cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18716/nmrshiftdb2/10008589
title: NMR data for RIBOFLAVINE (VITAMIN B2)
DOI: 10.18716/nmrshiftdb2/10008590
title: NMR data for 1,3-CYCLOHEPTADIENE
DOI: 10.18716/nmrshiftdb2/10008591
title: NMR data for 1,3,5-CYCLOHEPTATRIENE
DOI: 10.18716/nmrshiftdb2/10008592
title: NMR data for 1,3,5-CYCLOHEPTATRIENE,1,6-DIMETHYL
DOI: 10.18716/nmrshiftdb2/10008594
title: NMR data for 1,3,5-CYCLOHEPTATRIENE,3,4-BENZO
DOI: 10.18716/nmrshiftdb2/10008595
title: NMR data for DICYCLO(5,4,1)-DODECA-1,3,5-TRIENE
DOI: 10.18716/nmrshiftdb2/10008596
title: NMR data for (4,1,0)-BICYCLOHEPTA,2,4-DIENE,2,3-BENZO,7-CARBOXYLIC ACID
DOI: 10.18716/nmrshiftdb2/10008597
title: NMR data for PHOSPHOROUS ACID,TRIMETHYL ESTER; TRIMETHYL PHOSPHITE
DOI: 10.18716/nmrshiftdb2/10008598
title: NMR data for TOLUENE,2-HYDROXY (ORTHO-CRESOL)
DOI: 10.18716/nmrshiftdb2/10008599
title: NMR data for TOLUENE,3-HYDROXY (META-CRESOL)
DOI: 10.18716/nmrshiftdb2/10008600
title: NMR data for TOLUENE,4-HYDROXY (PARA-CRESOL)
DOI: 10.18716/nmrshiftdb2/10008601
title: NMR data for ANILINE,N-METHYL
DOI: 10.18716/nmrshiftdb2/10008602
title: NMR data for BENZOIC ACID METHYL ESTER,2-AMINO
DOI: 10.18716/nmrshiftdb2/10008603
title: NMR data for BENZOIC ACID METHYL ESTER,2-METHYLAMINO (N-METHYL-ANTHRANILIC ACID METHYL ESTER)
DOI: 10.18716/nmrshiftdb2/10008604
title: NMR data for PYRIDINE,3-ACETYL
DOI: 10.18716/nmrshiftdb2/10008605
title: NMR data for PYRIDINE,4-ACETYL
DOI: 10.18716/nmrshiftdb2/10008606
title: NMR data for 3-PYRIDINECARBOXYLIC ACID,ETHYL ESTER; nicotinic acid, ethyl ester
DOI: 10.18716/nmrshiftdb2/10008607
title: NMR data for 1,3,4-OXADIAZOLINE,2-ONE,5-PHENYL
DOI: 10.18716/nmrshiftdb2/10008608
title: NMR data for BENZENE,1,2-DIMETHYL
DOI: 10.18716/nmrshiftdb2/10008609
title: NMR data for BENZENE,1,3-DIMETHYL
DOI: 10.18716/nmrshiftdb2/10008610
title: NMR data for BENZENE,1,4-DIMETHYL
DOI: 10.18716/nmrshiftdb2/10008611
title: NMR data for BENZENE,1,3,5-TRIMETHYL
DOI: 10.18716/nmrshiftdb2/10008612
title: NMR data for BENZENE,HEXAMETHYL; hexamethylbenzene
DOI: 10.18716/nmrshiftdb2/10008613
title: NMR data for methylbenzene; TOLUENE
DOI: 10.18716/nmrshiftdb2/10008614
title: NMR data for BENZENE,1-AMINO,2-ETHYL
DOI: 10.18716/nmrshiftdb2/10008615
title: NMR data for ANILINE,N-ETHYL
DOI: 10.18716/nmrshiftdb2/10008616
title: NMR data for 2-NITRO-ANILINE; 2-nitroaniline; o-nitroaniline; ortho-nitroaniline
DOI: 10.18716/nmrshiftdb2/10008617
title: NMR data for 3-NITRO-ANILINE
DOI: 10.18716/nmrshiftdb2/10008618
title: NMR data for 4-NITRO-ANILINE
DOI: 10.18716/nmrshiftdb2/10008619
title: NMR data for 2-AMINO-PHENOLE
DOI: 10.18716/nmrshiftdb2/10008620
title: NMR data for 4-AMINO-PHENOL
DOI: 10.18716/nmrshiftdb2/10008620/chemikalienlager_uni_mainz_dmso-d6
title: Chemikalienlager Uni Mainz NMR dataset for 4-AMINO-PHENOL in Dimethylsulphoxide-D6 (DMSO-D6, C2D6SO)
