cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8307277
title: Adult adrenal gland scRNA-seq

description: Adult adrenal gland scRNA-seq dataset. Gene expression matrices (in dgCMatrix format) are provided as RDS files.
DOI: 10.5281/zenodo.8336489
title: Adult adrenal gland scRNA-seq

description: Adult adrenal gland scRNA-seq dataset. Gene expression matrices (in dgCMatrix format) are provided as RDS files. Cell annotations (cell types, cortex zonations, and genotypes) are provided in CSV format.
DOI: 10.5281/zenodo.8333012
title: MD simulation trajectory for Heterogenous lipid bilayer with 150mM CaCl2 concentration

description: Equilibrated symmetric heterogenous lipid bilayer simulation ran with Gromacs 2020.4, Force field= Charmm36m, 300ns, T=300K, composed of 152 POPC, 96 POPE, 20 POPS, 80 CHOL, 36 PSM, and 16 GM1 molecules, 73 Ca2+, 110 Cl2- , 18915 water (TIP3P) molecules.
DOI: 10.5281/zenodo.8333011
title: MD simulation trajectory for Heterogenous lipid bilayer with 150mM CaCl2 concentration

description: Equilibrated symmetric heterogenous lipid bilayer simulation ran with Gromacs 2020.4, Force field= Charmm36m, 300ns, T=300K, composed of 152 POPC, 96 POPE, 20 POPS, 80 CHOL, 36 PSM, and 16 GM1 molecules, 73 Ca2+, 110 Cl2- , 18915 water (TIP3P) molecules.
DOI: 10.5281/zenodo.8053552
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Arthur Wilson Stelfox, http://www.wikidata.org/entity/Q4800712. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4800712
DOI: 10.5281/zenodo.8336500
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Arthur Wilson Stelfox, http://www.wikidata.org/entity/Q4800712. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4800712
DOI: 10.5281/zenodo.8053551
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Arthur Wilson Stelfox, http://www.wikidata.org/entity/Q4800712. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4800712
DOI: 10.5281/zenodo.8122774
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Evelyn Cheesman, http://www.wikidata.org/entity/Q3061380. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3061380
DOI: 10.5281/zenodo.8122775
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Evelyn Cheesman, http://www.wikidata.org/entity/Q3061380. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3061380
DOI: 10.5281/zenodo.8336511
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Evelyn Cheesman, http://www.wikidata.org/entity/Q3061380. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3061380
DOI: 10.5281/zenodo.8030893
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Francis Welles Hunnewell, http://www.wikidata.org/entity/Q117459739. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q117459739
DOI: 10.5281/zenodo.8084346
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Francis Welles Hunnewell, http://www.wikidata.org/entity/Q117459739. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q117459739
DOI: 10.5281/zenodo.8157505
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Francis Welles Hunnewell, http://www.wikidata.org/entity/Q117459739. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q117459739
DOI: 10.5281/zenodo.8336522
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Francis Welles Hunnewell, http://www.wikidata.org/entity/Q117459739. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q117459739
DOI: 10.5281/zenodo.8056768
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ava Claus, https://orcid.org/0009-0003-4944-688X. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.8056770
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ava Claus, https://orcid.org/0009-0003-4944-688X. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.8336523
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ava Claus, https://orcid.org/0009-0003-4944-688X. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.8056894
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Alexander Fenlon, https://orcid.org/0009-0003-2522-086X. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.8056895
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Alexander Fenlon, https://orcid.org/0009-0003-2522-086X. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.8336525
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Alexander Fenlon, https://orcid.org/0009-0003-2522-086X. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.8056907
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Tabitha Eldridge, https://orcid.org/0009-0007-9267-3171. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.8056909
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Tabitha Eldridge, https://orcid.org/0009-0007-9267-3171. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.8336528
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Tabitha Eldridge, https://orcid.org/0009-0007-9267-3171. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.25451/flinders.24123237
title: <b>Are buzzes signals of aggressive intent in Darwin’s finches?</b>

description: Data collected to investigate the function of buzz vocalisations in Darwin's finches.
DOI: 10.25451/flinders.24123237.v1
title: <b>Are buzzes signals of aggressive intent in Darwin’s finches?</b>

description: Data collected to investigate the function of buzz vocalisations in Darwin's finches.
DOI: 10.3886/e192371
title: ECIN Replication Package for "Measurement Errors in Popular Night Lights Data May Bias Estimated Impacts of Economic Sanctions: Evidence from Closing the Kaesong Industrial Zone"

