cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zhtdbbwr8d.1
title: Data for: Development of a coupling between a thermal-hydraulic system code and a reduced order CFD model

description: These files contain the raw simulation results of coupled RELAP5/CFD and coupled RELAP5/ROM simulations. The best-estimate system code RELAP5-MOD3.3 and a ROM of the finite volume CFD solver OpenFOAM (using the open source code ITHACA-FV, https://github.com/mathLab/ITHACA-FV) are coupled by a partitioned domain decomposition coupling algorithm. An implicit coupling scheme based on an interface Quasi-Newton algorithm is adopted. The simulations results of open and closed pipe flow configurations consist of - the time evolution of the mass flow rate at coupling interface 2. - the area-averaged pressure calculated at coupling interface 2. - the stand-alone system thermal-hydraulics solutions at coupling interface 2. - the time evolution of the relative error between the reconstructed fields and the RELAP5/CFD results (CFD sub-domain). Each folder contains a README file with additional information.
DOI: 10.23721/109/1504452
title: internet_outage_adaptive_a36all-20190401 (2019-04-01 to 2019-07-01)

description: Combined reachability information for over 3.5M /24 subnets; this dataset is created by post-processing data from datasets internet_outage_adaptive_a36c-20190401 internet_outage_adaptive_a36e-20190401 internet_outage_adaptive_a36g-20190401 internet_outage_adaptive_a36j-20190401 internet_outage_adaptive_a36n-20190401 internet_outage_adaptive_a36w-20190401
DOI: 10.5517/ccdc.csd.cc24kd6b
title: CCDC 1982921: Experimental Crystal Structure Determination

description: Related Article: Jun-Jun Sun, Yue-Lin Wang, Guo-Yu Yang|2020|CrystEngComm|22|8387|doi:10.1039/D0CE01446J
DOI: 10.5517/ccdc.csd.cc24kd7c
title: CCDC 1982922: Experimental Crystal Structure Determination

description: Related Article: Jun-Jun Sun, Yue-Lin Wang, Guo-Yu Yang|2020|CrystEngComm|22|8387|doi:10.1039/D0CE01446J
DOI: 10.5517/ccdc.csd.cc254c90
title: CCDC 2000191: Experimental Crystal Structure Determination

description: Related Article: Malay Dolai, Urmila Saha, Surajit Biswas, Sabyasachi Chatterjee, Gopinatha Suresh Kumar|2020|CrystEngComm|22|8374|doi:10.1039/D0CE01152E
DOI: 10.5517/ccdc.csd.cc25nyc5
title: CCDC 2016127: Experimental Crystal Structure Determination

description: Related Article: Xuxing Wan, Songgu Wu, Yan Wang, Junbo Gong|2020|CrystEngComm|22|8405|doi:10.1039/D0CE01230K
DOI: 10.5517/ccdc.csd.cc25nyd6
title: CCDC 2016128: Experimental Crystal Structure Determination

description: Related Article: Xuxing Wan, Songgu Wu, Yan Wang, Junbo Gong|2020|CrystEngComm|22|8405|doi:10.1039/D0CE01230K
DOI: 10.5517/ccdc.csd.cc25wntk
title: CCDC 2022589: Experimental Crystal Structure Determination

description: Related Article: Hidemasa Hikawa, Ayaka Takahashi, Shoko Kikkawa, Ayaka Suzuki, Yoshiki Takahashi, Naruka Sato, Misaki Okayasu, Isao Azumaya|2020|CrystEngComm|22|8353|doi:10.1039/D0CE01267J
DOI: 10.5517/ccdc.csd.cc25wnvl
title: CCDC 2022590: Experimental Crystal Structure Determination

description: Related Article: Hidemasa Hikawa, Ayaka Takahashi, Shoko Kikkawa, Ayaka Suzuki, Yoshiki Takahashi, Naruka Sato, Misaki Okayasu, Isao Azumaya|2020|CrystEngComm|22|8353|doi:10.1039/D0CE01267J
DOI: 10.5517/ccdc.csd.cc25wnyp
title: CCDC 2022593: Experimental Crystal Structure Determination