DOI: 10.18716/nmrshiftdb2/10008621
title: NMR data for 2-METHOXY-ANILINE
DOI: 10.18716/nmrshiftdb2/10008622
title: NMR data for 4-METHOXY-ANILINE
DOI: 10.18716/nmrshiftdb2/10008623
title: NMR data for 4-AMINO-ACETOPHENON
DOI: 10.18716/nmrshiftdb2/10008624
title: NMR data for 4-AMINO-BENZOIC ACID
DOI: 10.18716/nmrshiftdb2/10008625
title: NMR data for 2-AMINO,5-CHLORO-BENZOPHENONE
DOI: 10.18716/nmrshiftdb2/10008626
title: NMR data for 5-CHLORO,2-NITRO-ANILINE
DOI: 10.18716/nmrshiftdb2/10008627
title: NMR data for 4-AMINO,2-HYDROXY-BENZOIC ACID
DOI: 10.18716/nmrshiftdb2/10008628
title: NMR data for 1,2,3-PROPANETRICARBOXYLIC ACID,2-HYDROXY (CITRIC ACID)
DOI: 10.18716/nmrshiftdb2/10008629
title: NMR data for ACETIC ACID,OXO,PHENYL (PHENYLGLYOXYLIC ACID)
DOI: 10.18716/nmrshiftdb2/10008631
title: NMR data for PHTHALIC ACID,DIETHYL ESTER
DOI: 10.18716/nmrshiftdb2/10008632
title: NMR data for 1,3,5-BENZENETRICARBOXYLIC ACID,TRIMETHYL ESTER; trimethyl 1,3,5-benzenetricarboxylate
DOI: 10.18716/nmrshiftdb2/10008633
title: NMR data for 2-AMINOPYRIDINE
DOI: 10.18716/nmrshiftdb2/10008634
title: NMR data for N-METHYL-PIPERAZINE
DOI: 10.18716/nmrshiftdb2/10008635
title: NMR data for BENZOXAZOLINE,2-THIONE
DOI: 10.18716/nmrshiftdb2/10008636
title: NMR data for INDANEDIONE-1,3
DOI: 10.18716/nmrshiftdb2/10008637
title: NMR data for 1,3-BENZENEDICARBOXYLIC ACID,DIMETHYL ESTER
DOI: 10.18716/nmrshiftdb2/10008638
title: NMR data for N,N-DICYCLOHXYL-AMINE
DOI: 10.18716/nmrshiftdb2/10008639
title: NMR data for 1,2-dimethoxyethane; 1,2-ETHANEDIOL,DIMETHYL ETHER (DIMETHYLGLYCOL)
DOI: 10.18716/nmrshiftdb2/10008640
title: NMR data for PROP-2-EN-1-OL
DOI: 10.18716/nmrshiftdb2/10008641
title: NMR data for PIPERAZINE (HEXAHYDRATE)
DOI: 10.18716/nmrshiftdb2/10008642
title: NMR data for 6-AMINO-HEXAN-1-OL
DOI: 10.18716/nmrshiftdb2/10008643
title: NMR data for DIISOPROPYL-ETHER
DOI: 10.18716/nmrshiftdb2/10008644
title: NMR data for N-CYCLOHEXYL,N-ETHYL-AMINE
DOI: 10.18716/nmrshiftdb2/10008645
title: NMR data for N-CYCLOHEXYL-2-AMINO-PROPANOL
DOI: 10.18716/nmrshiftdb2/10008646
title: NMR data for 1,3,4-OXADIAZOLINE,2-ONE,5-(1-PROPENYL (TRANS))
DOI: 10.18716/nmrshiftdb2/10008647
title: NMR data for 2-HYDROXY,3-METHOXY-BENZALDEHYDE (O-VANILLIN)
DOI: 10.18716/nmrshiftdb2/10008648
title: NMR data for 4-HYDROXY,3-METHOXY-BENZALDEHYDE
DOI: 10.18716/nmrshiftdb2/10008649
title: NMR data for 3,4-DIMETHOXY-BENZALDEHYDE
DOI: 10.18716/nmrshiftdb2/10008650
title: NMR data for 4-DIMETHYL-AMINO-BENZALDEHYDE
DOI: 10.18716/nmrshiftdb2/10008651
title: NMR data for METHOXY-BENZENE (ANISOL)
DOI: 10.18716/nmrshiftdb2/10008652
title: NMR data for 1-PENTANOL
DOI: 10.18716/nmrshiftdb2/10008653
title: NMR data for 1-HEPTANOL
DOI: 10.18716/nmrshiftdb2/10008654
title: NMR data for 1-NONANOL
DOI: 10.14469/hpc/6894
title: 2-isopropyl-5-methylphenyl icosanoate

