cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1226269.v10
title: Bulk Domain Names CSV Files -- varocarbas.com -- weekly updated

description: List of valid web domain names collected by the (bulk) crawling bots (stage-1 bots) running on varocarbas.com. These bots perform a blind recursive analysis of links, based on the "everything is connected" idea. That is: they started in a given webpage and are expected to retrieve a relevant proportion of all the existing domain names.
DOI: 10.6084/m9.figshare.1225923
title: York NSTP Conference 2014 - Filazzola NSTP analyses

description: R script for analyses of data collected at Pink Mountains, British Columbia for the Northern Studies Training Program (Canada).
DOI: 10.6084/m9.figshare.1225973.v1
title: Experimental Design Data

description: Akhilesh Kadian
DOI: 10.6084/m9.figshare.1226041.v2
title: Presentations

description: Powerpoint slides from research presentations, starting in 2001.
DOI: 10.6084/m9.figshare.1225923.v2
title: York NSTP Conference 2014 - Filazzola NSTP analyses

description: R script for analyses of data collected at Pink Mountains, British Columbia for the Northern Studies Training Program (Canada).
DOI: 10.6084/m9.figshare.1226269.v11
title: Bulk Domain Names CSV Files -- varocarbas.com -- weekly updated

description: List of valid web domain names collected by the (bulk) crawling bots (stage-1 bots) running on varocarbas.com. These bots perform a blind recursive analysis of links, based on the "everything is connected" idea. That is: they started in a given webpage and are expected to retrieve a relevant proportion of all the existing domain names.
DOI: 10.6084/m9.figshare.1225923.v1
title: York NSTP Conference 2014 - Filazzola NSTP analyses

description: R script for analyses of data collected at Pink Mountains, British Columbia for the Northern Studies Training Program (Canada).
DOI: 10.6084/m9.figshare.1226041.v3
title: Presentations

description: Powerpoint slides from research presentations, starting in 2001.
DOI: 10.6084/m9.figshare.1225921
title: LTSTM data from 18th to 29th September 2003

description: This is low temperature STM data from the 18th to the 29th of September 2003.
DOI: 10.6084/m9.figshare.1226041.v4
title: Presentations

description: Powerpoint slides from research presentations, starting in 2001.
DOI: 10.6084/m9.figshare.1226269.v12
title: Bulk Domain Names CSV Files -- varocarbas.com -- weekly updated

description: List of valid web domain names collected by the (bulk) crawling bots (stage-1 bots) running on varocarbas.com. These bots perform a blind recursive analysis of links, based on the "everything is connected" idea. That is: they started in a given webpage and are expected to retrieve a relevant proportion of all the existing domain names.
DOI: 10.6084/m9.figshare.1225754
title: Gaussian Job Archive for C12H12FeO2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1225921.v1
title: LTSTM data from 18th to 29th September 2003

description: This is low temperature STM data from the 18th to the 29th of September 2003.
DOI: 10.6084/m9.figshare.1225754.v1
title: Gaussian Job Archive for C12H12FeO2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1226041.v5
title: Presentations

description: Powerpoint slides from research presentations, starting in 2001.
DOI: 10.6084/m9.figshare.1225711
title: Gaussian Job Archive for C3H4Cl2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1225712
title: Gaussian Job Archive for C3H4Cl2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1226269.v13
title: Bulk Domain Names CSV Files -- varocarbas.com -- weekly updated

description: List of valid web domain names collected by the (bulk) crawling bots (stage-1 bots) running on varocarbas.com. These bots perform a blind recursive analysis of links, based on the "everything is connected" idea. That is: they started in a given webpage and are expected to retrieve a relevant proportion of all the existing domain names.
DOI: 10.6084/m9.figshare.1225710
title: Gaussian Job Archive for C14H17Cl

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1225712.v1
title: Gaussian Job Archive for C3H4Cl2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1225703
title: Gaussian Job Archive for C12H11F5O

