cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48443/8v0t-9889
title: Invertebrate bycatch in ethanol from BET pitfall traps at BART, DSNY, OSBS, ORNL, and ONAQ 2014-2015

description: Invertebrate bycatch samples were collected during the sampling years 2014 and 2015 according to the ground beetle sampling protocol at the time (NEON.DOC.014050vE and NEON.DOC.014050vH). Due to collection error, it is unknown whether samples came from one or more pitfall traps or where pitfall traps were located; only plot locations are known (location uncertainty is approx. 20 meters instead of 2 meters). Plot IDs and dates of collection are accurate and therefore samples were deemed useful to retain.
description: Sampling occurred at distributed base plots within Bartlett Experimental Forest (https://www.neonscience.org/field-sites/field-sites-map/BART), Disney Wilderness Preserve (https://www.neonscience.org/field-sites/field-sites-map/DSNY), Ordway-Swisher Biological Station (https://www.neonscience.org/field-sites/field-sites-map/OSBS), Oak Ridge (https://www.neonscience.org/field-sites/field-sites-map/ORNL), or Onaqui-Ault (https://www.neonscience.org/field-sites/field-sites-map/ONAQ). Sampling occurred according to the design laid out in the ground beetle science design (http://data.neonscience.org/api/v0/documents/NEON.DOC.000909vB). Collection was performed exactly as is typical for the ground beetle data product at the time of collection (see protocols http://data.neonscience.org/api/v0/documents/NEON.DOC.014050vE and http://data.neonscience.org/api/v0/documents/NEON.DOC.014050vH). The primary difference is that these records are limited to plot level resolution, as individual pitfall trap locations are not known. See the data product "Ground Beetles sampled from pitfall traps" for additional details about typical sampling (https://data.neonscience.org/data-products/DP1.10022.001).
DOI: 10.48443/khf3-v160
title: Identified carabids in ethanol from beetle pitfall traps at ORNL, OSBS, and DSNY 2014-2015

description: Carabid samples were collected and identified during the sampling years 2014 and 2015 according to the ground beetle sampling protocols at the time (NEON.DOC.014050vE and NEON.DOC.014050vH). Due to collection error, it is unknown whether samples came from one or more pitfall traps or where pitfall traps were located; only plot locations are known (location uncertainty is approx. 20 meters instead of 2 meters). Plot IDs and dates of collection are accurate and therefore samples were deemed useful to retain.
description: Sampling occurred at distributed base plots within Oak Ridge (https://www.neonscience.org/field-sites/field-sites-map/ORNL), Disney Wilderness Preserve (https://www.neonscience.org/field-sites/field-sites-map/DSNY) or Ordway-Swisher Biological Station (https://www.neonscience.org/field-sites/field-sites-map/OSBS). Sampling occurred according to the design laid out in the ground beetle science design (http://data.neonscience.org/api/v0/documents/NEON.DOC.000909vB). Collection was performed exactly as is typical for the ground beetle data product at the time of collection (see protocol http://data.neonscience.org/api/v0/documents/NEON.DOC.014050vE and http://data.neonscience.org/api/v0/documents/NEON.DOC.014050vH). The primary difference is that these records are limited to plot level resolution, as individual pitfall trap locations are not known. See the data product "Ground Beetles sampled from pitfall traps" for additional details about typical sampling (https://data.neonscience.org/data-products/DP1.10022.001)
DOI: 10.48443/7ay8-e395
title: NEON prototype reaeration data from Blue River (BLUE), 2016

