cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7925/drs1.duchas_5115388
title: Local Cures

description: Story collected by Máire Ní Loinsigh, a student at Ballinacree (C.) school (Ballynacree, Co. Meath) from informant Phil Carroll.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Eibhlín Bean Uí Chonnachtáin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5115390
title: Old Cures

description: Story collected by Lillie Guirke, a student at Gortloney school (Gortloney, Co. Meath) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Eoghan de Buitléir.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.5066/p9b616c5
title: Footprints of Lidar Datasets Published at the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center since 2001

description: Footprints were generated for each lidar (light detection and ranging) dataset published by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC) since 2001. The purpose of this data release is to provide an easily accessible index of the coverage of available lidar data. Relating these footprints to field activities and publications allows users to sort by area(s) of interest and easily access the related data from the publication. Please see those publications for more details on the data acquisition and processing of the datasets. Note: This data release was versioned on June 30, 2023. Please see the Suggested Citation section for details.
DOI: 10.5281/zenodo.8101825
title: Supporting data for "Detection of single ions in a nanoparticle coupled to a fiber cavity"

description: Data for Fig. 2b, 2d, 3 and 4 of the paper "Detection of single ions in a nanoparticle coupled to a fiber cavity"
DOI: 10.5066/p9ah09t5
title: Fish communities in Delmarva Peninsula streams, 2022

description: From 31 May to 29 June, 2022, a Virginia Tech team of 4-5 sampled the fish community in 30 Delmarva Peninsula streams (Maryland and Delaware, USA) as part of a larger stream-health study including other teams who surveyed geomorphology, water quality, flow, temperature, macroinvertebrates, and fish health at the same 30 streams. These 30 Chesapeake Bay Watershed tributaries had upstream drainage areas of 9 to 54 sq. km. At each stream, we sampled fish from two reaches using two-pass backpack electrofishing and seining. Reach A was the main reach surveyed by all the interdisciplinary teams; Reach B was surveyed for fish communities only. Reach length was 20 wetted channel widths, capped at 150 meters. Fish were identified to species, assigned to a length class, inspected for anomalies, and released. Other measurements included water temperature, electrical conductivity, and clarity, and streambed area comprising pool, riffle, and run habitats.
DOI: 10.3886/e113058v1-139843
title: Replication data for: Does Extending Unemployment Benefits Improve Job Quality?

description: Contrary to standard search models predictions, past studies have not found a positive effect of unemployment insurance (UI) on reemployment wages. We estimate a positive UI wage effect exploiting an age-based regression discontinuity design in Austria. A search model incorporating duration dependence predicts two countervailing forces: UI induces workers to seek higher-wage jobs, but reduces wages by lengthening unemployment. Matching-function heterogeneity plausibly generates a negative relationship between the UI unemployment-duration and wage effects, which holds empirically in our sample and across studies, reconciling disparate wage-effect estimates. Empirically, UI raises wages by improving reemployment firm quality and attenuating wage drops.
description: Individuals enrolled in the public pension and unemployment insurance systems in Austria.
DOI: 10.6084/m9.figshare.23310731
title: <strong>Dataset for Rare and opportunistic use of torpor in mammals – an echo from the past?</strong>

description: Excel list of species known to use torpor that were used in the analysis. The file includes information about the climatic region, the mode of torpor use, flexibility in torpor bout duration, seasonality of torpor use and torpor predictability. Also see notes in excel sheet. References can be found in the supplemenatry information related to the publication.
DOI: 10.5281/zenodo.7712024
title: HADES: An NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures. Study dataset

description: The publication and research associated with this dataset are currently under review in the Journal of Network and Computer Applications. In that research, we present HADES, an NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures. HADES is an OSM (Open Source MANO) extension that allows the configuration of virtual network functions and their subsequent resource allocation and deployment at the edge, minimizing energy consumption and ensuring the quality of service. This dataset contains the following: 1 CSV file with execution time results of the iTAREA module for (60) different problem sizes and (3) execution environments. 1 CSV file with energy consumption results of HADES deployments and other 5 assignment policies: First-fit, Random-fit, Fastest-fit, Best-fit, and kube-scheduler (the Kubernetes’ assignment policy). This work is supported by the European Union's H2020 research and innovation programme under grant agreement DAEMON 101017109 and by the projects co-financed by FEDER funds LEIA UMA18-FEDERJA-15 and IRIS PID2021-122812OB-I00 (MCI/AEI).
DOI: 10.5281/zenodo.7712023
title: HADES: An NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures. Study dataset

