cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10150675
title: The data behind the ApJ article "Environmental Dependence of Type Ia Supernovae in Low-Redshift Galaxy Clusters"

description: Data from "Environmental Dependence of Type Ia Supernovae in Low-Redshift Galaxy Clusters", NASA ADS
inner_cluster_data.csv and outer_cluster_data.csv include the SALT3 mB, x1, and c parameter values, distance moduli and Hubble residuals (with _1 referring to Figure 9 and _2 referring to Figure 10), outlier designation from MCMC procedure, host cluster, host cluster redshift (with Hubble diagram version converted to frame of CMB), host cluster r500, projected separation from cluster center, NED Host galaxy name, photometrically-derived estimate for host mass, host or SN redshift used in analysis, and the Host SFR category (Q: quiescent, SF: star-forming, GV: green valley) for our cluster SNe Ia.
sf_field.csv and quiescent_field.csv contain SALT parameter values, distance moduli and Hubble residuals (from Figure 10), host galaxy sSFR and mass measurements, and host redshifts (all spectroscopic, also with Hubble diagram converted values) for SNe Ia in our field samples.
full_cluster.csv contains the data from the table in the appendix of the paper.
The inner_cluster_/outer_cluster_mcmc_samples.csv files contain the samples needed to reproduce the corner plot for Figure 10.
The Python scripts recreate the figures from the paper given the above data. The details for which columns and constraints needed to reproduce the figures are included in these files.
DOI: 10.6084/m9.figshare.24595632.v1
title: Gaps in current methods to detect polymorphic CpGs from Illumina Infinium human methylation microarrays and exploring their potential impact in multi-EWAS analyses

description: DNA methylation (DNAm) epigenome-wide association studies (EWAS) have been performed on diverse ethnicities to discover novel biomarkers associated with various diseases, such as cancers, autoimmune diseases, and neurological disorders. However, genetic polymorphisms can influence DNAm levels resulting in methylation quantitative trait loci (meQTL). These can be either direct effects, by altering the sequence of the methylation (CpG) site itself, or, in the case of array-based measures, indirectly altering the detection probe-binding site interaction. Given that genetic variant frequencies associated with meQTL can differ between population groups, these have the potential to confound EWAS observations, particularly in multi-ethnic populations. In this study, we analysed publicly available DNA methylation profiles (<i>450K array</i>), consisting of 1342 individuals from 6 distinct ancestral groups. We investigate two distinct tools (<i>GapHunter</i> and <i>MethylToSNP)</i> specifically designed to identify CpG sites that may be influenced by genetic variation. Results from this aggregated trans-ancestral epigenome-wide dataset suggest that both tools fail to consistently identify not only rarer (MAF &lt; 0.05) genetic variant effects but also more than half of sites predicted to be associated with variants with much higher allele frequencies (MAF &gt;0.2). In addition, there is a relatively low concordance in the detection of polymorphic CpGs between <i>GapHunter</i> and <i>MethylToSNP</i>. Screening of CpG site associations from EWAS using either of these tools is unlikely to be a robust or comprehensive means of identifying all genetic variant confounding effects.
DOI: 10.5281/zenodo.10161282
title: Data from Nölle et al. 2023 (published in MNRAS)

description: Supplementary data for Nölle et al. 2023 (MNRAS) including an event table of the Cassini's Cosmic Dust Analyzer instrument as well as measurements at the LILIBID-MS laboratory of Freie Universität Berlin, used to analyze potential effects of space weathering processes on the radial composition on the microscopic icy dust grains of Saturn's large, diffuse E ring.
DOI: 10.5281/zenodo.10161283
title: Data from Nölle et al. 2023 (published in MNRAS)

description: Supplementary data for Nölle et al. 2023 (MNRAS) including an event table of the Cassini's Cosmic Dust Analyzer instrument as well as measurements at the LILIBID-MS laboratory of Freie Universität Berlin, used to analyze potential effects of space weathering processes on the radial composition on the microscopic icy dust grains of Saturn's large, diffuse E ring.
DOI: 10.5281/zenodo.10028249
title: Repository for Analysis of the Mined Dataset (RE: EMT6 Paper)

description: Table of Contents

Main Description
File Description
 
1. Main Description
---------------------------
This is a repository for the mined data and code used pertaining to the manuscript titled "A TCR β chain-directed antibody-fusion molecule that activates and expands subsets of T cells and promotes antitumor activity.".
The following libraries are required for script execution:

