cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35097/1932
title: Resonant STXM-CT on single wire extracted from Pt/Rh gauzes treated under ammonia oxidation conditions for 50 days

description: This tomographic scanning transmission X-ray microscopy (STXM-CT) data was acquired at the P06 microprobe beamline of the PETRA III (Deutsches-Elektronen Synchrotron DESY, Hamburg). The sample measured during this experiment was a single wire extracted from the Pt/Rh gauzes aged under industrial ammonia oxidation conditions for 50 days of time on stream. A detailed description of the dataset can be found in the corresponding readme file and its associated publication.
description: This tomographic scanning transmission X-ray microscopy (STXM-CT) data was acquired at the P06 microprobe beamline of the PETRA III (Deutsches-Elektronen Synchrotron DESY, Hamburg). The sample measured during this experiment was a single wire extracted from the Pt/Rh gauzes aged under industrial ammonia oxidation conditions for 50 days of time on stream. A detailed description of the dataset can be found in the corresponding readme file and its associated publication.
description: In this experiment, ex situ STXM-CT was performed on single wires, with angles ranging from 0 to 360 degrees. The single wires were extracted from aged Pt/Rh gauzes treated under industrial ammonia oxidation conditions for 50 days of reaction time. The data available here contains the final and processed tomographic volumes of the wire measured at two energies above and below the Rh K-edge, at 23300 eV and 23208 eV respectively. Each 3D volume has been stacked as slices in each TIFF file provided here.
DOI: 10.6084/m9.figshare.12978822.v1
title: Additional file 6 of Interaction of zinc and IAA alleviate aluminum-induced damage on photosystems via promoting proton motive force and reducing proton gradient in alfalfa

description: Additional file 6 Table S1. Genes with differential expression in alfalfa leaves between normal seedlings and apical buds removed seedlings.
DOI: 10.6084/m9.figshare.12978825
title: Additional file 7 of Interaction of zinc and IAA alleviate aluminum-induced damage on photosystems via promoting proton motive force and reducing proton gradient in alfalfa

description: Additional file 7 Table S2. Differential expression gens involved in energy production and conversion are identified with a FDR &lt; 0.05 and log2|FC| &gt; =1 from leaves of normal seedlings and buds removed seedlings.
DOI: 10.6084/m9.figshare.12978825.v1
title: Additional file 7 of Interaction of zinc and IAA alleviate aluminum-induced damage on photosystems via promoting proton motive force and reducing proton gradient in alfalfa

description: Additional file 7 Table S2. Differential expression gens involved in energy production and conversion are identified with a FDR &lt; 0.05 and log2|FC| &gt; =1 from leaves of normal seedlings and buds removed seedlings.
DOI: 10.57768/3wev-s190
title: Embargo

description: xxx
DOI: 10.6084/m9.figshare.25264894
title: Cupressus gigantea genome annotation

description: Gff3 file of high-confidence genes in Cupressus gigantea
DOI: 10.34740/kaggle/dsv/7676506
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.25037596
title: Dataset_S1.xlsx from The causes of species richness patterns among clades

description: Two major types of species richness patterns are spatial (e.g. the latitudinal diversity gradient) and clade-based (e.g. the dominance of angiosperms among plants). Studies have debated whether clade-based richness patterns are explained primarily by larger clades having faster rates of species accumulation (speciation minus extinction over time; diversification-rate hypothesis) or by simply being older (clade-age hypothesis). However, these studies typically compared named clades of the same taxonomic rank, such as phyla and families. This study design is potentially biased against the clade-age hypothesis, since clades of the same rank may be more similar in age than randomly selected clades. Here, we analyse the causes of clade-based richness patterns across the tree of life using a large-scale, time-calibrated, species-level phylogeny and random sampling of clades. We find that within major groups of organisms (animals, plants, fungi, bacteria, archaeans), richness patterns are most strongly related to clade age. Nevertheless, weaker relationships with diversification rates are present in animals and plants. These overall results contrast with similar large-scale analyses across life based on named clades, which showed little effect of clade age on richness. More broadly, these results help support the overall importance of time for explaining diverse types of species richness patterns.
DOI: 10.6084/m9.figshare.25037596.v1
title: Dataset_S1.xlsx from The causes of species richness patterns among clades

