cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7782707
title: Base de données bibliographique pour l'article "Intérêt des bandes fleuries pour le contrôle biologique des pucerons vecteurs des jaunisses de la betterave sucrière"

description: L’interdiction des néonicotinoïdes rend obligatoire la mise en œuvre de stratégies alternatives pour la gestion des pucerons vecteurs des jaunisses de la betterave à sucre. L’installation de bandes fleuries à proximité des cultures pourrait contribuer à une meilleure régulation biologique des pucerons en favorisant leurs ennemis naturels par l’apport de ressources alimentaires (nectar, pollen, proies alternatives, etc.) et d’habitat. L’analyse de 58 études consacrées aux bandes fleuries en grandes cultures confirme leur capacité à augmenter l’abondance des parasitoïdes ou des prédateurs et à réduire les infestations de ravageurs. Un second corpus de 32 articles permet de dresser une première liste, manifestement incomplète, des ennemis naturels des principaux pucerons vecteurs des jaunisses de la betterave. Parmi les facteurs influençant l’efficacité d’une bande fleurie sur le contrôle biologique, la composition spécifique du mélange et les traits floraux des espèces qui le constituent sont déterminants. L’influence des contextes paysager et climatique a été peu abordée jusqu’à présent. Les résultats collectés à partir de la bibliographie semblent indiquer que la composition des bandes fleuries à préconiser en culture de betterave à sucre pourrait différer entre les climats tempéré ou océanique et le climat continental. Des travaux de terrain restent indispensables pour évaluer la pertinence de l’approche bandes fleuries dans le cas de la gestion des jaunisses de la betterave.
DOI: 10.5281/zenodo.7782701
title: Machine activity detection evaluation dataset.

description: Dataset for the evaluation of the one-shot time series machine state detector.
DOI: 10.5281/zenodo.7782702
title: Machine activity detection evaluation dataset.

description: Dataset for the evaluation of the one-shot time series machine state detector.
DOI: 10.6084/m9.figshare.22350427.v4
title: Meta-Learning for Multi-Family Android Malware Classification

description: The datasets involved in the paper "Meta-Learning for Multi-Family Android Malware Classification".
DOI: 10.25345/c53b5wj54
title: MassIVE MSV000091589 - Test Workflow 3.29.1234567890test
title: eftwesrgdxfvghdsfgsdbfgsdergbasdfgbsdfgbsdfgbsdfgwsfdegbsdfgbsdfgbsdfgsdfgsdfgbsdfgsb
DOI: 10.7910/dvn/jd5vko
title: Replication Data for: eSLP optimization algorithm

description: m-files implementing the eSLP optimization algorithm for the three simulations (3.1. - 3.3.) described in the associated paper. File README.txt contains analytical directions regarding requirements, how to verify the results and videos generated by the experiments we have conducted so far, and instructions on how to run them.
DOI: 10.6073/pasta/b168071904acc812cf98f02aeef11d6d
title: PIE LTER, meteorological data, 15 minute intervals, from the Marshview Farm weather station located in Newbury, MA, year 2021

description: Meteorological measurements for 2021 at MBL Marshview Farm, Newbury, MA. Sensors conduct measurements every 5 seconds and measurements are reported as averages or totals for 15 minute intervals. 15 minute averages are reported for air temperature, humidity, solar radiation, PAR, wind speed and direction and barometric pressure. 15 minute totals are reported for precipitation.
DOI: 10.5066/p9uhr6mx
title: Model Archive Summary and Time-Series Suspended-Sediment Concentrations Computed from a Surrogate Turbidity Regression at USGS Station 11336930 Mokelumne River at Andrus Island near Terminous, Ca (2010 - 2016)

description: Continuous 15-minute time-series suspended-sediment concentration data computed from instream turbidity data. Turbidty data is managed by California Department of Water Resources (CDWR) using a YSI 6-series multi-parameter water quality sonde. Complete methods for turbidity data collection are described in attached methods document.
DOI: 10.5066/p9kaomog
title: Data from: Decision science for management of coastal ecosystems

