cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5525/gla.researchdata.989
title: Injury, epidemiology, mental attitudes to food and diet of CrossFit athletes in Perth, Western Australia
DOI: 10.5258/soton/d1266
title: Dataset for 'Comparison of variable and constant loading for mesophilic food waste digestion in a long-term experiment'

description: This dataset supports the publication: Song H, Zhang Y, Kusch-Brandt S and Banks CJ (2020) Comparison of variable and constant loading for mesophilic food waste digestion in a long-term experiment in Energies. This dataset includes the calculation for Figure 2. 'VFA profiles', Figure 3. 'Operational parameters' and Figure 4. '28-days rolling average volumetric methane production'.
DOI: 10.5258/soton/d1219
title: Dataset for: Laser trimming of the operating wavelength of silicon nitride racetrack resonators

description: Dataset supports: De Paoli, G et a. (2020). Laser trimming of the operating wavelength of silicon nitride racetrack resonators. Photonics Research.
DOI: 10.5281/zenodo.3707755
title: A Mixed Graph-Relational Dataset of Socio-technical Interactions in Open Source Systems

description: # Realtional Dataset - Downlaod Dump.sql <br> - Before importing Dump.sql icrease your max_allowed_packet=4M to 16M in your MySQL initialization usually located at C:\ProgramData\MySQL\MySQL Server 8.0\my.ini <br> - Import Dump.sql to your local MySQL server by MySQL Workbech-&gt;Server-&gt;Data Import -&gt; Import from Self-Contained File -&gt; Start Import<br> <br> ---------------------------------------------------------------------------------------------------------------------------------------<br> # Graph Dataset via graphs_cypher # Download Neo4j Desktop Download link can be found here https://neo4j.com/ # Add Graph in Neo4j Desktop Run Neo4j Desktop application and follow instructions: - Click on Add Graph<br> - Set desired name and password<br> - Click on Create<br> - Start the Graph database <br> # Loading Cypher scripts to Graph database Once the graph database is running, start Neo4j browser and execute cypher script for each project.<br> as show in the figure below<br> The script will insert the data of the graph in the database. OR # Loading from graph.db - Download the graph.db <br> - graph.db contains subfolder DeveloperInteractionGraph.db and SubsystemInteractionGraph.db <br> - To visualize any desired graph from the graph.db/DeveloperInteractionGraph.db or SubsystemInteractionGraph.db <br> - Create a graph in Neo4j<br> - Click on Manage<br> - Click on Open Folder<br> - Paste the desired (project).db inside the data/databases folder<br> - Restart DB<br> - Neo4j credentials:<br> userid = neo4j<br> password = admin ## Visualize graph The resultant graph can be visualized using following query:<br> Show only 25 nodes<br> ```<br> $ MATCH (n) RETURN n LIMIT 25<br> ``` Show all nodes<br> ```<br> $ MATCH (n) RETURN n<br> ```<br>
DOI: 10.5281/zenodo.3707756
title: A Mixed Graph-Relational Dataset of Socio-technical Interactions in Open Source Systems

description: # Realtional Dataset - Downlaod Dump.sql <br> - Before importing Dump.sql icrease your max_allowed_packet=4M to 16M in your MySQL initialization usually located at C:\ProgramData\MySQL\MySQL Server 8.0\my.ini <br> - Import Dump.sql to your local MySQL server by MySQL Workbech-&gt;Server-&gt;Data Import -&gt; Import from Self-Contained File -&gt; Start Import<br> <br> ---------------------------------------------------------------------------------------------------------------------------------------<br> # Graph Dataset via graphs_cypher # Download Neo4j Desktop Download link can be found here https://neo4j.com/ # Add Graph in Neo4j Desktop Run Neo4j Desktop application and follow instructions: - Click on Add Graph<br> - Set desired name and password<br> - Click on Create<br> - Start the Graph database <br> # Loading Cypher scripts to Graph database Once the graph database is running, start Neo4j browser and execute cypher script for each project.<br> as show in the figure below<br> The script will insert the data of the graph in the database. OR # Loading from graph.db - Download the graph.db <br> - graph.db contains subfolder DeveloperInteractionGraph.db and SubsystemInteractionGraph.db <br> - To visualize any desired graph from the graph.db/DeveloperInteractionGraph.db or SubsystemInteractionGraph.db <br> - Create a graph in Neo4j<br> - Click on Manage<br> - Click on Open Folder<br> - Paste the desired (project).db inside the data/databases folder<br> - Restart DB<br> - Neo4j credentials:<br> userid = neo4j<br> password = admin ## Visualize graph The resultant graph can be visualized using following query:<br> Show only 25 nodes<br> ```<br> $ MATCH (n) RETURN n LIMIT 25<br> ``` Show all nodes<br> ```<br> $ MATCH (n) RETURN n<br> ```<br>
DOI: 10.17861/a6985114-fe42-4abb-bcb9-5fb2356c16cb
title: Datasets supporting the article: "Investigation of an interlaced laser beam scanning method for ultrashort pulse laser micromachining applications"

