cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4578532.v1
title: Growth experiment

description: Coparison of growth of PHB producing and secreting cells in TB, LB and 2xYT growth media.
DOI: 10.6084/m9.figshare.4578499
title: Temp

description: <br>
DOI: 10.6084/m9.figshare.4578544.v1
title: GLNC Database January 2017

description: The Georeferenced Lake Nutrient Chemistry (GLNC) Database was constructed to create a spatially-extensive lake chemistry database needed to assess atmospheric nutrient deposition effects on Western U.S. mountain lakes. The database includes nitrogen and phosphorus water chemistry data spanning 1964-2015, with 148,338 chemistry results from 51,048 samples collected across 3,602 lakes in the Western U.S. Data were obtained from public databases, government agencies, scientific literature, and researchers, and were formatted into a consistent table structure. All data are georeferenced to a modified version of the National Hydrography Dataset Plus version 2. The database is transparent and reproducible; R code and input files used to format data are provided in an appendix. The database will likely be useful to those assessing spatial patterns of lake nutrient chemistry associated with atmospheric deposition or other environmental stressors. A data paper describing the GLNC database is currently in review for publication.<br>
DOI: 10.6084/m9.figshare.4578526.v1
title: Modeling experiment crop coefficients hydrological modeling - outputs

description: Outputs of a modeling experiment on crop parameterization and hydrological modeling. Format: PC-RASTER<br>
DOI: 10.6084/m9.figshare.4578526.v2
title: Modeling experiment crop coefficients hydrological modeling

description: Inputs and outputs of a modeling experiment on crop parameterization and hydrological modeling. Climate forcings are in a separate file due to size. Formats: PC-RASTER, ASCII and Python<br>
DOI: 10.6084/m9.figshare.4578544.v2
title: GLNC Database January 2017

description: The Georeferenced Lake Nutrient Chemistry (GLNC) Database was constructed to create a spatially-extensive lake chemistry database needed to assess atmospheric nutrient deposition effects on Western U.S. mountain lakes. The database includes nitrogen and phosphorus water chemistry data spanning 1964-2015, with 148,338 chemistry results from 51,048 samples collected across 3,602 lakes in the Western U.S. Data were obtained from public databases, government agencies, scientific literature, and researchers, and were formatted into a consistent table structure. All data are georeferenced to a modified version of the National Hydrography Dataset Plus version 2. The database is transparent and reproducible; R code and input files used to format data are provided in an appendix. The database will likely be useful to those assessing spatial patterns of lake nutrient chemistry associated with atmospheric deposition or other environmental stressors. A data paper describing the GLNC database is currently in review for publication. Users should download the most current version of the database (Version 2, GLNC_database_Jan_25_2017).<br>
DOI: 10.6084/m9.figshare.4578544.v3
title: Georeferenced Lake Nutrient Chemistry (GLNC) Database

description: The Georeferenced Lake Nutrient Chemistry (GLNC) Database was constructed to create a spatially-extensive lake chemistry database needed to assess atmospheric nutrient deposition effects on Western U.S. mountain lakes. The database includes nitrogen and phosphorus water chemistry data spanning 1964-2015, with 148,338 chemistry results from 51,048 samples collected across 3,602 lakes in the Western U.S. Data were obtained from public databases, government agencies, scientific literature, and researchers, and were formatted into a consistent table structure. All data are georeferenced to a modified version of the National Hydrography Dataset Plus version 2. The database is transparent and reproducible; R code and input files used to format data are provided in an appendix. The database will likely be useful to those assessing spatial patterns of lake nutrient chemistry associated with atmospheric deposition or other environmental stressors. A data paper describing the GLNC database is currently in review for publication. Users should download the most recent version of the database (GLNC_database_Jan_25_2017).<br>
DOI: 10.6084/m9.figshare.4578544.v5
title: Georeferenced Lake Nutrient Chemistry (GLNC) Database (updated March 2019)