description: Two major types of species richness patterns are spatial (e.g. the latitudinal diversity gradient) and clade-based (e.g. the dominance of angiosperms among plants). Studies have debated whether clade-based richness patterns are explained primarily by larger clades having faster rates of species accumulation (speciation minus extinction over time; diversification-rate hypothesis) or by simply being older (clade-age hypothesis). However, these studies typically compared named clades of the same taxonomic rank, such as phyla and families. This study design is potentially biased against the clade-age hypothesis, since clades of the same rank may be more similar in age than randomly selected clades. Here, we analyse the causes of clade-based richness patterns across the tree of life using a large-scale, time-calibrated, species-level phylogeny and random sampling of clades. We find that within major groups of organisms (animals, plants, fungi, bacteria, archaeans), richness patterns are most strongly related to clade age. Nevertheless, weaker relationships with diversification rates are present in animals and plants. These overall results contrast with similar large-scale analyses across life based on named clades, which showed little effect of clade age on richness. More broadly, these results help support the overall importance of time for explaining diverse types of species richness patterns.
DOI: 10.57768/0sst-er26
title: Restricted access

description: xxx
description: xxx
DOI: 10.60656/a4de639f051f47c9
title: Custom collection of radar data from Hyytiälä between 1 Jan 2018 and 31 Dec 2023
DOI: 10.5281/zenodo.10691393
title: Dataset for "Locally-formed thin supercooled liquid stratiform clouds on mid-level moisture-advection layers as observed by ground- based lidars, radar and radiosondes at a 30°N plain site"

description: This is the dataset used in the paper "Locally-formed thin supercooled liquid stratiform clouds on mid-level moisture-advection layers as observed by ground- based lidars, radar and radiosondes at a 30°N plain site"
DOI: 10.6084/m9.figshare.11406186
title: MOESM8 of A comprehensive proteomics profiling identifies NRP1 as a novel identity marker of human bone marrow mesenchymal stromal cell-derived small extracellular vesicles

description: Additional file 8: Table S5. (a) The most enriched pathway for the analysis of the cellular and molecular biological category, (b) The second most enriched pathway for the analysis of the cellular and molecular biological category, (c) The most enriched pathway for the physiological development and functions biological category, (d) The second most enriched pathway for the physiological development and functions biological category.
DOI: 10.6084/m9.figshare.11406186.v1
title: MOESM8 of A comprehensive proteomics profiling identifies NRP1 as a novel identity marker of human bone marrow mesenchymal stromal cell-derived small extracellular vesicles

description: Additional file 8: Table S5. (a) The most enriched pathway for the analysis of the cellular and molecular biological category, (b) The second most enriched pathway for the analysis of the cellular and molecular biological category, (c) The most enriched pathway for the physiological development and functions biological category, (d) The second most enriched pathway for the physiological development and functions biological category.
DOI: 10.6084/m9.figshare.25041965
title: Establishing short-term occupational exposure limits (STELs) for sensory irritants using predictive and <i>in silico</i> respiratory rate depression (RD<sub>50</sub>) models

description: Sensory irritation is a health endpoint that serves as the critical effect basis for many occupational exposure limits (OELs). Schaper 1993 described a significant relationship with high correlation between the measured exposure concentration producing a 50% respiratory rate decrease (RD<sub>50</sub>) in a standard rodent assay and the American Conference of Governmental Industrial Hygienists (ACGIH®) Threshold Limit Values (TLVs®) as time-weighted averages (TWAs) for airborne chemical irritants. The results demonstrated the potential use of the RD<sub>50</sub> values for deriving full-shift TWA OELs protective of irritant responses. However, there remains a need to develop a similar predictive model for deriving workplace short-term exposure limits (STELs) for sensory irritants. The aim of our study was to establish a model capable of correlating the relationship between RD<sub>50</sub> values and published STELs to prospectively derive short-term exposure OELs for sensory irritants. A National Toxicology Program (NTP) database that included chemicals with both an RD<sub>50</sub> and established STELs was used to fit several linear regression models. A strong correlation between RD<sub>50</sub>s and STELs was identified, with a predictive equation of ln (STEL) (ppm) = 0.86 * ln (RD<sub>50</sub>) (ppm) − 2.42 and an R<sup>2</sup> value of 0.75. This model supports the use of RD<sub>50</sub>s to derive STELs for chemicals without existing exposure recommendations. Further, for data-poor sensory irritants, predicted RD<sub>50</sub> values from <i>in silico</i> quantitative structure activity relationship (QSAR) models can be used to derive STELs. Hence, <i>in silico</i> methods and statistical modeling can present a path forward for establishing reliable OELs and improving worker safety and health.
DOI: 10.6084/m9.figshare.25048676
title: Lysosomal BK channels facilitate silica-induced inflammation in macrophages

