cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc255c4w
title: CCDC 2001147: Experimental Crystal Structure Determination

description: Related Article: Fabio Mazzotta, Georg Zitzer, Bernd Speiser, Doris Kunz|2020|Chem.-Eur.J.|26|16291|doi:10.1002/chem.202002801
DOI: 10.5517/ccdc.csd.cc255c5x
title: CCDC 2001148: Experimental Crystal Structure Determination

description: Related Article: Fabio Mazzotta, Georg Zitzer, Bernd Speiser, Doris Kunz|2020|Chem.-Eur.J.|26|16291|doi:10.1002/chem.202002801
DOI: 10.5517/ccdc.csd.cc255c6y
title: CCDC 2001149: Experimental Crystal Structure Determination

description: Related Article: Fabio Mazzotta, Georg Zitzer, Bernd Speiser, Doris Kunz|2020|Chem.-Eur.J.|26|16291|doi:10.1002/chem.202002801
DOI: 10.17632/kvjy3kxn7g.1
title: Data for: An eogenetic karst in lacustrine carbonates and its influence on reservoir development: A case study of the Eocene Dongying Depression, Bohai Bay Basin, East China

description: Relationship between the lithofacies and physical properties.
DOI: 10.21258/1568819
title: Inventaire forestier national suisse - Tableau no 896961
DOI: 10.21258/1557004
title: Inventaire forestier national suisse - Tableau no 897556
DOI: 10.21258/1568045
title: Inventaire forestier national suisse - Tableau no 902056
DOI: 10.6084/m9.figshare.13377203
title: JGR Spectroscopy1

description: Stroke 2<br>
DOI: 10.6084/m9.figshare.13377203.v1
title: JGR Spectroscopy1

description: Stroke 2<br>
DOI: 10.6084/m9.figshare.13377200
title: JGR Spectroscopy2

description: Stroke 1 spectroscopic images <br>
DOI: 10.21258/1541224
title: Inventaire forestier national suisse - Tableau no 896967
DOI: 10.21258/1544104
title: Inventaire forestier national suisse - Tableau no 891822
DOI: 10.21258/1551390
title: Inventaire forestier national suisse - Tableau no 893004
DOI: 10.21258/1615803
title: Inventario forestale nazionale svizzero - Tabella n. 898759
DOI: 10.6084/m9.figshare.13377218
title: Spectroscopy images

description: Stroke 1 and 2 <br>
DOI: 10.21258/1534203
title: Inventaire forestier national suisse - Tableau no 902045
DOI: 10.21258/1533287
title: Inventaire forestier national suisse - Tableau no 899270
DOI: 10.25810/c862-0e81.32
title: US Television Coverage of Climate Change or Global Warming, 2000-2020 - November 2020

description: The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.21258/1535692
title: Inventaire forestier national suisse - Tableau no 892030
DOI: 10.21258/1612008
title: Inventario forestale nazionale svizzero - Tabella n. 892066
DOI: 10.7910/dvn/y9hbd0
title: Replication Data for: Patrons and Personnel: The foreign determinants of military recruitment policies

description: This file contains replication data for the article "Patrons and Personnel: The foreign determinants of military recruitment policies," including the Instances of Military Design (IMD) dataset and codebook
DOI: 10.21258/1616269
title: Inventario forestale nazionale svizzero - Tabella n. 899009
DOI: 10.21258/1539663
title: Inventaire forestier national suisse - Tableau no 891814
DOI: 10.21258/1538426
title: Inventaire forestier national suisse - Tableau no 898239
DOI: 10.21258/1536135
title: Inventaire forestier national suisse - Tableau no 897792
DOI: 10.21258/1569453
title: Inventaire forestier national suisse - Tableau no 897944
DOI: 10.21258/1542113
title: Inventaire forestier national suisse - Tableau no 898581
DOI: 10.21258/1593018
title: Inventario forestale nazionale svizzero - Tabella n. 892053
DOI: 10.21258/1587405
title: Inventario forestale nazionale svizzero - Tabella n. 897904
DOI: 10.21258/1529893
title: Inventaire forestier national suisse - Tableau no 898712
DOI: 10.21258/1586417
title: Inventario forestale nazionale svizzero - Tabella n. 891933
DOI: 10.21258/1571555
title: Inventaire forestier national suisse - Tableau no 902200
DOI: 10.21258/1581160
title: Inventario forestale nazionale svizzero - Tabella n. 902170
DOI: 10.21258/1617567
title: Inventario forestale nazionale svizzero - Tabella n. 897380
DOI: 10.6084/m9.figshare.11347676
title: RDF datasets for testing keyword search algorithms

description: This repository contains five RDF datasets used to test keyword search algorithms: 1) DBpedia, 2) IMDb, and 3) Mondial, 4) LUBM and 5) BSBM.
DOI: 10.21258/1595802
title: Inventario forestale nazionale svizzero - Tabella n. 897111
DOI: 10.6084/m9.figshare.11347676.v2
title: RDF datasets for testing keyword search algorithms

