cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/682b8d7a78aa814e96dba672cdabd34c
title: RIV06 Remote sensing in and around riparian zones at Konza Prairie

description: The goal of this project was the measure changes in woody vegetation cover over time, in riparian and non-riparian locations. The study was retrospective, using high resolution aerial imagery to identify areas dominated by grasslands, shrubs, trees, and woody plant that could not be differentiated as shrubs or trees (referred to as “unk” or “unknown”). These data help us understand rates of woody plant cover over time and how these changes might affect other populations (e.g., avifauna) and processes (e.g. hydrology). These data show and increase in woody plant cover across all three watersheds up until 2010, but with less woody plants expansion in the non-riparian zone of watershed and N1B. Through 2020, woody plant expansion continued in watersheds N1B and N4D. In N2B, tree cover decreased sharply in 2011 and remained low through 2020. This was expected due to the tree removal treatment. However, shrub cover increased rapidly over this same time frame, resulting in little net change in total woody cover (tree plus shrub cover). These results suggest that even an extreme intervention of repeated tree removal is not enough to return the riparian zone to a grassland state.
DOI: 10.13020/g5xc-nj81
title: Updated Code of GEOS-Chem Adjoint v35 for TROPOMI Methane 4D-Var Inversion

description: The archive contains updated GEOS-Chem adjoint v35 code for TROPOMI methane 4D-Var inversion.
description: The archive includes a frozen version of the GEOS-Chem adjoint model code used for methane 4D-Var inversions. Please see README file for a detailed description of the code.
DOI: 10.21947/1329730
title: Radar - TTU radar - Raw Data

description: This dataset coincides with a selected atmospheric case from the 200-m meteorological tower data.
DOI: 10.5066/p9tqjm2x
title: 40Ar/39Ar data from the Gidami gold deposit, Egypt

description: This data release includes 40Ar/39Ar data from the U.S. Geological Survey for samples from the Gidami gold deposit in the Eastern Desert of Egypt. Rock samples were collected by Basem Zoheir--Benha University/University of Kiel. Potassium-bearing mineral grains were separated from the bulk sample and analyzed by argon geochronology at the U.S. Geological Survey Bascom ARgon Dating (BARD) Laboratory in Reston, Virginia. The data constrain the timing of gold mineralization in the Gidami gold deposit.
DOI: 10.5281/zenodo.6451016
title: Result files (ALLDATA): "Joint structural annotation of small molecules using liquid chromatography retention order and tandem mass spectrometry data with LC-MS²Struct"

description: Result files associated with the publication: "<strong>Joint structural annotation of small molecules using liquid chromatography retention order and tandem mass spectrometry data</strong>" by Bach et al. The following files are included in the archive: Raw max-marginal predictions using LC-MS²Struct for all LC-MS² experiments of the ALLDATA setup Averaged max-marginals for the LC-MS²Struct over all SSVM models Top-k accuracies for the comparison methods (MS²+RT, ...) Ranks for the ground-truth structures predicted by Only MS² and LC-MS²Struct (molecule class analysis) Instructions: clone the repository containing the experimental scripts and analysis notebooks: https://github.com/aalto-ics-kepaco/lcms2struct_exp download the archive in this repository unpack the archive in the git-repository root directory follow the instructions given in the README.md of the git-repository to reproduce the figures, etc. Version history: <strong>Version 1</strong>: Experimental results for "Method comparison" and "Molecule classification analysis" where performed with <strong>2D fingerprints</strong> (preprint v1) <strong>Version 2</strong> <em>(this version)</em>: Experimental results for "Method comparison" and "Molecule classification analysis" where performed with <strong>3D fingerprints</strong>
DOI: 10.5281/zenodo.7219753
title: Dataset to: Deforestation for agriculture leads to soil warming and enhanced litter decomposition in subarctic soils