description: The publication and research associated with this dataset are currently under review in the Journal of Network and Computer Applications. In that research, we present HADES, an NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures. HADES is an OSM (Open Source MANO) extension that allows the configuration of virtual network functions and their subsequent resource allocation and deployment at the edge, minimizing energy consumption and ensuring the quality of service. This dataset contains the following: 1 CSV file with execution time results of the iTAREA module for (60) different problem sizes and (3) execution environments. 1 CSV file with energy consumption results of HADES deployments and other 5 assignment policies: First-fit, Random-fit, Fastest-fit, Best-fit, and kube-scheduler (the Kubernetes’ assignment policy). This work is supported by the European Union's H2020 research and innovation programme under grant agreement DAEMON 101017109 and by the projects co-financed by FEDER funds LEIA UMA18-FEDERJA-15 and IRIS PID2021-122812OB-I00 (MCI/AEI).
DOI: 10.57892/100-9
title: Supplemental material to 'Video aided extinction measurement: A competitive method for dust density diagnostics'

description: In the following a set of experimental data (excerpt) of a monitored a:C-H nanoparticle growth cycle in a low temperature, capacitively coupled argon discharge is provided . This is a demonstration of the 'Video aided extinction measurement'. MATLAB analysis scripts can be used, to calculate particle densities. The resulting images are packaged into videos and display particle density and uncertainty in different ways. shows the density with fixed axis limits and one example of a low pass filtering approach is given in . Because displaying fixed axis limits leads to limited color resolution, contains the same data, but rescales the colorbar while the overall density changes. This gives a better understanding of the relative local density variation. finally shows an estimate of the time and spatially resolved uncertainty of the method, calculated from the experimental data. As intensities are very low, the relative error is correspondingly very high (the axis \Delta nd / nd is capped at 2, which equals 200% uncertainty). For higher laser light extinction, the uncertainty of the data within the cloud approaches 25%, which is the limit due to uncertainty of the particle size measurement. Outside of the cloud the uncertainty stays high, because there are no particles to scatter light and provide a measureable signal.
DOI: 10.15132/10000214
title: ECHO

description: Abstract Tayside echocardiographic dataset. The dataset collects all the values obtained during the scan.
description: Documentation The dataset collects all the values obtained during the scan and the operator's assessment of the cardiac chambers and valves, together with a free text field to describe the operator's overall opinion of the images.
DOI: 10.5281/zenodo.7015426
title: BGC-Argo radiometry matchups with L2 satellite images from MODIS, VIIRS and OLCI sensors

description: Diffuse attenuation coefficients(Kd) were computed from measured downwelling irradiance measurements from BGC-Argo floats. Matchups between satellite images and float profiles were then performed. Estimates of Kd at two different wavelengths and<br> band-integrated (PAR) were obtained from Remote Sensing Reflectance using different published algorithms developed for open ocean waters spanning in type from explicit-empirical, semi-analytical and implicit-empirical and applied to data from spectral radiometers on board six different satellites (MODIS-Aqua, MODIS-Terra, VIIRS–SNPP, VIIRS-JPSS, OLCI-Sentinel 3A and OLCI-Sentinel 3B).
DOI: 10.5281/zenodo.7015427
title: BGC-Argo radiometry matchups with L2 satellite images from MODIS, VIIRS and OLCI sensors

description: Diffuse attenuation coefficients(Kd) were computed from measured downwelling irradiance measurements from BGC-Argo floats. Matchups between satellite images and float profiles were then performed. Estimates of Kd at two different wavelengths and<br> band-integrated (PAR) were obtained from Remote Sensing Reflectance using different published algorithms developed for open ocean waters spanning in type from explicit-empirical, semi-analytical and implicit-empirical and applied to data from spectral radiometers on board six different satellites (MODIS-Aqua, MODIS-Terra, VIIRS–SNPP, VIIRS-JPSS, OLCI-Sentinel 3A and OLCI-Sentinel 3B).
DOI: 10.5281/zenodo.7682700
title: BGC-Argo radiometry matchups with L2 satellite images from MODIS, VIIRS and OLCI sensors