description: Related Article: Hidemasa Hikawa, Ayaka Takahashi, Shoko Kikkawa, Ayaka Suzuki, Yoshiki Takahashi, Naruka Sato, Misaki Okayasu, Isao Azumaya|2020|CrystEngComm|22|8353|doi:10.1039/D0CE01267J
DOI: 10.5517/ccdc.csd.cc25xzfj
title: CCDC 2023848: Experimental Crystal Structure Determination

description: Related Article: Zhe Yu, Tianhua Wang, Guanjun Wang, Kai Xu, Qingtang Cui, Lifeng Cao, Bing Teng|2020|CrystEngComm|22|8362|doi:10.1039/D0CE01243B
DOI: 10.5517/ccdc.csd.cc25dtcs
title: CCDC 2008315: Experimental Crystal Structure Determination

description: Related Article: Grigory Andreev, Nina Budantseva, Anastasiya Levtsova, Marina Sokolova, Aleksander Fedoseev|2020|CrystEngComm|22|8394|doi:10.1039/D0CE01323D
DOI: 10.5517/ccdc.csd.cc25dtfv
title: CCDC 2008317: Experimental Crystal Structure Determination

description: Related Article: Grigory Andreev, Nina Budantseva, Anastasiya Levtsova, Marina Sokolova, Aleksander Fedoseev|2020|CrystEngComm|22|8394|doi:10.1039/D0CE01323D
DOI: 10.5517/ccdc.csd.cc25dtdt
title: CCDC 2008316: Experimental Crystal Structure Determination

description: Related Article: Grigory Andreev, Nina Budantseva, Anastasiya Levtsova, Marina Sokolova, Aleksander Fedoseev|2020|CrystEngComm|22|8394|doi:10.1039/D0CE01323D
DOI: 10.5517/ccdc.csd.cc25dtgw
title: CCDC 2008318: Experimental Crystal Structure Determination

description: Related Article: Grigory Andreev, Nina Budantseva, Anastasiya Levtsova, Marina Sokolova, Aleksander Fedoseev|2020|CrystEngComm|22|8394|doi:10.1039/D0CE01323D
DOI: 10.5517/ccdc.csd.cc25dthx
title: CCDC 2008319: Experimental Crystal Structure Determination

description: Related Article: Grigory Andreev, Nina Budantseva, Anastasiya Levtsova, Marina Sokolova, Aleksander Fedoseev|2020|CrystEngComm|22|8394|doi:10.1039/D0CE01323D
DOI: 10.5517/ccdc.csd.cc25wnxn
title: CCDC 2022592: Experimental Crystal Structure Determination

description: Related Article: Hidemasa Hikawa, Ayaka Takahashi, Shoko Kikkawa, Ayaka Suzuki, Yoshiki Takahashi, Naruka Sato, Misaki Okayasu, Isao Azumaya|2020|CrystEngComm|22|8353|doi:10.1039/D0CE01267J
DOI: 10.5517/ccdc.csd.cc25wnwm
title: CCDC 2022591: Experimental Crystal Structure Determination

description: Related Article: Hidemasa Hikawa, Ayaka Takahashi, Shoko Kikkawa, Ayaka Suzuki, Yoshiki Takahashi, Naruka Sato, Misaki Okayasu, Isao Azumaya|2020|CrystEngComm|22|8353|doi:10.1039/D0CE01267J
DOI: 10.5517/ccdc.csd.cc24b1l4
title: CCDC 1975865: Experimental Crystal Structure Determination

description: Related Article: Leilei Li, Bin Cai, Donghui Pang, Xinxin Du, Xingliang Yin, Huaiwei Wang, Jie Yang, Dacheng Li, Jianmin Dou|2020|CrystEngComm|22|8343|doi:10.1039/D0CE01493A
DOI: 10.5517/ccdc.csd.cc24b1n6
title: CCDC 1975867: Experimental Crystal Structure Determination

