cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3555361
title: Purification of HTT Q23 and Q54 from EXPI293F for mass spectrometry analysis 2019/09/30

description: <strong>Project: </strong>Biophysical investigation of purified HTT protein samples <strong>Experiment: </strong>Purification of Q23 and Q54 HTT from EXPI293F <strong>Date completed:­ </strong>2019/09/30 <strong>Rationale: </strong>Purify HTT Q23 and Q54 for mass spectrometry analysis
description: Dr. Harding is the recipient of the Huntington's Disease Society of America Berman Topper Career Development Fellowship which funds and supports this research, in addition to generous funding from the CHDI Foundation and the Huntington Society of Canada. The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.5281/zenodo.3555631
title: Metagenomic assembly and bin3C clustering result for a healthy human faecal microbiome transplant donor

description: Metagenomic WGS assembly and Hi-C deconvolution of a healthy human faecal microbiome transplant donor. Metagenomic assembly was produced using Spades (v3.13.1). Extracted MAGs were produced using bin3C (v0.3.3) and QC'd using CheckM (v1.0.18).
DOI: 10.5281/zenodo.3555632
title: bin3C clustering result for a healthy human faecal microbiome transplant donor

description: bin3C clustering and checkm QC results for a metagenomic Hi-C dataset of a healthy human faecal microbiome transplant donor. bin3C version 0.3.3
DOI: 10.5285/da9725f0-8a25-489a-b1fa-ee445b8fe5d3
title: Processed SAR Data over Erta 'Ale Volcano, Afar, Ethiopia

description: This dataset contains 204 ascending and 300 descending Sentinel-1 geocoded unwrapped interferograms and coherence, and 70 ascending and 102 descending Re-sampled Single Look Complex (RSLC) images for each acquisition date. This data set also includes the original size Digital Elevation Model (DEM) used during InSAR processing. Data used by: Moore et al, 2019, "The 2017 Eruption of Erta 'Ale Volcano, Ethiopia: Insights into the Shallow Axial Plumbing System of an Incipient Mid-Ocean Ridge".
DOI: 10.7910/dvn/mh3osr/foc1gu
title: nom_2014.xls

description: :unav
DOI: 10.7910/dvn/mh3osr/i7mf9i
title: 2-1-11c.xlsx

description: :unav
DOI: 10.7910/dvn/mh3osr/mag4fc
title: monitor_rf(5).xls

description: :unav
DOI: 10.7910/dvn/mh3osr/rpen62
title: nom-OKPD2_2019(1).xls

description: :unav
DOI: 10.7910/dvn/mh3osr/t7rcys
title: 2-1-2.xlsx

description: :unav
DOI: 10.7910/dvn/mh3osr/tr6jk1
title: macr5-2.tab

description: :unav
DOI: 10.7910/dvn/mh3osr/w09twc
title: Inv19.xls

description: :unav
DOI: 10.17632/yn534ck87j.1
title: Data for: Determining the source of silicrete sarsen stones
DOI: 10.7910/dvn/ebci2p/2icqmy
title: ISF_HNC10_gsm30_mom0.fits

description: HNC (1-0) moment 0 map
DOI: 10.15128/r13t945q78r
title: Splitting and recombination of bright-solitary-matter waves [dataset]