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1225708
title: Gaussian Job Archive for C12H36CoN6(3+)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1225710.v1
title: Gaussian Job Archive for C14H17Cl

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1225711.v1
title: Gaussian Job Archive for C3H4Cl2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1226269.v14
title: Bulk Domain Names CSV Files -- varocarbas.com -- weekly updated

description: List of valid web domain names collected by the (bulk) crawling bots (stage-1 bots) running on varocarbas.com. These bots perform a blind recursive analysis of links, based on the "everything is connected" idea. That is: they started in a given webpage and are expected to retrieve a relevant proportion of all the existing domain names.
DOI: 10.6084/m9.figshare.1225680
title: Genome-wide quantitative trait locus mapping identifies multiple major loci for brittle rachis and threshability in Tibetan semi-wild wheat (Triticum aestivum ssp. tibetanum Shao)

description: The genotype of 564 DArT and 117 SSR makers in 186 RILs and parents; The phenotype for brittle rachis and threshability in RILs and parents
DOI: 10.6084/m9.figshare.1225708.v1
title: Gaussian Job Archive for C12H36CoN6(3+)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1226269.v16
title: Bulk Domain Names CSV Files -- varocarbas.com -- weekly updated

description: List of valid web domain names collected by the (bulk) crawling bots (stage-1 bots) running on varocarbas.com. These bots perform a blind recursive analysis of links, based on the "everything is connected" idea. That is: they started in a given webpage and are expected to retrieve a relevant proportion of all the existing domain names.
DOI: 10.6084/m9.figshare.1225680.v1
title: Genome-wide quantitative trait locus mapping identifies multiple major loci for brittle rachis and threshability in Tibetan semi-wild wheat (Triticum aestivum ssp. tibetanum Shao)

description: The genotype of 564 DArT and 117 SSR makers in 186 RILs and parents; The phenotype for brittle rachis and threshability in RILs and parents
DOI: 10.6084/m9.figshare.1226269.v15
title: Bulk Domain Names CSV Files -- varocarbas.com -- weekly updated

description: List of valid web domain names collected by the (bulk) crawling bots (stage-1 bots) running on varocarbas.com. These bots perform a blind recursive analysis of links, based on the "everything is connected" idea. That is: they started in a given webpage and are expected to retrieve a relevant proportion of all the existing domain names.
DOI: 10.6084/m9.figshare.1224388
title: Influenza Database: ClinicalTrials.gov & PubMed | Search Date: October 31, 2014

description: ClinicalTrials.gov & PubMed Database Google Drive Spreadsheet is open (comments allowed in the settings of this archive)
DOI: 10.6084/m9.figshare.1225703.v1
title: Gaussian Job Archive for C12H11F5O

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1224348
title: IDRC Regional Watershed Historical Weather Study Town Brook, NY, USA

description: Town Brook watershed, Catskills, New York. SWATWB was also tested on the Town Brook watershed (Figure 2) in the USA, a 37 km2 sub-catchment of the Cannonsville reservoir basin. The region is typified by steep-to-moderate hillslopes of glacial origins with shallow permeable soils, underlain by a restrictive layer. The climate is humid with an average annual temperature of 8 ¢XC and average annual precipitation of 1123 mm. Elevation in the watershed ranges from 493 to 989 m above mean sea level. The slopes are quite steep with a maximum of 91%, and a mean of 21%. Soils are mainly silt loam or silty clay loam with soil hydrological group C ratings (USDA–NRCS, 2000). Soil depth ranges from less than 50 cm to greater than 1 m and is underlain by a fragipan restricting layer (e.g. coarse-loamy, mixed, active, mesic, to frigid Typic Fragiudepts, Lytic or Typic Dystrudepts common to glacial tills) (Schneiderman et al., 2002). The lowland portion of the watershed is predominantly agricultural, consisting of pasture and row crops (20%) or shrub land (18%), whereas the upper slopes are forested (60%). Water and wetlands comprise 2%. Impervious surfaces occupy &lt;1% of the watershed and were thus excluded from consideration in the model. Several studies in this watershed or nearby watersheds have shown that VSAs control overland flow generation (Frankenberger et al., 1999; Mehta et al., 2004; Lyon et al., 2006; Schneiderman et al., 2007; Easton et al., 2008) and that infiltration-excess runoff is rare (Walter et al., 2003). This is an example dataset to be used as a template as well as demo for NSF BCube Brokering project, and as such it is subject to change.
DOI: 10.6084/m9.figshare.1224365
title: Master Regulator Candidates (Full Tables)

