cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fy8zfs2mnm.1
title: Data for: Direct Numerical Simulation and In-depth Analysis of Thermal Turbulence in Square Annular Duct

description: Instantaneous vortex structures represented by Liutex and temperature fields on different sections.
DOI: 10.17632/vxppbgdpfd.1
title: Data for: Monitoring drying process of varnish by immersion solid matching method

description: Refractive index of varnish (Mr. colour 46) as a function of time
DOI: 10.5281/zenodo.3402298
title: DWD European Weather 2

description: opendata.dwd.de - OpenData by Deutscher Wetter Dienst Conditions: https://www.dwd.de/EN/service/copyright/copyright_node.html dates and times are UTC.
DOI: 10.5281/zenodo.3401740
title: DWD European Weather 2

description: opendata.dwd.de - OpenData by Deutscher Wetter Dienst Conditions: https://www.dwd.de/EN/service/copyright/copyright_node.html dates and times are UTC.
DOI: 10.17632/7zyfckrf87.1
title: Data for: Hydrogen existence state of a hydrogenated amorphous carbon coating and its thermal stability
DOI: 10.25810/5dxz-xm93.16
title: Latin American Newspaper Coverage of Climate Change or Global Warming, 2004-2019 - July 2019

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/fj1y-8c74.7
title: International Wire Services Coverage of Climate Change or Global Warming, 2004-2019 - July 2019

description: The Media and Climate Change Observatory Data monitors 79 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/v575-3r57.9
title: Japanese Newspaper Coverage of Climate Change or Global Warming, 2000-2019 - July 2019

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.5281/zenodo.3365796
title: Kraken 2 manuscript experiment data

description: This dataset contains the data used in the strain-exclusion experiments in the Kraken 2 manuscript.
DOI: 10.25810/00zk-yj28.3
title: Norwegian Newspaper Coverage of Climate Change or Global Warming, 2004-2019 - July 2019

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/37f9-1j65.16
title: Spanish Newspaper Coverage of Climate Change or Global Warming, 2004-2019 - July 2019

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/8196-e820.16
title: United Kingdom Newspaper Coverage of Climate Change or Global Warming, 2004-2019 - July 2019

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/jgyv-zg57.16
title: New Zealand Newspaper Coverage of Climate Change or Global Warming, 2004-2019 - July 2019

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.6084/m9.figshare.23691201
title: Additional file 1 of High prevalence of colistin heteroresistance in specific species and lineages of Enterobacter cloacae complex derived from human clinical specimens

description: Additional file 1: Table S1. Sequences of primers used in this study. Table S2. Characteristics of ECC and K. aerogenes clinical isolates used in this study. Table S3. Characteristics of CST-heteroresisatnt ECC clinical isolates. Table S4. CST MICs of none-mcr, mcr-9-positive, and mcr-10-positive ECC isolates. Table S5. Comparison of CST susceptibility of phoPQ-, eptA-, and arnT-deleted mutants of different ECC species.
DOI: 10.6084/m9.figshare.23691201.v1
title: Additional file 1 of High prevalence of colistin heteroresistance in specific species and lineages of Enterobacter cloacae complex derived from human clinical specimens

description: Additional file 1: Table S1. Sequences of primers used in this study. Table S2. Characteristics of ECC and K. aerogenes clinical isolates used in this study. Table S3. Characteristics of CST-heteroresisatnt ECC clinical isolates. Table S4. CST MICs of none-mcr, mcr-9-positive, and mcr-10-positive ECC isolates. Table S5. Comparison of CST susceptibility of phoPQ-, eptA-, and arnT-deleted mutants of different ECC species.
DOI: 10.6084/m9.figshare.23691141
title: Dataset of phytoplankton primary productivity, FRRf, Chl-a in the Changjiang estuary, East China Sea

description: The file contains surface primary production rate, temperature, salinity, nutrients, Chla, FRRf data in ECS during summertime of 2019 and 2021.
DOI: 10.6084/m9.figshare.23691141.v1
title: Dataset of phytoplankton primary productivity, FRRf, Chl-a in the Changjiang estuary, East China Sea

