cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7983558
title: Additional raw data in `Cell-type-specific co-expression inference from single cell RNA-sequencing data'.

description: This repository holds the additional raw data used to generate figures in the publication "<strong><em>Cell-type-specific co-expression inference from single cell RNA-sequencing data</em></strong>" (preprint version: https://www.biorxiv.org/content/10.1101/2022.12.13.520181v1). Table of contents: Figure_1B.rds: raw data of Figure 1B co-expression estimates of 500*499/2 gene pairs across 100 replicates for 7 methods under two settings of sequencing detph variations Supplementary_Figure_1B.rds: raw data of Supplementary Figure 1B co-expression estimates of 500*499/2 gene pairs across 100 replicates for 7 methods under two settings of sequencing detph variations Supplementary_Figure_2.rds: raw data of Supplementary Figure 2 empirical power evaluated for 4999 gene pairs and 6 methods Figure_3B.rds: raw data of Figure 3B co-expression estimates of a network of 500 genes for 9 methods across 100 replicates Additional_Raw_Data.xlsx raw data of Figure 3A: (geometric mean expression levels, co-expression estimates) for 4999 gene pairs and 11 methods raw data of Figure 3C: running times for 11 methods raw data of Supplementary Figure 3: (geometric mean expression levels, co-expression estimates) for 4999 gene pairs and 11 methods under two settings of sequencing detph variations
DOI: 10.6084/m9.figshare.23259092
title: fpkm and degs for RNAseq

description: We performed gene expression profiling analysis using data obtained from RNA-seq of BMDMs from C57BL/6 mice at two conditions (uninfected and Salmonella-infected BMDMs).
DOI: 10.6084/m9.figshare.23259092.v1
title: fpkm and degs for RNAseq

description: We performed gene expression profiling analysis using data obtained from RNA-seq of BMDMs from C57BL/6 mice at two conditions (uninfected and Salmonella-infected BMDMs).
DOI: 10.5517/ccdc.csd.cc2cn1dh
title: CCDC 2194006: Experimental Crystal Structure Determination

description: Related Article: Yan-Ping Jiao, Li-Song Zhang, Chong Chen, Li-Hua Tang, Yao Cheng, Ai-Quan Jia, Qian-Feng Zhang|2023|J.Mol.Struct.|1288|135704|doi:10.1016/j.molstruc.2023.135704
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.cc2cn1fj
title: CCDC 2194007: Experimental Crystal Structure Determination

description: Related Article: Yan-Ping Jiao, Li-Song Zhang, Chong Chen, Li-Hua Tang, Yao Cheng, Ai-Quan Jia, Qian-Feng Zhang|2023|J.Mol.Struct.|1288|135704|doi:10.1016/j.molstruc.2023.135704
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.cc2cn1gk
title: CCDC 2194008: Experimental Crystal Structure Determination

description: Related Article: Yan-Ping Jiao, Li-Song Zhang, Chong Chen, Li-Hua Tang, Yao Cheng, Ai-Quan Jia, Qian-Feng Zhang|2023|J.Mol.Struct.|1288|135704|doi:10.1016/j.molstruc.2023.135704
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.cc2cn1hl
title: CCDC 2194009: Experimental Crystal Structure Determination

description: Related Article: Yan-Ping Jiao, Li-Song Zhang, Chong Chen, Li-Hua Tang, Yao Cheng, Ai-Quan Jia, Qian-Feng Zhang|2023|J.Mol.Struct.|1288|135704|doi:10.1016/j.molstruc.2023.135704
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.cc2cn1jm
title: CCDC 2194010: Experimental Crystal Structure Determination

description: Related Article: Yan-Ping Jiao, Li-Song Zhang, Chong Chen, Li-Hua Tang, Yao Cheng, Ai-Quan Jia, Qian-Feng Zhang|2023|J.Mol.Struct.|1288|135704|doi:10.1016/j.molstruc.2023.135704
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.cc2cn1kn
title: CCDC 2194011: Experimental Crystal Structure Determination

