cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17876/rave/dr.6/fields/20061116_0103m28
title: RAVE Field 20061116_0103m28

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061116_0222m17
title: RAVE Field 20061116_0222m17

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061116_0421m08
title: RAVE Field 20061116_0421m08

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061116_0531m21
title: RAVE Field 20061116_0531m21

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061116_0650m26
title: RAVE Field 20061116_0650m26

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061116_2331m25
title: RAVE Field 20061116_2331m25

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061117_0102m14
title: RAVE Field 20061117_0102m14

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061117_0235m26
title: RAVE Field 20061117_0235m26

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061117_0421m20
title: RAVE Field 20061117_0421m20

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061117_0545m31
title: RAVE Field 20061117_0545m31

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061117_0703m21
title: RAVE Field 20061117_0703m21

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061117_2329m00
title: RAVE Field 20061117_2329m00

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061118_0120m22
title: RAVE Field 20061118_0120m22

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061118_0243m16
title: RAVE Field 20061118_0243m16

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061118_0445m21
title: RAVE Field 20061118_0445m21

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061118_0645m52
title: RAVE Field 20061118_0645m52

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061118_2353m28
title: RAVE Field 20061118_2353m28

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061119_0127m27
title: RAVE Field 20061119_0127m27

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061119_0316m22
title: RAVE Field 20061119_0316m22

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061119_0510m22
title: RAVE Field 20061119_0510m22

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061119_0623m25
title: RAVE Field 20061119_0623m25

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061119_2355m23
title: RAVE Field 20061119_2355m23

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061120_0121m10
title: RAVE Field 20061120_0121m10

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061120_0307m46
title: RAVE Field 20061120_0307m46

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061120_0505m41
title: RAVE Field 20061120_0505m41

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061120_0640m21
title: RAVE Field 20061120_0640m21

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061120_2359m33
title: RAVE Field 20061120_2359m33

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061121_0015m26
title: RAVE Field 20061121_0015m26

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061121_0203m04
title: RAVE Field 20061121_0203m04

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061121_0356m07
title: RAVE Field 20061121_0356m07

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061121_0538m26
title: RAVE Field 20061121_0538m26

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061122_0411m34
title: RAVE Field 20061122_0411m34

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061122_0620m37
title: RAVE Field 20061122_0620m37

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061123_0014m37
title: RAVE Field 20061123_0014m37

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061123_0156m09
title: RAVE Field 20061123_0156m09

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061123_0408m29
title: RAVE Field 20061123_0408m29

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061123_0552m36
title: RAVE Field 20061123_0552m36

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061123_0710m48
title: RAVE Field 20061123_0710m48

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061124_0022m16
title: RAVE Field 20061124_0022m16

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061124_0212m30
title: RAVE Field 20061124_0212m30

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061124_0405m11
title: RAVE Field 20061124_0405m11

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061124_0558m41
title: RAVE Field 20061124_0558m41

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061124_0723m53
title: RAVE Field 20061124_0723m53

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061125_0020m05
title: RAVE Field 20061125_0020m05

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061125_0235m78
title: RAVE Field 20061125_0235m78

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061125_0321m37
title: RAVE Field 20061125_0321m37

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061125_0452m26
title: RAVE Field 20061125_0452m26

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061125_0655m57
title: RAVE Field 20061125_0655m57

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061126_0044m60
title: RAVE Field 20061126_0044m60

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061126_0246m66
title: RAVE Field 20061126_0246m66

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061126_0516m27
title: RAVE Field 20061126_0516m27

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061126_0707m62
title: RAVE Field 20061126_0707m62

description: A field from the RAVE survey
DOI: 10.17876/rave/dr.6/fields/20061128_0101m34
title: RAVE Field 20061128_0101m34

description: A field from the RAVE survey
DOI: 10.57745/xvyqjy
title: README.md

description: :unav
DOI: 10.22008/fk2/5vdecr/a6ppmx
title: 171G_Reflectance_measurements.xlsx

description: :unav
DOI: 10.22008/fk2/5vdecr/lbpkzh
title: 171G_pyrolysis_raw.xlsx