description: Related Article: Leilei Li, Bin Cai, Donghui Pang, Xinxin Du, Xingliang Yin, Huaiwei Wang, Jie Yang, Dacheng Li, Jianmin Dou|2020|CrystEngComm|22|8343|doi:10.1039/D0CE01493A
DOI: 10.15468/mk8ed6
title: A new species and four new records of Stirellus Osborn & Ball (Hemiptera Cicadellidae: Deltocephalinae: Stenometopiini) from Pakistan with a revised key to species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Shah, Bismillah, Naveed, Hassan, Duan, Yani (2020): A new species and four new records of Stirellus Osborn & Ball (Hemiptera Cicadellidae: Deltocephalinae: Stenometopiini) from Pakistan with a revised key to species. Zootaxa 4895 (3): 398-410, DOI: https://doi.org/10.11646/zootaxa.4895.3.5
DOI: 10.6084/m9.figshare.13473102
title: Field predation rates and biomass densities of predators and prey across taxa and scales

description: We collected 32 studies reporting field kills, mainly for higher terrestrial vertebrates, over an extended period of time (typically a year or more), and estimated biomass densities and mass-specific metabolic rates of predators and prey. See details and meta-data in the Supplementary Appendices of the preprint in References.<br>
DOI: 10.5281/zenodo.4383148
title: Datasets accompanying Agiwal et al. 2020 manuscript

description: The following datasets accompany the publication <strong>“Constraining the Temporal Variability of Neutral Winds in Saturn's Low-Latitude Ionosphere using Magnetic Field Measurements” </strong>by O. Agiwal, H. Cao, S. W. H. Cowley, M. K. Dougherty, G. J. Hunt, I. Mueller-Wodarg, N. Achilleos. Please see READ ME file for more details.
DOI: 10.5281/zenodo.4134335
title: Datasets accompanying Agiwal et al. 2020 manuscript

description: The following datasets accompany the publication <strong>“Constraining the Temporal Variability of Neutral Winds in Saturn's Low-Latitude Ionosphere using Magnetic Field Measurements” </strong>by O. Agiwal, H. Cao, S. W. H. Cowley, M. K. Dougherty, G. J. Hunt, I. Mueller-Wodarg, N. Achilleos. Please see READ ME file for more details.
DOI: 10.25919/w0bp-7c80
title: Parkes observations for project P1068 semester 2020APRS_36

description: In the fast-moving world of Fast Radio Bursts (FRBs), the key question of what fraction (as high as 100%?) of FRBs emit repeat bursts remains unanswered. Of order 10 repeating FRBs are now known, and their spectro-temporal properties hint at differences with apparently non-repeating bursts - but poor statistics preclude a definitive diagnosis. FRB 180301 is a promising source for further study for multiple reasons: it is the first repeating FRB seen by the FAST telescope, and has the second-highest rotation measure ever seen for a FRB (after the original repeater, FRB121102). We request Parkes observations with the UWL to characterise the broadband emission properties of this FRB, with the following key goals: to constrain the repetition rate, identify any variation of pulse characteristics over time, and provide insight into the emission mechanisms. In its initial detection, FRB 180301 was poorly fit by regular Faraday rotation models, and showed significant circular polarization, which may indicate the progenitor is embedded in an extreme magneto-ionic environment with complex field structure that has not been seen before. These observations will generate a large data volume. We will use the Medusa backend in parallel with the Breakthrough Listen data recorder (BL), and will transfer data to BL immediately after observations.These data will be used by P. Kumar to prototype a FRB pipeline for the UWL, that will be made broadly available for similar studies.
DOI: 10.5281/zenodo.4338180
title: On The Impact of 22Ne On The Pulsation Periods of Carbon-Oxygen White Dwarfs With Helium Dominated Atmospheres

description: This file contains the python scripts needed to re-produce figures 2-11 in our paper. It also contains the information to re-run our 22Ne tests and other WD mass models. The README.md file contains a more detailed description of the data.
DOI: 10.5281/zenodo.4051264
title: On The Impact of 22Ne On The Pulsation Periods of Carbon-Oxygen White Dwarfs With Helium Dominated Atmospheres

description: This file contains the python scripts needed to re-produce figures 2-11 in our paper. It also contains the information to re-run our 22Ne tests and other WD mass models. The README.md file contains a more detailed description of the data.
DOI: 10.6084/m9.figshare.12830564
title: Body mass by species_DOetal.csv

