cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7962335
title: Raw Particle Number Size-Distribution Data of twin-DMPS equipped with two CPCs for nanoparticle detection for SMEAR II station, Hyytiälä, Finland, Spring 2017

description: Raw size-Distribution data from twin-DMPS system (Aalto et al., 2001), where the nano-DMA (measuring up to 40 nm, short Hauke type DMA) is quipped with two detectors:<br> a TSI 3776 and a modified Airmodus A20 (Kangasluoma et al., 2015) Data acquired during in March-May 2017 at the SMEAR II station in Hyytiälä, Finland.<br> Data associated with the publication Stolzenburg, Laurila et al. (2023), Atmos. Meas. Techn., "Improved counting statistics of an ultrafine differential mobility particle size spectrometer system" Files DMYYDDMM_A20.Dat contain the raw DMPS data, with YYMMDD indicating the day of the measurement.<br> Data are provided alternating between data acquired with the nano-DMA and with the long-DMA, on a scan by scan basis.<br> First line of each scan cycle (for both DMAs) always indicates the start and end times of the voltage scan.<br> Second line gives the parameters related to the DMPS as given below:<br> (sheath flow in [l per min], aerosol flow in [l per min], DMA inner electrode diameter in [m], DMA outer electrode diameter in [m], DMA classification length in [m], other parameters)<br> Following lines give<br> (for long-DMA): set voltage at DMA [in V], concentration measured by TSI3772 in [per cm3]<br> (for nano_DMA): et voltage at DMA [in V], concentration measured by TSI 3776 in [per cm3], concentration measured by mod. Airmodus A20 in [per cm3] File dmps_data_format_specifier.text gives a conversion from voltage to diameter and indicates the measurement time at each voltage during the stepping of the DMPS.<br> Needs to be used to convert measured concentrations in counts per set-interval. Files GR_J_overview.xlsx gives size-distribution derived quantities during that campaign.<br> Header defines Date, Growth Rate and Formation Rate measured at different sizes [in nm] and by the two different CPCs connected to the nano-DMA.<br> Growth rates in [nm per h], formation rate in [per cm3 per s]. Other data related to the campaign can be obtained from the corresponding author upon reasonable request.<br> juha.kangasluoma@helsinki.fi References: Stolzenburg, Laurila et al. "Improved counting statistics of an ultrafine differential mobility particle size spectrometer system",<br> Atmos. Meas. Techn., in press, 2023 Aalto et al., "Physical characterization of aerosol particles during nucleation events",<br> Tellus B, vol. 53, pp. 344-358, 2001 Kangasluoma et al., "Sub-3 nm Particle Detection with Commercial TSI 3772 and Airmodus A20 Fine Condensation Particle Counters",<br> Aerosol Sci. Techn., vol. 49, pp. 674-681, 2015
DOI: 10.5281/zenodo.7962261
title: Single cell RNA sequencing and TCR profiling in CD4+ T cells of patients with giant cell arteritis

description: This upload contains 16 raw gene expression (GEX) datasets of 8 GCA patients (GCA1 to GCA8) and 8 healthy controls (C2 to C9) along with their corresponding TCR profiling (TCR) datasets. It also contains the metadata file from the integrated Seurat Object of the 16 datasets after processing it with Seurat v4.4
DOI: 10.5281/zenodo.7962260
title: Single cell RNA sequencing and TCR profiling in CD4+ T cells of patients with giant cell arteritis

description: This upload contains 16 raw gene expression (GEX) datasets of 8 GCA patients (GCA1 to GCA8) and 8 healthy controls (C2 to C9) along with their corresponding TCR profiling (TCR) datasets. It also contains the metadata file from the integrated Seurat Object of the 16 datasets after processing it with Seurat v4.4
DOI: 10.5281/zenodo.7962623
title: VNO Models

description: This folder contains the models used in the experiments described by the paper Vandermonde Neural Operators.
DOI: 10.5281/zenodo.7962622
title: VNO Models

description: This folder contains the models used in the experiments described by the paper Vandermonde Neural Operators.
DOI: 10.5281/zenodo.7962617
title: Sensed Data of Indoor Monitoring Framework in Aedes Architecture Forum Exhibition called Living Prototypes

description: The presented Dataset is part of an ongoing EU-funded project called Eco-Metabolistic Architecture at the Royal Danish Academy - CITA in Copenhagen, Denmark. The collected data is part of Indoor Monitoring Framework sensed data (temperature and humidity) stored in InfluxDB in CSV format for Living Prototype Exhibition at Aedes Forum in Berlin for a period of 35 days. The dataset can be used in InfluxDB and Grafana for visualization.
DOI: 10.5281/zenodo.7962616
title: Sensed Data of Indoor Monitoring Framework in Aedes Architecture Forum Exhibition called Living Prototypes

