cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7294/21909792.v1
title: North Carolina Results of the Wildlife Viewer Survey

description: Through a 2021 AFWA MultiState Conservation Grant, Virginia Tech and the AFWA Wildlife Viewing and Nature Tourism Working Group conducted national and state level surveys to gather more data on wildlife viewers. This dataset is from the survey conducted in North Carolina. It contains: 1. North Carolina Wildlife Viewer Survey.pdf: a pdf version of the survey instrument 2. North Carolina_WildlifeViewerSurvey.csv: a csv (comma-separated values) file of the dataset 3. North Carolina_WildlifeViewerSurvey.sav: a sav (compatible with SPSS, the Statistical Package for Social Science) file of the dataset 4. WildlifeViewerSurveyData_VariableGuide: a guide to each variable name in the datasets.
DOI: 10.6084/m9.figshare.21916446.v1
title: Are Latent Factor Regression and Sparse Regression Adequate?

description: We propose the Factor Augmented (sparse linear) Regression Model (FARM) that not only admits both the latent factor regression and sparse linear regression as special cases but also bridges dimension reduction and sparse regression together. We provide theoretical guarantees for the estimation of our model under the existence of sub-Gaussian and heavy-tailed noises (with bounded (1+ϑ)-th moment, for all ϑ&gt;0) respectively. In addition, the existing works on supervised learning often assume the latent factor regression or sparse linear regression is the true underlying model without justifying its adequacy. To fill in such an important gap on high-dimensional inference, we also leverage our model as the alternative model to test the sufficiency of the latent factor regression and the sparse linear regression models. To accomplish these goals, we propose the Factor-Adjusted deBiased Test (FabTest) and a two-stage ANOVA type test respectively. We also conduct large-scale numerical experiments including both synthetic and FRED macroeconomics data to corroborate the theoretical properties of our methods. Numerical results illustrate the robustness and effectiveness of our model against latent factor regression and sparse linear regression models.
DOI: 10.6084/m9.figshare.21916446
title: Are Latent Factor Regression and Sparse Regression Adequate?

description: We propose the Factor Augmented (sparse linear) Regression Model (FARM) that not only admits both the latent factor regression and sparse linear regression as special cases but also bridges dimension reduction and sparse regression together. We provide theoretical guarantees for the estimation of our model under the existence of sub-Gaussian and heavy-tailed noises (with bounded (1+ϑ)-th moment, for all ϑ&gt;0) respectively. In addition, the existing works on supervised learning often assume the latent factor regression or sparse linear regression is the true underlying model without justifying its adequacy. To fill in such an important gap on high-dimensional inference, we also leverage our model as the alternative model to test the sufficiency of the latent factor regression and the sparse linear regression models. To accomplish these goals, we propose the Factor-Adjusted deBiased Test (FabTest) and a two-stage ANOVA type test respectively. We also conduct large-scale numerical experiments including both synthetic and FRED macroeconomics data to corroborate the theoretical properties of our methods. Numerical results illustrate the robustness and effectiveness of our model against latent factor regression and sparse linear regression models.
DOI: 10.15472/v6kfja
title: Herpetofauna de ocho Biodiverciudades de Colombia - Bioblitz 2022

description: El recurso aquí presentado es el resultado de la revisión de información secundaria y el registro de especies de anfibios y reptiles observadas durante las jornadas de los inventarios rápidos con la comunidad o Bioblitz, en ocho ciudades de Colombia (Armenia, Barrancabermeja, Montería, Yopal, Leticia, Villavicencio, Manizales y Pasto). La presente lista de chequeo contiene: 128 taxones de anfibios identificados a nivel de especie y 3 género. 195 taxones de reptiles identificados a nivel de especie, 22 a subespecie y 6 a género.
DOI: 10.34740/kaggle/dsv/4868834
title: Cervical Radiculopathy Trial
DOI: 10.5066/p9avugtg
title: Channel geometry for upstream and downstream cross sections at selected bridge sites in Montana, 2021