description: The novel ester product (thymyl arachidate, or 2-isopropyl-5-methylphenyl icosanoate) formed by refluxing thymol and arachidic acid in acetonitrile with EDC.HCl and DMAP. The acid was not particularly soluble in the reaction mixture until heated and stirred vigorously, and the reaction solution was clear during reflux with the product falling out of solution as it cooled. Upon use of a Rotavapor with a waterbath at 40 ºC to dry the product after workup, the product was a clear oil which turned cloudy and then solidified as a white wax when left to return to room temperature and pressure.
DOI: 10.5281/zenodo.4310136
title: 3D mesh model and raw images of a drifting iceberg in the Vaigat Strait (NW Greenland) on 3 August 2019

description: This dataset consists of low-altitude aerial imagery that was acquired by a DJI Phantom 3 Standard unoccupied aerial vehicle (UAV) in the Vaigat Strat in northwest Greenland on 3 August 2019. The UAV survey commenced at 15:06 UTC. These images were processed in Agisoft PhotoScan Pro (v1.4; Linux Ubuntu). During the image alignment step in PhotoScan, the ‘High’ accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were disabled. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the lens parameters were computed. The dense point cloud was then computed using the ‘High’ setting, followed by the textured mesh. The mesh model was exported in .obj and .pdf formats. A complete file list is provided in the README file that accompanies this dataset. This dataset is discussed in: Carlson et al. Quantifying iceberg deterioration using UAV imagery and Structure from Motion photogrammetry software. Submitted to <em>Remote Sensing.</em>
DOI: 10.5281/zenodo.4310135
title: 3D mesh model and raw images of a drifting iceberg in the Vaigat Strait (NW Greenland) on 3 August 2019

description: This dataset consists of low-altitude aerial imagery that was acquired by a DJI Phantom 3 Standard unoccupied aerial vehicle (UAV) in the Vaigat Strat in northwest Greenland on 3 August 2019. The UAV survey commenced at 15:06 UTC. These images were processed in Agisoft PhotoScan Pro (v1.4; Linux Ubuntu). During the image alignment step in PhotoScan, the ‘High’ accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were disabled. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the lens parameters were computed. The dense point cloud was then computed using the ‘High’ setting, followed by the textured mesh. The mesh model was exported in .obj and .pdf formats. A complete file list is provided in the README file that accompanies this dataset. This dataset is discussed in: Carlson et al. Quantifying iceberg deterioration using UAV imagery and Structure from Motion photogrammetry software. Submitted to <em>Remote Sensing.</em>
DOI: 10.5281/zenodo.4298896
title: Multi-fidelity Generative Deep Learning Turbulent Flows

description: Data sets for the two numerical examples in the paper Multi-fidelity Generative Deep Learning Turbulent Flows. In this work, a novel multi-fidelity deep generative model is introduced for the surrogate modeling of high-fidelity turbulent flow fields given the solution of a computationally inexpensive but inaccurate low-fidelity solver. The resulting surrogate is able to generate physically accurate turbulent realizations at a computational cost magnitudes lower than that of a high-fidelity simulation. The deep generative model developed is a conditional invertible neural network, built with normalizing flows, with recurrent LSTM connections that allow for stable training of transient systems with high predictive accuracy. Data is provided from OpenFOAM LES simulations for turbulent flow over backwards step and flow around an array of cylinders.
description: Please see readme.txt in each data set for additional information.
description: {"references": ["https://arxiv.org/abs/2006.04731"]}
DOI: 10.34740/kaggle/dsv/1721885
title: BART Ridership
DOI: 10.5281/zenodo.4310145
title: 3D mesh model and raw images of a drifting iceberg in the Vaigat Strait (NW Greenland) on 6 August 2019

