cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15485/1871343
title: Effect of fluctuating redox conditions on trace metal release from wetland soils from South Carolina and stream sediments from Tennessee

description: Natural aquatic systems undergo fluctuating redox conditions due to microbial activity, varying water saturation levels, and nutrients dynamics. With fluctuating oxic and anoxic conditions, trace metals can be mobilized or sequestered in response to changes in iron and sulfur speciation and the concentrations and lability of organic carbon. We conducted a systematic laboratory-based microcosm study to examine the effect of redox fluctuations on trace metal mobility in samples collected from two different natural aquatic systems: riparian wetlands and a stream. We incubated water-saturated soils under three cycles of anoxic-oxic conditions (τanoxic:τoxic = 3) spanning 24 days and monitored the change in dissolved and bioavailable metal (copper (Cu), nickel (Ni), zinc (Zn), cobalt (Co), iron (Fe), and manganese (Mn)) concentrations. The dataset includes the results of the variation in metal concentrations due to redox fluctuations in wetland soils and stream sediments. Additionally, the variation in the bioavailable concentration of metals obtained using passive samplers based on diffuse gradient in thin-films technique is included in the dataset. We have also reported the change in the pH values and dissolved oxygen concentrations in the microcosms during the entire study of 24 days. The dataset also contains the dissolved organic carbon and sulfate concentrations, and the data on fractions of metals bound to reducible and oxidizable phases. For materials from both the wetlands and the stream, anoxic conditions favored Co and Zn release, which corresponded with the reductive dissolution of iron oxides. In contrast, dissolved Cu concentrations increased under oxic conditions for both sites and correlated positively with the release of sulfate. In wetland soils, dissolution of Fe (hydr)oxides increased Ni solubility; however, in stream sediments, Ni release occurred when sulfides or organic matter were oxidized. For stream sediments, each subsequent redox cycle increased the bioavailability of trace metals. Upon redox fluctuations in wetland soils, the bioavailability of Zn and Cu increased, whereas bioavailable Ni and Co decreased. This study illustrates that different trace metals display distinct bioavailability patterns during oxic-anoxic fluctuations in natural environments. The biogeochemical cycling of carbon and nitrogen in systems with redox fluctuations may be influenced by these patterns in trace metal availability in addition to the availability of electron donors and acceptors.
DOI: 10.15485/1874586
title: 16S and ITS Amplicon Sequencing Fastq files and metadata from PARCHED Panama Tropical Forest soils, 2019-2020,

description: Model projections predict tropical forests will experience longer periods of drought and more intense precipitation cycles under a changing climate. Such transitions have implications for structure-function relationships within microbial communities. We examine how chronic drying might reshape prokaryotic and fungal communities across four lowland forests in Panama with a wide variation in mean annual precipitation and soil fertility. Four sites were established across a 1000 mm span in mean annual precipitation (2335 to 3300 mm). We expected microbial communities at sites with lower MAP to be less sensitive to chronic drying than sites with higher MAP; while fungal communities to be more resistant to disturbance than prokaryotes. At each location, partial throughfall exclusion structures were established over 10 x 10 m plots to reduce direct precipitation input. Raw demultiplexed sequences (bacteria, archaea, fungal) from soil samples taken from PARCHED Panama Tropical Forest throughfall exclusion experiments. Files that contain 16S are sequences from prokaryotes, ITS indicates sequences from fungi. Compressed fastq files are contained in Field_PARCHED_ITS_fastq_2020.zip, Field_PARCHED_ITS_fastq_2019.zip, Field_PARCHED_16S_fastq_2020.zip, Field_PARCHED_16S_fastq_2019.zip.There are four sites across the isthmus of Panama, each with 4 control and 4 exclusion plots. Throughfall exclusion shelters were built to intercept 50% of throughfall precipitation that hits the soil. Samples were taken on May 2019 and Jan 2020 from 0-10 cm and 10-20 cm depth approximately 9 and 18 months after shelter installation. Metadata and sample IDs for fastq files for 2019 sampling are within Field_PARCHED_Metadata_2019_ITS.csv and Field_PARCHED_Metadata_2019_16S.csv. The metadata for both 16S and ITS fastq files for January 2020 is included in Field_PARCHED_Metadata_2020.csv. No data processing or QA/QC was done on the raw data. Data processing example provided in R notebook file.
DOI: 10.6084/m9.figshare.22573321
title: Modo Velocidade Balança