description: Lysosomal ion channels are proposed therapeutic targets for a number of diseases, including those driven by NLRP3 inflammasome-mediated inflammation. Here, the specific role of the lysosomal big conductance Ca<sup>2+</sup>-activated K<sup>+</sup> (BK) channel was evaluated in a silica model of inflammation in murine macrophages. A specific-inhibitor of BK channel function, paxilline (PAX), and activators NS11021 and NS1619 were utilized to evaluate the role of lysosomal BK channel activity in silica-induced lysosomal membrane permeabilization (LMP) and NLRP3 inflammasome activation resulting in IL-1β release. Murine macrophages were exposed <i>in vitro</i> to crystalline silica following pretreatment with BK channel inhibitors or activators and LMP, cell death, and IL-1β release were assessed. In addition, the effect of PAX treatment on silica-induced cytosolic K<sup>+</sup> decrease was measured. Finally, the effects of BK channel modifiers on lysosomal pH, proteolytic activity, and cholesterol transport were also evaluated. PAX pretreatment significantly attenuated silica-induced cell death and IL-1β release. PAX caused an increase in lysosomal pH and decrease in lysosomal proteolytic activity. PAX also caused a significant accumulation of lysosomal cholesterol. BK channel activators NS11021 and NS1619 increased silica-induced cell death and IL-1β release. BK channel activation also caused a decrease in lysosomal pH and increase in lysosomal proteolytic function as well as a decrease in cholesterol accumulation. Taken together, these results demonstrate that inhibiting lysosomal BK channel activity with PAX effectively reduced silica-induced cell death and IL-1β release. Blocking cytosolic K<sup>+</sup> entry into the lysosome prevented LMP through the decrease of lysosomal acidification and proteolytic function and increase in lysosomal cholesterol.
DOI: 10.6084/m9.figshare.25048676.v1
title: Lysosomal BK channels facilitate silica-induced inflammation in macrophages

description: Lysosomal ion channels are proposed therapeutic targets for a number of diseases, including those driven by NLRP3 inflammasome-mediated inflammation. Here, the specific role of the lysosomal big conductance Ca<sup>2+</sup>-activated K<sup>+</sup> (BK) channel was evaluated in a silica model of inflammation in murine macrophages. A specific-inhibitor of BK channel function, paxilline (PAX), and activators NS11021 and NS1619 were utilized to evaluate the role of lysosomal BK channel activity in silica-induced lysosomal membrane permeabilization (LMP) and NLRP3 inflammasome activation resulting in IL-1β release. Murine macrophages were exposed <i>in vitro</i> to crystalline silica following pretreatment with BK channel inhibitors or activators and LMP, cell death, and IL-1β release were assessed. In addition, the effect of PAX treatment on silica-induced cytosolic K<sup>+</sup> decrease was measured. Finally, the effects of BK channel modifiers on lysosomal pH, proteolytic activity, and cholesterol transport were also evaluated. PAX pretreatment significantly attenuated silica-induced cell death and IL-1β release. PAX caused an increase in lysosomal pH and decrease in lysosomal proteolytic activity. PAX also caused a significant accumulation of lysosomal cholesterol. BK channel activators NS11021 and NS1619 increased silica-induced cell death and IL-1β release. BK channel activation also caused a decrease in lysosomal pH and increase in lysosomal proteolytic function as well as a decrease in cholesterol accumulation. Taken together, these results demonstrate that inhibiting lysosomal BK channel activity with PAX effectively reduced silica-induced cell death and IL-1β release. Blocking cytosolic K<sup>+</sup> entry into the lysosome prevented LMP through the decrease of lysosomal acidification and proteolytic function and increase in lysosomal cholesterol.
DOI: 10.6084/m9.figshare.25041965.v1
title: Establishing short-term occupational exposure limits (STELs) for sensory irritants using predictive and <i>in silico</i> respiratory rate depression (RD<sub>50</sub>) models

