cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21258/1679200
title: Swiss national forest inventory - Result table No. 813034
DOI: 10.21258/1679201
title: Swiss national forest inventory - Result table No. 865967
DOI: 10.21258/1679202
title: Swiss national forest inventory - Result table No. 835367
DOI: 10.21258/1679203
title: Swiss national forest inventory - Result table No. 841351
DOI: 10.21258/1679204
title: Swiss national forest inventory - Result table No. 842411
DOI: 10.21258/1679194
title: Swiss national forest inventory - Result table No. 845828
DOI: 10.21258/1679195
title: Swiss national forest inventory - Result table No. 858073
DOI: 10.21258/1679196
title: Swiss national forest inventory - Result table No. 800878
DOI: 10.21258/1679197
title: Swiss national forest inventory - Result table No. 806426
DOI: 10.21258/1679198
title: Swiss national forest inventory - Result table No. 861616
DOI: 10.21258/1679189
title: Swiss national forest inventory - Result table No. 816595
DOI: 10.21258/1679190
title: Swiss national forest inventory - Result table No. 819442
DOI: 10.21258/1679191
title: Swiss national forest inventory - Result table No. 870552
DOI: 10.21258/1679192
title: Swiss national forest inventory - Result table No. 877908
DOI: 10.21258/1679193
title: Swiss national forest inventory - Result table No. 812300
DOI: 10.21258/1679183
title: Swiss national forest inventory - Result table No. 819692
DOI: 10.21258/1679184
title: Swiss national forest inventory - Result table No. 865390
DOI: 10.21258/1679185
title: Swiss national forest inventory - Result table No. 806195
DOI: 10.21258/1679186
title: Swiss national forest inventory - Result table No. 835156
DOI: 10.21258/1679187
title: Swiss national forest inventory - Result table No. 903008
DOI: 10.21258/1679188
title: Swiss national forest inventory - Result table No. 840315
DOI: 10.21258/1679178
title: Swiss national forest inventory - Result table No. 822361
DOI: 10.21258/1679179
title: Swiss national forest inventory - Result table No. 814336
DOI: 10.21258/1679180
title: Swiss national forest inventory - Result table No. 837317
DOI: 10.21258/1679181
title: Swiss national forest inventory - Result table No. 832424
DOI: 10.21258/1679182
title: Swiss national forest inventory - Result table No. 852535
DOI: 10.21258/1679172
title: Swiss national forest inventory - Result table No. 812839
DOI: 10.21258/1679173
title: Swiss national forest inventory - Result table No. 843780
DOI: 10.21258/1679174
title: Swiss national forest inventory - Result table No. 878401
DOI: 10.21258/1679175
title: Swiss national forest inventory - Result table No. 839162
DOI: 10.21258/1679176
title: Swiss national forest inventory - Result table No. 813787
DOI: 10.21258/1679177
title: Swiss national forest inventory - Result table No. 900832
DOI: 10.21258/1679168
title: Swiss national forest inventory - Result table No. 797635
DOI: 10.21258/1679169
title: Swiss national forest inventory - Result table No. 833641
DOI: 10.21258/1679170
title: Swiss national forest inventory - Result table No. 815549
DOI: 10.21258/1679171
title: Swiss national forest inventory - Result table No. 837773
DOI: 10.21258/1679163
title: Swiss national forest inventory - Result table No. 825631
DOI: 10.21258/1679164
title: Swiss national forest inventory - Result table No. 874586
DOI: 10.21258/1679165
title: Swiss national forest inventory - Result table No. 839619
DOI: 10.21258/1679166
title: Swiss national forest inventory - Result table No. 891114
DOI: 10.5517/ccdc.csd.cc2gmtzx
title: CCDC 2283180: Experimental Crystal Structure Determination

description: Related Article: Yu-Jie Liang, Liu Liu, Jun Yao, Min Deng, Quan-Qing Xu, Ai-Xin Zhu, Bo Huang|2023|CrystEngComm|25|5174|doi:10.1039/D3CE00787A
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.cc2ghgr6
title: CCDC 2278988: Experimental Crystal Structure Determination

description: Related Article: Anindita Goswami, Prantik Dutta, Kumar Biradha|2023|CrystEngComm|25|5092|doi:10.1039/D3CE00663H
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.cc2ghgs7
title: CCDC 2278989: Experimental Crystal Structure Determination

