cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7270234
title: Compilation of trace metal (Cu, Cd) threshold concentrations for phytoplankton in open and coastal oceans

description: This data compilation contains previously published threshold concentrations of copper and cadmium of phytoplankton in open and coastal oceans. The data was recalculated to nmol/L for consistency, assuming the following molar masses of copper and cadmium as 63.546 and 112.411, respectively, and salinity as 1.025 kg/L. The temperature and salinity provided by the authors were also included, in case there is a desire for future users to utilise different conversion methods to recalculate original data. Only data with information on whether the authors measured the trace metal concentrations in open or coastal marine environments were included, along with the name of the phytoplankton. The oceans were divided into geographical sections, namely the Atlantic Ocean, Indian Ocean, Pacific Ocean and Southern Ocean, and subsequently further subdivided according to the information authors have given in their publications. In this context, several chemically diverse seas were included in geographical regions in order to limit the number of broad ocean regimes. Chemically diverse sub-regimens were, however, considered within each geographical grouping.
description: {"references": ["Anu, P.R., Bijoy Nandan, S., Jayachandran, P.R. & Don Xavier, N.D. 2016. Toxicity effects of copper on the marine diatom, Chaetoceros calcitrans. Regional Studies in Marine Science. 8:498\u2013504.", "Debelius, B., Forja, J.M., del Valls, \u00c1. & Lubi\u00e1n, L.M. 2010. Toxic effect of copper on marine picophytoplankton populations isolated from different geographic locations. Scientia Marina. 74(1):133\u2013141.", "Echeveste, P., Agust\u00ed, S. & Tovar-S\u00e1nchez, A. 2012. Toxic thresholds of cadmium and lead to oceanic phytoplankton: Cell size and ocean basin-dependent effects. Environmental Toxicology and Chemistry. 31(8):1887\u20131894.", "Echeveste, P., Tovar-S\u00e1nchez, A. & Agust\u00ed, S. 2014. Tolerance of polar phytoplankton communities to metals. Environmental Pollution. 185:188\u2013195.", "Muller, F.L.L., Jacquet, S. & Wilson, W.H. 2003. Biological factors regulating the chemical speciation of Cu, Zn, and Mn under different nutrient regimes in a marine mesocosm experiment. Limnology and Oceanography. 48(6):2289\u20132302.", "Pistocchi, R., Guerrini, F., Boni, L. & Balboni, V. 1997. Copper toxicity and carbohydrate production in the microalgae cylindrotheca fusiformis and gymnodinium sp. European Journal of Phycology. 32(2):125\u2013132.", "Quan, Q., Chen, Y., Ma, Q., Wang, F., Meng, X. & Wang, B. 2016. The impact of atmospheric deposition of cadmium on dominant algal species in the East China Sea. Journal of Ocean University of China. 15(2):271\u2013282."]}
DOI: 10.5281/zenodo.6802545
title: Potentially toxic trace metal (Cu, Cd) threshold concentrations for phytoplankton at given open and coastal locations