description: Datasets used to plot all graphs presented in the article and also additonal laser machining results obtained with the Edgewave sub-picosecond laser system.
DOI: 10.21227/geqm-kv16
title: Graeco-Latin cubes

description: A Latin square of order q is a q×q array with elements from {0,1,...,q-1} such that each value occurs exactly once in each row and column. Two Latin squares G and L are orthogonal if (G(x,y), L(x,y)) = (u,v) has exactly one solution for each (u,v) from {0,1,...,q-1}×{0,1,...,q-1}. The square obtained by superimposing two orthogonal Latin squares to get entries with pairs of elements is called a Graeco-Latin square. A Latin cube of order q and is a q×q×q array with elements from {0,1,...,q-1} such that when any two coordinates are fixed, each element of {0,1,...,q-1} occurs exactly once. Two Latin cubes are orthogonal if fixing any coordinate gives a Graeco-Latin square when the cubes are superimposed. The cube obtained by superimposing two orthogonal Latin cubes is called a Graeco-Latin cube. Graeco-Latin cubes are equivalent to orthogonal arrays OA(q^3,5,q,2) or to (5,q^3,3)q codes, q-ary unrestricted (not necessarily linear or additive) MDS codes of length 5 and minimum distance 3. Two standard methods to construct Graeco-Latin cubes are the following:(i) if q is a prime power larger than 3, than a q×q×q Graeco-Latin cube can be constructed as a Reed-Solomon code over the finite field GF(q);(ii) from a q'×q'×q' Graeco-Latin cube and a q''×q''×q'' Graeco-Latin cube, we can construct a q'q''×q'q''×q'q'' Graeco-Latin cube by Cartesian product.It is easy to see that with only these two constructions one cannot construct a Graeco-Latin cube of order 2p, where p is odd, or 3p, where p is not divisible by 3. In https://arxiv.org/abs/1911.12960 , there is a construction that allows to construct Graeco-Latin cubes of order 3p for some p not divisible by 3. This dataset contains examples of Graeco-Latin cubes of first few orders such that Graeco-Latin cubes of the same order cannot be constructed as a Reed-Solomon code or by Cartesian product from cubes of smaller orders.
DOI: 10.5281/zenodo.3707751
title: Ensemble calculations of "Fmax" from EURO-CORDEX data for Europe

description: <strong>Climate Index: </strong>Fmax <strong>Definition:</strong> Average of the annual maximum of the daily maximum wind speed over a 30-year time-period. <strong>Additional information:</strong> The dataset is based on an ensemble of EURO-CORDEX model simulations of daily maximum near-surface wind speed (sfcWindmax). Results (ensemble mean and ensemble standard deviation) are available for historical (1971-2000) and future (2011-2040, 2041-2070, 2071-2100) time periods and for the representative concentration pathways RCP2.6, RCP4.5 and RCP8.5. The EURO-CORDEX climate model simulations used are: SMHI-RCA4/ ICHEC-EC-EARTH, SMHI-RCA4/ MOHC-HadGEM2-ES CLMcom-CCLM4-8-17/ ICHEC-EC-EARTH, CLMcom-CCLM4-8-17/ MOHC-HadGEM2-ES DMI-HIRHAM5/ ICHEC-EC-EARTH KNMI-RACMO22E/ ICHEC-EC-EARTH, KNMI-RACMO22E/ MOHC-HadGEM2-ES
DOI: 10.5281/zenodo.3707750
title: Ensemble calculations of "Fmax" from EURO-CORDEX data for Europe

description: <strong>Climate Index: </strong>Fmax <strong>Definition:</strong> Average of the annual maximum of the daily maximum wind speed over a 30-year time-period. <strong>Additional information:</strong> The dataset is based on an ensemble of EURO-CORDEX model simulations of daily maximum near-surface wind speed (sfcWindmax). Results (ensemble mean and ensemble standard deviation) are available for historical (1971-2000) and future (2011-2040, 2041-2070, 2071-2100) time periods and for the representative concentration pathways RCP2.6, RCP4.5 and RCP8.5. The EURO-CORDEX climate model simulations used are: SMHI-RCA4/ ICHEC-EC-EARTH, SMHI-RCA4/ MOHC-HadGEM2-ES CLMcom-CCLM4-8-17/ ICHEC-EC-EARTH, CLMcom-CCLM4-8-17/ MOHC-HadGEM2-ES DMI-HIRHAM5/ ICHEC-EC-EARTH KNMI-RACMO22E/ ICHEC-EC-EARTH, KNMI-RACMO22E/ MOHC-HadGEM2-ES
DOI: 10.5525/gla.researchdata.952
title: Nanovibrational mesenchymal stem cell stimulation allows detection of highly osteo-specific bioactive metabolites that can be modified for enhanced potency

