cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7281/t1154f09/9n2rah
title: 6_Bayesian_inference_codes_for_FEL_DL.zip

description: Experiment and analysis results and jump matrix generator codes for the free energy and diffusivity landscapes in Fig. 6 & 7. Fortran code for Bayesian Inference available by request to Dr. Bevan [mabevan@jhu.edu]. Jump Matrix generator codes are run first, to make input for Bayesian Inference Code to generate the FEL (c.f., related papers)
DOI: 10.7281/t1154f09/9woby8
title: 2_Perturbation_theory_files.zip

description: Perturbation Theory (PT) file (MS Excel format) with previously measured electric field potentials. PT calculations were used to generate predictions of minimum voltage for particles to form a crystal. Used for Fig. 2 (and see Supplemental Info).
DOI: 10.7281/t1154f09/c8ul2h
title: 4_VideoMicroscopy_Fig3.zip

description: Video microscopy movies and Fig. 3's representative extracted images from these movies of colloid configurations as a function of system size and applied voltage (Movies are in Windows Media Video format & screen captures from Fig. 3 are in tiff format). All tiffs and AVIs are named according to the number of particles in the file and the voltage applied to those particles.
DOI: 10.7281/t1154f09/lsw6ex
title: 3_MC_codes_README.rtf

description: Fortran codes for Monte Carlo simulations used to validate agreement between PT voltage predictions and microscopy experiments. Used for Fig. 2 (and c.f Supplemental Info). Fortran code available by request to Dr. Bevan [mabevan@jhu.edu].
DOI: 10.7281/t1154f09/mvzdn5
title: Edwards_Beltran2013_Figures&Table.pdf

description: PDF file with all figures used in publication (Edwards, Beltran 2013) converted from MS Powerpoint format. (Does not include full published figure caption.)
DOI: 10.7281/t1154f09/yi2ab3
title: 5_SigmaPlot_graphs_data_for_Fig2-7_S1_S2.zip

description: Tabular data used to plot figures 2-7, S1 and S2 in a SigmaPlot formatted file, also available as exported individual tables. These data contain the original numbers and arrangement used to create the publication figures. They may vary in their direct relevance to original data used during the corresponding stages of the study, but may contain data not included elsewhere in the collection.
DOI: 10.7281/t1154f09/kkfvmo
title: 1B_TIFF_output_for_1A_2.zip

description: Contains raw TIFF files associated with download file 1A generated by ‘MatLab codes for experiments’ code set, and assembled by ‘MatLab code for movies.' This is an optional download for recreating movies from code (see readme file in file 1A) or viewing video frames not included in publication. Resulting movies and frame images for Fig1 are in download file 1.
DOI: 10.24431/rw1k7de
title: Gulf Watch Ocean Acidification Monitoring, year 2020 to year 2023. Samples collected from the science cruises conducted by the Prince William Sound Science Center and the Katchemak Bay National Estuarine Research Reserve. Samples were processed at the Alutiiq Pride Marine Center's Ocean Acidification Research Laboratory.

description: These data are part of the Gulf Watch Alaska (GWA) Non-Program Project initative, Pelagic Component of the Exxon Valdez Oil Spill Trustee Council, project number 22200127. Gulf Watch Alaska is the long-term ecosystem monitoring program of the Exxon Valdez Oil Spill Trustee Council for the marine ecosystem affected by the 1989 oil spill. The Chugach Regional Resources Commission (CRRC) operates the Alutiiq Pride Marine Institute (APMI), and its Ocean Acidification Research Laboratory (OAR Lab), in Seward Alaska. This project incorporates dissolved inorganic carbon (DIC) sampling for the purposes of quantifying ocean acidification into the Gulf Watch Program currently funded by Exxon Valdez Oil Spill Trustee Council (EVOSTC). The Gulf Watch program, through its routine sampling, has added the collection of DIC samples to several of its sampling sites. This has added to the current data sets from these locations and offers a broader understanding of ocean acidification in Prince William Sound and Lower Cook Inlet. The Prince William Sound Science Center (PWSSC) and the Kachemak Bay National Estuarine Research Reserve (KBNERR) are current partners in the Gulf Watch program and routinely conduct marine (vessel-based) sampling transects on a time series. The cost to sample and process DIC samples ($34,323 per year) is the only additional cost to the PWSSC and KBNERR existing programs and would go directly to CRRC.
DOI: 10.24431/rw1k7df
title: Gulf Watch Ocean Acidification Monitoring, year 2020 to year 2022. Samples collected from the science cruises conducted by the Prince William Sound Science Center and the Katchemak Bay National Estuarine Research Reserve. Samples were processed at the Alutiiq Pride Marine Center's Ocean Acidification Research Laboratory.