description: The U.S. Geological Survey, in cooperation with the Montana Department of Transportation (MDT), collected cross-section data on the upstream and downstream sides at selected bridges in Montana during the 2021 calendar year. The purpose of the data collection is to determine if scour and channel instability occur in the vicinity of the bridge structures. Data were processed, analyzed, and compiled for scour monitoring, facilitating better understanding, documentation, and prediction of scour processes.
DOI: 10.5258/soton/wp00755
title: Gridded population estimates for 40 countries in Latin America and the Caribbean using official population estimates, Version 1.0

description: The data were produced by WorldPop at the University of Southampton. These data include gridded population estimates, at approximately 100m resolution, for 40 countries in Latin America and the Caribbean (Appendix A). These results were created using official population estimates at the finestavailable resolution provided by National Statistic Offices (NSOs) throughout the region, and built-up area, height and volume covariates produced from World Settlement Footprint 3D (WSF3D) datasets1. We acknowledge the contribution of WorldPop’s partners, notably the United Nations Population Fund (UNFPA) Latin America and Caribbean Regional Office in supporting the collection of population and administrative boundary data, and to the German Aerospace Center (DLR) for preparing and providing built settlement data from the WSF3D framework. Modelling work and geospatial data processing was carried out by McKeen T., Bondarenko M., Kerr D. and Sorichetta A. Esch T., Marconcini M., Zeidler J. and Palacios-Lopez D. prepared and provided the WSF3D datasets. Juran S. and Valle C. aided with population and administrative boundary data collection. Oversight was provided by Andrew J. Tatem.
DOI: 10.34740/kaggle/dsv/4868889
title: Chemical Compounds
DOI: 10.6084/m9.figshare.21916525.v1
title: Variational Bayes for fast and accurate empirical likelihood inference

description: We develop a fast and accurate approach to approximate posterior distributions in the Bayesian empirical likelihood framework. Bayesian empirical likelihood allows for the use of Bayesian shrinkage without specification of a full likelihood but is notorious for leading to several computational difficulties. By coupling the stochastic variational Bayes procedure with an adjusted empirical likelihood framework, the proposed method overcomes the intractability of both the exact posterior and the arising evidence lower bound objective, and the mismatch between the exact posterior support and the variational posterior support. The optimization algorithm achieves fast algorithmic convergence by utilizing the variational expected gradient of the log adjusted empirical likelihood function. We prove the consistency of the proposed approximate posterior distribution and an empirical likelihood analogue of the variational Bernstein-von-Mises theorem. Through several numerical examples, we confirm the accuracy and quick algorithmic convergence of our proposed method.
DOI: 10.6084/m9.figshare.21916525
title: Variational Bayes for fast and accurate empirical likelihood inference

description: We develop a fast and accurate approach to approximate posterior distributions in the Bayesian empirical likelihood framework. Bayesian empirical likelihood allows for the use of Bayesian shrinkage without specification of a full likelihood but is notorious for leading to several computational difficulties. By coupling the stochastic variational Bayes procedure with an adjusted empirical likelihood framework, the proposed method overcomes the intractability of both the exact posterior and the arising evidence lower bound objective, and the mismatch between the exact posterior support and the variational posterior support. The optimization algorithm achieves fast algorithmic convergence by utilizing the variational expected gradient of the log adjusted empirical likelihood function. We prove the consistency of the proposed approximate posterior distribution and an empirical likelihood analogue of the variational Bernstein-von-Mises theorem. Through several numerical examples, we confirm the accuracy and quick algorithmic convergence of our proposed method.
DOI: 10.34740/kaggle/dsv/4868892
title: Egypt Gold Prices | Daily Updated
DOI: 10.3886/e183981v1
title: Bangladesh Labor Force Survey 2016-17 Questionnaire English Translation

description: This file contains an English translation of the Bangladesh Labor Force Survey 2016-17. The underlying data can be acquired by contacting the Bangladesh Bureau of Statistics. For more details on the dataset, see http://data.bbs.gov.bd/index.php/catalog/200.
DOI: 10.6073/pasta/33776fc6b8588fecc802db8405cfad3f
title: Weather data for the period 2016 to 2022 from the HH1 Greenhouse location at University Farms, Case Western Reserve University

