cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10047106
title: SuperDARN data used in the study of  "Localized Magnetopause Erosion at Geosynchronous Orbit by Reconnection"

description: Convection velocity data (20140227.north.nc) is available in the netCDF file format.

Each SuperDARN data is provided in the fitacf file format.
DOI: 10.5281/zenodo.10047107
title: SuperDARN data used in the study of  "Localized Magnetopause Erosion at Geosynchronous Orbit by Reconnection"

description: SuperDARN data is available in the fitacf file format
DOI: 10.5281/zenodo.10450956
title: SuperDARN data used in the study of  "Localized Magnetopause Erosion at Geosynchronous Orbit by Reconnection"

description: Convection velocity data (20140227.north.nc) is available in the netCDF file format.

Each SuperDARN data is provided in the fitacf file format.
DOI: 10.3886/e162101v1-144502
title: Data and Code for Belief Distortions and Macroeconomic Fluctuations

description: This project contains the programs, data, and README file for "Belief Distortions and Macroeconomic Fluctuations" American Economic Review
DOI: 10.5281/zenodo.10450793
title: Temporal Seismic Velocity Changes Associated with the Mw 6.1, May 2008 Ölfus Doublet, South Iceland: a Joint Interpretation from dv/v and GPS. Cubuk-Sabuncu-etal-Dataset

description: The dataset for the article "Temporal Seismic Velocity Changes Associated with the Mw 6.1, May 2008 Ölfus Doublet, South Iceland: a Joint Interpretation from dv/v and GPS" by Cubuk-Sabuncu et al. is provided.

The weather dataset is now included in version 2.
DOI: 10.5281/zenodo.7915933
title: Temporal Seismic Velocity Changes Associated with the Mw 6.1, May 2008 Ölfus Doublet, South Iceland: a Joint Interpretation from dv/v and GPS. Cubuk-Sabuncu-etal-Dataset

description: The dataset for the article "Temporal Seismic Velocity Changes Associated with the Mw 6.1, May 2008 Ölfus Doublet, South Iceland: a Joint Interpretation from dv/v and GPS" by Cubuk-Sabuncu et al. is provided.

The weather dataset is now included in version 2.
DOI: 10.57992/nmrxiv.p2.s273
title: NMR_Bruker-FID
DOI: 10.57992/nmrxiv.p2.s273.d1595
title: NMR_Bruker-FID[17]
DOI: 10.57992/nmrxiv.p2.s273.d1596
title: NMR_Bruker-FID[13]
DOI: 10.57992/nmrxiv.p2.s273.d1597
title: NMR_Bruker-FID[12]
DOI: 10.57992/nmrxiv.p2.s273.d1598
title: NMR_Bruker-FID[14]
DOI: 10.57992/nmrxiv.p2.s273.d1599
title: NMR_Bruker-FID[15]
DOI: 10.57992/nmrxiv.p2.s273.d1601
title: NMR_Bruker-FID[11]
DOI: 10.6084/m9.figshare.24916821
title: chembl MoA to gene sets

description: Modeled after Drug2cell (https://github.com/Teichlab/drug2cell). Table of MoA to gene set
DOI: 10.6084/m9.figshare.24916821.v2
title: chembl MoA to gene sets

description: Modeled after Drug2cell (https://github.com/Teichlab/drug2cell). Table of MoA to gene set
DOI: 10.6084/m9.figshare.24916821.v1
title: chembl MoA to gene sets

description: Modeled after Drug2cell (https://github.com/Teichlab/drug2cell). Table of MoA to gene set
DOI: 10.5517/ccdc.csd.cc1nqfrk
title: CCDC 1540909: Experimental Crystal Structure Determination

description: Related Article: Afifa Mushtaq, Saqib Ali, Muhammad Iqbal, Muhammad Nawaz Tahir, Hammad Ismail|2017|J.Chem.Soc.Pak.|39|471|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24082617
title: Pollen-based Holocene vegetation reconstruction.xlsx

