cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14286/2020_hrforce_alewife_tsitrin
title: Migration and apparent survival of postspawning alewife (Alosa pseudoharengus) in Minas Basin, Bay of Fundy

description: The anadromous alewife is a commercially fished clupeid in Atlantic Canada, whose oceanic migration is poorly understood. Few acoustic telemetry studies have been performed on this species as they are sensitive to handling, and are often compromised by surgical tag implantation. This research assesses the feasibility of a surgically tagging alewives using novel,  V5 acoustic tags; first, a baseline assessment of short-term tagging effects was established based on reflex impairment and necropsies through a series of trials conducted in 2018-2019. Seventy-five adults were then tagged on their downstream migration in June 2019 following this protocol, and their migration tracked from the lower reaches of Gaspereau River into Minas Basin, Bay of Fundy. Alewives in the pilot tagging trials responded well to tagging, with low mortality (3%) and no observed instances of tag shedding 72 hours post-surgery. Water temperature and spawning condition had the greatest effect on the proportion of impaired reflexes following tagging. Within two days of being tagged, most alewives had left Gaspereau River and moved into the Southern Bight of Minas Basin. Macrotidal conditions prevailed in most of the study area, and tides moved alewives back and forth within the Basin in near-cyclical paths. Seasonal warming was associated with offshore movement down the spatial temperature gradient and into deeper waters. Offshore, larger tidal displacements widely dispersed tagged alewives through Minas Basin and to Minas Passage. Average time for migration through the study area was 28 d (SD +/- 2 d). Loss rate was 22% d-1 within Gaspereau River, decreasing to 1% d-1 in Minas Basin. Individual alewives were observed to make many transits through Minas Passage during their migration, where they may become exposed to in-stream tidal turbines.
DOI: 10.6084/m9.figshare.13123250
title: Field Experiment Data for Solo Survey

description: Meta-Data: The rep column is the number plots that I examined throughout my experiment. I survey one hundred 0.5mx0.5m quadrants in total. The date is when I collected my pilot experiment data for the solo survey, which was on October 20<sup>th</sup>, 2020. The researcher who conducted this experiment was me, James Zabbal. The location where I conducted this experiment was in a path/forest area that is located behind my house in King City, Ontario. It has a variety of different plant species there and is located beside a pond. The species richness column is how many different plant species were in each quadrant I had examined. The plants in my data <i>include Trifolium prantense, Symphyotrichum novae-angliae, Rudbeckia, Solidago canadensis </i>and<i> Sinapis arvensis</i>. The total cover column was a rough estimate (by percentage) of how much of each quadrant was covered by plants. Near pond is if the data I collected for my replicates was beside the lake or not. Y = yes = 0-5 meters distance from the pond. N = no = 30+ meters from the pond. I collected the data for my experiment by picking a start point (threw a rock in the air and where it landed is where I started) on the path and using a measure tape, I measured 0.5mx0.5m quadrants for each data point I collected. To include randomization in my experiment, I used a random number generator. For every even number, I took a meter step forward for my next data point, and for every odd number I took a 2-meter step forward for my next data point. I took notes of the different plant species I saw in each quadrant, and then roughly estimated how much of the quadrant space the plants took up (plants vs open land/grass).
DOI: 10.6084/m9.figshare.13123250.v1
title: Field Experiment Data for Solo Survey

description: Meta-Data: The rep column is the number plots that I examined throughout my experiment. I survey one hundred 0.5mx0.5m quadrants in total. The date is when I collected my pilot experiment data for the solo survey, which was on October 20<sup>th</sup>, 2020. The researcher who conducted this experiment was me, James Zabbal. The location where I conducted this experiment was in a path/forest area that is located behind my house in King City, Ontario. It has a variety of different plant species there and is located beside a pond. The species richness column is how many different plant species were in each quadrant I had examined. The plants in my data <i>include Trifolium prantense, Symphyotrichum novae-angliae, Rudbeckia, Solidago canadensis </i>and<i> Sinapis arvensis</i>. The total cover column was a rough estimate (by percentage) of how much of each quadrant was covered by plants. Near pond is if the data I collected for my replicates was beside the lake or not. Y = yes = 0-5 meters distance from the pond. N = no = 30+ meters from the pond. I collected the data for my experiment by picking a start point (threw a rock in the air and where it landed is where I started) on the path and using a measure tape, I measured 0.5mx0.5m quadrants for each data point I collected. To include randomization in my experiment, I used a random number generator. For every even number, I took a meter step forward for my next data point, and for every odd number I took a 2-meter step forward for my next data point. I took notes of the different plant species I saw in each quadrant, and then roughly estimated how much of the quadrant space the plants took up (plants vs open land/grass).
DOI: 10.5281/zenodo.4115928
title: Evaluation of DNA barcode libraries used in the UK and developing an action plan to fill priority gaps: Appendices 3 and 4