description: Related Article: Anindita Goswami, Prantik Dutta, Kumar Biradha|2023|CrystEngComm|25|5092|doi:10.1039/D3CE00663H
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: 10.25326/292
title: Stratospheric ozone data profiles using LIDAR (DIAL) measurements at OHP : year 2021

description: The stratospheric ozone profiles are obtained by LIDAR with the Differential Absorption (DIAL) method at the Observatoire de Haute Provence (OHP) station. The lidar measurements are performed in the frame of the Network for Detection of Atmospheric Composition Change (NDACC). They are funded by the Institut National des Sciences de l'Univers (INSU) of the Centre National de la Racherche Scientifique (CNRS) as part of the National Observing Service (Service National d'Observation) NDACC-France that is coordinated nationally by OVSQ (Observatoire de l’université de Versailles Saint-Quentin en Yvelines).
DOI: 10.25781/kaust-6dz5p
title: WinSyn: Jpeg and Raw data
DOI: 10.34740/kaggle/dsv/6493466
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.6579386
title: Transkript des Berichts "Von Klein-Welcke, vom Nov. 1770". In: Gemein-Nachrichten 1770 (GN.A.148), S. 418-428.

description: Transkript des Berichts "Von Klein-Welcke, vom Nov. 1770". In: <em>Gemein-Nachrichten</em> 1770 (GN.A.148), S. 418-428. Das Bilddigitalisat wird mit Genehmigung des Unitätsarchivs Herrnhut durch das Landesdigitalisierungsprogramm (LDP) Sachen auf sachsen.digital zur Verfügung gestellt. #MKNetwork
DOI: 10.5281/zenodo.6579367
title: Transkript des Berichts "Von Klein-Welcke, vom Nov. 1770". In: Gemein-Nachrichten 1770 (GN.A.148), S. 418-428.

description: Transkript des Berichts "Von Klein-Welcke, vom Nov. 1770". In: <em>Gemein-Nachrichten</em> 1770 (GN.A.148), S. 418-428. Das Bilddigitalisat wird mit Genehmigung des Unitätsarchivs Herrnhut durch das Landesdigitalisierungsprogramm (LDP) Sachen auf sachsen.digital zur Verfügung gestellt. #MKNetwork
DOI: 10.34740/kaggle/dsv/6493465
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.57745/5iezrh
title: Exp_indoor_fields_recent_hybrids_data-1.tab

description: Data for recent hybrids, platform and field
DOI: 10.57745/vcagi6
title: Exp_indoor_fields_recent_hybrids_variables.tab

description: Description of variables, with quadruplet entity characteristic method unit, and map to public ontologies
DOI: 10.5281/zenodo.8338456
title: Phantom measurement data for 'Complex B1+ mapping with Carr-Purcell spin echoes and its application to electrical properties tomography', Iyyakkunnel et al. (2022)

description: This dataset contains the phantom measurement data used in the published article Iyyakkunnel et al., 'Complex B1+ mapping with Carr-Purcell spin echoes and its application to electrical properties tomography', Magn Reson Med. 2022;87:1250–1260 (doi: 10.1002/mrm.29020). The acquisitions were made with a 3 T MRI system (Magnetom Prisma; Siemens Healthcare, Erlangen, Germany) using the body coil for transmission and the a 20-channel head and neck coil for reception. Phase images from multichannel coil data were reconstructed using the manufacturer’s “adaptive coil combine” method. Magnitude measurements for B1 reconstruction using actucal flip angle imaging (AFI) is also included. Phantom scans were also performed with a 1H/23Na transmit/receive birdcage coil (RAPID Biomedical, Rimpar, Germany) for the Supporting Information Figure S1. The data includes the magnitude and phase measurements for the suggested Carr Purcell spin echo sequence with 10 echoes (in dicom (.dcm) format). For further measurement details, please refer to the mentioned original article.
description: {"references": ["Iyyakkunnel, Santhosh et al., Condiguration-based electrical properties tomography, Magn Reson Med. 2022;87:1250\u20131260, doi: 10.1002/mrm.29020"]}
DOI: 10.5281/zenodo.8338455
title: Phantom measurement data for 'Complex B1+ mapping with Carr-Purcell spin echoes and its application to electrical properties tomography', Iyyakkunnel et al. (2022)