description: This project evaluates economic impacts of the closure of the Kaesong Industrial Zone in North Korea in February 2016. This industrial zone employed over 50,000 North Korean workers in factories owned by South Korean companies, and all operations were stopped to sanction North Korea for nuclear tests. We use DMSP and VIIRS night lights data in a difference-in-difference framework, based on 2012-19 annual composites and using zonal statistics for the sum of lights mostly at the second sub-national level (n=186 spatial units) but also at the first sub-national level (13 provinces or centrally controlled municipalities). The measurement error properties of the DMSP data are also examined by comparison with the more accurate VIIRS data.
description: All second level and first-level sub-national units in North Korea. Smallest Geographic Unit: GADM36_PRK_2
description: remote sensing; The DMSP data are available from: https://eogdata.mines.edu/products/dmsp/#download and the VIIRS data from https://eogdata.mines.edu/nighttime_light/annual/v21/. The DMSP data are from satellite F18 for 2012-13 and from F15 from 2014 onwards. The VIIRS data are the masked average radiance annual composites.
DOI: 10.3886/e192371v1
title: ECIN Replication Package for "Measurement Errors in Popular Night Lights Data May Bias Estimated Impacts of Economic Sanctions: Evidence from Closing the Kaesong Industrial Zone"

description: This project evaluates economic impacts of the closure of the Kaesong Industrial Zone in North Korea in February 2016. This industrial zone employed over 50,000 North Korean workers in factories owned by South Korean companies, and all operations were stopped to sanction North Korea for nuclear tests. We use DMSP and VIIRS night lights data in a difference-in-difference framework, based on 2012-19 annual composites and using zonal statistics for the sum of lights mostly at the second sub-national level (n=186 spatial units) but also at the first sub-national level (13 provinces or centrally controlled municipalities). The measurement error properties of the DMSP data are also examined by comparison with the more accurate VIIRS data.
description: All second level and first-level sub-national units in North Korea. Smallest Geographic Unit: GADM36_PRK_2
description: remote sensing; The DMSP data are available from: https://eogdata.mines.edu/products/dmsp/#download and the VIIRS data from https://eogdata.mines.edu/nighttime_light/annual/v21/. The DMSP data are from satellite F18 for 2012-13 and from F15 from 2014 onwards. The VIIRS data are the masked average radiance annual composites.
DOI: 10.3886/e192371v2
title: ECIN Replication Package for "Measurement Errors in Popular Night Lights Data May Bias Estimated Impacts of Economic Sanctions: Evidence from Closing the Kaesong Industrial Zone"

description: This project evaluates economic impacts of the closure of the Kaesong Industrial Zone in North Korea in February 2016. This industrial zone employed over 50,000 North Korean workers in factories owned by South Korean companies, and all operations were stopped to sanction North Korea for nuclear tests. We use DMSP and VIIRS night lights data in a difference-in-difference framework, based on 2012-19 annual composites and using zonal statistics for the sum of lights mostly at the second sub-national level (n=186 spatial units) but also at the first sub-national level (13 provinces or centrally controlled municipalities). The measurement error properties of the DMSP data are also examined by comparison with the more accurate VIIRS data.
description: All second level and first-level sub-national units in North Korea. Smallest Geographic Unit: GADM36_PRK_2
description: remote sensing; The DMSP data are available from: https://eogdata.mines.edu/products/dmsp/#download and the VIIRS data from https://eogdata.mines.edu/nighttime_light/annual/v21/. The DMSP data are from satellite F18 for 2012-13 and from F15 from 2014 onwards. The VIIRS data are the masked average radiance annual composites.
DOI: 10.3886/e192371v3
title: ECIN Replication Package for "Measurement Errors in Popular Night Lights Data May Bias Estimated Impacts of Economic Sanctions: Evidence from Closing the Kaesong Industrial Zone"

description: This project evaluates economic impacts of the closure of the Kaesong Industrial Zone in North Korea in February 2016. This industrial zone employed over 50,000 North Korean workers in factories owned by South Korean companies, and all operations were stopped to sanction North Korea for nuclear tests. We use DMSP and VIIRS night lights data in a difference-in-difference framework, based on 2012-19 annual composites and using zonal statistics for the sum of lights mostly at the second sub-national level (n=186 spatial units) but also at the first sub-national level (13 provinces or centrally controlled municipalities). The measurement error properties of the DMSP data are also examined by comparison with the more accurate VIIRS data.
description: All second level and first-level sub-national units in North Korea. Smallest Geographic Unit: GADM36_PRK_2
description: remote sensing; The DMSP data are available from: https://eogdata.mines.edu/products/dmsp/#download and the VIIRS data from https://eogdata.mines.edu/nighttime_light/annual/v21/. The DMSP data are from satellite F18 for 2012-13 and from F15 from 2014 onwards. The VIIRS data are the masked average radiance annual composites.
DOI: 10.5281/zenodo.8287722
title: Wikidata Dump RPG

