DOI: 10.26138/sxs:bbh:0545v2.0
title: Binary black-hole simulation SXS:BBH:0545
DOI: 10.5281/zenodo.13171538
title: Binary black-hole simulation SXS:BBH:0388

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171539
title: Binary black-hole simulation SXS:BBH:0388

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.26138/sxs:bbh:0541v2.0
title: Binary black-hole simulation SXS:BBH:0541
DOI: 10.26138/sxs:bbh:0337v2.0
title: Binary black-hole simulation SXS:BBH:0337
DOI: 10.15468/dl.vqc58w
title: Occurrence Download

description: A dataset containing 11176 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bunias erucago L."
 ]
}

 The dataset includes 11176 records from 367 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045746-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26138/sxs:bbh:0495v2.0
title: Binary black-hole simulation SXS:BBH:0495
DOI: 10.26138/sxs:bbh:0385v2.0
title: Binary black-hole simulation SXS:BBH:0385
DOI: 10.26138/sxs:bbh:0478v2.0
title: Binary black-hole simulation SXS:BBH:0478
DOI: 10.26138/sxs:bbh:0343v2.0
title: Binary black-hole simulation SXS:BBH:0343
DOI: 10.26138/sxs:bbh:0473v2.0
title: Binary black-hole simulation SXS:BBH:0473
DOI: 10.26138/sxs:bbh:0401v2.0
title: Binary black-hole simulation SXS:BBH:0401
DOI: 10.26138/sxs:bbh:0432v2.0
title: Binary black-hole simulation SXS:BBH:0432
DOI: 10.26138/sxs:bbh:0522v2.0
title: Binary black-hole simulation SXS:BBH:0522
DOI: 10.26138/sxs:bbh:0562v2.0
title: Binary black-hole simulation SXS:BBH:0562
DOI: 10.26138/sxs:bbh:0586v2.0
title: Binary black-hole simulation SXS:BBH:0586
DOI: 10.26138/sxs:bbh:0378v2.0
title: Binary black-hole simulation SXS:BBH:0378
DOI: 10.26138/sxs:bbh:0345v2.0
title: Binary black-hole simulation SXS:BBH:0345
DOI: 10.26138/sxs:bbh:0442v2.0
title: Binary black-hole simulation SXS:BBH:0442
DOI: 10.26138/sxs:bbh:0462v2.0
title: Binary black-hole simulation SXS:BBH:0462
DOI: 10.26138/sxs:bbh:0554v2.0
title: Binary black-hole simulation SXS:BBH:0554
DOI: 10.26138/sxs:bbh:0530v2.0
title: Binary black-hole simulation SXS:BBH:0530
DOI: 10.26138/sxs:bbh:0560v2.0
title: Binary black-hole simulation SXS:BBH:0560
DOI: 10.26138/sxs:bbh:0527v2.0
title: Binary black-hole simulation SXS:BBH:0527
DOI: 10.26138/sxs:bbh:0557v2.0
title: Binary black-hole simulation SXS:BBH:0557
DOI: 10.26138/sxs:bbh:0533v2.0
title: Binary black-hole simulation SXS:BBH:0533
DOI: 10.26138/sxs:bbh:0350v2.0
title: Binary black-hole simulation SXS:BBH:0350
DOI: 10.26138/sxs:bbh:0373v2.0
title: Binary black-hole simulation SXS:BBH:0373
DOI: 10.26138/sxs:bbh:0466v2.0
title: Binary black-hole simulation SXS:BBH:0466
DOI: 10.5281/zenodo.13171546
title: Binary black-hole simulation SXS:BBH:0334

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171547
title: Binary black-hole simulation SXS:BBH:0334

