cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20134481.v6
title: The effect of zooplankton on the distributions of dimethyl sulfide and dimethylsulfoniopropionate in the Bohai and Yellow Seas

description: We aim to study the effect of zooplankton on the distributions of dimethyl sulfide and dimethylsulfoniopropionate in the Bohai and Yellow Seas. Horizontal and vertical distributions of DMSP, DMSP lyase activity, DMS, and the abundances of bacteria, DMSP-consuming bacteria (DCB), DMSO-consuming bacteria and picophytoplankton in the Bohai Sea (BS) and Yellow Sea (YS) were investigated in autumn 2020. Bacterial community composition was conducted in February of 2021.
DOI: 10.6084/m9.figshare.21746091
title: Keasar et al. Supplementary 3 from Can sociality facilitate learning of complex tasks? Lessons from bees and flowers

description: R code of the function
DOI: 10.6084/m9.figshare.21746091.v1
title: Keasar et al. Supplementary 3 from Can sociality facilitate learning of complex tasks? Lessons from bees and flowers

description: R code of the function
DOI: 10.6084/m9.figshare.21746094
title: Keasar et al. Supplementary 4 from Can sociality facilitate learning of complex tasks? Lessons from bees and flowers

description: bee and flower data
DOI: 10.6084/m9.figshare.21746094.v1
title: Keasar et al. Supplementary 4 from Can sociality facilitate learning of complex tasks? Lessons from bees and flowers

description: bee and flower data
DOI: 10.34740/kaggle/dsv/4736400
title: Mahanagar Yatayat Dataset
DOI: 10.5517/ccdc.csd.cc2bbcbd
title: CCDC 2154913: Experimental Crystal Structure Determination

description: Related Article: Jinying Pang, Qifeng Gao, Lili Yin, Shuhua Zhang|2022|Int.J.Biol.Macromol.|224|568|doi:10.1016/j.ijbiomac.2022.10.145
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.cc2cc2tn
title: CCDC 2185401: Experimental Crystal Structure Determination

description: Related Article: Jonathan Slaughter, Chloe Coates, George Phillips, Dipanjana Choudhury, Andrew D. Bond, Clare P. Grey, Dominic S. Wright|2022|Inorg.Chem.|61|19203|doi:10.1021/acs.inorgchem.2c02852
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.cc2cc2vp
title: CCDC 2185402: Experimental Crystal Structure Determination

description: Related Article: Jonathan Slaughter, Chloe Coates, George Phillips, Dipanjana Choudhury, Andrew D. Bond, Clare P. Grey, Dominic S. Wright|2022|Inorg.Chem.|61|19203|doi:10.1021/acs.inorgchem.2c02852
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.cc2cc2wq
title: CCDC 2185403: Experimental Crystal Structure Determination

description: Related Article: Jonathan Slaughter, Chloe Coates, George Phillips, Dipanjana Choudhury, Andrew D. Bond, Clare P. Grey, Dominic S. Wright|2022|Inorg.Chem.|61|19203|doi:10.1021/acs.inorgchem.2c02852
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.cc2cc2xr
title: CCDC 2185404: Experimental Crystal Structure Determination

description: Related Article: Jonathan Slaughter, Chloe Coates, George Phillips, Dipanjana Choudhury, Andrew D. Bond, Clare P. Grey, Dominic S. Wright|2022|Inorg.Chem.|61|19203|doi:10.1021/acs.inorgchem.2c02852
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.cc2cc2ys
title: CCDC 2185405: Experimental Crystal Structure Determination

description: Related Article: Jonathan Slaughter, Chloe Coates, George Phillips, Dipanjana Choudhury, Andrew D. Bond, Clare P. Grey, Dominic S. Wright|2022|Inorg.Chem.|61|19203|doi:10.1021/acs.inorgchem.2c02852
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/4716911
title: Swiggy Indian Restraurant and Item Full Datasets
DOI: 10.34740/kaggle/dsv/4736591
title: Cristiano Ronaldo | All Club Goals
DOI: 10.6084/m9.figshare.21737069.v1
title: EF-X crystal MD EGFP calculated electron density maps

