cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4016915
title: EMUE-D4-3-QuantifyUncertaintiesInCalibration

description: Calibration of a sonic nozzle as an example for quantifying all uncertainties involved in straight-line regression When calibrating a sonic nozzle, it is recommended to estimate the straight-line relationship between the discharge coefficient of the nozzle and the square root of the inverse Reynolds number for a gas. The slope and intercept of this relation characterize the nozzle, and reliable estimates and uncertainties for this multivariate measurand are mandatory for its use as transfer or working standard. This example emphasizes the importance of accounting for correlation for a reliable uncertainty evaluation. The use of common reference standards and instruments causes correlation among and between the discharge coefficient and the Reynolds number, and impacts significantly on the uncertainty of the characteristic parameters of the nozzle. To show this, a measurement model based on the weighted total least-squares (WTLS) method is applied and its input quantities are fully characterized. In particular, we demonstrate in detail how to jointly evaluate the correlation, uncertainties and estimates for the input quantities of least-squares methods applying the Monte Carlo method. As a result, sonic nozzles can be characterized in line with the Guide to the expression of uncertainty in measurement (GUM). Files contained in the dataset are: Example_A223.pdf: Report “Calibration of a sonic nozzle as an example for quantifying all uncertainties involved in straight-line regression”; Example_A223.tex: LaTeX file to be compiled in order to produce Example_A223.pdf; Compendium_A223.bib: bibliography file; Fig1.pdf: PDF file needed to compile Example_A223.tex; Fig2.pdf: PDF file needed to compile Example_A223.tex; Fig2.png: PNG file needed to compile Example_A223.Rmd; Fig3a.pdf: PDF file needed to compile Example_A233.tex; Fig3b.pdf: PDF file needed to compile Example_A233.tex; Fig4.pdf: PDF file needed to compile Example_A223.tex; Fig5a.pdf: PDF file needed to compile Example_A223.tex; Fig5b.pdf: PDF file needed to compile Example_A223.tex; Fig6a.pdf: PDF file needed to compile Example_A223.tex; Fig6a.png: PNG file needed to compile Example_A223.Rmd; Fig6b.pdf: PDF file needed to compile Example_A223.tex; Fig6b.png: PNG file needed to compile Example_A223.Rmd; data_A223.csv: data file containing the estimates and associated standard uncertainties for the measurements; MC_data_A223.xslx: excel file containing the estimates and associated covariance matrix for the intermediate measurands; Example_A223.Rmd: R Markdown file for quantifying all uncertainties involved in straight-line regression. As output an HTML file similar to Example_A223.pdf is created with results dynamically produced by underlying R code; ieee.csl: CSL file needed to cite the reference in example_A223.Rmd according to the Institute of Electrical and Electronics Engineers style.
DOI: 10.6084/m9.figshare.13177166
title: KiCad files for the circuit boards for the C-Boxes of the Neutron Resonant spin echo spectrometer RESEDA

description: kicad files including gbr files needed to construct the three different boards of the c-boxes used at the neutron resonant spin echo spectrometer RESEDA (Heinz Maier-Leibnitz Zentrum, Garching, Germany).All used libraries and modules are included within the zip.-files. <br><br>The .stl files give a quick overview over the 3 different boards: <br><br>- C-Box Input: board that receives the input from the amplifier- C-Box Serial C: the board containing the different capacities, transformers and relays for the resonance frequencies below 1 MHz- C-Box 2: board containing the different capacities, transformers and high frequency relays<br><br>The C-boxes and required electronics are described in detail in https://arxiv.org/abs/2010.04161 <br>Further details regarding the resonant neutron spin echo spectrometer RESEDA can be found in: 10.1016/j.nima.2019.05.056.<br>
DOI: 10.6084/m9.figshare.13177166.v1
title: KiCad files for the circuit boards for the C-Boxes of the Neutron Resonant spin echo spectrometer RESEDA

description: kicad files including gbr files needed to construct the three different boards of the c-boxes used at the neutron resonant spin echo spectrometer RESEDA (Heinz Maier-Leibnitz Zentrum, Garching, Germany).All used libraries and modules are included within the zip.-files. <br><br>The .stl files give a quick overview over the 3 different boards: <br><br>- C-Box Input: board that receives the input from the amplifier- C-Box Serial C: the board containing the different capacities, transformers and relays for the resonance frequencies below 1 MHz- C-Box 2: board containing the different capacities, transformers and high frequency relays<br><br>The C-boxes and required electronics are described in detail in https://arxiv.org/abs/2010.04161 <br>Further details regarding the resonant neutron spin echo spectrometer RESEDA can be found in: 10.1016/j.nima.2019.05.056.<br>
DOI: 10.15468/dl.w36uj2
title: Occurrence Download

description: A dataset containing 1243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Melichrus procumbens (Cav.) Druce"
 ]
}

