cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7655210
title: 3D Models of Devil's Throat and Twin Pits Pit Craters

description: 3D models of Devil's Throat and Twin Pits pit craters in Hawai'i Volcanoes National Park, from 2017 and 2022. Estimated absolute positional accuracy is ~40 m, and estimated vertical orientation certainty is ±~7°.
DOI: 10.5281/zenodo.7655209
title: 3D Models of Devil's Throat and Twin Pits Pit Craters

description: 3D models of Devil's Throat and Twin Pits pit craters in Hawai'i Volcanoes National Park, from 2017 and 2022. Estimated absolute positional accuracy is ~40 m, and estimated vertical orientation certainty is ±~7°.
DOI: 10.5281/zenodo.7382729
title: Adsorption of the WT, delta and omicron variants onto hydrophobic and hydrophilic surfaces

description: Adsorption of the WT, delta and omicron variants onto hydrophobic and hydrophilic surfaces. This contains 3 replicas of each.
DOI: 10.5281/zenodo.7382730
title: Adsorption of the WT, delta and omicron variants onto hydrophobic and hydrophilic surfaces

description: Adsorption of the WT, delta and omicron variants onto hydrophobic and hydrophilic surfaces. This contains 3 replicas of each.
DOI: 10.5281/zenodo.7659174
title: Adsorption of the WT, delta and omicron variants onto hydrophobic and hydrophilic surfaces

description: Adsorption of the WT, delta and omicron variants onto hydrophobic and hydrophilic surfaces. This contains 3 replicas of each.
DOI: 10.5281/zenodo.7659081
title: ECRC DARE HPC Solver Dataset

description: Dataset for https://github.com/ecrc/dare
DOI: 10.5281/zenodo.7659080
title: ECRC DARE HPC Solver Dataset

description: Dataset for https://github.com/ecrc/dare
DOI: 10.5281/zenodo.7659175
title: Precise predictions and new insights for atomic ionization from the Migdal effect

description: Probabilities for atomic ionisation via the Migdal effect using Dirac-Hartee-Fock wavefunctions. Dataset accompanies the publication P. Cox, M. J. Dolan, C. McCabe, H. M. Quiney, <em>Precise predictions and new insights for atomic ionization from the Migdal effect</em>, Phys. Rev. D (2023).
DOI: 10.5281/zenodo.7659176
title: Precise predictions and new insights for atomic ionization from the Migdal effect

description: Probabilities for atomic ionisation via the Migdal effect using Dirac-Hartee-Fock wavefunctions. Dataset accompanies the publication P. Cox, M. J. Dolan, C. McCabe, H. M. Quiney, <em>Precise predictions and new insights for atomic ionization from the Migdal effect</em>, Phys. Rev. D (2023).
DOI: 10.5281/zenodo.7659113
title: Case data: modeling spatial determinants of sugarcane abandonment in Rio de Janeiro

description: This repository encompasses datasets for modeling spatial determinants of sugarcane abandonment in Rio de Janeiro, Brazil. Data includes previously published datasets and other publicly available data. Sugarcane mapping datasets should be referred to as outcomes from publication: https://doi.org/10.1016/j.rse.2022.113194 and might be used freely. The other datasets come from secondary sources and might be used for reproducibility. Further uses depend on the original data source policy. MSWEP data is released under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. Please get in touch with the authors if you are affiliated with a commercial entity and want to try MSWEP. If you do not have a commercial affiliation and you intend to use the product for non-commercial purposes, please send the authors a request using the form on MSEP webpage: http://www.gloh2o.org/mswep/
DOI: 10.5281/zenodo.7659112
title: Case data: modeling spatial determinants of sugarcane abandonment in Rio de Janeiro

description: This repository encompasses datasets for modeling spatial determinants of sugarcane abandonment in Rio de Janeiro, Brazil. Data includes previously published datasets and other publicly available data. Sugarcane mapping datasets should be referred to as outcomes from publication: https://doi.org/10.1016/j.rse.2022.113194 and might be used freely. The other datasets come from secondary sources and might be used for reproducibility. Further uses depend on the original data source policy. MSWEP data is released under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. Please get in touch with the authors if you are affiliated with a commercial entity and want to try MSWEP. If you do not have a commercial affiliation and you intend to use the product for non-commercial purposes, please send the authors a request using the form on MSEP webpage: http://www.gloh2o.org/mswep/
DOI: 10.5517/ccdc.csd.cc20k6c5
title: CCDC 1863576: Experimental Crystal Structure Determination