description: This data compilation contains previously published threshold concentrations of copper and cadmium of phytoplankton in open and coastal oceans. The data was recalculated to nmol/L for consistency, assuming the following molar masses of copper and cadmium as 63.546 and 112.411, respectively, and salinity as 1.025 kg/L. The temperature and salinity provided by the authors were also included, in case there is a desire for future users to utilise different conversion methods to recalculate original data. Only data with information on whether the authors measured the trace metal concentrations in open or coastal marine environments were included, along with the name of the phytoplankton. The oceans were divided into geographical sections, namely the Atlantic Ocean, Indian Ocean, Pacific Ocean and Southern Ocean, and subsequently further subdivided according to the information authors have given in their publications. In this context, several chemically diverse seas were included in geographical regions in order to limit the number of broad ocean regimes. Chemically diverse sub-regimens were, however, considered within each geographical grouping.
description: {"references": ["Anu, P.R., Bijoy Nandan, S., Jayachandran, P.R. & Don Xavier, N.D. 2016. Toxicity effects of copper on the marine diatom, Chaetoceros calcitrans. Regional Studies in Marine Science. 8:498\u2013504.", "Debelius, B., Forja, J.M., del Valls, \u00c1. & Lubi\u00e1n, L.M. 2010. Toxic effect of copper on marine picophytoplankton populations isolated from different geographic locations. Scientia Marina. 74(1):133\u2013141.", "Echeveste, P., Agust\u00ed, S. & Tovar-S\u00e1nchez, A. 2012. Toxic thresholds of cadmium and lead to oceanic phytoplankton: Cell size and ocean basin-dependent effects. Environmental Toxicology and Chemistry. 31(8):1887\u20131894.", "Echeveste, P., Tovar-S\u00e1nchez, A. & Agust\u00ed, S. 2014. Tolerance of polar phytoplankton communities to metals. Environmental Pollution. 185:188\u2013195.", "Muller, F.L.L., Jacquet, S. & Wilson, W.H. 2003. Biological factors regulating the chemical speciation of Cu, Zn, and Mn under different nutrient regimes in a marine mesocosm experiment. Limnology and Oceanography. 48(6):2289\u20132302.", "Pistocchi, R., Guerrini, F., Boni, L. & Balboni, V. 1997. Copper toxicity and carbohydrate production in the microalgae cylindrotheca fusiformis and gymnodinium sp. European Journal of Phycology. 32(2):125\u2013132.", "Quan, Q., Chen, Y., Ma, Q., Wang, F., Meng, X. & Wang, B. 2016. The impact of atmospheric deposition of cadmium on dominant algal species in the East China Sea. Journal of Ocean University of China. 15(2):271\u2013282."]}
DOI: 10.5281/zenodo.7342299
title: Potentially toxic trace metal (Cu, Cd) threshold concentrations for phytoplankton at given open and coastal locations

description: This data compilation contains previously published threshold concentrations of copper and cadmium of phytoplankton in open and coastal oceans. The data was recalculated to nmol/L for consistency, assuming the following molar masses of copper and cadmium as 63.546 and 112.411, respectively, and salinity as 1.025 kg/L. The temperature and salinity provided by the authors were also included, in case there is a desire for future users to utilise different conversion methods to recalculate original data. Only data with information on whether the authors measured the trace metal concentrations in open or coastal marine environments were included, along with the name of the phytoplankton. The oceans were divided into geographical sections, namely the Atlantic Ocean, Indian Ocean, Pacific Ocean and Southern Ocean, and subsequently further subdivided according to the information authors have given in their publications. In this context, several chemically diverse seas were included in geographical regions in order to limit the number of broad ocean regimes. Chemically diverse sub-regimens were, however, considered within each geographical grouping.
description: {"references": ["Anu, P.R., Bijoy Nandan, S., Jayachandran, P.R. & Don Xavier, N.D. 2016. Toxicity effects of copper on the marine diatom, Chaetoceros calcitrans. Regional Studies in Marine Science. 8:498\u2013504.", "Debelius, B., Forja, J.M., del Valls, \u00c1. & Lubi\u00e1n, L.M. 2010. Toxic effect of copper on marine picophytoplankton populations isolated from different geographic locations. Scientia Marina. 74(1):133\u2013141.", "Echeveste, P., Agust\u00ed, S. & Tovar-S\u00e1nchez, A. 2012. Toxic thresholds of cadmium and lead to oceanic phytoplankton: Cell size and ocean basin-dependent effects. Environmental Toxicology and Chemistry. 31(8):1887\u20131894.", "Echeveste, P., Tovar-S\u00e1nchez, A. & Agust\u00ed, S. 2014. Tolerance of polar phytoplankton communities to metals. Environmental Pollution. 185:188\u2013195.", "Muller, F.L.L., Jacquet, S. & Wilson, W.H. 2003. Biological factors regulating the chemical speciation of Cu, Zn, and Mn under different nutrient regimes in a marine mesocosm experiment. Limnology and Oceanography. 48(6):2289\u20132302.", "Pistocchi, R., Guerrini, F., Boni, L. & Balboni, V. 1997. Copper toxicity and carbohydrate production in the microalgae cylindrotheca fusiformis and gymnodinium sp. European Journal of Phycology. 32(2):125\u2013132.", "Quan, Q., Chen, Y., Ma, Q., Wang, F., Meng, X. & Wang, B. 2016. The impact of atmospheric deposition of cadmium on dominant algal species in the East China Sea. Journal of Ocean University of China. 15(2):271\u2013282."]}
DOI: 10.15129/d4163a0c-1cdf-4cb7-8b05-d05e0784eba2
title: Data for: "High-Speed Optical Camera Communications Using CMOS-driven Micro-LED Projector"

