cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6656502
title: MateusRQ/Flora-ameacada-do-RS-compilada: Flora ameacada do RS compilada

description: Compilação das listas estadual (Dec. RS 52.109/2004), federal (Portaria MMA 148/2022, 443/2014, IN MMA 06/2008) e da IUCN das espécies vegetais ameaçadas de extinção no estado do Rio Grande do Sul, Brasil. Consta ainda a lista de plantas exóticas invasoras no RS (Portaria SEMA-RS 79/2013) A primeira versão desse arquivo foi elaborada em 2017/2018 em ocasião de estágio extracurricular na Divisão de Flora da Secretaria Estadual do Meio Ambiente do Rio Grande do Sul (SEMA-RS), sob orientação do analista ambiental Leonardo Marques Urruth. Desde então tem circulado internamente, sem estar em nenhuma base de dados de livre acesso, sendo bastante útil para pesquisas rápidas do status de ameaçada e outras informações das espécies vegetais ameaçadas de extinção no RS, compilando dados de listas oficiais dos diferentes níveis. Além da pesquisa por uma espécies em particular, os filtros do excel permitem a observação de dados a partir de diferentes agrupamentos, o que pode ser útil para diferentes objetivos. Em 2022, com a publicação da atualização da lista federal, pela Portaria do Ministério do Meio Ambiente (MMA) n° 148/2022, o documento foi atualizado e acrescido dos status de conservação listados pela IUCN, gerando esta versão "1.2.0". Conteúdo: Na primeira aba consta a compilação da lista estadual, da lista federal e da IUCN, com informações taxonômicas e de hábito de vida. A segunda aba apresenta a atual liste federal (MMA 148/2022) completa, com grifos nas espécies presentes na lista estadual ou com ocorrência registrada no RS. A terceira aba apresenta a lista federal anterior (MMA 443/2014) com os mesmos grifos e mais observações sobre a IN MMA 06/2008. Essas informações foram mantidas após a atualização do documento a título de curiosidade e comparação com a lista atual supracitada. A quarta aba apresenta a lista das espécies na redlist da IUCN que não foram registradas na lista estadual ou na federal. Na quinta e ultima aba acrescentei a lista de espécies vegetais exóticas invasoras no RS (Portaria SEMA-RS 79/2013). Todas as referências usadas constam no corpo do arquivo. Possíveis inconsistências no cruzamento de informações entre as listas podem se dever a mudanças na nomenclatura taxonômica, que foi observada e corrigida em muitos casos, mas provavelmente não em todos. Erros dessa e qualquer outra natureza, além de qualquer dúvida, podem ser reportados para mateusraguse@hotmail.com para serem corrigidos ou respondidas. Espero que o arquivo possa ser útil para todos interessados assim como tem sido para mim. Mateus Raguse-Quadros
DOI: 10.6084/m9.figshare.20286813
title: Pré-planejamento de comunicação para a campanha política de Apolo Heringer Lisboa: candidato a deputado federal pelo Partido Verde em 2022

description: Planejamento completo de comunicação, elaborado especialmente para o candidato a deputado federal pelo Partido Verde em 2022, prof. Apolo Heringer Lisboa.
DOI: 10.6084/m9.figshare.20286813.v1
title: Pré-planejamento de comunicação para a campanha política de Apolo Heringer Lisboa: candidato a deputado federal pelo Partido Verde em 2022

description: Planejamento completo de comunicação, elaborado especialmente para o candidato a deputado federal pelo Partido Verde em 2022, prof. Apolo Heringer Lisboa.
DOI: 10.6084/m9.figshare.20286810
title: Considerações preliminares sobre a pesquisa do DOXA Instituto de Pesquisa

description: Considerações preliminares sobre a pesquisa do DOXA Instituto de Pesquisa, realizada durante o primeiro semestre de 2021. No texto, estão comentários e reflexões a respeito dos resultados observados em relação aos aspectos de obras e serviços urbanos e outros temas relacionados que são importantes.
DOI: 10.6084/m9.figshare.20286810.v1
title: Considerações preliminares sobre a pesquisa do DOXA Instituto de Pesquisa

description: Considerações preliminares sobre a pesquisa do DOXA Instituto de Pesquisa, realizada durante o primeiro semestre de 2021. No texto, estão comentários e reflexões a respeito dos resultados observados em relação aos aspectos de obras e serviços urbanos e outros temas relacionados que são importantes.
DOI: 10.6084/m9.figshare.12406238
title: Prebiotic data

description: Data
DOI: 10.6084/m9.figshare.12406238.v1
title: Prebiotic data

description: Data
DOI: 10.5281/zenodo.6799651
title: Perron_et_al_2022_Supplementary_Datasets