description: This dataset consists of low-altitude aerial imagery that was acquired by a DJI Phantom 3 Standard unoccupied aerial vehicle (UAV) in the Vaigat Strat in northwest Greenland on 6 August 2019. The UAV survey commenced at 11:10 UTC. These images were processed in Agisoft PhotoScan Pro (v1.4; Linux Ubuntu). During the image alignment step in PhotoScan, the ‘High’ accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were disabled. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the lens parameters were computed. The dense point cloud was then computed using the ‘High’ setting, followed by the textured mesh. The mesh model was exported in .obj and .pdf formats. A complete file list is provided in the README file that accompanies this dataset. This dataset is discussed in: Carlson et al. Quantifying iceberg deterioration using UAV imagery and Structure from Motion photogrammetry software. Submitted to <em>Remote Sensing.</em>
DOI: 10.5281/zenodo.4310144
title: 3D mesh model and raw images of a drifting iceberg in the Vaigat Strait (NW Greenland) on 6 August 2019

description: This dataset consists of low-altitude aerial imagery that was acquired by a DJI Phantom 3 Standard unoccupied aerial vehicle (UAV) in the Vaigat Strat in northwest Greenland on 6 August 2019. The UAV survey commenced at 11:10 UTC. These images were processed in Agisoft PhotoScan Pro (v1.4; Linux Ubuntu). During the image alignment step in PhotoScan, the ‘High’ accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were disabled. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the lens parameters were computed. The dense point cloud was then computed using the ‘High’ setting, followed by the textured mesh. The mesh model was exported in .obj and .pdf formats. A complete file list is provided in the README file that accompanies this dataset. This dataset is discussed in: Carlson et al. Quantifying iceberg deterioration using UAV imagery and Structure from Motion photogrammetry software. Submitted to <em>Remote Sensing.</em>
DOI: 10.5517/ccdc.csd.cc25qc8k
title: CCDC 2017488: Experimental Crystal Structure Determination

description: Related Article: Hui Zhang, Ming Wang, Xuefeng Jiang|2020|Green Chemistry|22|8238|doi:10.1039/D0GC03135F
DOI: 10.5517/ccdc.csd.cc25x82g
title: CCDC 2023155: Experimental Crystal Structure Determination

description: Related Article: Iddum Satyanarayana, Kiran B. Manjappa, Ding-Yah Yang|2020|Green Chemistry|22|8316|doi:10.1039/D0GC03411H
DOI: 10.5517/ccdc.csd.cc25x83h
title: CCDC 2023156: Experimental Crystal Structure Determination

description: Related Article: Iddum Satyanarayana, Kiran B. Manjappa, Ding-Yah Yang|2020|Green Chemistry|22|8316|doi:10.1039/D0GC03411H
DOI: 10.5517/ccdc.csd.cc2692d0
title: CCDC 2034511: Experimental Crystal Structure Determination

description: Related Article: Pei-Xin Li, Zhi-Xin Xie, Ai-Ping Jin, Jing Li, Guo-Cong Guo|2020|Chem.Commun.|56|14689|doi:10.1039/D0CC06019D
DOI: 10.5517/ccdc.csd.cc269nqx
title: CCDC 2035079: Experimental Crystal Structure Determination

description: Related Article: A.A. Korlyukov, A.V. Vologzhanina, D. Trzybinski, M. Malinska, K. Wozniak|2020|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|76|1018|doi:10.1107/S2052520620013244
DOI: 10.5517/ccdc.csd.cc248j0z
title: CCDC 1974390: Experimental Crystal Structure Determination

description: Related Article: Pei-Xin Li, Zhi-Xin Xie, Ai-Ping Jin, Jing Li, Guo-Cong Guo|2020|Chem.Commun.|56|14689|doi:10.1039/D0CC06019D
DOI: 10.5281/zenodo.4310150
title: RDP taxonomic training data formatted for DADA2 (RDP trainset 18/release 11.5)

description: These DADA2-formatted training fasta files were derived from the Ribosomal Database Project's Training Set 18 and the 11.5 release of the RDP database. These fastas were generated by the following commands (using the dada2 R package version 1.19.1): ## The RDP trainset data was downloaded from: https://sourceforge.net/projects/rdp-classifier/files/RDP_Classifier_TrainingData/<br> path &lt;- "~/Desktop/RDP/RDPClassifier_16S_trainsetNo18_rawtrainingdata"<br> dada2:::makeTaxonomyFasta_RDP(file.path(path, "trainset18_062020.fa"), <br> file.path(path, "trainset18_db_taxid.txt"), <br> "~/tax/rdp_train_set_18.fa.gz")<br> ## Download "ten_16s.100.fa" from Robert Edgar's taxonomy testing page: https://drive5.com/taxxi/doc/fasta_index.html<br> dada2:::tax.check("~/tax/rdp_train_set_18.fa.gz", "~/Desktop/ten_16s.100.fa") ## This function creates the dada2 assignSpecies fasta file for the RDP from the RDP's _Bacteria_unaligned.fa file.<br> dada2:::makeSpeciesFasta_RDP("~/Desktop/RDP/current_Bacteria_unaligned.fa", "~/tax/rdp_species_assignment_18.fa.gz")<br> dada2:::tax.check("~/tax/rdp_species_assignment_18.fa.gz", "~/Desktop/ten_16s.100.fa", mode="species")
DOI: 10.25829/idiv.1877-4-3160
title: PhenObs: Phenological observation dataset from 2017-2018

