cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/25mmvzypms.1
title: Data for: Detection of Spot Urinary Free Metanephrines and 3-Methoxytyramine with Internal Reference Correction for the Diagnosis of Pheochromocytomas and Paragangliomas

description: These clinical data were obtained based on our established HPLC-fluorescence/ultraviolet detection of normetanephrine, metanephrine, 3-methoxytyramine and creatinine in spot urine samples. All statistical analysis and diagnostic methods for pheochromocytomas and paragangliomas were analyzed based on these data.
DOI: 10.17632/2z4s9j5wgy.1
title: Data for: The petrogenesis and tectonic significance of the Early Cretaceous intra-plate granites in eastern China: the Laoshan granite as an example

description: Table 1 Petrography of the samples from the Laoshan granite (N=27). Table 2 LA-ICPMS zircon U-Pb data of Laoshan granites.
DOI: 10.17632/4xtbjd7hfr.1
title: Data for: Adversarial Learning of Sentiment Word Representation for Sentiment Analysis
DOI: 10.17632/xwr2k3v2dj.1
title: Data for: The Sources of Sovereign Risk A calibration based on Lévy stochastic processes

description: Programs needed to replicate the simulation tables in the paper.
DOI: 10.17632/s8vzkb8t2r.1
title: Data for: Fine-Grained Visual Categorization of Butterfly Specimens at Sub-species Level Via a Convolutional Neural Network with skip-connections

description: For performance evaluation, a total of 24,836 images of butterfly specimen spanning 56 sub-species were acquired as benchmark dataset for their strong similarity with subordinate categories. The camera used is Canon EOS 5D Mark IV and the shooting distance was three to seven cm depending on the worm size. The image format was JPEG and each one was a 24-bit color bitmap. Each image was classified into one corresponding ground truth category with the help of entomology experts. It is an interesting but challenging dataset for performance verification of fine-grained visual categorization of butterfly specimens.
DOI: 10.17632/fx279m39p8.1
title: Data for: Understanding online fashion retailers (OFR) in India: A multi-criteria decision approach

description: The data depicts the practices of decision making in online fashion retail.
DOI: 10.17632/ftjtryf28r.1
title: Data for: A Computational Fluid Dynamics Model to Predict Performance of Hollow Fiber Membrane Modules in Forward Osmosis

description: This is is a Comsol file with an app builder that can be used by those with a Comsol license.
DOI: 10.17632/wd3n5prdyp.1
title: Data for: Are there asymmetric linkages between African stocks and exchange rates?
DOI: 10.17632/nrpzbvjngk.1
title: Data for: UHPLC-QqQ-MS/MS method development and validation with statistical analysis: determination of raspberry ketone metabolites in mice plasma and brain

description: This is the original LC-MS experimental data, organized in multiple Excel worksheets, which the R script reads directly for various computation and visualization analysis.
DOI: 10.17632/rjmm42332s.1
title: Data for: A Machine Learning Framework for the Analysis and Prediction of Catalytic Activity from Experimental Data

description: The data contains all data and code needed to reproduce the results of the manuscript "A Machine Learning Framework for the Analysis and Prediction of Catalytic Activity from Experimental Data."
DOI: 10.17632/dsxktg9bjr.1
title: Data for: Synthesis and photodynamic antimicrobial activity of amphiphilic meso-arylporphyrins with pyridyl moieties

description: Supporting information contains 1H NMR-, LCMS- (ESI). FTIR-, fluorescence and UV-Vis-spectra data of synthesized compounds (Fig 1-6S). Fig. 7-9S contains investigation of PSs aggregation behavior in DMSO and aqueous micellar solutions. Fig. 10S shows antibacterial activity of the compounds 4a, b and 5a in relation to the suspension of E. coli.
DOI: 10.17632/kydfjj369t.1
title: Data for: Comparison of differential diagenesis of two oolites on the Lower Triassic platform margin, NE Sichuan Basin: Implications for the co-evolution of rock structure and porosity

description: Trace element contents, and Sr, C and O isotopic compositions of different diagenetic minerals in the Lower Triassic Feixianguan Formation.
DOI: 10.17632/64pxn62w75.1
title: Data for: Does it Pay to Bet on Your Favourite to Win? Evidence on Experienced Utility from the 2018 FIFA World Cup Experiment
DOI: 10.17632/trrtsdn89b.1
title: Data for: Origin of calcite cements and their impact on reservoir heterogeneity in the Triassic Yanchang Formation, Ordos Basin, China: A combined petrological and geochemical study

description: Sample list, petrology and mineralogy statistics, EPMA, XRD, carbon and oxygen isotopes, fluid inclusion test results are summarized in the given database
DOI: 10.17632/2kpbckpcz3.1
title: Data for: The role of gastropod shell composition and microstructure in resisting dissolution caused by ocean acidification

description: Raw data of gastropod shell densities taken from micro-CT images, and raw data on shell compositions (calcite and aragonite) taken from powder XRD samples
DOI: 10.17632/w7k4m8sy3s.1
title: Data for: Methane sources and sinks in continental sedimentary systems: New insights from paired clumped isotopes 13CH3D and 12CH2D2

description: Dataset for article
DOI: 10.17632/w8hkp94hz2.1
title: Data for: Citizen science and smartphone e-entomology enables low-cost upscaling of mosquito surveillance
DOI: 10.17632/sfgzdfsgcp.1
title: Data for: Effects of repeated short episodes of environmental acidification on Atlantic salmon (Salmo salar) from a landlocked population.

