cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14329732
title: cohort2013_costs from Costs of reproduction under experimental climate change across elevations in the perennial forb <i>Boechera stricta</i>

description: Results of survival analysis using a Cox proportional hazard model, examining longevity as a function of standardized silique length (in mm) and standardized number of failed siliques produced in 2014. ;Hazard ratios and 95% confidence intervals (CI) for the Cox proportional hazard regression of longevity to standardized silique length (in mm) and standardized number of failed siliques produced in 2014 for all five gardens. ;Results for the logistic regression of the probability of reproduction after 2014 as a function of standardized silique length (mm) and standardized number of failed siliques produced in 2014. ;Slopes (β) ± SE for the logistic regression of the probability of reproducing after 2014 to the standardized silique length in 2014 for each garden × treatment combination. ;Slopes (β) ± SE for the logistic regression of the probability of reproducing after 2014 to the standardized number of failed siliques produced in 2014 for each garden × treatment combination.
DOI: 10.6084/m9.figshare.13199918
title: SNP diversity of Morelos maize landraces

description: A SNP dataset in VCF format containing the allele calls of matched Morelos maize landraces conserved ex situ and in situ for 50 years. All details of methods and results can be found in Mclean-Rodriguez et al 2020, Heredity
DOI: 10.6084/m9.figshare.13199918.v1
title: SNP diversity of Morelos maize landraces

description: A SNP dataset in VCF format containing the allele calls of matched Morelos maize landraces conserved ex situ and in situ for 50 years. All details of methods and results can be found in Mclean-Rodriguez et al 2020, Heredity
DOI: 10.6084/m9.figshare.14329741
title: C13 ped. from Costs of reproduction under experimental climate change across elevations in the perennial forb <i>Boechera stricta</i>

description: Results of survival analysis using a Cox proportional hazard model, examining longevity as a function of standardized silique length (in mm) and standardized number of failed siliques produced in 2014. ;Hazard ratios and 95% confidence intervals (CI) for the Cox proportional hazard regression of longevity to standardized silique length (in mm) and standardized number of failed siliques produced in 2014 for all five gardens. ;Results for the logistic regression of the probability of reproduction after 2014 as a function of standardized silique length (mm) and standardized number of failed siliques produced in 2014. ;Slopes (β) ± SE for the logistic regression of the probability of reproducing after 2014 to the standardized silique length in 2014 for each garden × treatment combination. ;Slopes (β) ± SE for the logistic regression of the probability of reproducing after 2014 to the standardized number of failed siliques produced in 2014 for each garden × treatment combination.
DOI: 10.6084/m9.figshare.14329799
title: Changes in phytoplankton and zooplankton density and biomass among different groups

description: Changes in phytoplankton and zooplankton density and biomass among different water samples during various polyculture seasons of bighead carp.
DOI: 10.6084/m9.figshare.14329799.v1
title: Changes in phytoplankton and zooplankton density and biomass among different groups

description: Changes in phytoplankton and zooplankton density and biomass among different water samples during various polyculture seasons of bighead carp.
DOI: 10.6084/m9.figshare.14329850
title: Implementation of a Reading Intervention Program

description: This report seeks to review our findings over two years in which we implemented the Project RED HAT: Reading is Everybody’s Duty, Holistic Approaches and Techniques reading program between 2018 and 2020. It is seldom that school districts evaluate how a newly adopted program may work to impact student outcomes. Therefore, school leaders, teachers and parents lack feedback on the efficacy of intervention programs. A complete and thorough data analysis was conducted on the efficacy of the Project RED HAT. Reading program utilized by approximately 39,000 elementary students in 10 different districts. We begin by describing the district-wide adoption and implementation of a single reading intervention and we then describe how we evaluated this new program using assessment data that were already being collected at the district and division levels.
DOI: 10.5281/zenodo.4637205
title: dblp XML dataset as CSV for Python Data Analysis Library

description: Based on the dblp XML file, this dataset consists on a CSV file that has been extracted using a python script. The dataset can be easily loaded in a Python Data Analysis Library dataframe.
description: https://dblp.uni-trier.de/xml/README.txt
DOI: 10.5281/zenodo.4637204
title: dblp XML dataset as CSV for Python Data Analysis Library

description: Based on the dblp XML file, this dataset consists on a CSV file that has been extracted using a python script. The dataset can be easily loaded in a Python Data Analysis Library dataframe.
description: https://dblp.uni-trier.de/xml/README.txt
DOI: 10.6084/m9.figshare.14329949
title: convolulaceae.rar