description: Body mass is one of the most important phenotypic attributes in animal ecology and life history. This trait is widely used in the fields of ecology and macroevolution, since it influences physiology, morphological functions, as well as a myriad of ecological and social interactions. In this data set, our aim was to gather a comprehensive bird and mammal body mass data set from northern South America. We report body mass, discriminated by sex, for 42,022 individual birds and 7,441 mammals representing 1317 bird species (69% of Colombia’s avifauna) and 270 mammal species (51% of Colombian mammals) from the Neotropics. The data was sourced from vouchers collected between 1942 and 2020 and from individuals captured and released at banding stations over the last two decades for birds (2000 – 2020) and the last decade for mammals (2010 – 2020), by ten research groups and institutions in Colombia. This data set fills gaps identified in other similar databases, as it focuses on northern South America, a highly diverse Neotropical region often underrepresented in morphological data sets. We provide wide taxonomic coverage for studies interested in information both at regional and local scales.<br>
DOI: 10.6084/m9.figshare.12830567
title: Body mass records_DOetal.csv

description: Body mass is one of the most important phenotypic attributes in animal ecology and life history. This trait is widely used in the fields of ecology and macroevolution, since it influences physiology, morphological functions, as well as a myriad of ecological and social interactions. In this data set, our aim was to gather a comprehensive bird and mammal body mass data set from northern South America. We report body mass, discriminated by sex, for 42,022 individual birds and 7,441 mammals representing 1317 bird species (69% of Colombia’s avifauna) and 270 mammal species (51% of Colombian mammals) from the Neotropics. The data was sourced from vouchers collected between 1942 and 2020 and from individuals captured and released at banding stations over the last two decades for birds (2000 – 2020) and the last decade for mammals (2010 – 2020), by ten research groups and institutions in Colombia. This data set fills gaps identified in other similar databases, as it focuses on northern South America, a highly diverse Neotropical region often underrepresented in morphological data sets. We provide wide taxonomic coverage for studies interested in information both at regional and local scales.<br>
DOI: 10.6084/m9.figshare.12830567.v1
title: DataS2_Body mass records_DOetal.csv

description: Body mass is one of the most important phenotypic attributes in animal ecology and life history. This trait is widely used in the fields of ecology and macroevolution, since it influences physiology, morphological functions, as well as a myriad of ecological and social interactions. In this data set, our aim was to gather a comprehensive bird and mammal body mass data set from northern South America. We report body mass, discriminated by sex, for 42,022 individual birds and 7,441 mammals representing 1317 bird species (69% of Colombia’s avifauna) and 270 mammal species (51% of Colombian mammals) from the Neotropics. The data was sourced from vouchers collected between 1942 and 2020 and from individuals captured and released at banding stations over the last two decades for birds (2000 – 2020) and the last decade for mammals (2010 – 2020), by ten research groups and institutions in Colombia. This data set fills gaps identified in other similar databases, as it focuses on northern South America, a highly diverse Neotropical region often underrepresented in morphological data sets. We provide wide taxonomic coverage for studies interested in information both at regional and local scales.<br>
DOI: 10.6084/m9.figshare.12830564.v1
title: DataS1_Body mass by species_DOetal.csv

description: Body mass is one of the most important phenotypic attributes in animal ecology and life history. This trait is widely used in the fields of ecology and macroevolution, since it influences physiology, morphological functions, as well as a myriad of ecological and social interactions. In this data set, our aim was to gather a comprehensive bird and mammal body mass data set from northern South America. We report body mass, discriminated by sex, for 42,022 individual birds and 7,441 mammals representing 1317 bird species (69% of Colombia’s avifauna) and 270 mammal species (51% of Colombian mammals) from the Neotropics. The data was sourced from vouchers collected between 1942 and 2020 and from individuals captured and released at banding stations over the last two decades for birds (2000 – 2020) and the last decade for mammals (2010 – 2020), by ten research groups and institutions in Colombia. This data set fills gaps identified in other similar databases, as it focuses on northern South America, a highly diverse Neotropical region often underrepresented in morphological data sets. We provide wide taxonomic coverage for studies interested in information both at regional and local scales.<br>
DOI: 10.5281/zenodo.4383158
title: Numerosity adaptation partly depends on the allocation of implicit numerosity-contingent visuo-spatial attention