description: Supplementary datasets for Perron et al.: "A map of RBP-miRNA regulatory connections for deciphering the mechanisms of transcriptome remodeling in cancer ".
DOI: 10.5281/zenodo.6799603
title: Perron_et_al_2022_Supplementary_Datasets

description: Supplementary datasets for Perron et al.: "A map of RBP-miRNA regulatory connections for deciphering the mechanisms of transcriptome remodeling in cancer ".
DOI: 10.6084/m9.figshare.20029414
title: An Invitation to Sequential Monte Carlo Samplers

description: Statisticians often use Monte Carlo methods to approximate probability distributions, primarily with Markov chain Monte Carlo and importance sampling. Sequential Monte Carlo samplers are a class of algorithms that combine both techniques to approximate distributions of interest and their normalizing constants. These samplers originate from particle filtering for state space models and have become general and scalable sampling techniques. This article describes sequential Monte Carlo samplers and their possible implementations, arguing that they remain under-used in statistics, despite their ability to perform sequential inference and to leverage parallel processing resources among other potential benefits. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.20029414.v2
title: An Invitation to Sequential Monte Carlo Samplers

description: Statisticians often use Monte Carlo methods to approximate probability distributions, primarily with Markov chain Monte Carlo and importance sampling. Sequential Monte Carlo samplers are a class of algorithms that combine both techniques to approximate distributions of interest and their normalizing constants. These samplers originate from particle filtering for state space models and have become general and scalable sampling techniques. This article describes sequential Monte Carlo samplers and their possible implementations, arguing that they remain under-used in statistics, despite their ability to perform sequential inference and to leverage parallel processing resources among other potential benefits. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.20029414.v1
title: An invitation to sequential Monte Carlo samplers*

description: Statisticians often use Monte Carlo methods to approximate probability distributions, primarily with Markov chain Monte Carlo and importance sampling. Sequential Monte Carlo samplers are a class of algorithms that combine both techniques to approximate distributions of interest and their normalizing constants. These samplers originate from particle filtering for state space models and have become general and scalable sampling techniques. This article describes sequential Monte Carlo samplers and their possible implementations, arguing that they remain under-used in statistics, despite their ability to perform sequential inference and to leverage parallel processing resources among other potential benefits.
DOI: 10.6073/pasta/da471dec2b35e3045a72c10661649d09
title: Data to explore circular manureshed management in beef supply chains of the United States and western Canada

description: Circular management of beef supply chains holds great promise for improving sustainability from grazing agroecosystem to dinner plate. In the United States and Canada, one approach to circularity entails transporting manure nutrients from cattle produced in feedlots back to the grazing agroecosystems where they originated to enrich haylands for further grazing cattle production. We provide data to assess this strategy centered around three grazing agroecosystems: Florida, New Mexico, and the provincial assemblage of Manitoba, Saskatchewan, Alberta, British Columbia. We describe four datasets that can be used to estimate the potential nutrient utilization of hay fed to grazing cattle in the three grazing agroecosystems and the magnitudes of feedlot manure nutrients available for transport back to them. We found that although biogeography and management differ among the three grazing agroecosystems, the hay allocated for grazing cattle represented approximately 65% of the total harvested hay produced per agroecosystem after accounting for harvest losses, and that on average all three areas exported about 450,000 cattle annually for feedlot, pasture, and slaughter to states across the US. Although we highlight only three grazingland settings, our approach relies on methods that could ultimately be scaled nationally and internationally, with applicability to other animal industries for which circular management is an aspiration for sustainability outcomes.
DOI: 10.5281/zenodo.6811234
title: Aerial Segmentation Dataset

description: Contains 277 aerial images (extracted from Bing Maps) and their corresponding aerial segmentation (binary and colored). Segmentation is built automatically from segmentation data downloaded from OpenStreeMaps. Data was downloaded from 4 cities in the US, 4 in Europe, 1 in Latin America, and 8 rural areas in the US, totalling 277 pairs of images (251 urban, 26 rural), each 1280x1280 pixels. In total, there are 13 classes (building, water, natural, highway, park, dirt road, tree, beach, parking, construction, industrial, footway and grass). The datasheet for this dataset is also provided, according to the instructions by Gebru, T., Morgenstern, J., Vecchione, B., Vaughan, J. W., Wallach, H., Iii, H. D., & Crawford, K. (2021). Datasheets for datasets. Communications of the ACM, 64(12), 86-92. For more information, please refer to the PDF file.<br>
DOI: 10.5281/zenodo.4927665
title: Aerial Segmentation Dataset

