cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22337968
title: Scripts de R e dados de Modelos Lineares

description: Modelos Lineares (regressão linear, ANOVA, ANCOVA, teste t, GLM, GLMM, certas formas de "machine learning", etc.) são a base de toda a estatística moderna. Por motivos históricos, eles receberam nomes muito diferentes, dando a impressão de serem coisas muito diferentes, quando na verdade compartilham o mesmo conceito fundamental: como resumir padrões observados em conjuntos de pontos usando apenas uma linha. Com o objetivo de popularizar essa ideia e ajudar usuários de estatística que não têm afinidade com matemática e abstrações, essa página oferece arquivos de apoio usados no curso "Modelos Lineares", disponível no canal de YouTube "P menor que 0,05" (https://www.youtube.com/@pmenorque0057). O curso também tem uma apostila de apoio (https://www.researchgate.net/publication/360792016_Modelos_Lineares_Conceitos_Aplicacoes_Biologicas). <br> O arquivo "Ducke.txt" oferece uma tabela com dados ambientais e de abundâncias de algumas espécies de palmeiras coletados em parcelas padronizadas na Reserva Ducke, Manuas (AM), como parte do Programa de Pesquisa em Biodiversidade (PPBio) do Governo Federal. O arquivo "PalmTraits.txt" oferece dados de algumas características das espécies coletadas. Os demais arquivos oferecem scripts de R com exemplos das diferentes atividades práticas realizadas durante o curso. <br> OBSERVAÇÃO: este não é um curso de R, então o usuário deve ter noções de R para usar os scripts. O objetivo desses scripts não é oferecer códigos eficientes, mas sim códigos o mais "passo a passo" possível para quem está aprendendo, mesmo que isso signifique comandos redundantes. Porém, os scripits são úteis para executar as atividades do curso sem perder muito tempo com programação, para usar com seus própripos dados, ou para estudar programação em R.
DOI: 10.5281/zenodo.7084861
title: Anaphoric Phenomena in Situated dialog: A First Round of Annotations

description: A first release of 500 documents from the multimodal corpus Tell-me-more (Ilinykh et al., 2019) annotated with coreference information according to the ARRAU guidelines (Poesio et al., 2021).
DOI: 10.48518/00015
title: Environmental baseline data in abyssal plain off Minami Torishima based on 18S rRNA gene
DOI: 10.5281/zenodo.7084860
title: Anaphoric Phenomena in Situated dialog: A First Round of Annotations

description: A first release of 500 documents from the multimodal corpus Tell-me-more (Ilinykh et al., 2019) annotated with coreference information according to the ARRAU guidelines (Poesio et al., 2021).
DOI: 10.48518/00013
title: Environmental baseline data in abyssal plain off Minami Torishima based on 16S rRNA gene
DOI: 10.25345/c5v11vw3f
title: MassIVE MSV000091560 - TEDDY Proteomics Discovery Phase Study
title: In this set, we analyzed human plasma samples from The Environmental Determinants of Diabetes in the Young (TEDDY) Study. In total, 2,252 samples from 184 individuals were concatenated into 364 pooled samples from individuals that developed type 1 diabetes or islet autoimmunity without hyperglycemia and their matched controls. Samples were analyzed from the same individuals pre and post-autoimmunity onset paired against controls. Each pooled sample was depleted with MARS abundant protein depletion column (Agilent), digested with trypsin and labeled with 8-plex iTRAQ reagent. Samples were then multiplexed and fractionated into 24 fractions by high-pH reverse-phase chromatography (DOI: 10.1038/s41596-018-0006-9). Each fraction was analyzed by liquid chromatography tandem mass spectrometry.
DOI: 10.25345/c5q81529g
title: MassIVE MSV000091561 - Aspergillus fumigatus LC-MS/MS proteomics
title: LC-MS/MS RAW data for A. fumigatus proteomic samples.
DOI: 10.5281/zenodo.7775153
title: Bangalore Mysore Google News Dataset

