cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10573782
title: Attosecond-pump attosecond-probe x-ray spectroscopy of liquid water

description: Data for figures for "Attosecond-pump attosecond-probe x-ray spectroscopy of liquid water" and input files for MR-RASCI calculations.
DOI: 10.5281/zenodo.10573783
title: Attosecond-pump attosecond-probe x-ray spectroscopy of liquid water

description: Data for figures for "Attosecond-pump attosecond-probe x-ray spectroscopy of liquid water" and input files for MR-RASCI calculations.
DOI: 10.34740/kaggle/dsv/7488263
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.13012/b2idb-9797270_v1
title: Data for: A molecular phylogenetic analysis of the genera of fruit doves and their allies using dense taxonomic sampling

description: Multiple sequence alignments from concatenated nuclear and mitochondrial genes and resulting phylogenetic tree files of fruit doves and their close relatives. Files include: BEAST input XML file (fruit_dove_beast_input.xml); a maximum clade credibility tree from a BEAST analysis (fruit_dove_beast_mcc.tre); concatenated multiple sequence alignment NEXUS files for the novel dataset (fruit_dove_concatenated_alignment.nex, 76 taxa, 4,277 characters) and the dataset with additional sequences (fruit_dove_plus_cibois_data_concatenated_alignment.nex, 204 taxa, 4,277 characters), both of which contain a MrBayes block including partition information; and 50% majority-rule consensus trees generated from MrBayes analyses, using the NEXUS alignment files as inputs (fruit_dove_mrbayes_consensus.tre, fruit_dove_plus_cibois_data_mrbayes_consensus.tre).
DOI: 10.5281/zenodo.10573909
title: IoTvulCode - AI-enabled vulnerability detection in software products designed for IoT applications

description: In this study, we address potential source code vulnerabilities in some of the most commonly used IoT frameworks. We introduce IoTvulCode- a novel framework consisting of a dataset-generating tool, and ML-enabled methods for the detection of source code vulnerabilities and weaknesses as well as the initial release of an IoT vulnerability dataset. Our framework contributes to improving the existing coding practices, leading to a more secure IoT infrastructure. Additionally, IoTvulCode provides a solid basis for the IoT research community to explore the topic further.
DOI: 10.5281/zenodo.10573928
title: IoTvulCode - AI-enabled vulnerability detection in software products designed for IoT applications

description: In this study, we address potential source code vulnerabilities in some of the most commonly used IoT frameworks. We introduce IoTvulCode- a novel framework consisting of a dataset-generating tool, and ML-enabled methods for the detection of source code vulnerabilities and weaknesses as well as the initial release of an IoT vulnerability dataset. Our framework contributes to improving the existing coding practices, leading to a more secure IoT infrastructure. Additionally, IoTvulCode provides a solid basis for the IoT research community to explore the topic further.
DOI: 10.5281/zenodo.10203898
title: IoTvulCode - AI-enabled vulnerability detection in software products designed for IoT applications

description: In this study, we address potential source code vulnerabilities in some of the most commonly used IoT frameworks. We introduce IoTvulCode- a novel framework consisting of a dataset-generating tool, and ML-enabled methods for the detection of source code vulnerabilities and weaknesses as well as the initial release of an IoT vulnerability dataset. Our framework contributes to improving the existing coding practices, leading to a more secure IoT infrastructure. Additionally, IoTvulCode provides a solid basis for the IoT research community to explore the topic further.
DOI: 10.5281/zenodo.10203899
title: IoTvulCode - AI-enabled vulnerability detection in software products designed for IoT applications

description: In this study, we address potential source code vulnerabilities in some of the most commonly used IoT frameworks. We introduce IoTvulCode- a novel framework consisting of a dataset-generating tool, and ML-enabled methods for the detection of source code vulnerabilities and weaknesses as well as the initial release of an IoT vulnerability dataset. Our framework contributes to improving the existing coding practices, leading to a more secure IoT infrastructure. Additionally, IoTvulCode provides a solid basis for the IoT research community to explore the topic further.
DOI: 10.5281/zenodo.10259089
title: MESA inlists and outputs for addition of non-nuclear energy to pair instability supernova progenitors