description: Contains 277 aerial images (extracted from Bing Maps) and their corresponding aerial segmentation (binary and colored). Segmentation is built automatically from segmentation data downloaded from OpenStreeMaps. Data was downloaded from 4 cities in the US, 4 in Europe, 1 in Latin America, and 8 rural areas in the US, totalling 277 pairs of images (251 urban, 26 rural), each 1280x1280 pixels. In total, there are 13 classes (building, water, natural, highway, park, dirt road, tree, beach, parking, construction, industrial, footway and grass). The datasheet for this dataset is also provided, according to the instructions by Gebru, T., Morgenstern, J., Vecchione, B., Vaughan, J. W., Wallach, H., Iii, H. D., & Crawford, K. (2021). Datasheets for datasets. Communications of the ACM, 64(12), 86-92. For more information, please refer to the PDF file.<br>
DOI: 10.6073/pasta/57f8d5c0dd574416a65916daa26c7154
title: Bioerosion on Fungia pieces and coral recruits, calcification and settlement data on Palmyra Atoll reef.

description: Coral recruitment and calcium carbonate (CaCO₃) accretion are fundamental processes that help maintain coral reefs. Many reefs worldwide have experienced degradation, including a decrease in coral cover and biodiversity. Successful coral recruitment helps degraded reefs to recover, while CaCO₃ accretion by early successional benthic organisms maintains the topographic complexity of a coral reef system. It is therefore important to understand the processes that affect coral recruitment and CaCO₃ accretion rates in order to understand how coral reefs recover from disturbances. The aim of this thesis was to determine how biophysical forcing factors affect coral recruitment, calcification and bioerosion on a pristine coral reef.
DOI: 10.6084/m9.figshare.20286678
title: Assemblies of eustigmatophyte genomes

description: This folder contains assemblies of Illumina reads obtained from cultures of the following five eustigmatophyte algae: <br> Neustupella aerophytica CAUP Q 801 Lietzensia polymorpha SAG 2217 Lietzensia polymorpha SAG 2220 Chlorobotrys sp. FD2 Characiopsis acuta ACOI 456 Eustigmatophyceae sp. Wtwin 8/9 T-6m6.8 <br> The generation of the assemblies is described in Barcytė et al., 2022, Redefining Chlorobotryaceae as one of the principal and most diverse lineages of eustigmatophyte algae (Molecular Phylogenetics and Evolution, under review). Please cite the paper when using the data.
DOI: 10.6084/m9.figshare.16960855
title: The RETA Benchmark for Retinal Vascular Tree Analysis

description: Topological and geometrical analysis of retinal blood vessels could be a cost-effective way to detect various common diseases. Automated vessel segmentation and vascular tree analysis models require powerful generalization capability in clinical applications. In this work, we constructed a novel benchmark RETA with 81 labelled vessel masks aiming to facilitate retinal vessel analysis. A semi-automated coarse-to-fine workflow was proposed for vessel annotation task. During database construction, we strived to control inter-annotator and intra-annotator variability by means of multi-stage annotation and label disambiguation on self-developed dedicated software. In addition to binary vessel masks, we obtained other types of annotations including artery/vein masks, vascular skeletons, bifurcations, trees and abnormalities. Subjective and objective quality validations of the annotated vessel masks demonstrated significantly improved quality over the existing open datasets. Our annotation software is also made publicly available serving the purpose of pixel-level vessel visualization. Researchers could develop vessel segmentation algorithms and evaluate segmentation performance using RETA. Moreover, it might promote the study of cross-modality tubular structure segmentation and analysis. <br> Our website: https://www.reta-benchmark.org<br>
DOI: 10.7931/k9wn-1877
title: NZFlora Brownsey & Perrie 2022 Thelypteridaceae
DOI: 10.6084/m9.figshare.20286723
title: Sequence alignments

description: Multiple sequence alignments used for generating phylogenetic trees reported in Barcytė et al., 2022, Redefining Chlorobotryaceae as one of the principal and most diverse lineages of eustigmatophyte algae (Molecular Phylogenetics and Evolution, under review).
DOI: 10.5066/p9h1pix3
title: Harmonizing wetland soil organic carbon datasets to improve spatial representation of 2011 soil carbon stocks in the conterminous United States

description: These datasets represent a revised national scale estimate of wetland soil carbon stock assessments by improving representation of soil organic carbon densities. This assessment is based on a three-step approach to harmonize survey and point-based data for predicting soil organic carbon density from percent organic carbon alone (or percent organic matter, with conversion), when reliable dry bulk density information is not available. Given issues with survey-level extrapolation of soil pedons into discontinuous hydric soils, quantile, segmented data analysis provides a more accurate spatially explicit soil organic carbon density product. These modeled data leverage spatial and statistical distributions of soil organic carbon percent data of the conterminous United States (CONUS) for two national-scale soil datasets: a wetland-specific field campaign, the EPA National Wetland Condition Assessment, and the USDA NRCS SSURGO survey. See https://doi.org/10.3389/fsoil.2021.706701 for details.
DOI: 10.5517/ccdc.csd.cc29kw2v
title: CCDC 2132337: Experimental Crystal Structure Determination