description: There will be five zipped files (2 uploaded so far), one for the average electron density map computed from a single replicate of crystal MD simulation of EGFP according to the procedures described in the project notebooks on GitHub. <br> The filenames in each folder are composed of multiple parts: 1. Simulation condition, e.g., EF_10MV_cm means electric field strength at 10MV/cm. 2. chainwise_{phase}, where phase is from {positive, negative, or zero}, and it stands for the corresponding phase of the EF pulses for which we compute the average density map. 3. subtraj_{chain_id}_avg, where chain_id ranges from 0 to 3 indexes the protein chains in our EGFP unit cell used for simulation. <br> Thus, combinatorially, there will be 12 average electron density map files in each folder. The files should be read with visualization softwares like Coot. <br> Finally, we also provide the "ground truth" density map obtained from experiment and the corresponding molecular coordinates, named as "GFP_SSRL_refine_54_final.mtz" and "GFP_SSRL_final.pdb"
DOI: 10.25919/t0jk-1e47
title: Parkes observations for project P1147 semester 2022APRS_05

description: Searching for the eclipsing millisecond pulsars with low-mass companions, namely black widow pulsars, led to the discovery of the first exoplanet. The properties and formation scenarios of the planetary-mass companions around millisecond pulsars are still unsolved questions. The companions and their atmospheres are likely to be ablated by the irradiation and the pulsar wind. We propose to probe atomic and molecular compositions in the gas ablated from the companion by searching for absorption lines or even maser emission against pulsars and simultaneously measure the magnetic field strengths directly through Zeeman splitting. Any detection would be a major discovery and thus help constrain the evolutionary history and the formation scenarios of planetary-mass companions of pulsars.
DOI: 10.5281/zenodo.7452201
title: Irrigation water source matters: Saline groundwater irrigation lowers date palm root-associated fungal richness and alters their community patterns

description: Saline groundwater irrigation is predominantly used for date palm (<em>Phoenix dactylifera</em>) cultivation in the arid regions of the Middle East and North Africa without knowing its impact on root-associated fungal (RAF) communities. We investigated the impact of irrigation water sources (freshwater <em>vs.</em> saline groundwater) on date palm RAF diversity, communities, and their assembly processes. Summarily, we show that water chemistry (pH and EC) mainly structures RAF communities, whereas water pH shapes saprotrophic and pathotrophic communities, and the higher abundance of saprotrophic RAF (i.e. <em>Acrocalymma vagum</em>) under saline groundwater irrigation, despite the higher importance of the drift process, indicates their potential role in nutrient cycling and plant growth promotion under saline conditions in arid agroecosystems.
DOI: 10.5281/zenodo.7452200
title: Irrigation water source matters: Saline groundwater irrigation lowers date palm root-associated fungal richness and alters their community patterns

description: Saline groundwater irrigation is predominantly used for date palm (<em>Phoenix dactylifera</em>) cultivation in the arid regions of the Middle East and North Africa without knowing its impact on root-associated fungal (RAF) communities. We investigated the impact of irrigation water sources (freshwater <em>vs.</em> saline groundwater) on date palm RAF diversity, communities, and their assembly processes. Summarily, we show that water chemistry (pH and EC) mainly structures RAF communities, whereas water pH shapes saprotrophic and pathotrophic communities, and the higher abundance of saprotrophic RAF (i.e. <em>Acrocalymma vagum</em>) under saline groundwater irrigation, despite the higher importance of the drift process, indicates their potential role in nutrient cycling and plant growth promotion under saline conditions in arid agroecosystems.
DOI: 10.6084/m9.figshare.21746161
title: Code for model numerical simulations from Mutualistic coevolution and community diversity favour persistence in metacommunities under environmental changes

description: Code and instructions to perform numerical simulations of the model
DOI: 10.6084/m9.figshare.21746161.v1
title: Code for model numerical simulations from Mutualistic coevolution and community diversity favour persistence in metacommunities under environmental changes

description: Code and instructions to perform numerical simulations of the model
DOI: 10.6084/m9.figshare.21746165
title: Organizational Wisdom Scale - Validation

description: ....
DOI: 10.6084/m9.figshare.21746165.v1
title: Organizational Wisdom Scale - Validation

description: ....
DOI: 10.25919/sr4x-as22
title: Parkes observations for project P1170 semester 2022OCTS_11

