cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34740/kaggle/dsv/5547294
title: AutoXGB
DOI: 10.5523/bris.3gbxomrwlwvkg2lbiwvn0klmn2
title: PdCrO2_DMFT

description: Dynamical Mean-Field Theory (DMFT) calculations of the electronic structure of PdCrO2
DOI: 10.48420/21975599
title: Supplementary Data chapter 4 Genotypic linkage disequilibrium locus by locus for "Target site (knockdown resistance) gene mutations and population genetic structure of Aedes aegypti in Saudi Arabia"

description: Methods The linkage disequilibrium (LD) tests were estimated among all possible pairs of the 17 loci in each population for a total of 13 populations using GENEPOP v4.2 (Rousset 2008) (Dememorisation: 10,000; batches: 100; and iterations per batch: 10,000). In Excel calculator v1.2 (Gaetano 2013), LD significance levels for multiple testing were corrected using the Holm-Bonferroni sequential correction to adjust the <em>p</em>-value to minimize type I error. <br> Results Only the pair of loci AG1 and AG3 showed significant linkage disequilibrium after the Holm-Bonferroni sequential correction, and were consistently correlated across all mosquito populations in Saudi Arabia. Although AG1 and AG3 showed linkage across the population in Saudi Arabia, these two loci were reported with no physical linkage in previous studies (Slotman et al. 2007, Rasheed et al. 2013). Furthermore, Brown et al. (2011), removed the two loci (AG1 and AG3) with no impact on the results (Brown et al. 2011). Interestingly, this significant linkage was also observed in Thailand but not Ugandan samples (Additional file 1: Table S4); thus, we decided to keep both loci.
DOI: 10.48420/21975599.v1
title: Supplementary Data chapter 4 Genotypic linkage disequilibrium locus by locus for "Target site (knockdown resistance) gene mutations and population genetic structure of Aedes aegypti in Saudi Arabia"

description: Methods The linkage disequilibrium (LD) tests were estimated among all possible pairs of the 17 loci in each population for a total of 13 populations using GENEPOP v4.2 (Rousset 2008) (Dememorisation: 10,000; batches: 100; and iterations per batch: 10,000). In Excel calculator v1.2 (Gaetano 2013), LD significance levels for multiple testing were corrected using the Holm-Bonferroni sequential correction to adjust the <em>p</em>-value to minimize type I error. <br> Results Only the pair of loci AG1 and AG3 showed significant linkage disequilibrium after the Holm-Bonferroni sequential correction, and were consistently correlated across all mosquito populations in Saudi Arabia. Although AG1 and AG3 showed linkage across the population in Saudi Arabia, these two loci were reported with no physical linkage in previous studies (Slotman et al. 2007, Rasheed et al. 2013). Furthermore, Brown et al. (2011), removed the two loci (AG1 and AG3) with no impact on the results (Brown et al. 2011). Interestingly, this significant linkage was also observed in Thailand but not Ugandan samples (Additional file 1: Table S4); thus, we decided to keep both loci.
DOI: 10.48420/21975605
title: Supplementary Data chapter 4 Raw microsatellites calls for "Target site (knockdown resistance) gene mutations and population genetic structure of Aedes aegypti in Saudi Arabia".

description: The microsatellite genotyping was performed by Eurofins Genomics (Germany). Samples that did not amplify in the multiplex were repeated in a single-plex reaction. From the 428 samples we sent for genotyping, fewer than 16 samples did not get a complete profile (~96.26 genotyping success). The resulting allele fragments peak sizes were identified, analysed, and scored using the GeneMapper software (Applied Biosystems) with internal size standard LIZ500.
DOI: 10.48420/21975605.v1
title: Supplementary Data chapter 4 Raw microsatellites calls for "Target site (knockdown resistance) gene mutations and population genetic structure of Aedes aegypti in Saudi Arabia".