description: This fileset includes files associated with the Georeferenced Lake Nutrient Chemistry (GLNC) Database, which is described in an open access publication in Scientific Data:<br>Williams, J.J., Labou, S.G. 2017. A database of georeferenced nutrient chemistry data for mountain lakes of the Western United States. Scientific Data. 4: 170069. <br>http://dx.doi.org/10.1038/sdata.2017.69<br>The Georeferenced Lake Nutrient Chemistry (GLNC) Database was constructed to create a spatially-extensive lake chemistry database needed to assess atmospheric nutrient deposition effects on Western U.S. mountain lakes. The database includes nitrogen and phosphorus water chemistry data spanning 1964-2015, with 148,336 chemistry results from 51,048 samples collected across 3,602 lakes in the Western U.S. Data were obtained from public databases, government agencies, scientific literature, and researchers, and were formatted into a consistent table structure. All data are georeferenced to a modified version of the National Hydrography Dataset Plus version 2. The database is transparent and reproducible; R code and input files used to format data are provided in an appendix. The database will likely be useful to those assessing spatial patterns of lake nutrient chemistry associated with atmospheric deposition or other environmental stressors. The most recent version of the database was uploaded March 23, 2019.<br>Updates Log: <br>Updated March 2019 (GLNC_March_2019.zip) to correct total phosphorus (TP) units in s18 (western lake survey). In March 2017 version, orig_units were incorrect (should have been ug/L). Values in 'value' field should be have been divided by 1000 to get units of mg P/L consistent with parameter "TP_mg/L" and units "mg P/L". This has now been corrected.<br>
DOI: 10.6084/m9.figshare.4578544.v4
title: Georeferenced Lake Nutrient Chemistry (GLNC) Database

description: This fileset includes files associated with the Georeferenced Lake Nutrient Chemistry (GLNC) Database, which is described in an open access publication in Scientific Data:<br>Williams, J.J., Labou, S.G. 2017. A database of georeferenced nutrient chemistry data for mountain lakes of the Western United States. Scientific Data. 4: 170069. <br>http://dx.doi.org/10.1038/sdata.2017.69<br>The Georeferenced Lake Nutrient Chemistry (GLNC) Database was constructed to create a spatially-extensive lake chemistry database needed to assess atmospheric nutrient deposition effects on Western U.S. mountain lakes. The database includes nitrogen and phosphorus water chemistry data spanning 1964-2015, with 148,336 chemistry results from 51,048 samples collected across 3,602 lakes in the Western U.S. Data were obtained from public databases, government agencies, scientific literature, and researchers, and were formatted into a consistent table structure. All data are georeferenced to a modified version of the National Hydrography Dataset Plus version 2. The database is transparent and reproducible; R code and input files used to format data are provided in an appendix. The database will likely be useful to those assessing spatial patterns of lake nutrient chemistry associated with atmospheric deposition or other environmental stressors. The most recent version of the database was uploaded March 16, 2017.An interactive map that displays the locations of lakes in the GLNC database can be viewed here: http://rpubs.com/JasonWilliams/268322<br>
DOI: 10.6084/m9.figshare.4578391
title: Załącznik 1 – Analiza opóźnień wydawniczych

description: Załącznik do raportu "Analiza opóźnień wydawniczych polskich czasopism naukowych".
DOI: 10.6084/m9.figshare.4578391.v1
title: Załącznik 1 – Analiza opóźnień wydawniczych

description: Załącznik do raportu "Analiza opóźnień wydawniczych polskich czasopism naukowych".
DOI: 10.6084/m9.figshare.4578382
title: Rodent abundance and vegetation responses to grazing

description: Data on rodent abundances and vegetation grazing responses supporting results in:<br>Hoset et al. Changes in the spatial configuration and strength of trophic control across a productivity gradient during a massive rodent outbreak. Ecosystems xx.<br><br>See details in publication and public collection containing these data files.<br><br>
DOI: 10.6084/m9.figshare.4578292
title: BioCreative V.5 TIPS dictionary

description: Complete dictionary used by http://tagger.jensenlab.org for participation in the BioCreative V.5 BeCalm TIPS task.
DOI: 10.6084/m9.figshare.4578292.v1
title: BioCreative V.5 TIPS dictionary

description: Complete dictionary used by http://tagger.jensenlab.org for participation in the BioCreative V.5 BeCalm TIPS task.
DOI: 10.6084/m9.figshare.4578283
title: Twitter archive for Women's March #womensmarch - the global protest, 21 January 2017