description: We request 15.5 hours of observations with the Parkes UWL receiver to search for giant pulses (GPs) in all seven pulsars in the Southern sky which are known to exhibit this phenomenon. The UWL receiver is particularly well-suited to such a study, since some GPs from known emitters have been found to be very narrow-band and so the observed emission rate is likely to be highly frequency-dependent. Additionally, the wide bandwidth allows one to detect spectral structures such as the 'banding' effect recently observed in GPs from some pulsars, similar to that observed in the spectra of fast radio bursts. These observations should provide a wealth of information about the underlying GP emission mechanism, and a stringent test of current theories.
DOI: 10.21942/uva.21746216
title: Biased polar questions in Sign Language of the Netherlands - 3D data set

description: The complete 3D data set of facial blendshapes recorded in a production experiment to study biased polar questions in Sign Language of the Netherlands.
DOI: 10.21942/uva.21746216.v1
title: Biased polar questions in Sign Language of the Netherlands - 3D data set

description: The complete 3D data set of facial blendshapes recorded in a production experiment to study biased polar questions in Sign Language of the Netherlands.
DOI: 10.5281/zenodo.7452389
title: A Lagrangian analysis of the sources of rainfall over the Horn of Africa Drylands

description: This repository contains datasets required to reproduce the figures in the paper titled "A Lagrangian analysis of the sources of rainfall over the Horn of Africa Drylands" The relevant codes for generating the figures can be found in the following repository: https://github.com/akashkoppa/HAD-Moisture-Source
DOI: 10.6084/m9.figshare.21746258
title: Suplementary tables

description: Table S1: Information regarding the 169 publicly available genomes obtained from NCBI database; <br> Table S2: Taxonomic identification of isolates; <br> Table S3: Classes of plant growth-promoting genes found in each of the genomes; <br> Table S4: Biosynthetic gene clusters identified from the 169 publicly genomic sequences available for soil bacteria
DOI: 10.6084/m9.figshare.21746258.v1
title: Suplementary tables

description: Table S1: Information regarding the 169 publicly available genomes obtained from NCBI database; <br> Table S2: Taxonomic identification of isolates; <br> Table S3: Classes of plant growth-promoting genes found in each of the genomes; <br> Table S4: Biosynthetic gene clusters identified from the 169 publicly genomic sequences available for soil bacteria
DOI: 10.6084/m9.figshare.21746261
title: Material Suplementario.docx

description: Suplemmentary material of the manuscript entitled: How the digital transformation of european public media impacts on their mission and vision?
DOI: 10.6084/m9.figshare.21746261.v1
title: Material Suplementario.docx

description: Suplemmentary material of the manuscript entitled: How the digital transformation of european public media impacts on their mission and vision?
DOI: 10.6084/m9.figshare.21280362
title: TourismNLGModels

description: These are mT5 and mBART models trained on tourism related data from the TourismNLG benchmark. <br> Please cite our work if you use these models. <br> Sahil Manoj Bhatt, Sahaj Agarwal, Omkar Gurjar, Manish Gupta, Manish Shrivastava. TourismNLG: A Multi-lingual Generative Benchmark for the Tourism Domain. 45th European Conference on Information Retrieval (ECIR). Apr 2-6, 2023. Dublin, Ireland.
DOI: 10.6084/m9.figshare.21280362.v1
title: TourismNLGModels

description: These are mT5 and mBART models trained on tourism related data from the TourismNLG benchmark. <br> Please cite our work if you use these models. <br> Sahil Manoj Bhatt, Sahaj Agarwal, Omkar Gurjar, Manish Gupta, Manish Shrivastava. TourismNLG: A Multi-lingual Generative Benchmark for the Tourism Domain. 45th European Conference on Information Retrieval (ECIR). Apr 2-6, 2023. Dublin, Ireland.
DOI: 10.5281/zenodo.7452520
title: Prediction of inter-chain distance maps of protein complexes with 2D attention-based deep neural networks