description: This archive collects the inlists and outputs for MESA stellar evolution models (MESA v.12778) of high initial mass stars, with zero initial metallicity and the addition of a non-nuclear energy source. Each file is labeled by the initial mass of the star (in solar masses) and the non-nuclear energy added (as a constant specific luminosity in erg/g/sec). The stellar masses we consider here surround the pair instability gap when no non-nuclear energy is added. By adding in non-nuclear energy, we can identify how effects like dark matter heating could impact the pair instability gap.
DOI: 10.5281/zenodo.10573874
title: Closed-loop Data-enabled Predictive Control and its equivalence with Closed-loop Subspace Predictive Control: dataset

description: This data was generated by the code foundin this GitHub repository also made available via this DOI. It was used to generated the figures in the 2024 article in Automatica entitled "Closed-loop Data-enabled Predictive Control and its equivalence with Closed-loop Subspace Predictive Control".
DOI: 10.5281/zenodo.10573875
title: Closed-loop Data-enabled Predictive Control and its equivalence with Closed-loop Subspace Predictive Control: dataset

description: This data was generated by the code foundin this GitHub repository also made available via this DOI. It was used to generated the figures in the 2024 article in Automatica entitled "Closed-loop Data-enabled Predictive Control and its equivalence with Closed-loop Subspace Predictive Control".
DOI: 10.5281/zenodo.10573952
title: POPC sLipids (Incorrect Charges)

description: Missing formal charges on phosphate group
DOI: 10.5281/zenodo.10573953
title: POPC sLipids (Incorrect Charges)

description: Missing formal charges on phosphate group
DOI: 10.6084/m9.figshare.24915633
title: FlowCytometryData_LN_B-NHL

description: LN-derived cells were thawed and stained for viability using a fixable viability dye e506 (Thermo Fisher Scientific, #65-0866-14) and for different surface markers depending on the experimental set-up. The following surface antibodies were used: anti-CD3-PerCP-Cy5.5, anti-CD4-PE-Dazzle, anti-CD8-APC-Cy7, anti-CD45RA-FITC, anti-CD25-BV421, anti-CD31-BV605, anti-CXCR5-BV711, anti-TIM3-BV711, anti-CD278-BV605, anti-PD1-PE-Cy7, anti-CD69-AF700, anti-CD244-BV421 (all BioLegend). For subsequent intracellular staining, cells were fixed and permeabilized with the intracellular fixation/permeabilization buffer set (Thermo Fisher Scientific, #88-8824-00) and stained with anti-Ki67-BV785, anti-FoxP3-AF647, anti-IKZF3-PE or adequate isotype controls (Thermo Fisher Scientific, BD Biosciences). Then, cells were analyzed using an LSR Fortessa (BD Biosciences) and FACSDiva (BD Biosciences, version 8). For analysis and gating of flow cytometry data FlowJo (v10.8.0) was used.Compensation was done prior measurement in FACSDiva. Corresponding compensation controls are provided for each measurement.
DOI: 10.5281/zenodo.10573954
title: Data set for "Exploring self-efficacy beliefs in symbiotic collaboration with students"

description: Data set for "Exploring self-efficacy beliefs in symbiotic collaboration with students", used to calculate correlation between self-confidence and self-efficacy beliefs
DOI: 10.5281/zenodo.10573955
title: Data set for "Exploring self-efficacy beliefs in symbiotic collaboration with students"

description: Data set for "Exploring self-efficacy beliefs in symbiotic collaboration with students", used to calculate correlation between self-confidence and self-efficacy beliefs
DOI: 10.5519/qd.tuk07k3m
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (40 records)
DOI: 10.3886/e120804
title: Data and Code for: Do Immigration Raids Deter Head Start Enrollment?