description: The file contains surface primary production rate, temperature, salinity, nutrients, Chla, FRRf data in ECS during summertime of 2019 and 2021.
DOI: 10.25919/b5yk-p190
title: Parkes observations for project P885 semester 2023APRS_08

description: We request a continued modest monitoring cadence of once every 10 days for two radio magnetars, to track their rotation, flux density, and polarisation. 1E 1547.0-5408 has just suffered a 'hiccup' in radiative properties as well as in its rotation, and the near-term response to this event remains unclear. Swift J1818.0-1607 remains quite dynamic, and the unique UWL capabilities promise new opportunities to probe still mysterious radio emission mechanisms in magnetars. We will observe XTE J1810-197 and PSR J1622-4950, which has just ceased emission, less frequently. The overall request is 18 hours.
DOI: 10.6084/m9.figshare.23690901
title: Data file.csv

description: We distributed a self-administered questionnaire through WhatsApp, Facebook, Instagram, and LinkedIn to collect data from Sri Lankan users on those mentioned platforms. We received around 448 responses.
DOI: 10.5066/p90izuds
title: Data release of geochemistry and geochronology for Proterozoic rocks in southwestern Colorado and rocks from drill core from Colorado, North Dakota, Nevada, Wyoming, Montana, and Nebraska

description: This U.S. Geological Survey (USGS) data release provides whole rock major, minor, and trace element geochemical data, mineral chemistry, and monazite and xenotime geochronology for Proterozoic rocks in the Needle Mountains of southwestern Colorado and for Proterozoic rocks sampled from drill cores from Colorado, North Dakota, Nevada, Wyoming, Montana, and Nebraska. Samples from the Needle Mountains were collected in order to constrain the polyphase tectonic evolution of the area. Additionally, multi-scale compositional mapping, petrologic modeling and in-situ geochronology constrain the pressure-temperature-time paths from basement gneisses and quartzites. Drill core samples are part of a larger characterization of the age and geochemical character of basement terranes in the United States.
DOI: 10.5066/p9s73o5c
title: Stress transfer modeling of Great Basin, USA structural discontinuities; Data and MATLAB functions (ver. 1.1, June 2023)

description: This digital dataset contains the stress transfer modeling code (MATLAB functions)&amp;amp;nbsp;and folder tree needed to calculate stress transfer modeling on ten different common structural settings for hydrothermal systems in the Great Basin. Some of these functions were written or adapted from other published work. When this is the case the citation/location of the original code is noted in the comments. The folder tree also contains the input data needed to run the functions.&amp;amp;nbsp;
DOI: 10.5066/p996noes
title: Dust and sediment data from Great Salt Lake and the Wasatch Front, Utah, 2018-19

description: These are physical and geochemical (elemental, strontium isotope) data from dust and sediments collected from the Salt Lake Valley, Utah between 2018 and 2019. Data were collected by the U.S. Geological Survey Utah Water Science Center (West Valley City, Utah) to examine contributions of dust from the dry lakebed of Great Salt Lake, other regional playas, and anthropogenic sources to passive dust samplers deployed throughout the rapidly growing cities at the foot of the central Wasatch Mountains, referred to as the Wasatch Front. The samples were processed at the Utah Water Science Center and geochemical analysis was performed at the University of Utah's ICP-MS Metals and Strontium Isotope Facility (Salt Lake City, Utah). These data can be used to better understand the spatial variability of dust deposition to the Wasatch Front.
DOI: 10.5066/p91o03y7
title: Field-verified inventory of postfire hydrologic response for the 2020 CZU Lightning Complex, River, Camel, and Dolan Fires following a 26-29 January 2021 atmospheric river storm sequence