description: There are 6 files including 23 annotated Convolvulaceae sequences and 5 data matrixes of plastome.
DOI: 10.6084/m9.figshare.14329949.v1
title: convolulaceae.rar

description: There are 6 files including 23 annotated Convolvulaceae sequences and 5 data matrixes of plastome.
DOI: 10.5281/zenodo.4596406
title: Manually categorized initial training data for open-water–sea-ice–cloud discrimination

description: This data set contains labeled training data for supervised classification of open-water/thin-ice, sea-ice, and cloud pixels from MODIS thermal-infrared satellite data and is created from manual categorization of dimensional reduced and unsupervised clustered co-located Sentinel-1 SAR and MODIS MOD021KM/MYD021KM swaths. All data originates from the Brunt Ice Shelf area in the Antarctic Southeastern Weddell Sea [34degW to 18degW; 73degS to 77degS] resampled to an equi-rectangular grid [445 (rows) x 460 (columns)]. The data is organized as tab-delimited tables per Sentinel-1 reference swath with geolocation (lon/lat) and the compiled predictors for different MODIS swath combinations. This data can be used to retrace the classifier training as described in the reference publication [DOI: https://doi.org/10.5194/tc-15-1551-2021] or used as a basis to create your own classification scheme. Additional information can be found in the provided meta data file.
description: Improved machine-learning-based open-water–sea-ice–cloud discrimination over wintertime Antarctic sea ice using MODIS thermal-infrared imagery [https://doi.org/10.5194/tc-15-1551-2021]
DOI: 10.25919/tkp3-k827
title: Parkes observations for project PX600 semester 2020APRS_35

description: The Galactic Center (GC) is a key target for the radio component of Breakthrough Listen (BL) program. Offering the largest amount of stars in any given direction in the sky, the GC is widely cited as a location believed to harbour advanced civilizations, and it is also the most energetic region in the Milky Way. We aim to conduct BL-GC Survey with Parkes radio telescope for around 350 hours. We will cover the frequency range from 700 MHz to 4 GHz, utilizing the newly installed ultra-wideband receiver. Our team has already leveraged both standard and bespoke tools to construct a flexible software stack to search data for signals of interest. We will look for signals from extraterrestrial intelligence (ETI) by searching for both simple narrow-band signals and complex modulated signals. Along with that, as an ancillary science, we will also search for accelerated pulsars — likely orbiting a supermassive black hole at the centre of the Milky Way Galaxy. Data products produced during this program will also be publically available to engage larger pulsar community
DOI: 10.5281/zenodo.4641712
title: Additional Information to Publication 'Review of Tomography' 2021 Int Mat Rev

description: This entire dataset contains 5 files with additional information related to the Publication: 'Review of Tortuosity: Classical Theory and Modern Methods' by Holzer et al (2021) in Int. Mat. Rev. 1_Table_2.xlsx This file represents the source file for Table 2 (List with empirical tortuosity-porosity (τ−ε)-data from literature) in the publication 'Review of Tortuosity'. The source file contains 2204 tortuosity-porosity (τ−ε) data points from 69 literature references with detailed information for each data point. The source file for table 2 is the basis for Tortuosity-Porosity plots that are contained in Fig. 4 to 11 in the publication 'Review of Tortuosity'. It is also the basis for examples that are presented in chapter 3.3. The excel file is structured into separate sheets for each type of material (SOFC, PEM, Battery, Geology, etc). Column A: nr of dataset, to which it is referred in Table 2 and in the examples or chapter 3.3 Column F: Tortuosity type according to proposed nomenclature Columns H-J: Information on methodology used to determine tortuosity Columns K-M: Information on Material and research field Column P: Effective porosity (on the contiguous part of porosity is used in plots of tortuosity - porosity relationships) Column Q: tortuosity Columns T, U: Additional Information on Microstructure type 2_Table_3 mathematical tortuosity-porosity relationships.docx This file contains an extended version of table 3 (mathematical τ−ε relationships from literature) from the publication 'Review of Tortuosity'. 3_Chapter_4_1_6_Correlative_Tomography.docx This file represents an extended version of chapter 4.1.6 (Correlative Tomography) from the publication 'Review of Tortuosity'. In particular it contains a table and a figure with data from studies on correlative tomography from literature. 4_Table_5 Image Modelling SW.xlsx This file represents an extended version of table 5 (Compilation of SW for 3D Image Processing and Modeling) from the publication 'Review of Tortuosity'. The extended version includes information on the relevant homepages of the SW packages. 5_Chapter_4_5_Porescale_Modelling.docx This file represents an extended version of chapter 4.5 (Pore scale modelling) from the publication 'Review of Tortuosity'. In particular it describes recent examples of pore scale modeling studies in the fields of geoscience and electrochemistry applications
description: Funding: Swiss Federal Office of Energy SFOE: (Grant SI/501792-01, 8100076); Authors Personal Homepages: https://www.zhaw.ch/en/about-us/person/holz/ https://www.zhaw.ch/index.php?id=9118 https://www.researchgate.net/profile/Lorenz_Holzer https://scholar.google.com/citations?hl=de&user=9Wr7IccAAAAJ
DOI: 10.5281/zenodo.4641711
title: Additional Information to Publication 'Review of Tomography' 2021 Int Mat Rev