description: Deforestation for agriculture leads to soil warming and enhanced litter decomposition in subarctic soils<br> T. Peplau, C. Poeplau, E. Gregorich, J. Schroeder This repository contains a dataset of soil temperature, soil parameters, farm management and additional site informations. Soil_temperature_data_Yukon.zip: Temperature data from different farms across the Yukon.<br> Each .xlsx file contains data from one temperature logger that logged soil temperature every 2 hours. The individual sheets are named in the following scheme:<br> Farm_landuse_depth.xlsx<br> Farm contains two letters corresponding to the identifier in the soil data set<br> landuse contains either F ("Forest"), CM ("Cropland / Market Garden") or G ("Grassland")<br> Depth is either 10 cm or 50 cm teabags.csv contains raw data about the initial weight of the teabags buried, their location and their weight after two years in the soil tea_decomposition contains the mean decomposition (n=3) of the tabags from each plot and corresponding temperature statistics, based on the logger data Soil_I_IV.csv contains soil parameters from soil samples at 0-10 cm and 40-60 cm site_data_R.csv contains geographical information and soil data that has only been measured once per site
DOI: 10.6084/m9.figshare.19890313
title: Amphibian color paper data and analysis code

description: Amphibian color dataset and analyses code for R. AmphibianData.csv: Datafile MCCtree.nwk: the maximum clade credibility tree file. output.nex: 1,000 trimmed trees that we extracted from VertLife.com Analysis code.zip: analysis code in R format.
DOI: 10.6084/m9.figshare.19890313.v3
title: Amphibian color paper data and analysis code

description: Amphibian color dataset and analyses code for R. AmphiData.csv: Datafile MCCtree.nwk: the maximum clade credibility tree file. output.nex: 1,000 trimmed trees that we extracted from VertLife.com Analysis code.zip: analysis code in R format.
DOI: 10.6084/m9.figshare.22188970
title: Supplementary Material for: Acral Fibrochondromyxoid Tumor Presenting as Enlarging Nodule Involving the Distal Fingertip and Hyponychium

description: An acral fibrochondromyxoid tumor is a newly described type of benign soft tissue neoplasm that presents as a single nodular lesion on a finger or toe. There has only been one previous report of this tumor, a case series that described the initial pathologic and clinical findings; however, details on clinical history, physical examination and radiological findings, and outcome are unknown. In this report, we describe a case of a 39-year-old male who presented with a painful enlarging mass involving the distal right 3rd finger and hyponychium. Punch biopsy was performed and the lesion was identified as an acral fibrochondromyxoid tumor on microscopic examination. X-ray showed no bony involvement. The tumor was successfully excised with complete resolution of pain symptoms. We discuss the clinical features and immunohistochemistry findings of our case in the context of the current limited knowledge about this very rare tumor.
DOI: 10.17188/1190635
title: Materials Data on SbAsO5 by Materials Project

description: SbAsO5 crystallizes in the orthorhombic P2_12_12_1 space group. The structure is three-dimensional. Sb5+ is bonded to six O2- atoms to form SbO6 octahedra that share corners with two equivalent SbO6 octahedra and corners with four equivalent AsO4 tetrahedra. The corner-sharing octahedral tilt angles are 47°. There are a spread of Sb–O bond distances ranging from 1.95–2.04 Å. As5+ is bonded to four O2- atoms to form AsO4 tetrahedra that share corners with four equivalent SbO6 octahedra. The corner-sharing octahedra tilt angles range from 43–57°. There is two shorter (1.72 Å) and two longer (1.73 Å) As–O bond length. There are five inequivalent O2- sites. In the first O2- site, O2- is bonded in a bent 120 degrees geometry to one Sb5+ and one As5+ atom. In the second O2- site, O2- is bonded in a bent 120 degrees geometry to one Sb5+ and one As5+ atom. In the third O2- site, O2- is bonded in a distorted bent 120 degrees geometry to two equivalent Sb5+ atoms. In the fourth O2- site, O2- is bonded in a distorted bent 150 degrees geometry to one Sb5+ and one As5+ atom. In the fifth O2- site, O2- is bonded in a distorted bent 120 degrees geometry to one Sb5+ and one As5+ atom.
DOI: 10.21947/1329252
title: Tower - TTU (SWiFT) Tower, All levels - Raw Data

description: This dataset includes a diurnal cycle with a consistent Convective-Neutral-Stable overnight transition after a frontal passage.
DOI: 10.5281/zenodo.3760098
title: Models and Infrastructure used in "Deep Statistical Model Checking"