description: Nesse arquivo zipado tem todos os dados de tensão induzida por tempo coletados com um osciloscópio, bem como um arquivo de LEIA-ME explicando as condições de coleta de dados e um arquivo .nb para visualizar os dados.
DOI: 10.6084/m9.figshare.22573321.v1
title: Modo Velocidade Balança

description: Nesse arquivo zipado tem todos os dados de tensão induzida por tempo coletados com um osciloscópio, bem como um arquivo de LEIA-ME explicando as condições de coleta de dados e um arquivo .nb para visualizar os dados.
DOI: 10.6084/m9.figshare.22573321.v2
title: Modo Velocidade Balança

description: Nesse arquivo zipado tem todos os dados de tensão induzida por tempo coletados com um osciloscópio, bem como um arquivo de LEIA-ME explicando as condições de coleta de dados e um arquivo .nb para visualizar os dados.
DOI: 10.15485/1898052
title: Data and code for: "Soil respiration response to simulated precipitation change depends on ecosystem type and study duration"

description: Data, code, and figures from our meta-analysis of the effect of precipitation change on soil respiration, with an emphasis on ecosystem variability and the effect of study duration. We combined the results of 81 separate studies to determine the effect of altered rainfall on the amount of carbon that leaves soil in the form of carbon dioxide, a major component of global carbon cycling. In addition we looked at how long the changes lasted, and how different soil properties and the intensity of precipitation changes affected the study results. We found that more precipitation resulted in greater amounts of carbon dioxide leaving the soil, and less precipitation resulted in less. However, the changes weakened over time in ecosystems that typically receive plenty of rainfall (e.g., forests), in contrast to ecosystems that typically receive little rainfall (e.g., deserts) where changes strengthened over time. Changes in the amount of carbon dioxide that left the soil were also affected by the amount of carbon in the soil, which impacts how much water soil can hold.
DOI: 10.6084/m9.figshare.20500284
title: Geocomplexity explains spatial errors

description: Data sets for IJGIS submission. Include geocomplexity and model codes, raw datasets and key intermediate results.
DOI: 10.18112/openneuro.ds004551.v1.0.0
title: testMIproject
DOI: 10.5517/ccdc.csd.cc2475bx
title: CCDC 1973098: Experimental Crystal Structure Determination

description: Related Article: Jennifer Morvan, François Vermersch, Ziyun Zhang, Thomas Vives, Thierry Roisnel, Christophe Crévisy, Laura Falivene, Luigi Cavallo, Nicolas Vanthuyne, Guy Bertrand, Rodolphe Jazzar, Marc Mauduit|2023|Organometallics|42|495|doi:10.1021/acs.organomet.3c00054
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.7807303
title: PlasBin-flow: A flow-based MILP algorithm for plasmid contigs binning

description: PlasBin-flow is a method for detecting plasmid contigs bins from the assembly graph for a given bacterial sample. The method is based on a Mixed-Integer Linear Programming (MILP) formulation. The data shared consists of output files of PlasBin-flow as well as those of 5 other plasmid binning methods, namely, PlasBin, HyAsP, MOB-recon, plasmidSPAdes and gplas for 66 test samples. Details about each sample have been provided in the file <strong>samples.csv</strong>. The output folder contains one folder per sample. Each sample folder contains the following files: PlasBin-flow was executed using 7 different weight combinations for the objective function of the MILP.<br> For every weight combination \((a,b,c)\) , we have a file name <em>plasbin_flow_a_b_c_bins.out.</em> PlasBin: <em>plasbin_contig_chains.csv</em>, HyAsP: <em>hyasp_plasmid_contigs.fasta</em>, MOB-recon: <em>mob_recon_contig_report.txt</em>, plasmidSPAdes: <em>plasmidspades_contigs.fasta</em>, gplas: <em>gplas_bins.tab</em>.
DOI: 10.5281/zenodo.7807302
title: PlasBin-flow: A flow-based MILP algorithm for plasmid contigs binning