description: Physiological data, fish exposed to continuous or episodic acidification
DOI: 10.17632/hxw83wz44y.1
title: Data for: Associations between ethnicity, social contact, and pneumococcal carriage three years post-PCV10 in Fiji

description: Empirical pneumococcal nasopharyngeal carriage data and social contact data from a cross-sectional study Fiji, three years post-PCV10 (2015)
DOI: 10.17632/943cdj8gyj.1
title: Data for: Hierarchically-structured large superelastic deformation in ferroelastic-ferroelectrics

description: Data in Brief for "Hierarchically-structured large superelastic deformation in ferroelastic-ferroelectrics", by Yu Deng, et al.
DOI: 10.17632/cncg7b7hgh.1
title: Data for: Conversion of phoenix tree leaves into hydro-char by microwave-assisted hydrothermal carbonization

description: Data for: Conversion of phoenix tree leaves into hydro-char by microwave-assisted hydrothermal carbonization
DOI: 10.17632/cjr2sf2dx7.1
title: Data for: Does cash-based operating profitability explain the accruals anomaly in China?

description: Data structure explanation for Does cash-based operating profitability explain the accruals anomaly in China? February 25, 2020 We provide the final data used in our test and the SAS code to generate all the tables in our paper. The data for the U.S. study is titled “data_pbfj_us”, the data for the Chinese study is titled “data_pbfj_cn”. The SAS code used to generate the results is titled “pbfj_acc_code”. Data structure for the U.S. sample Variable names: 1) permno: stock identifier 2) date: date of observation 3) ret: monthly stock return 4) mep: market cap in previous month 5) lnmep: logarithm of mep 6) micro: microcap stock indicator 7) str: short-term reversal, defined as return in previous month. 8) mom: momentum effect (MOM) 9) at: total assets 10) lnbtm: logarithm of firm’s book-to-market equity 11) op_raw: operating profitability (OP) 12) accat: accruals (ACC) 13) opcat: cash-based operating profitability (Cash-OP) Data structure for the Chinese sample Variable names: 1) permno: stock identifier, same as “stkcd” in CSMAR database 2) date: date of observation 3) ret: monthly stock return 4) mep: market cap in previous month 5) lnmep: logarithm of mep 6) shell: shell stock indicator 7) str: short-term reversal, defined as return in previous month. 8) mom: momentum effect (MOM) 9) at: total assets, same as “A001000000” in CSMAR database 10) lnbtm: logarithm of firm’s book-to-market equity 11) op_raw: operating profitability (OP) 12) accat: accruals (ACC) 13) opcat: cash-based operating profitability (Cash-OP)
DOI: 10.17632/7fxjg323gk.1
title: Data for: Nature based measures reverse catchment biodiversity loss and increase freshwater resilience in an agricultural landscape

description: Water Friendly Farming: macrophyte gamma diversity (presence/absence) data collected from all waterbody types and nature based measures for the period 2010-2018.
DOI: 10.17632/9dn3k87mc8.1
title: Data for: Syn-exhumation magmatism during continental collision: geochemical evidence from the early Paleozoic Fushui mafic intrusive complex in the Qinling Orogen, China

description: Data for the paper is included in Table 1-4
DOI: 10.17632/4jbvxbsw3m.1
title: Data for: The impact of training and practice environment on academic productivity of early career academic neurosurgeons

description: Bibliometric and demographic data on neurosurgeons who graduated a US-based residency program from 2010-2014
DOI: 10.17632/m4m9xhscmf.1
title: Data for: A Method for Determination of Water-invasion-Intervals in CBM Wells using Dewatering Data

description: This file provides partial drainage data of the studied CBM Wells and provides data basis for the research method
DOI: 10.17632/c4pz84nhv9.1
title: Data for: Phase field modeling of pore electromigration in anisotropic conducting polycrystals

description: Legacy VTK files output from phase field simulations
DOI: 10.17632/x2hwkt9dm5.1
title: Data for: Novel Reinforcement Behavior in Nanofilled Natural Rubber (NR) / Butadiene-acrylonitrile Rubber (NBR) Blends: Filling-Polymer Network and Supernanosphere