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.26138/sxs:bbh:0438v2.0
title: Binary black-hole simulation SXS:BBH:0438
DOI: 10.26138/sxs:bbh:0569v2.0
title: Binary black-hole simulation SXS:BBH:0569
DOI: 10.26138/sxs:bbh:0515v2.0
title: Binary black-hole simulation SXS:BBH:0515
DOI: 10.26138/sxs:bbh:0585v2.0
title: Binary black-hole simulation SXS:BBH:0585
DOI: 10.26138/sxs:bbh:0436v2.0
title: Binary black-hole simulation SXS:BBH:0436
DOI: 10.26138/sxs:bbh:0384v2.0
title: Binary black-hole simulation SXS:BBH:0384
DOI: 10.26138/sxs:bbh:0338v2.0
title: Binary black-hole simulation SXS:BBH:0338
DOI: 10.26138/sxs:bbh:0431v2.0
title: Binary black-hole simulation SXS:BBH:0431
DOI: 10.26138/sxs:bbh:0408v2.0
title: Binary black-hole simulation SXS:BBH:0408
DOI: 10.26138/sxs:bbh:0474v2.0
title: Binary black-hole simulation SXS:BBH:0474
DOI: 10.26138/sxs:bbh:0390v2.0
title: Binary black-hole simulation SXS:BBH:0390
DOI: 10.26138/sxs:bbh:0536v2.0
title: Binary black-hole simulation SXS:BBH:0536
DOI: 10.26138/sxs:bbh:0370v2.0
title: Binary black-hole simulation SXS:BBH:0370
DOI: 10.26138/sxs:bbh:0457v2.0
title: Binary black-hole simulation SXS:BBH:0457
DOI: 10.26138/sxs:bbh:0359v2.0
title: Binary black-hole simulation SXS:BBH:0359
DOI: 10.26138/sxs:bbh:0365v2.0
title: Binary black-hole simulation SXS:BBH:0365
DOI: 10.48432/hg3soa
title: Espécies de plantas visitadas por abelhas e que contribuem para a formação do mel e do pólen apícola no Piauí.

description: O conjunto de plantas fornecedoras de alimento para as abelhas (néctar e pólen) é classificado como flora apícola. O conhecimento da flora apícola, sua época de florescimento e fenologia é importante para a preservação e a multiplicação das espécies de potencial melífero que contribuem para a formação dos produtos apícolas de determinada região e, especialmente no semiárido, para a identificação das espécies que florescem na estação seca e que contribuem para a manutenção das colônias. Esses estudos só são possíveis com o levantamento florístico das áreas de interesse para criação de abelhas. No Piauí, apesar de já existirem alguns relatos sobre flora apícola, ainda faltam informações para diferentes biomas e em diferentes épocas e condições climáticas do ano. Nesse contexto, o conjunto de dados apresentados é resultado da observação mensal da flora apícola em diferentes municípios do Estado do Piauí com o objetivo de subsidiar o conhecimento da origem botânica do mel e do pólen produzidos, avaliando também a influência dos fatores climáticos sobre as épocas de florescimento e visitação das abelhas. Os dados da flora apícola foram obtidos em áreas de campos experimentais, em São João do Piauí, Campo Maior-PI e Teresina-PI, no período de fevereiro de 2018 a março de 2020. Esses dados são importantes pois permitem o conhecimento do calendário de florescimento das plantas visitadas por abelhas em Campo Maior-PI, São João do Piauí e Teresina-PI, caracterizando a flora melitófila quanto ao período de florescimento e os recursos ofertados para as abelhas (principalmente néctar e pólen), contribuindo para a preservação e o incremento do pasto apícola e a redução da taxa de perda de colônias de abelhas em região de semiárido piauiense. Essas informações também poderão contribuir para auxiliar um plano de manejo da vegetação, conservação e replantio das matas. Os dados foram coletados no âmbito da Solução para Inovação (SI) “Caracterização da flora apícola (13.16.04.038.00.05)” vinculada ao projeto “Influência das condições climáticas no manejo, produção e sanidade de abelhas Apis mellifera - 13.16.04.038.00.00)” alinhado ao Portfólio de Recursos Genéticos.
DOI: 10.26138/sxs:bbh:0450v2.0
title: Binary black-hole simulation SXS:BBH:0450
DOI: 10.26138/sxs:bbh:0605v2.0
title: Binary black-hole simulation SXS:BBH:0605
DOI: 10.26138/sxs:bbh:0591v2.0
title: Binary black-hole simulation SXS:BBH:0591
DOI: 10.26138/sxs:bbh:0514v2.0
title: Binary black-hole simulation SXS:BBH:0514
DOI: 10.26138/sxs:bbh:0576v2.0
title: Binary black-hole simulation SXS:BBH:0576
DOI: 10.26138/sxs:bbh:0508v2.0
title: Binary black-hole simulation SXS:BBH:0508
DOI: 10.26138/sxs:bbh:0419v2.0
title: Binary black-hole simulation SXS:BBH:0419
DOI: 10.26138/sxs:bbh:0486v2.0
title: Binary black-hole simulation SXS:BBH:0486
DOI: 10.26138/sxs:bbh:0391v2.0
title: Binary black-hole simulation SXS:BBH:0391
DOI: 10.48432/3tgphf
title: Infestação do ácaro Varroa destructor em colônias de abelhas Apis mellifera no Piauí, no período 2018 a 2022.