description: Bangalore Mysore Google News
DOI: 10.5281/zenodo.7775152
title: Bangalore Mysore Google News Dataset

description: Bangalore Mysore Google News
DOI: 10.17592/001.2022062403
title: Behavioral data on king penguins in Posession Island, 2011

description: Behavioral data of king penguins obtained at breeding colonies in Posession Island, in the summer of 2011.
DOI: 10.17592/001.2022061303
title: DF2021 chronology and Dome Fuji gas data (O2/N2, d15N, CH4) (0 - 207 kyr BP)

description: Precise ice-core chronologies are essential for identifying the timing and duration of polar climatic changes as well as their phasing with the changes in other parts of the globe. However, existing ice-core chronologies beyond the last 60 kyr show relatively large disagreements with each other and with U-Th chronologies of speleothems. Here, we constructed new ice and gas age scales for the Dome Fuji (DF) core (DF2021) over the last 207 kyr by combining a Bayesian dating model and firn densification model, constrained by various types of chronological and glaciological information including new O2/N2 age markers, precise synchronization to other high-quality chronologies (volcanic, cosmogenic, and CH4 signals), and high-resolution d15N of N2 (reflecting past firn thickness). The new chronology is tightly constrained by synchronization to other well-dated records for the last 60 kyr, whereas it is independent from other chronologies for the older period. For the last 60 kyr, the DF2021 chronology agrees with the layer-counted ice core chronologies (GICC05 and a part of WD2014) and U-Th chronologies of speleothems within ~200 years. For the period 60 -130 kyr BP, the timing of all Dansgaard-Oeschger warming events on DF2021 agree with those of corresponding events in the U-Th dated Chinese or European speleothems mostly within 1 kyr (well within 2sigma uncertainty of DF2021). The excellent agreement suggests high accuracy of our chronology, and supports the assumption of negligible phasing between the past local summer solstice insolation and O2/N2 fractionation at bubble close-off (the basis for constructing the O2/N2 age markers). Between 130 and 207 kyr BP (penultimate glacial period), there is a lower degree of similarity between the variations in atmospheric CH4 and speleothem calcite d18O than in the last glacial period, making the age comparison challenging. The comparison of DF2021 with 9 U-Th dates at 7 abrupt events shows the mean difference of -0.2 +- 0.8 kyr, which is within the DF2021 uncertainty (on the order of 1.5 kyr). The DF2021 chronology agrees with the AICC2012 chronology within 2 kyr except between ~103 and 128 kyr BP where AICC2012 is likely too young by up to ~4 kyr. By analyzing the lag between d18O of O2 (d18Oatm) on DF2021 and 65N summer solstice insolation, the relatively large error in AICC2012 is found to originate in three d18Oatm age markers assuming a constant lag, which are off by more than 3 kyr. The phasing between d18Oatm and orbital forcing identified in this study may be useful for future ice core dating, especially where other age constraints are weak or lacking.
DOI: 10.17592/001.2022070101
title: Hydrographic and biogeochemical data in Bowdoin Fjord, northwestern Greenland in 2016/17.

description: Hydrographic and biogeochemical data in Bowdoin Fjord, northwestern Greenland in 2016/17.
DOI: 10.17592/001.2022062101
title: Dome Fuji, Antarctica Core DF2 Dielectric Anisotropy Measurements

description: Dielectric anisotropy data of DF2 ice core were acquired as an indicator of the crystal orientation fabric. We measured dielectric anisotropy at 5 m intervals between the depths of 100 and 2400 m. At each sampling depth, a 1 m long ice core (two 0.5 m sections) was assessed with a 0.02 m step. Each ice core sample was formed into a slab shape with a thickness of 68-79 mm and width of 53-62 mm. We used an open microwave resonator, employing frequencies between 14 and 20 GHz. The open resonator was a semi-confocal type with a flat mirror and a concave mirror having a 250 mm radius of curvature, set 225 mm apart. The Gaussian beam at the sample insertion position between the two mirrors had a half-power diameter of 38 mm. The dielectric anisotropy values were volume-weighted averages within the volume covered by the Gaussian distribution of the beam. Dielectric anisotropy and its standard deviation were determined at intervals of approximately 0.5 m along the core sample, using 23 data points for each interval. The measurements were conducted at temperatures in the range of -30+-1.5 dgreeC in a cold room at the National Institute of Polar Researech, Japan.
DOI: 10.17592/001.2020120901
title: Soil organic carbon sequestration related to soil physical and chemical properties in the high Arctic: Dataset