description: Residue-residue distance information is useful for predicting tertiary structures of protein monomers or quaternary structures of protein complexes. Many deep learning methods have been developed to predict intra-chain residue-residue distances of monomers accurately, but few methods can accurately predict inter-chain residue-residue distances of complexes. We develop a deep learning method CDPred (i.e., Complex Distance Prediction) based on the 2D attention-powered residual network to address the gap. Tested on two homodimer datasets, CDPred achieves the precision of 60.94% and 42.93% for top L/5 inter-chain contact predictions (L: length of the monomer in homodimer), respectively, substantially higher than DeepHomo’s 37.40% and 23.08% and GLINTER’s 48.09% and 36.74%. Tested on the two heterodimer datasets, the top Ls/5 inter-chain contact prediction precision (Ls: length of the shorter monomer in heterodimer) of CDPred is 47.59% and 22.87% respectively, surpassing GLINTER’s 23.24% and 13.49%. Moreover, the prediction of CDPred is complementary with that of AlphaFold2-multimer.
DOI: 10.5281/zenodo.7452519
title: Prediction of inter-chain distance maps of protein complexes with 2D attention-based deep neural networks

description: Residue-residue distance information is useful for predicting tertiary structures of protein monomers or quaternary structures of protein complexes. Many deep learning methods have been developed to predict intra-chain residue-residue distances of monomers accurately, but few methods can accurately predict inter-chain residue-residue distances of complexes. We develop a deep learning method CDPred (i.e., Complex Distance Prediction) based on the 2D attention-powered residual network to address the gap. Tested on two homodimer datasets, CDPred achieves the precision of 60.94% and 42.93% for top L/5 inter-chain contact predictions (L: length of the monomer in homodimer), respectively, substantially higher than DeepHomo’s 37.40% and 23.08% and GLINTER’s 48.09% and 36.74%. Tested on the two heterodimer datasets, the top Ls/5 inter-chain contact prediction precision (Ls: length of the shorter monomer in heterodimer) of CDPred is 47.59% and 22.87% respectively, surpassing GLINTER’s 23.24% and 13.49%. Moreover, the prediction of CDPred is complementary with that of AlphaFold2-multimer.
DOI: 10.6084/m9.figshare.21746279
title: SoilMoisture&Temperature.xlsx

description: Dataset of hourly soil moisture and soil temperaure measurements at drain gauge plots. Blank cells = no data collected, #N/A = error in data collected.
DOI: 10.6084/m9.figshare.19406786
title: Turbulent coherent flow structures to predict the behavior of particles with low to intermediate stokes number between obstacles in streams

description: Data presented and discussed on "Turbulent coherent flow structures to predict the behavior of particles with low to intermediate stokes number between obstacles in streams", by Hojung You and Rafael O. Tinoco submitted to <em>Water Resources Research.</em>
DOI: 10.6084/m9.figshare.19406786.v1
title: On the Use of Turbulent Coherent Flow Structures to Predict Capture and Retention Time of Particulate Matter within Submerged Obstacles in Streams.

description: Data presented and discussed on "Turbulent coherent flow structures to predict the behavior of particles with low to intermediate stokes number between obstacles in streams", by Hojung You and Rafael O. Tinoco submitted to <em>Water Resources Research.</em>
DOI: 10.18112/openneuro.ds004371.v1.0.0
title: PURSUE ERN Flanker Task
DOI: 10.25573/data.21422193.v3
title: BHL Optical Character Recognition (OCR) - Full Text Export (new)

description: A full export of the 60+ million pages of OCR content in the Biodiversity Heritage Library.
DOI: 10.6084/m9.figshare.21737069
title: EF-X crystal MD EGFP calculated electron density maps

description: The entirety of the dataset is contained in the processed_data zip file. There will be six folders inside. For convenience, we also uploaded the zip file for each of these folders. <br> The first five folder each contains the average electron density map computed from a single replicate of crystal MD simulation of EGFP according to the procedures described in the project notebooks on GitHub. The last one contains aggregated maps using data from all replicates and all protein chains. <br> The filenames in the first five folder are composed of multiple parts: 1. Simulation condition, e.g., EF_10MV_cm means electric field strength at 10MV/cm. 2. partial_{n_epochs}, where n_epochs * 0.01 is the duration of trajectory (ns) used for averaging, e.g., partial_150 means a 1.5ns-long trajectory is used. 3. chainwise_{phase}, where phase is from {positive, negative, or zero}, and it stands for the corresponding phase of the EF pulses for which we compute the average density map. 4. subtraj_{chain_id}_avg, where chain_id ranges from 0 to 3. indexes the protein chains in our EGFP unit cell used for simulation. <br> There are also internal and ordinary difference maps (see notebooks for definition). The naming convention is as such: 1. diff_{chain_id}_{phase_1}_{phase_2} refers to an ordinary difference map between the two phases of EF pulse. 2. diff_{phase}_{chain_id_1}_{chain_id_2} refers to an internal difference map between two chains. <br> Finally, we also provide the "ground truth" density map obtained from experiment and the corresponding molecular coordinates, named as "GFP_SSRL_refine_54_final.mtz" and "GFP_SSRL_final.pdb"
DOI: 10.6084/m9.figshare.21737069.v3
title: EF-X crystal MD EGFP calculated electron density maps