description: Coastal management decisions are complex and include challenging tradeoffs. Decision science offers a useful framework to address such complex problems. We illustrate the process with several coastal restoration studies. Our capstone example is based on a recent barrier island restoration assessment project at Dauphin Island, Alabama, which included the development of geomorphological and ecological models that forecast environmental changes over a 10 year time period from 2015 to 2025. The proposed framework aims to serve as a tool to assist coastal managers with the process of restoration. Specifically, we discuss the importance of considering concepts and techniques from ecology, coastal geology, geomorphology, climate science, oceanography and decision analysis when developing conservation plans for coastal restoration.
DOI: 10.5066/p9vbo1mv
title: Agricultural lands within the Greater Sage-Grouse Conservation Assessment Study Area

description: Agricultural land cover in the study area for the conservation assessment of Greater Sage-grouse conducted by the Western Association of Fish and Wildlife Agencies. This dataset was developed from Sagestitch, an Eastern Washington Shrubsteppe Mapping Project, several state-level Gap Analysis Program (GAP) land cover products (AZ, CA, NM, OR, and WA), National Land Cover Data (NLCD) (ND,SD,NE), and the Prairie Farm Rehabilitation Administration (PFRA) Generalized Landcover (Alberta, Saskatchewan).
DOI: 10.6084/m9.figshare.19727653.v4
title: Supplementary files to: A unique case of Bloom syndrome with a combination of genetic hits: a lesson from trio-based exome sequencing

description: Sanger sequencing chromatograms for the verification of ES data and variant scoring (BLM gene, c.1642C&gt;T, c.2207_2212delinsTAGATTC) MS-MLPA results for RSS/BWS with a borderline hypermethylation H19 locus Coffalyser output for MS-MLPA RSS/BWS in proband description of MS-MLPA outputs
DOI: 10.6084/m9.figshare.7028972
title: Li et al. supplementary data.pdf

description: Supplementary figures (and legends) for Li et al., "Betaglycan (TGFBR3) functions as an inhibin A, but not inhibin B, co-receptor in pituitary gonadotrope cells in mice"<b></b>
DOI: 10.6084/m9.figshare.7028972.v1
title: Li et al. supplementary data.pdf

description: Supplementary figures (and legends) for Li et al., "Betaglycan (TGFBR3) functions as an inhibin A, but not inhibin B, co-receptor in pituitary gonadotrope cells in mice"<b></b>
DOI: 10.5281/zenodo.7779164
title: FIOLA: an accelerated pipeline for Fluorescence Imaging OnLine Analysis calcium dataset

description: The dataset was used in paper FIOLA: an accelerated pipeline for Fluorescence Imaging OnLine Analysis named as 1MP. The dataset was only used to test FIOLA motion correction performance.<br> The dataset was collected for the paper Sensory-driven enhancement of calcium signals in individual Purkinje cell dendrites of awake mice (link: https://pubmed.ncbi.nlm.nih.gov/24582958/) but never published before. Data was recorded in the left lobule of the cerebellum of an awake mouse using the calcium indicator GCaMP6f. GCaMP6f was selectively expressed in Purkinje cells via a combinatorial virus strategy (as explained in the paper). For other datasets used in paper FIOLA, check the original paper and sources they were published.
DOI: 10.5281/zenodo.7779163
title: FIOLA: an accelerated pipeline for Fluorescence Imaging OnLine Analysis calcium dataset

description: The dataset was used in paper FIOLA: an accelerated pipeline for Fluorescence Imaging OnLine Analysis named as 1MP. The dataset was only used to test FIOLA motion correction performance.<br> The dataset was collected for the paper Sensory-driven enhancement of calcium signals in individual Purkinje cell dendrites of awake mice (link: https://pubmed.ncbi.nlm.nih.gov/24582958/) but never published before. Data was recorded in the left lobule of the cerebellum of an awake mouse using the calcium indicator GCaMP6f. GCaMP6f was selectively expressed in Purkinje cells via a combinatorial virus strategy (as explained in the paper). For other datasets used in paper FIOLA, check the original paper and sources they were published.
DOI: 10.5517/ccdc.csd.cc29jx0s
title: CCDC 2131405: Experimental Crystal Structure Determination

description: Related Article: Biswajit Bhattacharya, Adam A. L. Michalchuk, Dorothee Silbernagl, Nobuhiro Yasuda, Torvid Feiler, Heinz Sturm, Franziska Emmerling|2023|Chemical Science|14|3441|doi:10.1039/D2SC06470G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29jx1t
title: CCDC 2131406: Experimental Crystal Structure Determination