description: Um dos inimigos naturais das abelhas Apis mellifera L. que provocam grandes prejuízos em todo o mundo é o ácaro Varroa destructor (Anderson & Trueman, 2000), um ectoparasita que ataca tanto larvas como abelhas adultas e pode ser agente transmissor de doenças. No Brasil, os danos causados por V. destructor têm sido relativamente menores que os observados em outros países, provavelmente em função da maior tolerância das abelhas africanizados e de fatores climáticos que influenciam negativamente na taxa de reprodução do ácaro. No entanto, nos últimos anos, já existem registros de danos mais acentuados em algumas regiões brasileiras, em função da maior taxa reprodutiva de nova linhagem do ácaro, o que é preocupante, pois pode levar os apicultores a usarem produtos quimioterápicos para o controle da praga. Assim, tornam-se importantes os monitoramentos preventivos nos apiários, já que existe grande variação da taxa de infestação em diferentes regiões do país, em função das variações climáticas e das linhagens envolvidas. Nesse contexto, o conjunto de dados aqui apresentados é resultado da coleta mensal de amostras em apiários localizados em diferentes municípios do Estado do Piauí com o objetivo de avaliar as variações na taxa de infestação do ácaro V. destructor em colônias de A. mellifera em diferentes biomas e épocas do ano. Os dados foram obtidos em apiários dos municípios de Teresina, São João do Piauí, Simplício Mendes e Campo Maior, no período de setembro de 2018 a agosto de 2022. Para a obtenção da taxa de infestação, foram coletadas mensalmente amostras de abelhas adultas em quadros centrais de até seis colônias por apiário. As amostras foram acondicionadas em recipientes de vidro, contendo álcool a 70% e transportadas para a Embrapa Meio-Norte, em Teresina-PI, para a contagem de abelhas e de ácaros. Com os dados obtidos, calculou-se a taxa de infestação pela fórmula: Taxa de infestação (%) = (N° de ácaros encontrados/N° de abelhas analisadas) x 100. Esses dados são importantes pois permitem o conhecimento dos períodos de maior infestação do ácaro, o que favorece à tomada de decisão quanto às técnicas de manejo a serem utilizadas para o fortalecimento das colônias, visando a prevenção e controle da infestação. Os dados foram coletados no âmbito da Solução para Inovação (SI) “Influência das condições climáticas sobre a sanidade das colônias (13.16.04.038.00.04)” vinculada ao projeto “Influência das condições climáticas no manejo, produção e sanidade de abelhas Apis mellifera - 13.16.04.038.00.00)” alinhado ao Portfólio de Recursos Genéticos.
DOI: 10.5281/zenodo.13171573
title: Binary black-hole simulation SXS:BBH:0492

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171574
title: Binary black-hole simulation SXS:BBH:0492

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171583
title: Binary black-hole simulation SXS:BBH:0410

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171584
title: Binary black-hole simulation SXS:BBH:0410

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

description: A dataset containing 1869 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudotolithus elongatus (Bowdich, 1825)"
 ]
}

 The dataset includes 1869 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045749-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qjkzsk
title: Occurrence Download

description: A dataset containing 4507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinus monophylla Torr. & Frém.",
 "Year 1994-2023"
 ]
}

 The dataset includes 4507 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045750-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/j2mb-9350
title: Imaging a Proto-cluster at z=2.3: The Morphology-Density Relation at High Redshift

description: Original publication https://iopscience.iop.org/article/10.1086/521184
DOI: 10.5281/zenodo.13171589
title: Binary black-hole simulation SXS:BBH:0531

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171590
title: Binary black-hole simulation SXS:BBH:0531

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.jyh75w
title: Occurrence Download

description: A dataset containing 2477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mauremys sinensis (Gray, 1834)"
 ]
}

 The dataset includes 2477 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045752-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khkrqr
title: Occurrence Download

description: A dataset containing 745 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Material sample",
 "Country is Colombia",
 "DatasetKey is Hongos formadores de micorrizas arbusculares de la transición Andino-Amazónica del departamento del Caquetá - Proyecto Colombia BIO",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is January",
 "OccurrenceStatus is Present",
 "Year 1976-2024"
 ]
}

