cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7429200
title: MultiOMIC approaches for understanding physiopathology of SPG11

description: Raw data from the research article "MultiOMIC approaches for understanding physiopathology of SPG11"
description: This study was supported by the Italian Ministry of Health (RF-2019-12370112 to MTB)
DOI: 10.5281/zenodo.7429201
title: MultiOMIC approaches for understanding physiopathology of SPG11

description: Raw data from the research article "MultiOMIC approaches for understanding physiopathology of SPG11"
description: This study was supported by the Italian Ministry of Health (RF-2019-12370112 to MTB)
DOI: 10.5281/zenodo.6385243
title: CXCL12 expression predicts survival in Radically Resected (R0) primary pancreatic adenocarcinoma

description: PDAC CXCR4 CXCL12 CXCR7 PD-L1 dataset
DOI: 10.5281/zenodo.7429164
title: MultiOMIC approaches for understanding physiopathology of SPG11

description: Raw data from the research article "MultiOMIC approaches for understanding physiopathology of SPG11"
description: Italian Ministry of Health (RF-2019-12370112 to MTB)
DOI: 10.5281/zenodo.7429165
title: MultiOMIC approaches for understanding physiopathology of SPG11

description: Raw data from the research article "MultiOMIC approaches for understanding physiopathology of SPG11"
description: Italian Ministry of Health (RF-2019-12370112 to MTB)
DOI: 10.5281/zenodo.7276872
title: CONSOLE_WP3_Task3.1_ Analysis of secondary data_FI_2022.11.03_v01

description: Data collected from Finnish forest owners
DOI: 10.5281/zenodo.7276873
title: CONSOLE_WP3_Task3.1_ Analysis of secondary data_FI_2022.11.03_v01

description: Data collected from Finnish forest owners
DOI: 10.20347/40vd-f944
title: Data and code for using deep neural networks for detecting spurious oscillations in discontinuous Galerkin solutions of convection-dominated convection-diffusion equations

description: This is a collection of data files, used in the publication "Using deep neural networks for detecting spurious oscillations in discontinuous Galerkin solutions of convection-dominated convection-diffusion equations". It contains data to train neural networks with, both scripts to actually train networks and the trained models used in the aforementioned reference, and the results of the best neural network applied to the solution of two benchmark problems.
DOI: 10.5281/zenodo.7457749
title: Lack of pollinators selects for increased selfing, restricted gene flow and resource allocation in the rare Mediterranean sage Salvia brachyodon

description: Salvia brachyodon (Lamiaceae): raw data on flower morphometry, nectar concentration and volume and seed weight according various pollination treatments.
DOI: 10.5281/zenodo.7457748
title: Lack of pollinators selects for increased selfing, restricted gene flow and resource allocation in the rare Mediterranean sage Salvia brachyodon

description: Salvia brachyodon (Lamiaceae): raw data on flower morphometry, nectar concentration and volume and seed weight according various pollination treatments.
DOI: 10.5281/zenodo.6556339
title: WES benchmark results nf-core/sarek v3.1.1

description: Variant calling results on benchmarking datasets produced with the nf-core/sarek v3.1.1 pipeline.
DOI: 10.5281/zenodo.6556340
title: WES benchmark results

description: Variant calling results on benchmarking datasets produced with the nf-core/sarek v2.7 pipeline.
DOI: 10.5281/zenodo.7376244
title: WES benchmark results nf-core/sarek v3.1.1

description: Variant calling results on benchmarking datasets produced with the nf-core/sarek v3.1.1 pipeline.
DOI: 10.5517/ccdc.csd.cc1mt3yh
title: CCDC 1513697: Experimental Crystal Structure Determination

description: Related Article: Hayden A. Evans, Emily C. Schueller, Sara R. Smock, Guang Wu, Ram Seshadri, Fred Wudl|2017|Inorg.Chim.Acta|468|280|doi:10.1016/j.ica.2017.04.060
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.cc1mt3wf
title: CCDC 1513695: Experimental Crystal Structure Determination

description: Related Article: Hayden A. Evans, Emily C. Schueller, Sara R. Smock, Guang Wu, Ram Seshadri, Fred Wudl|2017|Inorg.Chim.Acta|468|280|doi:10.1016/j.ica.2017.04.060
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.cc1mt3zj
title: CCDC 1513698: Experimental Crystal Structure Determination