description: The microsatellite genotyping was performed by Eurofins Genomics (Germany). Samples that did not amplify in the multiplex were repeated in a single-plex reaction. From the 428 samples we sent for genotyping, fewer than 16 samples did not get a complete profile (~96.26 genotyping success). The resulting allele fragments peak sizes were identified, analysed, and scored using the GeneMapper software (Applied Biosystems) with internal size standard LIZ500.
DOI: 10.5281/zenodo.7874890
title: SEER: Estimating the sampling size in performance models considering errors

description: Generating a performance model to optimize or to reason about variability-intensive systems is costly and the user never knows (unless she or he is a seer) when to stop sampling. The performance measurement can take from several seconds to several days, depending on the measurement and the noise, so it is very important to know if new measurements are profit. Here is where SEER can support users, by estimating the sampling size to generate performance models below a relative prediction error. There are three folders their files that can help you to start using SEER. The folder CODES include all the source code needed to use it. SEER has been validated with ten configurable systems. Folders Ground Truth and Results include the measurements done to validate SEER.
DOI: 10.5281/zenodo.7874889
title: SEER: Estimating the sampling size in performance models considering errors

description: Generating a performance model to optimize or to reason about variability-intensive systems is costly and the user never knows (unless she or he is a seer) when to stop sampling. The performance measurement can take from several seconds to several days, depending on the measurement and the noise, so it is very important to know if new measurements are profit. Here is where SEER can support users, by estimating the sampling size to generate performance models below a relative prediction error. There are three folders their files that can help you to start using SEER. The folder CODES include all the source code needed to use it. SEER has been validated with ten configurable systems. Folders Ground Truth and Results include the measurements done to validate SEER.
DOI: 10.6084/m9.figshare.22716727.v1
title: Simulation Data and Fitting Results of Online Q&A Community

description: Simulation Data and Fitting Results of Group Behavior Selections in Online Q&A Community Simulation Data was fitted by the Cuspfit package in R language.
DOI: 10.6084/m9.figshare.22716727
title: Simulation Data and Fitting Results of Online Q&A Community

description: Simulation Data and Fitting Results of Group Behavior Selections in Online Q&A Community Simulation Data was fitted by the Cuspfit package in R language.
DOI: 10.18712/nsd-nsd3073-1-v1
title: Investigation of the wheat value chain in Norway

description: The project is a master's thesis at the Norwegian University of Life Sciences (NMBU) which examined what actors in the wheat value chain consider to be obstacles and opportunities for the utilization of Norwegian wheat for food, in addition to how they experience communication and cooperation in the value chain.

Data for the project is interview data based on semi-structured interviews of actors in the value chain, from the plant breeders on one end to the grocery chains on the other. Seven themes were identified through a content analysis: driving forces, cultivation, consumer, infrastructure, grain access, quality requirements and collaboration.
DOI: 10.5517/ccdc.csd.cc2f4yzj
title: CCDC 2239098: Experimental Crystal Structure Determination

description: Related Article: Ye-Qing Du, Yuan Gao, Yi Zang, Jia Li, Xu-Wen Li, Yue-Wei Guo|2023|Phytochemistry|210|113671|doi:10.1016/j.phytochem.2023.113671
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.cc2f4z1m
title: CCDC 2239100: Experimental Crystal Structure Determination

description: Related Article: Nour El Beyrouti, Felix Houard, Marie Cordier, Elzbieta Trzop, Stéphane Rigaut, Boris Le Guennic, Kevin Bernot, Lucie Norel|2023|Chem.Commun.|59|5265|doi:10.1039/D3CC01037F
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: 10.18112/openneuro.ds004554.v1.0.2
title: Forced Picture Naming Task
DOI: 10.6084/m9.figshare.22716739
title: NeurIPS 2021 Benchmark dataset

description: Subset of the benchmark dataset published in Luecken et al. (2021). <br> <br>
DOI: 10.5281/zenodo.6047318
title: ExoTiC-LD_data

description: Data required for the ExoTiC-LD GitHub package.
DOI: 10.5281/zenodo.6052611
title: ExoTiC-LD_data

description: Data required for the ExoTiC-LD GitHub package. This file contains the 1D Kurucz stellar model grid and mu values, and the 3D Stagger-grid from Magic et al. (2015).
DOI: 10.5281/zenodo.6344946
title: ExoTiC-LD_data