description: The entirety of the dataset is contained in the processed_data zip file. There will be six folders inside. For convenience, we also uploaded the zip file for each of these folders. <br> The first five folder each contains the average electron density map computed from a single replicate of crystal MD simulation of EGFP according to the procedures described in the project notebooks on GitHub. The last one contains aggregated maps using data from all replicates and all protein chains. <br> The filenames in the first five folder are composed of multiple parts: 1. Simulation condition, e.g., EF_10MV_cm means electric field strength at 10MV/cm. 2. partial_{n_epochs}, where n_epochs * 0.01 is the duration of trajectory (ns) used for averaging, e.g., partial_150 means a 1.5ns-long trajectory is used. 3. chainwise_{phase}, where phase is from {positive, negative, or zero}, and it stands for the corresponding phase of the EF pulses for which we compute the average density map. 4. subtraj_{chain_id}_avg, where chain_id ranges from 0 to 3. indexes the protein chains in our EGFP unit cell used for simulation. <br> There are also internal and ordinary difference maps (see notebooks for definition). The naming convention is as such: 1. diff_{chain_id}_{phase_1}_{phase_2} refers to an ordinary difference map between the two phases of EF pulse. 2. diff_{phase}_{chain_id_1}_{chain_id_2} refers to an internal difference map between two chains. <br> Finally, we also provide the "ground truth" density map obtained from experiment and the corresponding molecular coordinates, named as "GFP_SSRL_refine_54_final.mtz" and "GFP_SSRL_final.pdb"
DOI: 10.6084/m9.figshare.21737069.v2
title: EF-X crystal MD EGFP calculated electron density maps

description: The entirety of the dataset is contained in the processed_data zip file. There will be six folders inside. For convenience, we also uploaded the zip file for each of these folders. <br> The first five folder each contains the average electron density map computed from a single replicate of crystal MD simulation of EGFP according to the procedures described in the project notebooks on GitHub. The last one contains aggregated maps using data from all replicates and all protein chains. <br> The filenames in the first five folder are composed of multiple parts: 1. Simulation condition, e.g., EF_10MV_cm means electric field strength at 10MV/cm. 2. partial_{n_epochs}, where n_epochs * 0.01 is the duration of trajectory (ns) used for averaging, e.g., partial_150 means a 1.5ns-long trajectory is used. 3. chainwise_{phase}, where phase is from {positive, negative, or zero}, and it stands for the corresponding phase of the EF pulses for which we compute the average density map. 4. subtraj_{chain_id}_avg, where chain_id ranges from 0 to 3. indexes the protein chains in our EGFP unit cell used for simulation. <br> There are also internal and ordinary difference maps (see notebooks for definition). The naming convention is as such: 1. diff_{chain_id}_{phase_1}_{phase_2} refers to an ordinary difference map between the two phases of EF pulse. 2. diff_{phase}_{chain_id_1}_{chain_id_2} refers to an internal difference map between two chains. <br> Finally, we also provide the "ground truth" density map obtained from experiment and the corresponding molecular coordinates, named as "GFP_SSRL_refine_54_final.mtz" and "GFP_SSRL_final.pdb"
DOI: 10.5281/zenodo.7452580
title: merged data

description: data set for project
DOI: 10.5281/zenodo.7452579
title: merged data

description: data set for project
DOI: 10.5281/zenodo.7452663
title: merged-data-7000

description: data
DOI: 10.5281/zenodo.7452662
title: merged-data-7000

description: data