cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.18514985
title: Dataset

description: Fig. 1 Spearman’s correlations between the relative abundance of bacterial genus and the percentage content of SAFAs, MUFAs, and PUFAs in bacterial degradation of permafrost DOC experiments and hierarchical cluster analysis for bacterial genera. Fig. 2 The growth and reproduction of Daphnia raised on Chlorella (Chlo) and bacteria converted soil DOC with DOC:Chlo ratios of 1:2, 1:1, and 2:1. The treatment of Daphnia fed exclusively with Chlorella or DOC is set as a positive control and a negative control, respectively. Body length (mm, mean ± SD) (a), cumulative neonates (ind-1, mean ± SD) (b), survival rate (%, mean ± SD) (c), and intrinsic rates of population increase (d-1).Figure 3 Radiocarbon isotopes (∆14C) of Chlorella (Chlo), frozen soil DOC, and Daphnia in the treatments having DOC:Chlo ratios of 1:2, 1:1, and 2:1. The treatment of Daphnia fed exclusively with Chlorella or DOC is set as a positive control and a negative control, respectively. Blue dot indicates Daphnia and red dot represents diet. The error bar represents the analysis error. <br>
DOI: 10.5281/zenodo.5766940
title: CFD and Testbench Measurements of the Deutz TCD12 V6 Diesel Engine

description: <strong>Motivation</strong><br> The data set was used to fit and validate an air path model of the TCD12 V6 diesel engine. <strong>Research article</strong><br> Thiel, Michael, and Bernd Tibken. "A diesel engine air path model with a WG and an ETV for exhaust temperature controller design and embedded control." <em>Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering</em> (2022): 09544070211069216. <strong>Description</strong> <strong>airpath_tcd12_true.pdf</strong>: Overview of the engine <strong>airpath_tcd12.pdf: </strong>Overview of labels used <strong>gt_doe.csv:</strong> Stationary data (CFD simulation) <strong>gt_nrtc.csv:</strong> A section of NRTC test cycle (CFD simulation) <strong>tb_nrtc.csv:</strong> A section of the NRTC (Egnine test bench)
DOI: 10.5281/zenodo.5764897
title: CFD and Testbench Measurements of the Deutz TCD12 V6 Diesel Engine

description: <strong>Motivation</strong><br> The data set was used to fit and validate an air path model of the TCD12 V6 diesel engine. <strong>Research article</strong><br> Thiel, Michael, and Bernd Tibken. "A diesel engine air path model with a WG and an ETV for exhaust temperature controller design and embedded control." <em>Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering</em> (2022): 09544070211069216. <strong>Description</strong> <strong>airpath_tcd12_true.pdf</strong>: Overview of the engine <strong>airpath_tcd12.pdf: </strong>Overview of labels used <strong>gt_doe.csv:</strong> Stationary data (CFD simulation) <strong>gt_nrtc.csv:</strong> A section of NRTC test cycle (CFD simulation) <strong>tb_nrtc.csv:</strong> A section of the NRTC (Egnine test bench)
DOI: 10.34740/kaggle/dsv/3049946
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.6084/m9.figshare.18497600.v1
title: FROM-GLC Plus: Towards near real-time and multi-resolution land cover mapping

description: Building on the earlier Global Land Cover Mapping (Finer Resolution Observation and Monitoring - Global Land Cover, FROM-GLC), we developed the improved Global Land Cover Change Monitoring Platform (FROM-GLC Plus) using methods such as multi-season sample space-time migration, multi-source data time series reconstruction, and machine learning. The FROM-GLC Plus system provides a capacity for producing global land cover change data set from the 1980s with flexibility in spatio–temporal details. The preliminary results of multi-resolution land cover maps in Chicago, U. S. is given here.<br>Values in the files: 10-cropland20-forest30-grassland40-shrubland50-wetland60-water70-tundra80-impervious90-bare land100-ice/snow120-clouds
DOI: 10.34740/kaggle/dsv/3050004
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.16697836
title: JAOC-Endnote.htm

description: Endnote of the JAOC journal.<br>
DOI: 10.6084/m9.figshare.16697836.v4
title: JAOC-Endnote.htm

description: Endnote of the JAOC journal.<br>
DOI: 10.6084/m9.figshare.16697836.v3
title: JAOC-Endnote.htm

description: Endnote of the JAOC journal.<br>
DOI: 10.6084/m9.figshare.18515048
title: MD Showgat Jahan-Dataset.xlsx