description: Dataset includes raw image data in Excel format for figures 2(a) and (b). Also in Excel format is the tabulated data shown in Figure 2(c). Data was created for a contributed conference abstract.
DOI: 10.23728/b2share.58eb7b9a8b3c466783762cb15dcd3898
title: TERENO Harz Central Germany - Phenological Annual Summary Statistics 2019/2020

description: Phenological Annual Summary Statistics based on Ecosystem Functional Attribute framework. The result are based on S2 interpolated with a bayesian implementation of Harmonic Model.
description: Details of the method can be found in Vicario S, Adamo M, Alcaraz-Segura D, Tarantino C (2019) Bayesian Harmonic Modelling of Sparse and Irregular Satellite Remote Sensing Time Series of Vegetation Indexes: A Story of Clouds and Fires. Remote Sens 12:83 . doi: 10.3390/rs12010083
description: The phenology is not a scalar variable but it is an ensamble of sub-variables all based on MCARI2 vegetation index and for each one two statistics are given: expected value (mean) and a mask for all pixel with standard deviation of uncertianities larger than 10% the mean (CVmask) within the general name rule proposed: locality_variable_timestamp.extension variable formed in: Phenology-SubvariableStatistics The subvariables are: mean: mean value across the year - values range between 0-0.5 stdintra: standard deviation of the value across the year - values range between 0-0.05 maxpos: day of the year of the maximum value - values range between 0-0.5 sdinter: standard deviation across years - values range between 0-0.05 The statistics are: mean: Expected value of the subvariable across 100 simulation CVmask: 0-1 mask with value 1 for pixel with less than 10% of standard deviation compared to the mean The timestamp refer to a year or to two years
DOI: 10.25430/researchdata.cab.unipd.it.00000771
title: Data availability material of "Lazzarin et al. - Influence of bed roughness on flow and turbulence structure around a partially-buried, isolated freshwater mussel"

description: This folder contains data of the figure shown in the paper.
DOI: 10.6084/m9.figshare.11477946
title: GFDL ocean pCO2 testbed

description: This dataset contains select variables from 25 randomly selected members from the GFDL large ensemble. Each variable is interpolated from the native grid to a 1x1 degree lat/lon grid. The variables are monthly over the 1982-2017 time frame. Each variable has been sampled as the SOCATv5 data product. RCP8.5 is used after 2005. <br> The intent of this testbed is to evaluate ocean pCO2 gap-filling methods. <br> <strong>Extracting variables</strong> <em>&gt;&gt; unzip file.tar.gz</em>
DOI: 10.25582/data.2023-08.2876525/2438267
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2876495/2438268
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2876494/2438269
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2876188/2438270
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2876364/2438271
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2876458/2438272
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2876312/2438273
title: Data for EMSL Project 51287 from August 2023
DOI: 10.15468/dl.w3bq8h
title: Occurrence Download

description: A dataset containing 798716 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aquila chrysaetos (Linnaeus, 1758)"
 ]
}

 The dataset includes 798716 records from 791 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107013-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-08.2876342/2438274
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2876272/2438275
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2876277/2438276
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2876308/2438277
title: Data for EMSL Project 51287 from August 2023
DOI: 10.25582/data.2023-08.2876475/2438278
title: Data for EMSL Project 51287 from August 2023
DOI: 10.6084/m9.figshare.14984879.v1
title: Additional file 2 of Expression of antibody fragments in Saccharomyces cerevisiae strains evolved for enhanced protein secretion

description: Additional file 2. Common significantly differentially expressed genes in both HA.Nan vs LA.Nan and HA.Pex vs LA.Pex.
DOI: 10.6084/m9.figshare.7648565
title: Additional file 2: of Reversible SAHH inhibitor protects against glomerulonephritis in lupus-prone mice by downregulating renal α-actinin-4 expression and stabilizing integrin-cytoskeleton linkage

description: Supplementary Tables. (XLSX 101 kb)
DOI: 10.6084/m9.figshare.12891400.v1
title: Additional file 1 of Neuroprotective effect of astrocyte-derived IL-33 in neonatal hypoxic-ischemic brain injury

description: Additional file 1: Supplementary Fig. S1. mRNA expression of neurotrophic factors GDNF and PSPN in HI brain tissue of neonatal mice with or without IL-33 treatment for 3 days. Data are mean ± SEM (n = 3 in each group). *P &lt; 0.05 compared to untreated controls
DOI: 10.6084/m9.figshare.14984882.v1
title: Additional file 3 of Expression of antibody fragments in Saccharomyces cerevisiae strains evolved for enhanced protein secretion