description: This dataset contains the phantom measurement data used in the published article Iyyakkunnel et al., 'Complex B1+ mapping with Carr-Purcell spin echoes and its application to electrical properties tomography', Magn Reson Med. 2022;87:1250–1260 (doi: 10.1002/mrm.29020). The acquisitions were made with a 3 T MRI system (Magnetom Prisma; Siemens Healthcare, Erlangen, Germany) using the body coil for transmission and the a 20-channel head and neck coil for reception. Phase images from multichannel coil data were reconstructed using the manufacturer’s “adaptive coil combine” method. Magnitude measurements for B1 reconstruction using actucal flip angle imaging (AFI) is also included. Phantom scans were also performed with a 1H/23Na transmit/receive birdcage coil (RAPID Biomedical, Rimpar, Germany) for the Supporting Information Figure S1. The data includes the magnitude and phase measurements for the suggested Carr Purcell spin echo sequence with 10 echoes (in dicom (.dcm) format). For further measurement details, please refer to the mentioned original article.
description: {"references": ["Iyyakkunnel, Santhosh et al., Condiguration-based electrical properties tomography, Magn Reson Med. 2022;87:1250\u20131260, doi: 10.1002/mrm.29020"]}
DOI: 10.5281/zenodo.8355476
title: Tissue-specific Regulatory Network from Badr's work

description: Mapping perturbed molecular circuits that underlie complex diseases remains a great challenge. We developed a comprehensive resource of 394 cell type- and tissue-specific gene regulatory networks for human, each specifying the genome-wide connectivity among transcription factors, enhancers, promoters and genes. Integration with 37 genome-wide association studies (GWASs) showed that disease-associated genetic variants--including variants that do not reach genome-wide significance--often perturb regulatory modules that are highly specific to disease-relevant cell types or tissues. Our resource opens the door to systematic analysis of regulatory programs across hundreds of human cell types and tissues (http://regulatorycircuits.org). hs_blood_network.rds : human blood related gene regulatory networks (R program data file) hs_pantissue_network.rds : human pan-tissue related gene regulatory networks (R program data file) mm_blood_network.rds : mouse blood related gene regulatory networks (R program data file) mm_pantissue_network.rds : mouse pan-tissue related gene regulatory networks (R program data file) PMID: <strong>26950747</strong> PMCID: PMC4967716 DOI: 10.1038/nmeth.3799
DOI: 10.5281/zenodo.8355475
title: Tissue-specific Regulatory Network from Badr's work

description: Mapping perturbed molecular circuits that underlie complex diseases remains a great challenge. We developed a comprehensive resource of 394 cell type- and tissue-specific gene regulatory networks for human, each specifying the genome-wide connectivity among transcription factors, enhancers, promoters and genes. Integration with 37 genome-wide association studies (GWASs) showed that disease-associated genetic variants--including variants that do not reach genome-wide significance--often perturb regulatory modules that are highly specific to disease-relevant cell types or tissues. Our resource opens the door to systematic analysis of regulatory programs across hundreds of human cell types and tissues (http://regulatorycircuits.org). hs_blood_network.rds : human blood related gene regulatory networks (R program data file) hs_pantissue_network.rds : human pan-tissue related gene regulatory networks (R program data file) mm_blood_network.rds : mouse blood related gene regulatory networks (R program data file) mm_pantissue_network.rds : mouse pan-tissue related gene regulatory networks (R program data file) PMID: <strong>26950747</strong> PMCID: PMC4967716 DOI: 10.1038/nmeth.3799
DOI: 10.6084/m9.figshare.20379663
title: PALEO-PGEM-Series: a spatial time series of the global climate over the last 5 million years (Plio-Pleistocene)