description: Data set includes time series data from FY 1996-97 to FY 2019-20 for Bangladesh's total exports, readymade garments exports, and foreign direct investment
DOI: 10.6084/m9.figshare.18515048.v1
title: MD Showgat Jahan-Dataset.xlsx

description: Data set includes time series data from FY 1996-97 to FY 2019-20 for Bangladesh's total exports, readymade garments exports, and foreign direct investment
DOI: 10.3886/e100404v1-106900
title: Scientific Data Reuse Survey

description: This study explores the factors that influence the data reuse behaviors of scientists and identifies the generalized patterns that occur in data reuse across various disciplines. An online survey was distributed to the scientists through Qualtrics. The initial email invitation to the survey was sent to 15,703 scientists within academic institutions on October 5, 2015, with a reminder sent on November 10, 2015. The survey closed on November 30, 2015. 1,987 email messages (12.65%) were returned and a total of 13,716 participants (87.35%) received the email invitation to participate in the survey. This research used the National Science Foundation (NSF) STEM discipline codes (2014) for the respondents to indicate their specific academic disciplines based on their current research activities. Of these participants, 1,528 scientists from 94 specific disciplines (as categorized by NSF STEM discipline codes (2014)), completed the survey with less than 5% of missing values (response rate: 11.14%).<br><br>Reference:<br>NSF. (2014, February 9). Crosswalk of NSF Discipline Codes to CASPAR Academic Discipline Codes. Retrieved from https://ncsesdata.nsf.gov/nsf/srs/webcasp/data/gradstud.htm
description: Response Rates: 11.14%
description: Presence of Common Scales: See the attached "Measurement Items and References"
description: The study samples included researchers with PhD degrees, such as faculty members and post-doctoral researchers, who were involved in STEM (Science, Technology, Engineering, and Mathematics) disciplines at academic institutions in the U.S. The participants were identified from the Community of Science’s (CoS) Scholar Database (http://pivot.cos.com), which included a global research profile directory from only academic institutions, excluding any government or corporate researchers. A total of 15,703 scientists were initially identified for this study using random selection of scientists from the 56 STEM disciplines categorized by CoS -- about 280 scientists were selected from each of the 56 STEM disciplines for this study.
description: Scientists who belong to academic institutions in the United States. Smallest Geographic Unit: United States
description: web-based survey;
DOI: 10.3886/e100404v1-106901
title: Scientific Data Reuse Survey

description: This study explores the factors that influence the data reuse behaviors of scientists and identifies the generalized patterns that occur in data reuse across various disciplines. An online survey was distributed to the scientists through Qualtrics. The initial email invitation to the survey was sent to 15,703 scientists within academic institutions on October 5, 2015, with a reminder sent on November 10, 2015. The survey closed on November 30, 2015. 1,987 email messages (12.65%) were returned and a total of 13,716 participants (87.35%) received the email invitation to participate in the survey. This research used the National Science Foundation (NSF) STEM discipline codes (2014) for the respondents to indicate their specific academic disciplines based on their current research activities. Of these participants, 1,528 scientists from 94 specific disciplines (as categorized by NSF STEM discipline codes (2014)), completed the survey with less than 5% of missing values (response rate: 11.14%).<br><br>Reference:<br>NSF. (2014, February 9). Crosswalk of NSF Discipline Codes to CASPAR Academic Discipline Codes. Retrieved from https://ncsesdata.nsf.gov/nsf/srs/webcasp/data/gradstud.htm
description: Response Rates: 11.14%
description: Presence of Common Scales: See the attached "Measurement Items and References"
description: The study samples included researchers with PhD degrees, such as faculty members and post-doctoral researchers, who were involved in STEM (Science, Technology, Engineering, and Mathematics) disciplines at academic institutions in the U.S. The participants were identified from the Community of Science’s (CoS) Scholar Database (http://pivot.cos.com), which included a global research profile directory from only academic institutions, excluding any government or corporate researchers. A total of 15,703 scientists were initially identified for this study using random selection of scientists from the 56 STEM disciplines categorized by CoS -- about 280 scientists were selected from each of the 56 STEM disciplines for this study.
description: Scientists who belong to academic institutions in the United States. Smallest Geographic Unit: United States
description: web-based survey;
DOI: 10.5063/f1668bk5
title: Butterfly Assemblages at the Robert J. Bernard Field Station, Claremont, CA, USA, February 2015 - December 2020.