description: Related Article: Hayden A. Evans, Emily C. Schueller, Sara R. Smock, Guang Wu, Ram Seshadri, Fred Wudl|2017|Inorg.Chim.Acta|468|280|doi:10.1016/j.ica.2017.04.060
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.cc1nz2k8
title: CCDC 1548250: Experimental Crystal Structure Determination

description: Related Article: Hayden A. Evans, Emily C. Schueller, Sara R. Smock, Guang Wu, Ram Seshadri, Fred Wudl|2017|Inorg.Chim.Acta|468|280|doi:10.1016/j.ica.2017.04.060
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: 10.15468/nxyccp
title: Nansen Legacy JC2-2 phytoplankton biodiversity

description: The data has been collected during Nansen Legacy Joint Cruise 2-2 from 24 August - 29 September 2021 on the research vessel RV Kronprins Haakon (cruise number 2021710), along a transect in the northern Barents Sea from 76N to 82N. The dataset contains an abundance of pelagic marine protists, including phytoplankton (autotrophic) and protozooplankton (heterotrophic). Protists were identified and counted with light microscopy using the Utermöhl method and the result are given as cells per liter (cells/L)
DOI: 10.6084/m9.figshare.17430227
title: Supporting Material: Building a macrosystems ecology framework to identify links between environmental and human health: a random forest modeling approach

description: This is the Supporting Material from Walls & McGarvey (2023) "Building a macrosystems ecology framework to identify links between environmental and human health: a random forest modeling approach", published in <em>People and Nature</em>. The zipped file contains all of the code and raw data needed to reproduce the analyses.<br>
DOI: 10.6084/m9.figshare.17430227.v1
title: Supporting Material: Building a macrosystems ecology framework to identify links between environmental and human health: a random forest modeling approach

description: This is the Supporting Material from Walls & McGarvey (2023) "Building a macrosystems ecology framework to identify links between environmental and human health: a random forest modeling approach", published in <em>People and Nature</em>. The zipped file contains all of the code and raw data needed to reproduce the analyses.<br>
DOI: 10.6084/m9.figshare.21741434
title: A vast evolutionarily transient translatome contributes to phenotype and fitness - Deletion screen data

description: Data associated with the deletion screens presented in 'A vast evolutionarily transient translatome contributes to phenotype and fitness.'
DOI: 10.6084/m9.figshare.21741434.v1
title: A vast evolutionarily transient translatome contributes to phenotype and fitness - Deletion screen data

description: Data associated with the deletion screens presented in 'A vast evolutionarily transient translatome contributes to phenotype and fitness.'
DOI: 10.57745/cfvxqi
title: Read_Me.docx

description: Métadonnées associées aux données transimarsh_elevage_croissance_veaux_2009-2022.csv
DOI: 10.57745/silbcw
title: transimarsh_elevage_croissance_veaux_2009_2022.csv

description: Données élevage croissance veaux cheptel bovin allaitant. Expérimentation système transimarsh 2009-2022.
DOI: 10.6073/pasta/f42ad76f0562e27544d1bb0b56f19fb6
title: Southwest United States Wetland Water Quality and Macroinvertebrate Data 2018-2022

description: Water quality and macroinvertebrate data were collected between 2018 and 2020 from 14 different wetland and riparian sites spanning across West Texas, New Mexico, and Arizona. Water quality data such as Cl, SO4, and conductivity were collected as well as nutrients such as NO3, PO4, and Total Dissolved Nitrogen. Macroinvertebrate data were collected from all sites during the summer months (June, July, and August).
DOI: 10.6084/m9.figshare.21750590
title: Dataset: The “normal” adjustment of oxygen delivery to small muscle mass exercise is not optimized for muscle contractile function

description: Individual participant data from article: The “normal” adjustment of oxygen delivery to small muscle mass exercise is not optimized for muscle contractile function. Data presented without deltas from steady state (time = 225 sec).
DOI: 10.6084/m9.figshare.21750590.v1
title: Dataset: The “normal” adjustment of oxygen delivery to small muscle mass exercise is not optimized for muscle contractile function

description: Individual participant data from article: The “normal” adjustment of oxygen delivery to small muscle mass exercise is not optimized for muscle contractile function. Data presented without deltas from steady state (time = 225 sec).
DOI: 10.6084/m9.figshare.12594551
title: Stable Isotope Data for Temperate Stream Fishes