description: PALEO-PGEM-Series is a global spatiotemporal dataset of the climate over the last 5 million years, derived from the intermediate complexity atmosphere-ocean general circulation model PLASIM-GENIE using emulation and downscaling techniques (Holden et al. 2019). It consists of estimates of monthly temperature (in degrees Celsius), monthly precipitation (in millimeters), and 17 bioclimatic variables over the last 5 million years every 1,000 years at 1º x 1º spatial resolution.<br>We provide the mean and the standard deviation of the estimates across the 10 stochastic GCM emulation runs. We suggest that users take advantage of these uncertainty estimates by conducting sensitivity tests to assess how robust results derived using PALEO-PGEM-Series are in the face of emulation uncertainty.<br>Each .txt file contains 19,233 rows representing geographic grided cells and 5003 columns, the first two with coordinates (longitude and latitude) and the others with the estimates for each time slice, starting from 5,000,000 years and ending with the pre-industrial. Each column is named with “T” followed by a number representing the time in years divided by 1,000 (i.e., T5000 corresponds to time 5,000,000 years ago). These tables can easily be converted into spatial files (e.g., raster) and visualized and explored using GIS libraries. We also provide the data as netcdf raster files, which are included in the pastclim R package (<b>https://doi.org/10.1111/ecog.06481).</b><br>We provide an R script to derive the 17 bioclimatic variables from the monthly estimates (code adapted from the function <i>biovars</i> in R package <i>dismo</i>, Hijmans <i>et al.</i> 2021). These bioclimatic variables summarize central tendencies (e.g., annual means), seasonality (e.g., range of monthly means) and extreme conditions (e.g., maximum and minimum monthly means) of relevance for ecological and evolutionary studies. Mean diurnal range (BIO 2) and isothermality (BIO 3) cannot be derived from PALEO-PGEM-Series as they require diurnal cycles. Maximum (BIO 5) and minimum temperature (BIO 6) are modified versions of the original bioclimatic variables, as they are derived from monthly means and thus refer to the maximum and minimum monthly means of temperatures in the year. Consequently, the temperature annual range (BIO 7) is also with reference to monthly means.<br>
DOI: 10.6084/m9.figshare.20379663.v4
title: PALEO-PGEM-Series: a spatial time series of the global climate over the last 5 million years (Plio-Pleistocene)

description: PALEO-PGEM-Series is a global spatiotemporal dataset of the climate over the last 5 million years, derived from the intermediate complexity atmosphere-ocean general circulation model PLASIM-GENIE using emulation and downscaling techniques (Holden et al. 2019). It consists of estimates of monthly temperature (in degrees Celsius), monthly precipitation (in millimeters), and 17 bioclimatic variables over the last 5 million years every 1,000 years at 1º x 1º spatial resolution. We provide mean and the standard deviation of the estimates across the 10 stochastic GCM emulation runs. We suggest that users take advantage of these uncertainty estimates by conducting sensitivity tests to assess how robust results derived using PALEO-PGEM-Series are in the face of the emulation uncertainty. <br> Each .txt file contains 19,233 rows representing geographic grided cells and 5003 columns, the first two with coordinates (longitude and latitude) and the others with the estimates for each time slice, starting from 5,000,000 years and ending with the pre-industrial. Each column is named with “T” followed by a number representing the time in years divided by 1,000 (i.e., T5000 corresponds to time 5,000,000 years ago). These tables can easily be converted into spatial files (e.g., raster) and visualized and explored using GIS libraries. We also provide the data as netcdf raster files, which are included in the pastclim R package (<strong>https://doi.org/10.1111/ecog.06481).</strong> <br> We provide an R script to derive the 17 bioclimatic variables from the monthly estimates (code adapted from the function <em>biovars</em> in R package <em>dismo</em>, Hijmans <em>et al.</em> 2021). These bioclimatic variables summarize central tendencies (e.g., annual means), seasonality (e.g., range of monthly means) and extreme conditions (e.g., maximum and minimum monthly means) of relevance for ecological and evolutionary studies. Mean diurnal range (BIO 2) and isothermality (BIO 3) cannot be derived from PALEO-PGEM-Series as they require diurnal cycles. Maximum (BIO 5) and minimum temperature (BIO 6) are modified versions of the original bioclimatic variables, as they are derived from monthly means and thus refer to the maximum and minimum monthly means of temperatures in the year. Consequently, temperature annual range (BIO 7) is also with reference to monthly means. <br>
DOI: 10.25405/data.ncl.23717307
title: Cold shear instability USP Files

description: MATLAB data files containing USP computed for cold shear instability cases presented in "A new approach to understanding fluid mixing in process-study models of stratified fluids" study, including passive dye cases. <strong>ColdKH_dye1_USP_rho_t.mat: </strong>cold K-H dye 1 case USP with density vs temperature <strong>ColdKH_dye1_USP_t_KEv.mat:</strong> cold K-H dye 1 case USP with temperature vs transverse Kinetic Energy <strong>ColdKH_dye2_USP_rho_t.mat:</strong> cold K-H dye 2 case USP with density vs temperature <strong>ColdKH_dye2_USP_t_KEv.mat:</strong> cold K-H dye 2 case USP with temperature vs transverse Kinetic Energy <strong>ColdKH_USP_KE.mat</strong>: cold K-H case USP with density vs Kinetic Energy <strong>ColdKH_USP_KEv.mat:</strong> cold K-H case USP with density vs transverse Kinetic Energy <strong>ColdKH_USP_rho_t.mat: </strong>cold K-H case USP with density vs temperature <strong>ColdKH_USP_t_KEv.mat: </strong>cold K-H case USP with temperature vs transverse Kinetic Energy
DOI: 10.25405/data.ncl.23717307.v1
title: Cold shear instability USP Files