description: Beginning in the middle to late Holocene, anthropogenic land cover change has had a profound impact on both regional and continental environments. Hence, assessing temporal and spatial differences in the intensity of human activity in different regions and geomorphologic contexts has become a focus of current global change research. Here we use two representative pollen records from different geomorphologic units in North China (Lake Gonghai in the mountains, and Lake Daihai in a large basin) together with a novel methodology to quantitatively reconstruct Holocene land cover changes. The results indicate diverse vegetation succession patterns in different regions and geomorphologic contexts. In the Daihai basin, the vegetation cover changed relatively little, maintaining values of 45–50%, and only increased during the interval of 8–5.1 ka, when it attained a maximum of 67%. In the Gonghai area, the vegetation cover remained at a higher level at 70–80% for an extended interval, before decreasing substantially to 58% after 1.4 ka. We propose that changes in the intensity of human activities was a major cause of the observed regional disparities in vegetation succession. Comparison of the results with records of prehistoric human activity shows that, prior to 5.1 ka, land cover change (especially of the vegetation composition) in the Daihai basin evolved naturally, under the influence of climate. Then, during ~ 5.1–2.8 ka, a transitional stage occurred, driven by both climate change and human activities. Finally, from ~ 2.8 ka to the present, human activities dominated the pattern of vegetation change. In contrast, land cover change in the alpine Gonghai area was controlled by natural processes until 1.4–1.3 ka, when human activities exceeded the influence of natural variability and became the dominant factor controlling local vegetation development. In larger basin/plain areas, the favorable climatic conditions of the mid-Holocene promoted increased human activity; while later, population pressure, the increased demand for resources, and political factors may have triggered the diffusion of human populations from basins to the mountains or previously undeveloped areas, with resulting effects on their vegetation succession. The anthropogenic impacts have dominated the natural environment of mountainous areas in north-central China for at least the last 1,300 years.
DOI: 10.6084/m9.figshare.24925809
title: experiment_data.zip

description: This folder contains:<br><br>file: Data Analysis ANONYM.xlsx<br>folders:Student submissions to the version control systemArtemis filesData Analysis ANONYM.xlsxThis file contains on sheet 1:<br>The collected data extracted of the database e.g. Code, Feedback, User, Time and also some descriptive statistics, like how many times user x has asked the AI-Tutor and has submitted to the APAS and also his or her final score.<br><br>Sheet 2 contains:<br>The answers from the qualitative survey.<br><br>Sheet 3 contains:<br>An analysis of grouping the submissions and the current code when asking the AI-Tutor together. We analyzed whether the feedback was good and how the code changed after the feedback.<br>Student submissions to the version control system:These are multiple anonymized folders, each containing the code of the student submitted to the system.<br>This code has been enriched at the end with comments, whether the student had already asked the AI-Tutor and if yes the timestamps when he or she asked the AI-Tutor.<br><br><br>Artemis-FilesThese folder contains all files necessary to add to you public artemis project in order to enable the AI-Tutor functionality. We have chosen to not publish the full repository, because it would have been nearly impossible to anonymize it properly.
DOI: 10.6084/m9.figshare.24925809.v1
title: experiment_data.zip

description: This folder contains:<br><br>file: Data Analysis ANONYM.xlsx<br>folders:Student submissions to the version control systemArtemis filesData Analysis ANONYM.xlsxThis file contains on sheet 1:<br>The collected data extracted of the database e.g. Code, Feedback, User, Time and also some descriptive statistics, like how many times user x has asked the AI-Tutor and has submitted to the APAS and also his or her final score.<br><br>Sheet 2 contains:<br>The answers from the qualitative survey.<br><br>Sheet 3 contains:<br>An analysis of grouping the submissions and the current code when asking the AI-Tutor together. We analyzed whether the feedback was good and how the code changed after the feedback.<br>Student submissions to the version control system:These are multiple anonymized folders, each containing the code of the student submitted to the system.<br>This code has been enriched at the end with comments, whether the student had already asked the AI-Tutor and if yes the timestamps when he or she asked the AI-Tutor.<br><br><br>Artemis-FilesThese folder contains all files necessary to add to you public artemis project in order to enable the AI-Tutor functionality. We have chosen to not publish the full repository, because it would have been nearly impossible to anonymize it properly.
DOI: 10.6084/m9.figshare.24764220
title: High beta diversity of gaps contributes to plot-level tree diversity in a tropical forest