description: These data are part of the Gulf Watch Alaska (GWA) Non-Program Project initative, Pelagic Component of the Exxon Valdez Oil Spill Trustee Council, project number 22200127. Gulf Watch Alaska is the long-term ecosystem monitoring program of the Exxon Valdez Oil Spill Trustee Council for the marine ecosystem affected by the 1989 oil spill. The Chugach Regional Resources Commission (CRRC) operates the Alutiiq Pride Marine Institute (APMI), and its Ocean Acidification Research Laboratory (OAR Lab), in Seward Alaska. This project incorporates dissolved inorganic carbon (DIC) sampling for the purposes of quantifying ocean acidification into the Gulf Watch Program currently funded by Exxon Valdez Oil Spill Trustee Council (EVOSTC). The Gulf Watch program, through its routine sampling, has added the collection of DIC samples to several of its sampling sites. This has added to the current data sets from these locations and offers a broader understanding of ocean acidification in Prince William Sound and Lower Cook Inlet. The Prince William Sound Science Center (PWSSC) and the Kachemak Bay National Estuarine Research Reserve (KBNERR) are current partners in the Gulf Watch program and routinely conduct marine (vessel-based) sampling transects on a time series. The cost to sample and process DIC samples ($34,323 per year) is the only additional cost to the PWSSC and KBNERR existing programs and would go directly to CRRC.
DOI: 10.6084/m9.figshare.22534981
title: Metadynamics enhanced training Datasets, DFT-SCAN accurate GAP Model and MD trajectories for "AL4GAP: Active Learning Workflow for generating DFT-SCAN Accurate Machine-Learning Potentials for Combinatorial Molten Salt Mixtures"

description: Metadynamics enhanced training Datasets, DFT-SCAN accurate GAP Model and MD trajectories for "AL4GAP: Active Learning Workflow for generating DFT-SCAN Accurate Machine-Learning Potentials for Combinatorial Molten Salt Mixtures" <br> <br>
DOI: 10.21227/7r0c-mf67
title: Laser-induced fluorescence spectral data of humic acid solution in different noise patterns

description: The dataset contains laser-induced fluorescence spectral data in different noise modes. We used sodium humate and glucose according to the prepared solutions.First, we prepared 100 mg per liter of f sodium humate solution A and glucose solution B. Depending on the molecular weight, solution A was prepared using 100 ml of water and 0.0149 g of sodium humate. solution B was prepared using 100 ml of water and 0.01584 g of glucose.Subsequently, solution A and solution B were mixed in a ratio of 1:29 to obtain 100 mg per liter of sodium humate and glucose solution C.Finally, solution C was diluted to obtain solutions of different concentrations for measurement.We measured the COD of solution using a laser-induced fluorescence spectrometer, in which a 405 nm semiconductor laser was used as the excitation source for the spectrometer. The excited light signals from the test water sample pass through a filter, spectroscopic system and be focused into the CCD by a lens.
DOI: 10.5281/zenodo.7796598
title: Multitemporal hyperspepectral datasets for unmixing

description: Dataset containing synthetic and real multitemporal hyperspectral images for the evaluation of dynamical hypersepctral unmixing algorithms, related to the repository https://github.com/ricardoborsoi/ReDSUNN and to the paper: <pre><code>Dynamical Hyperspectral Unmixing with Variational Recurrent Neural Networks R.A. Borsoi, T. Imbiriba, P Closas. IEEE Transactions on Image Processing, 2023.</code></pre>
DOI: 10.5281/zenodo.7796597
title: Multitemporal hyperspepectral datasets for unmixing

description: Dataset containing synthetic and real multitemporal hyperspectral images for the evaluation of dynamical hypersepctral unmixing algorithms, related to the repository https://github.com/ricardoborsoi/ReDSUNN and to the paper: <pre><code>Dynamical Hyperspectral Unmixing with Variational Recurrent Neural Networks R.A. Borsoi, T. Imbiriba, P Closas. IEEE Transactions on Image Processing, 2023.</code></pre>
DOI: 10.13140/rg.2.2.12586.90564
title: Mapeo de Encadenamientos Productivos de Paraguay
DOI: 10.6084/m9.figshare.22539091.v1
title: PCN_2013-03-16_2013-03-18m_D.dat

description: PC data for NH, used in figure 9
DOI: 10.6084/m9.figshare.22539073
title: PCS_2013-03-16_2013-03-18m_D.dat

