cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8g6zvtr469
title: Experimental dataset of microwave-assisted pyrolysis of low-rank coal

description: The process of converting low rank coal (LRC) into liquid is very important in order to increase the added value of low rank coal and obtain liquid fuel that can substitute petroleum fuel. Therefore, this dataset presents experimental data on microwave-assisted pyrolysis from low rank coal using activated carbon and HZSM-5 catalysts and Fe2(SO4)3 receptors, along with characterization data. The operating variable used is the reaction temperature is 843 - 923 K; the microwave input power is in 0 - 800 W; reaction time is 900 - 8,100 s; the particle size is 4.76 -0.07 mm. The amount of pyrolysis product is expressed in product yield. The liquid product yield is the total mass of the liquid divided by the mass of the feedstock. Apart from the liquid product, there is tar as a waste and vaporized gas which we did not measure. Some of the raw material and product analyze we carry out are proximate analysis (content of the ash, moisture, fixed carbon, and volatile substances) by ASTM D3172-D3175 methods. Micromorphology of low rank coal and char using Scanning Electron Microscope (SEM). X-ray diffraction (XRD) analysis on the crystal structure of low rank coal raw materials and char products. The Fourier Transports Infrared (FTIR) spectrometer was used to analyze the organic functional groups of liquid fuel. Gas chromatography-mass spectrometry (GC-MS) was used to analyze the components of liquid fuel and gas products. These data have the potential to be used as comparative research to convert low rank coal into liquid fuel.
DOI: 10.3535/pc8-2kw-7h4
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/2trnj59vsp
title: Data for: Numerical analysis of earth-abundant Cu2ZnSn(SxSe1-x)4 solar cells based on Spectroscopic Ellipsometry results by using SCAPS-1D

description: We share dataset used during this work.
DOI: 10.3535/28y-gme-kl4
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wax-0gt-aax
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.878253_d72
title: relative_humidity_pct_1cm_rock_0_shade.zip

description: Relative humidity (%) 1 cm above the ground assuming a rock substrate and 0% shade from vegetation. Each netCDF file contains 24 layers of global extent, one for each hour of the day (starting at 0:00 hrs) for a given month of the year, at ~15km resolution.
 
 
Fileset Description:
The microclim dataset provides microclimate estimates of conditions above and below ground for each hour of the day for the middle day of each month based on a long-term average climatology. Details of this dataset are presented in [Kearney et al. 2014].
The dataset comprises a set of NetCDF files with one file per variable per month, each file comprising 24 layers (one for each hour of the day from 0:00 hrs to 23:00 hrs, so layer 13 is 12:00 midday) for the globe (852 rows, 2159 columns, latitudinal extents -58.57 to 83.43 degrees, longitudinal extents -180.00 to 180.00 degrees). For the naming convention, mon is month of the year (1 to 12, where 1 = Jan, 12 = Dec), shd is shade level in % (0, 25, 50, 75, 90, 100), and sub is substrate (soil, rock, sand).
To facilitate downloading the data, the NetCDF files are grouped into compressed (zipped) files, one per variable per shade and substrate type, each comprising all monthly values and, for the substrate temperatures, all depths. Note that not all variables are shade or substrate specific, specifically zenith angle, wind speeds, solar radiation, and 120 cm air temperature and relative humidity.
DOI: 10.3535/q1t-rfn-43g
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/r8l-46p-hds
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/c8g-2tt-msh
title: Ancyrochitina sp. 4

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vbx-qx2-e8z
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/emp-1mk-w5p
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/pl7-mwl-037
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.16807444.v8
title: More immersive mock-crime experiences in virtual reality facilitates participant effort to be more deceptive in interviews.

description: This is the raw data for the article: <strong> </strong>More immersive and intrinsically motivating mock-crime experiences in virtual reality facilitates participant effort to be more deceptive in interviews.
DOI: 10.6084/m9.figshare.8143016.v1
title: Validation with Reference samples 2017

description: Raw data of 7 reference samples of 2017 of the validation section are provided as Excel-file (CSV). The data include file name, sample name, certified type of treatment and calculated N2O amounts (single and average values).
DOI: 10.3535/77x-ghp-tt7
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/b8f-f0v-kh5
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.3556545.v1
title: Appendix A. Spatial autocorrelation analysis.

