cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5742717
title: MALDI-TOF spectra of bovine, caprine and ovine milk and their mixtures

description: In this dataset we provide MALDI-TOF spectra of bovine milk in caprine and ovine milk. The dataset contains normalized spectra of pure milk samples and their mixtures. <strong>Different level of adulteration (0.5%, 1%, 5%, 10%, 20%, 40%, 60%, 80%)</strong> were analyzed throughout the lactation period of goat and sheep. Two different ranges of peptide-protein spectra <strong>(500–4000 Da; 4–20 kDa)</strong> were used. Exported spectra are in TXT files (<em>m/z</em> and intensity) for processing in other software (ex. mMass). Acquisition methods are included. MALDI-TOF MS analysis was performed using an Autoflex Speed (Bruker Daltonics, Germany) equipped with a SmartBeam<sup>TM</sup> II laser (355 nm) and flexControl software (version 3.4 Build 135, Bruker Daltonics, Germany). The dataset is a part of Supplementary file for the manuscript: <em><strong>Evaluation of MALDI‐TOF MS technology in small ruminants’ milk adulteration using raw bovine milk</strong></em> by L. Rysova, P. Cejnar, O. Hanus, V. Legarova, J. Havlik, H. Nejeschlebova, I. Nemeckova, R. Jedelska, M. Bozik, submitted to <em>Journal of Dairy Science</em> (Manuscript ID JDS.2021-21396) on 08-Oct-2021.
description: The authors thank the Ministry of Agriculture of the Czech Republic (grant NAZV QK1920222 in the program ZEMĚ) for the financial support and METROFOOD‑CZ research infrastructure (MEYS Grant No: LM2018100) for access to its facilities. P.C. acknowledges support by the Ministry of Education, Youth and Sports of the Czech Republic (grant LTAIN19007 Development of Advanced Computational Algorithms for Evaluating Post-surgery Rehabilitation) for data analysis.
DOI: 10.5281/zenodo.6351634
title: Data: Central European forest-steppe: an ecosystem shaped by climate, topography and disturbances

description: Supplementary material of Chytrý et al. (2022): Central European forest-steppe: an ecosystem shaped by climate, topography and disturbances. Journal of Biogeography. <strong>Appendix S1. Location of the study sites.</strong> <strong>Appendix S2. Characteristics of the study sites.</strong> To explore the interactive effect of macroclimate and topography on the forest-steppe distribution, we selected 108 Central European forest-steppe sites formed on various substrates and under various macroclimates. The key criterium for selection was the presence of relatively well-preserved (near-)natural steppe patches with relict steppe species. Most of the sites were selected based on the empirical knowledge of authors, and some were selected based on geobotanical literature (sources indicated in Appendix S2). Sites obtained from the literature and with no coordinates in the original source were georeferenced with the help of aerial photographs (maps.google.cz) and outdoor maps (mapy.cz; openstreetmap.org). We mostly set the coordinates to the best-developed steppe patch at each site. Some lowland sites with particularly low topographic heterogeneity (especially flatland loess steppes in south-eastern Hungary) were georeferenced with lower precision because the steppe patches were not easily identifiable from aerial photographs.
DOI: 10.5281/zenodo.6351633
title: Data: Central European forest-steppe: an ecosystem shaped by climate, topography and disturbances