description: Related Article: Yan-Ping Jiao, Li-Song Zhang, Chong Chen, Li-Hua Tang, Yao Cheng, Ai-Quan Jia, Qian-Feng Zhang|2023|J.Mol.Struct.|1288|135704|doi:10.1016/j.molstruc.2023.135704
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.cc2cn1lp
title: CCDC 2194012: Experimental Crystal Structure Determination

description: Related Article: Yan-Ping Jiao, Li-Song Zhang, Chong Chen, Li-Hua Tang, Yao Cheng, Ai-Quan Jia, Qian-Feng Zhang|2023|J.Mol.Struct.|1288|135704|doi:10.1016/j.molstruc.2023.135704
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: 10.25949/23208569
title: Dataset and metadata associated with Intention to Leave paper (submitted)

description: This dataset includes data from 713 members of the early childhood workforce who completed a survey in March and April 2021.This survey included the collection of information on personal and workplace chatacteristics, workplace culture and climate (co-worker and supervisor relations, teamwork, organisational climate, autonomy, impact on decision making) and work-related wellbeing (personal accomplishment, emotional exhaustion, professional respect, pay and benefits, intention to leave the profession). Description of each data variable is provided in the attached metadata file named 'intention to leave metadata'. The data is provided in .csv format. This study was approved by the researchers’ university Human Research Ethics Committee, and was conducted in accordance with the Australian National Statement on Ethical Conduct in Human Research (National Health and Medical Research Council, 2018). No information was collected in the study that could identify participants or services. An information statement was provided to all participants before they commenced the survey, and participants gave informed consent by starting the survey. Participants were free to complete as much or as little of the survey as they chose. The research and survey link were emailed to each service listed on the ACECQA publicly available database of ECEC services. Centre directors then sent the survey information and link to their service’s educators if they chose to. A reminder email was sent to services two weeks after the initial email. The survey remained open for four weeks.
DOI: 10.25949/23208569.v1
title: Dataset and metadata associated with Intention to Leave paper (submitted)

description: This dataset includes data from 713 members of the early childhood workforce who completed a survey in March and April 2021.This survey included the collection of information on personal and workplace chatacteristics, workplace culture and climate (co-worker and supervisor relations, teamwork, organisational climate, autonomy, impact on decision making) and work-related wellbeing (personal accomplishment, emotional exhaustion, professional respect, pay and benefits, intention to leave the profession). Description of each data variable is provided in the attached metadata file named 'intention to leave metadata'. The data is provided in .csv format. This study was approved by the researchers’ university Human Research Ethics Committee, and was conducted in accordance with the Australian National Statement on Ethical Conduct in Human Research (National Health and Medical Research Council, 2018). No information was collected in the study that could identify participants or services. An information statement was provided to all participants before they commenced the survey, and participants gave informed consent by starting the survey. Participants were free to complete as much or as little of the survey as they chose. The research and survey link were emailed to each service listed on the ACECQA publicly available database of ECEC services. Centre directors then sent the survey information and link to their service’s educators if they chose to. A reminder email was sent to services two weeks after the initial email. The survey remained open for four weeks.
DOI: 10.26183/x9a9-1t85
title: Archival Research: Women who were admitted to Callan Park and Gladesville Hospitals with psychosis or mania attributed to childbirth from 1885- 1895, 1925 to 1935 and 1945 to 1955 dataset

description: Dataset 1: Women admitted to Callan Park and Gladesville Hospitals with psychosis or mania attributed to childbirth from 1885 to 1895 
Dataset 2: Women admitted to Callan Park and Gladesville Hospitals with psychosis or mania attributed to childbirth from 1925 to 1935
Dataset 3: Women admitted to Callan Park and Gladesville Hospitals with psychosis or mania attributed to childbirth from 1945 to 1955

The data was collected and transcribed from historical healthcare records from house in the State Records Office at Kingswood. 
Permission to access these archives was given by the Records Office of NSW Health on the condition that the records were de-identified and that no person could be identified in any public use of the records.

