cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10034654
title: Childhood_Archive_Christian

description: Welcome to my childhood archive project called "Childhood_Archive_Christian"!
 
My name is Christian Stærmose Chandler and is a guide on how to access and comprehend this archive containing amongst other things 4 images of 4 self-chosen objects from my childhood along with some data pertaining to other persons. The objects were my old traveling bag (called Christians_bag.tiff), my plushie eagle (Christians_eagle.tiff), my Nintendo Game Boy Advanced (Christians_GameBoy.tiff), and my Nintendo DS (Christians_Nintendo_DS.tiff). As you can see all of my images are stored as a tiff file (Tagged Image File Format). Relating to the images of the object, their acquisition, and more, please see "Read_me_first.docx".
 
"Metadata_childhood.xlsx" (An Excel file), is a set of metadata containing information related to not only to my childhood, but also three other persons. 
The Furthermore, the file "Read_me_metadata_childhood.docx" is a word document containing information vital to properly understanding the information and identifiers from "Metadata_childhood.xlsx", so do please feel welcome to explore both of these.
 
The file, "Metadata_childhood.xlsx", contains data from other persons than me, whose contact information I will not link directly to within this dataset, but I as contact person for this dataset I will try my best to put anyone of interest in contact with them. Their names are Mie, Victor, and Erik.
 
Should there be any doubt or questions, please feel free to contact me using the following mail: christians.aqw@gmail.com or 202006135@post.au.dk.
 
Yours sincerely,
Christian Stærmose Chandler
https://orcid.org/0009-0005-5453-7908
DOI: 10.5281/zenodo.10034723
title: RTS Spring 2023 Route 11 Ride Check Data Set

description: This data set contains ride check data for Route 11 for March, 2023. The ride check data set contains fields for Stop ID, Stop Name, Stop Seq ID, Day of Week, Date, Arrive, Passenger On, Passenger Off, Passenger Load, Passenger Miles, Interstop Distance, Bus, Lat., Long. The data set was requested and given from the Regional Transit System of Gainesville, Florida.
DOI: 10.5281/zenodo.10034653
title: Childhood_Archive_Christian

description: Welcome to my childhood archive project called "Childhood_Archive_Christian"!
 
My name is Christian Stærmose Chandler and is a guide on how to access and comprehend this archive containing amongst other things 4 images of 4 self-chosen objects from my childhood along with some data pertaining to other persons. The objects were my old traveling bag (called Christians_bag.tiff), my plushie eagle (Christians_eagle.tiff), my Nintendo Game Boy Advanced (Christians_GameBoy.tiff), and my Nintendo DS (Christians_Nintendo_DS.tiff). As you can see all of my images are stored as a tiff file (Tagged Image File Format). Relating to the images of the object, their acquisition, and more, please see "Read_me_first.docx".
 
"Metadata_childhood.xlsx" (An Excel file), is a set of metadata containing information related to not only to my childhood, but also three other persons. 
The Furthermore, the file "Read_me_metadata_childhood.docx" is a word document containing information vital to properly understanding the information and identifiers from "Metadata_childhood.xlsx", so do please feel welcome to explore both of these.
 
The file, "Metadata_childhood.xlsx", contains data from other persons than me, whose contact information I will not link directly to within this dataset, but I as contact person for this dataset I will try my best to put anyone of interest in contact with them. Their names are Mie, Victor, and Erik.
 
Should there be any doubt or questions, please feel free to contact me using the following mail: christians.aqw@gmail.com or 202006135@post.au.dk.
 
Yours sincerely,
Christian Stærmose Chandler
https://orcid.org/0009-0005-5453-7908
DOI: 10.5281/zenodo.10034755
title: Data of figures in arXiv:2305.03800

description: Data for all figures in arXiv:2305.03800.