description: We study whether raids lead to a decrease in Hispanic Head Start enrollment. Specifically, using a nationwide dataset of immigration raids from 2006 through 2008, a period of intensified interior enforcement in the U.S., we provide the first large-scale evidence of the causal impact of local raids on a community. After applying a flexible matching strategy across counties with differential exposure to raids to create analysis samples, we employ a triple-difference strategy to disentangle enrollment changes from leaving a community (mobility effect) versus disengagement from services (deterrence effect). We find robust evidence that immigration raids decrease Hispanic enrollment in Head Start by 10 percent. Further, by comparing this effect to Hispanic students enrolled in first grade, we find evidence that the decrease in Head Start enrollment is driven by a deterrence effect. In other words, after a raid occurs locally, our findings suggest that families are staying in their communities but not enrolling their children in Head Start.
DOI: 10.3886/e120804v1-145629
title: Data and Code for: Do Immigration Raids Deter Head Start Enrollment?

description: We study whether raids lead to a decrease in Hispanic Head Start enrollment. Specifically, using a nationwide dataset of immigration raids from 2006 through 2008, a period of intensified interior enforcement in the U.S., we provide the first large-scale evidence of the causal impact of local raids on a community. After applying a flexible matching strategy across counties with differential exposure to raids to create analysis samples, we employ a triple-difference strategy to disentangle enrollment changes from leaving a community (mobility effect) versus disengagement from services (deterrence effect). We find robust evidence that immigration raids decrease Hispanic enrollment in Head Start by 10 percent. Further, by comparing this effect to Hispanic students enrolled in first grade, we find evidence that the decrease in Head Start enrollment is driven by a deterrence effect. In other words, after a raid occurs locally, our findings suggest that families are staying in their communities but not enrolling their children in Head Start.
DOI: 10.5281/zenodo.10573993
title: Transcription of focus groups

description: Transcription of focus groups used for "Self-confidence and its role in translator training: the students' perspective", published as a chapter in "Innovation and Expansion in Translation Process Research" by John Benjamins (https://www.jbe-platform.com/content/journals/10.1075/babel.00121.liu?crawler=true)
DOI: 10.5281/zenodo.10573994
title: Transcription of focus groups

description: Transcription of focus groups used for "Self-confidence and its role in translator training: the students' perspective", published as a chapter in "Innovation and Expansion in Translation Process Research" by John Benjamins (https://www.jbe-platform.com/content/journals/10.1075/babel.00121.liu?crawler=true)
DOI: 10.3886/e149062v1-145630
title: Concealed Carry Weapons License Database