description: Supplementary data for the DEFRA Centre of Excellence for DNA Methods report: Evaluation of DNA barcode libraries used in the UK and developing an action plan to fill priority gaps. Appendix 3: Priority species identified during the survey and consultation Appendix 4: Raw data for gap analyses
description: Minor updates to raw data to update higher taxonomy of two species. See updates tab for details.
DOI: 10.5281/zenodo.3965808
title: Evaluation of DNA barcode libraries used in the UK and developing an action plan to fill priority gaps: Appendices 3 and 4

description: Supplementary data for the DEFRA Centre of Excellence for DNA Methods report: Evaluation of DNA barcode libraries used in the UK and developing an action plan to fill priority gaps. Appendix 3: Priority species identified during the survey and consultation Appendix 4: Raw data for gap analyses
description: Minor updates to raw data to update higher taxonomy of two species. See updates tab for details.
DOI: 10.5066/p9k7kwm3
title: Physiological and behavioral responses of bighead and silver carp to chemicals associated with common carp sex pheromones

description: This dataset contains a combination of physiological and behavioral approaches for characterizing the response of bighead and silver carp to potentially attractive chemicals associated with sex pheromones identified in common carp. The dataset contains eight tables: 1) EOG responses from untreated and masculinized silver carp to prostaglandins, 2) mixture discrimination indices of the prostaglandins tested with the EOG, 3) relative distribution (percentage) of initial behavioral/attractiveness tests of individual PGF's to silver carp, 4) release rates of prostaglandin mixtures from PGF2alpha-implanted bigheaded carps, 5) relative distribution (percentage) of masculinized silver carp to PGF2alpha-implanted carp odors, 6) relative distribution (percentage) of masculinized silver carp to prostaglandins found in PGF2alpha-implanted carp odors, 7) supplemental data: initial studies of EOG responses from untreated silver carp to prostaglandins, 8) supplemental data: EOG responses from masculinized and untreated silver carp to prostaglandins.
DOI: 10.6078/m78g8hv4
title: Cheung Ek Neutron Activation Analysis
DOI: 10.21227/3gew-vg04
title: Emotional message-exchanges during 18 crisis events

description: This dataset is a set of eighteen directed networks that represents message exchanges among Twitter accounts during eighteen crisis events. The dataset comprises 645,339 anonymized unique user IDs and 1,396,709 edges that are labeled with respect to Plutchik's basic emotions (anger, fear, sadness, disgust, joy, trust, anticipation, and surprise) or "neutral" (if a tweet conveys no emotion).
DOI: 10.5281/zenodo.3982645
title: Metagenomics assemblies and high-quality MAGs for "Long-read metagenomics to retrieve high-quality metagenome-assembled genomes from canine feces"

description: This dataset includes the different metagenomics assemblies analyzed and its summary (_info.txt file): - 100_assembly.fasta is the Flye 2.7 metagenomics assembly merging HMW and non-HMW datasets - 75_assembly.fasta is the Flye 2.7 metagenomics assembly including 75% of random data of the merged dataset. - 50_assembly.fasta is the Flye 2.7 metagenomics assembly including 50% of random data of the merged dataset. - HMW_assembly.fasta is the Flye 2.7 metagenomics assembly for HMW dataset. Moreover, it also includes the eight frameshift-corrected high-quality MAGs analyzed in the manuscript.
DOI: 10.5281/zenodo.3982644
title: Metagenomics assemblies and high-quality MAGs for "Long-read metagenomics to retrieve high-quality metagenome-assembled genomes from canine feces"