description: This file contains a data set of 38606 tweets tagged with #womensmarch (case not sensitive) that were published on Twitter between 21/01/2017 20:45:23 and 22/01/2017 08:16:53 GMT.<br>This data set was created and shared by Sarah Gallagher @sarahlibrarina (University of Otago, Dunedin, New Zealand) with a Creative Commons Attribution license (CC-BY) “as is” to encourage open research into scholarly activity on Twitter.<br>The Tweets contained in this file were collected using Martin Hawksey’s [@mhawksey] TAGS v6.1 http://tags.hawksey.info/<br>Duplicates have been automatically removed. Despite this intervention data may require further refining. The contents of each Tweet are responsibility of the original authors. <br>As noted by Priego (2014) “both research and experience show that the Twitter search API isn't 100% reliable. Large tweet volumes affect the search collection process. The API might "over-represent the more central users", not offering "an accurate picture of peripheral activity" (González-Bailón, Sandra, et al. 2012). Therefore there is no guarantee that this file contains all Tweets tagged with (#womensmarch) during the indicated period. <br>If you use or refer to this data in any way please cite it using the preferred citation above.<br>Contact: @sarahlibrarina<br><br>
DOI: 10.6084/m9.figshare.4578283.v1
title: Twitter archive for Women's March #womensmarch - the global protest, 21 January 2017

description: This file contains a data set of 38606 tweets tagged with #womensmarch (case not sensitive) that were published on Twitter between 21/01/2017 20:45:23 and 22/01/2017 08:16:53 GMT.<br>This data set was created and shared by Sarah Gallagher @sarahlibrarina (University of Otago, Dunedin, New Zealand) with a Creative Commons Attribution license (CC-BY) “as is” to encourage open research into scholarly activity on Twitter.<br>The Tweets contained in this file were collected using Martin Hawksey’s [@mhawksey] TAGS v6.1 http://tags.hawksey.info/<br>Duplicates have been automatically removed. Despite this intervention data may require further refining. The contents of each Tweet are responsibility of the original authors. <br>As noted by Priego (2014) “both research and experience show that the Twitter search API isn't 100% reliable. Large tweet volumes affect the search collection process. The API might "over-represent the more central users", not offering "an accurate picture of peripheral activity" (González-Bailón, Sandra, et al. 2012). Therefore there is no guarantee that this file contains all Tweets tagged with (#womensmarch) during the indicated period. <br>If you use or refer to this data in any way please cite it using the preferred citation above.<br>Contact: @sarahlibrarina<br><br>
DOI: 10.6084/m9.figshare.4578010
title: Data, plotting scripts, and figures for "pyJac: analytical Jacobian generator for chemical kinetics"

description: This bundle of files contains all the data and plotting scripts necessary to reproduce the figures in the paper "pyJac: analytical Jacobian generator for chemical kinetics", as well as the figures themselves.<br>These results are part of the paper:Kyle E. Niemeyer, Nicholas J. Curtis, Chih-Jen Sung. "pyJac: analytical Jacobian generator for chemical kinetics," 2017. Under review, available at https://arxiv.org/abs/1605.03262<br><br><b>Acknowledgements:</b>This material is based upon work supported by the National Science Foundation under grants ACI-1535065 and ACI-1534688.<br>
DOI: 10.6084/m9.figshare.4577971
title: Amino acid sequences of antibiotic resistance genes

description: A file of amino acid FASTA sequences that passed BLAST cut-off values when BLASTed against the CARD database (McArthur et al. 2013). BLAST cut-off values were 40% identity, 50% alignment length of the query gene and a BLAST score of 60.
DOI: 10.6084/m9.figshare.4577977
title: Amino acid sequences of virulence factor genes

description: A file of amino acid FASTA sequences that passed BLAST cut-off values when BLASTed against the Virulence Factor database (Chen et al. 2005). BLAST cut-off values were 70% identity and 90% alignment length of the query gene.<br>
DOI: 10.6084/m9.figshare.4577971.v1
title: Amino acid sequences of antibiotic resistance genes

description: A file of amino acid FASTA sequences that passed BLAST cut-off values when BLASTed against the CARD database (McArthur et al. 2013). BLAST cut-off values were 40% identity, 50% alignment length of the query gene and a BLAST score of 60.
DOI: 10.6084/m9.figshare.4577977.v2
title: Amino acid sequences of virulence factor genes

