cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7621056
title: Raw Data for the article: COVID-19 safety measures at the Radiology Unit of a Transplant Institute: the non-COVID-19 patient's confidence with safety procedures

description: <strong>Purpose: </strong>To support the wellbeing of both patients and their families, our aim was to investigate the satisfaction of non-COVID in- and out-patients regarding safety measures implemented at our radiology unit of a transplant institute against COVID infection. <strong>Materials and methods: </strong>Over a five-month period, adult patients' feedback was obtained by a questionnaire on the fear of contracting COVID-19 during a radiology examination, the perceived delay in treatment, and the following safety measures implemented: modified schedules to limit the number of patients in the waiting area and to maximize social distancing; assistance by staff when visitors were not admitted; cleaning and disinfection of machines; mask wearing and hand hygiene of staff; and staff advice on hand hygiene and infection control precautions. <strong>Results: </strong>Over a five-month period, our preliminary results (387 patients) showed general patient satisfaction (99.1%) with safety measures applied at our radiology unit. Patients were satisfied with distancing and assistance by staff (100%), cleaning and disinfection (91%), mask wearing and hand hygiene of the staff (97%), and staff advice (94%). There was some criticism of the perceived delay in treatment (7.3%) and in the scheduling of the waiting list (5.4%), with 5.4% fearing contracting the virus. Patients' awareness of safety measures and confidence in the hospital preparedness policy was perceived by all interviewers, and 100% appreciated being questioned. <strong>Conclusion: </strong>The feedback given by the non-COVID patient helps to measure the quality in health care, to improve the quality service, and to protect and satisfy more vulnerable patients, also during the COVID-19 pandemic.
DOI: 10.6084/m9.figshare.21387363.v2
title: Metadata review - Raw database

description: This is a raw metadata dataset of all plant-associated fungal communities, downloaded of GenBank.
DOI: 10.6084/m9.figshare.21387363
title: Metadata review - Raw database

description: This is a raw metadata dataset of all plant-associated fungal communities, downloaded of GenBank.
DOI: 10.6084/m9.figshare.21387363.v1
title: Metadata review - Raw database

description: This is a raw metadata dataset of all plant-associated fungal communities, downloaded of GenBank.
DOI: 10.13028/bpq6-hf10
title: Data and code from "Show me the data! Data sharing practices demonstrated in published research at the University of Massachusetts Chan Medical School"

description: Data extracted from articles published by UMass Chan researchers to determine where and how data was being shared. Code from the analysis is also included.
DOI: 10.6084/m9.figshare.22015952.v3
title: Supplement file.xls

description: GSE100927 normalization GSE55457 normalization wgcna_module wgcna_MEs GSE100927-DEGs GSE55457-DEGs STRING-input string_interactions_short nomogram-input cibersort-input ROC-input R-optparse R-limma R-wgcna R-clusterprofiler R-lasso R-random forest R-nomogram <br>
DOI: 10.5281/zenodo.7621146
title: Data explanation for Manuscript "'An optimized hydroponic pipeline for large-scale identification of wheat genotypes with resilient biological nitrification inhibition (BNI) activity'"

description: Data explanation for Manuscript "'An optimized hydroponic pipeline for large-scale identification of wheat genotypes with resilient biological nitrification inhibition (BNI) activity'"
DOI: 10.5281/zenodo.7579969
title: Nudging the tropical Indian Ocean Applied to the IPSL-CM6A-LR model - Warming Experiments