See READ_ME.md for detailed description of each file.
DOI: 10.5281/zenodo.8082295
title: Data of figures in arXiv:2305.03800

description: Data for all figures in arXiv:2305.03800. See READ_ME.md for detailed description of each file.
DOI: 10.5281/zenodo.10034746
title: RTS_Spring 2023 TBEST Data

description: This dataset was collected through automatic passenger counters for Spring 2023 for all RTS routes. This data can be used to generate a GTFS_ridership.txt file.
DOI: 10.5281/zenodo.10034747
title: RTS_Spring 2023 TBEST Data

description: This dataset was collected through automatic passenger counters for Spring 2023 for all RTS routes. This data can be used to generate a GTFS_ridership.txt file.
DOI: 10.6084/m9.figshare.24422293
title: Extrinsic period of Incubation of T. cruzi inside of T. infesting

description: T cruzi positve feces from Triatoma infestan aclimated to 4 diferent thermal treatments.
DOI: 10.5522/04/24356815
title: BRMS model results from three-agent model of risky choice

description: The zip contains RData files which contain R workspaces that have the results of our model fits of the three agent model, to various experiments associated with the paper: <br> "The rat frontal orienting field dynamically encodes value for economic decisions under risk". Bao, C.†, Zhu, X.†, Moller-Mara, J., Li, J., Dubroqua, S., & Erlich, J. C. (2023). Nature Neuroscience. https://doi.org/10.1038/s41593-023-01461-x † These authors contributed equally to the work. <br> The following git repo has related code: https://github.com/erlichlab/risk-fof-ppc-2023 <br>
DOI: 10.5522/04/24356815.v1
title: BRMS model results from three-agent model of risky choice

description: The zip contains RData files which contain R workspaces that have the results of our model fits of the three agent model, to various experiments associated with the paper: <br> "The rat frontal orienting field dynamically encodes value for economic decisions under risk". Bao, C.†, Zhu, X.†, Moller-Mara, J., Li, J., Dubroqua, S., & Erlich, J. C. (2023). Nature Neuroscience. https://doi.org/10.1038/s41593-023-01461-x † These authors contributed equally to the work. <br> The following git repo has related code: https://github.com/erlichlab/risk-fof-ppc-2023 <br>
DOI: 10.6084/m9.figshare.23836743
title: Data for Figures - Davies & Wright 2023 - Alfven-Fast Wave Coupling in a 3D Non-Uniform Medium

description: Data to reproduce figures from Davies and Wright for submission to Earth and Space Science 2023.Alfvén-Fast Wave Coupling in a 3D Non-Uniform Medium<br>IDL Save files to reproduce these plots from the paper. Use the 'restore' command to read in the data.
DOI: 10.6084/m9.figshare.23836743.v1
title: Data for Figures - Davies & Wright 2023 (submitted) - Alfven-Fast Wave Coupling in a 3D Non-Uniform Medium

description: Data to reproduce figures from Davies and Wright for submission to Earth and Space Science 2023.Alfvén-Fast Wave Coupling in a 3D Non-Uniform Medium<br>IDL Save files to reproduce these plots from the paper. Use the 'restore' command to read in the data.
DOI: 10.5517/ccdc.csd.cc2d6n8k
title: CCDC 2210928: Experimental Crystal Structure Determination

description: Related Article: Ya‐Hsu Yang, Anjali. Maranchery, Zih‐Syun Lin, Shivaraj B. Patil, Min‐Chieh Chuang, Kiran B. Manjappa|2023|Chem. Sel.|8|e202204767|doi:10.1002/slct.202204767
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: 10.5281/zenodo.10034848
title: SUSTENTABILIDADE EMPRESARIAL: COMO AS PEQUENAS EMPRESAS PODEM OBTER LUCRO SEM COMPROMETER O MEIO AMBIENTE