description: This entire dataset contains 5 files with additional information related to the Publication: 'Review of Tortuosity: Classical Theory and Modern Methods' by Holzer et al (2021) in Int. Mat. Rev. 1_Table_2.xlsx This file represents the source file for Table 2 (List with empirical tortuosity-porosity (τ−ε)-data from literature) in the publication 'Review of Tortuosity'. The source file contains 2204 tortuosity-porosity (τ−ε) data points from 69 literature references with detailed information for each data point. The source file for table 2 is the basis for Tortuosity-Porosity plots that are contained in Fig. 4 to 11 in the publication 'Review of Tortuosity'. It is also the basis for examples that are presented in chapter 3.3. The excel file is structured into separate sheets for each type of material (SOFC, PEM, Battery, Geology, etc). Column A: nr of dataset, to which it is referred in Table 2 and in the examples or chapter 3.3 Column F: Tortuosity type according to proposed nomenclature Columns H-J: Information on methodology used to determine tortuosity Columns K-M: Information on Material and research field Column P: Effective porosity (on the contiguous part of porosity is used in plots of tortuosity - porosity relationships) Column Q: tortuosity Columns T, U: Additional Information on Microstructure type 2_Table_3 mathematical tortuosity-porosity relationships.docx This file contains an extended version of table 3 (mathematical τ−ε relationships from literature) from the publication 'Review of Tortuosity'. 3_Chapter_4_1_6_Correlative_Tomography.docx This file represents an extended version of chapter 4.1.6 (Correlative Tomography) from the publication 'Review of Tortuosity'. In particular it contains a table and a figure with data from studies on correlative tomography from literature. 4_Table_5 Image Modelling SW.xlsx This file represents an extended version of table 5 (Compilation of SW for 3D Image Processing and Modeling) from the publication 'Review of Tortuosity'. The extended version includes information on the relevant homepages of the SW packages. 5_Chapter_4_5_Porescale_Modelling.docx This file represents an extended version of chapter 4.5 (Pore scale modelling) from the publication 'Review of Tortuosity'. In particular it describes recent examples of pore scale modeling studies in the fields of geoscience and electrochemistry applications
description: Funding: Swiss Federal Office of Energy SFOE: (Grant SI/501792-01, 8100076); Authors Personal Homepages: https://www.zhaw.ch/en/about-us/person/holz/ https://www.zhaw.ch/index.php?id=9118 https://www.researchgate.net/profile/Lorenz_Holzer https://scholar.google.com/citations?hl=de&user=9Wr7IccAAAAJ
DOI: 10.6084/m9.figshare.13468833
title: Assessment of greenhouse gas mitigation pathways for Thailand towards achievement of the 2°C and 1.5°C Paris Agreement targets

description: This study performed scenario analysis using the MARKAL modelling framework to assess Thailand’s greenhouse gas (GHG) emission pathways over the period 2010–2050, to explore the possibilities of achieving carbon neutrality of the energy system by 2060–2100, in pursuit of a maximum temperature rise of 2°C and 1.5°C by the end of the century. The shift from 2°C pathways to 1.5°C pathways would demand much more effort and pose greater challenges in terms of transformational changes required in the energy supply and demand sectors of Thailand. Carbon neutrality in the energy supply system would be achievable with negative emissions through the adoption of bioenergy with carbon capture and storage (BECCS). The strong deployment of renewable energy-based power generation would also aid in the rapid decarbonization of the energy supply sector. The demand sectors would face more challenges requiring rapid and extensive deployment of energy efficient and low carbon technologies. The commercial sector may need to undergo deep decarbonization in the 1.5°C scenarios by 2050 while the industrial and residential sectors will need to curb GHG emissions by a large amount even under 2°C scenarios. The transportation sector would face challenges in shifting from private to public modes of transport, including wide adoption of electric and biofuel vehicles, in order to achieve the 1.5°C target. <b>Key Policy insights</b>The attainment of 2°C and 1.5°C targets demand for a wide scale adoption of BECCS in Thailand resulting in negative emissions in the power sector even before 2050.Biomass, solar photovoltaics, and wind power would make up to the largest portion in the total power generation mix of Thailand in the 2°C and 1.5°C scenarios by 2050.Achieving carbon neutrality of the energy system by 2060–2100 is a challenging task for Thailand requiring higher investments and supportive policy actions to promote renewables, carbon capture and storage technologies, and energy efficiency enhancements. The attainment of 2°C and 1.5°C targets demand for a wide scale adoption of BECCS in Thailand resulting in negative emissions in the power sector even before 2050. Biomass, solar photovoltaics, and wind power would make up to the largest portion in the total power generation mix of Thailand in the 2°C and 1.5°C scenarios by 2050. Achieving carbon neutrality of the energy system by 2060–2100 is a challenging task for Thailand requiring higher investments and supportive policy actions to promote renewables, carbon capture and storage technologies, and energy efficiency enhancements.
DOI: 10.21227/0kzc-zp33
title: January-29-Tang-Wenyuan.csv