description: Related Article: Fatemeh Rahimi, Mohammad Bayat, Fahimeh Sadat Hosseini, Anna Kozakiewicz|2019|Heliyon|5|e01456|doi:10.1016/j.heliyon.2019.e01456
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.cc29m5ty
title: CCDC 2133600: Experimental Crystal Structure Determination

description: Related Article: Pramila Selvanathan, Elsa Tufenkjian, Olivier Galangau, Thierry Roisnel, François Riobé, Olivier Maury, Lucie Norel, Stéphane Rigaut|2023|Inorg.Chem.|62|2049|doi:10.1021/acs.inorgchem.2c03628
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.cc29m5vz
title: CCDC 2133601: Experimental Crystal Structure Determination

description: Related Article: Pramila Selvanathan, Elsa Tufenkjian, Olivier Galangau, Thierry Roisnel, François Riobé, Olivier Maury, Lucie Norel, Stéphane Rigaut|2023|Inorg.Chem.|62|2049|doi:10.1021/acs.inorgchem.2c03628
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: 10.34740/kaggle/dsv/5034834
title: OntoUML/UFO Catalog
DOI: 10.6084/m9.figshare.22130177
title: Gone with the wind: Negative genetic and progeny fitness consequences of habitat fragmentation in the wind pollinated dioecious tree Brosimum alicastrum

description: Habitat fragmentation negatively affects population size and mating patterns that directly impact progeny fitness and genetic diversity; however, little is known about the effects of habitat fragmentation on dioecious, wind pollinated trees. We assessed the effects of habitat fragmentation on population sex ratios, genetic diversity, gene flow, mating patterns and early progeny vigor in the tropical dioecious tree, <em>Brosimum alicastrum.</em> We conducted our study in three continuous and three fragmented forest sites in a Mexican tropical dry forest. We used eight microsatellite loci to characterize and compare the genetic diversity, gene flow via pollen distances and mean relatedness of progeny. We compared early progeny vigor parameters of seedlings growing under greenhouse conditions. Sex ratios did not deviate from 1:1 between habitat conditions, except for one population in a fragmented habitat, which was female biased. The genetic diversity of adult trees and their offspring was similar in both habitat conditions. Pollen gene flow distances were similar across habitat types; however, paternity correlations were greater in fragmented than in continuous habitats. Germination rates did not differ between habitat conditions; however, progeny from fragmented habitats produced fewer leaves and had a lower foliar area, total height, and total dry biomass than progeny from continuous habitats. Our results suggest that changes in mating patterns, as a consequence of habitat fragmentation, have negative effects on early progeny vigor. We conclude that negative habitat fragmentation effects on mating patterns and early progeny vigor may be a serious threat to the long-term persistence of tropical dioecious trees.
DOI: 10.5281/zenodo.4138822
title: Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling

description: This repository contains the dataset and the R script of the lake ecological model linked to the following publication: Article title: Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling Journal title: Water Research Article Number: 116681 Abstract: In temperate lakes, it is generally assumed that light rather than temperature constrains phytoplankton growth in winter. Rapid winter warming and increasing observations of winter blooms warrant more investigation of these controls. We investigated the mechanisms regulating a massive winter diatom bloom in a temperate lake. High frequency data and process-based lake modeling demonstrated that phytoplankton growth in winter was dually controlled by light and temperature, rather than by light alone. Water temperature played a further indirect role in initiating the bloom through ice-thaw, which increased light exposure. The bloom was ultimately terminated by silicon limitation and sedimentation. These mechanisms differ from those typically responsible for spring diatom blooms and contributed to the high peak biomass. Our findings show that phytoplankton growth in winter is more sensitive to temperature, and consequently to climate change, than previously assumed. This has implications for nutrient cycling and seasonal succession of lake phytoplankton communities. The present study exemplifies the strength in integrating data analysis with different temporal resolutions and lake modeling. The new lake ecological model serves as an effective tool in analyzing and predicting winter phytoplankton dynamics for temperate lakes.
description: {"references": ["Kong et al. Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling. Water Research, 2021, 116681"]}
DOI: 10.5281/zenodo.4138821
title: Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling

description: This repository contains the dataset and the R script of the lake ecological model linked to the following publication: Article title: Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling Journal title: Water Research Article Number: 116681 Abstract: In temperate lakes, it is generally assumed that light rather than temperature constrains phytoplankton growth in winter. Rapid winter warming and increasing observations of winter blooms warrant more investigation of these controls. We investigated the mechanisms regulating a massive winter diatom bloom in a temperate lake. High frequency data and process-based lake modeling demonstrated that phytoplankton growth in winter was dually controlled by light and temperature, rather than by light alone. Water temperature played a further indirect role in initiating the bloom through ice-thaw, which increased light exposure. The bloom was ultimately terminated by silicon limitation and sedimentation. These mechanisms differ from those typically responsible for spring diatom blooms and contributed to the high peak biomass. Our findings show that phytoplankton growth in winter is more sensitive to temperature, and consequently to climate change, than previously assumed. This has implications for nutrient cycling and seasonal succession of lake phytoplankton communities. The present study exemplifies the strength in integrating data analysis with different temporal resolutions and lake modeling. The new lake ecological model serves as an effective tool in analyzing and predicting winter phytoplankton dynamics for temperate lakes.
description: {"references": ["Kong et al. Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling. Water Research, 2021, 116681"]}
DOI: 10.5281/zenodo.7659046
title: gnomAD polymorphism and de novo mutation data for analysis of mutation rates in highly mutable gene classes

description: We analyze the human mutation rate in three gene classes (IGK, RNU, and tRNA) which deviate from the expectations of a mutation rate model. We examine the distribution of allele frequencies for SNVs within these genes and we analyze the counts of de novo mutations stratified by whether the SNV was observed or not. {CHR}_IGK_SFS_v2_denovo.gz: allele frequencies, mutation rate estimates, and whether the de novo mutation was observed for IGK, RNU, and tRNA genes. Based on gnomAD v3. {CHR}_indiv_mu.csv: quality information for variants in these gene classes from the 1kg subset of gnomAD. "CHR", "POS", "REF", "ALT", "FILTER", "AC", "AN", "MQRankSum", "pab_max", "VQSLOD", "AB", "PN", "MR", "AR", "MG", "MC", "QUAL" all_variants_chr21_mu_h.csv.gz: all variants from chromosome 21 to use for comparing allele frequencies to those in our gene classes. 21_indiv_mu_all.csv.gz: quality information from all variants on chromosome 21 from the 1kg subset of gnomAD to use for comparison with gene classes. "CHR", "POS", "REF", "ALT", "FILTER", "AC", "AN", "MQRankSum", "pab_max", "VQSLOD", "AB", "PN", "MR", "AR", "MG", "MC", "QUAL"
DOI: 10.5281/zenodo.7659045
title: gnomAD polymorphism and de novo mutation data for analysis of mutation rates in highly mutable gene classes

description: We analyze the human mutation rate in three gene classes (IGK, RNU, and tRNA) which deviate from the expectations of a mutation rate model. We examine the distribution of allele frequencies for SNVs within these genes and we analyze the counts of de novo mutations stratified by whether the SNV was observed or not. {CHR}_IGK_SFS_v2_denovo.gz: allele frequencies, mutation rate estimates, and whether the de novo mutation was observed for IGK, RNU, and tRNA genes. Based on gnomAD v3. {CHR}_indiv_mu.csv: quality information for variants in these gene classes from the 1kg subset of gnomAD. "CHR", "POS", "REF", "ALT", "FILTER", "AC", "AN", "MQRankSum", "pab_max", "VQSLOD", "AB", "PN", "MR", "AR", "MG", "MC", "QUAL" all_variants_chr21_mu_h.csv.gz: all variants from chromosome 21 to use for comparing allele frequencies to those in our gene classes. 21_indiv_mu_all.csv.gz: quality information from all variants on chromosome 21 from the 1kg subset of gnomAD to use for comparison with gene classes. "CHR", "POS", "REF", "ALT", "FILTER", "AC", "AN", "MQRankSum", "pab_max", "VQSLOD", "AB", "PN", "MR", "AR", "MG", "MC", "QUAL"
DOI: 10.6084/m9.figshare.22116341
title: The raw data and code of SKCM.