description: This dataset includes the different metagenomics assemblies analyzed and its summary (_info.txt file): - 100_assembly.fasta is the Flye 2.7 metagenomics assembly merging HMW and non-HMW datasets - 75_assembly.fasta is the Flye 2.7 metagenomics assembly including 75% of random data of the merged dataset. - 50_assembly.fasta is the Flye 2.7 metagenomics assembly including 50% of random data of the merged dataset. - HMW_assembly.fasta is the Flye 2.7 metagenomics assembly for HMW dataset. Moreover, it also includes the eight frameshift-corrected high-quality MAGs analyzed in the manuscript.
DOI: 10.5281/zenodo.4115152
title: Simulations of an F-BAR domain on a curved membrane

description: F-BAR domain on a wavy membrane, two replicas
DOI: 10.5281/zenodo.4115151
title: Simulations of an F-BAR domain on a curved membrane

description: F-BAR domain on a wavy membrane, two replicas
DOI: 10.5281/zenodo.4095612
title: MITgcm model setup and output for "Improved representation of river runoff in ECCO simulations: implementation, evaluation, and impacts to coastal plume regions"

description: Seven simulations<br> three are conventional ECCO runs with climatology river runoff<br> LLC90-Fekete (aka ECCO-V4R4)<br> LLC270-Fekete (aka ECCO-LLC270)<br> CS510-Stammer (aka ECCO2)<br> four are same as above, except for JRA55-DO daily river runoff<br> LLC90-JRA55DO<br> LLC270-JRA55DO<br> LLC540-JRA55DO<br> CS510-JRA55DO <br> PART 1 MODEL SET-UP ============<br> LLC90-Fekete<br> ============<br> https://ecco.jpl.nasa.gov/drive/files/Version4/Release4/doc/v4r4_reproduction_howto.pdf ==============<br> LLC90-JRA55DO<br> ==============<br> similar to LLC90-Fekete except for JRA55DO runoff<br> #define CHECK_SALINITY_FOR_NEGATIVE_VALUES @CPP_OPTIONS.h<br> river runoff forcing from "LLC90-JRA55DO.tar", pickup from "LLC90-JRA55DO-PICKUP.tar" (each "JRA55DO.tar" contains 2015-2017 daily river runoff and "data.exf" for specification of JRA55DO river runoff; each "PICKUP.tar" contains pickup files for starting from 2015/01/01 and "data" for specification of initial conditions and model parameters) =============<br> LLC270-Fekete<br> =============<br> https://github.com/MITgcm-contrib/ecco_darwin/blob/master/v04/llc270_JAMES_paper/readme/readme_physics.txt ==============<br> LLC270-JRA55DO<br> ==============<br> https://github.com/MITgcm-contrib/ecco_darwin/blob/master/v05/llc270_jra55do/readme.txt<br> river runoff temperature NOT used here:<br> #undef ALLOW_RUNOFTEMP @EXF_OPTIONS.h<br> delete "runoftempfile" @data.exf<br> river runoff forcing from "LLC270-JRA55DO.tar", pickup from "LLC270-JRA55DO-PICKUP.tar" ==============<br> LLC540-JRA55DO<br> ==============<br> https://github.com/MITgcm-contrib/llc_hires/blob/master/llc_540/readme<br> https://github.com/MITgcm-contrib/llc_hires/blob/master/llc_540/readme#L16<br> river runoff forcing from "LLC540-JRA55DO.tar", pickup from "LLC540-JRA55DO-PICKUP.tar" =============<br> CS510-Stammer<br> =============<br> http://wwwcvs.mitgcm.org/viewvc/MITgcm/MITgcm_contrib/high_res_cube/cube92/README.cs510?revision=1.11&view=co =============<br> CS510-JRA55DO<br> =============<br> similar to CS510-Stammer except for JRA55DO runoff<br> #define CHECK_SALINITY_FOR_NEGATIVE_VALUES @CPP_OPTIONS.h<br> #define USE_NO_INTERP_RUNOFF @EXF_OPTIONS.h<br> river runoff forcing from "CS510-JRA55DO.tar", pickup from "CS510-JRA55DO-PICKUP.tar" <br> PART 2 MODEL OUTPUT<br> LLC###_${river}_SSS.mat<br> where ### for 90, 270, or 540<br> and ${river} for eight major rivers in the world.<br> each "mat" file contains the daily mean SSS over 2015-2017 near the corresponding river.<br>
DOI: 10.5281/zenodo.4115980
title: Dataset for