description: January-29-Tang-Wenyuan.csv
DOI: 10.6084/m9.figshare.14330006
title: Supplementary information

description: Tab. S1. Values of the various factors used in the equations for intake of HMs.......................... 1 Tab. S2. Values of tolerable daily intake (μg day−1 kg−1)...................................................... 2 Tab. S3. Descriptive statistics of average Geoaccumulation index (Igeo), Pollution indices (PI) and Nemerow integrated pollution (PN)................................................................................................................................. 2 Tab. S4. Factor loadings contribution of Principal component analysis (PCA).......................... 3 Tab. S5. Hazard Quotients values of ingestion, dermal absorption and air particles from soils..... 4 Tab. S6. Hazard Quotients values of ingestion, dermal absorption from water........................... 5 Tab. S7. Hazard Quotients values of ingestion from corn and rice........................................... 6 Abbreviations.................................................................................................................... 6 References........................................................................................................................ 8
DOI: 10.6084/m9.figshare.14330006.v1
title: Supplementary information

description: Tab. S1. Values of the various factors used in the equations for intake of HMs.......................... 1 Tab. S2. Values of tolerable daily intake (μg day−1 kg−1)...................................................... 2 Tab. S3. Descriptive statistics of average Geoaccumulation index (Igeo), Pollution indices (PI) and Nemerow integrated pollution (PN)................................................................................................................................. 2 Tab. S4. Factor loadings contribution of Principal component analysis (PCA).......................... 3 Tab. S5. Hazard Quotients values of ingestion, dermal absorption and air particles from soils..... 4 Tab. S6. Hazard Quotients values of ingestion, dermal absorption from water........................... 5 Tab. S7. Hazard Quotients values of ingestion from corn and rice........................................... 6 Abbreviations.................................................................................................................... 6 References........................................................................................................................ 8
DOI: 10.5281/zenodo.4641728
title: Additional file 1

description: National carbon stocks and removals of HWPs for the various countries
DOI: 10.5281/zenodo.4641727
title: Additional file 1

description: National carbon stocks and removals of HWPs for the various countries
DOI: 10.5517/ccdc.csd.cc26xw34
title: CCDC 2053536: Experimental Crystal Structure Determination

description: Related Article: Ceylan Mutlu Balcı, Duygu Palabıyık, Serap Beşli|2021|Inorg.Chim.Acta|521|120317|doi:10.1016/j.ica.2021.120317
DOI: 10.5517/ccdc.csd.cc26xw45
title: CCDC 2053537: Experimental Crystal Structure Determination

description: Related Article: Ceylan Mutlu Balcı, Duygu Palabıyık, Serap Beşli|2021|Inorg.Chim.Acta|521|120317|doi:10.1016/j.ica.2021.120317
DOI: 10.15161/oar.it/73610
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.4641778
title: SciExpeM - 10.5281/zenodo.4641778

description: Ammonia oxidation at high pressure and intermediate temperatures Yu Song, Hamid Hashemi , Jakob Munkholt Christensen , Chun Zou , Paul Marshall , Peter Glarborg
DOI: 10.5281/zenodo.4641777
title: SciExpeM - 10.5281/zenodo.4641778

description: Ammonia oxidation at high pressure and intermediate temperatures Yu Song, Hamid Hashemi , Jakob Munkholt Christensen , Chun Zou , Paul Marshall , Peter Glarborg
DOI: 10.5517/ccdc.csd.cc243h4x
title: CCDC 1969558: Experimental Crystal Structure Determination