Seurat
scReportoire
ggplot2
stringr
dplyr
ggridges
ggrepel
ComplexHeatmap
 
 
File Descriptions
---------------------------

The "Marengo_Code_Review.R" contains all the code needed to generate figures, and perform differential gene expression analysis for the mined datasets. 
The "Cis_paper_EM_BetterEF.rds" file contains mined dataset sourced from DOI: 10.1038/s41586-022-05257-0. Whereas, the "combined_three_effectors.rds" file contains the mined dataset sourced from DOI: 10.1038/s41586-022-05257-0.
DOI: 10.5281/zenodo.10028250
title: Repository for Analysis of the Mined Dataset (RE: EMT6 Paper)

description: Table of Contents

Main Description
File Description
 
1. Main Description
---------------------------
This is a repository for the mined data and code used pertaining to the manuscript titled "A TCR β chain-directed antibody-fusion molecule that activates and expands subsets of T cells and promotes antitumor activity.".
The following libraries are required for script execution:

Seurat
scReportoire
ggplot2
stringr
dplyr
ggridges
ggrepel
ComplexHeatmap
 
 
File Descriptions
---------------------------

The "Marengo_Code_Review.R" contains all the code needed to generate figures, and perform differential gene expression analysis for the mined datasets. 
The "Cis_paper_EM_BetterEF.rds" file contains mined dataset sourced from DOI: 10.1038/s41586-022-05257-0. Whereas, the "combined_three_effectors.rds" file contains the mined dataset sourced from DOI: 10.1038/s41586-022-05257-0.
DOI: 10.6084/m9.figshare.24595038
title: Nuccio and Wesselmann 2023 Data and SPSS Code

description: These data were used for analysis for an experiment examining the impact of seductive allure effect and trappings of science on how people evaluated information regarding alleged paranormal research. This is a more complete file than the June version. A copy of our SPSS syntax is also provided.<br>
DOI: 10.6084/m9.figshare.24595038.v2
title: Nuccio and Wesselmann 2023 Data and SPSS Code

description: These data were used for analysis for an experiment examining the impact of seductive allure effect and trappings of science on how people evaluated information regarding alleged paranormal research. This is a more complete file than the June version. A copy of our SPSS syntax is also provided.<br>
DOI: 10.6084/m9.figshare.24595611
title: Supplementary data to article "Long-term glucocorticoid exposure and incident cardiovascular diseases – the Lifelines cohort"

description: Supplementary data to the article "Long-term glucocorticoid exposure and incident cardiovascular diseases – the Lifelines cohort".
DOI: 10.5281/zenodo.10161458
title: Τα δυο πρόσωπα του Mephisto: Τα κοστούμια ως όψεις της ηθικής κατάπτωσης ενός καλλιτέχνη

description: Το άρθρο αυτό θα επιχειρήσει να αποκρυσταλλώσει ενδυματολογικά τον λογοτεχνικό χαρακτήρα τον οποίο περιγράφει ο Klaus Mann στο Mephisto ξεκινώντας από την θεατρική σκηνή του Θεάτρου Τέχνης του Αμβούργου και καταλήγοντας στον μεγάλο ρόλο του αστέρα της Ναζιστικής Γερμανίας, παρουσιάζοντας τις όψεις της ηθικής κατάπτωσης αλλά και τα δύο πρόσωπα του Mephisto: τον  πρωταγωνιστή  επί σκηνής και τον εύθραυστο Hendrik μέσα από την ενδυματολογική εξέλιξη του χαρακτήρα.
DOI: 10.5281/zenodo.10161459
title: Τα δυο πρόσωπα του Mephisto: Τα κοστούμια ως όψεις της ηθικής κατάπτωσης ενός καλλιτέχνη

description: Το άρθρο αυτό θα επιχειρήσει να αποκρυσταλλώσει ενδυματολογικά τον λογοτεχνικό χαρακτήρα τον οποίο περιγράφει ο Klaus Mann στο Mephisto ξεκινώντας από την θεατρική σκηνή του Θεάτρου Τέχνης του Αμβούργου και καταλήγοντας στον μεγάλο ρόλο του αστέρα της Ναζιστικής Γερμανίας, παρουσιάζοντας τις όψεις της ηθικής κατάπτωσης αλλά και τα δύο πρόσωπα του Mephisto: τον  πρωταγωνιστή  επί σκηνής και τον εύθραυστο Hendrik μέσα από την ενδυματολογική εξέλιξη του χαρακτήρα.
DOI: 10.6073/pasta/6db33a05b0108ce7ec17e0499f9d55e5
title: Aboveground biomass at control and fertilized plots in a Spartina patens-dominated salt marsh, Rowley River, Plum Island Ecosystem LTER, MA (2000-2023).