description: This repository contains the models and all other infrastructure (learning procedure, NNs, Jani generator, maps, modes & mcsta binaries) used in the FORTE 2020 paper "Deep Statistical Model Checking".
description: {"references": ["Gros, T.P., Hermanns, H., Hoffmann, J., Klauck, M., Steinmetz, M.: Deep Statistical Model Checking. In: Proceedings of the 40th International Conference on Formal Techniques for Distributed Objects, Components, and Systems (FORTE'20) (2020), available at https://doi.org/10.1007/978-3-030-50086-3_6."]}
DOI: 10.5281/zenodo.7063261
title: Methane data collected in the 36th CHINARE cruise during 2019-2020

description: Methane (CH<sub>4</sub>) is one of the important greenhouse gases. CH<sub>4</sub> dry mole fractions in the atmosphere have increased continuously since the onset of the industrial revolution, contributing to more than 20% of the anthropogenic radiative forcing in the lower atmosphere since 1750. In addition, the ice-covered parts of the Antarctic are now a reservoir of organic carbon, suggesting that the Antarctic ice sheet may be a neglected but essential component of the global CH<sub>4</sub> budget. Seawater samples for CH<sub>4</sub> analysis were collected onboard R/V “Xuelong 2” during the 36th Chinese Antarctic Research Expedition (CHINARE) to the Ross Sea from 3–6 January 2020. 1. Equipment: Name gas chromatography Model: Agilent 7890A Method: purge-and-trap Calibration: CH<sub>4</sub>:N<sub>2</sub> mixtures, China Institute of Metrology 2 Sampling and analysis The samples were collected with a rosette water sampler equipped with Niskin bottles. Briefly, seawater was transferred to biochemical-oxygen-demand bottles (one for each depth), which were stored in the dark at 4 °C with after adding 180 μL of saturated HgCl<sub>2</sub>. 3 Location Ross Sea.
DOI: 10.6073/pasta/213f54ba6ce198ee51f5931fe66faad1
title: KFH01 Konza prairie fire history

description: The Konza burn history data is downloadable by year. Watershed names and codes listed are the current watershed designations (2010). Please note that several watershed designations have changed over the history of Konza. This is inevitable due to changes in research objectives but is problematic for those wanting to discover the full burn history of a given area. In some cases watersheds have simply been renamed to reflect changes in experimental burn treatments (e.g. R20A was formerly 1A). In other cases watersheds have been subdivided or aggregated from smaller watersheds (eg. in 1994 3B3UA was added to 20A (currently R1A) to form a larger watershed). In a few cases watershed names have been moved to new areas (e.g. 1D was moved from its original location in 1978 after the acquisition of new property. The original 1D watershed is now part of WB and 20C). Investigators should consult the proper watershed map for a given year to see watershed designations at the time of burning.
DOI: 10.17608/k6.auckland.21096898.v1
title: Spatial surface describing the probability of forest loss in prehistoric New Zealand

description: This is a spatial surface (.asc raster layer) with the predicted mean probability of forest loss during New Zealand's prehistoric period. The method used to produce the surface is described in detail by Perry et al. (2012; Global Ecol Biogeog 21, 1029-1041). The layer is projected as NZTM 2000 at a 1-km resolution.
DOI: 10.5281/zenodo.6855958
title: Petrography data from the Oligocene-lower Langhian succession of the Arquata Scrivia area in the Tertiary Piedmont Basin (NW Italy)

description: This petrographic database is a compilation made to study the Oligocene-Langhian succession of the Arquata Scrivia area, consisting of different shallow to deep-water marine sedimentary units deposited in the eastern Tertiary Piedmont Basin (NW Italy). This database is unique for the studied succession, which was not priorly investigated for the petrographic content of its component units. Petrographic data supporting the samples are presented at first with their qualitative and quantitative analyses.
DOI: 10.5066/p97r4es3
title: LEAN-Corrected DEM for Suisun Marsh