description: RDF dump of wikidata produced with wdumper.RPG games<br>View on wdumper<b>entity count<b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0</b></b>
DOI: 10.5281/zenodo.8287721
title: Wikidata Dump RPG

description: RDF dump of wikidata produced with wdumper.RPG games<br>View on wdumper<b>entity count<b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0</b></b>
DOI: 10.5519/qd.u8y7nui3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5661059 records)
DOI: 10.6084/m9.figshare.24123273
title: TerL Protein Alignment

description: Alignment for phage terL sequences used to make tree
DOI: 10.6084/m9.figshare.24123258
title: The critical role of deformation-assisted melt migration in the formation of oceanic core complexes: mineral chemistry

description: Olivine, diopside, enstatite and plagioclase mineral chemistry for samples 38R4 and 46R1 from the ODP 735B core (South West Indian Ridge)
DOI: 10.6084/m9.figshare.24123258.v1
title: The critical role of deformation-assisted melt migration in the formation of oceanic core complexes: mineral chemistry

description: Olivine, diopside, enstatite and plagioclase mineral chemistry for samples 38R4 and 46R1 from the ODP 735B core (South West Indian Ridge)
DOI: 10.6084/m9.figshare.24123255
title: Growth of <i>Escherichia </i><i>coli</i> strains ∆B_B, ∆B_B'[K13L], ∆B_B'[E87K], ∆B_B'[G131R], ∆B_B'[G268T], and ∆B_B'[A269M].

description: Growth of the derivertives of <i>Escherichia coli </i>strain W3110 hemB with <i>hemB</i> deletion (referred to as strain ∆B) harboring the plasmids for expression of <i>hemB </i>or its mutated gene with single amino acid substitution, namely the strains ∆B_B, ∆B_B'[K13L], ∆B_B'[E87K], ∆B_B'[G131R], ∆B_B'[G268T], and ∆B_B'[A269M] (inset: specific growth rates of each strain). Growth was evaluated by measuring the optical density at 660 nm (OD<sub>660</sub>).
DOI: 10.6084/m9.figshare.24123255.v1
title: Growth of <i>Escherichia </i><i>coli</i> strains ∆B_B, ∆B_B'[K13L], ∆B_B'[E87K], ∆B_B'[G131R], ∆B_B'[G268T], and ∆B_B'[A269M].

description: Growth of the derivertives of <i>Escherichia coli </i>strain W3110 hemB with <i>hemB</i> deletion (referred to as strain ∆B) harboring the plasmids for expression of <i>hemB </i>or its mutated gene with single amino acid substitution, namely the strains ∆B_B, ∆B_B'[K13L], ∆B_B'[E87K], ∆B_B'[G131R], ∆B_B'[G268T], and ∆B_B'[A269M] (inset: specific growth rates of each strain). Growth was evaluated by measuring the optical density at 660 nm (OD<sub>660</sub>).
DOI: 10.21227/21zx-9a54
title: Dataset of a Cyber-Physical Detection Tool Evaluated in a Multi-Stage Attack Scenario

description: Electric power systems are comprised of cyber and physical components that are crucial to grid resiliency. Data from both components should be collected when modeling power systems: data from communication networks and intrusion detection systems; physical telemetry from sensors and field devices. For accurate and timely detection of malicious activity, should we always account for cyber and physical telemetry data, or data fusion? To further investigate the application of data fusion, this paper presents a new threat scenario in which an adversary affects power generation. It is a multi-stage strategy that includes a database intrusion. Multiple industrial communication protocols are applied in a cyber-physical testbed. Packets and alarms are collected using our cyber-physical data fusion engine, and evaluated using an autoencoder algorithm. It predicted malicious packets with high precision at an early stage of the scenario, using cyber-only telemetry.
DOI: 10.6084/m9.figshare.24118410
title: Process modelling and techno-economic analysis of anaerobic digestion of sewage sludge integrated with wet oxidation using a gravity pressure vessel and thermal hydrolysis