description: The folder Dataset contains five subfolders. Each subfolder contains the single subjects’ data for each experiment (three experiments) and each control experiment (two control experiments). Each file contains two Matlab tables called “TBase” and “TAdapt”. Each row of the table is a trial. In Experiment 1 and 2 the columns contain the following information: 1<sup>st</sup>: Numerosity of the test stimulus 2<sup>nd: </sup>Response 3<sup>rd</sup>: Reaction Times 4<sup>th</sup>: Accuracy 5<sup>th</sup>: Test/Adapt side 6<sup>th</sup>: N° of presented Adaptors In Experiment 3 the columns contain the following information: 1<sup>st</sup>: Numerosity of the test stimulus 2<sup>nd</sup>: Cue position 3<sup>rd</sup>: Response 4<sup>th</sup>: Reaction Times 5<sup>th</sup>: Accuracy 6<sup>th</sup>: Test/Adapt side
DOI: 10.5281/zenodo.4383157
title: Numerosity adaptation partly depends on the allocation of implicit numerosity-contingent visuo-spatial attention

description: The folder Dataset contains five subfolders. Each subfolder contains the single subjects’ data for each experiment (three experiments) and each control experiment (two control experiments). Each file contains two Matlab tables called “TBase” and “TAdapt”. Each row of the table is a trial. In Experiment 1 and 2 the columns contain the following information: 1<sup>st</sup>: Numerosity of the test stimulus 2<sup>nd: </sup>Response 3<sup>rd</sup>: Reaction Times 4<sup>th</sup>: Accuracy 5<sup>th</sup>: Test/Adapt side 6<sup>th</sup>: N° of presented Adaptors In Experiment 3 the columns contain the following information: 1<sup>st</sup>: Numerosity of the test stimulus 2<sup>nd</sup>: Cue position 3<sup>rd</sup>: Response 4<sup>th</sup>: Reaction Times 5<sup>th</sup>: Accuracy 6<sup>th</sup>: Test/Adapt side
DOI: 10.5281/zenodo.4382359
title: ALS BCI 2014

description: ALS BCI 2014 data
DOI: 10.5281/zenodo.4382358
title: ALS BCI 2014

description: ALS BCI 2014 data
DOI: 10.5066/p96aod5w
title: Trace-element concentrations in water, streambed sediment, and aquatic invertebrates at select locations in the Klamath River and major tributaries, 2018-2019

description: The U.S. Geological Survey is monitoring concentrations of metals and other trace elements in water, streambed sediment, and aquatic invertebrates at 6 locations in the middle and lower portions of the mainstem Klamath River from below J.C. Boyle dam in Oregon to near the mouth on the northwestern coast of California. Included are 3 tributary monitoring sites, one each on the Scott, Salmon, and Trinity Rivers. This data release makes available major and minor trace element concentrations in surface water, bed sediment, and aquatic invertebrates collected in September 2018, and in bed sediment collected in September 2019.
DOI: 10.6084/m9.figshare.13473153
title: Copy number variation data

description: Copy number variation datasets
DOI: 10.6084/m9.figshare.13473147
title: Data S1

description: Body mass is one of the most important phenotypic attributes in animal ecology and life history. This trait is widely used in the fields of ecology and macroevolution, since it influences physiology, morphological functions, as well as a myriad of ecological and social interactions. In this data set, our aim was to gather a comprehensive bird and mammal body mass data set from northern South America. We report body mass, discriminated by sex, for 42,022 individual birds and 7,441 mammals representing 1317 bird species (69% of Colombia’s avifauna) and 270 mammal species (51% of Colombian mammals) from the Neotropics. The data was sourced from vouchers collected between 1942 and 2020 and from individuals captured and released at banding stations over the last two decades for birds (2000 – 2020) and the last decade for mammals (2010 – 2020), by ten research groups and institutions in Colombia. This data set fills gaps identified in other similar databases, as it focuses on northern South America, a highly diverse Neotropical region often underrepresented in morphological data sets. We provide wide taxonomic coverage for studies interested in information both at regional and local scales.
DOI: 10.5281/zenodo.3958272
title: CO excitation, molecular gas density and interstellar radiation field in local and high-redshift galaxies