description: Supplementary material of Chytrý et al. (2022): Central European forest-steppe: an ecosystem shaped by climate, topography and disturbances. Journal of Biogeography. <strong>Appendix S1. Location of the study sites.</strong> <strong>Appendix S2. Characteristics of the study sites.</strong> To explore the interactive effect of macroclimate and topography on the forest-steppe distribution, we selected 108 Central European forest-steppe sites formed on various substrates and under various macroclimates. The key criterium for selection was the presence of relatively well-preserved (near-)natural steppe patches with relict steppe species. Most of the sites were selected based on the empirical knowledge of authors, and some were selected based on geobotanical literature (sources indicated in Appendix S2). Sites obtained from the literature and with no coordinates in the original source were georeferenced with the help of aerial photographs (maps.google.cz) and outdoor maps (mapy.cz; openstreetmap.org). We mostly set the coordinates to the best-developed steppe patch at each site. Some lowland sites with particularly low topographic heterogeneity (especially flatland loess steppes in south-eastern Hungary) were georeferenced with lower precision because the steppe patches were not easily identifiable from aerial photographs.
DOI: 10.5281/zenodo.6351667
title: Biovolumes data of the phytoplankton communities in mesocosm experiments

description: To test the short-term response of the phytoplankton community of an African lake, Lagoon Aghien (Ivory Coast), to the addition of nutrients (phosphorus and nitrogen, alone or in combination) and Nile tilapia, we implemented an <em>in situ</em> mesocosm experiment in two stations of this lagoon. The composition of the phytoplankton communities in these mesocosms was estimated at Day 0, Day 3 and Day 7 and the biovolume values of each genus were reported in the table.
DOI: 10.5281/zenodo.6351666
title: Biovolumes data of the phytoplankton communities in mesocosm experiments

description: To test the short-term response of the phytoplankton community of an African lake, Lagoon Aghien (Ivory Coast), to the addition of nutrients (phosphorus and nitrogen, alone or in combination) and Nile tilapia, we implemented an <em>in situ</em> mesocosm experiment in two stations of this lagoon. The composition of the phytoplankton communities in these mesocosms was estimated at Day 0, Day 3 and Day 7 and the biovolume values of each genus were reported in the table.
DOI: 10.5281/zenodo.6346394
title: Data from PISM-LakeCC: Implementing an adaptive proglacial lake boundary in an ice sheet model

description: In our study, we describe the implementation of an adaptive proglacial lake boundary in the Parallel Ice Sheet Model (PISM). The model was tested by applying it to the glacial retreat of the North American ice sheets after the LGM. This dataset contains selected timeslices and variables of the model output for our three main experiments (LAKE, CTRL and DEF). More details about the experiments can be found in our study: Hinck, S., Gowan, E. J., Zhang, X., and Lohmann, G.: PISM-LakeCC: Implementing an adaptive proglacial lake boundary in an ice sheet model, The Cryosphere, 16, 941–965, https://doi.org/10.5194/tc-16-941-2022, 2022.
description: {"references": ["Hinck, S., Gowan, E. J., Zhang, X., and Lohmann, G.: PISM-LakeCC: Implementing an adaptive proglacial lake boundary in an ice sheet model, The Cryosphere, 16, 941\u2013965, https://doi.org/10.5194/tc-16-941-2022, 2022."]}
DOI: 10.6084/m9.figshare.12630335
title: Mapping dataset of dissolved oxygen and carbonate system comparing seasonal subsurface deoxygenation and acidification in the Yellow Sea and northern East China Sea in 2017-2018

description: Seven field surveys were conducted on Chinese side of the Yellow Sea and the northern East China Sea during 2017‒2018 (Table S1), spanning a wet summer (July‒August 2018) and a dry winter (December 2017‒January 2018), as well as those transitional seasons of spring (March‒May 2018) and autumn (October‒November 2017 and October‒November 2018). Water samples were collected at two to seven different depths (including sea surface and the bottom water) using 10 or 12 Niskin bottles, which were mounted with Conductivity-Temperature-Depth/Pressure (CTD) recorders. The ancillary data of in situ temperature (after the International Temperature Scale of 1990) and salinity (after the Practical Salinity Scale of 1978) were obtained primarily using the calibrated CTD recorders (SBE-19 plus in our October‒November 2017 and May 2018 cruises, and SBE-911 plus during the other cruises, Sea Bird Co., USA). During the summertime estuarine survey conducted in July 2018, salinity values of discrete samples were also measured using a calibrated WTW’s TetrCon<sup>®</sup>925 probe.Sampling surveys were separately supported by the National Natural Science Foundation of China (via Ship-time Sharing projects during the Open Research Cruises conducted in the Bohai and Yellow Seas in 2017 and 2018, and in the Changjiang Estuary in 2018), the Yellow Sea Fisheries Research Institute of Chinese Academy of Fishery Sciences, and the First Institute of Oceanography, Ministry of Natural Resources, China.<br>
DOI: 10.5281/zenodo.6346393
title: Data from PISM-LakeCC: Implementing an adaptive proglacial lake boundary in an ice sheet model