description: PC data for SH, used in figure 9
DOI: 10.6084/m9.figshare.22539811
title: mar17-18_2013_sh.bin

description: AMIE input for SH
DOI: 10.6084/m9.figshare.22539835.v1
title: mar17-18_2013_nh.bin

description: AMIE input for NH
DOI: 10.6084/m9.figshare.22534969
title: 2013_GOCE_Time_Series.pkl

description: TEC and nuetral density time series, used in figure 8
DOI: 10.6084/m9.figshare.22537513.v1
title: TECPolarPlot.pkl

description: Figure with underlying data for TEC, used in figure 6
DOI: 10.6084/m9.figshare.22539091
title: PCN_2013-03-16_2013-03-18m_D.dat

description: PC data for NH, used in figure 9
DOI: 10.6084/m9.figshare.22534969.v1
title: 2013_GOCE_Time_Series.pkl

description: TEC and nuetral density time series, used in figure 8
DOI: 10.6084/m9.figshare.22534978
title: New_2013_AMIE_Time_Series.pkl

description: Figure with underlying data for AMIE, used in figure 1 and 3
DOI: 10.6084/m9.figshare.22537564.v1
title: WeimerPolarPlot.pkl

description: Figure with underlying data for Weimer-FRE, used in figure 4
DOI: 10.6084/m9.figshare.22539835
title: mar17-18_2013_nh.bin

description: AMIE input for NH
DOI: 10.6084/m9.figshare.22539811.v1
title: mar17-18_2013_sh.bin

description: AMIE input for SH
DOI: 10.6084/m9.figshare.22537543
title: AMIEPolarPlot.pkl

description: Figure with underlying data for AMIE, used in figure 5
DOI: 10.6084/m9.figshare.22534975
title: New_2013_Weimer_Time_Series.pkl

description: Figure with underlying data for Weimer-FRE, used in figures 1 and 2
DOI: 10.6084/m9.figshare.22534978.v1
title: New_2013_AMIE_Time_Series.pkl

description: Figure with underlying data for AMIE, used in figure 1 and 3
DOI: 10.6084/m9.figshare.22537513
title: TECPolarPlot.pkl

description: Figure with underlying data for TEC, used in figure 6
DOI: 10.6084/m9.figshare.22534975.v1
title: New_2013_Weimer_Time_Series.pkl

description: Figure with underlying data for Weimer-FRE, used in figures 1 and 2
DOI: 10.6084/m9.figshare.22534972
title: 2013_TEC_Weim_Time_Series.pkl

description: TEC time series from Weimer-FRE, used in figure 7 and table 1
DOI: 10.6084/m9.figshare.22534972.v1
title: 2013_TEC_Weim_Time_Series.pkl

description: TEC time series from Weimer-FRE, used in figure 7 and table 1
DOI: 10.6084/m9.figshare.22537543.v1
title: AMIEPolarPlot.pkl

description: Figure with underlying data for AMIE, used in figure 5
DOI: 10.6084/m9.figshare.22534966
title: 2013_TEC_Data_Time_Series.pkl

description: TEC time series from Madrigal, used in figure 7 and table 1
DOI: 10.6084/m9.figshare.22534966.v1
title: 2013_TEC_Data_Time_Series.pkl

description: TEC time series from Madrigal, used in figure 7 and table 1
DOI: 10.6084/m9.figshare.22545007.v1
title: Data_Zhang et al_2023.xlsx

description: 1. Biodiversity is threatened by global changes, but related research has focused primarily on species or functional group diversity, neglecting their interaction networks. The latter are particularly sensitive to global changes and essential for biodiversity maintenance. Further, multiple global change factors are typically examined separately, rather than in concert which is more realistic in nature. 2. To explore the responses of arthropod networks to multiple global changes, we conducted a field experiment in temperate grassland in northeast China, in which nitrogen (N) deposition, drought, snowmelt timing and their interactions were manipulated. We constructed and assessed networks of arthropod functional groups, and explored their responses to changes in plant communities and the abiotic environments. 3. Nitrogen addition decreased arthropod network complexity because increased foliar N and simplified plant community strengthened trophic chains along a single pathway, weakening the net effect of other pathways. However, experimental drought decreased network complexity by filtering out plant species and changing micro-habitats. While delayed snowmelt significantly increased arthropod abundance only in early spring, its interaction with N addition or with drought had various impacts on arthropod functional groups. Our results suggest that the interaction of arthropod consumers with plant species richness and with plant nutrients finally reduced the robustness, connectedness and function of entire species/functional group networks in response to global change factors. 4. In conclusion, species loss and increasing plant nutrient concentrations are key factors simplifying networks under multiple global changes, and such simplification is likely to be strengthened if coupled with changes in micro-habitats. Our study highlighted that the interactive effects of multiple global change factors should be studied in concert, even though they occur in different seasons, so that their effects on ecological networks can be perceived as a panorama.
DOI: 10.6084/m9.figshare.22546630.v1
title: Ilmenite_Conductivity