These datasets contain sensitive data that cannot be published. For any information or discussion of the data, please contact Diana Jefferies <D.Jefferies@westernsydney.edu.au> ORCID 0000-0001-5271-2569
DOI: 10.23729/cbd23aef-04b8-44a7-b05d-4e8e64ad6d69
title: SMEAR I Värriö forest eddy covariance

description: This dataset contains time series of turbulent exchange of CO2, heat and momentum measured at two heights at SMEAR I research station in Värriö, Salla, Finland, during years 2012–2022. The flux measurements were done in tower above the forest and at 2.5 m height below the canopy. The data were exported from SMEAR database on the dataset release date. Most recent version of the data are available at https://smear.avaa.csc.fi/.
DOI: 10.21227/21jn-7z98
title: molecular solubility datasets

description: We collated small molecule solubility data from an array of databases and literature. Some of these sources merely provided molecular names, lacking SMILES notation. We sourced the molecular SMILES and molecular weights from PubChem, DrugBank, https://www.wikiarabic.org/, and https://www.sigmaaldrich.com/US/en. In terms of data selection, Canonical SMILES was preferred over Isomeric SMILES in instances where both were available in different forms. As for data retention, we considered only experimental results gathered at temperatures between 20-25 degrees Celsius, and we standardized the data units to mol/L. The data cleaning process entailed several steps. We eliminated sections containing non-numerical data and other errors, as well as drug molecules without identifiable SMILES. We eradicated any duplicate data; Data representing the same molecule, either with identical SMILES or different SMILES formats, were removed. Additionally, data entries with solubility differences greater than 0.03 were eliminated. When the solubility difference was equal to or less than 0.03, the mean value was computed to provide the final solubility result. Ultimately, we excised molecules containing only two atoms, molecules with a molecular weight exceeding 500, and those with logS below -8.
DOI: 10.48505/nims.4167
title: Raw data files for Fig. 9 Auger depth profiles in "Auger Depth Profiling Analysis of HfO2/Si Specimen Using an Ultra Low Angle Incidence Ion Beam"

description: We have investigated the Auger depth profiling analysis of HfO2/Si by the glancing-angle ion beam sputtering method at an incident angle of 7 degree from the sample surface with argon ion beam. The depth resolutions of the O KLL interface profiles were 0.9 nm and 1.5 nm, at the ion-beam acceleration voltage of 2.0 kV and 3.0 kV re-spectively, which were better than the depth resolutions at a commonly-used incident angle of 51 degree. However, the ion-beam-induced reduction of HfO2 was not suppressed by the glancing-angle ion beam sputtering at the ion acceleration voltage of 0.5 kV, which is expected to be the lowest damage sputtering condition in this study. The reduction of HfO2 due to preferential sputtering of oxygen was observed by the intensity ratio of O KLL and Hf NVV depth profiles. It was found that the ratio of preferential sputtering depends on the ion incidence angle and the ion acceleration voltage. Under the glancing-angle condition, the ratio of preferential sputtering greatly de-pended on the ion accelerating voltage, and it was found that the lower the ion acceleration voltage is, the easier it is for O to be sputtered than Hf. On the other hand, under the commonly-used incident angle conditions, the ratio of preferential sputtering did not depend much on the ion acceleration voltage. The dependency of the ratio of preferential sputtering on the ion incidence angle can be explained by the difference in sputtering models depend-ing on the ion incidence angle. It was found that the O KLL depth profiles showed partial recovery of the oxygen intensity near the interface of HfO2/Si, which can be related to oxygen generated by the ion-beam-induced decom-position of the diffusion layer at the interface. In addition, the glancing-angle ion beam enables the reduction of the effect of recoil implantation of Hf atoms into the Si substrate.
DOI: 10.6084/m9.figshare.20522806
title: Maximum temperature (PISCOt v1.2)