description: Aboveground biomass is determined destructively at control and fertilized sites approximately monthly during the growing season at a Spartina patens salt marsh on the Rowley River within the Plum Island Ecosystems (PIE) LTER site.
DOI: 10.6073/pasta/7092c84a0873c3c8102a5ef236d27908
title: Porewater nutrient concentrations from control plots and fertilized plots at Spartina alterniflora, S.patens and Typha sp. marshes, Plum Island Ecosystem LTER, MA (1999-2023).

description: Porewater samples from five marsh locations in the Plum Island Ecosystems (PIE) LTER site were collected and analyzed for salinity as well as ammonium, phosphate, sulfide and chloride concentrations. Three sites (a Typha-dominated brackish marsh, a Spartina alterniflora-dominated salt marsh, and a S. patens-dominated salt marsh) are part of a long term study, and include fertilized and non-fertilized sample plots. Two additional, non-fertilized marsh sites, are located on Nelson Island, near Stackyard Road within the Parker River National Wildlife Refuge.
DOI: 10.6073/pasta/46a39e297d7ecec42b88c1a275f33323
title: Plant heights at control and fertilized plots in a Spartina alterniflora-dominated marsh, Law's Point, Rowley River, Plum Island Ecosystem LTER, MA (1999-2023).

description: Plant heights are measured during the growing season in permanent plots at a Spartina alterniflora-dominated salt marsh on the Rowley River within the Plum Island Ecosystems (PIE) LTER site. Plant heights are converted to plant weight using an algorithm to generate a non-destructive estimate of aboveground plant biomass.
DOI: 10.6073/pasta/239774edbb3fcf903f0e1e95a21af39b
title: Aboveground plant biomass and density in control and fertilized plots in a Spartina alterniflora-dominated marsh, Rowley River, Plum Island Ecosystem LTER, MA (1999-2023).

description: Aboveground plant biomass and density is determined non-destructively during the growing season in permanent control and fertilized plots in a Spartina alterniflora-dominated salt marsh at Laws Point on the Rowley River within the Plum Island Ecosystems (PIE) LTER site.
DOI: 10.5281/zenodo.10147707
title: WinFam Dataset

description: The winFam dataset is a collection that amalgamates cryptoransomware files sourced from VirusShare and Windows PE32 malware/benign files from MaleVis dataset. 
Key Features:-
File Sources
       Cryptoransomware files were sourced from VirusShare (https://virusshare.com/), a reputable repository known for its extensive collection of malware samples. Windows PE32 files were obtained from https://web.cs.hacettepe.edu.tr/~selman/malevis/, enriching the dataset with a variety of Windows executable files.
Conversion to Images
       The executable files from Cryptoransomware were converted into RGB images using the binary2image tool (https://github.com/ncarkaci/binary-to-image/blob/master/binary2image.py). This transformation allows researchers to leverage image processing techniques and neural networks for advanced analysis.
Malware Families
       The dataset comprises 26 distinct malware families and a benign family is included for comparative analysis and to facilitate the development of effective detection mechanisms. The images are split up into three folders- Train, Valid and Test.
Research Applications
        It serves as a valuable resource for the development and evaluation of deep learning models based on malware visualization.
Community Contribution
       The winFam dataset is shared with the cybersecurity community on Zenodo to encourage collaboration and knowledge-sharing. Researchers, analysts, and developers can leverage this dataset to advance the state of the art in malware analysis and cybersecurity.
DOI: 10.5281/zenodo.10147708
title: WinFam Dataset

description: The winFam dataset is a collection that amalgamates cryptoransomware files sourced from VirusShare and Windows PE32 malware/benign files from MaleVis dataset. 
Key Features:-
File Sources
       Cryptoransomware files were sourced from VirusShare (https://virusshare.com/), a reputable repository known for its extensive collection of malware samples. Windows PE32 files were obtained from https://web.cs.hacettepe.edu.tr/~selman/malevis/, enriching the dataset with a variety of Windows executable files.
Conversion to Images
       The executable files from Cryptoransomware were converted into RGB images using the binary2image tool (https://github.com/ncarkaci/binary-to-image/blob/master/binary2image.py). This transformation allows researchers to leverage image processing techniques and neural networks for advanced analysis.
Malware Families
       The dataset comprises 26 distinct malware families and a benign family is included for comparative analysis and to facilitate the development of effective detection mechanisms. The images are split up into three folders- Train, Valid and Test.
Research Applications
        It serves as a valuable resource for the development and evaluation of deep learning models based on malware visualization.
Community Contribution
       The winFam dataset is shared with the cybersecurity community on Zenodo to encourage collaboration and knowledge-sharing. Researchers, analysts, and developers can leverage this dataset to advance the state of the art in malware analysis and cybersecurity.
DOI: 10.6073/pasta/146922a67ce89fcae66cbbdbe21059c9
title: Aboveground biomass from control sites in a Spartina alterniflora-dominated salt marsh at Stackyard Rd, Nelson Island, Parker River NWR, Plum Island Ecosystem LTER, Rowley, MA (2019-2023).