description: This experiment applies monthly nudging of -2, -1, +1, and +2 degree C to the tropical Indian Ocean region in the IPSL-CM6A-LR pre-industrial control run. The methods of nudging are defined in Ferster et al. (2021), where we apply a constant nudging and refer to the experiments as TIOxC, where "x" is the monthly nudging value (as in Ferster et al., 2021). Additional experiments were simulated for a paper within the submission process (to be included and updated within future versions) including the "TIOc" and "C0C" experiments, where the TIOC nudges towards towards the time-mean climatology and the C0C nudges at each monthly time step towards the pre-industrial control's corresponding monthly value (similar to adding white noise at each time step). The datasets are included from the experiments to help share our results and reproducibility of the figures within our manuscripts, the original model output is stored on the TGCC computing machine Irene. All datasets are saved on this data repository are saved as annual means! These datasets represent the +1 and +2 degree C experiments. Please use the additional thredds link to access the full IPSL output for the experiments: https://thredds-su.ipsl.fr/thredds/catalog/tgcc_thredds/store/fersterb/IPSLCM6/DEVT/TIO-Experiment/P1C-TIO/1950-01-01/P1C-TIO1950-01/catalog.html https://thredds-su.ipsl.fr/thredds/catalog/tgcc_thredds/store/fersterb/IPSLCM6/DEVT/TIO-Experiment/P2C-TIO/1950-01-01/P2C-TIO1950-01/catalog.html The pre-industrial control from IPSL can be found on the CMIP6-ESGF servers and the TGCC computing machine Irene. Please contact us for additional explanations, datasets, or collaboration. *The datasets are created from the IPSL-CM6A-LR output files **This version serves as a preliminary version of the dataset for publication purposes, additional output is available and the experiment output exceeds the 50gb of storage offered through this platform (TGCC Irene). ***Contact: brady.ferster@locean.ipsl.fr or brady.ferster@yale.edu
DOI: 10.5519/qd.yq8dai8g
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.7621206
title: lottia_scutum_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7621205
title: lottia_scutum_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7621198
title: Electronic supplemental material for Mann et al. "Multi-decadal records of shoreline erosion reveal the roles of river delta dynamics, hard protection measures, and other interventions in Eastern Ghana"

description: Electronic supplemental material for Mann et al. "Multi-decadal records of shoreline erosion reveal the roles of river delta dynamics, hard protection measures, and other interventions in Eastern Ghana" <br> The supplemental material comprises the database "Geodatabase Ghana.mdb" and the MSc thesis by Aleksandra Serwa (Serwa 2017), the results of which built the foundation for the paper. The database contains one layer with all digitized shorelines (HWL_END) as indicated in table 1 of the manuscript, and additional baseline and transect layers that are necessary for the shoreline change analyses with DSAS (Thieler & Danforth 1994). Further information can be found in Serwa (2017). References: Serwa, A., 2017. Shoreline changes in the Keta Municipal District (Ghana): Evidence from multi-decadal records. Master Thesis, Department of Geosciences, University of Bremen, 88 p. <br> Thieler, E.R. & Danforth, W.W., 1994. Historical Shoreline Mapping ( II ): Application of the Digital Shoreline Mapping and Analysis Systems ( DSMS / DSAS ) to Shoreline Change Mapping in Puerto Rico. Journal of Coastal Research, 10(3), pp.600–620.
DOI: 10.5281/zenodo.7621197
title: Electronic supplemental material for Mann et al. "Multi-decadal records of shoreline erosion reveal the roles of river delta dynamics, hard protection measures, and other interventions in Eastern Ghana"

description: Electronic supplemental material for Mann et al. "Multi-decadal records of shoreline erosion reveal the roles of river delta dynamics, hard protection measures, and other interventions in Eastern Ghana" <br> The supplemental material comprises the database "Geodatabase Ghana.mdb" and the MSc thesis by Aleksandra Serwa (Serwa 2017), the results of which built the foundation for the paper. The database contains one layer with all digitized shorelines (HWL_END) as indicated in table 1 of the manuscript, and additional baseline and transect layers that are necessary for the shoreline change analyses with DSAS (Thieler & Danforth 1994). Further information can be found in Serwa (2017). References: Serwa, A., 2017. Shoreline changes in the Keta Municipal District (Ghana): Evidence from multi-decadal records. Master Thesis, Department of Geosciences, University of Bremen, 88 p. <br> Thieler, E.R. & Danforth, W.W., 1994. Historical Shoreline Mapping ( II ): Application of the Digital Shoreline Mapping and Analysis Systems ( DSMS / DSAS ) to Shoreline Change Mapping in Puerto Rico. Journal of Coastal Research, 10(3), pp.600–620.
DOI: 10.5281/zenodo.7621220
title: Transgenerational coexistence history attenuates negative direct interactions and strengthens facilitation

description: Data set for the study <strong>Transgenerational coexistence history attenuates negative direct interactions and strengthens facilitation</strong>
DOI: 10.5281/zenodo.7621219
title: Transgenerational coexistence history attenuates negative direct interactions and strengthens facilitation