description: In our study, we describe the implementation of an adaptive proglacial lake boundary in the Parallel Ice Sheet Model (PISM). The model was tested by applying it to the glacial retreat of the North American ice sheets after the LGM. This dataset contains selected timeslices and variables of the model output for our three main experiments (LAKE, CTRL and DEF). More details about the experiments can be found in our study: Hinck, S., Gowan, E. J., Zhang, X., and Lohmann, G.: PISM-LakeCC: Implementing an adaptive proglacial lake boundary in an ice sheet model, The Cryosphere, 16, 941–965, https://doi.org/10.5194/tc-16-941-2022, 2022.
description: {"references": ["Hinck, S., Gowan, E. J., Zhang, X., and Lohmann, G.: PISM-LakeCC: Implementing an adaptive proglacial lake boundary in an ice sheet model, The Cryosphere, 16, 941\u2013965, https://doi.org/10.5194/tc-16-941-2022, 2022."]}
DOI: 10.6084/m9.figshare.12630335.v1
title: Mapping dataset of dissolved oxygen and carbonate system comparing seasonal subsurface deoxygenation and acidification in the Yellow Sea and northern East China Sea in 2017-2018

description: Seven field surveys were conducted on Chinese side of the Yellow Sea and the northern East China Sea during 2017‒2018 (Table S1), spanning a wet summer (July‒August 2018) and a dry winter (December 2017‒January 2018), as well as those transitional seasons of spring (March‒May 2018) and autumn (October‒November 2017 and October‒November 2018). Water samples were collected at two to seven different depths (including sea surface and the bottom water) using 10 or 12 Niskin bottles, which were mounted with Conductivity-Temperature-Depth/Pressure (CTD) recorders. The ancillary data of in situ temperature (after the International Temperature Scale of 1990) and salinity (after the Practical Salinity Scale of 1978) were obtained primarily using the calibrated CTD recorders (SBE-19 plus in our October‒November 2017 and May 2018 cruises, and SBE-911 plus during the other cruises, Sea Bird Co., USA). During the summertime estuarine survey conducted in July 2018, salinity values of discrete samples were also measured using a calibrated WTW’s TetrCon<sup>®</sup>925 probe.Sampling surveys were separately supported by the National Natural Science Foundation of China (via Ship-time Sharing projects during the Open Research Cruises conducted in the Bohai and Yellow Seas in 2017 and 2018, and in the Changjiang Estuary in 2018), the Yellow Sea Fisheries Research Institute of Chinese Academy of Fishery Sciences, and the First Institute of Oceanography, Ministry of Natural Resources, China.<br>
DOI: 10.6084/m9.figshare.19354313
title: Psychological Profiles of South African Smallholder Farmers - Datasets

description: These two datasets support the study examining psychological profiles of smallholder beef and poultry farmers in South Africa. <br>
DOI: 10.6084/m9.figshare.19354313.v1
title: Psychological Profiles of South African Smallholder Farmers - Datasets

description: These two datasets support the study examining psychological profiles of smallholder beef and poultry farmers in South Africa. <br>
DOI: 10.5281/zenodo.4297949
title: FTIR Dataset