description: Electrical conductivity data of ilmenite at high pressures and temperature under reducing conditions.
DOI: 10.6084/m9.figshare.22546630
title: Ilmenite_Conductivity

description: Electrical conductivity data of ilmenite at high pressures and temperature under reducing conditions.
DOI: 10.6084/m9.figshare.22546621
title: Glucose dehydrogenases-mediated heat acclimation.xlsx

description: Glucose dehydrogenases-mediated heat acclimation of an important rice pest, the rice leaf folder.
DOI: 10.6084/m9.figshare.22546621.v1
title: Glucose dehydrogenases-mediated heat acclimation.xlsx

description: Glucose dehydrogenases-mediated heat acclimation of an important rice pest, the rice leaf folder.
DOI: 10.6084/m9.figshare.22546639.v1
title: Supplementary Scripts

description: Supplementary Scripts related to PhD thesis "Transcriptomic Plasticity of the Core Hypothalamic Osmoregulatory Control Centre of the Arabian Dromedary Camel ". Author: Panjiao Lin. University of Bristol. Jan 2023. <br> <strong>Supplementary Scripts: Bioinformatic scripts for differential expression analysis between DH and control camels.</strong>
DOI: 10.6084/m9.figshare.22546639
title: Supplementary Scripts

description: Supplementary Scripts related to PhD thesis "Transcriptomic Plasticity of the Core Hypothalamic Osmoregulatory Control Centre of the Arabian Dromedary Camel ". Author: Panjiao Lin. University of Bristol. Jan 2023. <br> <strong>Supplementary Scripts: Bioinformatic scripts for differential expression analysis between DH and control camels.</strong>
DOI: 10.6084/m9.figshare.22525099
title: Main Figures

description: Data and code to recreate main figures in Identifying Properties of Pattern Completion Neurons in a Computational Model of the Visual Cortex
DOI: 10.34740/kaggle/dsv/5308393
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.34740/kaggle/dsv/5308388
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.6084/m9.figshare.22547011
title: All Figures

description: Code and Data to recreate all figures in "Identifying Properties of Pattern Completion Neurons in a Computational Model of the Visual Cortex"
DOI: 10.6084/m9.figshare.22547011.v1
title: All Figures

description: Code and Data to recreate all figures in "Identifying Properties of Pattern Completion Neurons in a Computational Model of the Visual Cortex"
DOI: 10.6084/m9.figshare.22276525
title: Negative energy balance hinders prosocial helping behavior

description: Raw data corresponding to the study "Negative energy balance hinders prosocial helping behavior".
DOI: 10.6084/m9.figshare.21916023
title: Datafile Forshaga 2010-2012

description: This is a dataset of mosquito species collected in Forshaga municipality, Sweden in 2010-2012. It includes collection date, (written as year, month, day), week, sampling site, estimated number of individuals for identified mosquito species and the functional group they belong to. <br> Note that the dataset does not include zero-catches, thus sampling effort is not described here. For further details of the data (including sampling effort and geographical coordinates), and reference, see publication. <br>
DOI: 10.5519/qd.4r2tjh8a
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (44 records)
DOI: 10.18112/openneuro.ds003823.v1.3.3
title: Heart rate variability biofeedback training and emotion regulation
DOI: 10.13140/rg.2.2.30622.41288
title: Soal Latihan Anggaran - Anggaran Komprehensif, Anggaran Penjualan & Anggaran Produksi
DOI: 10.13140/rg.2.2.13845.19681
title: Soal Latihan Anggaran - Anggaran Komprehensif, Anggaran Penjualan & Anggaran Produksi
DOI: 10.13140/rg.2.2.27266.96963
title: Soal Latihan Anggaran - Anggaran Komprehensif, Anggaran Penjualan & Anggaran Produksi
DOI: 10.6084/m9.figshare.19688854
title: Burst Information & waiting time

description: All parameters and waiting time of the 1863 bursts from repeating FRB 20201124A detected by the Five-hundred-meter Aperture Spherical radio Telescope (FAST) during April and May, 2021. These data are used in the paper "<strong>A fast radio burst source at a complex magnetised site in a barred galaxy"</strong>
DOI: 10.5517/ccdc.csd.cc2dqh1p
title: CCDC 2226142: Experimental Crystal Structure Determination