description: The Concealed Carry Weapons License Database (CCWLD) is a longitudinal collection of state and county-level data on concealed carry weapons licenses (CCWs). <br><br>Data were collected from a series of internet searches and freedom of information requests sent to state governments during the fall of 2019 and winter of 2020. Data cleaning was conducted by research assistants and by Trent Steidley in the winter of 2021.<br>Documentation memos for each state are provided in the archived files. Along with raw data files, Stata syntax for cleaning, and the final cleaned database.<br><br>This database was supported with funding from the Center on American Politics at the University of Denver and a Professional Research Opportunity for Faculty (PROF) grant from the University of Denver. <br>If you use these data in your research please cite them appropriately.<br>
DOI: 10.34740/kaggle/dsv/7488442
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.34740/kaggle/dsv/7488449
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.25345/c5j960m79
title: MassIVE MSV000093936 - Unbiased quantification of core-fucosylation stoichiometry reveals its role in cancer progression and embryonic development
title: Core fucosylation on N-glycosylation plays pivotal roles in regulating ligand binding and cell adhesion, and it is critical to investigate the level of core fucosylation changes in biological processes to further understand its functions. Nevertheless, an unbiased method to globally measure the core fucosylation stoichiometry has not been developed. Here, we devised an approach combining selective enrichment, enzymatic reactions, and multiplexed proteomics to unbiasedly quantify the core fucosylation stoichiometry in multiple biological systems. It was found that the core fucosylation stoichiometry is the lowest in the lysosome and the highest in the extracellular matrix. Moreover, different core fucosylation stoichiometry was observed for the glycosites dwell in various protein domains, and the more aromatic and hydrophobic residues neighboring the glycosites is associated with lower core fucosylation stoichiometry. The method was applied to quantify the core fucosylation stoichiometry change in EMT. It was found that although the overall core fucosylation stoichiometry was similar in the epithelial and mesenchymal states, some glycoproteins involved in extracellular matrix organization and ligand recognition displayed dramatic stoichiometry change, which suggests the regulatory role of core fucosylation in EMT. Breast cell lines (MCF10A, MCF7, and MDA-MB-231) were used as models for cancer progression, and we found that a significant increase of core fucosylation stoichiometry in MDA-MB-231 cells (&gt;80%) comparing to the noncancerous MCF10A cells, but the overall stoichiometry was similar for MCF7 and MCF10A. Moreover, the core fucosylation stoichiometry of an embryonic human kidney cell line, HEK293T was compared with a kidney cancer cell line A498. It was found that the average stoichiometry in HEK293T was the highest among all cell lines quantified in this work (~84%) and was much higher than that of A498 cells, indicating core fucosylation may be an influential regulator in embryonic development. Without any sample restriction, this method can serve as a valuable tool for investigating core fucosylation change in various biological processes.
DOI: 10.5281/zenodo.10573937
title: Accelerated corrosion of low carbon steel by oscillatory acidic streams generated with a bio-inspired claw device

description: A mechanical device inspired by the pistol shrimp snapper claw was developed. This technology features a claw characterized by a periodic opening/closing motion, at a controlled frequency, capable of producing oscillating flows at transitional Reynolds numbers. An innovative method was also proposed for determining the corrosion rate of carbon steel samples under oscillating acidic streams (aqueous solution of HCl). By employing very-thin carbon steel specimens, with one side coated with Zn and not exposed to the stream, it became possible to electrochemically sense the Zn surface once the steel sample was perforated, thus providing the average dissolution rate into the most relevant pit on the steel surface. Furthermore, a laser light positioned beneath the metallic sample, along with a camera programmed to periodically capture images of the steel surface, facilitated the accurate counting of the number of newly formed pits. The system consisting of the thin steel sample and the Zn coating can be seen as a type of corrosion sensor. Furthermore, the proposed laser illumination method allows corroborating the electrochemical detection of pits and also establishing their location. The techniques crafted in this study pave the way for developing alternative corrosion sensors that boast appealing attributes: affordability, compactness, and acceptable accuracy to detect in time and space localized damage.

Experimental data on claw motion were obtained by processing videos taken with a high-speed camera (1000 frames per second).  The Excel file "Angular_motion.xlsx" contains the displacement and velocity data developed by the claw. Also attached is the Wolfram Mathematica file "Velocity_pincer.nb" with which the flow velocity plots developed by the device were created (Figure 2 of the paper and Figure S1A in the appendix).

Image analysis to identify and count the pits was performed using two Python programs (Program 1.py; Program 2.py). 

Program 1: This program performs IMAGE segmentation using the thresholding method. Moreover, multiplies grayscale IMAGE by a manually created MASK for each exposure time. The use of a separate mask for each exposure time is necessary to compensate for mechanical device vibrations that prevent the creation of a standard mask. Consequently, a manual creation of a mask using Paint software is required for each image. The output image of this program will feed into program 2.

Program 2: This program detects discontinuities in the segmented image (white pixels) and surrounds them with lines while counting them (which corresponds to the laser dots that indicate local dissolutions).

The Excel program "Image processing parameters.xlsx" contains the results of image analysis such as the number and size of pits located. These data were used to construct Figures 8 and 9 of the manuscript.