description: Anaerobic digestion (AD) of sewage sludge is used to biodegrade sewage sludge into biomethane and digestate. With the addition of thermal processes such as thermal hydrolysis (TH) and wet oxidation (WO), AD biodegradability generally improves. Implementation of additional treatment is challenging due to the limitation in the mass and energy balances. Hence, tools such as process simulation can be utilized to predict the input and output around the process. The techno-economic analysis (TEA) of AD, especially incorporating the TH or WO using gravity pressure vessel (GPV) technology, is limited in the literature. In this study, TEA for four different scenarios of AD was conducted using Aspen Plus and economic analysis tools: (1) without any pre- or post-treatment, (2) with TH pre-treatment, (3) with 100% WO post-treatment, and (4) with 20% partial wet oxidation (PWO) and acid hydrolysis pre- or post-treatment. A simulation model (GPVM) was developed using Aspen Plus to mimic the GPV reactor. The study outcomes showed that Scenario 3 with 100% WO post-treatment was the most suitable for processing parameters and sludge treatment cost. The sensitivity analysis concluded that operating cost and plant capacity are the dominant factors that impact the plant feasibility significantly.
DOI: 10.6084/m9.figshare.24118410.v2
title: Process modelling and techno-economic analysis of anaerobic digestion of sewage sludge integrated with wet oxidation using a gravity pressure vessel and thermal hydrolysis

description: Anaerobic digestion (AD) of sewage sludge is used to biodegrade sewage sludge into biomethane and digestate. With the addition of thermal processes such as thermal hydrolysis (TH) and wet oxidation (WO), AD biodegradability generally improves. Implementation of additional treatment is challenging due to the limitation in the mass and energy balances. Hence, tools such as process simulation can be utilized to predict the input and output around the process. The techno-economic analysis (TEA) of AD, especially incorporating the TH or WO using gravity pressure vessel (GPV) technology, is limited in the literature. In this study, TEA for four different scenarios of AD was conducted using Aspen Plus and economic analysis tools: (1) without any pre- or post-treatment, (2) with TH pre-treatment, (3) with 100% WO post-treatment, and (4) with 20% partial wet oxidation (PWO) and acid hydrolysis pre- or post-treatment. A simulation model (GPVM) was developed using Aspen Plus to mimic the GPV reactor. The study outcomes showed that Scenario 3 with 100% WO post-treatment was the most suitable for processing parameters and sludge treatment cost. The sensitivity analysis concluded that operating cost and plant capacity are the dominant factors that impact the plant feasibility significantly.
DOI: 10.34740/kaggle/dsv/6454890
title: BBC News
DOI: 10.5281/zenodo.7988295
title: Data for the publication "Significant Increase in Graupel and Lightning Occurrence in a Warmer Climate Simulated by Prognostic Graupel Parameterization"

description: This dataset includes a set of 11yr simulations using the MIROC6 global aerosol-climate model under the pre-industrial (PI, aerosol emission at the year 1850), present-day (PD, aerosol emission at the year 2000), and future warming (SST+4K, a uniform 4 K increase in sea surface temperature) conditions. The data are used in the manuscript entitled "Significant Increase in Graupel and Lightning Occurrence in a Warmer Climate Simulated by Prognostic Graupel Parameterization".
DOI: 10.5281/zenodo.7988296
title: Data for the publication "Significant Increase in Graupel and Lightning Occurrence in a Warmer Climate Simulated by Prognostic Graupel Parameterization"

description: This dataset includes a set of 11yr simulations using the MIROC6 global aerosol-climate model under the pre-industrial (PI, aerosol emission at the year 1850), present-day (PD, aerosol emission at the year 2000), and future warming (SST+4K, a uniform 4 K increase in sea surface temperature) conditions. The data are used in the manuscript entitled "Significant Increase in Graupel and Lightning Occurrence in a Warmer Climate Simulated by Prognostic Graupel Parameterization".
DOI: 10.5281/zenodo.8333889
title: Data for the publication "Significant Increase in Graupel and Lightning Occurrence in a Warmer Climate Simulated by Prognostic Graupel Parameterization"

description: This dataset includes a set of 11yr simulations using the MIROC6 global aerosol-climate model under the pre-industrial (PI, aerosol emission at the year 1850), present-day (PD, aerosol emission at the year 2000), and future warming (SST+4K, a uniform 4 K increase in sea surface temperature) conditions. The data are used in the manuscript entitled "Significant Increase in Graupel and Lightning Occurrence in a Warmer Climate Simulated by Prognostic Graupel Parameterization".
DOI: 10.34740/kaggle/dsv/6454916
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.17909/8qhk-9685
title: NIRCam+MIRI data NGC3627 Cycle 1