 The dataset includes 1243 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105538-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.889byr
title: Occurrence Download

description: A dataset containing 1956 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cratoxylum cochinchinense (Lour.) Blume"
 ]
}

 The dataset includes 1956 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105540-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbukne
title: Occurrence Download

description: A dataset containing 357 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canis lupus lupus"
 ]
}

 The dataset includes 357 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105541-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.65hjt6
title: Occurrence Download

description: A dataset containing 31495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sphagnum fimbriatum Wilson"
 ]
}

 The dataset includes 31495 records from 294 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105539-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/4x7n-y874
title: Soil and Landscape Grid National Soil Attribute Maps - Soil Bacteria and Fungi Beta Diversity (3" resolution) - Release 1

description: This is Version 1 of the Soil Bacteria and Fungi Beta Diversity product of the Soil and Landscape Grid of Australia. 

The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. These products provide estimates of the Beta Diversity of soil fungi and bacteria. The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90 m pixels). 

These maps are generated using Digital Soil Mapping methods

Attribute Definition: Soil Bacteria and Fungi Beta Diversity
Units: NA; 
Period (temporal coverage; approximately): 1950-2022; 
Spatial resolution: 3 arc seconds (approx 90m); 
Total number of gridded maps for this attribute: 6; 
Number of pixels with coverage per layer: 2007M (49200 * 40800); 
Total size before compression: about 8GB; 
Total size after compression: about 4GB; 
Data license : Creative Commons Attribution 4.0 (CC BY); 
Format: Cloud Optimised GeoTIFF.
DOI: 10.15468/dl.scrmqk
title: Occurrence Download

description: A dataset containing 12832 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Melichrus urceolatus R.Br."
 ]
}

 The dataset includes 12832 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105542-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ajbrm
title: Occurrence Download

description: A dataset containing 14560 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Zero coordinate, Coordinate out of range, Coordinate invalid, Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate accuracy invalid, Coordinate precision invalid, Coordinate uncertainty meters invalid, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT mismatch, Footprint WKT invalid, Country coordinate mismatch, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names , Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, ccurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Different owner institution, Possibly on loan, Institution collection mismatch)",
 "TaxonKey is Cecropia Loefl."
 ]
}

 The dataset includes 14560 records from 456 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105543-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26860243
title: Effect of vegetation restoration on soil iron-associated carbon dynamics: Insights from different soil textures

description: This dataset presents plant and soil (0-20 cm) data from cropland, grassland, shrubland, and forestland in three regions: Changwu (loam soil), Yan'an (loess soil), and Shenmu (sandy soil). The plant and soil data are located in files named “data”, in XLSX format. These data were obtained through field sampling surveys and subsequent laboratory analyses. They are used to investigate the influence and mechanisms of vegetation recovery on soil iron-associated organic carbon content across different soil types.
DOI: 10.6084/m9.figshare.26860243.v1
title: Effect of vegetation restoration on soil iron-associated carbon dynamics: Insights from different soil textures

description: This dataset presents plant and soil (0-20 cm) data from cropland, grassland, shrubland, and forestland in three regions: Changwu (loam soil), Yan'an (loess soil), and Shenmu (sandy soil). The plant and soil data are located in files named “data”, in XLSX format. These data were obtained through field sampling surveys and subsequent laboratory analyses. They are used to investigate the influence and mechanisms of vegetation recovery on soil iron-associated organic carbon content across different soil types.
DOI: 10.6084/m9.figshare.26860243.v2
title: Effect of vegetation restoration on soil iron-associated carbon dynamics: Insights from different soil textures

description: This dataset presents plant and soil (0-20 cm) data from cropland, grassland, shrubland, and forestland in three regions: Changwu (loam soil), Yan'an (loess soil), and Shenmu (sandy soil). The plant and soil data are located in files named “data”, in XLSX format. These data were obtained through field sampling surveys and subsequent laboratory analyses. They are used to investigate the influence and mechanisms of vegetation recovery on soil iron-associated organic carbon content across different soil types.
DOI: 10.15468/dl.4bgrfu
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echium vulcanorum A.Chev."
 ]
}

 The dataset includes 33 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105544-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26860000
title: VAT_Benchmark_datasets

description: VAT Benchmark Datasets
DOI: 10.4225/08/546f48d6a6d48
title: Soil and Landscape Grid National Soil Attribute Maps - Silt (3" resolution) - Release 1

description: This is Version 1 of the Australian Soil Silt product of the Soil and Landscape Grid of Australia. 