description: Full tables of all Master Regulator candidates for all sampled regions and comparisons, along with their associated Normalized Enrichment Scores (NES) and p-values. The tables contain the results for Shell of the Nucleus Accumbens (Shell), Core of the Nucleus Accumbens (Core), Medial Prefrontal Cortex (MPF), Central Amygdala (CeA), Basolateral Amygdala (BLA), BNST Ventral (BNSTVentral), BNST Dorsal (BNST), Ventral Tegmental Area (VTA) for both the Naive vs NonDependent and NonDependent vs Dependent comparisons.
DOI: 10.6084/m9.figshare.1225703.v3
title: Gaussian Job Archive for C12H11F5O

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1224348.v1
title: IDRC Regional Watershed Historical Weather Study Town Brook, NY, USA

description: Town Brook watershed, Catskills, New York. SWATWB was also tested on the Town Brook watershed (Figure 2) in the USA, a 37 km2 sub-catchment of the Cannonsville reservoir basin. The region is typified by steep-to-moderate hillslopes of glacial origins with shallow permeable soils, underlain by a restrictive layer. The climate is humid with an average annual temperature of 8 ¢XC and average annual precipitation of 1123 mm. Elevation in the watershed ranges from 493 to 989 m above mean sea level. The slopes are quite steep with a maximum of 91%, and a mean of 21%. Soils are mainly silt loam or silty clay loam with soil hydrological group C ratings (USDA–NRCS, 2000). Soil depth ranges from less than 50 cm to greater than 1 m and is underlain by a fragipan restricting layer (e.g. coarse-loamy, mixed, active, mesic, to frigid Typic Fragiudepts, Lytic or Typic Dystrudepts common to glacial tills) (Schneiderman et al., 2002). The lowland portion of the watershed is predominantly agricultural, consisting of pasture and row crops (20%) or shrub land (18%), whereas the upper slopes are forested (60%). Water and wetlands comprise 2%. Impervious surfaces occupy &lt;1% of the watershed and were thus excluded from consideration in the model. Several studies in this watershed or nearby watersheds have shown that VSAs control overland flow generation (Frankenberger et al., 1999; Mehta et al., 2004; Lyon et al., 2006; Schneiderman et al., 2007; Easton et al., 2008) and that infiltration-excess runoff is rare (Walter et al., 2003). This is an example dataset to be used as a template as well as demo for NSF BCube Brokering project, and as such it is subject to change.
DOI: 10.6084/m9.figshare.1224388.v2
title: Influenza Database: ClinicalTrials.gov & PubMed | Search Date: October 31, 2014

description: ClinicalTrials.gov & PubMed Database Google Drive Spreadsheet is open (comments allowed in the settings of this archive)
DOI: 10.6084/m9.figshare.1224388.v1
title: Influenza Database: ClinicalTrials.gov & PubMed | Search Query: October 31, 2014

description: ClinicalTrials.gov & PubMed Database Google Drive Spreadsheet is open (comments allowed in the settings of this archive)
DOI: 10.6084/m9.figshare.1225703.v2
title: Gaussian Job Archive for C12H11F5O