description: Diffuse attenuation coefficients(Kd) were computed from measured downwelling irradiance measurements from BGC-Argo floats. Matchups between satellite images and float profiles were then performed. Estimates of Kd at two different wavelengths and<br> band-integrated (PAR) were obtained from Remote Sensing Reflectance using different published algorithms developed for open ocean waters spanning in type from explicit-empirical, semi-analytical and implicit-empirical and applied to data from spectral radiometers on board six different satellites (MODIS-Aqua, MODIS-Terra, VIIRS–SNPP, VIIRS-JPSS, OLCI-Sentinel 3A and OLCI-Sentinel 3B).
DOI: 10.6084/m9.figshare.23609244.v1
title: Supplementary file_Le Bourvellec et al..xlsx

description: Supplemental file for a systematic review with meta-analysis.
DOI: 10.5281/zenodo.8095551
title: Dataset annexed to: "Testing ethical impact assessment for nano risk governance"

description: To test the ethical impact assessment methodology guidelines and tools adapting CEN Workshop Agreement part 2 CWA 17145-2:2017 (E)) to support risk governance of nanomaterials, in the RiskGONE project (https://riskgone.eu/), feedback from stakeholders was requested. This dataset includes the responses of participants in several online meetings. The dataset is linked to the paper "Testing ethical impact assessment for nano risk governance".
DOI: 10.5281/zenodo.8095552
title: Dataset annexed to: "Testing ethical impact assessment for nano risk governance"

description: To test the ethical impact assessment methodology guidelines and tools adapting CEN Workshop Agreement part 2 CWA 17145-2:2017 (E)) to support risk governance of nanomaterials, in the RiskGONE project (https://riskgone.eu/), feedback from stakeholders was requested. This dataset includes the responses of participants in several online meetings. The dataset is linked to the paper "Testing ethical impact assessment for nano risk governance".
DOI: 10.57971/pkpa-h928
title: 2.5 us all-atom MD simulation of the cardiac KCNQ1 channel embedded in a membrane containing the PUFA analog LIN-TYR at binding site I

description: 2.5 us all-atom MD simulation of the cardiac KCNQ1 channel embedded in a membrane containing the PUFA analog LIN-TYR at binding site I<br>The KCNQ1 channel is important for the repolarization phase of the cardiac action potential. Loss of function mutations in KCNQ1 can cause long QT syndrome (LQTS), which can lead to cardiac arrythmia and even sudden cardiac death. We have previously shown that polyunsaturated fatty acids (PUFAs) and PUFA analogs can activate the cardiac KCNQ1 channel, making them potential therapeutics for the treatment of LQTS. PUFAs bind to KCNQ1 at two different binding sites: one at the voltage sensor (Site I) and one at the pore (Site II). PUFA interaction at Site I shifts the voltage dependence of the channel to the left, while interaction at Site II increases maximal conductance. The PUFA analogs, linoleic-glycine and linoleic-tyrosine, are more effective than linoleic acid at Site I, but less effective at Site II. Using both simulations and experiments, we find that the larger head groups of linoleic-glycine and linoleic-tyrosine interact with more residues than the smaller linoleic acid at Site I. We propose that this will stabilize the negatively charged PUFA head group in a position to better interact electrostatically with the positively charges in the voltage sensor. In contrast, the larger head groups of linoleic-glycine and linoleic-tyrosine compared to in linoleic acid prevents a close fit of these PUFA analogs in Site II, which is more confined. In addition, we identify several KCNQ1 residues as critical PUFA-analog binding residues, thereby providing molecular models of specific interactions between PUFA analogs and KCNQ1. These interactions will aid in future drug development based on PUFA-KCNQ1 channel interactions.
DOI: 10.57971/vtpb-d957
title: 2.5 us all-atom MD simulation of the cardiac KCNQ1 channel embedded in a membrane containing the PUFA analog LIN-TYR at binding site II