description: Aboveground biomass is determined non-destructively at permanent, control (non-fertilized) plots in a Spartina alterniflora-dominated salt marsh on Nelson Island near Stackyard Rd in the Parker River NWR within the Plum Island Ecosystems (PIE) LTER site, MA.
DOI: 10.6073/pasta/61264573ae60401fddb389ac731e80d1
title: Aboveground biomass from control sites in a Spartina patens-dominated salt marsh at Stackyard Rd, Nelson Island, Parker River NWR, Plum Island Ecosystem LTER, Rowley, MA (2019-2023).

description: Aboveground biomass is determined approximately monthly via clippings at permanent, high marsh control (non-fertilized) plots in a Spartina patens-dominated salt marsh on Nelson Island near Stackyard Rd in the Parker River NWR within the Plum Island Ecosystem (PIE) LTER site, MA.
DOI: 10.5281/zenodo.10118190
title: GlassBench

description: Dataset containing simulation data and machine-learning model predictions for a two-dimensional and a three-dimensional glassy liquid. The set also includes python scripts to reproduce the benchmarking performed for the manuscript "Roadmap on machine learning glassy liquids". Detailed descriptions can be found in the separate README files, which also contain the references which should be cited if this dataset is used for research.
DOI: 10.6084/m9.figshare.22357291.v1
title: Wildish et al 2023 - FigShare.xlsx

description: Oxygen uptake data of the paper Wildish et al., 2023 <br>
DOI: 10.6084/m9.figshare.24595632
title: Gaps in current methods to detect polymorphic CpGs from Illumina Infinium human methylation microarrays and exploring their potential impact in multi-EWAS analyses

description: DNA methylation (DNAm) epigenome-wide association studies (EWAS) have been performed on diverse ethnicities to discover novel biomarkers associated with various diseases, such as cancers, autoimmune diseases, and neurological disorders. However, genetic polymorphisms can influence DNAm levels resulting in methylation quantitative trait loci (meQTL). These can be either direct effects, by altering the sequence of the methylation (CpG) site itself, or, in the case of array-based measures, indirectly altering the detection probe-binding site interaction. Given that genetic variant frequencies associated with meQTL can differ between population groups, these have the potential to confound EWAS observations, particularly in multi-ethnic populations. In this study, we analysed publicly available DNA methylation profiles (<i>450K array</i>), consisting of 1342 individuals from 6 distinct ancestral groups. We investigate two distinct tools (<i>GapHunter</i> and <i>MethylToSNP)</i> specifically designed to identify CpG sites that may be influenced by genetic variation. Results from this aggregated trans-ancestral epigenome-wide dataset suggest that both tools fail to consistently identify not only rarer (MAF &lt; 0.05) genetic variant effects but also more than half of sites predicted to be associated with variants with much higher allele frequencies (MAF &gt;0.2). In addition, there is a relatively low concordance in the detection of polymorphic CpGs between <i>GapHunter</i> and <i>MethylToSNP</i>. Screening of CpG site associations from EWAS using either of these tools is unlikely to be a robust or comprehensive means of identifying all genetic variant confounding effects.
DOI: 10.21942/uva.24593031
title: oudelohuis-et-al-2024-natneurosci-data.rar

description: Data accompanying Oude Lohuis et al. 'Triple dissociation of visual, auditory and motor processing in mouse primary visual cortex' Published in Nature Neuroscience 2024
DOI: 10.34740/kaggle/dsv/7013084
title: Balochi Language to English Translation Dataset
DOI: 10.5519/qd.0sl0zk97
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7 records)
DOI: 10.5281/zenodo.10152031
title: Supplement A. Wolf et al: 'Western Caucasus regional hydroclimate controlled by cold-season temperature variability since the Last Glacial Maximum'