description: This is original data of the paper"Novel Reinforcement Behavior in Nanofilled Natural Rubber(NR)/Butadiene -acrylonitrile Rubber(NBR) Blends:Filling-Polymer Network and Supernanosphere".All the figures in the paper are got by diverse method based on the data, and I confirm that the data is original.
DOI: 10.17632/7sr283s9x3.1
title: Data for: Constraints on hydrogen levels in the Archean atmosphere based on detrital magnetite

description: Calculation of the survival time of magnetite in a river under high pH2.
DOI: 10.17632/cmczjbxt2n.1
title: Data for: Rosmarinic acid protects against 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-induced dopaminergic neurotoxicity in zebrafish

description: • Rosmarinic acid attenuates neurotoxicity. • Rosmarinic acid exerts antioxidative effect. • Rosmarinic acid regulates DJ-1/Akt/Nrf2 signaling pathway.
DOI: 10.17632/w34bnt6rpd.1
title: Data for: Controls of extreme isotopic enrichment in modern microbialites and associated abiogenic carbonates

description: Geochemical data from Laguna Negra
DOI: 10.17632/wd5ntc6x95.1
title: Data for: Cultural spaces and climate change: modeling Holocene archaeological settlement patterns on the coastal plain of the Southeastern United States.

description: JMP files
DOI: 10.17632/cbzjzv3sxb.1
title: Data for: Evaluation of the petrogenetic significance of melt inclusions in pegmatitic schorl-dravite from graphic tourmaline-quartz assemblages: application of LA-ICP-QMS analyses and volume ratio calculations.

description: LA-ICP-QMS spectra database of ablated melt inclusions.
DOI: 10.17632/395w99wxg9.1
title: Data for: Benchmarking Leachate Co-treatment Strategies in Municipal Wastewater Treatment Plants under Dynamic Conditions and Energy Prices

description: Research Data 1 is the modified version of the Benchmark Simulation Model no.1 (Gernaey et al., 2014) dry weather influent file. It includes soluble inert nitrogen (S_NI) component as an input. It is used as a dynamic influent file for municipal wastewater in the study. Research Data 2 is the dynamic influent file for leachate used in the study. It consists Activated Sludge Model no.1 (Henze et al., 2000) based influent characterization of old landfill leachate. The dynamic composition of leachate was generated based on Galleguillos and Vasel (2011). Galleguillos, M., Vasel, J.-L. (2011). Landfill leachate characterization for simulation of biological treatment with Activated Sludge Model No. 1 and Activated Sludge Model No. 3. Environmental Technology 32(11), 1259-1267. Gernaey, K.V., Jepson, U., Vanrolleghem, P.A., Copp, J.B. (2014). Benchmarking of Control Strategies for Wastewater Treatment Plants. Scientific and Technical Report No. 23, IWA Publishing, London, UK. Henze, M., Gujer, W., Mino, T., van Loosedrecht, M. (2000). Activated Sludge Models ASM1, ASM2, ASM2d and ASM3. IWA Publishing, London, UK.
DOI: 10.17632/hmfsctygcs.1
title: Data for: Non-Equilibrium Play in Centipede Games

description: Experimental Data.
DOI: 10.17632/hssm9bfknx.1
title: Data for: Formaldehyde Detection with Chemical Gas Sensors Based on WO3 Nanowires Decorated with Metal Nanoparticles under Dark Conditions and UV Light Irradiation

description: Relative changes of DC resistances of WO3 doped gas sensing layers. This data were used in the joined paper. Values of DC resistances were included in the figures of the paper.
DOI: 10.17632/539sw4tr8b.1
title: Data for: Multi-stage evolution of the Xuhuai rift: Insights from the occurrence and compositional profiles of doleritic sills in the southeastern margin of the North China Craton

description: The chemical data measured from the Pingshan sill is presented in Supplementary Table S1. The variations in composition of intercumulus and cumulus clinopyroxene present an almost M-shaped profile. Some of the clinopyroxene grains is always normally zoned, with high Mg# (and En) cores passing into low Mg# (and En) rims with compositional differences of up to 19 % (10 % for En). Although clinopyroxene have variable compositions (Wo37.7-47.6En34.5-47.7Fs9.8-26.6) and Mg# (0.57-0.83), with relatively low TiO2 (0.5-1.3 wt%), MnO (0.1-0.5 wt%) and Na2O (0.2-0.7 wt%) contents, it should be noted that clinopyroxene with highest Mg# [Mg/(Mg+Fe2+)] and En at 39 m, 20 m and 11.5 m height. It is difficultly attributed the crossover levels for En and Mg# in clinopyroxene from this sill to mechanical sorting of clinopyroxene crystals in a single magma injection.
DOI: 10.15156/bio/sh0904212.09fu
title: SH0904212.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0904213.09fu
title: SH0904213.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0904214.09fu
title: SH0904214.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0904215.09fu
title: SH0904215.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0904216.09fu
title: SH0904216.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0904217.09fu
title: SH0904217.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0904218.09fu
title: SH0904218.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0904219.09fu
title: SH0904219.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.