description: The data set contains information on phenological events from a two-year, multi-site pilot study monitoring 16 phenological stages in four German botanical gardens in 129 (2017) and 197 (2018) vascular plant species, respectively.
DOI: 10.34740/kaggle/dsv/1721919
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.6084/m9.figshare.12585167
title: 2015-2017 Mesopredator release data

description: This data was used to estimate habitat use by red foxes and American mink as well as estimate nest and chick survival when red foxes were absent from NJ beaches.
DOI: 10.6084/m9.figshare.12585167.v1
title: 2015-2017 Mesopredator release data

description: This data was used to estimate habitat use by red foxes and American mink as well as estimate nest and chick survival when red foxes were absent from NJ beaches.
DOI: 10.15468/q57emf
title: Further notes on the flower chafer genus Platysodes Westwood, 1873 (Coleoptera Scarabaeidae: Cetoniinae) with description of a new species from Himalaya

description: This dataset contains the digitized treatments in Plazi based on the original journal article Qiu, Jian-Yue, Xu, Hao (2020): Further notes on the flower chafer genus Platysodes Westwood, 1873 (Coleoptera Scarabaeidae: Cetoniinae) with description of a new species from Himalaya. Zootaxa 4890 (2): 192-200, DOI: https://doi.org/10.11646/zootaxa.4890.2.2
DOI: 10.6084/m9.figshare.13344260
title: Chick habitat use, growth rate, and survival data

description: This data was used to estimate habitat use, growth rates, foraging rates, and daily survival rates for piping plover chicks in New Jersey.
DOI: 10.5281/zenodo.4310074
title: Data for Developmental cell programs are co-opted in inflammatory skin disease - filtered, annotated anndata object

description: Dataset to accompany BioRxiv preprint "Poised cell circuits in human skin are activated in disease" (https://www.biorxiv.org/content/10.1101/2020.11.05.369363v1). Data in AnnData (h5ad) format. Preprocessed to exclude doublets and low quality cells (&lt;200 genes and &gt;20% mitochondrial content). Includes neighborhood graph and UMAP coordinates and annotation from the manuscript in metadata. Full dataset with annotation ("full_clustering") in obs.
description: This has been updated - the previous version had multiple old annotations that are no longer in use,
DOI: 10.15468/58dqrn
title: Two new species of Flintiella Angrisano 1995 (Trichoptera: Hydroptilidae Stactobiini) from northern Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Neto, Jaime De Liege Gama, Ribeiro, José Moacir Ferreira, Passos, Mahedy Araujo Bastos (2020): Two new species of Flintiella Angrisano 1995 (Trichoptera: Hydroptilidae Stactobiini) from northern Brazil. Zootaxa 4890 (2): 283-288, DOI: https://doi.org/10.11646/zootaxa.4890.2.9
DOI: 10.6084/m9.figshare.13017518
title: AFC.liftover.biallelic.SNP.vcf.gz

description: VCF file projected into An funestus coordinates<br>
DOI: 10.6084/m9.figshare.13017518.v1
title: AFC.liftover.biallelic.SNP.vcf.gz

description: VCF file projected into An funestus coordinates<br>
DOI: 10.6084/m9.figshare.13017512.v1
title: AFC.progCactus.ref_aln.maf.gz

description: Genome alignments of reference species<br>
DOI: 10.6084/m9.figshare.13017512
title: AFC.progCactus.ref_aln.maf.gz

description: Genome alignments of reference species<br>
DOI: 10.6084/m9.figshare.13017506
title: AFC.FILET.fv.tar.gz

description: Feature vectors used for classifying windows<br>
DOI: 10.6084/m9.figshare.13017506.v2
title: AFC.FILET.fv.tar.gz

description: Feature vectors used for classifying windows<br>
DOI: 10.6084/m9.figshare.13017506.v1
title: AFC.FILET.fv.tar.gz

description: Feature vectors used for classifying windows<br>
DOI: 10.6084/m9.figshare.13017488
title: Phylogenies Chromosome

description: Phylogenies along the chromosome arms using PhyML in 5,000 base pair windows. Phylogenies contain 2 haplotypes for each individual sequenced.<br>
DOI: 10.15139/s3/xzgeky
title: Safe Streets Long Beach: A Vision Zero Action Plan (2020). Long Beach, California