description: Raw data from a study assessing how landscape modifications and drought influence butterfly assemblages, consisting of butterfly observations made during monthly surveys from 2015 to 2020 at the Bernard Field Station (Claremont, CA) in five habitat types: (1) coastal sage scrub, (2) non-native grassland, (3) burned area, recovering vegetation after a fire in 2013, (4) lake, vegetation next to an artificial lake, and (5) edge habitat, which included both sage scrub and adjacent suburban areas. A manuscript detailing the results from this study titled "Monitoring Butterfly Assemblages in Southern California to Assess the Impact of Habitat and Climate Modifications" will be published in the Journal of Insect Conservation.
DOI: 10.5281/zenodo.5851729
title: The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse

description: The Reddit Politosphere is a large-scale resource of online political discourse covering more than 600 political discussion groups over a period of 12 years. Based on the Pushshift Reddit Dataset, it is to the best of our knowledge the largest and ideologically most comprehensive dataset of its type now available. One key feature of the Reddit Politosphere is that it consists of both text and network data. We also release annotated metadata for subreddits and users. Documentation and scripts for easy data access are provided in an associated repository on GitHub.
DOI: 10.5281/zenodo.5851728
title: The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse

description: The Reddit Politosphere is a large-scale resource of online political discourse covering more than 600 political discussion groups over a period of 12 years. Based on the Pushshift Reddit Dataset, it is to the best of our knowledge the largest and ideologically most comprehensive dataset of its type now available. One key feature of the Reddit Politosphere is that it consists of both text and network data. We also release annotated metadata for subreddits and users. Documentation and scripts for easy data access are provided in an associated repository on GitHub.
DOI: 10.6084/m9.figshare.18515057
title: Data.xls

description: The data in xls format about the variables used in our research titled "The Effect of Perceived Pay Equity on Counterproductive Work Behaviors: The Mediating Role of Organizational Cynicism".
DOI: 10.6084/m9.figshare.18515057.v1
title: Data.xls

description: The data in xls format about the variables used in our research titled "The Effect of Perceived Pay Equity on Counterproductive Work Behaviors: The Mediating Role of Organizational Cynicism".
DOI: 10.5281/zenodo.5855062
title: Output data for Vahmani et al 2021 AH part 5 of 5

description: Output data for Vahmani et al 2021 AH part 5 of 5
DOI: 10.5281/zenodo.5855061
title: Output data for Vahmani et al 2021 AH part 5 of 5

description: Output data for Vahmani et al 2021 AH part 5 of 5
DOI: 10.34740/kaggle/dsv/3050385
title: StAnD (Small problems)
DOI: 10.34740/kaggle/dsv/3050384
title: StAnD (Medium problems)
DOI: 10.6073/pasta/6045c086fed46b665edf02bcada29592
title: North Temperate Lakes LTER: Fish Length Frequency 1981 - current

description: This data set is a derived data set based on fish catch and length data. Data are collected annually to enable us to track the fish assemblages of eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, bog lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Mendota, Monona, Wingra and Fish). Sampling on Lakes Monona, Wingra, and Fish started in 1995; sampling on other lakes started in 1981. Sampling is done at six littoral zone sites per lake with seine, minnow or crayfish traps, and fyke nets; a boat-mounted electrofishing system samples three littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two sites per lake. In the bog lakes only fyke nets and minnow traps are deployed. Parameters measured include species-level identification and lengths for all fish caught, and scale samples and weight from a subset. Derived data sets include species richness, catch per unit effort, and size distribution by species, lake, and year. Dominant species vary from lake to lake. Perch, rockbass, and bluegill are common, with walleye, large and small mouth basses, northern pike and muskellunge as major piscivores. Cisco have been present in the pelagic waters of four lakes, and the exotic species, rainbow smelt, is present in two. The bog lakes contain mudminnows. Protocol used to generate data: The number of fish caught in each five mm length interval (0
DOI: 10.6084/m9.figshare.18480722
title: Images of wheat grains (used in "Wheat grain width: A clue for re-exploring visual indicators of grain weight")

description: This image archive includes 180 images taken from the harvested grains of monocultures and mixtures of four early- to middle ripening wheat cultivars grown under well- and deficit-irrigation conditions during two growing seasons. This archive was used in the preprint entitled:<br>"Wheat grain width: A clue for re-exploring visual indicators of grain weight"<br>(https://www.biorxiv.org/content/10.1101/2021.10.13.464205v2)
DOI: 10.6084/m9.figshare.18480722.v1
title: Images of wheat grains