description: Additional file 3. Genes with differential biological responses caused by the expression of Nan and Pex.
DOI: 10.6084/m9.figshare.7648565.v1
title: Additional file 2: of Reversible SAHH inhibitor protects against glomerulonephritis in lupus-prone mice by downregulating renal α-actinin-4 expression and stabilizing integrin-cytoskeleton linkage

description: Supplementary Tables. (XLSX 101 kb)
DOI: 10.6084/m9.figshare.14985065
title: Additional file 2 of Dynamics of dark fermentation microbial communities in the light of lactate and butyrate production

description: Additional file 1. Statistical analysis of bacterial growth (OD600nm), pH of the digestive liquids and the non-gaseous fermentation products. The STATISTICA (version 10.0) computer software (StatSoft, Inc.) was used. All variables were examined for normality and homogeneity of variance. Tukey's HSD (honestly significant difference) test was applied after ANOVA analysis to compare statistical significance among the variables in experiments. Statistical significance was considered at p &lt; 0.05.
DOI: 10.6084/m9.figshare.14985080.v1
title: Additional file 7 of Dynamics of dark fermentation microbial communities in the light of lactate and butyrate production

description: Additional file 6. Detailed taxonomic composition of the MCs from the selected samples (see Table 4) based on shotgun metagenomic sequencing analysis: phylum, class, order, family, genus, species.
DOI: 10.6084/m9.figshare.14985065.v1
title: Additional file 2 of Dynamics of dark fermentation microbial communities in the light of lactate and butyrate production

description: Additional file 1. Statistical analysis of bacterial growth (OD600nm), pH of the digestive liquids and the non-gaseous fermentation products. The STATISTICA (version 10.0) computer software (StatSoft, Inc.) was used. All variables were examined for normality and homogeneity of variance. Tukey's HSD (honestly significant difference) test was applied after ANOVA analysis to compare statistical significance among the variables in experiments. Statistical significance was considered at p &lt; 0.05.
DOI: 10.6084/m9.figshare.14985068
title: Additional file 3 of Dynamics of dark fermentation microbial communities in the light of lactate and butyrate production

description: Additional file 2. Detailed taxonomic composition (genus level) of the MCs selected in batch experiment based on hypervariable V4 region of the 16S rRNA gene, sequenced on MiSeq platform (Illumina).
DOI: 10.6084/m9.figshare.14985074
title: Additional file 5 of Dynamics of dark fermentation microbial communities in the light of lactate and butyrate production

description: Additional file 4. Detailed characteristics of the digestive liquids from the batch experiments – data used for preparation of Figures 3, 4 and Table 2. The samples from which the material was taken for shotgun metagenomic sequencing are marked in yellow.
DOI: 10.6084/m9.figshare.14985074.v1
title: Additional file 5 of Dynamics of dark fermentation microbial communities in the light of lactate and butyrate production

description: Additional file 4. Detailed characteristics of the digestive liquids from the batch experiments – data used for preparation of Figures 3, 4 and Table 2. The samples from which the material was taken for shotgun metagenomic sequencing are marked in yellow.
DOI: 10.6084/m9.figshare.14985080
title: Additional file 7 of Dynamics of dark fermentation microbial communities in the light of lactate and butyrate production

description: Additional file 6. Detailed taxonomic composition of the MCs from the selected samples (see Table 4) based on shotgun metagenomic sequencing analysis: phylum, class, order, family, genus, species.
DOI: 10.6084/m9.figshare.14985068.v1
title: Additional file 3 of Dynamics of dark fermentation microbial communities in the light of lactate and butyrate production

description: Additional file 2. Detailed taxonomic composition (genus level) of the MCs selected in batch experiment based on hypervariable V4 region of the 16S rRNA gene, sequenced on MiSeq platform (Illumina).
DOI: 10.6084/m9.figshare.6600041.v1
title: Additional file 2: of Unexpected invasion of miniature inverted-repeat transposable elements in viral genomes

description: Table S2. Nucleotide sequences of twelve elements whose TSD could not be determined. (XLSX 11Â kb)
DOI: 10.6084/m9.figshare.24961392
title: Multiple Pesticides Experiment Data