description: Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for Suisun marsh using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (6912 points, collected across public and private land in 2018), Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (June 2018), a 1 m lidar DEM from September 2018, and a 1 m canopy surface model were used to generate models of predicted bias across the study domain. Due to the large differences in vegetation height and density between natural and diked wetlands, we calibrated a separate model for each cover type. The modeled predicted bias for each cover type was then subtracted from the original lidar DEM to generate a new DEM. Across all GPS points, mean initial lidar error was 22.5 cm (SD=17.5) and root-mean squared error (RMSE) was 28.5 cm. After correction with LEAN, mean error was 0 cm (SD=9.7) and RMSE was 9.7 cm, a 66 percent improvement in accuracy. Some ponds were partially flooded and had no lidar returns; to create a continuous coverage, we iteratively used the focal statistics tool with a 10 meter radius to expand the corrected elevation values into NoData areas until data gaps were covered. Large channels were masked out from the final DEM using the lidar returns and airborne imagery. References: Buffington, K.J., Dugger, B.D., Thorne, K.M. and Takekawa, J.Y., 2016. Statistical correction of lidar-derived digital elevation models with multispectral airborne imagery in tidal marshes. Remote Sensing of Environment, 186, pp.616-625.
DOI: 10.25919/xkgx-zy14
title: East Australian Current individual mooring gridded product - hourly and 10-20m depth gridded

description: This hourly- and depth-gridded product of currents, temperature and salinity (one file per mooring) is produced from individual instrument files collected during five 18-month deployments in the East Australian Current (EAC) off Brisbane, Australia. The data can be used for time series analysis of individual moorings in the EAC deployments. The "East Australian Current individual mooring gridded product - daily and 10m depth gridded" and "East Australian Current gridded (depth, distance and time) mooring product" are available at the links below.
DOI: 10.6084/m9.figshare.20496957.v1
title: Data from: Selective foraging behaviour of seabirds in small-scale slicks

description: Data from: Selective foraging behaviour of seabirds in small-scale slicks by Lieber et al (2022) contains the HMM input file (.csv) and R analysis code (.txt) and the metadata (.pdf). <br> All data was collected in the Narrows tidal channel, Strangford Lough, Northern Ireland, UK. The field survey data collection was performed using Uncrewed Aerial Vehicle (UAV) surveys to capture seabird (tern species) foraging over slick line manifestations in this tidal channel. UAV missions using the DJIMini2 were conducted on 02/08/2021 during flood tide and low wind speeds (2.1 ms-1). Two UAV hovers (h) were performed at a 120 m altitude with a vertically downward-facing camera and aligned with the mean direction of the flow. All missions were completed in accordance with local regulations and flown by the same qualified (UK Civil Aviation Authority) pilot. The UAV camera was calibrated in the laboratory using a standard checkerboard method. Automatic video analysis techniques were used to track terns foraging over evolving slicks. This resulted in a dataset comprising of a timestep (t), an associated x and y variable for each tern’s position at a given timestep, a calculation of speed, acceleration magnitude, and tortuosity. Further, slick positions were extracted for each instantaneous position along each tern track using three-dimensional interpolation in space and time. The slick parameter was matched to tern tracks where every track position had a binary variable (‘slick=1’ or ‘no slick=0’), along with an associated continuous variable ‘time-to-slick’ (in seconds, hereafter slick proximity), calculated from the timestep a tern was spatially over a slick until it next encountered a slick. All track positions were corrected for camera lens distortion and scaled according to the UAV’s altitude. Apart from the extracted binary slick variable (above), tortuosity was used in the modelling of the data set. For this, the instantaneous tortuosity along each track was calculated using an 11 element window (±5 frames, centred on each position), where the raw positions within this window were smoothed by fitting a cubic spline. This represents a low-pass filtering operation with a cut-off frequency at 2.73 Hz. The tortuosity was calculated as the total distance travelled (sum of the distances between the 11 points) divided by straight-line distance between the first and last position. For the modelling, the log of tortuosity (log(tortuosity) was computed and used as a variable in the hidden Markov model.
DOI: 10.17632/88g8kcwj9r.1
title: C4ISTAR technologies

description: The dataset contains the list of the technologies in the context of a defence related domain, C4ISTAR. C4ISTAR, in general indicated as “Command and Control” or “C2”, is an acronym used in Defence for Command, Control, Communication, Computer, Information/Intelligence, Surveillance, Target Acquisition, and Reconnaissance. The technologies are automatically mapped using a Text Mining technique, callled as Named Entity Recognition (NER). The approach to NER used in this article is twofold: a gazetteer based (or terminological-driven NER) approach and a rule-based approach. The text mining techniques are applied to a collection of the C4ISTAR documents, we collected English documents (166 documents) from diverse sources published from 2000 to 2020. The method applied allow us to map the C4ISTAR domain and to identify a list of 1090 technologies. The dataset published in this artiche contains the completed list of the technologies extracted in the C4ISTAR domain.
DOI: 10.17632/jvczk66p36.1
title: Evaluation of a water network’s energy potential in dynamic operation