description: This thesis presents the very first experimental realisation of splitting and recombination of robust bright-solitary-matter waves on a narrow repulsive potential barrier. This system has intrinsic interest for fundamental studies of soliton phase and for the realisation of a soliton interferometer. An upgraded imaging system is presented, which is capable of imaging the bright-solitary-matter waves in-situ and across a wide range of magnetic fields. The system uses a combination of an offset-locked imaging laser, a high-intensity probe beam and a microwave-transfer adiabatic rapid passage of the atoms to an auxiliary imaging state which has favourable transition properties. BECs of Rb-85 are created by direct evaporative cooling, using an upgraded crossed optical dipole trap. Condensates of up to 7000 atoms are created, with greater than 80% purity. We develop a wavefunction engineering protocol, which allows us to transfer the condensate into a quasi-1D potential and systematically demonstrate regions of interatomic interactions where bright-solitary-matter waves can be formed, as well as regions where condensate collapse or breathing-mode phenomena are observed. The bright-solitary-matter waves are very robust, propagating without measurable dispersion for over 20s. The splitting of a soliton into two daughter solitons on a narrow blue-detuned optical potential is presented. We demonstrate full control over the transmission coefficient by varying the barrier height. Velocity selection between the outgoing daughter solitons is observed and quantified, whereby the transmitted daughter soliton always has a higher centre of mass kinetic energy than the reflected daughter soliton. Velocity-selection-mediated recombination on a wide barrier is demonstrated, as well as interference-mediated recombination on a narrow barrier. We observe large shot-to-shot fluctuations for the narrow barrier which are fully consistent with independently-determined uncertainties in the barrier position. For the first time we explore this experimentally and theoretically, both with Gross-Pitaevskii simulations and analytical approximations, putting new limits on the required parameters for future phase-sensitive interferometric measurements.
DOI: 10.7910/dvn/4xwtbk/cvmbwf
title: politicised_enforcement_China_replication_data .tab

description: Data
DOI: 10.7910/dvn/4xwtbk/p4schp
title: politicised_enforcement_China_code.do

description: Code
DOI: 10.5281/zenodo.3553633
title: Datasets of UV irradiance, visible and photosynthetically active radiation in Marambio, Antarctica from March 2017 to May 2019

description: GUV radiometer data from Marambio station for the period March 2017 - May 2019. UV-B and UV-A daily maximum irradiances and dailydoses. Daily noon UV index and total column ozone. Daily maximum irradiances at 555 nm (VIS) and daily maximum of photosynthetically active radiation. If you use the data, please contact Kaisa Lakkala, Finnish Meteorological Institute.
description: The units of the data set have been corrected.
DOI: 10.5281/zenodo.3553634
title: Datasets of UV irradiance, visible and photosynthetically active radiation in Marambio, Antarctica from March 2017 to May 2019

description: GUV radiometer data from Marambio station for the period March 2017 - May 2019. UV-B and UV-A daily maximum irradiances and dailydoses. Daily noon UV index and total column ozone. Daily maximum irradiances at 555 nm (VIS) and daily maximum of photosynthetically active radiation. If you use the data, please contact Kaisa Lakkala, Finnish Meteorological Institute.
DOI: 10.7910/dvn/d04wnj/bsbxrl
title: ISFextended_HCNvsHNC_TKmap.fits

description: TK(HCN/HNC) temperature map
DOI: 10.5281/zenodo.3553783
title: Diamond database for taxonomic annotation of fungal metatranscriptomics

description: This is a protein fasta dataset for use with diamond. The <strong>fasta.gz</strong> file contains protein sequences for the following: 1,164 genomes downloaded from JGI (<strong>taxonomy_taxids.tsv</strong>) 121 genomes that are part of the taxmapper database (<strong>taxmapper_taxonomy_taxids.tsv</strong>) of which 6 were fungal the <em>Hygrophorus russula </em>MG78<em> </em>genome downloaded from NCBI. For the <em>H. russula</em> genome, genes were predicted using Augustus (v. 3.2.3) with the laccaria_bicolor model. The final protein database consists of a total of 17,694,143 protein sequences (14,976,193 from JGI, 2,708,401 from taxmapper and 9,549 from <em>H. russula</em>). The fasta file and associated taxonomic information files (nodes.dmp.gz & taxonmap.gz) can be used to build a diamond database compatible with diamond version 0.9.22: <pre><code class="language-bash">zcat fasta.gz | diamond makedb -d diamond --taxonmap taxonmap.gz --taxonnodes nodes.dmp</code></pre>
DOI: 10.7910/dvn/38tzam/prsbc6
title: ISF_H41a_gsm30_mom0.fits

description: H41alpha moment 0 map
DOI: 10.5281/zenodo.3553782
title: Diamond database for taxonomic annotation of fungal metatranscriptomics