The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. Each product contains six digital soil attribute maps, and their upper and lower confidence limits, representing the soil attribute at six depths: 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm and 100-200cm. These depths are consistent with the specifications of the GlobalSoilMap.net project (http://www.globalsoilmap.net/). The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90 m pixels). 

These maps are generated by combining the best available Digital Soil Mapping (DSM) products available across Australia. 

Attribute Definition: 2-200 μm mass fraction of the less than 2 mm soil material determined using the pipette method; 
Units: %; 
Period (temporal coverage; approximately): 1950-2013; 
Spatial resolution: 3 arc seconds (approx 90m); 
Total number of gridded maps for this attribute: 18; 
Number of pixels with coverage per layer: 2007M (49200 * 40800); 
Total size before compression: about 8GB; 
Total size after compression: about 4GB; 
Data license : Creative Commons Attribution 4.0 (CC BY); 
Target data standard: GlobalSoilMap specifications; 
Format: GeoTIFF.
DOI: 10.15468/dl.ppq5gx
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echium vulcanorum A.Chev."
 ]
}

 The dataset includes 33 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105545-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cczs6
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Decatoca spenceri F.Muell."
 ]
}

 The dataset includes 61 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105548-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c56w96m85
title: MassIVE MSV000095710 - GNPS - Bolnick Alaska Experimental Evolution (2023) - PRJ1
title: Livers preserved in Ethanol from threespine stickleback (Gasterosteus aculeatus). Thirty per lake from 16 lakes in Alaska. Seven of the lakes are native populations, and nine of the lakes are experimentally introduced populations founded in 2019. Samples were collected by Dan Bolnick and colleagues in June 2023. Untargeted LC-MS/MS acquisition was performed on a Vanquish Flex UHPLC system coupled to an Orbitrap Exploris 240 (Thermo Fisher Scientific, Bremen, Germany). Chromatographic separation was performed on a Kinetex 2.6 um 100 A pore size Polar C18 reversed phase UHPLC column 100 x 2.1 mm (Phenomenex, Torrance, CA).
DOI: 10.15468/dl.p4a82x
title: Occurrence Download

description: A dataset containing 17957 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Delphinium ajacis L."
 ]
}

 The dataset includes 17957 records from 737 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105549-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6595789
title: Neural dynamics differentially encode phrases and sentences in spoken language comprehension

description: Data used to plot the summarized figures in the research article, <em>Neural dynamics differentially encode phrases and sentences in spoken language comprehension. </em>
DOI: 10.5281/zenodo.6595788
title: Neural dynamics differentially encode phrases and sentences in spoken language comprehension

description: Data used to plot the summarized figures in the research article, <em>Neural dynamics differentially encode phrases and sentences in spoken language comprehension. </em>
DOI: 10.6084/m9.figshare.19594027
title: Data for Litoria ewingii tadpole experiments, Canterbury, New Zealand

description: Four experiments total were conducted, two in pond mesocosms and two in laboratory. The pond mesocosms experiments were to determine if <em>Litoria ewingii</em> tadpoles, non-native to New Zealand, affected any aspects of pond ecosystems. <br> The first experiment crossed predatory invertebrate presence with tadpole presence in a factorial anova design, and had many response variables: dissolved oxygen, benthic algae, plant mass, invertebrate abundances of many species, terrestrial leaf breakdown, number of tadpoles remaining, and FPOM or CPOM amount. <br> The second experiment had each tank shaded or unshaded, crossed with a gradient of tadpole densities, and measured phytoplankton, plant mass, dissolved oxygen, pH, and conductivity. <br> The third experiment measured ammonia-N excreted by tadpoles of varying lengths. <br> The fourth experiment investigated whether predatory invertebrates would consume tadpole eggs, including tadpoles at the earliest free swimming stage where they might still be considered eggs. Response variables are tadpoles remaining and eggs remaining.
DOI: 10.15156/bio/sh1153865.09fu
title: SH1153865.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1153866.09fu
title: SH1153866.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1153867.09fu
title: SH1153867.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1153868.09fu
title: SH1153868.09FU

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