description: Data from the HH1 weather station at University Farms of Case Western Reserve University include observations from 2016 to 2022. University Farms is located in Hunting Valley, Ohio. The weather station was located N 41.493371, W81.422504. Data include date/time (in 15-minute intervals), air temperature, relative humidity, wind speed, wind gust speed, wind direction, and solar radiation.
DOI: 10.5517/ccdc.csd.cc291yv5
title: CCDC 2117047: Experimental Crystal Structure Determination

description: Related Article: Yuki Yoshimura, Yudai Tanaka, Ryota Kobayashi, Kohei Niikura, Tsuneomi Kawasaki|2022|Org.Biomol.Chem.|21|520|doi:10.1039/D2OB01802K
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.cc292f1w
title: CCDC 2117487: Experimental Crystal Structure Determination

description: Related Article: Yuki Yoshimura, Yudai Tanaka, Ryota Kobayashi, Kohei Niikura, Tsuneomi Kawasaki|2022|Org.Biomol.Chem.|21|520|doi:10.1039/D2OB01802K
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.cc29gy5x
title: CCDC 2129519: Experimental Crystal Structure Determination

description: Related Article: Lavenia J. Thursch, Thamires A. Lima, Nichole O’Neill, Fabio F. Ferreira, Reinhard Schweitzer-Stenner, Nicolas J. Alvarez|2023|Soft Matter|19|394|doi:10.1039/D2SM01082H
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.cc29gy6y
title: CCDC 2129520: Experimental Crystal Structure Determination

description: Related Article: Lavenia J. Thursch, Thamires A. Lima, Nichole O’Neill, Fabio F. Ferreira, Reinhard Schweitzer-Stenner, Nicolas J. Alvarez|2023|Soft Matter|19|394|doi:10.1039/D2SM01082H
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.cc29gy7z
title: CCDC 2129521: Experimental Crystal Structure Determination

description: Related Article: Lavenia J. Thursch, Thamires A. Lima, Nichole O’Neill, Fabio F. Ferreira, Reinhard Schweitzer-Stenner, Nicolas J. Alvarez|2023|Soft Matter|19|394|doi:10.1039/D2SM01082H
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.cc29gy80
title: CCDC 2129522: Experimental Crystal Structure Determination

description: Related Article: Lavenia J. Thursch, Thamires A. Lima, Nichole O’Neill, Fabio F. Ferreira, Reinhard Schweitzer-Stenner, Nicolas J. Alvarez|2023|Soft Matter|19|394|doi:10.1039/D2SM01082H
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.cc2cq71d
title: CCDC 2196103: Experimental Crystal Structure Determination

description: Related Article: Dmitrii L. Obydennov, Alena E. Simbirtseva, Alexander S. Shirinkin, Mikhail Y. Kornev, Vyacheslav Y. Sosnovskikh|2022|Org.Biomol.Chem.|21|600|doi:10.1039/D2OB01862D
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.cc2d0bxp
title: CCDC 2204872: Experimental Crystal Structure Determination

description: Related Article: Yuki Yoshimura, Yudai Tanaka, Ryota Kobayashi, Kohei Niikura, Tsuneomi Kawasaki|2022|Org.Biomol.Chem.|21|520|doi:10.1039/D2OB01802K
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.cc2d2993
title: CCDC 2206744: Experimental Crystal Structure Determination

description: Related Article: Caroline Grundke, Jonathan Groß, Nina Vierengel, Jason Sirleaf, Matthias Schmitz, Leonie Krieger, Till Opatz|2022|Org.Biomol.Chem.|21|644|doi:10.1039/D2OB02216H
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.cc2d4v7n
title: CCDC 2209191: Experimental Crystal Structure Determination

description: Related Article: Hongdao Li, Chaoyi Jin, Jing Han, Lu Xi, Zhenjun Song|2022|Cryst.Growth Des.|23|612|doi:10.1021/acs.cgd.2c01208
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.cc2d8m1c
title: CCDC 2212812: Experimental Crystal Structure Determination