description: Data set for the study <strong>Transgenerational coexistence history attenuates negative direct interactions and strengthens facilitation</strong>
DOI: 10.5281/zenodo.7620447
title: Coadaptation of coexisting plants enhances productivity in an agricultural system

description: Data set for the study <strong>Coadaptation of coexisting plants enhances productivity in an agricultural system</strong>
DOI: 10.5281/zenodo.7620446
title: Coadaptation of coexisting plants enhances productivity in an agricultural system

description: Data set for the study <strong>Coadaptation of coexisting plants enhances productivity in an agricultural system</strong>
DOI: 10.5281/zenodo.7505603
title: Crops grown in mixtures show niche partitioning in spatial water uptake

description: Data set for the study <strong>Crops grown in mixtures show niche partitioning in spatial water uptake</strong>
DOI: 10.5281/zenodo.7505602
title: Crops grown in mixtures show niche partitioning in spatial water uptake

description: Data set for the study <strong>Crops grown in mixtures show niche partitioning in spatial water uptake</strong>
DOI: 10.5281/zenodo.7612568
title: Dataset of ten years of poplar inventory in northern Italy

description: This database contains the data deriving from a continous inventory in a ten year span in permanent sample plot of poplar stands in northern Italy. It contains dendrometric information such as tree diameter at breast height and at 5 metres above ground, total height and total volume as well as the volume at 5 metres above ground. It contains the planting year and the measuring year for each individual and for each permanent sample plot are shown the UTM coordinates in the ED50 reference system. It shows, for evey individual, if it's missing, dead, broken or replaced as well as the<strong> </strong>degree of disturbance / damage intensity caused by weather conditions, woolly aphids, viruses, rodents, saperda, rottenness and necrosis.
DOI: 10.5281/zenodo.7308406
title: German Local Protest News (GLPN) dataset

description: This dataset contains excerpts from newspaper articles of four German local newspapers labelled for relevancy in protest event analysis. It can be used to train machine learning models to detect news articles containing mentions of protest event for political analysis. For using a model trained on this data, it is recommended to preprocess new data in similar ways like this dataset. To retrieve the excerpts, we the following steps have been taken: split articles into sentences tag sentences that match the following regular expression: protest_regex = re.compile(r'protest|versamm|demonstr|kundgebung|kampagne|soziale bewegung|hausbesetz|streik|unterschriftensammlung|hasskriminalität|unruhen|aufruhr|aufstand|boykott|riot|aktivis|widerstand|mobilisierung|petition|bürgerinitiative|bürgerbegehren|aufmarsch', re.UNICODE | re.IGNORECASE) tag sentences predecessing or succeeding tagged sentences concatenate all tagged sentences to the excerpt. See the following code on github for an example: https://github.com/Leibniz-HBI/protest-event-analysis/blob/main/utils.py contains the function "reformat_df" that preprocesses a column named "text" of a given dataframe https://github.com/Leibniz-HBI/protest-event-analysis/blob/main/task-A_prediction.py contains an example on how to apply a model on new data Experiments on this dataset are described in the following paper: &gt; Wiedemann, G., Dollbaum, J. M., Haunss, S., Daphi, P., Meier, L. D. (2022): A Generalized Approach to Protest Event Detection in German Local News, In: Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC 2022). Marseille, France. European Language Resources Association (ELRA). In case of questions on the dataset, please contact Gregor Wiedemann at the Leibniz-Institute for Media Research (HBI): g.wiedemann@leibniz-hbi.de
DOI: 10.5281/zenodo.6490536
title: German Local Protest News (GLPN) dataset