description: Interest in bioactive, or activity, metabolites is growing. For adult stem cells in particular, the ability to target desired phenotypes with specificity and potency is important for provision of cellular therapies and also for drug discovery for tissue regeneration. Metabolomics provides a powerful tool for the discovery of bioactive metabolites, but bioinformatic pipelines are hindered by the quality of the input signal that drives the process being studied. For example, with mesenchymal stem cell (MSC) differentiation to bone forming osteoblasts, dexamethasone and bone morphogenetic protein 2 are commonly used stimuli in the lab and in clinic respectively. However, both can result in the artefactual production of adipocytes as well as osteoblasts and this could confound bioactive metabolite identification. Here, we use nanovibrational stimulation of MSCs to promote osteogenesis without adipogenesis and show that this can be used to identify bioactive metabolites with high osteogenic specificity. Further, these metabolites can have their structure-function relationship examined to provide both specificity and enhanced potency as we illustrate within this new work.
DOI: 10.25412/iop.11936313
title: Horen_Greenford_etal-2020-SupplementaryData.xlsx

description: p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 15.0px; font: 13.0px Arial; -webkit-text-stroke: #000000} p.p2 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 15.0px; font: 13.0px Arial; -webkit-text-stroke: #000000; min-height: 15.0px} span.s1 {font-kerning: none} Supplementary data set accompanying: <br> Horen Greenford D, Crownshaw T, Lesk C, Stadler K, Matthews HD. Shifting economic activity to services has limited potential to reduce global environmental impacts due to the household consumption of labour. Environmental Research Letters. In review. 2020. <br> The file contains data supporting figures, analysis, and supporting documentation, as follows: <br> - Figure 1 - Figure 2 (data) - Figure 2 (statistics) - Figure 3 - Industry results - Sector results and analysis - Industry Closed-Open: Difference between closed and open accounts for industries - Sector Closed-Open: Difference between closed and open accounts for sectors - Country Closed-Open: Difference between closed and open accounts for countries - Industry percent difference - Sector percent difference - Trade flows - Wages: percent of total wages - Wages: per unit output - Countries (glossary) - Industries (glossary) - Aggregation: Choices of aggregations for Consumption Categories and ISIC classification scheme
DOI: 10.25412/iop.11936313.v1
title: Horen_Greenford_etal-2020-SupplementaryData.xlsx

description: p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 15.0px; font: 13.0px Arial; -webkit-text-stroke: #000000} p.p2 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 15.0px; font: 13.0px Arial; -webkit-text-stroke: #000000; min-height: 15.0px} span.s1 {font-kerning: none} Supplementary data set accompanying: <br> Horen Greenford D, Crownshaw T, Lesk C, Stadler K, Matthews HD. Shifting economic activity to services has limited potential to reduce global environmental impacts due to the household consumption of labour. Environmental Research Letters. In review. 2020. <br> The file contains data supporting figures, analysis, and supporting documentation, as follows: <br> - Figure 1 - Figure 2 (data) - Figure 2 (statistics) - Figure 3 - Industry results - Sector results and analysis - Industry Closed-Open: Difference between closed and open accounts for industries - Sector Closed-Open: Difference between closed and open accounts for sectors - Country Closed-Open: Difference between closed and open accounts for countries - Industry percent difference - Sector percent difference - Trade flows - Wages: percent of total wages - Wages: per unit output - Countries (glossary) - Industries (glossary) - Aggregation: Choices of aggregations for Consumption Categories and ISIC classification scheme
DOI: 10.25345/c54h66
title: MassIVE MSV000085088 - Remnants of the Balbiani body are required for formulation of RNA transport granules in Xenopus oocytes
title: RAW data files for nano-LC/MS/MS associated with manuscript
DOI: 10.5281/zenodo.3707841
title: Data for "Drought and Heatwave Impacts on Semi-Arid Ecosystems' Carbon Fluxes along a Precipitation Gradient"