description: Related Article: Eugeny Ivakhnenko, Vasily Malay, Oleg Demidov, Pavel Knyazev, Nadezhda Makarova, Vladimir Minkin|2022|Org.Biomol.Chem.|21|621|doi:10.1039/D2OB02165J
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.cc2d8m2d
title: CCDC 2212813: Experimental Crystal Structure Determination

description: Related Article: Eugeny Ivakhnenko, Vasily Malay, Oleg Demidov, Pavel Knyazev, Nadezhda Makarova, Vladimir Minkin|2022|Org.Biomol.Chem.|21|621|doi:10.1039/D2OB02165J
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.cc2d8mlx
title: CCDC 2212829: Experimental Crystal Structure Determination

description: Related Article: Eugeny Ivakhnenko, Vasily Malay, Oleg Demidov, Pavel Knyazev, Nadezhda Makarova, Vladimir Minkin|2022|Org.Biomol.Chem.|21|621|doi:10.1039/D2OB02165J
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.cc2d8mmy
title: CCDC 2212830: Experimental Crystal Structure Determination

description: Related Article: Eugeny Ivakhnenko, Vasily Malay, Oleg Demidov, Pavel Knyazev, Nadezhda Makarova, Vladimir Minkin|2022|Org.Biomol.Chem.|21|621|doi:10.1039/D2OB02165J
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.cc2d8mnz
title: CCDC 2212831: Experimental Crystal Structure Determination

description: Related Article: Eugeny Ivakhnenko, Vasily Malay, Oleg Demidov, Pavel Knyazev, Nadezhda Makarova, Vladimir Minkin|2022|Org.Biomol.Chem.|21|621|doi:10.1039/D2OB02165J
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.cc2c5x3l
title: CCDC 2180419: Experimental Crystal Structure Determination

description: Related Article: Krzysztof A. Konieczny, Martin Dračínský, Bartomiej M. Szyja, Ilona Turowska-Tyrk|2022|Cryst.Growth Des.|23|246|doi:10.1021/acs.cgd.2c00975
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.cc2d8rn3
title: CCDC 2212955: Experimental Crystal Structure Determination

description: Related Article: Hoang Yen Nguyen, Thi Minh Chau Tran, Van Ha Nguyen, Pascal Retailleau, Dinh Hung Mac, Thanh Binh Nguyen|2022|Org.Biomol.Chem.|21|503|doi:10.1039/D2OB01898E
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.cc2c5x4m
title: CCDC 2180420: Experimental Crystal Structure Determination

description: Related Article: Krzysztof A. Konieczny, Martin Dračínský, Bartomiej M. Szyja, Ilona Turowska-Tyrk|2022|Cryst.Growth Des.|23|246|doi:10.1021/acs.cgd.2c00975
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.cc2db12w
title: CCDC 2214177: Experimental Crystal Structure Determination

description: Related Article: Tao Ma, Yonghui He, Xiu-Xiu Qiao, Chang-Peng Zou, Xi-Xi Wu, Ganpeng Li, Xiao-Jing Zhao|2022|Org.Biomol.Chem.|21|489|doi:10.1039/D2OB02179J
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.20523222
title: Di_Fiore_et_al_La_Palma_Rheology_Raw_Data

description: The dataset is composed by a set of Cooling Deformation Experiments (CDE) and a set of Isothermal Deformation Experiments (IDE).
DOI: 10.35078/mzddj8
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Teófilo Otoni | Município: Central de Minas

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.5066/p971lb6c
title: Supplemental data and documentation of VS2DH seepage models: Incorporating temperature into seepage loss estimates for a large irrigation canal

description: This USGS data release presents tabular data and a model archive used to estimate seepage rates at 19 locations on the Truckee Canal for the 2018 and 2019 irrigation seasons. This supplemental data release consists of two child items: (1) Model archive of two-dimensional variably saturated heat and flow models (VS2DH) used to examine seepage rates in the Truckee Canal at 19 transect locations (model archive), and (2) ?Tabular data of site locations, sediment and water temperature, and canal head or stage in the Truckee Canal (tabular data). �