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.15468/cycynp
title: A tale of two genera: the revival of Hoplodoris (Nudibranchia: Discodorididae) with the description of new species of Hoplodoris and Asteronotus

description: This dataset contains the digitized treatments in Plazi based on the original journal article Donohoo, Samantha A., Gosliner, Terrence M. (2020): A tale of two genera: the revival of Hoplodoris (Nudibranchia: Discodorididae) with the description of new species of Hoplodoris and Asteronotus. Zootaxa 4890 (1): 1-37, DOI: https://doi.org/10.11646/zootaxa.4890.1.1
DOI: 10.6069/e4wc-8365
title: ORB General Population COVID-19 Health Services Disruption Survey 2020

description: "The COVID-19 Health Services Disruption Survey 2020 is a series of surveys developed to assess the level of disruption to a range of health services resulting from the COVID-19 pandemic and subsequent government mandates and changes in behavior to mitigate the spread of the disease.

This survey was conducted by ORB International via telephone interview using nationally representative samples in Kenya, Nigeria, and South Africa. Respondents were individual members of the general population. Data were collected from 3,058 respondents. The survey focused on the level of disruption to the provision of general and reproductive health services, including access to medication and family planning.

The survey was developed specifically to assess the change in levels of service delivery prior to, and immediately following, the onset of the COVID-19 global pandemic. Data generated from this survey is not intended to be used as an overall estimate of the level of health service delivery."
DOI: 10.21227/fvjj-ke63
title: Discriminative Concept Learning Network: Sample Source Code and Supplement (Project Archive)

description: Summary: The archive of DCLN project (https://sourceforge.net/projects/dcln/) is provided.Code & Script: Written in C/C++, running Shell scripts on Linux system. Mature package release v2.0 available for download. Check './dcln.sh' for usage info.Document: Details of hyperparameters tuning, data preprocessing and code compiling are given.Data: Four nonlinear simulation datasets are provided (Fig. 2 of the main paper). Each study has ~2000 training samples and ~2000 test samples.
DOI: 10.5066/p98h46dg
title: Quality-Control Data for Volatile Organic Compounds and Environmental Sulfur-Hexafluoride Data for Groundwater Samples from the Williston Basin, USA

description: In 2018, groundwater samples were collected from aquifers in the Williston Basin in parts of eastern Montana, western North Dakota, and northwestern South Dakota. This dataset includes quality-control data for volatile organic compounds that include data for source-solution blanks and field blanks. The dataset also includes data for sulfur hexafluoride in environmental samples of groundwater.
DOI: 10.15468/vmcche
title: Taxonomic study of the genus Promalactis Meyrick, 1908 (Lepidoptera: Oecophoridae) IX. The maculosa species-group, with descriptions of eighteen new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wang, Shuxia, Liu, Chen (2020): Taxonomic study of the genus Promalactis Meyrick, 1908 (Lepidoptera: Oecophoridae) IX. The maculosa species-group, with descriptions of eighteen new species. Zootaxa 4890 (1): 38-66, DOI: https://doi.org/10.11646/zootaxa.4890.1.2
DOI: 10.15468/hygdsh
title: An annotated catalogue of the genus Tachysphex Kohl, 1883 of Iran (Hymenoptera Apoidea, Crabronidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Rezaei, Shohreh, Fallahzadeh, Majid, Saghaei, Nazila, Sadeghi, Maryam (2020): An annotated catalogue of the genus Tachysphex Kohl, 1883 of Iran (Hymenoptera Apoidea, Crabronidae). Zootaxa 4890 (1): 67-82, DOI: https://doi.org/10.11646/zootaxa.4890.1.3
DOI: 10.15468/7kcgrg
title: Description of larva and female of Polypedilum (Probolum) bullum Zhang & Wang with DNA barcodes

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lei, Qi, Chen, Jinxian, Song, Chao, Qi, Xin, Zhang, Ruilei (2020): Description of larva and female of Polypedilum (Probolum) bullum Zhang & Wang with DNA barcodes. Zootaxa 4890 (2): 257-265, DOI: https://doi.org/10.11646/zootaxa.4890.2.6