description: Data required for the ExoTiC-LD GitHub package. This file contains the 1D Kurucz stellar model grid and mu values, and the 3D Stagger-grid from Magic et al. (2015). It also contains all of the instrument mode throughputs required to calculate the correct limb-darkening coefficients for the correct wavelength ranges.
description: {"references": ["Claret, A., A&A, (2000) https://ui.adsabs.harvard.edu/abs/2000A%26A...363.1081C/abstract", "Sing, D.K., A&A, (2010) https://ui.adsabs.harvard.edu/abs/2010A%26A...510A..21S/abstract", "Magic, Z., et al. A&A, (2015) https://ui.adsabs.harvard.edu/abs/2015A%26A...573A..90M/abstract", "Laginja, I., & Wakeford, H.R., JOSS, (2020) https://doi.org/10.21105/joss.02281"]}
DOI: 10.5281/zenodo.7436954
title: ExoTiC-LD_data_v3

description: Data required for the ExoTiC-LD GitHub package. Individual stellar model grids can be downloaded and used with the ExoTiC-LD package kurucz.zip : 1D Kurucz stellar model grid and mu values stagger.zip: 3D Stagger-grid from Magic et al. (2015) MPS stellar model grid from Kostogryz, Nadiia, 2022, "An extended MPS-ATLAS library of stellar model atmospheres and spectra", https://doi.org/10.17617/3.NJ56TR, Edmond, V2 Set 1 (this is the default for the ExoTiC-LD package) Set 2 You will also need to download the sensitivity.zip files which are the instrument mode throughputs required to calculate the correct limb-darkening coefficients for the correct wavelength ranges.
description: {"references": ["Claret, A., A&A, (2000) https://ui.adsabs.harvard.edu/abs/2000A%26A...363.1081C/abstract", "Sing, D.K., A&A, (2010) https://ui.adsabs.harvard.edu/abs/2010A%26A...510A..21S/abstract", "Magic, Z., et al. A&A, (2015) https://ui.adsabs.harvard.edu/abs/2015A%26A...573A..90M/abstract", "Laginja, I., & Wakeford, H.R., JOSS, (2020) https://doi.org/10.21105/joss.02281", "N. M. Kostogryz, et al., A&A (2022) https://doi.org/10.48550/arXiv.2206.06641"]}
DOI: 10.5281/zenodo.7871414
title: ExoTiC-LD_data_v3.1

description: Data required for the ExoTiC-LD GitHub package. Individual stellar model grids can be downloaded and used with the ExoTiC-LD package kurucz.zip : 1D Kurucz stellar model grid and mu values stagger.zip: 3D Stagger-grid from Magic et al. (2015) MPS stellar model grid from Kostogryz, Nadiia, 2022, "An extended MPS-ATLAS library of stellar model atmospheres and spectra", https://doi.org/10.17617/3.NJ56TR, Edmond, V2 Set 1 (this is the default for the ExoTiC-LD package) Set 2 You will also need to download the sensitivity.zip files which are the instrument mode throughputs required to calculate the correct limb-darkening coefficients for the correct wavelength ranges.
description: {"references": ["Claret, A., A&A, (2000) https://ui.adsabs.harvard.edu/abs/2000A%26A...363.1081C/abstract", "Sing, D.K., A&A, (2010) https://ui.adsabs.harvard.edu/abs/2010A%26A...510A..21S/abstract", "Magic, Z., et al. A&A, (2015) https://ui.adsabs.harvard.edu/abs/2015A%26A...573A..90M/abstract", "Laginja, I., & Wakeford, H.R., JOSS, (2020) https://doi.org/10.21105/joss.02281", "N. M. Kostogryz, et al., A&A (2022) https://doi.org/10.48550/arXiv.2206.06641"]}
DOI: 10.5281/zenodo.7874667
title: ExoTiC-LD_data_v3.1.1

description: Data required for the ExoTiC-LD GitHub package. Individual stellar model grids can be downloaded and used with the ExoTiC-LD package kurucz.zip : 1D Kurucz stellar model grid and mu values stagger.zip: 3D Stagger-grid from Magic et al. (2015) MPS stellar model grid from Kostogryz, Nadiia, 2022, "An extended MPS-ATLAS library of stellar model atmospheres and spectra", https://doi.org/10.17617/3.NJ56TR, Edmond, V2 Set 1 (this is the default for the ExoTiC-LD package) Set 2 You will also need to download the sensitivity.zip files which are the instrument mode throughputs required to calculate the correct limb-darkening coefficients for the correct wavelength ranges.
description: v3.1.1 contains the updated post commissioning sensitivity files for JWST
description: {"references": ["Claret, A., A&A, (2000) https://ui.adsabs.harvard.edu/abs/2000A%26A...363.1081C/abstract", "Sing, D.K., A&A, (2010) https://ui.adsabs.harvard.edu/abs/2010A%26A...510A..21S/abstract", "Magic, Z., et al. A&A, (2015) https://ui.adsabs.harvard.edu/abs/2015A%26A...573A..90M/abstract", "Laginja, I., & Wakeford, H.R., JOSS, (2020) https://doi.org/10.21105/joss.02281", "N. M. Kostogryz, et al., A&A (2022) https://doi.org/10.48550/arXiv.2206.06641"]}
DOI: 10.5281/zenodo.6047317
title: ExoTiC-LD_data_v3.1.2