description: Canopy gaps in tropical forests have been hypothesised to play a major role in maintaining the diversity of forest tree communities. But empirical studies have found mixed support for this hypothesis: the average diversity of gap and non-gap (closed-canopy) sites is typically small and often statistically undetectable. One overlooked factor, however, is how small individual gap versus non-gap differences may accumulate across sites and potentially have a large effect on forest diversity at the plot scale. In this study, we investigated differences in the sapling richness, density, and composition for 124 treefall gaps and 200 non-gap sites in the 50 ha tropical forest plot at Barro Colorado Island (BCI), Panama.The analyses utilized canopy height data from the years 2003, 2004, and 2012, as well as tree census data from 2005, 2010, and 2015 in the BCI plot. All datasets are also available on Smithsonian repository at https://doi.org/10.5479/data.bci20140711. For additional information, please consult the Methods section in the paper.
DOI: 10.25345/c5tq5rr1j
title: MassIVE MSV000093748 - GNPS for ficus carica L of WE and WP 20240102
title: this MS data is about figs that collected in China
DOI: 10.5281/zenodo.10435616
title: Data from: Global Spore Sampling Project: A global, standardized dataset of airborne fungal spores

description: Novel methods for sampling and characterizing biodiversity hold great promise for re-evaluating patterns of life across the planet.  The sampling of airborne spores with a cyclone sampler, and the sequencing of their DNA have been suggested as an efficient and well-calibrated tool for surveying fungal diversity across various environments. Here we present data originating from the Global Spore Sampling Project, comprising 2,768 samples collected during two years at 47 locations across the world. Each sample represents fungal spores extracted from 24 m3 of air. We applied a conservative bioinformatics pipeline that filtered out sequences that did not show strong evidence of representing a fungal species. The pipeline yielded 27,954 species-level operational taxonomic units (OTUs). Each OTU is accompanied by a probabilistic taxonomic classification, validated through comparison with expert evaluations. We partitioned the variation in species distributions into spatial and seasonal components, showing a strong effect of the annual mean temperature and demonstrating strong ecological signal in the data.

The database is organized in three datasets in a csv format (columns separated by commas): (1) metadata providing the location, date, and time for each sample, along with sequencing depth and other essential information (metadata.csv); (2) species-level OTU-tables per sample describing the number of sequences assigned to each species (taxonomy.csv); and (3) taxonomic classification of each species-level OTU (otu.table.csv). The three datasets can be linked to each other using the unique sample codes and the unique identifiers for species-level OTUs. The same three datafiles are also provided in allData.RData which can be read into R as load("allData.RData").
description: The database is generated and the results of the manuscript are created with the following pipeline:



The files GSSP-data_v1.0.tar.gz and protaxFungi.tgz contain the bioinformatics pipeline that produces the files provided in the file bioinformatics_pipeline_outputs.zip.

The script S1 reads the output of the bioinformatics pipeline as well as the metadata (sample_data.RData and site_data.RData) and exports the data tables described in the manuscript as an RData-file (the file allData.RData) as well as csv-files (metadata.csv, taxonomy.csv, otu.table.csv).

The script S2 downloads GBIF data for comparison.

The script S3 makes species-specific maps that visually compare GBIF and GSSP data.

The script S4 performs the analytical comparison between GBIF and GSSP data.

The script S5 shows the results of the comparison from script S4.

The script S6 implements the HMSC-analysis that quantifies the main sources of variation in the data.
DOI: 10.34740/kaggle/dsv/7323821
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.10451065
title: Animal health discourse during ecological crisis  in the media. Lessons learnt from the flood in Thessaly from the One  Health perspective (dataset)

description: Original mentions (Brand24) and time series for selected features

Time series of RSV (Google trends)
DOI: 10.5281/zenodo.10451064
title: Animal health discourse during ecological crisis  in the media. Lessons learnt from the flood in Thessaly from the One  Health perspective (dataset)

description: Original mentions (Brand24) and time series for selected features

Time series of RSV (Google trends)
DOI: 10.6084/m9.figshare.20011166
title: Estimating ignition delay times of nitroglycerin: A chemical kinetic modeling study