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1224346
title: Framing a Repository Solution for Bioimaging Datasets: Preserving Utility, Not Bits

description: Describes Oregon Health and Science University Library's efforts to address researcher needs related to sharing and publishing bioimaging data sets. We are proposing a solution that focused that faciliates utility, not just preservation.
DOI: 10.6084/m9.figshare.1224344
title: Twitter archive from UX Design Day in Dunedin 31 October 2014 #UXDD

description: This file contains a data set of 913 tweets (890 unique tweets) tagged with @uxdesignday OR #uxdd OR #uxdesignday (case not sensitive) that were published on Twitter between 24 October 2014 03:18:33 and 31 October 2014 20:03:31 GMT. This file was created and shared by Sarah Gallagher (University of Otago, Dunedin, New Zealand), “as is”, with a Creative Commons- Attribution license (CC-BY) for academic research and educational use. The Tweets contained in this file were collected using Martin Hawksey’s [@mhawksey] TAGS 6.0 http://tags.hawksey.info/ An automatic deduplication has been performed but data may require further refining. Retweets have been retained. The contents of each Tweet are responsibility of the original authors. As noted by Priego [1] “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 all Tweets tagged with (@uxdesignday OR #uxdd OR #uxdesignday) during the indicated period. This dataset is shared to encourage open research into scholarly activity on Twitter. If you use or refer to this data in any way please cite using the prefered citation above. Contact: @sarahlibrarina [1] Priego, Ernesto (2014): A #HEFCEmetrics Twitter Archive. figshare. http://dx.doi.org/10.6084/m9.figshare.1196029.
DOI: 10.6084/m9.figshare.1224365.v1
title: Master Regulator Candidates (Full Tables)

description: Full tables of all Master Regulator candidates for all sampled regions and comparisons, along with their associated Normalized Enrichment Scores (NES) and p-values. The tables contain the results for Shell of the Nucleus Accumbens (Shell), Core of the Nucleus Accumbens (Core), Medial Prefrontal Cortex (MPF), Central Amygdala (CeA), Basolateral Amygdala (BLA), BNST Ventral (BNSTVentral), BNST Dorsal (BNST), Ventral Tegmental Area (VTA) for both the Naive vs NonDependent and NonDependent vs Dependent comparisons. <strong></strong>
DOI: 10.6084/m9.figshare.1224343
title: Lab 5 2050

description: A random point at the edge of York University woodland was picked. To pick the random point a pseudorandom method was used. First 5 different spots along the edge of the woodland was chosen and assigned a number from 1 to 5. Next using a random number generator application set from 1 to 5 the spot that corresponded with the number that was generated via the application was chosen as the starting point. Starting from that point 25 meters of transect tape was pulled out and place on the floor, orientated towards the center of the woodlands. The investigator then walked along the 25 meter transect tape and took measurement of the first maple tree seen within 3 meters of the transect tape. The distance along the transect tape where the investigator spotted the first maple tree within 3 meters of the transect tape was recorded as the distance from the edge of the forest in meters. The DBH or diameter at breast height of the selected maple tree was taking in centimeters with another 25 meter transect tape and recorded. Next the distances from breast height of the selected tree to the breast height of the 3 nearest adult tree were taken in meters and recorded as D1, D2 and D3 respectively. The arithmetic mean of the 3 distances was determined and recorded as Dmean. The investigator then returned to the distance on the transect tape where he spotted the first maple tree and continued to walk along the transect tape until he spotted the next maple tree within 3 meters of the transect tape. When the next maple tree was spotted the same steps as above occurred until the investigators reached the end of the 25 meter transect tape. When the investigator reached the end of the 25 meter transect tape that constituted one sample. After the one sample was finished a different random point at the edge of York University woodland was chosen and the same steps occurred. This entire process was repeated until a sample of 30 was reached.
DOI: 10.6084/m9.figshare.1224342
title: Twitter archive from eResearch Australasia 2014 Towards Unified Global Research #eres2014