description: A file of amino acid FASTA sequences that passed BLAST cut-off values when BLASTed against the Virulence Factor database (Chen et al. 2005). BLAST cut-off values were 70% identity and 90% alignment length of the query gene.<br>
DOI: 10.6084/m9.figshare.4577977.v1
title: Amino acid sequences of virulence factor genes

description: A file of amino acid FASTA sequences that passed BLAST cut-off values when BLASTed against the Virulence Factor database (Chen et al. 2005). BLAST cut-off values were 40% identity, 50% alignment length of the query gene and a BLAST score of 60.
DOI: 10.6084/m9.figshare.4577926
title: Data Tables.xlsx

description: Viral and bacteria detection
DOI: 10.6084/m9.figshare.4577926.v2
title: Data Tables.xlsx

description: Viral and bacteria detection
DOI: 10.6084/m9.figshare.4577926.v1
title: Control Group Data Table.xlsx

description: Viral and bacteria detection
DOI: 10.6084/m9.figshare.4573504
title: Pfeifer_etal_2017_Nature

description: These files are the data generated and used for tables, stats and graphs in the publication Pfeifer et al. 2017 Nature
DOI: 10.6084/m9.figshare.4573450
title: OCC provenance data of all the resource embodiments, as of December 24, 2016

description: <pre>This archive contains the dump of the OpenCitation Corpus (OCC, http://opencitations.net) provenance data about resource embodiments, created regularly every month.<br><br>After unzipping the archive, Disk ARchive (DAR, http://dar.linux.free.fr/, a multi-platform archive tool for managing huge amount of data) is needed for recreating the whole structure. For extracting the DAR archive, please run the command<br><br>dar -x [archive-name]<br><br>Where "[archive-name"] is the name of the DAR file without final package number and extension. E.g.:<br><br>dar -x 2016-09-23-corpus_re<br><br>For further questions, comments, and suggestions please don't hesitate to contact Silvio Peroni at essepuntato@opencitations.net.</pre>
DOI: 10.6084/m9.figshare.4573450.v1
title: OCC provenance data of all the resource embodiments, as of December 24, 2016

description: <pre>This archive contains the dump of the OpenCitation Corpus (OCC, http://opencitations.net) provenance data about resource embodiments, created regularly every month.<br><br>After unzipping the archive, Disk ARchive (DAR, http://dar.linux.free.fr/, a multi-platform archive tool for managing huge amount of data) is needed for recreating the whole structure. For extracting the DAR archive, please run the command<br><br>dar -x [archive-name]<br><br>Where "[archive-name"] is the name of the DAR file without final package number and extension. E.g.:<br><br>dar -x 2016-09-23-corpus_re<br><br>For further questions, comments, and suggestions please don't hesitate to contact Silvio Peroni at essepuntato@opencitations.net.</pre>
DOI: 10.6084/m9.figshare.4573444
title: OCC provenance data of all the identifiers, as of December 24, 2016

description: <pre>This archive contains the dump of the OpenCitation Corpus (OCC, http://opencitations.net) provenance data about identifiers, created regularly every month.<br><br>After unzipping the archive, Disk ARchive (DAR, http://dar.linux.free.fr/, a multi-platform archive tool for managing huge amount of data) is needed for recreating the whole structure. For extracting the DAR archive, please run the command<br><br>dar -x [archive-name]<br><br>Where "[archive-name"] is the name of the DAR file without final package number and extension. E.g.:<br><br>dar -x 2016-09-23-corpus_re<br><br>For further questions, comments, and suggestions please don't hesitate to contact Silvio Peroni at essepuntato@opencitations.net.</pre>
DOI: 10.6084/m9.figshare.4573447
title: OCC provenance data of all the responsible agents, as of December 24, 2016

description: <pre>This archive contains the dump of the OpenCitation Corpus (OCC, http://opencitations.net) provenance data about responsible agents, created regularly every month.<br><br>After unzipping the archive, Disk ARchive (DAR, http://dar.linux.free.fr/, a multi-platform archive tool for managing huge amount of data) is needed for recreating the whole structure. For extracting the DAR archive, please run the command<br><br>dar -x [archive-name]<br><br>Where "[archive-name"] is the name of the DAR file without final package number and extension. E.g.:<br><br>dar -x 2016-09-23-corpus_re<br><br>For further questions, comments, and suggestions please don't hesitate to contact Silvio Peroni at essepuntato@opencitations.net.</pre>
DOI: 10.6084/m9.figshare.4573441
title: OCC provenance data of all the bibliographic resources, as of December 24, 2016