description: This data package contains data from a modified version of NEON's wadeable stream reaeration sampling protocol. 
Due to high discharge and large stream width at BLUE, there was concern that the typical NEON reaeration protocol (NEON.DOC.000693) would require a large amount of salt and wouldn’t allow for sufficient mixing across the stream. This led to the trial of a reaeration bout in August 2016 with the following modifications to the regular protocol:
1.	No continuous salt injection was conducted.
2.	Discharge was taken at each of the 4 sampling stations to assess ground water inputs instead of using the conservative tracer.
3.	A salt slug of NaCl was deployed at the SF6 injection site to assess travel time. Slug solution was deployed in multiple locations to aid with even mixing. 4 HOBO loggers were deployed (one at each station).
4.	SF6 was deployed using 4 air stones distributed evenly across the stream.
5.	Wetted widths were collected as well as depth measurements. Depth measurements were collected because back-calculating depth would be difficult with the very deep pools, and would likely not capture the more shallow areas where reaeration is occurring in this big river.
This data package includes field and external laboratory data from the modified protocol at the Blue River site.
description: In the typical NEON reaeration protocol, tracer injections of volatile gas are completed to capture a range of flows at NEON wadeable stream sites. The first sampling station is located near sensor set #1 and the fourth sampling station is located near sensor set #2. Sampling stations #2 and #3 are approximately evenly spaced between sampling stations #1 and #4. See the abstract for details on how this package differs from the typical NEON reaeration protocol: Reaeration in Streams [NEON.DOC.000693](http://data.neonscience.org/api/v0/documents/NEON.DOC.000693vH)
DOI: 10.5281/zenodo.4755063
title: Draft genome and annotation of C. crocodilus 171438

description: A draft genome sequence and annotation for the common, or spectacled caiman
DOI: 10.5281/zenodo.4755062
title: Draft genome and annotation of C. crocodilus 171438

description: A draft genome sequence and annotation for the common, or spectacled caiman
DOI: 10.25919/qw7b-jc56
title: Pollen DNA metabarcoding of Australian honey

description: Supporting information for "Pollen DNA metabarcoding identifies regional provenance and high plant diversity in Australian honey". Abstract: Accurate identification of the botanical components of honey can be used to establish its geographical provenance, while also providing insights into honey bee (Apis mellifera L.) diet and foraging preferences. DNA metabarcoding has been demonstrated as a robust method to identify plant species from pollen and pollen-based products, including honey. We investigated the use of pollen metabarcoding to identify the floral sources and local foraging preferences of honey bees using 15 honey samples from six bioregions from eastern and western Australia. We used two plant metabarcoding markers, ITS2 and the trnL P6 loop. Both markers combined identified a total of 55 plant families, 67 genera and 43 species. The trnL P6 loop marker provided significantly higher detection of taxa, detecting an average of 15.6 taxa per sample, compared to 4.6 with ITS2. Most honeys were dominated by Eucalyptus and other Myrtaceae species, with a few honeys dominated by Macadamia (Proteaceae) and Fabaceae. Metabarcoding detected the nominal primary source provided by beekeepers amongst the top five most abundant taxa for 85% of samples. We found that eastern and western honeys could be clearly differentiated by their floral composition, and clustered into bioregions with the trnL marker. Comparison with previous results obtained from melissopalynology shows that metabarcoding can detect similar numbers of plant families and genera, but provides significantly higher resolution at species level. Our results show that pollen DNA metabarcoding is a powerful and robust method for detecting honey provenance and examining the diet of honey bees. This is particularly relevant for hives foraging on the unique and diverse flora of the Australian continent, with the potential to be used as a novel monitoring tool for honey bee floral resources.
DOI: 10.6084/m9.figshare.14582886
title: Datasets and Codes

description: In this file, you will be finding all the datasets and annotated code implementations in R. Detailed instructions on how to get the code running are shared in the script.
DOI: 10.5281/zenodo.4755211
title: proactivWorkflow: Identifying active and alternative promoters from RNA-Seq data with proActiv