description: MATLAB data files containing USP computed for cold shear instability cases presented in "A new approach to understanding fluid mixing in process-study models of stratified fluids" study, including passive dye cases. <strong>ColdKH_dye1_USP_rho_t.mat: </strong>cold K-H dye 1 case USP with density vs temperature <strong>ColdKH_dye1_USP_t_KEv.mat:</strong> cold K-H dye 1 case USP with temperature vs transverse Kinetic Energy <strong>ColdKH_dye2_USP_rho_t.mat:</strong> cold K-H dye 2 case USP with density vs temperature <strong>ColdKH_dye2_USP_t_KEv.mat:</strong> cold K-H dye 2 case USP with temperature vs transverse Kinetic Energy <strong>ColdKH_USP_KE.mat</strong>: cold K-H case USP with density vs Kinetic Energy <strong>ColdKH_USP_KEv.mat:</strong> cold K-H case USP with density vs transverse Kinetic Energy <strong>ColdKH_USP_rho_t.mat: </strong>cold K-H case USP with density vs temperature <strong>ColdKH_USP_t_KEv.mat: </strong>cold K-H case USP with temperature vs transverse Kinetic Energy
DOI: 10.25405/data.ncl.23717367
title: Shoaling Internal Solitary Wave USP Files

description: MATLAB data files containing USP computed for shoaling internal solitary wave cases presented in "A new approach to understanding fluid mixing in process-study models of stratified fluids" study. Data for USP of each wave breaking example (Surging, Collapsing, Plunging and Fissioning) presented at 4 time slices identified within the MATLAB structure (and within the corresponding figures of the related paper).
DOI: 10.25405/data.ncl.23717367.v1
title: Shoaling Internal Solitary Wave USP Files

description: MATLAB data files containing USP computed for shoaling internal solitary wave cases presented in "A new approach to understanding fluid mixing in process-study models of stratified fluids" study. Data for USP of each wave breaking example (Surging, Collapsing, Plunging and Fissioning) presented at 4 time slices identified within the MATLAB structure (and within the corresponding figures of the related paper).
DOI: 10.6084/m9.figshare.24105480.v1
title: Supplementary Material for: Rare Case of Bilateral Orbital Cellulitis in An Adult, Caused by Enterococcus Faecalis

description: Orbital cellulitis is a serious life-threatening infection, typically in pediatric patients, and its bilateral presentation in adults is atypic. We present an unusual bilateral manifestation of orbital cellulitis and abscess, caused by Enterococci in an adult patient. E. faecalis is an extremely rare cause of orbital inflammation and we found three published case reports only, all of which are unilateral and seen in children. A 51-year-old male presented with one week history of pyrexia, painful proptosis, periorbital swelling and low vision of both eyes. He was diagnosed with bilateral orbital cellulitis and was treated with empiric antibiotic medication for 8 days, but symptoms persisted. MRI showed bilateral intra- and extraconal fluid-intensity collections. Microbiology was taken from the orbit and revealed Enterococcus faecalis invasion. Pus collections were drained for 1 week. Systemic and intraorbital antibiotics were administered. The patient recovered and vision returned to normal. This is a rare case of bilateral orbital cellulitis and abscesses with invasive E. faecalis infection. E. faecalis infection of the orbit is unusual and should be considered especially if patient does not respond to empiric antibiotic therapies.
DOI: 10.25405/data.ncl.23999697
title: DJL Data for Parameterisation

description: DJL data used to parameterise float motion based on input wave parameters as given in figure 6, eqn.6 of linked paper. Full details provided within README.md
DOI: 10.25405/data.ncl.23999697.v1
title: DJL Data for Parameterisation

description: DJL data used to parameterise float motion based on input wave parameters as given in figure 6, eqn.6 of linked paper. Full details provided within README.md
DOI: 10.25405/data.ncl.23580072
title: Experimental Parameters Index: Interactions between Internal Solitary Waves and Sea Ice

description: Experimental metadata and initial calculations of wave parameters for all experiments relating to this study.
DOI: 10.25405/data.ncl.23580072.v1
title: Experimental Parameters Index: Interactions between Internal Solitary Waves and Sea Ice

description: Experimental metadata and initial calculations of wave parameters for all experiments relating to this study.