description: Data required for the ExoTiC-LD GitHub package. Individual stellar model grids can be downloaded and used with the ExoTiC-LD package kurucz.zip : 1D Kurucz stellar model grid and mu values stagger.zip: 3D Stagger-grid from Magic et al. (2015) MPS stellar model grid from Kostogryz, Nadiia, 2022, "An extended MPS-ATLAS library of stellar model atmospheres and spectra", https://doi.org/10.17617/3.NJ56TR, Edmond, V2 Set 1 (this is the default for the ExoTiC-LD package) Set 2 You will also need to download the sensitivity.zip files which are the instrument mode throughputs required to calculate the correct limb-darkening coefficients for the correct wavelength ranges.
description: v3.1.2 contains the updated post commissioning sensitivity files for JWST
description: {"references": ["Claret, A., A&A, (2000) https://ui.adsabs.harvard.edu/abs/2000A%26A...363.1081C/abstract", "Sing, D.K., A&A, (2010) https://ui.adsabs.harvard.edu/abs/2010A%26A...510A..21S/abstract", "Magic, Z., et al. A&A, (2015) https://ui.adsabs.harvard.edu/abs/2015A%26A...573A..90M/abstract", "Laginja, I., & Wakeford, H.R., JOSS, (2020) https://doi.org/10.21105/joss.02281", "N. M. Kostogryz, et al., A&A (2022) https://doi.org/10.48550/arXiv.2206.06641"]}
DOI: 10.5281/zenodo.7874921
title: ExoTiC-LD_data_v3.1.2

description: Data required for the ExoTiC-LD GitHub package. Individual stellar model grids can be downloaded and used with the ExoTiC-LD package kurucz.zip : 1D Kurucz stellar model grid and mu values stagger.zip: 3D Stagger-grid from Magic et al. (2015) MPS stellar model grid from Kostogryz, Nadiia, 2022, "An extended MPS-ATLAS library of stellar model atmospheres and spectra", https://doi.org/10.17617/3.NJ56TR, Edmond, V2 Set 1 (this is the default for the ExoTiC-LD package) Set 2 You will also need to download the sensitivity.zip files which are the instrument mode throughputs required to calculate the correct limb-darkening coefficients for the correct wavelength ranges.
description: v3.1.2 contains the updated post commissioning sensitivity files for JWST
description: {"references": ["Claret, A., A&A, (2000) https://ui.adsabs.harvard.edu/abs/2000A%26A...363.1081C/abstract", "Sing, D.K., A&A, (2010) https://ui.adsabs.harvard.edu/abs/2010A%26A...510A..21S/abstract", "Magic, Z., et al. A&A, (2015) https://ui.adsabs.harvard.edu/abs/2015A%26A...573A..90M/abstract", "Laginja, I., & Wakeford, H.R., JOSS, (2020) https://doi.org/10.21105/joss.02281", "N. M. Kostogryz, et al., A&A (2022) https://doi.org/10.48550/arXiv.2206.06641"]}
DOI: 10.5281/zenodo.7641460
title: Micelle size screening - Magaining 2 simulation - 40 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7641459
title: Micelle size screening - Magaining 2 simulation - 40 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.6084/m9.figshare.22716736.v1
title: Spectroscopy of a mesospheric ghost

description: Dataset for generating figures 3 and 4 in paper titled "Spectroscopy of a mesospheric ghost", and figure 1 in supplementary information of the same paper.
DOI: 10.5281/zenodo.7641466
title: Micelle size screening - Magaining 2 simulation - 45 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7641465
title: Micelle size screening - Magaining 2 simulation - 45 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.48579/pro/puq99v/fwehof
title: shapefiles.zip