description: Sensory irritation is a health endpoint that serves as the critical effect basis for many occupational exposure limits (OELs). Schaper 1993 described a significant relationship with high correlation between the measured exposure concentration producing a 50% respiratory rate decrease (RD<sub>50</sub>) in a standard rodent assay and the American Conference of Governmental Industrial Hygienists (ACGIH®) Threshold Limit Values (TLVs®) as time-weighted averages (TWAs) for airborne chemical irritants. The results demonstrated the potential use of the RD<sub>50</sub> values for deriving full-shift TWA OELs protective of irritant responses. However, there remains a need to develop a similar predictive model for deriving workplace short-term exposure limits (STELs) for sensory irritants. The aim of our study was to establish a model capable of correlating the relationship between RD<sub>50</sub> values and published STELs to prospectively derive short-term exposure OELs for sensory irritants. A National Toxicology Program (NTP) database that included chemicals with both an RD<sub>50</sub> and established STELs was used to fit several linear regression models. A strong correlation between RD<sub>50</sub>s and STELs was identified, with a predictive equation of ln (STEL) (ppm) = 0.86 * ln (RD<sub>50</sub>) (ppm) − 2.42 and an R<sup>2</sup> value of 0.75. This model supports the use of RD<sub>50</sub>s to derive STELs for chemicals without existing exposure recommendations. Further, for data-poor sensory irritants, predicted RD<sub>50</sub> values from <i>in silico</i> quantitative structure activity relationship (QSAR) models can be used to derive STELs. Hence, <i>in silico</i> methods and statistical modeling can present a path forward for establishing reliable OELs and improving worker safety and health.
DOI: 10.11583/dtu.22155284.v1
title: Dataset for journal article "Cold Water Extraction for determination of the free alkali metal content in blended cement pastes"

description: Supplementary material for the journal article "Cold Water Extraction for determination of the free alkali metal content in blended cement pastes". Raw data and detailed calculations of different tests performed on blended cement pastes are shown: thermogravimetric analysis (TGA), quantitative X-ray diffraction (QXRD) and Cold Water Extraction (CWE).
<br>
This dataset contains the following files:
- CWE on blended cement pastes (Calculations_CWE_SCMs.xlsx)
- CWE on plain cement pastes with different w/c (Calculations_CWE_Influence of w2c.xlsx)
- TGA results on pastes (Results_TGA.xlsx)
- QXRD (Rietveld) results on pastes (Results_QXRD.xlsx)
DOI: 10.11583/dtu.22155284
title: Dataset for journal article "Cold Water Extraction for determination of the free alkali metal content in blended cement pastes"

description: Supplementary material for the journal article "Cold Water Extraction for determination of the free alkali metal content in blended cement pastes". The files generally contain raw data and calculations.
<br>
This dataset contains the following files:
- CWE on blended cement pastes (Calculations_CWE_SCMs.xlsx)
- CWE on plain cement pastes with different w/c (Calculations_CWE_Influence of w2c.xlsx)
- TGA results on pastes (Results_TGA.xlsx)
- QXRD (Rietveld) results on pastes (Results_QXRD.xlsx)
- Water and Available alkalis as per ASTM C114 and C311 respectively (Water+Available alkalis.xlsx)
- R<sup>3</sup> bound water and portlandite consumption at 7 days vs. relative compressive strength (R3_BW+CH_7 days.xlsx)
- R<sup>3</sup> bound water from 7 to 35 days (R3_BW_7 to 35 days.xlsx)
- Portlandite consumption (CH_consumption.xlsx)
DOI: 10.11583/dtu.22155284.v2
title: Dataset for journal article "Cold Water Extraction for determination of the free alkali metal content in blended cement pastes"