description: This dataset contains excerpts from newspaper articles of four German local newspapers labelled for relevancy in protest event analysis. It can be used to train machine learning models to detect news articles containing mentions of protest event for political analysis. For using a model trained on this data, it is recommended to preprocess new data in similar ways like this dataset. To retrieve the excerpts, we the following steps have been taken: split articles into sentences tag sentences that match the following regular expression: protest_regex = re.compile(r'protest|versamm|demonstr|kundgebung|kampagne|soziale bewegung|hausbesetz|streik|unterschriftensammlung|hasskriminalität|unruhen|aufruhr|aufstand|boykott|riot|aktivis|widerstand|mobilisierung|petition|bürgerinitiative|bürgerbegehren|aufmarsch', re.UNICODE | re.IGNORECASE) tag sentences predecessing or succeeding tagged sentences concatenate all tagged sentences to the excerpt. See the following code on github for an example: https://github.com/Leibniz-HBI/protest-event-analysis/blob/main/utils.py contains the function "reformat_df" that preprocesses a column named "text" of a given dataframe https://github.com/Leibniz-HBI/protest-event-analysis/blob/main/task-A_prediction.py contains an example on how to apply a model on new data Experiments on this dataset are described in the following paper: &gt; Wiedemann, G., Dollbaum, J. M., Haunss, S., Daphi, P., Meier, L. D. (2022): A Generalized Approach to Protest Event Detection in German Local News, In: Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC 2022). Marseille, France. European Language Resources Association (ELRA). In case of questions on the dataset, please contact Gregor Wiedemann at the Leibniz-Institute for Media Research (HBI): g.wiedemann@leibniz-hbi.de
DOI: 10.6084/m9.figshare.22046606
title: GWAS summary statistics

description: GWAS summary stats for each trait. Additionally QQ plots and manhattan plots have been added
DOI: 10.6084/m9.figshare.22046504
title: Genotype and phenotype data for GWAS

description: genotype and phenotype data used to perform GWAS analyses
DOI: 10.5281/zenodo.7621267
title: Data explanation for Manuscript "'An optimized hydroponic pipeline for large-scale identification of wheat genotypes with resilient biological nitrification inhibition (BNI) activity'"

description: Data explanation for Manuscript "'An optimized hydroponic pipeline for large-scale identification of wheat genotypes with resilient biological nitrification inhibition (BNI) activity'"
DOI: 10.5281/zenodo.7621145
title: Data explanation for Manuscript "'An optimized hydroponic pipeline for large-scale identification of wheat genotypes with resilient biological nitrification inhibition (BNI) activity'"

description: Data explanation for Manuscript "'An optimized hydroponic pipeline for large-scale identification of wheat genotypes with resilient biological nitrification inhibition (BNI) activity'"
DOI: 10.5281/zenodo.7621298
title: Myeloarchitectonic cortical parcellation data for contemporary neuroimaging – The Vogt-Vogt legacy in the 21st century

description: <strong>Full Changelog</strong>: https://github.com/NOEL-MNI/noelMyelin/compare/v1.0...v2.0
DOI: 10.5281/zenodo.7587712
title: Myeloarchitectonic cortical parcellation data for contemporary neuroimaging – The Vogt-Vogt legacy in the 21st century

description: <strong>Full Changelog</strong>: https://github.com/NOEL-MNI/noelMyelin/compare/v1.0...v2.0
DOI: 10.6084/m9.figshare.21975641
title: Supplementary Material for: Nonintentional N-Acetylcysteine Overdose Associated with Cerebral Edema and Brain Death

description: N-Acetylcysteine is the established treatment of acetaminophen toxicity. This medication’s complex dosing schedule engenders a high incidence of medication errors. While nuisance side effects are common, only rare case reports describe serious outcomes associated with N-Acetylcysteine administration, all of which take place in the setting of non-intentional N-Acetylcysteine overdose. This case report contributes to a small but growing literature that suggests that large N-Acetylcysteine overdose may have devastating outcomes. We describe a 15-year-old female who presented with Stage III Acetaminophen toxicity and who received a non-intentional six-fold overdose of intravenous N-Acetylcysteine due to a medication prescribing error. During the N-Acetylcysteine infusion dosing error the patient had clinical deterioration including seizure followed by cerebral edema and brain herniation that progressed to brain death. She developed agitation and worsening headache within 2 hours of the dosing error and progressed to seizure and intubation 14 hours into the dosing error. Although possibly due to hepatic encephalopathy, at the time she developed fixed dilated pupils her lactate, INR, aspartate aminotransferase, and alanine aminotransferase had all improved. On review of the literature, other case reports of seizures (n=4) and cerebral edema with brain herniation (n=3) were found, suggesting our patient was not an isolated case. Clinicians need to be aware of the common occurrence of dosing errors for N-Acetylcysteine infusions. We suggest institutions review their N-Acetylcysteine ordering, dosing, and mixing protocols in order to avoid similar rare errors in the future. Iatrogenic overdose of N-Acetylcysteine can cause seizure, cerebral edema, and brain death.
DOI: 10.5281/zenodo.7620982
title: Spatiotemporal dynamics in freshwater amphipod assemblages are associated with surrounding terrestrial land use type - Dataset