description: The SKCM_TCGA.tpm.txt was raw data of SKCM from TCGA database. The Skin_GTEx.tpm.txt was raw data of normal skin tissue from GTEx database. The code_SKCM.R was the code of research. <br>
DOI: 10.6084/m9.figshare.22116341.v1
title: The TCGA dataset of SKCM and GTEx dataset of skin tissue.

description: The TCGA dataset of SKCM and GTEx dataset of skin tissue.
DOI: 10.5281/zenodo.7659201
title: Liquid water content and vertical velocity from RICO-based LES simulations

description: The RICO-based simulations by implementing the LES module of WRF model 4.0 generate the raw data. The simulation continued for 40 hours with a time step of one second. The domain size is 12.8×12.8×4 km3, with a resolution of 100 m and 40 m in the horizontal and vertical orientation, respectively. The outputs during 8~40 hour were retained every 10 minutes. Two parameters (LWC and vertical velocity) were then extracted by using MATLAB to create the following dataset. The "q" and "w" in the filename represent LWC and vertical velocity, respectively, and the "a"~"e" in the filename represents the corresponding minute in each hour (e.g. "q24a" means LWC value at 24h10m). The unit of "q" and "w" are "kg/kg" and "m/s' respectively.
DOI: 10.5281/zenodo.7659200
title: Liquid water content and vertical velocity from RICO-based LES simulations

description: The RICO-based simulations by implementing the LES module of WRF model 4.0 generate the raw data. The simulation continued for 40 hours with a time step of one second. The domain size is 12.8×12.8×4 km3, with a resolution of 100 m and 40 m in the horizontal and vertical orientation, respectively. The outputs during 8~40 hour were retained every 10 minutes. Two parameters (LWC and vertical velocity) were then extracted by using MATLAB to create the following dataset. The "q" and "w" in the filename represent LWC and vertical velocity, respectively, and the "a"~"e" in the filename represents the corresponding minute in each hour (e.g. "q24a" means LWC value at 24h10m). The unit of "q" and "w" are "kg/kg" and "m/s' respectively.
DOI: 10.6084/m9.figshare.22130393
title: The mitochondrial data of the white-spotted bamboo shark

description: These mitochondrial data were used for genetic variability and diversity analyses of the white-spotted bamboo shark. Compared to other mito-genes, lower control region variability were detected.
DOI: 10.6084/m9.figshare.22130393.v1
title: The mitochondrial data of the white-spotted bamboo shark

description: These mitochondrial data were used for genetic variability and diversity analyses of the white-spotted bamboo shark. Compared to other mito-genes, lower control region variability were detected.
DOI: 10.6084/m9.figshare.22130393.v2
title: The mitochondrial data of the white-spotted bamboo shark

description: These mitochondrial data were used for genetic variability and diversity analyses of the white-spotted bamboo shark. Compared to other mito-genes, lower control region variability were detected.
DOI: 10.34740/kaggle/dsv/5035129
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.34740/kaggle/dsv/5035149
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.17909/ggct-aw51
title: Data from The Type II-P Supernova 2019mhm and Constraints on Its Progenitor System
DOI: 10.5517/ccdc.csd.cc2bq74g
title: CCDC 2166315: Experimental Crystal Structure Determination

description: Related Article: Dongmin Wang, Cai Zhai, Yizhen Chen, Yuhao He, Xiao-dan Chen, Shanle Wang, Lili Zhao, Gernot Frenking, Xinping Wang, Gengwen Tan|2023|Nature Chemistry|15|200|doi:10.1038/s41557-022-01081-1
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: 10.21947/wdh-dap/1910052
title: The Wind Data Hub, also known as The Data Archive and Portal.