description: These are flux and meteo data for the measurement sites ES-Abr and ES-LMa for the period from 2016-01-01 to 2019-12-31. These data were used for the publication: El-Madany, et al. (2020) "Drought and Heatwave Impacts on Semi-Arid Ecosystems’ Carbon Fluxes along a Precipitation Gradient" in Philosophical Transactions of the Royal Society B. Variables, units and description are found in the ReadmeDataDescription.csv file
description: The authors thanks the von Humbold Stiftung for financial support of the MaNiP project through the Max Planck research prize 2013 to Markus Reichstein
description: {"references": ["El-Madany et al., (2020) Drought and Heatwave Impacts on Semi-Arid Ecosystems' Carbon Fluxes along a Precipitation Gradient"]}
DOI: 10.5281/zenodo.3707842
title: Data for "Drought and Heatwave Impacts on Semi-Arid Ecosystems' Carbon Fluxes along a Precipitation Gradient"

description: These are flux and meteo data for the measurement sites ES-Abr and ES-LMa for the period from 2016-01-01 to 2019-12-31. These data were used for the publication: El-Madany, et al. (2020) "Drought and Heatwave Impacts on Semi-Arid Ecosystems’ Carbon Fluxes along a Precipitation Gradient" in Philosophical Transactions of the Royal Society B. Variables, units and description are found in the ReadmeDataDescription.csv file
description: The authors thanks the von Humbold Stiftung for financial support of the MaNiP project through the Max Planck research prize 2013 to Markus Reichstein
description: {"references": ["El-Madany et al., (2020) Drought and Heatwave Impacts on Semi-Arid Ecosystems' Carbon Fluxes along a Precipitation Gradient"]}
DOI: 10.5281/zenodo.3707840
title: Machine readable code lists for an algorithm to identify incident lung cancer in United States healthcare claims data

description: Machine readable code lists for an algorithm to identify incident lung cancer in United States healthcare claims data
DOI: 10.5281/zenodo.3707839
title: Machine readable code lists for an algorithm to identify incident lung cancer in United States healthcare claims data

description: Machine readable code lists for an algorithm to identify incident lung cancer in United States healthcare claims data
DOI: 10.15468/dl.pffaza
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paretroplus gymnopreopercularis Sparks, 2008)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087397-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26827321
title: 16维数据 for 锰

description: 共 16维数据 锰矿石相关
DOI: 10.6084/m9.figshare.26827321.v1
title: 16维数据 for 锰

description: 共 16维数据 锰矿石相关
DOI: 10.15468/dl.gu5ztm
title: Occurrence Download

description: A dataset containing 26568 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Helotropha leucostigma Hübner, 1808",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 26568 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087394-240626123714530/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.26827411
title: Simulation program for evaluating the power of the proposed statistic

description: This is a program that evaluates the statistical power of the proposed method.
DOI: 10.15468/dl.nf55vq
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Sitophilus zeamais Motschulsky & V.de, 1855",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 230 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087398-240626123714530/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.25097261
title: Holocene peat Hg anomalies

description: This project examines the major explosive volcanic eruptions recorded in peat. Hg data from three peat profiles, the Hongyuan and Dangxiong peat from the Tibetan Plateau and the Pinet peat record from France, were synthesized here to support our conclusions. All the Hg data and the MATLAB script are prepared for the manuscript entitled "Tibetan peat saw Holocene global major explosive volcanic eruptions".Corresponding author: Haijun PENG, penghaijun@mail.gyig.ac.cn.
DOI: 10.6084/m9.figshare.25097261.v1
title: Holocene peat Hg anomalies

description: This project examines the major explosive volcanic eruptions recorded in peat. Hg data from three peat profiles, the Hongyuan and Dangxiong peat from the Tibetan Plateau and the Pinet peat record from France, were synthesized here to support our conclusions. All the Hg data and the MATLAB script are prepared for the manuscript entitled "Tibetan peat saw Holocene global major explosive volcanic eruptions".Corresponding author: Haijun PENG, penghaijun@mail.gyig.ac.cn.
DOI: 10.15468/dl.jyqq8n
title: Occurrence Download

description: A dataset containing 235 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neobalanocarpus P.S.Ashton"
 ]
}

 The dataset includes 235 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087399-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vunn9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ptychochromis insolitus Stiassny & Sparks, 2006)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087400-240626123714530/datasets/export for details.
DOI: 10.15468/dl.wyeg53
title: Occurrence Download

description: A dataset containing 36491 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Ceramica pisi Linnaeus, 1758",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 36491 records from 201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087401-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vyjnyn
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Sitophilus zeamais Motschulsky & V.de, 1855",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 230 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087402-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tupxw
title: Occurrence Download

description: A dataset containing 772 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neofabricia Joy Thomps."
 ]
}

 The dataset includes 772 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087403-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j337s3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ptychochromoides itasy Sparks, 2004)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087404-240626123714530/datasets/export for details.
DOI: 10.15468/dl.h4v2s5
title: Occurrence Download

description: A dataset containing 4183 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Sideridis turbida Esper, 1790",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 4183 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087405-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.