description: This data release is a field-verified inventory of postfire hydrologic response for the 2020 CZU (San Mateo–Santa Cruz Unit) Lightning Complex, River Fire, Camel Fire, and Dolan Fire following a 26-29 January 2021 atmospheric river storm sequence. Postfire hydrologic response types include a) no response, b) minor response, and c) major response. A “minor” response was deemed capable of impairing infrastructure functioning (e.g., deposition or erosion along a road that could be regraded by mechanized earth-moving equipment within a matter of hours) or causing minor bodily injury (e.g., abrasions, sprains, or broken bones). A “major” response was deemed capable of causing sustained infrastructure impairment (e.g., damage to roads requiring weeks or more of emergency repair efforts or residential structures made uninhabitable) or serious bodily injury (e.g., protracted disfigurement or death). The README.txt file describes the data fields for the “Inventory.csv” file. Fields with value “-9999” indicate that data are not available or do not exist.
DOI: 10.6084/m9.figshare.23691276
title: Expression counts of all genes including both NB and AB groups.

description: Expression counts of all genes of cell lines from NB and AD melanocytes using four different methods (the K4D, K4DT, SV40T, and E6/E7 methods).
DOI: 10.6084/m9.figshare.23691276.v1
title: Expression counts of all genes including both NB and AB groups.

description: Expression counts of all genes of cell lines from NB and AD melanocytes using four different methods (the K4D, K4DT, SV40T, and E6/E7 methods).
DOI: 10.5281/zenodo.8151598
title: Data on the fleas of house mice and ship rats in the Orongorongo Valley, New Zealand

description: Data on autopsies and fleas of individual rats and mice snap-trapped in 80 quarterly 3-day trapping sessions over 1971-1991 in the Orongorongo Valley, Wellington, New Zealand. The fleas are preserved as slides in the Pilgrim Collection of Te Papa Tongarewa Museum of New Zealand, Wellington. The data are analysed in a forthcoming paper by Fitzgerald, Efford and Karl. 'Autopsy data.csv' is the main spreadsheet. 'Data format.csv' defines columns and codes. The autopsy data are a subset of those reported by Fitzgerald, Efford<br> and Karl (2004) and Efford, Fitzgerald, Karl and Berben (2006), both<br> with respect to the sampling period (trapping continued after May 1991,<br> but rats and mice were not searched for fleas) and data columns<br> (some reproductive fields have been omitted). The autopsy data may be read from the csv file into R (R Core Team 2023)<br> with the statement: autopsyF &lt;- read.csv(file = 'Orongorongo fleas 1971-1991 Autopsy data.csv') The resulting dataframe has 31 columns and 3006 rows: names(autopsyF)<br> [1] "Autopsy" "Line" "Date" "Analysis.Year" "Session" <br> [6] "Day" "Season" "Trap" "Traptype" "Alive.dead" <br> [11] "Species" "Sex" "Age" "Weight" "TotLth" <br> [16] "TailLth" "Fleas" "LsegnisM" "LsegnisF" "LsegnisU" <br> [21] "Lsegnis" "NfascM" "NfascF" "NfascU" "Nfasc" <br> [26] "Vagina" "Lact" "Uterus" "EmbryosT" "ScarCond" <br> [31] "Testes" <br> <br> nrow(autopsyF)<br> [1] 3006 For completeness, the autopsy data include 64 hosts from these trapping sessions that were<br> not searched for fleas (coded as Fleas = 2). Quarterly indices of host density were tabulated by Fitzgerald et al. (2004; mice) and<br> Efford et al. (2006; rats). References Efford MG, Fitzgerald BM, Karl BJ, Berben PH. 2006. Population dynamics<br> of the ship rat <em>Rattus rattus</em> L. in the Orongorongo Valley, New Zealand.<br> New Zealand Journal of Zoology 33:273-297. Fitzgerald BM, Efford MG, Karl BJ. 2004. Breeding of house mice and the<br> mast seeding of southern beeches in the Orongorongo Valley, New Zealand.<br> New Zealand Journal of Zoology 31:167-184. Fitzgerald BM, Efford MG, Karl BJ. 2023. The fleas of house mice (<em>Mus musculus</em>)<br> and ship rats (<em>Rattus rattus</em>) in forest of the Orongorongo Valley, New Zealand.<br> For submission to New Zealand Journal of Zoology. R Core Team 2023. R: A Language and Environment for Statistical Computing.<br> R Foundation for Statistical Computing, Vienna, Austria.<br> https://www.R-project.org/
DOI: 10.5281/zenodo.8151597
title: Data on the fleas of house mice and ship rats in the Orongorongo Valley, New Zealand