description: Este artigo científico aborda o desafio das pequenas empresas em alcançar a sustentabilidade empresarial, ou seja, a capacidade de obter lucro sem prejudicar o meio ambiente. A sustentabilidade empresarial tornou-se uma preocupação crucial em um cenário global marcado pelas mudanças climáticas e pela crescente demanda por práticas comerciais socialmente responsáveis. O estudo começa destacando a importância da sustentabilidade empresarial, tanto para atender às expectativas dos consumidores modernos quanto para minimizar os riscos associados às regulamentações ambientais cada vez mais rigorosas. Em seguida, analisa os principais desafios enfrentados pelas pequenas empresas, como recursos limitados e falta de conhecimento especializado. Para ajudar as pequenas empresas a obter lucro de forma sustentável, o artigo apresenta uma série de estratégias viáveis como: Uso de Energias Renováveis, Cadeia de Suprimentos Sustentáveis, Inovação em Produtos e Serviços, Compromisso com a Responsabilidade Social e etc. Ao longo do estudo, o artigo também faz um estudo sobre as principais empresas que deflagram o meio ambiente, os riscos que elas causam para nós mesmos no futuro e como podemos mudar o rumo da história. Por fim, se destaca a importância do compromisso da alta administração com a sustentabilidade e a necessidade de integração dessas estratégias ao núcleo dos negócios. Além disso, ressalta que, embora as pequenas empresas enfrentem desafios específicos, elas têm a flexibilidade para implementar mudanças ágeis e aproveitar as oportunidades de mercado que a sustentabilidade pode oferecer.
DOI: 10.5281/zenodo.10034847
title: SUSTENTABILIDADE EMPRESARIAL: COMO AS PEQUENAS EMPRESAS PODEM OBTER LUCRO SEM COMPROMETER O MEIO AMBIENTE

description: Este artigo científico aborda o desafio das pequenas empresas em alcançar a sustentabilidade empresarial, ou seja, a capacidade de obter lucro sem prejudicar o meio ambiente. A sustentabilidade empresarial tornou-se uma preocupação crucial em um cenário global marcado pelas mudanças climáticas e pela crescente demanda por práticas comerciais socialmente responsáveis. O estudo começa destacando a importância da sustentabilidade empresarial, tanto para atender às expectativas dos consumidores modernos quanto para minimizar os riscos associados às regulamentações ambientais cada vez mais rigorosas. Em seguida, analisa os principais desafios enfrentados pelas pequenas empresas, como recursos limitados e falta de conhecimento especializado. Para ajudar as pequenas empresas a obter lucro de forma sustentável, o artigo apresenta uma série de estratégias viáveis como: Uso de Energias Renováveis, Cadeia de Suprimentos Sustentáveis, Inovação em Produtos e Serviços, Compromisso com a Responsabilidade Social e etc. Ao longo do estudo, o artigo também faz um estudo sobre as principais empresas que deflagram o meio ambiente, os riscos que elas causam para nós mesmos no futuro e como podemos mudar o rumo da história. Por fim, se destaca a importância do compromisso da alta administração com a sustentabilidade e a necessidade de integração dessas estratégias ao núcleo dos negócios. Além disso, ressalta que, embora as pequenas empresas enfrentem desafios específicos, elas têm a flexibilidade para implementar mudanças ágeis e aproveitar as oportunidades de mercado que a sustentabilidade pode oferecer.
DOI: 10.5517/ccdc.csd.cc2bgth4
title: CCDC 2159196: Experimental Crystal Structure Determination

description: Related Article: Raju Biswas, Krishanu Samanta, Sandipan Ghorai, Suman Maji, Ramalingam Natarajan|2023|ACS Omega|8|19625|doi:10.1021/acsomega.3c01146
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.cc2bgtj5
title: CCDC 2159197: Experimental Crystal Structure Determination

description: Related Article: Raju Biswas, Krishanu Samanta, Sandipan Ghorai, Suman Maji, Ramalingam Natarajan|2023|ACS Omega|8|19625|doi:10.1021/acsomega.3c01146
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.cc2cn3w1
title: CCDC 2194083: Experimental Crystal Structure Determination

description: Related Article: Bingze Wu, Hao Su, Aoyuan Cheng, Xuepeng Zhang, Tao Wang, Guoqing Zhang
|2023|Cell Reports Physical Science|4|101245|doi:10.1016/j.xcrp.2022.101245
description: Related Article: Tao Wang|2023|CSD Communication|||
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.24126876
title: Convolutional Neural Networks for Valid and Efficient Causal Inference