 The dataset includes 745 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045753-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13171636
title: Binary black-hole simulation SXS:BBH:0553

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171637
title: Binary black-hole simulation SXS:BBH:0553

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171645
title: Binary black-hole simulation SXS:BBH:0352

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171646
title: Binary black-hole simulation SXS:BBH:0352

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171669
title: Binary black-hole simulation SXS:BBH:0463

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171670
title: Binary black-hole simulation SXS:BBH:0463

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

description: A dataset listing the 16196 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((80.37326 7.99252,80.26576 7.97181,79.91043 7.87713,79.98508 7.56332,80.03882 7.05662,80.17021 6.42172,80.4061 6.14852,80.71665 6.0802,81.16753 6.22574,81.28996 6.53452,81.27503 6.8698,81.21531 7.37078,81.03913 7.7765,80.37326 7.99252))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 16196 records were derived from 383 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045751-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13171686
title: Binary black-hole simulation SXS:BBH:0441

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171687
title: Binary black-hole simulation SXS:BBH:0441

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.34740/kaggle/dsv/9090392
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.5281/zenodo.13171696
title: Binary black-hole simulation SXS:BBH:0346

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171697
title: Binary black-hole simulation SXS:BBH:0346

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171704
title: Binary black-hole simulation SXS:BBH:0377

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171705
title: Binary black-hole simulation SXS:BBH:0377

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171728
title: Binary black-hole simulation SXS:BBH:0468

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171729
title: Binary black-hole simulation SXS:BBH:0468

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.6084/m9.figshare.26405179.v1
title: The untold emotional toll of navigating the health system: the journey of patients in/from India, living with serious and/or chronic conditions

description: Patient journey mapping, a novel method to visualize all the interactions a patient might have with the health system, is increasingly being adopted by the healthcare industry to identify challenges patients face, with the goal of improving health outcomes. However, patient journey maps are often used internally within pharma companies and are not published widely. Here, I conducted in-depth interviews with 8 Indian patients/caregivers dealing with chronic and/or serious conditions; 7 of the interviewees were living in India and spoke entirely from the perspective of the Indian health system, whereas 1 spoke from his experience of living in India, Ireland, and the UK. Using insights from these interviews, drawing on my own experience as a patient living with a rare disease and multiple comorbidities, and seeking feedback from several international patient advocates and industry professionals, I constructed a detailed map visualizing the collective journey of patients with serious/chronic conditions. Apart from showing the different stages in the patient journey, the map visualizes the associated stress levels, pain points (issues leading to a negative experience), emotions, and information-seeking behavior. One key insight that emerges is that along with a range of highly variable emotions patients experience, stress is a consistent factor throughout the patient journey. In many cases, the stress is caused or exacerbated by factors that can be avoided, such as long wait times, procedural hassles, inadequate or inaccurate information, and lack of empathy in interactions with healthcare professionals. The frustrations patients experience stem from a mix of underlying practical/tangible and emotional/aspirational needs. I have discussed these needs at length and provided suggestions for changes that could be implemented in the health system to meet these needs better. While my analysis presented here is generally framed from the context of the Indian health system, and some points discussed might have nuances in other health systems, the themes and insights provided are relevant to all patients and their journey, anywhere in the world. Pharmaceutical industry professionals, healthcare providers, and policymakers may benefit from these insights and may apply them to make strategic decisions and changes in their approach, with the goal of improving patient experience and health outcomes globally.
DOI: 10.5281/zenodo.13171745
title: Binary black-hole simulation SXS:BBH:0380

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171746
title: Binary black-hole simulation SXS:BBH:0380

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155046
title: Survey Development: Adult International Clinical Perfusion Practice: Survey Tool
DOI: 10.5281/zenodo.13155047
title: Survey Development: Adult International Clinical Perfusion Practice: Survey Tool
DOI: 10.5281/zenodo.13171766
title: Binary black-hole simulation SXS:BBH:0444

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13171767
title: Binary black-hole simulation SXS:BBH:0444

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.11409073
title: Underwater images collected by  Scuba diving in La-Saline, Réunion - 2015-12-10

description: This version is considered deprecated, please refer to the latest version of this deposit.
DOI: 10.5281/zenodo.12773290
title: Underwater images collected by  Scuba diving in La-Saline, Réunion - 2015-12-10

description: This version is considered deprecated, please refer to the latest version of this deposit.