description: PlasBin-flow is a method for detecting plasmid contigs bins from the assembly graph for a given bacterial sample. The method is based on a Mixed-Integer Linear Programming (MILP) formulation. The data shared consists of output files of PlasBin-flow as well as those of 5 other plasmid binning methods, namely, PlasBin, HyAsP, MOB-recon, plasmidSPAdes and gplas for 66 test samples. Details about each sample have been provided in the file <strong>samples.csv</strong>. The output folder contains one folder per sample. Each sample folder contains the following files: PlasBin-flow was executed using 7 different weight combinations for the objective function of the MILP.<br> For every weight combination \((a,b,c)\) , we have a file name <em>plasbin_flow_a_b_c_bins.out.</em> PlasBin: <em>plasbin_contig_chains.csv</em>, HyAsP: <em>hyasp_plasmid_contigs.fasta</em>, MOB-recon: <em>mob_recon_contig_report.txt</em>, plasmidSPAdes: <em>plasmidspades_contigs.fasta</em>, gplas: <em>gplas_bins.tab</em>.
DOI: 10.34740/kaggle/dsv/5335030
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.34740/kaggle/dsv/5335056
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.6084/m9.figshare.22568581.v1
title: Metadata

description: <strong>Effect of Green Tea Extract Antioxidant on Dentin Shear Bond Strength and Resin-Tag Penetration Depth after Non-vital Bleaching</strong> <br> This study aimed to evaluate the effect of 10% and 35% green tea (10% and 35% GT) extract as an antioxidant after 2 minutes of application on dentin shear bond strength and resin tags penetration depth after non-vital bleaching. This research was conducted at the Chemistry Laboratory, Faculty of Medicine, University of Indonesia, and the Dental Materials Research and Development Laboratory, Faculty of Dentistry, University of Indonesia, in March-April 2022. <br> This study was approved by the Ethics Committee (10/Ethical Approval/FKGUI/III/2022; 09/Ethical Exempted/FKGUI/IV/2022) and conducted in accordance with the Declaration of Helsinki. <br> The shear bond strength assessment was done using a Universal Testing Machine with a 0.5 mm/minute cross-head speed. Confocal Laser Scanning Microscopy (CLSM) with a wavelength of 560 nm and a lens magnification of 40x was used to analyze the resin tag penetration by the fluorescence glow of rhodamine B.
DOI: 10.34740/kaggle/dsv/5335079
title: NSE-Scripts-Data
DOI: 10.5281/zenodo.7805563
title: SFSRM dataset

description: This dataset includes the raw and super-resolution images in the Single-Frame Deep-Learning Super-Resolution Microscopy for Intracellular Dynamics Imaging study.
DOI: 10.5281/zenodo.7805562
title: SFSRM dataset

description: This dataset includes the raw and super-resolution images in the Single-Frame Deep-Learning Super-Resolution Microscopy for Intracellular Dynamics Imaging study.
DOI: 10.6084/m9.figshare.22573492.v1
title: JAPAN_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Japan Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22573492
title: JAPAN_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Japan Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22573501
title: COLOMBIA_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Colombia Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22573501.v1
title: COLOMBIA_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Colombia Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22573504
title: TAIWAN_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Taiwan Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22573510
title: MEXICO_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Mexico Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22573510.v1
title: MEXICO_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Mexico Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22573519
title: GREECE_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Greece Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22573519.v1
title: GREECE_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Greece Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22573522
title: GERMANY_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Germany Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22573522.v1
title: GERMANY_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Germany Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22573525
title: FRANCE_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for France. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22573525.v1
title: FRANCE_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for France. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. <br> To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.
DOI: 10.6084/m9.figshare.22573471
title: Complete Mitochondrial Genome of Taxus wallichiana

description: We used a hybrid BGI and Nanopore strategy to assemble the Taxus wallichiana mitogenome. Plant mitochondrial assemblies were first performed using the default parameters of GetOrganelle software (default parameters: v1.7.5) on second generation DNA sequencing data to obtain a graphical representation of the mitochondrial genome. The T.wallichiana mitogenome was then visualized using Bandage software and single stretches of the chloroplast and nuclear genomes were manually removed . Finally, the Nanopore data was compared to the graphical mitogenome fragments using BWA software and the resulting Nanopore data was used to resolve the repetitive sequence regions of the graphical plant mitogenome. The T.wallichiana mitogenome was finally obtained by the above method. We used Geseq to annotate the T.wallichiana mitogenome genome of , and Arabidopsis thaliana was selected as the reference genome for the protein-coding genes (PCGs) of the mitogenome. The tRNA and rRNA of the mitogenome were annotated using tRNAscan-SE and BLASTN, respectively. When errors were made in the annotation of the mitogenome, Apollo was used to manually correct the errors.