description: This is data generated from an experiment examining the impacts of multiple pesticides and rate of application on key soil processes including, litter decomposition, water stable aggregates (WSA), mean weight diameter (MWD), soil pH, and electrical conductivity (EC).
DOI: 10.6084/m9.figshare.6600113
title: Additional file 1: of Clinical and genetic characteristics of Chinese patients with familial or sporadic pediatric cataract

description: Table S1. List of 80 pediatric cataract genes. (XLS 36Â kb)
DOI: 10.6084/m9.figshare.6600113.v1
title: Additional file 1: of Clinical and genetic characteristics of Chinese patients with familial or sporadic pediatric cataract

description: Table S1. List of 80 pediatric cataract genes. (XLS 36Â kb)
DOI: 10.6084/m9.figshare.12365090.v1
title: Additional file 1 of Identification of lysine acetylome in cervical cancer by label-free quantitative proteomics

description: Additional file 1: Table S1. A total of 928 lysine acetylation sites were identified by label-free quantitative proteomics.
DOI: 10.6084/m9.figshare.12365102.v1
title: Additional file 3 of Identification of lysine acetylome in cervical cancer by label-free quantitative proteomics

description: Additional file 3: Table S3. Protein–protein interaction (PPI) networks of proteins identified from differential peptides in the cervical tissues.
DOI: 10.6084/m9.figshare.6600137
title: Additional file 2: of Clinical and genetic characteristics of Chinese patients with familial or sporadic pediatric cataract

description: Table S2. The primers for haplotype analysis and allele specific PCR. (XLS 25Â kb)
DOI: 10.6084/m9.figshare.14985083
title: Additional file 8 of Dynamics of dark fermentation microbial communities in the light of lactate and butyrate production

description: Additional file 7. Detailed calculations for Figure 6 based on taxonomic assignments in Additional File 6.
DOI: 10.6084/m9.figshare.12365147
title: Additional file 2 of Genomic characterization of a newly established esophageal squamous cell carcinoma cell line from China and published esophageal squamous cell carcinoma cell lines

description: Additional file 2: Table S2. Background information of CCLE ESCC cell lines.
DOI: 10.6084/m9.figshare.6600131
title: Additional file 11: of Characterization of the Populus Rab family genes and the function of PtRabE1b in salt tolerance

description: Table S4. Functional annotation of genes in PtRabs co-expression network. (XLSX 484 kb)
DOI: 10.6084/m9.figshare.6600137.v1
title: Additional file 2: of Clinical and genetic characteristics of Chinese patients with familial or sporadic pediatric cataract

description: Table S2. The primers for haplotype analysis and allele specific PCR. (XLS 25Â kb)
DOI: 10.6084/m9.figshare.6600152.v1
title: Additional file 12: of Characterization of the Populus Rab family genes and the function of PtRabE1b in salt tolerance

description: Table S5. Enriched GO terms of genes in PtRabs sub-networks. (XLSX 16 kb)
DOI: 10.6084/m9.figshare.14985089.v1
title: Additional file 9 of Dynamics of dark fermentation microbial communities in the light of lactate and butyrate production

description: Additional file 8. Detailed data describing metabolic potential based on KEGG analysis of the MLA3, MLA9, LA3 and LA18 MCs - the relative abundance of predicted functional genes related to acid fermentation routes.
DOI: 10.6084/m9.figshare.12365177
title: Additional file 7 of Genomic characterization of a newly established esophageal squamous cell carcinoma cell line from China and published esophageal squamous cell carcinoma cell lines

description: Additional file 7: Table S6. CNA data of 24 ESCC cell lines.
DOI: 10.6084/m9.figshare.14985083.v1
title: Additional file 8 of Dynamics of dark fermentation microbial communities in the light of lactate and butyrate production

description: Additional file 7. Detailed calculations for Figure 6 based on taxonomic assignments in Additional File 6.
DOI: 10.6084/m9.figshare.14985089
title: Additional file 9 of Dynamics of dark fermentation microbial communities in the light of lactate and butyrate production

description: Additional file 8. Detailed data describing metabolic potential based on KEGG analysis of the MLA3, MLA9, LA3 and LA18 MCs - the relative abundance of predicted functional genes related to acid fermentation routes.
DOI: 10.13145/bacdive115254.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115255.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115256.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115257.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115258.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive115259.20201210.5
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.