description: This repository contains all proxy data presented in A. Wolf et al, "Western Caucasus regional hydroclimate controlled by cold-season temperature variability since the Last Glacial Maximum". The data can be used to replicate figures and analyses presented in the main text. Additionally, data can be accessed in the supplement material and in the data availability statement.
DOI: 10.5281/zenodo.10152032
title: Supplement A. Wolf et al: 'Western Caucasus regional hydroclimate controlled by cold-season temperature variability since the Last Glacial Maximum'

description: This repository contains all proxy data presented in A. Wolf et al, "Western Caucasus regional hydroclimate controlled by cold-season temperature variability since the Last Glacial Maximum". The data can be used to replicate figures and analyses presented in the main text. Additionally, data can be accessed in the supplement material and in the data availability statement.
DOI: 10.6073/pasta/9dc939847dfa690d2b2e85457f60436f
title: Carbon and nitrogen content and stable isotope compositions from particulate organic matter samples from lagoon, river, and open ocean sites along the Alaska Beaufort Sea coast, 2018-ongoing

description: Multiple water types (river, lagoon, ocean) from the North Slope of Alaska and nearshore Beaufort Sea are sampled seasonally by the Beaufort Lagoon Ecosystems LTER (BLE LTER) Core Program to investigate biogeochemical linkages between terrestrial, lagoon, and open ocean ecosystems. Water samples are collected during full ice cover (April), ice break-up (mid-June to early July), and open water (late July and August) periods, and analyzed for particulate organic carbon (POC) and particulate organic nitrogen (PON) content and stable isotopic composition.
DOI: 10.5066/f7pr7tx3
title: Data supporting the 2017 geomorphic survey of North Fork Eagle Creek, New Mexico

description: This U.S. Geological Survey (USGS) data release contains the results from the 2017 geomorphic survey of North Fork Eagle Creek, New Mexico. The 2017 geomorphic survey was conducted by the USGS, in cooperation with the Village of Ruidoso, New Mexico, and is the first in a planned series of five annual geomorphic surveys of the stream reach located between the North Fork Eagle Creek near Alto, New Mexico, streamflow-gaging station (USGS site 08387550) and the Eagle Creek below South Fork near Alto, New Mexico, streamflow-gaging station (USGS site 08387600). Specifically, this data release contains the results from 14 cross-section surveys (to include x-y-z coordinates of all cross-section points), the locations of all woody debris identified in the reach and their corresponding debris jam classifications, and the locations of all pools identified in the reach. All x-y-z coordinates included in this data release were collected by using survey-grade real-time kinematic global navigation satellite systems (RTK GNSS). This data release supports the following publication: Graziano, A.P., in press, Geomorphic survey of North Fork Eagle Creek, New Mexico, 2017: U.S. Geological Survey Open-File Report.
DOI: 10.5066/p94zqhku
title: Data supporting the 2018 geomorphic survey of North Fork Eagle Creek, New Mexico

description: This U.S. Geological Survey (USGS) data release contains results from the 2018 geomorphic survey of North Fork Eagle Creek, New Mexico. The 2018 geomorphic survey was conducted by the USGS, in cooperation with the Village of Ruidoso, New Mexico, and is the second in a planned series of five annual geomorphic surveys of the stream reach located between the North Fork Eagle Creek near Alto, New Mexico, streamflow-gaging station (USGS site 08387550) and the Eagle Creek below South Fork near Alto, New Mexico, streamflow-gaging station (USGS site 08387600). Specifically, this data release includes the results from 14 cross-section surveys (including locations and elevations of all cross-section points), the locations of all woody debris accumulations identified in the reach (and their respective debris jam classifications), the locations of all pools identified in the reach (and their respective residual depths), and the locations of other features of geomorphic significance in the reach. Location and elevation data were primarily collected by using survey-grade real-time kinematic global navigation satellite systems (RTK GNSS) but the locations of some features were determined or estimated by using field notes, photographs, digital mapping software, and the locations of the points that were surveyed with RTK GNSS. This data release supports the following publication: Graziano, A.P., in press, Geomorphic survey of North Fork Eagle Creek, New Mexico, 2018: U.S. Geological Survey Open-File Report.
DOI: 10.5281/zenodo.10161551
title: Mapping Enzyme Activity in Living Systems by Real-Time Mid-Infrared Photothermal Imaging of Nitrile Chameleons
DOI: 10.5281/zenodo.10161552
title: Mapping Enzyme Activity in Living Systems by Real-Time Mid-Infrared Photothermal Imaging of Nitrile Chameleons