description: Matlab data and results of water networks energy potential calculation.
The data are for the two subnetworks A and B.
They are separate in 4 folder (input dat, hydro-potential results, heat potentials results, cold potentials result)
DOI: 10.25318/3810002001-eng
title: Parks and green spaces

description: Percentage of households with parks and green spaces close to the home, and those that visited parks both close to home and farther away. The data is from the Households and the environment survey.
DOI: 10.4225/08/5756169e381cc
title: Australian land-use and sustainability data: 2013 to 2050

description: Using the Land-Use Trade-Offs (LUTO) model, this data collection was produced via a comprehensive, detailed, integrated, and quantitative scenario analysis of land-use and sustainability for Australia’s intensive-use agricultural land to 2050, under intersecting global change and domestic policies, and considering key uncertainties. We assessed land use competition between multiple land uses and assessed sustainability of economic returns and multiple ecosystem services at high spatial (1.1 km grid cell) and temporal (annual) resolution. Results available are for 648 scenarios covering combinations of four global outlooks, three general circulation climate models, three domestic land-use policies, three productivity growth rates, three land-use change adoption hurdle rates, and two capacity constraint settings. Outputs included for each scenario are: - annual land-use layers - summary data table - graphical dashboard summary - animation of potential land-use change, drivers, and impacts. This analysis was conducted in conjunction with CSIRO’s Australian National Outlook 2015 initiative to assess future potential land-use change and the impacts for the sustainability of ecosystem services. A full description of the methods and synthesis of the results can be found in the papers listed in the Related Information below and freely available via email from the author. The data is provided to support a national conversation on the future for Australian land systems, public decision-making and policy design, and further scientific research.
DOI: 10.5281/zenodo.4596345
title: ChroniclItaly 3.0. A deep-learning, contextually enriched digital heritage collection of Italian immigrant newspapers published in the USA, 1898-1936.

description: This open access collection includes the digitized front pages of 10 Italian language newspapers published in California, Connecticut, Pennsylvania, Vermont, and West Virginia. It totals 8,653 issues and contains 21,454,455 words. The titles are: <em>L’Italia</em>, <em>Cronaca sovversiva</em>, <em>La libera parola</em>, <em>The patriot</em>, <em>La ragione</em>, <em>La rassegna</em>, <em>La sentinella del West Virginia</em>, <em>L’Indipendente</em>, <em>La Sentinella</em>, and <em>and La Tribuna del Connecticut</em>. The material was collected from <em>Chronicling America</em>, an Internet-based, searchable database of U.S. newspapers published in the United States from 1789 to 1963 made available by the Library of Congress. The corpus features mainstream (<em>prominenti</em>), anarchic (<em>sovversivi</em>), and independent newspapers thus providing a very nuanced picture of the Italian immigrant community in the United States at the turn of the twentieth century. To promote transparency, the collection includes two versions of <em>ChroniclItaly 3.0</em>: unprocessed (as it was collected from <em>Chronicling America</em>) and processed (with pre-processing interventions). Users can also find the data-sets including all the outputs from all the enrichment steps and post-intervention: named entity recognition (NER), geo-coding, sentiment analysis, and network analysis in addition to the readme.txt file that helps users navigate the folders and the metadata file containing relevant information. The code used to perform all the interventions is available at this GitHub repository https://github.com/lorellav/DeXTER-DeepTextMiner. Finally, all the enrichment outputs can be explored in the interactive app <strong>DeXTER</strong> available at https://c2dh.shinyapps.io/dexter/.
DOI: 10.5281/zenodo.6981485
title: Datasets to quantify the impact of lianas on 3D tree structure and biomass

description: This dataset consists of terrestrial laser scanning (TLS) point clouds and their corresponding quantitative structure models (QSMs) of 182 trees. There are two point clouds for each tree, one containing only the wood points and the other containing the leaf points of the tree. The QSMs of the trees are in .mat format and the detailed readME file to read the QSMs can be found here: https://github.com/InverseTampere/TreeQSM.
DOI: 10.6084/m9.figshare.21555168.v1
title: data of Non-emergency Medical Transportation Practice in Shanghai

description: data of Non-emergency Medical Transportation Practice in Shanghai