description: My dataset for the Motivation paper
DOI: 10.5281/zenodo.3678336
title: Dataset for

description: My dataset for the Motivation paper
DOI: 10.6084/m9.figshare.12971075
title: 20-CR Surge Reconstruction

description: A daily maximum storm surge reconstruction for 882 tide gauge locations around the globe. The surge reconstruction is based on the 20-CR atmospheric reanalysis product
DOI: 10.6084/m9.figshare.12971075.v1
title: 20-CR Surge Reconstruction

description: A daily maximum storm surge reconstruction for 882 tide gauge locations around the globe. The surge reconstruction is based on the 20-CR atmospheric reanalysis product
DOI: 10.6084/m9.figshare.13123271
title: Wolbachia-conferred antiviral protection is determined by developmental temperature

description: <em>Wolbachia</em>-conferred antiviral protection is determined by developmental temperature<br>This repository contains the data and analysis for the manuscript:Chrostek, E., Martins, N. E., Marialva, M. S., Teixeira, L. 2020. <em>Wolbachia</em>-conferred antiviral protection is determined by developmental temperature.<br>A preprint of this manuscript is posted in bioRxiv, doi: https://doi.org/10.1101/2020.06.24.169169Files:Analysis.Rmd - R markdown file with analysis scriptAnalysis.pdf - PDF output from running Analysis.Rmddataset_s1.txt - Data for figures 1A, Bdataset_s2.txt - Data for figure 1Cdataset_s3.txt - Data for figure 1Ddataset_s4.txt - Data for figures 2A, B, and S3dataset_s5.txt - Data for figures 2C and S1dataset_s6.txt - Data for figure 2Ddataset_s7.txt - Data for figures 3A, B, and S2A, Bdataset_s8.txt - Data for figures 3C and S2Cdataset_s9.txt - Data for figure S4dataset_s10.txt - Data for figure 4Adataset_s11.txt - Data for figure S5Adataset_s12.txt - Data for figure S5Bdataset_s13.txt - Data for figures 4B and S5Cdataset_s14.txt - Data for figures 4C and S5Edataset_s15.txt - Data for figure S5D
DOI: 10.5281/zenodo.4115871
title: MT2MQ

description: Map Go Uniref 50 input for MT2MQ.
DOI: 10.5281/zenodo.4115870
title: MT2MQ

description: Map Go Uniref 50 input for MT2MQ.
DOI: 10.6084/m9.figshare.12971009
title: MERRA-2 Surge Reconstruction

description: A daily maximum storm surge reconstruction for 840 tide gauge locations around the globe. The surge reconstruction is based on the MERRA-2 atmospheric reanalysis product
DOI: 10.25345/c5bj51
title: MassIVE MSV000086345 - SMID-DB Raw MS Data for Submitted Compounds
title: Collection of Raw MS data for compounds submitted to the SMID-DB.org database.
DOI: 10.5517/ccdc.csd.cc2288j5
title: CCDC 1914576: Experimental Crystal Structure Determination

description: Related Article: Grzegorz Ślifirski, Marek Król, Jerzy Kleps, Piotr Podsadni, Mariusz Belka, Tomasz Bączek, Agata Siwek, Katarzyna Stachowicz, Bernadeta Szewczyk, Gabriel Nowak, Andrzej Bojarski, Anna E. Kozioł, Jadwiga Turło, Franciszek Herold|2019|Eur.J.Med.Chem.|180|383|doi:10.1016/j.ejmech.2019.07.027
DOI: 10.5517/ccdc.csd.cc22bvv4
title: CCDC 1917066: Experimental Crystal Structure Determination

description: Related Article: Abir Sarbajna, Yu-Tao He, Minh Hoan Dinh, Olga Gladkovskaya, S. M. Wahidur Rahaman, Ayumu Karimata, Eugene Khaskin, Sébastien Lapointe, Robert R. Fayzullin, Julia R. Khusnutdinova|2019|Organometallics|38|4409|doi:10.1021/acs.organomet.9b00494
DOI: 10.5517/ccdc.csd.cc22ck34
title: CCDC 1917725: Experimental Crystal Structure Determination