description: Related Article: Biswajit Bhattacharya, Adam A. L. Michalchuk, Dorothee Silbernagl, Nobuhiro Yasuda, Torvid Feiler, Heinz Sturm, Franziska Emmerling|2023|Chemical Science|14|3441|doi:10.1039/D2SC06470G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bs4fq
title: CCDC 2168153: Experimental Crystal Structure Determination

description: Related Article: Sif T. Linde, Vasco Corti, Vibeke H. Lauridsen, Johannes N. Lamhauge, Karl Anker Jørgensen, Nomaan M. Rezayee|2023|Chemical Science|14|3676|doi:10.1039/D2SC06131G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bt4q1
title: CCDC 2169123: Experimental Crystal Structure Determination

description: Related Article: Sif T. Linde, Vasco Corti, Vibeke H. Lauridsen, Johannes N. Lamhauge, Karl Anker Jørgensen, Nomaan M. Rezayee|2023|Chemical Science|14|3676|doi:10.1039/D2SC06131G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2clvb5
title: CCDC 2192857: Experimental Crystal Structure Determination

description: Related Article: Ji-Jia Zhou, Ya-Nan Meng, Li-Gao Liu, Yi-Xi Liu, Zhou Xu, Xin Lu, Bo Zhou, Long-Wu Ye|2023|Chemical Science|14|3493|doi:10.1039/D2SC06152J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cmjyh
title: CCDC 2193527: Experimental Crystal Structure Determination

description: Related Article: Yan Zhang, Zhenzhi Cai, Chunhang Zhao, Hanliang Zheng, Lutz Ackermann|2023|Chemical Science|14|3541|doi:10.1039/D2SC07045F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cmjzj
title: CCDC 2193528: Experimental Crystal Structure Determination

description: Related Article: Yan Zhang, Zhenzhi Cai, Chunhang Zhao, Hanliang Zheng, Lutz Ackermann|2023|Chemical Science|14|3541|doi:10.1039/D2SC07045F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d1cb5
title: CCDC 2205846: Experimental Crystal Structure Determination

description: Related Article: Yuyang Dai, Zhuofeng Xie, Manling Bao, Chunmeng Liu, Yuanting Su|2023|Chemical Science|14|3548|doi:10.1039/D3SC00102D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d1cc6
title: CCDC 2205847: Experimental Crystal Structure Determination

description: Related Article: Yuyang Dai, Zhuofeng Xie, Manling Bao, Chunmeng Liu, Yuanting Su|2023|Chemical Science|14|3548|doi:10.1039/D3SC00102D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d1cd7
title: CCDC 2205848: Experimental Crystal Structure Determination

description: Related Article: Yuyang Dai, Zhuofeng Xie, Manling Bao, Chunmeng Liu, Yuanting Su|2023|Chemical Science|14|3548|doi:10.1039/D3SC00102D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d1cf8
title: CCDC 2205849: Experimental Crystal Structure Determination

description: Related Article: Yuyang Dai, Zhuofeng Xie, Manling Bao, Chunmeng Liu, Yuanting Su|2023|Chemical Science|14|3548|doi:10.1039/D3SC00102D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dn8dr
title: CCDC 2224014: Experimental Crystal Structure Determination

description: Related Article: Madeleine Geers, Jie Yie Lee, Sanliang Ling, Oscar Fabelo, Laura Cañadillas-Delgado, Matthew J. Cliffe|2023|Chemical Science|14|3531|doi:10.1039/D2SC06861C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dnbt7
title: CCDC 2224089: Experimental Crystal Structure Determination

description: Related Article: Madeleine Geers, Jie Yie Lee, Sanliang Ling, Oscar Fabelo, Laura Cañadillas-Delgado, Matthew J. Cliffe|2023|Chemical Science|14|3531|doi:10.1039/D2SC06861C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dnb1g
title: CCDC 2224065: Experimental Crystal Structure Determination

description: Related Article: Madeleine Geers, Jie Yie Lee, Sanliang Ling, Oscar Fabelo, Laura Cañadillas-Delgado, Matthew J. Cliffe|2023|Chemical Science|14|3531|doi:10.1039/D2SC06861C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.22357151
title: Bayesian sequential design for sensitivity experiments with hybrid responses