description: This data set comprises one tar file containing all files necessary for the running of the proactivWorkflow package. RDS files corresponding to promoter annotations for GENCODE v19 and v34 are provided for direct loading into R. Directory TCGA_Kidney_Junction_Files contains processed junction files (BED) of KIRC normal and tumour samples (Source: The Cancer Genome Atlas Research Network, https://portal.gdc.cancer.gov/) Directory Yan_Junction_Files contains processed junction files (BED) of human preimplantation embryos and human embryonic stem cells (Raw sequencing data: GSE36552, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE36552) gencode.v19.annotation.gtf: GENCODE annotations (Human Release 19) <br> (Source: GENCODE, https://www.gencodegenes.org/human/release_19.html) gencode.v34.annotation.gtf: GENCODE annotations (Human Release 34) <br> (Source: GENCODE, https://www.gencodegenes.org/human/release_34.html) condition.tcga.rds: a character vector of the conditions for each KIRC sample condition.yan.rds: a character vector of the conditions for each embryo sample junctionFilePaths.tcga.rds: a character vector of the junction file paths for each KIRC sample junctionFilePaths.yan.rds: a character vector of the junction file paths for each embryo sample promoterAnnotation.gencodev19.rds: promoter annotation object corresponding to GENCODE annotation (Human Release 19) promoterAnnotation.gencodev34.rds: promoter annotation object corresponding to GENCODE annotation (Human Release 34)
DOI: 10.25346/s6/6i8jl1/kigzf3
title: text_1810s_kso.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/dzmicc
title: wlp_1810s_ksw.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/sv9dou
title: db_1850s_qoe.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/wnkieo
title: db_1810s_kwp.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/3kglth
title: db_1840s_ieo.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/dg8gow
title: db_1890s_lsp.zip
DOI: 10.25346/s6/6i8jl1/ig6eto
title: db_1820s_lse.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/mbig5c
title: db_1870s_fhs.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/zuumgj
title: db_1900s_ahs.zip
DOI: 10.25346/s6/6i8jl1/68fhry
title: db_1950s_shy.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/i52aet
title: db_1920s_bsj.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/roxfau
title: db_1910s_aow.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/xxivrw
title: db_1940s_jsk.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/edthwb
title: db_1930s_bkk.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/zihlzc
title: text_1870s_vuy.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/fsyt5i
title: text_1840s_nsq.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/ssrtea
title: text_1890s_jsq.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/k1x45o
title: text_1820s_jsi.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/55hsc1
title: text_1830s_bsu.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/9ny0vj
title: text_1860s_psi.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/ui7dkz
title: text_1970s_dhv.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/wtlfre
title: text_1940s_bsw.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/45dqyb
title: text_1900s_mse.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/0czjpa
title: text_1990s_bsj.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/ekklnr
title: text_1980s_bkk.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/ouhii5
title: text_1960s_xus.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/djq06z
title: wlp_1860s_los.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/ysuxdc
title: text_2000s_scc.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/tgcpvx
title: wlp_1840s_nsj.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/0qtur7
title: wlp_1820s_hsi.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/watpdd
title: wlp_1830s_ksq.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/u9fnlv
title: wlp_1850s_qis.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/gkcfaa
title: wlp_1890s_zna.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/no3zx3
title: wlp_1880s_bss.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/gnfxdp
title: wlp_1870s_hiw.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/a9tuoy
title: wlp_1990s_iuw.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/ozma0w
title: wlp_1960s_vus.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/j0navb
title: wlp_1910s_hse.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/mlgmft
title: wlp_1920s_bsq.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/5qumch
title: wlp_1900s_nsi.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/zoph6r
title: wlp_1930s_ney.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/vjjrdk
title: wlp_1980s_bsc.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/ryezhj
title: wlp_1940s_gax.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/7yosar
title: wlp_2000s_iey.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/ilyupb
title: wlp_1970s_dhv.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/mpszio
title: wlp_1950s_iie.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/e7zqjf
title: db_1830s_sje.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/o9r1we
title: db_1860s_msl.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/d09gnk
title: db_1960s_mns.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/lfnb1s
title: db_1880s_xjs.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/gisbd6
title: db_2000s_isu.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/porwir
title: db_1990s_uai.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/buhdq2
title: db_1980s_bxy.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/flevgb
title: db_1970s_qpj.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/2tiqnl
title: text_1910s_jue.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/qmhosl
title: lexicon_coha.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/zlir0a
title: sources.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/8gaxgr
title: text_1930s_bie.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/fjgn7t
title: text_1850s_jpr.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/ymdzaf
title: text_1920s_gte.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/fcv4yz
title: text_1880s_azz.zip

description: COHA collection
DOI: 10.25346/s6/6i8jl1/v6bdt6
title: text_1950s_ndz.zip

description: COHA collection
DOI: 10.17632/4mhyn84c3d.1
title: Data for: Palygorskite@Co3O4 nanocomposites as efficient peroxidase mimics for colorimetric detection of H2O2 and ascorbic acid

description: Data for the paper
DOI: 10.17632/mncndhrg5g.1
title: Data for: Optimal Exchange-Rate Policy Under Collateral Constraints and Wage Rigidity

description: This file contains the data for Argentina used in the paper "Optimal Exchange Rate Policy Under Collateral Constraints and Wage Rigidity." These data were used as input in Tables II and III and in Figure 3 of the paper.
DOI: 10.17632/7pcp6why8v.1
title: Data for: The impact of environmental policy stringency on industrial productivity growth: A semi-parametric study of OECD countries

description: The data contain all the available years overlapped between EPS index and EU KLEMS database, including 22 OECD countries: Australia, Austria, Belgium, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Korea, Netherlands, Poland, Portugal, Slovak Republic, Spain, Sweden, United Kingdom and United States.
DOI: 10.17632/hwzfm65gv8.1
title: Data for: Trace-element distributions in modern shallow marine ostracod shells and their implications as paleo-proxies.