description: Nitroglycerin (NG) is commonly used as an ingredient in propellant formulations. In this study, a first automatically generated detailed kinetic model of this energetic material has been developed. The construction of this model was made possible by performing computations with the open source software package Reaction Mechanism Generator (RMG). To enable a faster convergence, significant intermediate species of NG decomposition and optimized operating conditions were indicated in the RMG input parameters. Thermochemical data related to significant decomposition species were derived from ab initio calculations at the DFT B3LYP/6-31 G(d,p) level of theory. To validate the RMG-built mechanism, simulations were performed with CHEMKIN-Pro. Computed species profiles from simulations were compared with flash pyrolysis measurements from the literature. Sensitivity analyses were performed on species mole fraction, and the most significant elementary reactions were identified. Some rate constant parameters were adjusted within the reaction rate uncertainty to improve the predictability of the model. Ignition delay times were computed for NG, and consistent trends were obtained when compared against to calculations for RDX and TNT using referenced model available in the literature. Although experimental data are scarce, this automated kinetic generation approach, applied to energetic materials, is to be highly promising.
DOI: 10.18112/openneuro.ds004510.v1.0.0
title: An fMRI dataset for testing semantic language decoders
DOI: 10.25345/c5c24qx8s
title: MassIVE MSV000091348 - O-GlcNAc sites of purified human neurofilament light Boyce Lab Duke Univ
title: O-GlcNac mapping using EtHCD data dependent method on a Fusion Lumos from in-gel tryptic digests of purified protein.
DOI: 10.5281/zenodo.7659076
title: Early EASE-GRID Sea Ice Age, 1978-1983

description: Early spin-up period Arctic sea ice age data for 1978 through 1983. This product augments the NSIDC sea ice age product: "EASE-Grid Sea Ice Age, Version 4.1" (Tschudi et al., 2019a), which begins in January 1984. See the main product website for complete documentation. The age is estimated via Lagrangrian tracking based on the NSIDC sea ice motion product (Tschudi et al., 2019b), whose source data is primarily passive microwave brightness temperatures and drifting buoys. Age is estimated weekly as annual age categories. Values are: 1 for "first-year ice", ice that is 0-1 years old, and so on for older ice. The ice is "aged" once each year during the week of the annual sea ice minimum extent, generally sometime in September. In this product, the initialization of the field begins with the first available data in late-October 1978. For the existing ice at that time, age is initialized at the start of the product with age=1. The first week of the data, because it is after the minimum, the age of existing ice is augmented to age=2 and new ice is given age=1. So, the first field in 1978 has only two age categories of 1 (0-1 years old) or 2 (1-2 years old) and this continues through 1978. This means that the age of the ice that formed between the minimum in September and the beginning of the data in late-October 1978 is overestimated by one year. In subsequent years, the oldest ice category will continue to overestimate some of the ice pack until that initial ice either: (1) melts, (2) is transported out of the Arctic, or (3) reaches the maximum age in the product (16 years).<br> <br> Much of the the existing ice in 1978 may be older than 1-2 years old as ice may stay in the Arctic for 5 or more years, but the data availability and the Lagrangian methodology cannot give a specific until the product is fully "spun up". For each subsequent year, a one-year older age category is added in the week of each year's extent minimum. Note that due to the assumption made at the beginning of the product in 1978, the oldest ice category may overestimate the true age of some parcels by one year. Tschudi, M., W. N. Meier, J. S. Stewart, C. Fowler, and J. Maslanik. (2019a). EASE-Grid Sea Ice Age, Version 4 [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/UTAV7490FEPB. Date Accessed 02-20-2023. Tschudi, M., W. N. Meier, J. S. Stewart, C. Fowler, and J. Maslanik. (2019b). Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors, Version 4 [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/INAWUWO7QH7B.
description: This dataset was produced with support from the NASA Cryospheric Sciences Program, Grant #80NSSC21K0763.
description: {"references": ["Tschudi et al. (2020). An enhancement to sea ice motion and age products at the National Snow and Ice Data Center, doi:10.5194/tc-14-1519-2020."]}
DOI: 10.6084/m9.figshare.22144598
title: SupplementalFileV1.xlsx

description: Data file on the patients presenting with hypertensive disorders in pregnancy at nepean Hospital
DOI: 10.6084/m9.figshare.22144598.v1
title: SupplementalFileV1.xlsx