description: Related Article: Liang Feng, Yutong Wang, Kai Zhang, Kun-Yu Wang, Weidong Fan, Xiaokang Wang, Joshua A. Powell, Bingbing Guo, Fangna Dai, Liangliang Zhang, Rongming Wang, Daofeng Sun, Hong-Cai Zhou|2019|Angew.Chem.,Int.Ed.|58|16682|doi:10.1002/anie.201910717
DOI: 10.5517/ccdc.csd.cc22ck45
title: CCDC 1917726: Experimental Crystal Structure Determination

description: Related Article: Liang Feng, Yutong Wang, Kai Zhang, Kun-Yu Wang, Weidong Fan, Xiaokang Wang, Joshua A. Powell, Bingbing Guo, Fangna Dai, Liangliang Zhang, Rongming Wang, Daofeng Sun, Hong-Cai Zhou|2019|Angew.Chem.,Int.Ed.|58|16682|doi:10.1002/anie.201910717
DOI: 10.5517/ccdc.csd.cc22fjbd
title: CCDC 1919623: Experimental Crystal Structure Determination

description: Related Article: Donghui Jo, Suk Bong Hong|2019|Angew.Chem.,Int.Ed.|58|13845|doi:10.1002/anie.201909336
DOI: 10.5517/ccdc.csd.cc22fjcf
title: CCDC 1919624: Experimental Crystal Structure Determination

description: Related Article: Donghui Jo, Suk Bong Hong|2019|Angew.Chem.,Int.Ed.|58|13845|doi:10.1002/anie.201909336
DOI: 10.5517/ccdc.csd.cc22fjdg
title: CCDC 1919625: Experimental Crystal Structure Determination

description: Related Article: Donghui Jo, Suk Bong Hong|2019|Angew.Chem.,Int.Ed.|58|13845|doi:10.1002/anie.201909336
DOI: 10.5517/ccdc.csd.cc22hfnp
title: CCDC 1921462: Experimental Crystal Structure Determination

description: Related Article: Christoph Kieninger, Joseph A. Baker, Maren Podewitz, Klaus Wurst, Steffen Jockusch, Andrew D. Lawrence, Evelyne Deery, Karl Gruber, Klaus R. Liedl, Martin J. Warren, Bernhard Kräutler|2019|Angew.Chem.,Int.Ed.|58|14568|doi:10.1002/anie.201908428
DOI: 10.5517/ccdc.csd.cc22hgxz
title: CCDC 1921501: Experimental Crystal Structure Determination

description: Related Article: Jordan W. Taylor, Alex McSkimming, Laura A. Essex, W. Hill Harman|2019|Chemical Science|10|9084|doi:10.1039/C9SC02792K
DOI: 10.5517/ccdc.csd.cc22hgz1
title: CCDC 1921503: Experimental Crystal Structure Determination

description: Related Article: Jordan W. Taylor, Alex McSkimming, Laura A. Essex, W. Hill Harman|2019|Chemical Science|10|9084|doi:10.1039/C9SC02792K
DOI: 10.5517/ccdc.csd.cc22hh03
title: CCDC 1921504: Experimental Crystal Structure Determination

description: Related Article: Jordan W. Taylor, Alex McSkimming, Laura A. Essex, W. Hill Harman|2019|Chemical Science|10|9084|doi:10.1039/C9SC02792K
DOI: 10.5517/ccdc.csd.cc22k14v
title: CCDC 1922996: Experimental Crystal Structure Determination

description: Related Article: Yunyun Ouyang, Yi Zhang, Zheng Luo, Xing Li, Abing Duan, Shengyi Dong|2019|New J.Chem.|43|14299|doi:10.1039/C9NJ03208H
DOI: 10.5517/ccdc.csd.cc22k15w
title: CCDC 1922997: Experimental Crystal Structure Determination

description: Related Article: Yunyun Ouyang, Yi Zhang, Zheng Luo, Xing Li, Abing Duan, Shengyi Dong|2019|New J.Chem.|43|14299|doi:10.1039/C9NJ03208H
DOI: 10.5517/ccdc.csd.cc22z0qt
title: CCDC 1935476: Experimental Crystal Structure Determination