description: This is a protein fasta dataset for use with diamond. The <strong>fasta.gz</strong> file contains protein sequences for the following: 1,164 genomes downloaded from JGI (<strong>taxonomy_taxids.tsv</strong>) 121 genomes that are part of the taxmapper database (<strong>taxmapper_taxonomy_taxids.tsv</strong>) of which 6 were fungal the <em>Hygrophorus russula </em>MG78<em> </em>genome downloaded from NCBI. For the <em>H. russula</em> genome, genes were predicted using Augustus (v. 3.2.3) with the laccaria_bicolor model. The final protein database consists of a total of 17,694,143 protein sequences (14,976,193 from JGI, 2,708,401 from taxmapper and 9,549 from <em>H. russula</em>). The fasta file and associated taxonomic information files (nodes.dmp.gz & taxonmap.gz) can be used to build a diamond database compatible with diamond version 0.9.22: <pre><code class="language-bash">zcat fasta.gz | diamond makedb -d diamond --taxonmap taxonmap.gz --taxonnodes nodes.dmp</code></pre>
DOI: 10.5281/zenodo.3555522
title: Mass spectrometry analysis of contaminating band in HTT samples 2019/10/31

description: <strong>Project: </strong>Biophysical investigation of purified HTT protein samples <strong>Experiment: </strong>Mass spectrometry analysis of contaminating band in HTT samples <strong>Date completed:­ </strong>2019/10/31 <strong>Rationale: </strong>To determine the identity of ~100 kDa band seen on SDS-PAGE in HTT preps – see https://zenodo.org/record/3555378
description: Dr. Harding is the recipient of the Huntington's Disease Society of America Berman Topper Career Development Fellowship which funds and supports this research, in addition to generous funding from the CHDI Foundation and the Huntington Society of Canada. The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.5281/zenodo.3555523
title: Mass spectrometry analysis of contaminating band in HTT samples 2019/10/31

description: <strong>Project: </strong>Biophysical investigation of purified HTT protein samples <strong>Experiment: </strong>Mass spectrometry analysis of contaminating band in HTT samples <strong>Date completed:­ </strong>2019/10/31 <strong>Rationale: </strong>To determine the identity of ~100 kDa band seen on SDS-PAGE in HTT preps – see https://zenodo.org/record/3555378
description: Dr. Harding is the recipient of the Huntington's Disease Society of America Berman Topper Career Development Fellowship which funds and supports this research, in addition to generous funding from the CHDI Foundation and the Huntington Society of Canada. The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.6073/pasta/02f7c0f77f7af1605b7e971bc95b11e9
title: North Temperate Lakes LTER: Snow and Ice Depth 1982 - current

description: Snow and ice depth are measured during the winter months on the eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout lakes, unnamed lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Fish, Mendota, Monona and Wingra). Sampling Frequency: every 6 weeks during ice-covered season in the north and typically once during the winter in the south Number of sites: 11
DOI: 10.5281/zenodo.3555377
title: Purification of Q23 and Q54 HTT and HTT-HAP40 from Sf9 2019/10/07

description: <strong>Project: </strong>Biophysical investigation of purified HTT protein samples <strong>Experiment: </strong>Purification of Q23 and Q54 HTT and HTT-HAP40 from Sf9 <strong>Date completed:­ </strong>2019/10/07 <strong>Rationale: </strong>Purification of HTT and HTT-HAP40 Q23 and Q54 for different biophysical and functional analyses
description: Dr. Harding is the recipient of the Huntington's Disease Society of America Berman Topper Career Development Fellowship which funds and supports this research, in addition to generous funding from the CHDI Foundation and the Huntington Society of Canada. The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.5281/zenodo.3555378
title: Purification of Q23 and Q54 HTT and HTT-HAP40 from Sf9 2019/10/07

description: <strong>Project: </strong>Biophysical investigation of purified HTT protein samples <strong>Experiment: </strong>Purification of Q23 and Q54 HTT and HTT-HAP40 from Sf9 <strong>Date completed:­ </strong>2019/10/07 <strong>Rationale: </strong>Purification of HTT and HTT-HAP40 Q23 and Q54 for different biophysical and functional analyses
description: Dr. Harding is the recipient of the Huntington's Disease Society of America Berman Topper Career Development Fellowship which funds and supports this research, in addition to generous funding from the CHDI Foundation and the Huntington Society of Canada. The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.5519/qd.una2bsdo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17632/47sr5sgjhm.1
title: Genetic data from Mediterranean striped dolphin