description: :unav
DOI: 10.22008/fk2/5vdecr
title: Dataset for "From land to sea: provenance, composition, and preservation of organic matter in a marine sediment record from the North-East Greenland shelf spanning the Younger Dryas-Holocene

description: This dataset contains pyrolisis data from 30 sediment core samples and reflectance measurements on 6 discrete samples, both from sediment core DA17-NG-st.14-171G.
DOI: 10.5281/zenodo.10184390
title: DownloadData used for the Bibliometric Analysis_ML in Pest Control
DOI: 10.5281/zenodo.10184391
title: DownloadData used for the Bibliometric Analysis_ML in Pest Control
DOI: 10.6084/m9.figshare.24608676
title: Nicaragua Limites Territoriales y Administrativos Shapes

description: Nicaragua - Subnational Administrative BoundariesNicaragua - Subnational Administrative Boundaries - Humanitarian Data Exchange (humdata.org)Nicaragua administrative level 0 (country), 1 (department or autonomous region, departamento o región autónoma), and 2 (municipality, municipio) boundaries polygonsVetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.These boundaries are suitable for database or GIS linkage to the Nicaragua - Subnational Population Statistics tables.
DOI: 10.6084/m9.figshare.24608676.v1
title: Nicaragua Límites Territoriales y Administrativos Shapes

description: Nicaragua - Subnational Administrative BoundariesNicaragua - Subnational Administrative Boundaries - Humanitarian Data Exchange (humdata.org)Nicaragua administrative level 0 (country), 1 (department or autonomous region, departamento o región autónoma), and 2 (municipality, municipio) boundaries polygonsVetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.These boundaries are suitable for database or GIS linkage to the Nicaragua - Subnational Population Statistics tables.
DOI: 10.5281/zenodo.4772469
title: Dataset for "Perovskite Quantum Dots for Super-Resolution Optical Microscopy: Where Strong Photoluminescence Blinking Matters"

description: In this dataset, we report raw and processed data of the article (<strong>open access</strong>): Feld, L. G., Shynkarenko, Y., Krieg, F., Rainò, G., Kovalenko, M. V., Perovskite Quantum Dots for Super-Resolution Optical Microscopy: Where Strong Photoluminescence Blinking Matters. <em>Adv. Optical Mater.</em> 2021, 2100620. https://doi.org/10.1002/adom.202100620 For each figure from main text and supporting information, we created a folder with the corresponding raw and processed data that is required to reproduce the figures. Please find descriptions of the files in the folder in the corresponding README.txt files.
description: {"references": ["Feld, L. G.,\u00a0Shynkarenko, Y.,\u00a0Krieg, F.,\u00a0Rain\u00f2, G.,\u00a0Kovalenko, M. V.,\u00a0Perovskite Quantum Dots for Super-Resolution Optical Microscopy: Where Strong Photoluminescence Blinking Matters.\u00a0Adv. Optical Mater.\u00a02021, 2100620.\u00a0https://doi.org/10.1002/adom.202100620"]}
DOI: 10.6084/m9.figshare.24609147
title: Effects of <i>Meloidogyne enterolobii</i> and <i>Meloidogyne javanica</i> initial population density (Pi) on potato cultivars’ plant height (PH), stem diameter (SD), chlorophyll content (CC), fresh weight (FW), dry weight (DW), tuber number (TN) and tuber weight (TW) at 56 days after inoculation under net house conditions.