description: This dataset includes the SED fitting figures and full sample table produced in the study of Liu et al. (2020, ApJ). Two example figures are shown in the Figure 1 of the paper. And selected columns of the full sample table is shown in the Table 1 of the paper.
DOI: 10.5281/zenodo.3958271
title: CO excitation, molecular gas density and interstellar radiation field in local and high-redshift galaxies

description: This dataset includes the SED fitting figures and full sample table produced in the study of Liu et al. (2020, ApJ). Two example figures are shown in the Figure 1 of the paper. And selected columns of the full sample table is shown in the Table 1 of the paper.
DOI: 10.6084/m9.figshare.13473168
title: CLIP datasets

description: Processed multi-modal cancer cell line omics datasets used by the CLIP pipeline. For more details: https://www.biorxiv.org/content/10.1101/2020.01.31.929372v1.full
DOI: 10.6084/m9.figshare.13473168.v1
title: Target addiction scores

description: Target addiction score datasets
DOI: 10.5281/zenodo.4383180
title: MCS Data Comicon

description: MCS Data Comicon
DOI: 10.5281/zenodo.4383179
title: MCS Data Comicon

description: MCS Data Comicon
DOI: 10.6084/m9.figshare.11832999
title: Metatranscriptomic sequencing of single mosquitos in California

description: Data associated to a study of the microbiota of 148 single mosquitos gathered in California.<br>This includes supporting data for manuscript figures and processed data files necessary for reproducing the analysis.<br><br>Manifest:<br>Supporting data for manuscript figures are named DataS* or TableS*. Additional files include:<br><br>* Assembled contig files (contigs.zip)* CD-HIT-EST clusters of contigs &gt; 500 base pairs long. (500_contigs_cluster.clstr)* Read counts per contig (contig_stats_all.tsv)* Least Common Ancestor (LCA) assignments for each contig from blast against nt/nr (contig_stats_lca.tsv)* Final taxonomic calls for each contig, after decontamination (contig_calls_decontam.tsv)* Mosquito genomes used for host subtraction (mosquito_genomes_ref.txt)<br>* Viral segments found, grouped by genome, including sample and contig information. (virus.json)
DOI: 10.6084/m9.figshare.11832999.v2
title: Metatranscriptomic sequencing of single mosquitos in California

description: Data associated to a study of the microbiota of 148 single mosquitos gathered in California.<br>Manifest:<br>* Assembled contig files (contigs.zip)* CD-HIT-EST clusters of contigs &gt; 500 base pairs long. (500_contigs_cluster.clstr)* Read counts per contig (contig_stats_all.tsv)* Least Common Ancestor (LCA) assignments for each contig from blast against nt/nr (contig_stats_lca.tsv)* Final taxonomic calls for each contig, after decontamination (contig_calls_decontam.tsv)* Sample Demographics (sample_demographics.xlsx)* Sequence yields per mosquito (read_stats_per_sample.xlsx)* SNP distance matrices between samples (snp_distances.tsv)* Underlying data: Treemap (treemap.tsv)* Viral taxa detected (virus_details.tsv)* Underlying data: peribunya figure (source_data_for_perbunya_figure.zip)* Branch length contributions: alignments and phylogenetic trees (branch_length.zip)* Branch length contributions: figures of each tree (branch_length_trees.zip)* Per-mosquito nonhost reads for select taxa (select_taxa_nonhost_reads.zip)* Viral segments found, grouped by genome, including sample and contig information. (virus.json)* Blood meal species calls and blood meal parasites (bloodmeal.zip)* Output of co-occurrence analysis (co-occurrence.xlsx)* Narnavirus analysis (narnavirus.zip)* Wuhan Mosquito Virus 6 phylogenetic trees (wmv6_trees.zip)* Mosquito genomes used for host subtraction (mosquito_genomes_ref.txt)
DOI: 10.5281/zenodo.4383185
title: Maruyama et al Raw EEG Data

description: EEG Data used in Maruyama et al
DOI: 10.5281/zenodo.4383184
title: Maruyama et al Raw EEG Data

description: EEG Data used in Maruyama et al