description: These are the raw, individual-level body size and Nitrogen stable isotope data from McGarvey (2020): "<em>Individual-level data reveal high prevalence of positive size--trophic position relationships for vertebrates in temperate streams</em>". Included with the data is an R script that can be used to recreate each of the Size vs. Trophic Position regression models reported in the paper.<br>
DOI: 10.6084/m9.figshare.12594551.v1
title: Stable Isotope Data for Temperate Stream Fishes

description: These are the raw, individual-level body size and Nitrogen stable isotope data from McGarvey (2020): "<em>Individual-level data reveal high prevalence of positive size--trophic position relationships for vertebrates in temperate streams</em>". Included with the data is an R script that can be used to recreate each of the Size vs. Trophic Position regression models reported in the paper.<br>
DOI: 10.6073/pasta/f88ee1dc32b8785fe6ce57d80722e78c
title: Plumes and Blooms: Curated oceanographic and phytoplankton pigment observations

description: These data come from the Plumes and Blooms project (PnB), which has conducted approximately monthly 1-day oceanographic cruises since August 1996. The data included here encompass all PnB cruises from August 1996 through December 2018. Data are two data tables: one table includes conductivity-temperature-depth profiles (CTD) and derived physical parameters, the other table includes discrete seawater samples for various biological and biogeochemical parameters. Details are available in Catlett et al., in prep. References: Catlett, D., D. A. Siegel, R. D. Simons, N. Guillocheau, F. Henderikx-Freitas, C. S. Thomas. Seasonal to multi-decadal dynamics in biomarker pigment estimates of phytoplankton groups in the Santa Barbara Channel, CA. In prep for Progress in Oceanography.
DOI: 10.6073/pasta/4fd2df9538e9aed7e0a99f2a038e1ccd
title: Hemlock Understory Vegetation Plots at Harvard Forest since 2002

description: Hemlock (Tsuga canadensis) forests in New England are changing rapidly with the invasion of the hemlock woolly adelgid (HWA, Adelges tsugae), a non-native insect pest that kills hemlock trees. As the adelgid invades hemlock stands at Harvard Forest, we are monitoring how forest structure and function changes. We surveyed community vegetation structure and composition prior to adelgid infestation, and are repeating this survey as infestation progresses. These measurements will allow us to link the long-term history of these hemlock stands to other current studies of hemlock response to adelgid infestation.
DOI: 10.6084/m9.figshare.11678391
title: Virginia Scenic Rivers - Fish Habitat Model Data

description: These are the data and code used in the <em>Biological Conservation</em> (2021, 263: 109357) article "Do fishes enjoy the view? A MaxEnt assessment of fish habitat suitability within scenic rivers". <br> The data can be used to recreate each of the 33 fish species distribution models from the Virginia Scenic Rivers Program study. All data are combined in a single zipped file and include: <br> 1.) The raw fish presence data, environmental covariate data, and Virginia Scenic Rivers data needed to recreate the fish models. <br> 2.) Separate Results folders for each of the 33 fish species. These Results folders include MaxEnt .html reports, summaries of MaxEnt cross-validation results, area of overlap (kernel density functions) and Mann-Whitney test results, and R scripts to reproduce all model building and data analysis procedures. <br> 3.) A merged table of model-predicted habitat suitability values for all 33 fish species ("Appendix D").<br>
DOI: 10.6084/m9.figshare.11678391.v1
title: Virginia Scenic Rivers - Fish Habitat Model Data

description: These are the data and code used in the <em>Biological Conservation</em> (2021, 263: 109357) article "Do fishes enjoy the view? A MaxEnt assessment of fish habitat suitability within scenic rivers". <br> The data can be used to recreate each of the 33 fish species distribution models from the Virginia Scenic Rivers Program study. All data are combined in a single zipped file and include: <br> 1.) The raw fish presence data, environmental covariate data, and Virginia Scenic Rivers data needed to recreate the fish models. <br> 2.) Separate Results folders for each of the 33 fish species. These Results folders include MaxEnt .html reports, summaries of MaxEnt cross-validation results, area of overlap (kernel density functions) and Mann-Whitney test results, and R scripts to reproduce all model building and data analysis procedures. <br> 3.) A merged table of model-predicted habitat suitability values for all 33 fish species ("Appendix D").<br>
DOI: 10.25405/data.ncl.21724970
title: WOW Observations 2011 - 2020