description: Related Article: Priyanka R. Sarker, Nikhil C. Bhoumik, Graeme Hogarth, Shishir Ghosh, Shamsun Naher, Jagodish C. Sarker|2021|J.Organomet.Chem.|940|121772|doi:10.1016/j.jorganchem.2021.121772
DOI: 10.5517/ccdc.csd.cc243h5y
title: CCDC 1969559: Experimental Crystal Structure Determination

description: Related Article: Priyanka R. Sarker, Nikhil C. Bhoumik, Graeme Hogarth, Shishir Ghosh, Shamsun Naher, Jagodish C. Sarker|2021|J.Organomet.Chem.|940|121772|doi:10.1016/j.jorganchem.2021.121772
DOI: 10.5517/ccdc.csd.cc24l1sl
title: CCDC 1983559: Experimental Crystal Structure Determination

description: Related Article: Priyanka R. Sarker, Nikhil C. Bhoumik, Graeme Hogarth, Shishir Ghosh, Shamsun Naher, Jagodish C. Sarker|2021|J.Organomet.Chem.|940|121772|doi:10.1016/j.jorganchem.2021.121772
DOI: 10.5517/ccdc.csd.cc268cc7
title: CCDC 2033828: Experimental Crystal Structure Determination

description: Related Article: Chengsen Cui, Brendan G. Dwyer, Chang Liu, Daniel Abegg, Zhong-Jian Cai, Dominic G. Hoch, Xianglin Yin, Nan Qiu, Jie-Qing Liu, Alexander Adibekian, Mingji Dai|2021|J.Am.Chem.Soc.|143|4379|doi:10.1021/jacs.1c00557
DOI: 10.5517/ccdc.csd.cc1p9x85
title: CCDC 1558657: Experimental Crystal Structure Determination

description: Related Article: Achutha Dileep Kumar, Hamse Kameshwar Vivek, Bharath Srinivasan, Shivalingegowda Naveen, Karthik Kumara, Neratur Krishnappagowda Lokanath, Kullaiah Byrappa, Kariyappa Ajay Kumar|2021|J.Mol.Struct.|1235|130271|doi:10.1016/j.molstruc.2021.130271
DOI: 10.5517/ccdc.csd.cc26mhkx
title: CCDC 2044529: Experimental Crystal Structure Determination

description: Related Article: Partha S. Roy, Md. Abdullah A. Mamun Roknuzzaman, Shishir Ghosh, Shariff E. Kabir|2021|J.Indian Chem.Soc.|98|100023|doi:10.1016/j.jics.2021.100023
DOI: 10.5517/ccdc.csd.cc26nsc1
title: CCDC 2045763: Experimental Crystal Structure Determination

description: Related Article: Partha S. Roy, Md. Abdullah A. Mamun Roknuzzaman, Shishir Ghosh, Shariff E. Kabir|2021|J.Indian Chem.Soc.|98|100023|doi:10.1016/j.jics.2021.100023
DOI: 10.5517/ccdc.csd.cc2703v7
title: CCDC 2055698: Experimental Crystal Structure Determination

description: Related Article: Chengsen Cui, Brendan G. Dwyer, Chang Liu, Daniel Abegg, Zhong-Jian Cai, Dominic G. Hoch, Xianglin Yin, Nan Qiu, Jie-Qing Liu, Alexander Adibekian, Mingji Dai|2021|J.Am.Chem.Soc.|143|4379|doi:10.1021/jacs.1c00557
DOI: 10.5517/ccdc.csd.cc272ys2
title: CCDC 2058424: Experimental Crystal Structure Determination

description: Related Article: Okan Ucar, Anita M. Grześkiewicz, Christina Banti, Sotiris K. Hadjikakou, Ibrahim I. Ozturk|2021|J.Mol.Struct.|1235|130270|doi:10.1016/j.molstruc.2021.130270
DOI: 10.5517/ccdc.csd.cc272yt3
title: CCDC 2058425: Experimental Crystal Structure Determination

description: Related Article: Okan Ucar, Anita M. Grześkiewicz, Christina Banti, Sotiris K. Hadjikakou, Ibrahim I. Ozturk|2021|J.Mol.Struct.|1235|130270|doi:10.1016/j.molstruc.2021.130270
DOI: 10.5517/ccdc.csd.cc272yv4
title: CCDC 2058426: Experimental Crystal Structure Determination

description: Related Article: Okan Ucar, Anita M. Grześkiewicz, Christina Banti, Sotiris K. Hadjikakou, Ibrahim I. Ozturk|2021|J.Mol.Struct.|1235|130270|doi:10.1016/j.molstruc.2021.130270