description: This repository contains three RDF datasets used to test keyword search algorithms: 1) DBpedia, 2) IMDb, and 3) Mondial.<br>The DBpedia was created from the original version available at http://downloads.dbpedia.org/2016-10/. The IMDb and Mondial datasets are triplifications of the datasets originally created by Coffman, J.; and Weaver, A.C. (2012) and available at https://joel-coffman.github.io/resources.html.<br>The datasets contain, besides the original data, preprocessed data used by keyword search algorithms.
DOI: 10.21258/1584973
title: Inventario forestale nazionale svizzero - Tabella n. 898190
DOI: 10.21258/1560558
title: Inventaire forestier national suisse - Tableau no 897350
DOI: 10.21258/1598243
title: Inventario forestale nazionale svizzero - Tabella n. 897923
DOI: 10.21258/1585876
title: Inventario forestale nazionale svizzero - Tabella n. 897251
DOI: 10.21258/1540595
title: Inventaire forestier national suisse - Tableau no 898798
DOI: 10.5281/zenodo.4321797
title: Data and Code for "Limitation by a shared mutualist promotes coexistence of multiple competing partners"

description: Code for the ecological model (.R file) and data (.xlsx file) presented in Hammarlund et al. "Limitation by a shared mutualist promotes coexistence of multiple competing partners."
DOI: 10.5281/zenodo.4095587
title: Data and Code for "Limitation by a shared mutualist promotes coexistence of multiple competing partners"

description: Code for the ecological model (.R file) and data (.xlsx file) presented in Hammarlund et al. "Limitation by a shared mutualist promotes coexistence of multiple competing partners."
DOI: 10.21258/1585189
title: Inventario forestale nazionale svizzero - Tabella n. 902034
DOI: 10.21258/1536569
title: Inventaire forestier national suisse - Tableau no 897668
DOI: 10.21258/1540906
title: Inventaire forestier national suisse - Tableau no 897662
DOI: 10.21258/1561311
title: Inventaire forestier national suisse - Tableau no 892054
DOI: 10.21258/1567536
title: Inventaire forestier national suisse - Tableau no 899242
DOI: 10.21258/1569650
title: Inventaire forestier national suisse - Tableau no 892933
DOI: 10.21258/1566948
title: Inventaire forestier national suisse - Tableau no 899489
DOI: 10.21258/1555978
title: Inventaire forestier national suisse - Tableau no 902287
DOI: 10.21258/1584873
title: Inventario forestale nazionale svizzero - Tabella n. 899104
DOI: 10.21258/1534949
title: Inventaire forestier national suisse - Tableau no 899141
DOI: 10.21258/1541317
title: Inventaire forestier national suisse - Tableau no 899121
DOI: 10.21258/1609767
title: Inventario forestale nazionale svizzero - Tabella n. 897275
DOI: 10.21258/1587204
title: Inventario forestale nazionale svizzero - Tabella n. 898927
DOI: 10.5281/zenodo.4315743
title: 3D Multi-fluid MHD Simulation of the Early Time Behavior of an Artificial Plasma Cloud in the Bottom Side Ionosphere

description: This repository contains the necessary files for reproducing each of the figures in Ober et. al (2021) - currently a manuscript. Each file is named after the associated figure number and stored in the HDF5 format - with maximum compression. In general all chemical species physical variables are stored with four indexed dimensions: (species, z-axis, y-axis, x-axis). The details for chemical species are based in corresponding index values with string array ‘species’:<br> 0 -&gt; Ba 1 -&gt; O 2 -&gt; O+ 3 -&gt; Ba+ 4 -&gt; e- Axis values are in units of meters (m) from spatial origin X-axis (1, 300) Y-axis (1, 300) Z-axis (1, 888) Chemical species number densities in units of meters cubed (m^3) number_density ( 5, 888, 300, 300 ) Chemical species Temperature in units of Kelvin (K) temperature ( 5, 888, 300, 300 ) Chemical species velocity component values - meters per second (m/s) velocity_x ( 5, 888, 300, 300 ) velocity_y ( 5, 888, 300, 300 ) velocity_z ( 5, 888, 300, 300 ) Magnetic field in units of Teslas (T) magnetic_x ( 1, 888, 300, 300 ) magnetic_y ( 1, 888, 300, 300 ) magnetic_z ( 1, 888, 300, 300 ) NOTE: To help meet the data set limit, magnetic field variables are excluded from file “_figure-1.h5”. For "__figure-7b.h5" and "__figure-7c.h5" only magnetic field components are included.
DOI: 10.21258/1617952
title: Inventario forestale nazionale svizzero - Tabella n. 899243
DOI: 10.5281/zenodo.4315742
title: 3D Multi-fluid MHD Simulation of the Early Time Behavior of an Artificial Plasma Cloud in the Bottom Side Ionosphere