description: The Wind Data Hub, or WDH (formerly known as the Data Archive and Portal), is established by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy’s Wind Energy Technologies Office (WETO). The WDH provides secure, timely, easy, and open access to all laboratory, field, and benchmark model data produced by land-based and offshore projects funded by WETO.
DOI: 10.25582/data.2021-07.2269195/1952958
title: Data for EMSL Project 50686 from July 2021
DOI: 10.25582/data.2021-07.2274597/1954261
title: Data for EMSL Project 50686 from July 2021
DOI: 10.6084/m9.figshare.22130480
title: Functional network atlas (23 networks)

description: This MATLAB file consists of 23 highly reproducible networks across the population that can be used as a spatiotemporal functional atlas for the human brain. Surfaces and other related files for ease of visualization are also included.
DOI: 10.6084/m9.figshare.22130480.v1
title: Functional network atlas (23 networks)

description: This MATLAB file consists of 23 highly reproducible networks across the population that can be used as a spatiotemporal functional atlas for the human brain. Surfaces and other related files for ease of visualization are also included.
DOI: 10.25582/data.2023-02.2748549/1957635
title: Data for EMSL Project 60141 from February 2023
DOI: 10.7799/1957644
title: Availability Estimates of Low-Cost, Dispatch-Constrained Electricity (LDE)

description: This dataset accompanies the report "Potential Availability of and Supply Curves for Low-Cost, Dispatch-Constrained Electricity", which provides initial estimates of the quantity and availability of the potential low-cost, dispatch-constrained electricity (LDE) resource in the United States under scenarios with high variable renewable energy (VRE) penetrations. The analysis also estimates supply curves that can be used in subsequent analysis of the opportunity to use the LDE. The estimated LDE resource could be used for various applications that value low-cost electricity and can operate at reduced capacity factors, including electrolytic hydrogen production and carbon capture. The analysis accompanying this dataset was performed in 2018-2019 to support an analysis of "The Technical and Economic Potential of the H2@Scale Concept within the United States" (https://www.nrel.gov/docs/fy21osti/77610.pdf). This dataset includes the quantity of estimated LDE resource for each hour of the year in 2050, aggregated to both the national level and the ReEDS balancing area level. As described in the accompanying report, the ReEDS model was used to project the evolution of the power sector over time. Links to the mapping of ReEDS balancing areas to states and ReEDS balancing area shape files are provided. This dataset also includes the report figure data.
DOI: 10.25582/data.2023-02.2748560/1957646
title: Data for EMSL Project 60141 from February 2023
DOI: 10.18170/dvn/seewnq
title: test

description: test
DOI: 10.5281/zenodo.7147792
title: Data sources and code for: "Species-specific acclimation capacity of key traits explains global vertical distributions of seagrass species"

description: Minguito-Frutos_etal_2023_Data1.xlsx contains the data for analyzing the relationship between plant size and seagrass growth reproductive strategy and the species-specific vertical distribution of seagrasses. Minguito-Frutos_etal_2023_Data2.xlsx contains the data for the meta-analityc approach studying the relationship between the vertical distribution of seagrass species and the plasticity of their traits (physiological, morphological, structural and growth). Scripts_Minguito_Frutos_etal_2023_GEB_Ref.GEB-2022-0592.R contains the R reproducible code to run all the analyses carried out in this study.
DOI: 10.5281/zenodo.7147793
title: Data sources and code for: "Seagrass vertical distribution explains the plasticity of key traits to light reduction"

description: Minguito-Frutos_etal_2022_Data1.xlsx contains the data for analyzing the relationship between plant size and seagrass growth reproductive strategy and the species-specific vertical distribution of seagrasses. Minguito-Frutos_etal_2022_Data2.xlsx contains the data for the meta-analityc approach studying the relationship between the vertical distribution of seagrass species and the plasticity of their traits (physiological, morphological, structural and growth). Data_MinguitoFrutos_etal2022.R contains the R reproducible code to run all the analyses carried out in this study.