description: Fourier-Transform Infrared Spectroscopy (FTIR) analysis was performed using a High-throughput Screening eXTension (HTS-XT) unit coupled to a Vertex 70 FTIR spectrometer (both Bruker Optik, Germany) allowing to perform High-throughput Screening (HTS) transmission mode measurements. The spectra were recorded in the region between 4000 and 500 cm<sup>-1</sup> with a spectral resolution of 6 cm<sup>-1</sup> and an aperture of 5.0 mm. Dataset represent FTIR spectroscopy data of 45 fast-growing bacteria isolated from green snow (coastal area of Eastern part of Antarctica).
DOI: 10.6084/m9.figshare.18607919
title: Supplementary Material for: Multimorbidity and readmissions in older people with acute coronary syndromes

description: Aims: To examine the multimorbidity as well as the 30-day and one-year readmission rates, in a large, unselected cohort of elderly patients with acute coronary syndrome (ACS). Methods and results: All patients ≥70 years, hospitalized due to ACS during January 1st 2006 – December 31st 2013 and registered in the SWEDEHEART-registry were included. In-hospital multimorbidity and disease burden were determined. Outcomes included 30-day and one-year: all-cause mortality, any readmission, readmissions due to ACS, heart failure, ischemic stroke, or transient ischemic attack (TIA) and bleeding events. Out of 80 176 patients, 25.6% had ST-elevation myocardial infraction (STEMI) and 74.4% non-ST-segment elevation ACS (NSTE-ACS). The mean age was 79.8 (±6.4 standard deviation) and 43.4% were women. Multimorbidity, or two chronic diseases, were present in 67.7%, thereof in 53.0% of STEMI patients and 72.7% of NSTE-ACS patients. In-hospital mortality was 7.0%. Of the 74 577 patients who survived to discharge, 24.6% were readmitted within 30 days, and 59.5% were readmitted during the following year. Multimorbid patients had a higher risk of readmissions than those without multimorbidity. Multimorbid STEMI were admitted the following year in 56.2% of cases compared to 44.5% of STEMI patients without multimorbidity, adjusted odds ratio (OR) 1.35 (95% confidence interval: 1.26 - 1.45). Multimorbid patients with NSTE-ACS were readmitted in 63.4 of cases the following year compared with 49.1% of those without multimorbidity, adjusted OR 1.42 (1.35 - 1.50). More than half of the readmissions were due to cardiovascular causes (ACS, Stroke, TIA, or heart failure) or bleeding events. Conclusions: Older people with ACS have a high multimorbidity burden and a high readmission rate both within 30-days and one-year. Half of the readmissions were due to a cardiovascular event or a bleeding event. The presence of multimorbidity increases the risk of readmissions for patients with ACS. As hospital admissions are costly for the health care system and can include risks, especially for older patients, there may be opportunities in better risk stratifying this group at discharge for subsequent decrease in readmission rates.
DOI: 10.6084/m9.figshare.18607919.v1
title: Supplementary Material for: Multimorbidity and readmissions in older people with acute coronary syndromes