description: Related Article: Yan Li, Meng Wang, Guoping Yang, Yao-Yu Wang|2023|Inorg.Chem.|62|4735|doi:10.1021/acs.inorgchem.3c00249
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.cc2dqh2q
title: CCDC 2226143: Experimental Crystal Structure Determination

description: Related Article: Yan Li, Meng Wang, Guoping Yang, Yao-Yu Wang|2023|Inorg.Chem.|62|4735|doi:10.1021/acs.inorgchem.3c00249
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: 10.6084/m9.figshare.20066630
title: Kikai Geochemical Database

description: <strong>The material is privatery available for the peer-review process.</strong> <strong>Once the related article (see below) has been published, these materials also become published in this platform and will be updated time to time.</strong> <br> <br> This dataset is a geochemical database including eruptive materials from the Kikai volcano, southwest Japan. The dataset is compiled based on geochemical data reported in various papers and proceedings from both domestic Japanese and international journals. The database contains all available major- and trace-element concentrations, isotopic ratios, geographical coordinates (latitude, longitude, and altitude) of sampling points, age data, refractive index, and geological and petrological information. <br> 2022.12.2 Updated according to the review 2022.11.15 Updated according to the review 2022.6.14 Uploaded for the review process <br> The material contains following files: All_data-xxxxxxxx.txt Main data file Kikai_references_xxxxxxxx.xlsx Reference list Other_Kikai_associated_data-xxxxxxxx.xlsx Related datasheet How to cite this material To refer this Kikai Tephra database in your publication, please use the following citation: Ueki K., Haraguchi S., Yoshida K., Kuwatani T., Hamada M., McIntosh I., Miyazaki T., Hanyu T. A new geochemical database of Kikai caldera eruption products: progress towards comprehensive understanding of Kikai caldera magmatism. <em>under review</em>
DOI: 10.6084/m9.figshare.22547863
title: Dataset for the paper "The effect of photoionization on positive streamers in CO2 studied with 2D particle-in-cell simulations"

description: This dataset contains the data used to generate the results presented in the article "The effect of photoionization on positive streamers in CO2 studied with 2D particle-in-cell simulations". This dataset includes (1) the source codes; (2) cross sections files and (3) configuration files for running the simulations.
DOI: 10.6084/m9.figshare.22547863.v1
title: Dataset for the paper "The effect of photoionization on positive streamers in CO2 studied with 2D particle-in-cell simulations"

description: This dataset contains the data used to generate the results presented in the article "The effect of photoionization on positive streamers in CO2 studied with 2D particle-in-cell simulations". This dataset includes (1) the source codes; (2) cross sections files and (3) configuration files for running the simulations.
DOI: 10.6084/m9.figshare.22219327
title: A multi-tissue gene expression atlas in water buffalo

description: This dataset contains a one-to-one orthologous gene list between buffalo and cattle, a gene expression profile of 355 samples and 27,680 genes in buffalo, as well as a gene expression profile of 355 samples and 16,497 orthologous genes. Additionally, it includes tissue-specific expression genes, housekeeping genes list in buffalo, and conserved and differentially expressed genes list between buffalo and cattle.
DOI: 10.5281/zenodo.7796772
title: The Role of Proteomics Analysis in Carcinogenesis in a Rat Mammary Cancer Model Induced by DMBA (7,12-dimethylbenz(α)anthracene)

description: The dataset consists of raw data on protein concentration from a Nanodrop Spectrophotometer and raw data on protein molecular weight from SDS-PAGE
DOI: 10.5281/zenodo.7796784
title: eosinophilic-esophagitis-singlecell_2022

description: Analysis of eosinophilic esophagitis
DOI: 10.5281/zenodo.7796783
title: eosinophilic-esophagitis-singlecell_2022

description: Analysis of eosinophilic esophagitis
DOI: 10.5281/zenodo.7793430
title: Virtual Sensor Benchmark training - timeseries set 1

description: Timeseries data in .csv format with semicolon (;) as delimiter.
DOI: 10.5281/zenodo.7793431
title: Virtual Sensor Benchmark training - timeseries set 1

description: Timeseries data in .csv format with semicolon (;) as delimiter.
DOI: 10.5281/zenodo.7794177
title: Virtual Sensor Benchmark training - timeseries set 1

description: Timeseries data in .csv format with semicolon (;) as delimiter.
DOI: 10.13140/rg.2.2.13635.48169
title: Heloderma suspectum