description: vector data (shapefiles)
DOI: 10.48579/pro/puq99v
title: Spectral signatures on the Bassies valley (Haut Vicdessos, Pyrenees, France) - 2010 campaign

description: Data set (summary sheets) and location map of spectro-radiometric surveys of 19 representative microplots, used as training samples for remote sensing land cover classifications.
DOI: 10.48579/pro/puq99v/7coqqi
title: summary_sheets.zip

description: summary sheets (PNG images)
DOI: 10.48579/pro/puq99v/82xmoi
title: spectral_sign_calluna_example_summary_sheet_06-62.png

description: Spectral signature of Calluna sp. - example (summary sheet)
DOI: 10.5281/zenodo.7669627
title: Micelle size screening - eYqjD simulation - 40 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7669626
title: Micelle size screening - eYqjD simulation - 40 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7669635
title: Micelle size screening - eYqjD simulation - 45 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7669634
title: Micelle size screening - eYqjD simulation - 45 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.12751/g-node.f83565
title: Massively parallel multi-electrode recordings of macaque motor cortex during an instructed delayed reach-to-grasp task

description: We provide two electrophysiological datasets recorded via a 10-by-10 multi-electrode array chronically implanted in the motor cortex of two macaque monkeys during an instructed delayed reach-to-grasp task. The datasets contain the continuous measure of extracellular potentials at each electrode sampled at 30 kHz, the local field potentials sampled at 1 kHz and the timing of the online and offline extracted spike times. It also includes the timing of several task and behavioral events recorded along the electrophysiological data. Finally, the datasets provide a complete set of metadata structured in a standardized format. These metadata allow easy access to detailed information about the datasets such as the settings of the recording hardware, the array specifications, the location of the implant in the motor cortex, information about the monkeys, or the offline spike sorting.
description: References:
     Brochier T, Zehl L, Hao Y, Duret M, Sprenger J, Denker M, Grün S, Riehle A (2018) Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task. Scientific Data 5:180055. https://dx.doi.org/10.1038/sdata.2018.55
     Zehl L, Jaillet F, Stoewer A, Grewe J, Sobolev A, Wachtler T, Brochier TG, Riehle A, Denker M, Grün S (2016). Handling Metadata in a Neurophysiology Laboratory. Frontiers in Neuroinformatics, 10, 26. https://dx.doi.org/10.3389/fninf.2016.00026
     Riehle A, Wirtssohn S, Grün S, Brochier T (2013). Mapping the spatio-temporal structure of motor cortical LFP and spiking activities during reach-to-grasp movements. Frontiers in Neural Circuits, 7, 48. https://dx.doi.org/10.3389/fncir.2013.00048
DOI: 10.5281/zenodo.1004711
title: Alexandria Library

description: The Alexandria library is as an open access quantum-chemical database <br>
of molecular optimized geometries, frequencies, thermochemistry, polarizability and molecular electric moments<br>
for organic and inorganic molecules. The name<br>
Alexandria highlights that we aim to collect all<br>
knowledge in the world, old and new, on molecular properties, just<br>
like the legendary library of Alexandria, since availability of data rapidly declines with time.This library will assist systematic development and training of empirical <br>
force fields for a broad range of molecules.
description: The Swedish research council is acknowledged for financial support to DvdS (grant 2013-5947) and for grants of computer time (SNIC2015-16-33, SNIC2016-34-44) through the High Performance Computing Center North in Umeå, Sweden.
DOI: 10.5291/ill-data.ltp-9-7
title: Structural investigation of soft interfaces under controlled interaction conditions: Development of sample environment and methodology
DOI: 10.5281/zenodo.7681407
title: Micelle size screening - yFis1 simulation - 45 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7681408
title: Micelle size screening - yFis1 simulation - 45 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7681410
title: Micelle size screening - yFis1 simulation - 40 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7681409
title: Micelle size screening - yFis1 simulation - 40 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.18112/openneuro.ds004554.v1.0.3
title: Forced Picture Naming Task
DOI: 10.5281/zenodo.7695160
title: Micelle size screening - Magaining 2 simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7695159
title: Micelle size screening - Magaining 2 simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7695174
title: Micelle size screening - eYqjD simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.