description: The presented Dataset is part of an ongoing EU-funded project called Eco-Metabolistic Architecture at the Royal Danish Academy - CITA in Copenhagen, Denmark. The collected data is part of Indoor Monitoring Framework sensed data (temperature and humidity) stored in InfluxDB in CSV format for Living Prototype Exhibition at Aedes Forum in Berlin for a period of 35 days. The dataset can be used in InfluxDB and Grafana for visualization.
DOI: 10.34740/kaggle/dsv/5754058
title: COVID Vaccination in World (updated daily)
DOI: 10.5517/ccdc.csd.cc2cz9zn
title: CCDC 2203882: Experimental Crystal Structure Determination

description: Related Article: Luke P. Skala, Charlotte L. Stern, Laura Bancroft, Casandra M. Moisanu, Chloe Pelkowski, Xavier Aguilar-Enriquez, Jeremy L. Swartz, Michael R. Wasielewski, William R. Dichtel|2023|Chem (Cell Press)|9|1208|doi:10.1016/j.chempr.2023.01.011
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.cc2czb0q
title: CCDC 2203883: Experimental Crystal Structure Determination

description: Related Article: Luke P. Skala, Charlotte L. Stern, Laura Bancroft, Casandra M. Moisanu, Chloe Pelkowski, Xavier Aguilar-Enriquez, Jeremy L. Swartz, Michael R. Wasielewski, William R. Dichtel|2023|Chem (Cell Press)|9|1208|doi:10.1016/j.chempr.2023.01.011
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.cc2czb1r
title: CCDC 2203884: Experimental Crystal Structure Determination

description: Related Article: Luke P. Skala, Charlotte L. Stern, Laura Bancroft, Casandra M. Moisanu, Chloe Pelkowski, Xavier Aguilar-Enriquez, Jeremy L. Swartz, Michael R. Wasielewski, William R. Dichtel|2023|Chem (Cell Press)|9|1208|doi:10.1016/j.chempr.2023.01.011
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.cc2czb3t
title: CCDC 2203886: Experimental Crystal Structure Determination

description: Related Article: Luke P. Skala, Charlotte L. Stern, Laura Bancroft, Casandra M. Moisanu, Chloe Pelkowski, Xavier Aguilar-Enriquez, Jeremy L. Swartz, Michael R. Wasielewski, William R. Dichtel|2023|Chem (Cell Press)|9|1208|doi:10.1016/j.chempr.2023.01.011
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.cc2czb4v
title: CCDC 2203887: Experimental Crystal Structure Determination

description: Related Article: Luke P. Skala, Charlotte L. Stern, Laura Bancroft, Casandra M. Moisanu, Chloe Pelkowski, Xavier Aguilar-Enriquez, Jeremy L. Swartz, Michael R. Wasielewski, William R. Dichtel|2023|Chem (Cell Press)|9|1208|doi:10.1016/j.chempr.2023.01.011
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.cc2czn9b
title: CCDC 2204202: Experimental Crystal Structure Determination

description: Related Article: Luke P. Skala, Charlotte L. Stern, Laura Bancroft, Casandra M. Moisanu, Chloe Pelkowski, Xavier Aguilar-Enriquez, Jeremy L. Swartz, Michael R. Wasielewski, William R. Dichtel|2023|Chem (Cell Press)|9|1208|doi:10.1016/j.chempr.2023.01.011
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: 10.5281/zenodo.7961758
title: Annotated images of white and red cabbage

description: This dataset contains annotated images of red and white cabbage. The images were taken on 24 August 2022 in a field in the Stuttgart region (Germany). On this day, 3 image series "morgens" (10 AM), "mittags" (1 PM) and "abends" (7 PM) took place. In the pictures, all clearly visible cabbages are annotated. The annotation was done with the VGG Image Annotator by Abhishek Dutta and Andrew Zisserman (2019). Feel free to use this dataset to train or validate your network.
DOI: 10.5281/zenodo.7961757
title: Annotated images of white and red cabbage

description: This dataset contains annotated images of red and white cabbage. The images were taken on 24 August 2022 in a field in the Stuttgart region (Germany). On this day, 3 image series "morgens" (10 AM), "mittags" (1 PM) and "abends" (7 PM) took place. In the pictures, all clearly visible cabbages are annotated. The annotation was done with the VGG Image Annotator by Abhishek Dutta and Andrew Zisserman (2019). Feel free to use this dataset to train or validate your network.
DOI: 10.5517/ccdc.csd.cc2dkl9w
title: CCDC 2221438: Experimental Crystal Structure Determination

description: Related Article: Man Li, Yang Li, Xin Li, Fang Wang, Ying‐Feng Han|2023|Chin.J.Chem.|41|1431|doi:10.1002/cjoc.202300026
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: 10.15784/601693
title: Concentration and isotopic composition of atmospheric N2O over the last century