description: Maximum air temperature from PISCOt v1.2. (i) Monthly means (normals) are provided in one file. (ii) Daily values are divided per year from 1981 to 2020. (i) and (ii) are the results from the climate-aided interpolation at normal- and daily-scale, respectively.
DOI: 10.6084/m9.figshare.20522806.v1
title: Maximum temperature (PISCOt v1.2)

description: Maximum air temperature from PISCOt v1.2. (i) Monthly means (normals) are provided in one file. (ii) Daily values are divided per year from 1981 to 2020. (i) and (ii) are the results from the climate-aided interpolation at normal- and daily-scale, respectively.
DOI: 10.5281/zenodo.7433252
title: EOSC Nordic WP4 FAIR incentives interview data

description: Interview data were collected and analysed as part of EOSC Nordic WP4 FAIR. The main goal was to have input about the challenges and incentives of FAIRification of the research data from different stakeholder groups (researchers, data stewards/research support at institutions, representatives of research administration, and funders)
description: This deliverable is approved by the EC on 2nd March 2023. The EOSC-Nordic project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 857652.
DOI: 10.5281/zenodo.7433253
title: EOSC Nordic WP4 FAIR incentives interview data

description: Interview data were collected and analysed as part of EOSC Nordic WP4 FAIR. The main goal was to have input about the challenges and incentives of FAIRification of the research data from different stakeholder groups (researchers, data stewards/research support at institutions, representatives of research administration, and funders)
description: This deliverable is approved by the EC on 2nd March 2023. The EOSC-Nordic project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 857652.
DOI: 10.6084/m9.figshare.20533715
title: Minimum temperature (PISCOt v1.2)

description: Minimum air temperature from PISCOt v1.2. (i) Monthly means (normals) are provided in one file. (ii) Daily values are divided per year from 1981 to 2020. (i) and (ii) are the results from the climate-aided interpolation at normal- and daily-scale, respectively
DOI: 10.6084/m9.figshare.20533715.v1
title: Minimum temperature (PISCOt v1.2)

description: Minimum air temperature from PISCOt v1.2. (i) Monthly means (normals) are provided in one file. (ii) Daily values are divided per year from 1981 to 2020. (i) and (ii) are the results from the climate-aided interpolation at normal- and daily-scale, respectively
DOI: 10.6084/m9.figshare.15167517
title: Spatial Covariables for PISCOt v1.2

description: Spatial covariables used in PISCOt v1.2: elevation (DEM), latitude (Y), longitude (X), topographic dissection index (TDI) and land surface temperature day (LST_DAY) and night (LST_NIGHT).
DOI: 10.6084/m9.figshare.15167517.v1
title: Spatial Covariables for PISCOt v1.2

description: Spatial covariables used in PISCOt v1.2: elevation (DEM), latitude (Y), longitude (X), topographic dissection index (TDI) and land surface temperature day (LST_DAY) and night (LST_NIGHT).
DOI: 10.6084/m9.figshare.22200001.v1
title: The impact of TLR2 and aging on the humoral immune response to Staphylococcus aureus bacteremia in mice

description: Data for "The impact of TLR2 and aging on the humoral immune response to Staphylococcus aureus bacteremia in mice"
DOI: 10.34740/kaggle/dsv/5809889
title: Elon Musk Tweets
DOI: 10.26183/1av4-6q89
title: Postnatal Psychosis- The recent experience of women in Australia dataset

description: This is a dataset of the semi-structured interviews contained in word documents of 10 women who had experience postnatal psychosis in the last 10 years and lived in Australia.