description: Spatial autocorrelation analysis.
DOI: 10.17632/z8j2bmvdy4
title: Mineral Uptake and elemental accumulation profiling in Piper betle L. leaves of Coastal Odisha Region

description: Elemental analysis of soils and leafs is widely employed to quantify the fertilizer and nutrients imbalance pertaining to deficit in agricultural productivity. EDXRF methodology offers an ideal technique to evaluate the direct detection of dried powdered leaf samples. This strategy enabled the concurrent determination of Mg2+, Ca 2+, P-3, K+, Fe2+, Cu2+, B-1, Si+1, Al+3, Ti+4, Mn+4 etc. This present study discriminates depositional behavior of macro minerals like P, S leaf varieties of Bali, Chandrakana and Jhanji. However, Chandrakana variety promotes highest micro mineral accumulation and Jhanji one the least. Vineyard sandy soils of BLS and BUS impart more MnO as compared to clayey soils of PLS and PUS. It also reflects high abundance of Cl in clayey soils relative to sandy soils. Thus, the present findings promote EDXRF employment for direct detection of agricultural samples. The outcomes also motivate further studies for trialing other crops for nutrition and deficiency analysis.
DOI: 10.3535/100-03g-gvf
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/12c-b6x-kap
title: Rhabdinopora flabelliformis flabelliformis (Eichwald, 1840)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/88fcgj65bf
title: Association of Human Papillomavirus and Extra-genital Bowen’s Disease (Squamous Cell Carcinoma in situ): A Systematic Review

description: Supplementary materials for publication JAAD-D-20-02223 (Namgoong et al. Association of Human Papillomavirus and Extra-genital Bowen’s Disease (Squamous Cell Carcinoma in situ): A Systematic Review)
DOI: 10.17632/jwmkg444gf
title: Brief data on chemical and mechanical properties of agel leaf fiber-reinforced composite

description: Agel leaf fiber or Corypha utan leaf fiber (CULF) is one of natural fibers grown in Indonesia. This dataset presents FTIR result of alkali-silane treatment on agel (Corypha utan) leaf fiber. For alkali treatment, 4% (w/w) of Sodium Hydroxide (NaOH) was used. Three concentrations of 3-(Trimethoxysilyl)propyl were introduced (0, 5, and 10wt.%) as the silane treatment. Data on tensile and 3-point bending (bending) results are also provided in this repository. Tensile and bending test specimens were fabricated following ASTM D638-03 specimen type 1 and ASTM D790-03, respectively.
DOI: 10.3535/9x7-g0y-zkf
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fnn-lys-2yt
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.12698384.v1
title: Supplemental_Table_S7_2017-S_phenotype_file.csv

description: Phenotype data from a 2017 field experiment conducted in Stillwater, OK of sequenced sorghum RILs employed in QTL analysis of agronomic traits in sorghum
DOI: 10.5281/zenodo.17460218
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Hansjörg Eichler, http://www.wikidata.org/entity/Q4530123. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4530123
DOI: 10.15468/dl.33sses
title: Occurrence Download

description: A dataset containing 7398569 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((33.58855 -4.86188,43.17844 -4.86188,43.17844 4.88684,33.58855 4.88684,33.58855 -4.86188))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 7398569 records from 1072 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003502-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17460220
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Johann Gottlieb Otto Tepper, http://www.wikidata.org/entity/Q2891010. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q2891010
DOI: 10.15468/dl.8dqtup
title: Occurrence Download

description: A dataset containing 50630273 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 50630273 records from 9881 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003507-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbv5we
title: Occurrence Download

description: A dataset containing 82743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United Kingdom of Great Britain and Northern Ireland, Ireland)",
 "Geometry POLYGON((-17.63338 48.52785,10.50455 48.52785,10.50455 59.77785,-17.63338 59.77785,-17.63338 48.52785))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cetacea",
 "Year 1752-2025"
 ]
}

 The dataset includes 82743 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012525-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1101011.10fu
title: SH1101011.10FU

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/sh1101014.10fu
title: SH1101014.10FU

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/sh1101017.10fu
title: SH1101017.10FU

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/sh1101022.10fu
title: SH1101022.10FU

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/sh1101023.10fu
title: SH1101023.10FU

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/sh1101024.10fu
title: SH1101024.10FU

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/sh1101025.10fu
title: SH1101025.10FU

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/sh1101027.10fu
title: SH1101027.10FU

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/sh1101028.10fu
title: SH1101028.10FU

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/sh1101029.10fu
title: SH1101029.10FU

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.