description: We have reconstructed the atmospheric N2O mole fraction and its isotopic composition by combining data from ice cores, firn air, and atmospheric samples. The mole fraction reconstruction extends back to 1000 CE using ice cores, firn air, and atmospheric sampling; and the isotopic reconstruction extends back to 1900 CE using only firn air data. We have incorporated both newly measured and previously published data. We present new data for the mole fraction, d15Nbulk, d18O, and d15NSP values from the Styx (East Antarctica) firn air, and mole fraction from the North Greenland Eemian Ice drilling Project (NEEM) firn air. We have used published records from the Styx and NEEM ice cores, direct atmospheric measurements from the NOAA global sampling network, and firn air data, giving a total of 11 sites for N2O mole fraction, 12 sites for d15Nbulk, 11 sites for d18O, and 8 sites for d15NSP values.
DOI: 10.25935/ayzp-1833
title: Bursts of Auroral Kilometric Radiation individually selected from Wind/WAVES data (1999-2004)

description: This event list contains start and end times for automatically detected bursts of Auroral Kilometric Radiation (AKR), extracted from Wind/WAVES data. Also provided are the upper and lower frequency limits as a function of time within the burst, and parameters describing spacecraft location. The burst list covers Wind/WAVES data from 1995-2004 inclusive.
DOI: 10.13120/dd1ffcfb-38be-4a9a-98d7-2c34a514438f
title: Baltic Sea - Contaminants aggregated datasets 1974/2021 v2022
title: Baltic_Sea_Contaminants_aggregated_datasets_1974/2021_v2022

description: EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on potential hazardous substances, despite the fact that some data might not be related to pollution (e.g. collected by deep corer). Temperature, salinity and additional parameters are included when available. It covers the Baltic Sea. Data were harmonised and validated by the ‘Swedish Meteorological and Hydrological Institute (SMHI)’ in Sweden. The dataset contains water, sediment and biota profiles. The temporal coverage is 1987–2021 for water measurements, 1974–2021 for sediment measurements and 1998-2021 for biota measurements. Regional datasets concerning contaminants are automatically harvested and the resulting collections are harmonised and validated using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.6092/8b52e8d7-dc92-4305-9337-7634a5cae3f4). Parameter names are based on P01 vocabulary, which relates to BODC Parameter Usage Vocabulary and is available at: https://vocab.nerc.ac.uk/search_nvs/P01/. The harmonised dataset can be downloaded as as an ODV spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported into ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV). In addition, the same dataset is offered also as a txt file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms into subcomponents (substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications (e.g. LibreOffice Calc).
DOI: 10.6084/m9.figshare.23045909
title: Supplementary Material for: Unchanged Characteristics and Survival among Critically Ill COVID-19 Patients during First, Second, and Third Waves: A Prospective Observational Cohort

description: <b><i>Background:</i></b> This study was carried out to compare characteristics and outcomes in patients with acute respiratory failure related to COVID-19 during first, second, and third waves. <b><i>Methods:</i></b> We included consecutive adults admitted to the intensive care unit between March 2020 and July 2021. We compared three groups defined by the epidemic intake phase: waves 1 (W1), 2 (W2), and 3 (W3). <b><i>Results:</i></b> We included 289 patients. Two hundred and eight (72%) patients were men with a median age of 63 years (IQR: 54–72), of whom 68 (23.6%) died in hospital. High-flow nasal oxygen (HFNO) was inversely associated with the need for invasive mechanical ventilation (MV) in multivariate analysis (<i>p</i> = 0.003) but not dexamethasone (<i>p</i> = 0.25). The day-90 mortality rate did not vary from W1 (27.4%) to W2 (23.9%) and W3 (22%), <i>p</i> = 0.67. By multivariate analysis, older age (odds ratio [OR]: 0.94/year, <i>p</i> &lt; 0.001), immunodeficiency (OR: 0.33, <i>p</i> = 0.04), acute kidney injury (OR: 0.26, <i>p</i> &lt; 0.001), and invasive MV (OR: 0.13, <i>p</i> &lt; 0.001) were inversely associated with higher day-90 survival as opposed to the use of intermediate heparin thromboprophylaxis dose (OR: 3.21, <i>p</i> = 0.006). HFNO use and dexamethasone were not associated with higher day-90 survival (<i>p</i> = 0.24 and <i>p</i> = 0.56, respectively). <b><i>Conclusions:</i></b> In patients with acute respiratory failure due to COVID-19, survival did not change between first, second, and third waves while the use of invasive MV decreased. HFNO or intravenous steroids were not associated with better outcomes, whereas the use of intermediate dose of heparin for thromboprophylaxis was associated with higher day-90 survival. Larger multicentric studies are needed to confirm our findings.
DOI: 10.6084/m9.figshare.23045909.v1
title: Supplementary Material for: Unchanged Characteristics and Survival among Critically Ill COVID-19 Patients during First, Second, and Third Waves: A Prospective Observational Cohort