description: This file contains the E/Ca ratios, stages and preservation of ostracods of Sinocytheridea impressa collected from Hong Kong waters.
DOI: 10.17632/kkk76z8g8z.1
title: Data for: Palygorskite@Co3O4 nanocomposites as efficient peroxidase mimics for colorimetric detection of H2O2 and ascorbic acid

description: Data for the paper
DOI: 10.5517/ccdc.csd.cc26s3ns
title: CCDC 2048965: Experimental Crystal Structure Determination

description: Related Article: Subhro Mandal, Animesh Pramanik|2021|J.Org.Chem.|86|5047|doi:10.1021/acs.joc.0c02973
DOI: 10.5517/ccdc.csd.cc26s3vz
title: CCDC 2048971: Experimental Crystal Structure Determination

description: Related Article: Subhro Mandal, Animesh Pramanik|2021|J.Org.Chem.|86|5047|doi:10.1021/acs.joc.0c02973
DOI: 10.5517/ccdc.csd.cc26s3w0
title: CCDC 2048972: Experimental Crystal Structure Determination

description: Related Article: Subhro Mandal, Animesh Pramanik|2021|J.Org.Chem.|86|5047|doi:10.1021/acs.joc.0c02973
DOI: 10.5517/ccdc.csd.cc277jkl
title: CCDC 2062819: Experimental Crystal Structure Determination

description: Related Article: Andrés Castro Ruiz, Krishna K. Damodaran, Sigridur G. Suman|2021|RSC Advances|11|16326|doi:10.1039/D1RA02909F
DOI: 10.5517/ccdc.csd.cc277jlm
title: CCDC 2062820: Experimental Crystal Structure Determination

description: Related Article: Andrés Castro Ruiz, Krishna K. Damodaran, Sigridur G. Suman|2021|RSC Advances|11|16326|doi:10.1039/D1RA02909F
DOI: 10.5517/ccdc.csd.cc277jmn
title: CCDC 2062821: Experimental Crystal Structure Determination

description: Related Article: Andrés Castro Ruiz, Krishna K. Damodaran, Sigridur G. Suman|2021|RSC Advances|11|16326|doi:10.1039/D1RA02909F
DOI: 10.5517/ccdc.csd.cc277qy5
title: CCDC 2063017: Experimental Crystal Structure Determination

description: Related Article: Benjamin Zonker, Jonathan Becker, Radim Hrdina|2021|Org.Biomol.Chem.|19|4027|doi:10.1039/D1OB00471A
DOI: 10.5517/ccdc.csd.cc2780yh
title: CCDC 2063296: Experimental Crystal Structure Determination

description: Related Article: Denise Ilari, Sarah Maskri, Dirk Schepmann, Jens Köhler, Constantin G. Daniliuc, Oliver Koch, Bernhard Wünsch|2021|Org.Biomol.Chem.|19|4082|doi:10.1039/D1OB00398D
DOI: 10.5517/ccdc.csd.cc278n7f
title: CCDC 2063894: Experimental Crystal Structure Determination

description: Related Article: Jethro Beamish-Cook, Kenneth Shankland, Claire A. Murray, Paz Vaqueiro|2021|Cryst.Growth Des.|21|3047|doi:10.1021/acs.cgd.1c00213
DOI: 10.5517/ccdc.csd.cc278n8g
title: CCDC 2063895: Experimental Crystal Structure Determination

description: Related Article: Jethro Beamish-Cook, Kenneth Shankland, Claire A. Murray, Paz Vaqueiro|2021|Cryst.Growth Des.|21|3047|doi:10.1021/acs.cgd.1c00213
DOI: 10.5281/zenodo.4755596
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.6084/m9.figshare.13326524
title: Table S1. All significantly dysregulated genes in heart