description: 2.5 us all-atom MD simulation of the cardiac KCNQ1 channel embedded in a membrane containing the PUFA analog LIN-TYR at binding site II<br>The KCNQ1 channel is important for the repolarization phase of the cardiac action potential. Loss of function mutations in KCNQ1 can cause long QT syndrome (LQTS), which can lead to cardiac arrythmia and even sudden cardiac death. We have previously shown that polyunsaturated fatty acids (PUFAs) and PUFA analogs can activate the cardiac KCNQ1 channel, making them potential therapeutics for the treatment of LQTS. PUFAs bind to KCNQ1 at two different binding sites: one at the voltage sensor (Site I) and one at the pore (Site II). PUFA interaction at Site I shifts the voltage dependence of the channel to the left, while interaction at Site II increases maximal conductance. The PUFA analogs, linoleic-glycine and linoleic-tyrosine, are more effective than linoleic acid at Site I, but less effective at Site II. Using both simulations and experiments, we find that the larger head groups of linoleic-glycine and linoleic-tyrosine interact with more residues than the smaller linoleic acid at Site I. We propose that this will stabilize the negatively charged PUFA head group in a position to better interact electrostatically with the positively charges in the voltage sensor. In contrast, the larger head groups of linoleic-glycine and linoleic-tyrosine compared to in linoleic acid prevents a close fit of these PUFA analogs in Site II, which is more confined. In addition, we identify several KCNQ1 residues as critical PUFA-analog binding residues, thereby providing molecular models of specific interactions between PUFA analogs and KCNQ1. These interactions will aid in future drug development based on PUFA-KCNQ1 channel interactions.
DOI: 10.57971/640a-gd68
title: 2.5 us all-atom MD simulation of the cardiac KCNQ1 channel embedded in a membrane containing the PUFA analog LIN-GLY at binding site II

description: 2.5 us all-atom MD simulation of the cardiac KCNQ1 channel embedded in a membrane containing the PUFA analog LIN-GLY at binding site II<br>The KCNQ1 channel is important for the repolarization phase of the cardiac action potential. Loss of function mutations in KCNQ1 can cause long QT syndrome (LQTS), which can lead to cardiac arrythmia and even sudden cardiac death. We have previously shown that polyunsaturated fatty acids (PUFAs) and PUFA analogs can activate the cardiac KCNQ1 channel, making them potential therapeutics for the treatment of LQTS. PUFAs bind to KCNQ1 at two different binding sites: one at the voltage sensor (Site I) and one at the pore (Site II). PUFA interaction at Site I shifts the voltage dependence of the channel to the left, while interaction at Site II increases maximal conductance. The PUFA analogs, linoleic-glycine and linoleic-tyrosine, are more effective than linoleic acid at Site I, but less effective at Site II. Using both simulations and experiments, we find that the larger head groups of linoleic-glycine and linoleic-tyrosine interact with more residues than the smaller linoleic acid at Site I. We propose that this will stabilize the negatively charged PUFA head group in a position to better interact electrostatically with the positively charges in the voltage sensor. In contrast, the larger head groups of linoleic-glycine and linoleic-tyrosine compared to in linoleic acid prevents a close fit of these PUFA analogs in Site II, which is more confined. In addition, we identify several KCNQ1 residues as critical PUFA-analog binding residues, thereby providing molecular models of specific interactions between PUFA analogs and KCNQ1. These interactions will aid in future drug development based on PUFA-KCNQ1 channel interactions.
DOI: 10.57971/2mn2-3m18
title: 2.5 us all-atom MD simulation of the cardiac KCNQ1 channel embedded in a membrane containing the PUFA analog LIN-GLY at binding site I

description: 2.5 us all-atom MD simulation of the cardiac KCNQ1 channel embedded in a membrane containing the PUFA analog LIN-GLY at binding site I<br>The KCNQ1 channel is important for the repolarization phase of the cardiac action potential. Loss of function mutations in KCNQ1 can cause long QT syndrome (LQTS), which can lead to cardiac arrythmia and even sudden cardiac death. We have previously shown that polyunsaturated fatty acids (PUFAs) and PUFA analogs can activate the cardiac KCNQ1 channel, making them potential therapeutics for the treatment of LQTS. PUFAs bind to KCNQ1 at two different binding sites: one at the voltage sensor (Site I) and one at the pore (Site II). PUFA interaction at Site I shifts the voltage dependence of the channel to the left, while interaction at Site II increases maximal conductance. The PUFA analogs, linoleic-glycine and linoleic-tyrosine, are more effective than linoleic acid at Site I, but less effective at Site II. Using both simulations and experiments, we find that the larger head groups of linoleic-glycine and linoleic-tyrosine interact with more residues than the smaller linoleic acid at Site I. We propose that this will stabilize the negatively charged PUFA head group in a position to better interact electrostatically with the positively charges in the voltage sensor. In contrast, the larger head groups of linoleic-glycine and linoleic-tyrosine compared to in linoleic acid prevents a close fit of these PUFA analogs in Site II, which is more confined. In addition, we identify several KCNQ1 residues as critical PUFA-analog binding residues, thereby providing molecular models of specific interactions between PUFA analogs and KCNQ1. These interactions will aid in future drug development based on PUFA-KCNQ1 channel interactions.
DOI: 10.25345/c54j0b730
title: MassIVE MSV000092316 - 06302023_NAU_Cope_Alzheimers_Fecal
title: Fecal samples from a disease model of Alzheimers were analyzed on the QExactive HF in positive polarity. This was a time course study.
DOI: 10.34740/kaggle/dsv/5885535
title: Bangladeshi License Plate Recognition Dataset
DOI: 10.5281/zenodo.8101877
title: Distance learning and face-to-face learning in medical PBL course during COVID-19 pandemic: an investigation and teaching experience