description: Potato (<i>Solanum tuberosum</i> L.) is a well-known food crop that is regarded as an important component in the worldwide battle against hunger and malnutrition. Root-knot nematodes (RKN), <i>Meloidogyne</i> species, are a serious limitation in the potato industry. Potato, being a tuberous crop, yield reduction is mainly due to tuber quality and quantity. In order to evaluate the response of five commercial potato cultivars, <i>viz</i>, ‘Buffelspoort 1’, ‘Hertha’, ‘Larnoma’, ‘Mnandi’ and ‘Up-to-date’ to two RKN species, <i>viz</i>, <i>M. enterolobii</i> and <i>M. javanica</i>; pot experiments were conducted under net house conditions. Ten separate experiments, each with treatments: 0, 500, 1500, 2500 and 3500 eggs + second-stage juveniles (J2), were arranged in a randomized complete block design (RCBD) with five replicates. Fifty-six days after inoculation, nematode effect on plant yield was evaluated. Potato tubers were assessed for root galls and nematodes reproductive factor (RF) was computed. There were significant differences amongst treatments on the following potato growth parameters: plant height, stem diameter, chlorophyll content, number of tubers and tuber weight in both <i>M. enterolobii</i> and <i>M. javanica</i> (P ≤ 0.05). The RF was above unity (one) in all potato cultivars for both <i>M. enterolobii</i> and <i>M. javanica</i>; with <i>M. enterolobii</i> showing more aggressiveness compared to <i>M. javanica</i>. Further, cultivars ‘Buffelspoort 1’ and ‘Hertha’ showed the highest susceptibility, whilst cultivar ‘Mnandi’ showed the least susceptibility. Infection of potato cultivars by the nematodes had severe effects on growth parameters of all the cultivars. Results suggested that all five commercial potato cultivars were susceptible to <i>M. enterolobii</i> and <i>M. javanica</i>. Thus, there is an urgent need for RKN management intervention in the aforementioned cultivars.
DOI: 10.6084/m9.figshare.24609147.v2
title: Effects of <i>Meloidogyne enterolobii</i> and <i>Meloidogyne javanica</i> initial population density (Pi) on potato cultivars’ plant height (PH), stem diameter (SD), chlorophyll content (CC), fresh weight (FW), dry weight (DW), tuber number (TN) and tuber weight (TW) at 56 days after inoculation under net house conditions.

description: Potato (<i>Solanum tuberosum</i> L.) is a well-known food crop that is regarded as an important component in the worldwide battle against hunger and malnutrition. Root-knot nematodes (RKN), <i>Meloidogyne</i> species, are a serious limitation in the potato industry. Potato, being a tuberous crop, yield reduction is mainly due to tuber quality and quantity. In order to evaluate the response of five commercial potato cultivars, <i>viz</i>, ‘Buffelspoort 1’, ‘Hertha’, ‘Larnoma’, ‘Mnandi’ and ‘Up-to-date’ to two RKN species, <i>viz</i>, <i>M. enterolobii</i> and <i>M. javanica</i>; pot experiments were conducted under net house conditions. Ten separate experiments, each with treatments: 0, 500, 1500, 2500 and 3500 eggs + second-stage juveniles (J2), were arranged in a randomized complete block design (RCBD) with five replicates. Fifty-six days after inoculation, nematode effect on plant yield was evaluated. Potato tubers were assessed for root galls and nematodes reproductive factor (RF) was computed. There were significant differences amongst treatments on the following potato growth parameters: plant height, stem diameter, chlorophyll content, number of tubers and tuber weight in both <i>M. enterolobii</i> and <i>M. javanica</i> (P ≤ 0.05). The RF was above unity (one) in all potato cultivars for both <i>M. enterolobii</i> and <i>M. javanica</i>; with <i>M. enterolobii</i> showing more aggressiveness compared to <i>M. javanica</i>. Further, cultivars ‘Buffelspoort 1’ and ‘Hertha’ showed the highest susceptibility, whilst cultivar ‘Mnandi’ showed the least susceptibility. Infection of potato cultivars by the nematodes had severe effects on growth parameters of all the cultivars. Results suggested that all five commercial potato cultivars were susceptible to <i>M. enterolobii</i> and <i>M. javanica</i>. Thus, there is an urgent need for RKN management intervention in the aforementioned cultivars.
DOI: 10.5517/ccdc.csd.cc282nhj
title: CCDC 2087927: Experimental Crystal Structure Determination

description: Related Article: K.K. Jha, B. Gruza, M.L. Chodkiewicz, C. Jelsch, P.M. Dominiak|2021|J.Appl.Crystallogr.|54|1234|doi:10.1107/S160057672100580X
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.cc282njk
title: CCDC 2087928: Experimental Crystal Structure Determination

description: Related Article: K.K. Jha, B. Gruza, M.L. Chodkiewicz, C. Jelsch, P.M. Dominiak|2021|J.Appl.Crystallogr.|54|1234|doi:10.1107/S160057672100580X
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: 10.5285/a49db9b4-a44e-4a5d-9fd7-d5021bdfc770
title: MFIX simulation input files and results of simulation of fragmentation-induced fluidization, and laboratory analyses of volcanic pyroclastic density current material