description: Aims: To examine the multimorbidity as well as the 30-day and one-year readmission rates, in a large, unselected cohort of elderly patients with acute coronary syndrome (ACS). Methods and results: All patients ≥70 years, hospitalized due to ACS during January 1st 2006 – December 31st 2013 and registered in the SWEDEHEART-registry were included. In-hospital multimorbidity and disease burden were determined. Outcomes included 30-day and one-year: all-cause mortality, any readmission, readmissions due to ACS, heart failure, ischemic stroke, or transient ischemic attack (TIA) and bleeding events. Out of 80 176 patients, 25.6% had ST-elevation myocardial infraction (STEMI) and 74.4% non-ST-segment elevation ACS (NSTE-ACS). The mean age was 79.8 (±6.4 standard deviation) and 43.4% were women. Multimorbidity, or two chronic diseases, were present in 67.7%, thereof in 53.0% of STEMI patients and 72.7% of NSTE-ACS patients. In-hospital mortality was 7.0%. Of the 74 577 patients who survived to discharge, 24.6% were readmitted within 30 days, and 59.5% were readmitted during the following year. Multimorbid patients had a higher risk of readmissions than those without multimorbidity. Multimorbid STEMI were admitted the following year in 56.2% of cases compared to 44.5% of STEMI patients without multimorbidity, adjusted odds ratio (OR) 1.35 (95% confidence interval: 1.26 - 1.45). Multimorbid patients with NSTE-ACS were readmitted in 63.4 of cases the following year compared with 49.1% of those without multimorbidity, adjusted OR 1.42 (1.35 - 1.50). More than half of the readmissions were due to cardiovascular causes (ACS, Stroke, TIA, or heart failure) or bleeding events. Conclusions: Older people with ACS have a high multimorbidity burden and a high readmission rate both within 30-days and one-year. Half of the readmissions were due to a cardiovascular event or a bleeding event. The presence of multimorbidity increases the risk of readmissions for patients with ACS. As hospital admissions are costly for the health care system and can include risks, especially for older patients, there may be opportunities in better risk stratifying this group at discharge for subsequent decrease in readmission rates.
DOI: 10.25502/190f-1132/d
title: 2015 Male and Female D. rotundata Crossing blocks Yam Anthracnose  Disease and Virus severity

description: Enhanced breeding for increased productivity and improved quality in West Africa
DOI: 10.5519/qd.1amcx3jd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5445/ir/1000143583
title: Numerical experiments to "Inverse medium scattering for a nonlinear Helmholtz equation"
DOI: 10.5281/zenodo.5613335
title: Hyperbolic Shear Polaritons in Low-Symmetry Crystals - Experimental Data

description: Data for Nature <strong>602</strong>, pages 595–600 (2022), https://doi.org/10.1038/s41586-021-04328-y preprint: https://doi.org/10.21203/rs.3.rs-558805/v1 Contents: isotfrequency_surfaces.nb: Mathematica scripts generating Fig. 1c,d<br> raw_data.zip: contains all experimental raw data, lab book entries, and raw data preprocessing scripts.<br> SiO2_data.zip: experimental data analysis and simulations leading to Fig. 2b,c <br> bGO_data.zip: experimental data analysis and simulations leading to Fig. 2d,e<br> bGO_inplane_data.zip: experimental data analysis and simulations for inplane dispersion, Fig. 2f-j Please note that parts of the analysis code use the transfer matrix code developed in the Paarmann group (https://pc.fhi-berlin.mpg.de/latdyn/), see: https://doi.org/10.5281/zenodo.3648040. The code is included again here. However, the dielectric tensor of Gallium Oxide was not part of the previous code and only implemented here. Please contact Alex Paarmann (alexander.paarmann@fhi-berlin.mpg.de) if you have any questions.
description: {"references": ["https://doi.org/10.21203/rs.3.rs-558805/v1"]}
DOI: 10.5281/zenodo.5613334
title: Hyperbolic Shear Polaritons in Low-Symmetry Crystals - Experimental Data

description: Data for Nature <strong>602</strong>, pages 595–600 (2022), https://doi.org/10.1038/s41586-021-04328-y preprint: https://doi.org/10.21203/rs.3.rs-558805/v1 Contents: isotfrequency_surfaces.nb: Mathematica scripts generating Fig. 1c,d<br> raw_data.zip: contains all experimental raw data, lab book entries, and raw data preprocessing scripts.<br> SiO2_data.zip: experimental data analysis and simulations leading to Fig. 2b,c <br> bGO_data.zip: experimental data analysis and simulations leading to Fig. 2d,e<br> bGO_inplane_data.zip: experimental data analysis and simulations for inplane dispersion, Fig. 2f-j Please note that parts of the analysis code use the transfer matrix code developed in the Paarmann group (https://pc.fhi-berlin.mpg.de/latdyn/), see: https://doi.org/10.5281/zenodo.3648040. The code is included again here. However, the dielectric tensor of Gallium Oxide was not part of the previous code and only implemented here. Please contact Alex Paarmann (alexander.paarmann@fhi-berlin.mpg.de) if you have any questions.
description: {"references": ["https://doi.org/10.21203/rs.3.rs-558805/v1"]}
DOI: 10.25934/pr00001537.0
title: Data Package for study.