description: Our research provides an experience for the PBL class focusing on discussion and communication. In the post-pandemic era, whether face-to-face or distance learning, classes should be adjusted properly to let students conduct effective communication in time.
DOI: 10.5281/zenodo.8101876
title: Distance learning and face-to-face learning in medical PBL course during COVID-19 pandemic: an investigation and teaching experience

description: Our research provides an experience for the PBL class focusing on discussion and communication. In the post-pandemic era, whether face-to-face or distance learning, classes should be adjusted properly to let students conduct effective communication in time.
DOI: 10.5517/ccdc.csd.cc239tx5
title: CCDC 1945867: Experimental Crystal Structure Determination

description: Related Article: Maryam Aghaee, Khosro Mohammadi, Payam Hayati, Paria Sharafi-Badr, Fatemeh Yazdian, Angel Gutierrez Alonso, Sadegh Rostamnia, Fazlolah Eshghi|2022|J.Solid State Chem.|310|123013|doi:10.1016/j.jssc.2022.123013
DOI: 10.5517/ccdc.csd.cc27nr3s
title: CCDC 2075515: Experimental Crystal Structure Determination

description: Related Article: Chenyang Liu, Yu Wang, Ai Wang, Feng Su, Hongfei Wang|2022|Results in Chemistry|4|100318|doi:10.1016/j.rechem.2022.100318
DOI: 10.5517/ccdc.csd.cc27nrrf
title: CCDC 2075535: Experimental Crystal Structure Determination

description: Related Article: Chenyang Liu, Yu Wang, Ai Wang, Feng Su, Hongfei Wang|2022|Results in Chemistry|4|100318|doi:10.1016/j.rechem.2022.100318
DOI: 10.5517/ccdc.csd.cc27v6y8
title: CCDC 2080780: Experimental Crystal Structure Determination

description: Related Article: Jianning Liao, Jiaqing Xu, Yongjun Wu, Yuxia Hou, Hongchao Guo|2022|Adv.Synth.Catal.|364|1074|doi:10.1002/adsc.202101251
DOI: 10.5517/ccdc.csd.cc2875mb
title: CCDC 2092271: Experimental Crystal Structure Determination

description: Related Article: Kyle M. K. Jackman, Guangchao Liang, Paul D. Boyle, Paul M. Zimmerman, Johanna M. Blacquiere|2022|Dalton Trans.|51|3977|doi:10.1039/D2DT00322H
DOI: 10.5517/ccdc.csd.cc28sydf
title: CCDC 2109345: Experimental Crystal Structure Determination

description: Related Article: Suresh Kumar Yadav, Balu Ramesh, Masilamani Jeganmohan|2022|J.Org.Chem.|87|4134|doi:10.1021/acs.joc.1c02967
DOI: 10.5517/ccdc.csd.cc29130h
title: CCDC 2116215: Experimental Crystal Structure Determination

description: Related Article: Thomas T. Kim, Chungwoo Lee, Dongwook Kim, Hee-Seung Lee, Sunkyu Han|2022|Org.Lett.|24|1964|doi:10.1021/acs.orglett.2c00379
DOI: 10.5517/ccdc.csd.cc29131j
title: CCDC 2116216: Experimental Crystal Structure Determination

description: Related Article: Thomas T. Kim, Chungwoo Lee, Dongwook Kim, Hee-Seung Lee, Sunkyu Han|2022|Org.Lett.|24|1964|doi:10.1021/acs.orglett.2c00379
DOI: 10.5517/ccdc.csd.cc29132k
title: CCDC 2116217: Experimental Crystal Structure Determination

description: Related Article: Thomas T. Kim, Chungwoo Lee, Dongwook Kim, Hee-Seung Lee, Sunkyu Han|2022|Org.Lett.|24|1964|doi:10.1021/acs.orglett.2c00379