description: Dataset related to the scientific paper with its name in the Title of the dataset.
DOI: 10.17592/001.2022082025
title: Okhotsk Soya sea ice observation dataset in 2020

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2020, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, and winds) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2020.docx.
DOI: 10.17592/001.2022082024
title: Okhotsk Soya sea ice observation dataset in 2019

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2019, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, and winds) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2019.docx.
DOI: 10.17592/001.2022082022
title: Okhotsk Soya sea ice observation dataset in 2017

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2017, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, and winds) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2017.docx.
DOI: 10.17592/001.2022082023
title: Okhotsk Soya sea ice observation dataset in 2018

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2018, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, and winds) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2018.docx.
DOI: 10.17592/001.2022082021
title: Okhotsk Soya sea ice observation dataset in 2016

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2016, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, and winds) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2016.docx.
DOI: 10.17592/001.2022082020
title: Okhotsk Soya sea ice observation dataset in 2015

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2015, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, winds, and longwave and shortwave radiation) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2015.docx.
DOI: 10.17592/001.2022082019
title: Okhotsk Soya sea ice observation dataset in 2014

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2014, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, winds, and longwave and shortwave radiation) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2014.docx.
DOI: 10.17592/001.2022082017
title: Okhotsk Soya sea ice observation dataset in 2012

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2012, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, winds, and longwave and shortwave radiation) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2012.docx.
DOI: 10.17592/001.2022082018
title: Okhotsk Soya sea ice observation dataset in 2013

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2013, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, winds, and longwave and shortwave radiation) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2013.docx.
DOI: 10.17592/001.2022082016
title: Okhotsk Soya sea ice observation dataset in 2011

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2011, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, and winds) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2011.docx.
DOI: 10.17592/001.2022082015
title: Okhotsk Soya sea ice observation dataset in 2010

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2010, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, and winds) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2010.docx.
DOI: 10.17592/001.2022082013
title: Okhotsk Soya sea ice observation dataset in 2008

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2008, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, winds, and longwave and shortwave radiation) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2008.docx.
DOI: 10.17592/001.2022082014
title: Okhotsk Soya sea ice observation dataset in 2009

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2009, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, winds, and longwave and shortwave radiation) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2009.docx.
DOI: 10.17592/001.2022082012
title: Okhotsk Soya sea ice observation dataset in 2007

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2007, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, winds, and longwave and shortwave radiation) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2007.docx.
DOI: 10.17592/001.2022082011
title: Okhotsk Soya sea ice observation dataset in 2006

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2006, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, winds, and longwave and shortwave radiation) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2006.docx.
DOI: 10.17592/001.2022082010
title: Okhotsk Soya sea ice observation dataset in 2005

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2005, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, winds, and longwave and shortwave radiation) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2005.docx.
DOI: 10.17592/001.2022082008
title: Okhotsk Soya sea ice observation dataset in 2003

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2003, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, winds, and longwave and shortwave radiation) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2003.docx.
DOI: 10.17592/001.2022082009
title: Okhotsk Soya sea ice observation dataset in 2004

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2004, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, winds, and longwave and shortwave radiation) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2004.docx.
DOI: 10.17592/001.2022082007
title: Okhotsk Soya sea ice observation dataset in 2002

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2002, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, winds, and longwave and shortwave radiation) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named "eadme_soya_2002.docx.
DOI: 10.17592/001.2022082006
title: Okhotsk Soya sea ice observation dataset in 2001

description: This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2001, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, and winds) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named Readme_soya_2001.docx.