description: MFIX (Multiphase Flow with Interphase eXchanges) simulation input files and results of simulation of fragmentation-induced fluidization, and laboratory analyses of volcanic pyroclastic density current material. The data consists of: 
1) the Fortran90 input files for the MFIX (Multiphase Flow with Interphase eXchanges) TFM simulation runs
2) the postprocessed MFIX results from our simulations present within Excel sheets 
3) laboratory results on the particle shape, size distribution and porosity of the volcanic granular mixtures, presented within Excel sheets. 
The dataset presented was gathered to investigate the role of compaction, resulting from particle fragmentation, within volcanic granular flows known as pyroclastic density currents. The presented results were obtained from a combination of laboratory analyses and numerical modelling, using Computational Fluid Dynamics. In the laboratory, characterization of the particle size distributions and shape of volcanic grains was undertaken to understand their packing properties. Using the Two-Fluid Model (TFM), an Eulerian-Eulerian method, I was able to simulate the effect of particle breakage on natural scale volcanic mixtures. This model supports a broad range of capabilities for dense multiphase flow. The code was used to investigate the role of particle breakage in pyroclastic density currents, which alters the maximum packing of the granular mixture and ultimately the concentration of the flow during transport. Because the solid phase is immersed in air, the code allowed me to simulate the self-fluidization of the volcanic mixture and the effect on its flowability. 
These simulations enable me to propose a new process that can play a large role in the occurrence of long runout deadly pyroclastic density currents: Fragmentation-Induced Fluidization. 
The laboratory work was conducted at the University of Oregon (USA) while the numerical work was completed by running the simulations on the UKRI ARCHER2 HPC and the Talapas Cluster from the University of Oregon (US). The data processing was ongoing from August 2021 to December 2021 (Lab analyses) and February 2022 to August 2022 (HPC work). 
The MFIX simulation results have been post-processed using ParaView open-source software but can be reproduced by the user using the MFIX custom-changed subroutines and input files contained within the dataset. 
The data was collected to test the hypothesis that compaction, and subsequent self-fluidization is key to the long-runout of pyroclastic density currents. Specialized audience that work on granular media and volcanic flows. The MFIX code that is modified from the core code from the Department of Energy (DOE) is all present. 
The missing core code can be downloaded from the DOE department https://mfix.netl.doe.gov/. All the experimental data from lab experiments are presented.
DOI: 10.5517/ccdc.csd.cc282nkl
title: CCDC 2087929: Experimental Crystal Structure Determination

description: Related Article: K.K. Jha, B. Gruza, M.L. Chodkiewicz, C. Jelsch, P.M. Dominiak|2021|J.Appl.Crystallogr.|54|1234|doi:10.1107/S160057672100580X
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.cc282nlm
title: CCDC 2087930: Experimental Crystal Structure Determination

description: Related Article: K.K. Jha, B. Gruza, M.L. Chodkiewicz, C. Jelsch, P.M. Dominiak|2021|J.Appl.Crystallogr.|54|1234|doi:10.1107/S160057672100580X
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.cc282nmn
title: CCDC 2087931: Experimental Crystal Structure Determination

description: Related Article: K.K. Jha, B. Gruza, M.L. Chodkiewicz, C. Jelsch, P.M. Dominiak|2021|J.Appl.Crystallogr.|54|1234|doi:10.1107/S160057672100580X
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: 10.6084/m9.figshare.24609111
title: Head and Neck Cancer–Immune Cell Co-culture Model: Protein-protein interactions

description: Protein-protein interaction done using samples from 3D co-culture models
DOI: 10.5281/zenodo.10184585
title: MIRTEMIR SHE'RIYATI
DOI: 10.5281/zenodo.10184586
title: MIRTEMIR SHE'RIYATI
DOI: 10.18712/nsd-nsd2478-v8
title: Norwegian Citizen Panel Round 8, 2017

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 8, 20217 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd2479-v8
title: Norwegian Citizen Panel Round 9, 2017

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 9, 2017 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.