description: Convolutional neural networks (CNN) have been successful in machine learning applications. Their success relies on their ability to consider space invariant local features. We consider the use of CNN to fit nuisance models in semiparametric estimation of the average causal effect of a treatment. In this setting, nuisance models are functions of pretreatment covariates that need to be controlled for. In an application where we want to estimate the effect of early retirement on a health outcome, we propose to use CNN to control for time-structured covariates. Thus, CNN is used when fitting nuisance models explaining the treatment and the outcome. These fits are then combined into an augmented inverse probability weighting estimator yielding efficient and uniformly valid inference. Theoretically, we contribute by providing rates of convergence for CNN equipped with the rectified linear unit activation function and compare it to an existing result for feedforward neural networks. We also show when those rates guarantee uniformly valid inference. A Monte Carlo study is provided where the performance of the proposed estimator is evaluated and compared with other strategies. Finally, we give results on a study of the effect of early retirement on hospitalization using data covering the whole Swedish population. Supplementary materials are available online at https://github.com/stat4reg/Causal/_CNN.
DOI: 10.6084/m9.figshare.24126876.v2
title: Convolutional Neural Networks for Valid and Efficient Causal Inference

description: Convolutional neural networks (CNN) have been successful in machine learning applications. Their success relies on their ability to consider space invariant local features. We consider the use of CNN to fit nuisance models in semiparametric estimation of the average causal effect of a treatment. In this setting, nuisance models are functions of pretreatment covariates that need to be controlled for. In an application where we want to estimate the effect of early retirement on a health outcome, we propose to use CNN to control for time-structured covariates. Thus, CNN is used when fitting nuisance models explaining the treatment and the outcome. These fits are then combined into an augmented inverse probability weighting estimator yielding efficient and uniformly valid inference. Theoretically, we contribute by providing rates of convergence for CNN equipped with the rectified linear unit activation function and compare it to an existing result for feedforward neural networks. We also show when those rates guarantee uniformly valid inference. A Monte Carlo study is provided where the performance of the proposed estimator is evaluated and compared with other strategies. Finally, we give results on a study of the effect of early retirement on hospitalization using data covering the whole Swedish population. Supplementary materials are available online at https://github.com/stat4reg/Causal/_CNN.
DOI: 10.6084/m9.figshare.24126876.v1
title: Convolutional neural networks for valid and efficient causal inference

description: Convolutional neural networks (CNN) have been successful in machine learning applications. Their success relies on their ability to consider space invariant local features. We consider the use of CNN to fit nuisance models in semiparametric estimation of the average causal effect of a treatment. In this setting, nuisance models are functions of pre-treatment covariates that need to be controlled for. In an application where we want to estimate the effect of early retirement on a health outcome, we propose to use CNN to control for time-structured covariates. Thus, CNN is used when fitting nuisance models explaining the treatment and the outcome. These fits are then combined into an augmented inverse probability weighting estimator yielding efficient and uniformly valid inference. Theoretically, we contribute by providing rates of convergence for CNN equipped with the rectified linear unit activation function and compare it to an existing result for feedforward neural networks. We also show when those rates guarantee uniformly valid inference. A Monte Carlo study is provided where the performance of the proposed estimator is evaluated and compared with other strategies. Finally, we give results on a study of the effect of early retirement on hospitalization using data covering the whole Swedish population. Supplementary materials are available on-line at https://github.com/stat4reg/Causal_CNN.
DOI: 10.6084/m9.figshare.5464291
title: The role of the ovarian cycle and the effects of mitogen-induced cytokines on human prolactin gene expression in peripheral blood mononuclear cells

description: <b>Background</b>: little is known on the influences of normal menstrual cycle on prolactin gene expression in immune cells. Aim of the study: to determine the effects of the ovarian cycle on prolactin and its receptor expression. <b>Methods</b>: peripheral blood mononuclear cells (PBMC) were obtained from twenty-six normal menstruating women at different intervals of their menstrual cycle. The PBMC were incubated during 24 h in the presence or absence of Concanavalin-A (Con-A) and the gene expression of <i>PRL, PRLR</i> and cytokines was evaluated by qPCR. Prolactin, IL-2 and cAMP were determined in each culture by specific immunoassays. <b>Results</b>: neither <i>PRL</i> nor its receptor expression in PBMC changed significantly among groups, including the cytokines (IL-2, IL-10, and IFNG) studied. Similar results, among groups, were obtained, when <i>PRL</i> expression was stimulated by PGE2 or 8-Br-cAMP. Concanavalin A-stimulated PBMC expressed significantly less prolactin and a significant negative correlation between secreted IL-2 and PRL expression was found. The presence of anti-IL-2 antibodies in Con-A stimulated-cultures significantly increased <i>PRL</i> expression when compared to control cells regardless the hormonal status. <b>Conclusions</b>: these data suggest that the menstrual cycle does not significantly modulate or influence prolactin and cytokines gene expression in PBMC, and indicate that <i>IL-2</i> may be involved in the Con-A regulation of <i>PRL</i> expression in immune cells.
DOI: 10.6084/m9.figshare.5464291.v1
title: The role of the ovarian cycle and the effects of mitogen-induced cytokines on human prolactin gene expression in peripheral blood mononuclear cells