description: <b><i>Background:</i></b> This study was carried out to compare characteristics and outcomes in patients with acute respiratory failure related to COVID-19 during first, second, and third waves. <b><i>Methods:</i></b> We included consecutive adults admitted to the intensive care unit between March 2020 and July 2021. We compared three groups defined by the epidemic intake phase: waves 1 (W1), 2 (W2), and 3 (W3). <b><i>Results:</i></b> We included 289 patients. Two hundred and eight (72%) patients were men with a median age of 63 years (IQR: 54–72), of whom 68 (23.6%) died in hospital. High-flow nasal oxygen (HFNO) was inversely associated with the need for invasive mechanical ventilation (MV) in multivariate analysis (<i>p</i> = 0.003) but not dexamethasone (<i>p</i> = 0.25). The day-90 mortality rate did not vary from W1 (27.4%) to W2 (23.9%) and W3 (22%), <i>p</i> = 0.67. By multivariate analysis, older age (odds ratio [OR]: 0.94/year, <i>p</i> &lt; 0.001), immunodeficiency (OR: 0.33, <i>p</i> = 0.04), acute kidney injury (OR: 0.26, <i>p</i> &lt; 0.001), and invasive MV (OR: 0.13, <i>p</i> &lt; 0.001) were inversely associated with higher day-90 survival as opposed to the use of intermediate heparin thromboprophylaxis dose (OR: 3.21, <i>p</i> = 0.006). HFNO use and dexamethasone were not associated with higher day-90 survival (<i>p</i> = 0.24 and <i>p</i> = 0.56, respectively). <b><i>Conclusions:</i></b> In patients with acute respiratory failure due to COVID-19, survival did not change between first, second, and third waves while the use of invasive MV decreased. HFNO or intravenous steroids were not associated with better outcomes, whereas the use of intermediate dose of heparin for thromboprophylaxis was associated with higher day-90 survival. Larger multicentric studies are needed to confirm our findings.
DOI: 10.5281/zenodo.7416065
title: Supplementary Materials for: Agricultural expansion raises groundwater and increases flooding in the South American plains

description: The present are the materials to reproduce the results obtained in the manuscript: "Agricultural expansion raises groundwater and increases flooding in the South American plains."
DOI: 10.5281/zenodo.7416064
title: Supplementary Materials for: Agricultural expansion raises groundwater and increases flooding in the South American plains

description: The present are the materials to reproduce the results obtained in the manuscript: "Agricultural expansion raises groundwater and increases flooding in the South American plains."
DOI: 10.5281/zenodo.7418382
title: Supplementary Materials for: Agricultural expansion raises groundwater and increases flooding in the South American plains

description: The present are the materials to reproduce the results obtained in the manuscript: "Agricultural expansion raises groundwater and increases flooding in the South American plains."
DOI: 10.5281/zenodo.7746864
title: Supplementary Materials for: Agricultural expansion raises groundwater and increases flooding in the South American plains

description: The present are the materials to reproduce the results obtained in the manuscript: "Agricultural expansion raises groundwater and increases flooding in the South American plains."
DOI: 10.5281/zenodo.7945117
title: Supplementary Materials for: Agricultural expansion raises groundwater and increases flooding in the South American plains

description: The present are the materials to reproduce the results obtained in the manuscript: "Agricultural expansion raises groundwater and increases flooding in the South American plains."
DOI: 10.5281/zenodo.7962455
title: Supplementary Materials for: Agricultural expansion raises groundwater and increases flooding in the South American plains

description: The present are the materials to reproduce the results obtained in the manuscript: "Agricultural expansion raises groundwater and increases flooding in the South American plains."
DOI: 10.5066/p9kn8rg0
title: UAS imagery and related products collected for structure-from-motion work obtained by using uncrewed aerial systems from an erosion prone area north of Medina River Natural Area near San Antonio, Texas, August 14, 2019, and July 8, 2022

description: Uncrewed aerial system (UAS) flights were conducted by the U.S. Geological Survey at an edge-of-field site located north of Medina River Natural Area near San Antonio, Texas on August 14, 2019, and July 8, 2022, to support efforts aimed at estimating edge-of-field erosion and potential sediment loading into the Medina River near San Antonio. Data provided here include imagery obtained during the flights, and ground control point (GCP) information. Additional products including automatically generated point clouds, digital surface models (DSMs), and orthomosaic imagery produced using structure-from-motion (SfM) techniques are part of this data release.