description: In experimental design, a common problem seen in practice is when the result includes one binary response and multiple continuous responses. However, this problem receives scant attention. Most studies pertaining to this problem usually consider the situation in which the continuous responses are independent of the stimulus level condition on the binary response. However, in many practical applications, real data show that this conditional independent assumption is not always appropriate. This article considers a new model for the dependent situation and a corresponding sequential design is proposed under the decision-theoretic framework. To deal with the problem of complex computation involved in searching for optimal designs, fast algorithms are presented using two strategies to approximate the optimal criterion, denoted as SI-optimal design and Bayesian D-optimal design, respectively. Simulation studies based on data from a Chinese chemical material factory show that the proposed methods perform well in estimating the interesting quantiles.
DOI: 10.6084/m9.figshare.22357151.v1
title: Bayesian sequential design for sensitivity experiments with hybrid responses

description: In experimental design, a common problem seen in practice is when the result includes one binary response and multiple continuous responses. However, this problem receives scant attention. Most studies pertaining to this problem usually consider the situation in which the continuous responses are independent of the stimulus level condition on the binary response. However, in many practical applications, real data show that this conditional independent assumption is not always appropriate. This article considers a new model for the dependent situation and a corresponding sequential design is proposed under the decision-theoretic framework. To deal with the problem of complex computation involved in searching for optimal designs, fast algorithms are presented using two strategies to approximate the optimal criterion, denoted as SI-optimal design and Bayesian D-optimal design, respectively. Simulation studies based on data from a Chinese chemical material factory show that the proposed methods perform well in estimating the interesting quantiles.
DOI: 10.6084/m9.figshare.20326501
title: Natural course and determinants of short-term kidney function decline in hereditary transthyretin amyloidosis: a French observational study

description: Data regarding renal involvement in patients with hereditary transthyretin (ATTRv) amyloidosis are scarce and the natural course of chronic kidney disease (CKD) in this population remains unclear. This observational study, including adult patients diagnosed with ATTRv amyloidosis at the French Reference Centre for Cardiac Amyloidosis, investigated renal function outcome and its determinants. Multivariable logistic regression models identified factors associated with CKD at baseline. Determinants of the change in estimated glomerular filtration rate (eGFR) over 24 months of follow-up were assessed with a multivariable linear mixed-effects model. In total, 232 patients (78 women [34%], mean age: 64 years) with ATTRv amyloidosis were classified on the basis of their <i>TTR</i> variants: ATTRV122I (37%), ATTRV30M (29%), and other variants (34%). Median baseline eGFR was 78 ml/min/1.73 m<sup>2</sup>. Seventy-two patients (31%) had an eGFR below 60 ml/min/1.73m<sup>2</sup> and 27/137 patients (20%) had significant proteinuria (urine protein/creatinine ratio ≥30 mg/mmol). Renal biopsy, performed in four cases, found typical Congo red-positive and TTR-labelled amyloid deposits in all cases. Older age (OR 1.07, <i>p</i> &lt; .001) and a prior history of hypertension (OR 2.09, <i>p</i> = .04) were associated with a higher prevalence of CKD at baseline, whereas higher left ventricular global longitudinal strain (LVGLS) (OR 0.83, <i>p</i> &lt; .001) was associated with a lower prevalence. The estimated change in eGFR was −7.12 [−9.61, −4.63] and −8.21 [−10.81, −5.60] ml/min/1.73 m<sup>2</sup> after 12 and 24 months of follow-up, respectively. eGFR decline was independently associated with older age ((67–74], coefficient= −14.35 mL/min/1.73 m<sup>2</sup>, <i>p</i> &lt; .01, &gt;74, coefficient = −22.93 mL/min/1.73 m<sup>2</sup>, <i>p</i> &lt; .001, versus &lt;56), ATTRV122I (coefficient = −17.17 mL/min/1.73m<sup>2</sup>, <i>p</i> &lt; .01, versus ATTRV30M) and LVGLS (coefficient = 1.22, <i>p</i> &lt; .01). These data suggest that CKD is a common finding in patients with ATTRv amyloidosis, and that eGFR decline is rapid during the first year of evaluation. Older age, lower LVGLS and ATTRV122I were associated with a worse renal outcome. Further studies are now needed to evaluate effects of new targeted therapies on long term renal function.