description: This entry contains the genetic data used in the publication: Gaspari S, Marsili L, Natali C, Airoldi S, Lanfredi C, Deeming C, Moura AE. Spatio-temporal patterns of genetic diversity in the Mediterranean striped dolphin (Stenella coeruleoalba). J Zool Syst Evol Res. 2019;00:1–14. https://doi.org/10.1111/jzs.12265
DOI: 10.17632/4k3yrn3brm.1
title: SNP chip data from Eurasian Canids

description: This entry contains the SNP data and sample information used in the publication: Pilot M., Moura A.E., Okhlopkov I.M., Mamaev N., Alagaili A.N., Mohammed O.B., Yavruyan E.G., Manaseryan N.H., Hayrapetyan V., Kopaliani N., Tsingarska E., Krofel M., Skoglund P., Bogdanowicz W. (2019). Global phylogeographic and admixture patterns in grey wolves and genetic legacy of an ancient Siberian lineage. Scientific Reports. doi: 10.1038/s41598-019-53492-9.
DOI: 10.21223/4qjgze
title: TIPCIP Software V1.3 Source Code

description: The software TIPCIP allows to process thermal images, was developed within the Crop Systems Intensification and Climate Change Division of the International Potato Center (CIP), whose main objective is to determine the canopy temperature on potato crop fields (cultivar UNICA), through the automatic alignment of thermal and visible images taken with a thermal camera.
DOI: 10.21223/4qjgze/1gzpqe
title: TIPCIP.rar

description: :unav
DOI: 10.5281/zenodo.3555382
title: Purification of HTT aa. 76-3060 -HAP40 aa. 1-371 for structural analysis 2019/10/21

description: <strong>Project: </strong>Biophysical investigation of purified HTT protein samples <strong>Experiment: </strong>Purification of HTT<sup>76-3060 </sup>-HAP40<sup>1-371</sup> from Sf9 <strong>Date completed:­ </strong>2019/10/21 <strong>Rationale: </strong>Purification of HTT<sup>76-3060 </sup>-HAP40<sup>1-371</sup> for structural analysis
description: Dr. Harding is the recipient of the Huntington's Disease Society of America Berman Topper Career Development Fellowship which funds and supports this research, in addition to generous funding from the CHDI Foundation and the Huntington Society of Canada. The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.5281/zenodo.3555383
title: Purification of HTT aa. 76-3060 -HAP40 aa. 1-371 for structural analysis 2019/10/21

description: <strong>Project: </strong>Biophysical investigation of purified HTT protein samples <strong>Experiment: </strong>Purification of HTT<sup>76-3060 </sup>-HAP40<sup>1-371</sup> from Sf9 <strong>Date completed:­ </strong>2019/10/21 <strong>Rationale: </strong>Purification of HTT<sup>76-3060 </sup>-HAP40<sup>1-371</sup> for structural analysis
description: Dr. Harding is the recipient of the Huntington's Disease Society of America Berman Topper Career Development Fellowship which funds and supports this research, in addition to generous funding from the CHDI Foundation and the Huntington Society of Canada. The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.25919/5ddeeb1fe4fa2
title: Gully density estimates for dSedNet model input for the Western Port catchment, Victoria, Australia

description: Spatial input data to parameterise the gully erosion module of the dSedNet model to simulate sediment generation and transport in the Western Port catchment for a 2018-19 study commissioned by Melbourne Water.
DOI: 10.5281/zenodo.3555528
title: Antileishmanial compounds isolated from Psidium guajava L. using a metabolomic approach