description: Biological assemblages are the result of dynamic processes that have explicit temporal and spatial dimensions. While biodiversity patterns can be directly inferred from the structure of these assemblages, an assessment of changes through time and space is needed to understand how organisms initially assembled and how they are responding to local environmental and biotic factors. Small freshwater streams are particularly affected by contemporary anthropogenic activities and biological invasions, yet are commonly less studied, as studies often focus on lakes and large streams. Here, we conducted a spatially explicit analysis of keystone shredder assemblages across eight years in twelve replicated small tributary streams. In each stream, we monitored multiple sites per km stream length. By assessing temporal beta diversity dynamics, defined by the gain or loss of species or abundance-per-species at individual sites, we show that changes in amphipod assemblages occur within the context of the surrounding terrestrial matrix and reflect recent amphipod colonization history. While amphipod composition was mostly constant in streams located in forested catchments, streams embedded in catchments with more extensive agricultural land use displayed more pronounced temporal changes, either driven by colonization of unoccupied upstream locations, or by more pronounced but undirected fluctuations in gains and losses of species or abundance-per-species. Our study thus suggests that agricultural landscapes might destabilize aquatic amphipod assemblages, causing higher temporal changes in community structures, and highlighting the vulnerability of aquatic ecosystems to terrestrial land use drivers.
description: Funding is from the Swiss Federal Office for Environment (FOEN/BAFU), the University of Zurich Research Priority Programme Global Change and Biodiversity, and the Swiss National Science Foundation.
DOI: 10.34740/kaggle/dsv/4966102
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.7621332
title: pagurus_hirsutiusculus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7621331
title: pagurus_hirsutiusculus_spades_01.fasta.gz

description: .
DOI: 10.23644/uu.22043474
title: Dataset for protein complexes project

description: This item includes 4 datasets: 1, training dataset 2, testing dataset 3, validation dataset 4, the best model used in the manuscript to predict protein-protein interaction
DOI: 10.5281/zenodo.7621204
title: X-ray scattering datasets associated with the publication "Molecular Mobility of Polynorbornenes with Trimethylsiloxysilyl side groups: Influence of the Polymerization Mechanism"

description: X-ray scattering datasets for samples described in the 2022 publication "Molecular Mobility of Polynorbornenes with Trimethylsiloxysilyl side groups: Influence of the Polymerization Mechanism". This dataset includes both raw and processed X-ray scattering data for samples APTCN and MPTCN, alongside background measurement files (BKG).
DOI: 10.5281/zenodo.7621203
title: X-ray scattering datasets associated with the publication "Molecular Mobility of Polynorbornenes with Trimethylsiloxysilyl side groups: Influence of the Polymerization Mechanism"

description: X-ray scattering datasets for samples described in the 2022 publication "Molecular Mobility of Polynorbornenes with Trimethylsiloxysilyl side groups: Influence of the Polymerization Mechanism". This dataset includes both raw and processed X-ray scattering data for samples APTCN and MPTCN, alongside background measurement files (BKG).
DOI: 10.6084/m9.figshare.22048109
title: ATR-FTIR data of buccal cells - OPUS

description: ATR-FTIR data from buccal cell analysis
DOI: 10.5517/ccdc.csd.cc281kd9
title: CCDC 2086870: Experimental Crystal Structure Determination

description: Related Article: Ke Zhang, Xianwen Meng, Lei He|2023|Inorg.Chem.|62|2135|doi:10.1021/acs.inorgchem.2c03804
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.cc281kfb
title: CCDC 2086871: Experimental Crystal Structure Determination

description: Related Article: Ke Zhang, Xianwen Meng, Lei He|2023|Inorg.Chem.|62|2135|doi:10.1021/acs.inorgchem.2c03804
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.