description: This image archive includes 180 images taken from the harvested grains of monocultures and mixtures of four early- to middle ripening wheat cultivars grown under well- and deficit-irrigation conditions during two growing seasons. This archive was used in the preprint entitled:<br>"Wheat grain width: A clue for re-exploring visual indicators of grain weight"<br>(https://www.biorxiv.org/content/10.1101/2021.10.13.464205v2)
DOI: 10.6073/pasta/cacb7541dd238f92b208be02cfcdcfb9
title: Lake Wingra: Fish Lengths and Weights

description: Data are collected annually to enable us to track the fish assemblages of Lake Wingra. Sampling is done at six littoral zone sites per lake with a beach seine, minnow or crayfish traps, and fyke nets, while a boat-mounted electrofishing system samples four littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two nearshore sites per lake. Fish are identified to species. Lengths are measured for all fish caught, while weight and scale are collected from a subset. Derived data includes catch per unit effort and size distribution by species, lake, and year. Sampling Frequency: annually. Number of sites: 1. Note that 2020 data does not exist due to insufficient sampling.
DOI: 10.5281/zenodo.5856380
title: Data for Klaes et al. High-resolution stalagmite stratigraphy supports the Late Holocene tephrochronology of southernmost Patagonia. Comms. Earth Environ. (2022)..

description: This data set comprises the LA-ICP-MS, ICP-MS, EPMA and NanoSIMS measurements as well as SEM imagery presented in the research paper 'High-resolution stalagmite stratigraphy supports the Late Holocene tephrochronology of southernmost Patagonia' by Klaes et al. The Th-U data of the revised chronology of stalagmite MA1 with the calculated correction values according to Budsky et al. (2016) are also included. In addition, stable isotope data from Schimpf et al. (2011) with the revised version of the age-depth model are given. For detailed information on the analyses (e.g., instruments used), the user is kindly referred to the methods section of the article.
DOI: 10.5281/zenodo.5856379
title: Data for Klaes et al. High-resolution stalagmite stratigraphy supports the Late Holocene tephrochronology of southernmost Patagonia. Comms. Earth Environ. (2022)..

description: This data set comprises the LA-ICP-MS, ICP-MS, EPMA and NanoSIMS measurements as well as SEM imagery presented in the research paper 'High-resolution stalagmite stratigraphy supports the Late Holocene tephrochronology of southernmost Patagonia' by Klaes et al. The Th-U data of the revised chronology of stalagmite MA1 with the calculated correction values according to Budsky et al. (2016) are also included. In addition, stable isotope data from Schimpf et al. (2011) with the revised version of the age-depth model are given. For detailed information on the analyses (e.g., instruments used), the user is kindly referred to the methods section of the article.
DOI: 10.6073/pasta/bcaee14bbf266f76a278e6474353ee39
title: Lake Wingra: Fish Abundance

description: Data are collected annually to enable us to track the fish assemblages of Lake Wingra. Sampling is done at six littoral zone sites per lake with a beach seine, minnow or crayfish traps, and fyke nets, while a boat-mounted electrofishing system samples four littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two nearshore sites per lake. Fish are identified to species. Lengths are measured for all fish caught, while weight and scale are collected from a subset. Derived data include catch per unit effort and size distribution by species, lake, and year. Protocol used to generate data: Number caught for each species is summed over repetitions of a gear within a lake and over depth. Sampling Frequency: annually. Number of sites: 1. Note that 2020 data does not exist due to insufficient sampling.
DOI: 10.5281/zenodo.5856142
title: G-Protein Coupled Receptor-Ligand Dissociation Rates and Mechanisms from tauRAMD Simulations