The Excel program "Corrosion rate.xlsx" contains the calculations for estimating the corrosion velocity of steel samples.
DOI: 10.5281/zenodo.10573938
title: Accelerated corrosion of low carbon steel by oscillatory acidic streams generated with a bio-inspired claw device

description: A mechanical device inspired by the pistol shrimp snapper claw was developed. This technology features a claw characterized by a periodic opening/closing motion, at a controlled frequency, capable of producing oscillating flows at transitional Reynolds numbers. An innovative method was also proposed for determining the corrosion rate of carbon steel samples under oscillating acidic streams (aqueous solution of HCl). By employing very-thin carbon steel specimens, with one side coated with Zn and not exposed to the stream, it became possible to electrochemically sense the Zn surface once the steel sample was perforated, thus providing the average dissolution rate into the most relevant pit on the steel surface. Furthermore, a laser light positioned beneath the metallic sample, along with a camera programmed to periodically capture images of the steel surface, facilitated the accurate counting of the number of newly formed pits. The system consisting of the thin steel sample and the Zn coating can be seen as a type of corrosion sensor. Furthermore, the proposed laser illumination method allows corroborating the electrochemical detection of pits and also establishing their location. The techniques crafted in this study pave the way for developing alternative corrosion sensors that boast appealing attributes: affordability, compactness, and acceptable accuracy to detect in time and space localized damage.

Experimental data on claw motion were obtained by processing videos taken with a high-speed camera (1000 frames per second).  The Excel file "Angular_motion.xlsx" contains the displacement and velocity data developed by the claw. Also attached is the Wolfram Mathematica file "Velocity_pincer.nb" with which the flow velocity plots developed by the device were created (Figure 2 of the paper and Figure S1A in the appendix).

Image analysis to identify and count the pits was performed using two Python programs (Program 1.py; Program 2.py). 

Program 1: This program performs IMAGE segmentation using the thresholding method. Moreover, multiplies grayscale IMAGE by a manually created MASK for each exposure time. The use of a separate mask for each exposure time is necessary to compensate for mechanical device vibrations that prevent the creation of a standard mask. Consequently, a manual creation of a mask using Paint software is required for each image. The output image of this program will feed into program 2.

Program 2: This program detects discontinuities in the segmented image (white pixels) and surrounds them with lines while counting them (which corresponds to the laser dots that indicate local dissolutions).

The Excel program "Image processing parameters.xlsx" contains the results of image analysis such as the number and size of pits located. These data were used to construct Figures 8 and 9 of the manuscript.

The Excel program "Corrosion rate.xlsx" contains the calculations for estimating the corrosion velocity of steel samples.
DOI: 10.22003/xfel.eu-data-004316-00
title: Community Proposal on ultrafast screening dynamics and collective excitations in hybrid plasmonic heterostructures
DOI: 10.5517/ccdc.csd.cc2ghzjh
title: CCDC 2279477: Experimental Crystal Structure Determination

description: Related Article: Yun-liang Zhang, Zhi-li Zhang, Yao Huang, Ming-xiong Tan, Zhen-feng Chen|2007|Guangxi Shifan Daxue Xuebao Ziran Kexueban|25|54|
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.cc2gjf9r
title: CCDC 2279904: Experimental Crystal Structure Determination

description: Related Article: Shreya Mahajan, Manu Lahtinen|2023|Cryst.Growth Des.|24|747|doi:10.1021/acs.cgd.3c01172
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.cc2gjfbs
title: CCDC 2279905: Experimental Crystal Structure Determination

description: Related Article: Shreya Mahajan, Manu Lahtinen|2023|Cryst.Growth Des.|24|747|doi:10.1021/acs.cgd.3c01172
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.cc2gjfdv
title: CCDC 2279907: Experimental Crystal Structure Determination

description: Related Article: Shreya Mahajan, Manu Lahtinen|2023|Cryst.Growth Des.|24|747|doi:10.1021/acs.cgd.3c01172
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.cc2gjffw
title: CCDC 2279908: Experimental Crystal Structure Determination

description: Related Article: Shreya Mahajan, Manu Lahtinen|2023|Cryst.Growth Des.|24|747|doi:10.1021/acs.cgd.3c01172
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.