description: <pre>This archive contains the dump of the OpenCitation Corpus (OCC, http://opencitations.net) provenance data about bibliographic resources, created regularly every month.<br><br>After unzipping the archive, Disk ARchive (DAR, http://dar.linux.free.fr/, a multi-platform archive tool for managing huge amount of data) is needed for recreating the whole structure. For extracting the DAR archive, please run the command<br><br>dar -x [archive-name]<br><br>Where "[archive-name"] is the name of the DAR file without final package number and extension. E.g.:<br><br>dar -x 2016-09-23-corpus_re<br><br>For further questions, comments, and suggestions please don't hesitate to contact Silvio Peroni at essepuntato@opencitations.net.</pre>
DOI: 10.6084/m9.figshare.4573447.v1
title: OCC provenance data of all the responsible agents, as of December 24, 2016

description: <pre>This archive contains the dump of the OpenCitation Corpus (OCC, http://opencitations.net) provenance data about responsible agents, created regularly every month.<br><br>After unzipping the archive, Disk ARchive (DAR, http://dar.linux.free.fr/, a multi-platform archive tool for managing huge amount of data) is needed for recreating the whole structure. For extracting the DAR archive, please run the command<br><br>dar -x [archive-name]<br><br>Where "[archive-name"] is the name of the DAR file without final package number and extension. E.g.:<br><br>dar -x 2016-09-23-corpus_re<br><br>For further questions, comments, and suggestions please don't hesitate to contact Silvio Peroni at essepuntato@opencitations.net.</pre>
DOI: 10.6084/m9.figshare.4573438
title: OCC provenance data of all the bibliographic entries, as of December 24, 2016

description: <pre>This archive contains the dump of the OpenCitation Corpus (OCC, http://opencitations.net) provenance data about bibliographic entries, created regularly every month.<br><br>After unzipping the archive, Disk ARchive (DAR, http://dar.linux.free.fr/, a multi-platform archive tool for managing huge amount of data) is needed for recreating the whole structure. For extracting the DAR archive, please run the command<br><br>dar -x [archive-name]<br><br>Where "[archive-name"] is the name of the DAR file without final package number and extension. E.g.:<br><br>dar -x 2016-09-23-corpus_re<br><br>For further questions, comments, and suggestions please don't hesitate to contact Silvio Peroni at essepuntato@opencitations.net.</pre>
DOI: 10.6084/m9.figshare.4573441.v1
title: OCC provenance data of all the bibliographic resources, as of December 24, 2016

description: <pre>This archive contains the dump of the OpenCitation Corpus (OCC, http://opencitations.net) provenance data about bibliographic resources, created regularly every month.<br><br>After unzipping the archive, Disk ARchive (DAR, http://dar.linux.free.fr/, a multi-platform archive tool for managing huge amount of data) is needed for recreating the whole structure. For extracting the DAR archive, please run the command<br><br>dar -x [archive-name]<br><br>Where "[archive-name"] is the name of the DAR file without final package number and extension. E.g.:<br><br>dar -x 2016-09-23-corpus_re<br><br>For further questions, comments, and suggestions please don't hesitate to contact Silvio Peroni at essepuntato@opencitations.net.</pre>
DOI: 10.6084/m9.figshare.4573444.v1
title: OCC provenance data of all the identifiers, as of December 24, 2016

description: <pre>This archive contains the dump of the OpenCitation Corpus (OCC, http://opencitations.net) provenance data about identifiers, created regularly every month.<br><br>After unzipping the archive, Disk ARchive (DAR, http://dar.linux.free.fr/, a multi-platform archive tool for managing huge amount of data) is needed for recreating the whole structure. For extracting the DAR archive, please run the command<br><br>dar -x [archive-name]<br><br>Where "[archive-name"] is the name of the DAR file without final package number and extension. E.g.:<br><br>dar -x 2016-09-23-corpus_re<br><br>For further questions, comments, and suggestions please don't hesitate to contact Silvio Peroni at essepuntato@opencitations.net.</pre>