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5281/zenodo.6351794
title: Trap catches of carrot fly (Psila rosae) and cutworm (Agrotis ipsilon) from 142 fields in Denmark and Southern Sweden 1997-2019

description: The pests were caught in various vegetable crops in Denmark and Southern Sweden: Yellow sticky traps for carrot flies and pheromone traps for cutworm adults. The data is provided as both a tab-separated text file and a binary R data file. The R files provides code to read and plot the data. The two plots produced are also provided as PNG files. The data were collected by SEGES Innovation, Denmark.
description: Supported by EU H2020-SFS-2018-2020 (grant agreement 817617).
DOI: 10.5281/zenodo.6351793
title: Trap catches of carrot fly (Psila rosae) and cutworm (Agrotis ipsilon) from 142 fields in Denmark and Southern Sweden 1997-2019

description: The pests were caught in various vegetable crops in Denmark and Southern Sweden: Yellow sticky traps for carrot flies and pheromone traps for cutworm adults. The data is provided as both a tab-separated text file and a binary R data file. The R files provides code to read and plot the data. The two plots produced are also provided as PNG files. The data were collected by SEGES Innovation, Denmark.
description: Supported by EU H2020-SFS-2018-2020 (grant agreement 817617).
DOI: 10.14278/rodare.1440
title: Data publication: MOFs with 12-coordinate 5f-block metal centers

description: Autoluminescence CO2 BET Elemental analysis Leaching test results Powder XRD TGA-DSC UV/vis
DOI: 10.14278/rodare.1439
title: Data publication: MOFs with 12-coordinate 5f-block metal centers

description: Autoluminescence CO2 BET Elemental analysis Leaching test results Powder XRD TGA-DSC UV/vis
DOI: 10.5281/zenodo.6351651
title: Addressing infrastructure challenges posed by the Harwich Formation through understanding its geological origins - dataset

description: The dataset contains borehole records and laboratory test results from PhD research titled 'Addressing infrastructure challenges posed by the Harwich Formation through understanding its geological origins' by J. Edgar.
DOI: 10.5281/zenodo.6351650
title: Addressing infrastructure challenges posed by the Harwich Formation through understanding its geological origins - dataset

description: The dataset contains borehole records and laboratory test results from PhD research titled 'Addressing infrastructure challenges posed by the Harwich Formation through understanding its geological origins' by J. Edgar.
DOI: 10.5281/zenodo.6351926
title: Dataset related to article "CORTICO-MUSCULAR AND CORTICO-CORTICAL COHERENCE CHANGES RESULTING FROM PERAMPANEL TREATMENT IN PATIENTS WITH CORTICAL MYOCLONUS"

description: <strong>The dataset contains coherence data</strong><br> <br> <br> <br> <br> <br>
description: study supported by Italian ministry of health - Programa Ricerca Corrente Linea 2
DOI: 10.5281/zenodo.6351925
title: Dataset related to article "CORTICO-MUSCULAR AND CORTICO-CORTICAL COHERENCE CHANGES RESULTING FROM PERAMPANEL TREATMENT IN PATIENTS WITH CORTICAL MYOCLONUS"

description: <strong>The dataset contains coherence data</strong><br> <br> <br> <br> <br> <br>
description: study supported by Italian ministry of health - Programa Ricerca Corrente Linea 2
DOI: 10.6084/m9.figshare.8313785
title: Dataset used to invert for the 2018 Zakynthos Earthquake Rupture Process

description: Datasets used in the work