description: <b>Background</b>: little is known on the influences of normal menstrual cycle on prolactin gene expression in immune cells. Aim of the study: to determine the effects of the ovarian cycle on prolactin and its receptor expression. <b>Methods</b>: peripheral blood mononuclear cells (PBMC) were obtained from twenty-six normal menstruating women at different intervals of their menstrual cycle. The PBMC were incubated during 24 h in the presence or absence of Concanavalin-A (Con-A) and the gene expression of <i>PRL, PRLR</i> and cytokines was evaluated by qPCR. Prolactin, IL-2 and cAMP were determined in each culture by specific immunoassays. <b>Results</b>: neither <i>PRL</i> nor its receptor expression in PBMC changed significantly among groups, including the cytokines (IL-2, IL-10, and IFNG) studied. Similar results, among groups, were obtained, when <i>PRL</i> expression was stimulated by PGE2 or 8-Br-cAMP. Concanavalin A-stimulated PBMC expressed significantly less prolactin and a significant negative correlation between secreted IL-2 and PRL expression was found. The presence of anti-IL-2 antibodies in Con-A stimulated-cultures significantly increased <i>PRL</i> expression when compared to control cells regardless the hormonal status. <b>Conclusions</b>: these data suggest that the menstrual cycle does not significantly modulate or influence prolactin and cytokines gene expression in PBMC, and indicate that <i>IL-2</i> may be involved in the Con-A regulation of <i>PRL</i> expression in immune cells.
DOI: 10.6084/m9.figshare.21082654.v1
title: Bidirectional reflectance changes in wild type and chloroplast movement mutants - raw data

description: Time courses of changes in red-light bidirectional reflectance induced by 1 h irradiation with low (0.1 µmol·m<sup>-2</sup>·s<sup>-1</sup>) or high (100 µmol·m<sup>-2</sup>·s<sup>-1</sup>) blue light of the adaxial surface of rosette leaves of 5-week-old <i>Arabidopsis</i> plants. Measurements were recorded for wild-type (WT), <i>glabra1, phot1</i>,<i> phot2</i>, <i>phot1phot2,</i> and <i>jac1 </i>mutants. The angle of incidence of the measuring and actinic beams was 40° or 55°. The detector was positioned at the angle of 0° (the detector normal parallel to the leaf normal) or either -40° (when incidence at 40°) or -55° (when incidence at 55°). The transmission axis of the polarizer was either parallel (<i>P</i>) or perpendicular (<i>S</i>) to the plane of incidence.
DOI: 10.5281/zenodo.10033587
title: Future Riverine Flood Impacts for NUTS3 regions in Europe: GLOFRIS input to DIFI

description: This dataset presents results of current and future riverine flood impact data for NUTS3 regions in Europe. The dataset has been developed following the methodology presented in Tiggeloven et al. (2020) and Mortensen et al. (In Review).
This dataset can be used to as direct input for the DIFI model as described in Tesselaar et al. (2023).
References:
Mortensen, E., Tiggeloven, T., Haer, T., van Bemmel, B., Bouwman, A., Ligtvoet, W., & Ward, P.J.: The potential for various riverine flood DRR measures at the global scale. Journal of Coastal and Riverine Flood Risk, In Review.
Tesselaar, M., Botzen, W.J.W., Aerts, J.C.J.H., Tiggeloven, T. (2023). Flood insurance is a driver of population growth in European floodplains. Nature Communications (provisionally accepted)
Tiggeloven, T., De Moel, H., Winsemius, H. C., Eilander, D., Erkens, G., Gebremedhin, E., ... & Ward, P. J. (2020). Global-scale benefit–cost analysis of coastal flood adaptation to different flood risk drivers using structural measures. Natural Hazards and Earth System Sciences, 20(4), 1025-1044.