description: Data on autopsies and fleas of individual rats and mice snap-trapped in 80 quarterly 3-day trapping sessions over 1971-1991 in the Orongorongo Valley, Wellington, New Zealand. The fleas are preserved as slides in the Pilgrim Collection of Te Papa Tongarewa Museum of New Zealand, Wellington. The data are analysed in a forthcoming paper by Fitzgerald, Efford and Karl. 'Autopsy data.csv' is the main spreadsheet. 'Data format.csv' defines columns and codes. The autopsy data are a subset of those reported by Fitzgerald, Efford<br> and Karl (2004) and Efford, Fitzgerald, Karl and Berben (2006), both<br> with respect to the sampling period (trapping continued after May 1991,<br> but rats and mice were not searched for fleas) and data columns<br> (some reproductive fields have been omitted). The autopsy data may be read from the csv file into R (R Core Team 2023)<br> with the statement: autopsyF &lt;- read.csv(file = 'Orongorongo fleas 1971-1991 Autopsy data.csv') The resulting dataframe has 31 columns and 3006 rows: names(autopsyF)<br> [1] "Autopsy" "Line" "Date" "Analysis.Year" "Session" <br> [6] "Day" "Season" "Trap" "Traptype" "Alive.dead" <br> [11] "Species" "Sex" "Age" "Weight" "TotLth" <br> [16] "TailLth" "Fleas" "LsegnisM" "LsegnisF" "LsegnisU" <br> [21] "Lsegnis" "NfascM" "NfascF" "NfascU" "Nfasc" <br> [26] "Vagina" "Lact" "Uterus" "EmbryosT" "ScarCond" <br> [31] "Testes" <br> <br> nrow(autopsyF)<br> [1] 3006 For completeness, the autopsy data include 64 hosts from these trapping sessions that were<br> not searched for fleas (coded as Fleas = 2). Quarterly indices of host density were tabulated by Fitzgerald et al. (2004; mice) and<br> Efford et al. (2006; rats). References Efford MG, Fitzgerald BM, Karl BJ, Berben PH. 2006. Population dynamics<br> of the ship rat <em>Rattus rattus</em> L. in the Orongorongo Valley, New Zealand.<br> New Zealand Journal of Zoology 33:273-297. Fitzgerald BM, Efford MG, Karl BJ. 2004. Breeding of house mice and the<br> mast seeding of southern beeches in the Orongorongo Valley, New Zealand.<br> New Zealand Journal of Zoology 31:167-184. Fitzgerald BM, Efford MG, Karl BJ. 2023. The fleas of house mice (<em>Mus musculus</em>)<br> and ship rats (<em>Rattus rattus</em>) in forest of the Orongorongo Valley, New Zealand.<br> For submission to New Zealand Journal of Zoology. R Core Team 2023. R: A Language and Environment for Statistical Computing.<br> R Foundation for Statistical Computing, Vienna, Austria.<br> https://www.R-project.org/
DOI: 10.21227/8fn7-gz90
title: A Industry 4.0 production line system and its Digital Twin under cyber attack

description: The real system in our experiment comprises four production stations: Pick and place, assembly, muscle compressing and sorting. These modular stations are controlled by Siemens PLC. This is the data gathered from a real manufacturing system and its Digital Twin data when under the denial of service attacks.To simulate a scenario of the cyber-attack, a Denial of service (DoS) attack is launched on Siemens PLC. This attack was aimed at creating delays in the system's response and increasing the cycle time of the PLC. Data was recorded when the system was running normally as well as under attack, and the dataset was stored in a CSV file. In the dataset, each row is marked as "Normal" when the system is running normally and as "Abnormal" when it is under attack.Each sample in Dataset A contains 62 data points, while Dataset B contains 58 data points. These data points represent sensor readings, actuator statuses, timing information, throughput time, and PLC parameters of the four stations, including the process of pick and place, loading, air pressing, controlling panels, sorting and so forth.These datasets were created with varying levels of information and fidelity. Compared with dataset A, dataset B contains additional information, specifically the throughput time of each station.
DOI: 10.15151/esrf-es-1118697254
title: Structural Biology of Macromolecules and Macromolecular complexes from India