description: This file contains a data set of 1594 tweets (1540 unique tweets) tagged with #eres2014 OR #eresearch OR #MarsdenOnlineArchive OR #marsdenarchive OR #marsdenonline OR marsdenarchive (case not sensitive) that were published on Twitter between 20 October 2014 23:25:46 and 31 October 2014 16:00:30 GMT. This file was created and shared by Sarah Gallagher (University of Otago, Dunedin, New Zealand), “as is”, with a Creative Commons- Attribution license (CC-BY) for academic research and educational use. The Tweets contained in this file were collected using Martin Hawksey’s [@mhawksey] TAGS 6.0 http://tags.hawksey.info/ An automatic deduplication has been performed but data may require further refining. Retweets have been retained. The contents of each Tweet are responsibility of the original authors. As noted by Priego [1] “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 all Tweets tagged with (#eres2014 OR #eresearch OR #MarsdenOnlineArchive OR #marsdenarchive OR #marsdenonline OR marsdenarchive during the indicated period. This dataset is shared to encourage open research into scholarly activity on Twitter. If you use or refer to this data in any way please cite using the prefered citation above. Contact: @sarahlibrarina [1] Priego, Ernesto (2014): A #HEFCEmetrics Twitter Archive. figshare. http://dx.doi.org/10.6084/m9.figshare.1196029.
DOI: 10.6084/m9.figshare.1224343.v1
title: Lab 5 2050

description: A random point at the edge of York University woodland was picked. To pick the random point a pseudorandom method was used. First 5 different spots along the edge of the woodland was chosen and assigned a number from 1 to 5. Next using a random number generator application set from 1 to 5 the spot that corresponded with the number that was generated via the application was chosen as the starting point. Starting from that point 25 meters of transect tape was pulled out and place on the floor, orientated towards the center of the woodlands. The investigator then walked along the 25 meter transect tape and took measurement of the first maple tree seen within 3 meters of the transect tape. The distance along the transect tape where the investigator spotted the first maple tree within 3 meters of the transect tape was recorded as the distance from the edge of the forest in meters. The DBH or diameter at breast height of the selected maple tree was taking in centimeters with another 25 meter transect tape and recorded. Next the distances from breast height of the selected tree to the breast height of the 3 nearest adult tree were taken in meters and recorded as D1, D2 and D3 respectively. The arithmetic mean of the 3 distances was determined and recorded as Dmean. The investigator then returned to the distance on the transect tape where he spotted the first maple tree and continued to walk along the transect tape until he spotted the next maple tree within 3 meters of the transect tape. When the next maple tree was spotted the same steps as above occurred until the investigators reached the end of the 25 meter transect tape. When the investigator reached the end of the 25 meter transect tape that constituted one sample. After the one sample was finished a different random point at the edge of York University woodland was chosen and the same steps occurred. This entire process was repeated until a sample of 30 was reached.
DOI: 10.6084/m9.figshare.1224342.v1
title: Twitter archive from eResearch Australasia 2014 Towards Unified Global Research #eres2014

description: This file contains a data set of 1594 tweets (1540 unique tweets) tagged with #eres2014 OR #eresearch OR #MarsdenOnlineArchive OR #marsdenarchive OR #marsdenonline OR marsdenarchive (case not sensitive) that were published on Twitter between 20 October 2014 23:25:46 and 31 October 2014 16:00:30 GMT. This file was created and shared by Sarah Gallagher (University of Otago, Dunedin, New Zealand), “as is”, with a Creative Commons- Attribution license (CC-BY) for academic research and educational use. The Tweets contained in this file were collected using Martin Hawksey’s [@mhawksey] TAGS 6.0 http://tags.hawksey.info/ An automatic deduplication has been performed but data may require further refining. Retweets have been retained. The contents of each Tweet are responsibility of the original authors. As noted by Priego [1] “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 all Tweets tagged with (#eres2014 OR #eresearch OR #MarsdenOnlineArchive OR #marsdenarchive OR #marsdenonline OR marsdenarchive during the indicated period. This dataset is shared to encourage open research into scholarly activity on Twitter. If you use or refer to this data in any way please cite using the prefered citation above. Contact: @sarahlibrarina [1] Priego, Ernesto (2014): A #HEFCEmetrics Twitter Archive. figshare. http://dx.doi.org/10.6084/m9.figshare.1196029.