description: Cardiac gene expression changes upon HuR deletion in adipose tissue. We identified a total of 476 significantly dysregulated genes, as defined by a fold change of ≥ 1.5 and a false discover rate (FDR)-corrected <i>P </i>value of ≤ 0.05.
DOI: 10.6084/m9.figshare.13326524.v1
title: Table S1. All significantly dysregulated genes in heart

description: Cardiac gene expression changes upon HuR deletion in adipose tissue. We identified a total of 476 significantly dysregulated genes, as defined by a fold change of ≥ 1.5 and a false discover rate (FDR)-corrected <i>P </i>value of ≤ 0.05.
DOI: 10.6084/m9.figshare.13326659
title: Table S2. Upregulated GO terms in heart

description: Full list of significant Gene Ontology (GO) terms from significantly upregulated genes in hearts from Adipo-HuR-/- mice.
DOI: 10.6084/m9.figshare.13326659.v1
title: Table S2. Upregulated GO terms in heart

description: Full list of significant Gene Ontology (GO) terms from significantly upregulated genes in hearts from Adipo-HuR-/- mice.
DOI: 10.6084/m9.figshare.13326680
title: Table S3. All significantly dysregulated genes in scWAT

description: List of all significant differentially expressed genes in scWAT from Adipo-HuR<sup>-/- </sup>mice.
DOI: 10.6084/m9.figshare.13326680.v1
title: Table S3. All significantly dysregulated genes in scWAT

description: List of all significant differentially expressed genes in scWAT from Adipo-HuR<sup>-/- </sup>mice.
DOI: 10.6084/m9.figshare.13326692
title: Table S4. Significantly upregulated GO terms in scWAT

description: Full list of significant Gene Ontology (GO) terms from significantly upregulated genes in scWAT from Adipo-HuR<sup>-/- </sup>mice.
DOI: 10.6084/m9.figshare.13326692.v1
title: Table S4. Significantly upregulated GO terms in scWAT

description: Full list of significant Gene Ontology (GO) terms from significantly upregulated genes in scWAT from Adipo-HuR<sup>-/- </sup>mice.
DOI: 10.6084/m9.figshare.14583240.v1
title: Comprehensive library of small proteins of different microbial species

description: Small proteins with fewer than 50 residues have largely been neglected in the field of proteomics, where the focus has been on larger proteins with multiple domains. Such a situation is understandable given that proteins with more domains could potentially perform more tasks or are endowed with larger number of sensory functions. In addition, larger proteins migrate slower in gel electrophoresis and liquid chromatography, and are thus easier to detect. This work sought to provide fundamental information about the ensemble of small proteins in different microbial species that have been concatenated into a single database of small proteins. Original data came from UniProt, which were parsed by an in-house MATLAB proteome analysis software to yield protein name, amino acid sequence, number of residues, molecular weight, and nucleotide sequence. Overall, the database of small proteins of different microbial species that spans different domains and across 72 species should find use in a variety of workflows seeking to gain a more holistic understanding of these small proteins.
DOI: 10.6084/m9.figshare.14583240
title: Comprehensive library of small proteins of different microbial species

description: Small proteins with fewer than 50 residues have largely been neglected in the field of proteomics, where the focus has been on larger proteins with multiple domains. Such a situation is understandable given that proteins with more domains could potentially perform more tasks or are endowed with larger number of sensory functions. In addition, larger proteins migrate slower in gel electrophoresis and liquid chromatography, and are thus easier to detect. This work sought to provide fundamental information about the ensemble of small proteins in different microbial species that have been concatenated into a single database of small proteins. Original data came from UniProt, which were parsed by an in-house MATLAB proteome analysis software to yield protein name, amino acid sequence, number of residues, molecular weight, and nucleotide sequence. Overall, the database of small proteins of different microbial species that spans different domains and across 72 species should find use in a variety of workflows seeking to gain a more holistic understanding of these small proteins.
DOI: 10.6084/m9.figshare.14515860
title: Knowledge regarding face mask use during the pandemic in Dharan, Nepal

description: The knowledge of respondents about face mask use during the pandemic in Dharan, Nepal is shown. A key to the codes used in the Excel file is also provided.
DOI: 10.6084/m9.figshare.14515860.v1
title: Knowledge regarding face mask use during the pandemic in Dharan, Nepal

description: The knowledge of respondents about face mask use during the pandemic in Dharan, Nepal is shown. A key to the codes used in the Excel file is also provided.