description: Time series data from the Met Office WOW site from 2011 to the end of 2020. WOW_raw.zip includes data from stations located in GB with parameters including wind, rain, temperature and pressure. WOW_hourly.zip comprises rain data aggregated to hourly. Site details including location and the number of records for each parameter for each year are available via WOW_station_metadata.csv.
DOI: 10.25405/data.ncl.21724970.v1
title: WOW Observations 2011 - 2020

description: Time series data from the Met Office WOW site from 2011 to the end of 2020. WOW_raw.zip includes data from stations located in GB with parameters including wind, rain, temperature and pressure. WOW_hourly.zip comprises rain data aggregated to hourly. Site details including location and the number of records for each parameter for each year are available via WOW_station_metadata.csv.
DOI: 10.6084/m9.figshare.20752093
title: Data & code for - The effect of experimental hybridization on cognition and brain anatomy: limited phenotypic variation and transgression in Poeciliidae

description: The role of hybridization as a driver of variation and novelty in traits linked to fitness is well recognized, yet it remains largely unknown whether hybridization can fuel behavioural novelty by promoting phenotypic variation in brain morphology and/or cognitive traits. In this study, we investigated the effect of hybridization on brain anatomy, learning ability, and cognitive flexibility in first- and second-generation hybrids of two closely related fish species (<em>Poecilia reticulata</em> and <em>P. wingei</em>). <br> This depository contains a README file detailing information contained in each data file, the datasheets that identify the crossing group of each fish, the raw data from the brain morphology measurements, the raw data from the associative learning and reversal learning tasks, and a processed data table containing information on the performance of the fish in both tasks (learning criterion). We also provide the R code used for all analyses and to generate the graphs presented in the manuscript.
DOI: 10.25398/rd.northumbria.21626414.v1
title: Method and charts for the calculation of a Roman lead pipeline discharge

description: The excel workbook contains the data obtained from the application of Colebrook-White equation to ancient Roman lead pipes in the range <em>digitus </em>to <em>denaria</em>. The <strong>'Tables'</strong> <strong>worksheet</strong> calculates the values of friction factor, Reynolds number and flowrate corresponding to values of average velocity up to 3m/s and for values of the absolute roughness in the range 0.1 to 0.5 mm. The <strong>'Charts' worksheet</strong> contains the charts derived from the tabled data. The<strong> 'Method'</strong> <strong>worksheet</strong> describes an iterative graphical method, based on the charts, to obtain the discharge of a lead pipeline connecting two points, starting from a range for the maximum hydraulic slope. <em>The graphical method, compared with the numerical solution method, allows to easily take into account the uncertainties present in the topographical and archaeological data, providing a simplified sensitivity analysis.</em>
DOI: 10.25398/rd.northumbria.21626414
title: Method and charts for the calculation of a Roman lead pipeline discharge

description: The excel workbook contains the data obtained from the application of Colebrook-White equation to ancient Roman lead pipes in the range <em>digitus </em>to <em>denaria</em>. The <strong>'Tables'</strong> <strong>worksheet</strong> calculates the values of friction factor, Reynolds number and flowrate corresponding to values of average velocity up to 3m/s and for values of the absolute roughness in the range 0.1 to 0.5 mm. The <strong>'Charts' worksheet</strong> contains the charts derived from the tabled data. The<strong> 'Method'</strong> <strong>worksheet</strong> describes an iterative graphical method, based on the charts, to obtain the discharge of a lead pipeline connecting two points, starting from a range for the maximum hydraulic slope. <em>The graphical method, compared with the numerical solution method, allows to easily take into account the uncertainties present in the topographical and archaeological data, providing a simplified sensitivity analysis.</em>
DOI: 10.5281/zenodo.7457688
title: Data from simulations of the thalamocortical loop model