description: Data and Python scripts used for generation and analysis of RAMD dissociation trajectories for several GPCR complexes (including example showing generation of the Protein-Ligand Interaction Fingerprints, IFP, for several representative RAMD trajectories), reported in the manuscript "G-Protein Coupled Receptor-Ligand Dissociation Rates and Mechanisms from tRAMD Simulations" "G-Protein Coupled Receptor-Ligand Dissociation Rates and Mechanisms from tauRAMD Simulations" by Daria B. Kokh, Rebecca C. Wade submitted to the Journal of Chemical Theory and Computation 1. <strong>README.txt </strong>- instruction for script usage 2. <strong>PDBs.zip</strong> - PDB structures of complexes in water box used in the analysis, ligand PDB and mol2 structures 3. <strong>tauRAMD_v2.py </strong>- Python sctipt for estimation relative residence times from Gromacs-RAMD output 4. <strong>IFP_preprocess_Gromacs.py</strong> and <strong>IFP_SL-B2AR-WB-EX.py - </strong>Python scripts for preprocessing of RAMD trajectories and generation of IFPs 5. <strong>Scripts.zip</strong> - additional python functions 6. <strong>IXO-CHL.zip, IXO-ALO-CHL.zip, ACh-CHL.zip, b2AR.zip</strong> - Protein-Ligand Interaction Fingerprints (PL IFPs) generated from RAMD trajectories for <em>mAChR M2 with iperoxo</em>, <em>mAChR M2 </em><em> with iperoxo and PAM, mAChR M2 with ACh, and </em>β<em>2AR with alprenolol </em><em>.</em> 7. <strong>Topology.zip</strong> - Gromacs topology, index.ndx, and coordinate gro files for all four systems 8. <strong>Example_b2AR-alprenolol.zip </strong>- a set of data for a test example showing how IFP can be generated from RAMD trajectories (including several representative trajectories) 9. <strong>Example_b2AR-alprenolol.tar </strong>- almost the same set of data as above (compressed in Windows) but for Linux users. The only difference between tar and zip archive: a short equilibration trajectory that is missing in the zip set but is included in the tar archive. 10.<strong> Gromacs-IFP-GPCR.ipynb</strong> - Jupyter Notebook for analysis of trajectories using generated IFP data 11. <strong>Auxi-Plots-GPCR.ipynb - </strong>Jupyter Notebook for generation additional plots from the paper 12. <strong>Waters.zip</strong> - number of water molecules in the binding pocket in dissociation trajectories of the <em> </em>β<em>2AR - alprenolol system</em> 13. <strong>GPCR.yml</strong> - JN environment file
DOI: 10.5281/zenodo.4765635
title: G-Protein Coupled Receptor-Ligand Dissociation Rates and Mechanisms from tauRAMD Simulations

description: Data and Python scripts used for generation and analysis of RAMD dissociation trajectories for several GPCR complexes (including example showing generation of the Protein-Ligand Interaction Fingerprints, IFP, for several representative RAMD trajectories), reported in the manuscript "G-Protein Coupled Receptor-Ligand Dissociation Rates and Mechanisms from tRAMD Simulations" "G-Protein Coupled Receptor-Ligand Dissociation Rates and Mechanisms from tauRAMD Simulations" by Daria B. Kokh, Rebecca C. Wade submitted to the Journal of Chemical Theory and Computation 1. <strong>README.txt </strong>- instruction for script usage 2. <strong>PDBs.zip</strong> - PDB structures of complexes in water box used in the analysis, ligand PDB and mol2 structures 3. <strong>tauRAMD_v2.py </strong>- Python sctipt for estimation relative residence times from Gromacs-RAMD output 4. <strong>IFP_preprocess_Gromacs.py</strong> and <strong>IFP_SL-B2AR-WB-EX.py - </strong>Python scripts for preprocessing of RAMD trajectories and generation of IFPs 5. <strong>Scripts.zip</strong> - additional python functions 6. <strong>IXO-CHL.zip, IXO-ALO-CHL.zip, ACh-CHL.zip, b2AR.zip</strong> - Protein-Ligand Interaction Fingerprints (PL IFPs) generated from RAMD trajectories for <em>mAChR M2 with iperoxo</em>, <em>mAChR M2 </em><em> with iperoxo and PAM, mAChR M2 with ACh, and </em>β<em>2AR with alprenolol </em><em>.</em> 7. <strong>Topology.zip</strong> - Gromacs topology, index.ndx, and coordinate gro files for all four systems 8. <strong>Example_b2AR-alprenolol.zip </strong>- a set of data for a test example showing how IFP can be generated from RAMD trajectories (including several representative trajectories) 9. <strong>Example_b2AR-alprenolol.tar </strong>- almost the same set of data as above (compressed in Windows) but for Linux users. The only difference between tar and zip archive: a short equilibration trajectory that is missing in the zip set but is included in the tar archive. 10.<strong> Gromacs-IFP-GPCR.ipynb</strong> - Jupyter Notebook for analysis of trajectories using generated IFP data 11. <strong>Auxi-Plots-GPCR.ipynb - </strong>Jupyter Notebook for generation additional plots from the paper 12. <strong>Waters.zip</strong> - number of water molecules in the binding pocket in dissociation trajectories of the <em> </em>β<em>2AR - alprenolol system</em> 13. <strong>GPCR.yml</strong> - JN environment file