The dataset is sensitive and cannot be published openly. 
To discuss the data, please contact Diana Jefferies <D.Jefferies@westernsydney.edu.au> ORCID 0000-0001-5271-2569
DOI: 10.6084/m9.figshare.14329208
title: Weather stations used in PISCOt v1.2

description: List of weather stations used in PISCOt v1.2. The CSV file contains information on the code (ID), name (NAM), longitude (LON), latitude (LAT), elevation (ALT), and source (SRC) of weather stations.
DOI: 10.6084/m9.figshare.14329208.v1
title: Weather stations used in PISCOt v1.2

description: List of weather stations used in PISCOt v1.2. The CSV file contains information on the code (ID), name (NAM), longitude (LON), latitude (LAT), elevation (ALT), and source (SRC) of weather stations.
DOI: 10.6084/m9.figshare.23258669
title: Study on mitochondrial mass of immune cells in peripheral blood of elderly patients with bacterial infection

description: This study included 59 infection patients and 31 control groups, respectively. 59 bacterial infection patients aged 65-85 years from July 2021 to March 2022 were tested in Ningbo UB Medical Laboratory were selected as the research objects. Test data of patients clinically diagnosed with bacterial infection (including but not limited to <em>Staphylococcus aureus</em>,<em> Streptococcus pneumoniae</em>, <em>Streptococcus pyogenes</em> and <em>Escherichia coli</em>). Data exclusion criteria: (a) CD4+ cell count &lt;200 cells/μl; (b) Data of tumor patients. (c) Patients with viral infections, including AIDS. (d) Sample/patient with incomplete information (or test data). Control group: 31 healthy controls at the same stage, inclusion criteria: (a) No disease with physical examination data; (b) Age between 65-85 years old. The exclusion criteria were the same for the infection group. All the subjects’ samples support patients’ information, include years, gender, temperature, the value of N/L (neutrophil/lymphocyte), PCT (procalcitonin), WBC (white blood cells), CRP (C-reactive protein), TBil (total bilirubin), GPT (glutamic-pyruvic transaminase) and BNP (type B natriuretic peptide). The data utilized in this research was obtained from residual samples/blood specimens following routine examination. The study did not involve human subjects. Furthermore, it is not feasible to contact patients for obtaining their informed consent regarding the remaining specimen. It can be fully privacy protection, therefore, does not involve ethics and informed consent.
DOI: 10.6084/m9.figshare.23259260
title: Supplementary Material for: Risk Factors for Common Kidney Stones Are Correlated with Kidney Function Independent of Stone Composition

description: Background: Kidney stone type varies with age, sex, season, and medical conditions. Lower estimate glomerular filtration rate (eGFR) leads to changes in urine chemistry, and risk factors for kidney stones are thought to vary by stone type. We explore the association between eGFR, urine risk factors, and common stone compositions. Methods: This was a retrospective cohort study of 811 kidney stone patients seen at Yale Medicine between 1994-2021 with serum chemistries and 24-hour urine chemistries matched within one year of baseline stone analysis. Patients’ eGFR was calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2021 equation. Demographics and medical history were compared by Chi-squared tests. 24-hour urine chemistries and stone analyses were analyzed by one-way ANOVA. Linear regressions were performed to control for demographics, comorbidities, and stone composition. Results: With lower eGFR, the proportion of calcium stones declined while uric acid stones increased. On univariable analysis, lower eGFR was associated with lower urine pH, calcium, citrate, uric acid, magnesium, phosphorus, and ammonium. On multivariable analysis, controlling for age, sex, ethnicity, BMI, comorbidities, and stone type, these factors remained significant. Stone formers with lower eGFR had elevated supersaturation for uric acid, but reduced supersaturations for calcium-containing stones. Though urine oxalate was significant on univariable analysis, it was not on multivariable analysis. Discussion/Conclusion: Changes in urine parameters are strongly correlated with eGFR regardless of stone type. Renal function may play a key role in modulating kidney stone risk factors. Strategies to mitigate stone risk may need to vary with kidney function, especially when patient urine or stone composition data is unavailable.