description: Supplementary material for the journal article "Cold Water Extraction for determination of the free alkali metal content in blended cement pastes". The files generally contain raw data and calculations.
<br>
This dataset contains the following files:
- CWE on blended cement pastes (Calculations_CWE_SCMs.xlsx)
- CWE on plain cement pastes with different w/c (Calculations_CWE_Influence of w2c.xlsx)
- TGA results on pastes (Results_TGA.xlsx)
- QXRD (Rietveld) results on pastes (Results_QXRD.xlsx)
- Water and Available alkalis as per ASTM C114 and C311 respectively (Water+Available alkalis.xlsx)
- R<sup>3</sup> bound water and portlandite consumption at 7 days vs. relative compressive strength (R3_BW+CH_7 days.xlsx)
- R<sup>3</sup> bound water from 7 to 35 days (R3_BW_7 to 35 days.xlsx)
- Portlandite consumption (CH_consumption.xlsx)
DOI: 10.11583/dtu.23388200
title: Dataset for journal article "Relationships Between Chloride Migration, Bulk Electrical Conductivity and Formation Factor Across a Wide Range of Blended Cements"

description: Supplementary material for the journal article "Relationships Between Chloride Migration, Bulk Electrical Conductivity and Formation Factor Across a Wide Range of Blended Cements". The files contain raw data and calculations. <br> This dataset contains the following files: - Comparison between paste and concrete for bulk electrical conductivity and chloride migration coefficient (Comparison paste and concrete.xlsx) - Chloride migration results, bulk electrical conductivity and pore solution conductivity on paste (Migration_and_conductivities_Paste.xlsx) - Comparison between the SCM reactivity and chloride migration (R3_vs_Dnssm.xlsx)
DOI: 10.11583/dtu.23388200.v1
title: Dataset for journal article "Relationships Between Chloride Migration, Bulk Electrical Conductivity and Formation Factor Across a Wide Range of Blended Cements"

description: Supplementary material for the journal article "Relationships Between Chloride Migration, Bulk Electrical Conductivity and Formation Factor Across a Wide Range of Blended Cements". The files contain raw data and calculations.
<br>
This dataset contains the following files:
- Comparison between paste and concrete for bulk electrical conductivity and chloride migration coefficient (Comparison paste and concrete.xlsx)
- Chloride migration results, bulk electrical conductivity and pore solution conductivity on paste (Migration_and_conductivities_Paste.xlsx)
- Comparison between the SCM reactivity and chloride migration (R3_vs_Dnssm.xlsx)
DOI: 10.5281/zenodo.10691455
title: Anthropogenic Fraction for MACv2 aerosol climatology

description: This dataset offers convenient access to the anthropogenic fraction of fine-mode aerosol optical depth for the study "Constraining Effects of Aerosol-Cloud Interaction by Accounting for Coupling between Cloud and Land Surface." It is based on the MACv2 aerosol climatology, which can be accessed via the following FTP link: ftp://ftp-projects.zmaw.de/aerocom/climatology/MACv2_2018/. The creator of this dataset did not participate in the development of the original MACv2 climatology. Instead, this dataset is compiled to serve as a reference for the specified study. For comprehensive details on the MACv2 product and its methodologies, please refer to the following publications: 

S. Kinne, The MACv2 aerosol climatology. Tellus B: Chemical and Physical Meteorology 71, 1-21 (2019).

B. Stevens, S. Fiedler, S. Kinne, K. Peters, S. Rast, J. Müsse, S. J. Smith, T. Mauritsen, MACv2-SP: A parameterization of anthropogenic aerosol optical properties and an associated Twomey effect for use in CMIP6. Geoscientific Model Development 10, 433-452 (2017).
DOI: 10.5281/zenodo.10691456
title: Anthropogenic Fraction for MACv2 aerosol climatology

description: This dataset offers convenient access to the anthropogenic fraction of fine-mode aerosol optical depth for the study "Constraining Effects of Aerosol-Cloud Interaction by Accounting for Coupling between Cloud and Land Surface." It is based on the MACv2 aerosol climatology, which can be accessed via the following FTP link: ftp://ftp-projects.zmaw.de/aerocom/climatology/MACv2_2018/. The creator of this dataset did not participate in the development of the original MACv2 climatology. Instead, this dataset is compiled to serve as a reference for the specified study. For comprehensive details on the MACv2 product and its methodologies, please refer to the following publications: 

S. Kinne, The MACv2 aerosol climatology. Tellus B: Chemical and Physical Meteorology 71, 1-21 (2019).

B. Stevens, S. Fiedler, S. Kinne, K. Peters, S. Rast, J. Müsse, S. J. Smith, T. Mauritsen, MACv2-SP: A parameterization of anthropogenic aerosol optical properties and an associated Twomey effect for use in CMIP6. Geoscientific Model Development 10, 433-452 (2017).