description: Structural biology research groups located in India constitute the INDIA-BAG and will utilize MX & SAXS to study different biological macromolecules. The non-proprietary agreement signed between ESRF and the Department of Biotechnology (DBT) enables studies that provide fundamental mechanistic insight regarding different biological processes. A brief description of over 50 research groups is provided in the global summary and a summary of their research contributions involving data collected at ESRF is provided in the 2 year BAG report. The ESRF-India partnership is supported by a single grant provided to the RCB by the DBT. Please note that a report listing no. of shifts utilized, details of users and the research output from these visits has to be sent to the DBT to obtain release of funds to pay ESRF membership dues. Consequently, all the structural biologists from India are grouped in a single BAG to enable monitoring of progress to collect the required statistics.
DOI: 10.15151/esrf-es-1231815097
title: Structural Biology of Macromolecules and Macromolecular complexes from India

description: Structural biology research groups located in India constitute the INDIA-BAG and will utilize MX & SAXS to study different biological macromolecules. The non-proprietary agreement signed between ESRF and the Department of Biotechnology (DBT) enables studies that provide fundamental mechanistic insight regarding different biological processes. A brief description of over 50 research groups is provided in the global summary and a summary of their research contributions involving data collected at ESRF is provided in the 2 year BAG report. The ESRF-India partnership is supported by a single grant provided to the RCB by the DBT. Please note that a report listing no. of shifts utilized, details of users and the research output from these visits has to be sent to the DBT to obtain release of funds to pay ESRF membership dues. Consequently, all the structural biologists from India are grouped in a single BAG to enable monitoring of progress to collect the required statistics.
DOI: 10.15151/esrf-es-1221771569
title: Millisecond kinetics of AdhE spirosome conformational response to cofactors, substrates and anti-virulence drug candidates

description: We aim to capture the millisecond timescale response of large, multi-protein polymers (spirosomes) of the bacterial virulence factor AdhE in response to the addition of cofactors and substrates, and anti-virulence compounds being developed by us in collaboration with others. Understanding this response is key to discerning the molecular basis of substrate chanelling by AdhE, a key metabolic enzyme of pathogenic E. coli, and how the spirosomes are impacted by the anti-virulence compounds. TR-SAXS has the capability to explore the timeframe on which these processes occur and in the solution environment directly relevant to the biological and clinical system. This work also relies on the use of a novel X-ray transparent microfluidic stopped-flow chip we have developed in-house to minimise sample volumes and maximise the number of data we can generate. This work will constitute the first demonstration of the capability of this chip for a clinically relevant protein system.
DOI: 10.15151/esrf-es-1221035669
title: High-resolution X-ray scattering tensor tomography study of the age-related structural changes in the human femoral neck cortex

description: The loss of bone in osteoporosis is a critical challenge for ageing populations, as the corresponding reduction of bone strength leads to a significant increase in fracture risk. In spite of a major effort aimed at the clinical and economic management of the disease, a deeper understanding of the microstructural changes in bone tissue as a function of age is still missing. In the context of a series of multi-scale structural, mechanical and numerical studies, this experiment aims to acquire high-resolution small- and wide-angle X-ray scattering tensor tomography measurements of the human femoral cortex at a sub-lamellar level. Combining these measurements with micro-mechanical testing will allow us to investigate structure-property relations at the micro-scale, which will contribute to the development of a non-linear homogenized finite element model of the proximal femur, with the aim of improving the assessment of hip strength and fracture predictions in the ageing human hip.