description: Related Article: Yu-Ting Tian, Yu-Wei Zong, Jing Nie, Fa-Guang Zhang, Jun-An Ma|2019|J.Fluorine Chem.|226|109361|doi:10.1016/j.jfluchem.2019.109361
DOI: 10.5517/ccdc.csd.cc224qvt
title: CCDC 1911176: Experimental Crystal Structure Determination

description: Related Article: Lin Yang, Yuan Shen, Yongzhen Chen, Xiang Pan, Xiuli Wang, Xiang Wang|2019|Inorg.Chem.Commun.|108|107493|doi:10.1016/j.inoche.2019.107493
DOI: 10.5517/ccdc.csd.cc22zkd1
title: CCDC 1935993: Experimental Crystal Structure Determination

description: Related Article: Wen-Juan Wei, Chao Li, Lin-Sui Li, Yun-Zhi Tang, Xing-Xing Jiang, Zhe-Shuai Lin|2019|J.Mater.Chem.C|7|11964|doi:10.1039/C9TC04479E
DOI: 10.5517/ccdc.csd.cc22zkf2
title: CCDC 1935994: Experimental Crystal Structure Determination

description: Related Article: Wen-Juan Wei, Chao Li, Lin-Sui Li, Yun-Zhi Tang, Xing-Xing Jiang, Zhe-Shuai Lin|2019|J.Mater.Chem.C|7|11964|doi:10.1039/C9TC04479E
DOI: 10.5517/ccdc.csd.cc22zkg3
title: CCDC 1935995: Experimental Crystal Structure Determination

description: Related Article: Wen-Juan Wei, Chao Li, Lin-Sui Li, Yun-Zhi Tang, Xing-Xing Jiang, Zhe-Shuai Lin|2019|J.Mater.Chem.C|7|11964|doi:10.1039/C9TC04479E
DOI: 10.5517/ccdc.csd.cc22zkj5
title: CCDC 1935997: Experimental Crystal Structure Determination

description: Related Article: Wen-Juan Wei, Chao Li, Lin-Sui Li, Yun-Zhi Tang, Xing-Xing Jiang, Zhe-Shuai Lin|2019|J.Mater.Chem.C|7|11964|doi:10.1039/C9TC04479E
DOI: 10.5281/zenodo.3865507
title: Thermo-Rheological model of Long Valley Caldera

description: 3D Thermo-Rheological models of Long Valley Caldera presented in Gola G., Barone A., Castaldo R., Chiodini G., D'Auria L., Garcia-Hernandez R., Pepe S., Solaro G. & Tizzani P. "A novel multidisciplinary approach for the thermo-rheological study of volcanic areas: The case study of Long Valley Caldera", which has been submitted for possible publication in Journal of Geophysical Research - Solid Earth. We evaluated the temperature distribution and the brittle-ductile values in a volume of 32×50×30 km<sup>3</sup>, along East, North and depth directions, respectively. The optimized solution of the conductive-convective model is evaluated with a reservoir permeability of 5.0·10<sup>−14</sup> m<sup>2</sup>, a fault-zone permeability of 5.0·10<sup>−14</sup> m<sup>2</sup> and a temperature of the magmatic intrusion beneath the caldera of 800°C. The simulated fluid velocity magnitude (mm/year) along x , y and z directions is given positive eastward, northward and upward, respectively. The purely-conductive temperature distribution used as initial condition of the conductive-convective simulation is also given. Finally, we computed the 3D Brittle-Ductile (BD) stratification by considering the optimized conductive-convective thermal model and using a pore fluid factor, a strain rate and a β value equal to 0.36, 1.2, 10<sup>–9</sup> s<sup>–1</sup>, respectively. Further details on the selected petrophysical parameters can be found in the Tables 2 and 3 of the manuscript. The values of the Thermal and Velocity models are gridded with a regular spacing of 0.25 km. The values of the BD model are gridded with a regular spacing of 0.5 km. Coordinates: North America NAD27 UTM Zone 11N Easting: 311000 - 360000 m.; Northing: 4155000 - 4187000 m.
DOI: 10.5517/ccdc.csd.cc230bl2
title: CCDC 1936743: Experimental Crystal Structure Determination

description: Related Article: Lindong Luan, Ying Zhang, Hongmei Zeng, Guohong Zou, Yong Dai, Xiaoying Zhou, Zhien Lin|2019|Dalton Trans.|48|13130|doi:10.1039/C9DT02703C