description: This zip file contains, separated into different folders, the data and metadata resulting from simulating different stimuli protocols with a thalamocortical spiking network model (https://github.com/dguarino/T2). The model was developed using the Mozaik framework (https://github.com/antolikjan/mozaik), which itself relies on PyNN (http://neuralensemble.org/PyNN/), NEST (https://www.nest-simulator.org/), and other libraries (see the Mozaik specs). Inside the zipped folder, there will be the following sub-folders, each containing the python pickled output recording of the recorded spikes (with Vm, and conductances for a subset of simulated neurons) in the Neo format (https://neo.readthedocs.io/en/stable/ ): ThalamoCorticalModel_data_contrast_closed_____<br> ThalamoCorticalModel_data_contrast_open_____<br> ThalamoCorticalModel_data_luminance_closed_____<br> ThalamoCorticalModel_data_luminance_open_____<br> ThalamoCorticalModel_data_orientation_closed_____<br> ThalamoCorticalModel_data_orientation_feedforward_____<br> ThalamoCorticalModel_data_orientation_open_____<br> ThalamoCorticalModel_data_size_closed_____<br> ThalamoCorticalModel_data_size_closed_____large<br> ThalamoCorticalModel_data_size_closed_cross-oriented_____<br> ThalamoCorticalModel_data_size_feedforward_____<br> ThalamoCorticalModel_data_size_feedforward_____large<br> ThalamoCorticalModel_data_size_feedforward_____old<br> ThalamoCorticalModel_data_size_LGNonly_____<br> ThalamoCorticalModel_data_size_nonoverlapping_____<br> ThalamoCorticalModel_data_size_open_____<br> ThalamoCorticalModel_data_size_overlapping_____<br> ThalamoCorticalModel_data_size_overlapping_____old<br> ThalamoCorticalModel_data_spatial_closed_____<br> ThalamoCorticalModel_data_spatial_Kimura_____<br> ThalamoCorticalModel_data_spatial_LGNonly_____<br> ThalamoCorticalModel_data_spatial_open_____
DOI: 10.5281/zenodo.7457687
title: Data from simulations of the thalamocortical loop model

description: This zip file contains, separated into different folders, the data and metadata resulting from simulating different stimuli protocols with a thalamocortical spiking network model (https://github.com/dguarino/T2). The model was developed using the Mozaik framework (https://github.com/antolikjan/mozaik), which itself relies on PyNN (http://neuralensemble.org/PyNN/), NEST (https://www.nest-simulator.org/), and other libraries (see the Mozaik specs). Inside the zipped folder, there will be the following sub-folders, each containing the python pickled output recording of the recorded spikes (with Vm, and conductances for a subset of simulated neurons) in the Neo format (https://neo.readthedocs.io/en/stable/ ): ThalamoCorticalModel_data_contrast_closed_____<br> ThalamoCorticalModel_data_contrast_open_____<br> ThalamoCorticalModel_data_luminance_closed_____<br> ThalamoCorticalModel_data_luminance_open_____<br> ThalamoCorticalModel_data_orientation_closed_____<br> ThalamoCorticalModel_data_orientation_feedforward_____<br> ThalamoCorticalModel_data_orientation_open_____<br> ThalamoCorticalModel_data_size_closed_____<br> ThalamoCorticalModel_data_size_closed_____large<br> ThalamoCorticalModel_data_size_closed_cross-oriented_____<br> ThalamoCorticalModel_data_size_feedforward_____<br> ThalamoCorticalModel_data_size_feedforward_____large<br> ThalamoCorticalModel_data_size_feedforward_____old<br> ThalamoCorticalModel_data_size_LGNonly_____<br> ThalamoCorticalModel_data_size_nonoverlapping_____<br> ThalamoCorticalModel_data_size_open_____<br> ThalamoCorticalModel_data_size_overlapping_____<br> ThalamoCorticalModel_data_size_overlapping_____old<br> ThalamoCorticalModel_data_spatial_closed_____<br> ThalamoCorticalModel_data_spatial_Kimura_____<br> ThalamoCorticalModel_data_spatial_LGNonly_____<br> ThalamoCorticalModel_data_spatial_open_____
DOI: 10.5281/zenodo.7458102
title: Full Ar Ar data

description: Full analytical Ar-Ar data
DOI: 10.5281/zenodo.7458101
title: Full Ar Ar data

description: Full analytical Ar-Ar data
DOI: 10.6084/m9.figshare.21604011.v1
title: Table-2-list-genomes-with-proteins-and-transcripts.csv

description: List of selected protist genomes for which protein and transcript data were used for the annotation. Organisms are sorted by taxonomic lineage, in the third column
DOI: 10.6084/m9.figshare.21604002.v1
title: Table-3-list-genomes-only-proteins.csv

description: List of selected protist genomes for which only protein data were deployed for the annotation. Organisms are sorted by taxonomic lineage, in the third column.