description: Related Article: Li Yan, Zhongkui Li, Yan Xiong, Xue Zhong, Shaochun Peng, Hui Li|2022|New J.Chem.|46|12910|doi:10.1039/D2NJ01686A
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.cc2btl70
title: CCDC 2169542: Experimental Crystal Structure Determination

description: Related Article: Piotr Matczak, Stephan Kupfer, Grzegorz Mlostoń, Philipp Buday, Helmar Görls, Wolfgang Weigand|2022|New J.Chem.|46|12924|doi:10.1039/D2NJ01315K
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.6800072
title: The use of GRDC gauging stations for calibrating large-scale hydrological models

description: The Global Runoff Data Centre provides time series of observed discharges that are very valuable for calibrating and validating the results of hydrological models. We address a common issue in large-scale hydrology which, though investigated several times, has not been satisfactorily solved. Grid-based hydrological models need to fit the reported station location to the river network depending on the resolution, to compare simulated discharge with observed discharge. We introduce an Intersection over Union ratio approach to selected station locations on a coarser grid scale, reducing the errors in assigning stations to the wrong basin. We update the 10-year-old database of watershed boundaries with additional stations based on a high-resolution (3 arcseconds) river network, and we provide source codes and high- and low-resolution watershed boundaries.
description: We address an annoying problem every grid-based hydrological model must solve to compare simulated with observed river discharge. First, station locations do not fit with the high-res river network. We updated the database with stations based on a new high-res network. Second, station locations do not work with a coarser grid-based river network. We use a new concept of basin-shape similarity for station locations on a coarser grid, reducing the error in assigning stations to the wrong basin.
DOI: 10.6073/pasta/ac689eb0056842c6cba4f5258562b502
title: Climate data for Mojave National Preserve Granite Mountains 2019

description: Basic climate data derived from a local weather station. Mean and max temp with humidity relevant to avian abundance surveys conducted at that location during those specific time blocks.
DOI: 10.5517/ccdc.csd.cc2bmkp7
title: CCDC 2163759: Experimental Crystal Structure Determination

description: Related Article: Adhir Majumder, Rajat Naskar, Shankab J. Phukan, Ramananda Maity|2022|New J.Chem.|46|13075|doi:10.1039/D2NJ01852G
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.cc2bkdy8
title: CCDC 2161690: Experimental Crystal Structure Determination

description: Related Article: Tunde Lewis Yusuf, Damilola Caleb Akintayo, Segun Daniel Oladipo, Adesola Abimbola Adeleke, Kolawole Olofinsan, Banele Vatsha, Nonhlagabezo Mabuba|2022|New J.Chem.|46|12968|doi:10.1039/D2NJ01477G
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.cc2bkf0c
title: CCDC 2161692: Experimental Crystal Structure Determination

description: Related Article: Tunde Lewis Yusuf, Damilola Caleb Akintayo, Segun Daniel Oladipo, Adesola Abimbola Adeleke, Kolawole Olofinsan, Banele Vatsha, Nonhlagabezo Mabuba|2022|New J.Chem.|46|12968|doi:10.1039/D2NJ01477G
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.cc2c7pnz
title: CCDC 2182141: Experimental Crystal Structure Determination

description: Related Article: I.A.Litvinov, F.S.Levinson, B.I.Buzykin, A.T.Gubaidullin, E.A.Ermolaeva|2005|Butlerovskie soobshcheniya|6|23|
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.cc2c7pp0
title: CCDC 2182142: Experimental Crystal Structure Determination

description: Related Article: I.A.Litvinov, F.S.Levinson, B.I.Buzykin, A.T.Gubaidullin, E.A.Ermolaeva|2005|Butlerovskie soobshcheniya|6|23|
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.cc2bvdcz
title: CCDC 2170321: Experimental Crystal Structure Determination

description: Related Article: E. Bosch, N.P. Bowling|2022|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|78|424|doi:10.1107/S2053229622006635
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.cc2bvdd0
title: CCDC 2170322: Experimental Crystal Structure Determination

description: Related Article: E. Bosch, N.P. Bowling|2022|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|78|424|doi:10.1107/S2053229622006635
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.cc2bvdf1
title: CCDC 2170323: Experimental Crystal Structure Determination

description: Related Article: E. Bosch, N.P. Bowling|2022|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|78|424|doi:10.1107/S2053229622006635
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.16974298
title: Miller et al Neophobia and innovation in Critically Endangered Bali myna

description: Full corresponding data set, plus R script for neophobia question 1 analysis.
DOI: 10.6084/m9.figshare.16974298.v1
title: Miller et al Neophobia and innovation in Critically Endangered Bali myna

description: Full corresponding data set, plus R script for neophobia question 1 analysis.