description: With an estimated annual incidence of 1 million cases, leishmaniasis is one of the top five vector-borne diseases. Currently available treatments involve side effects, including toxicity, non-specific targeting, and resistance development. Thus, new antileishmanial chemical entities are of the utmost interest to fight against this disease. The aim of this study was to obtain potential antileishmanial natural products from <em>Psidium guajava</em> leaves using a metabolomic workflow. Several crude extracts from <em>P. guajava</em> leaves harvested from different locations Lao People’s Democratic Republic (Lao PDR) were profiled by liquid chromatography coupled to high-resolution mass spectrometry and evaluated for their antileishmanial activities. The putative active compounds were highlighted by multivariate correlation analysis between the antileishmanial response and chromatographic profiles of <em>P. guajava</em> mixtures. The results showed that the pooled apolar fractions from <em>P. guajava</em> were the most active (IC<sub>50</sub> = 1.96±0.47 µg/mL). Multivariate data analysis of the apolar fractions highlighted a family of triterpenoid compounds, including jacoumaric acid (IC<sub>50</sub> = 1.318±0.59 µg/mL) and corosolic acid (IC<sub>50</sub> = 1.01±0.06 µg/mL). Our approach allowed the identification of antileishmanial compounds from the crude extracts in only a small number of steps steps and can be easily adapted for use in the discovery workflows of several other natural products.
description: Dataset from the paper entitled: Antileishmanial compounds isolated from Psidium guajava L. using a metabolomic approach
DOI: 10.5281/zenodo.3555529
title: Antileishmanial compounds isolated from Psidium guajava L. using a metabolomic approach

description: With an estimated annual incidence of 1 million cases, leishmaniasis is one of the top five vector-borne diseases. Currently available treatments involve side effects, including toxicity, non-specific targeting, and resistance development. Thus, new antileishmanial chemical entities are of the utmost interest to fight against this disease. The aim of this study was to obtain potential antileishmanial natural products from <em>Psidium guajava</em> leaves using a metabolomic workflow. Several crude extracts from <em>P. guajava</em> leaves harvested from different locations Lao People’s Democratic Republic (Lao PDR) were profiled by liquid chromatography coupled to high-resolution mass spectrometry and evaluated for their antileishmanial activities. The putative active compounds were highlighted by multivariate correlation analysis between the antileishmanial response and chromatographic profiles of <em>P. guajava</em> mixtures. The results showed that the pooled apolar fractions from <em>P. guajava</em> were the most active (IC<sub>50</sub> = 1.96±0.47 µg/mL). Multivariate data analysis of the apolar fractions highlighted a family of triterpenoid compounds, including jacoumaric acid (IC<sub>50</sub> = 1.318±0.59 µg/mL) and corosolic acid (IC<sub>50</sub> = 1.01±0.06 µg/mL). Our approach allowed the identification of antileishmanial compounds from the crude extracts in only a small number of steps steps and can be easily adapted for use in the discovery workflows of several other natural products.
description: Dataset from the paper entitled: Antileishmanial compounds isolated from Psidium guajava L. using a metabolomic approach
DOI: 10.6084/m9.figshare.8166845
title: Neighbour joining tree of the Enterobacteriales

description: Distance-based neighbour-joining tree of the 27,334 Enterobacteriales genomes used in the study.
DOI: 10.7910/dvn/ifhlqb/i2bpse
title: Screening.tab

description: ScreeningFile
DOI: 10.5281/zenodo.3522315
title: Genlisea sp nv. (Lentibulariaceae), a new species from Serra da Canastra, Minas Gerais, Brazil

description: Supplementary material on the paper about a new species of the genus <em>Genlisea</em>. alignment_concatenated.nex is the concatenated matrix for <em>Genlisea</em> species of the regions rps16-intron and matK MATK-B672_D09_SS1-F1_073.ab1 - is the eletropherogram for <em>Genlisea</em> sp nv. for matK (forward sequence) MATK-B672_E09_SS1-R1_071.ab1 - is the eletropherogram for <em>Genlisea</em> sp nv. for matK (reverse sequence) RPS16-B672_F09_SS2-F2_069.ab1 - is the eletropherogram for <em>Genlisea</em> sp nv. for rps16 (forward sequence) RPS16-B672_G09_SS2-R2_067.ab1 - is the eletropherogram for <em>Genlisea</em> sp nv. for rps16 (reverse sequence)