description: Data file on the patients presenting with hypertensive disorders in pregnancy at nepean Hospital
DOI: 10.6084/m9.figshare.20514693
title: Dicom data, MRI Alpine dingo and domestic dog brain

description: Data associated with manuscript: <strong>The Australasian dingo archetype: De novo chromosome-length genome assembly, DNA methylome, and cranial morphology</strong> <br> Raw Dicom data, Alpine Dingo brain (zip) and domestic dog brain (zip). Brains were scanned using high-resolution magnetic resonance imaging (MRI). A Bruker Biospec 94/20 9.4T high field pre-clinical MRI system located at the Biological Resources imaging Laboratory University of New South Wales (UNSW) was used to acquire MRI data of a fixed dingo and domestic dog brain. The system was equipped with microimaging gradients with a maximum gradient strength of 660mT/m and a 72mm Quadrature volume coil. Images were acquired in transverse and coronal orientation using optimized 2D and 3D Fast Spin Echo (FSE) and Gradient Echo (MGE) methods. Image resolution was 200x200x500 and 300x300 microns isotropic for type 3D and 2D pulse sequences, respectively.
DOI: 10.34740/kaggle/dsv/5045402
title: German License Plate Characters
DOI: 10.13011/m3-j1tt-m698
title: Alumina
DOI: 10.13011/m3-0yrv-3d33
title: Stainless Steel
DOI: 10.6084/m9.figshare.21830899
title: Novel benzimidazolium salts and their silver(I)-<i>N</i>-heterocyclic carbene complexes: synthesis, characterization and their biological properties

description: This study was conducted to synthesize and characterize 1,3-dialkyl-5,6-dimethyl-benzimidazolium salts and their silver complexes. Four novel silver(I)-<i>N</i>-heterocyclic carbene complexes were synthesized and characterized by mass analyses, FT-IR and NMR spectroscopy. The biological capacity of the synthesized compounds was evaluated <i>in vitro</i> for their antimicrobial and antitumor activities. The minimum inhibitory concentration (MIC) of the 1,3-dialkyl-5,6-dimethyl-benzimidazolium salts and their complexes was determined for <i>E. coli</i>, <i>P. aeruginosa</i>, <i>S. aureus</i>, <i>C. glabrata</i> and <i>C. albicans in vitro</i> through BMD (Broth Microdilution). The results indicated that silver(I)-NHC complexes exhibit antimicrobial activity. In particular, complex <b>3c</b> presented a significant broad-spectrum antimicrobial activity. The anticancer properties of the synthesized compounds were evaluated against MCF-7, HCT116, SH-SY5Y and BEAS-2B cell lines. Anticancer activity measurements were carried out according to the Alamar Blue assay. Efficacy was established by comparison of the salts and silver compounds with <i>cisplatin</i>.
DOI: 10.6084/m9.figshare.21830899.v1
title: Novel benzimidazolium salts and their silver(I)-<i>N</i>-heterocyclic carbene complexes: synthesis, characterization and their biological properties

description: This study was conducted to synthesize and characterize 1,3-dialkyl-5,6-dimethyl-benzimidazolium salts and their silver complexes. Four novel silver(I)-<i>N</i>-heterocyclic carbene complexes were synthesized and characterized by mass analyses, FT-IR and NMR spectroscopy. The biological capacity of the synthesized compounds was evaluated <i>in vitro</i> for their antimicrobial and antitumor activities. The minimum inhibitory concentration (MIC) of the 1,3-dialkyl-5,6-dimethyl-benzimidazolium salts and their complexes was determined for <i>E. coli</i>, <i>P. aeruginosa</i>, <i>S. aureus</i>, <i>C. glabrata</i> and <i>C. albicans in vitro</i> through BMD (Broth Microdilution). The results indicated that silver(I)-NHC complexes exhibit antimicrobial activity. In particular, complex <b>3c</b> presented a significant broad-spectrum antimicrobial activity. The anticancer properties of the synthesized compounds were evaluated against MCF-7, HCT116, SH-SY5Y and BEAS-2B cell lines. Anticancer activity measurements were carried out according to the Alamar Blue assay. Efficacy was established by comparison of the salts and silver compounds with <i>cisplatin</i>.