description: This repository contains the necessary files for reproducing each of the figures in Ober et. al (2021) - currently a manuscript. Each file is named after the associated figure number and stored in the HDF5 format - with maximum compression. In general all chemical species physical variables are stored with four indexed dimensions: (species, z-axis, y-axis, x-axis). The details for chemical species are based in corresponding index values with string array ‘species’:<br> 0 -&gt; Ba 1 -&gt; O 2 -&gt; O+ 3 -&gt; Ba+ 4 -&gt; e- Axis values are in units of meters (m) from spatial origin X-axis (1, 300) Y-axis (1, 300) Z-axis (1, 888) Chemical species number densities in units of meters cubed (m^3) number_density ( 5, 888, 300, 300 ) Chemical species Temperature in units of Kelvin (K) temperature ( 5, 888, 300, 300 ) Chemical species velocity component values - meters per second (m/s) velocity_x ( 5, 888, 300, 300 ) velocity_y ( 5, 888, 300, 300 ) velocity_z ( 5, 888, 300, 300 ) Magnetic field in units of Teslas (T) magnetic_x ( 1, 888, 300, 300 ) magnetic_y ( 1, 888, 300, 300 ) magnetic_z ( 1, 888, 300, 300 ) NOTE: To help meet the data set limit, magnetic field variables are excluded from file “_figure-1.h5”. For "__figure-7b.h5" and "__figure-7c.h5" only magnetic field components are included.
DOI: 10.21258/1546127
title: Inventaire forestier national suisse - Tableau no 891829
DOI: 10.21258/1592505
title: Inventario forestale nazionale svizzero - Tabella n. 898474
DOI: 10.5281/zenodo.4321814
title: Participant Faces from a Repeated Prisoner's Dilemma - Data Mapping Key

description: MappingFile.csv<strong> </strong>is a restricted file linking the participant data in the open-access Fields.csv and Media.csv files that we have uploaded to the "Participant Faces from a Repeated Prisoner’s Dilemma - Dataset". Please contact the authors for access to this key if you plan to work at the intersection of these data or replicate published work based on these data.
DOI: 10.21258/1578946
title: Inventario forestale nazionale svizzero - Tabella n. 896937
DOI: 10.21258/1578165
title: Inventario forestale nazionale svizzero - Tabella n. 897883
DOI: 10.5517/ccdc.csd.cc23t3z1
title: CCDC 1960563: Experimental Crystal Structure Determination

description: Related Article: Bo Su|2019|CSD Communication|||
description: Related Article: Bo Su, Yawei Li, Zhen Hua Li, Jun-Li Hou, Huadong Wang|2020|Organometallics|39|4159|doi:10.1021/acs.organomet.0c00099
DOI: 10.5517/ccdc.csd.cc23t403
title: CCDC 1960564: Experimental Crystal Structure Determination

description: Related Article: Bo Su|2019|CSD Communication|||
description: Related Article: Bo Su, Yawei Li, Zhen Hua Li, Jun-Li Hou, Huadong Wang|2020|Organometallics|39|4159|doi:10.1021/acs.organomet.0c00099
DOI: 10.5517/ccdc.csd.cc23t414
title: CCDC 1960565: Experimental Crystal Structure Determination

description: Related Article: Bo Su|2019|CSD Communication|||
description: Related Article: Bo Su, Yawei Li, Zhen Hua Li, Jun-Li Hou, Huadong Wang|2020|Organometallics|39|4159|doi:10.1021/acs.organomet.0c00099
DOI: 10.21258/1614790
title: Inventario forestale nazionale svizzero - Tabella n. 891801
DOI: 10.21258/1544771
title: Inventaire forestier national suisse - Tableau no 899436
DOI: 10.21258/1601994
title: Inventario forestale nazionale svizzero - Tabella n. 897536
DOI: 10.21258/1553040
title: Inventaire forestier national suisse - Tableau no 891986
DOI: 10.21258/1617982
title: Inventario forestale nazionale svizzero - Tabella n. 893425
DOI: 10.21258/1575393
title: Inventaire forestier national suisse - Tableau no 898805
DOI: 10.7931/a14r-sa52
title: NZFlora Ford & Champion 2020 Alismataceae
DOI: 10.21258/1600555
title: Inventario forestale nazionale svizzero - Tabella n. 899251
DOI: 10.15784/601402
title: 2017 GPR Observations of the Whillans and Mercer Ice Streams and Modeling Results

description: The dataset includes GPS coordinates for crevasse/fracture locations picked from 350MHz and 400Mhz frequency GPR dataset in the Whillans/Mercer Shear Margin along the SALSA traverse route with associated kinematic outputs for each feature (shear strain rate, vorticity, dilatation). GPS coordinates are in the Antarctic Polar Stereographic projection (EPSG:3031). The dataset also includes initialization and output files of a numerical ice flow simulation of the region . The Ice Sheet System Model (ISSM) model was used to solve a 100 year transient stress balance solution of the region with ~10 kPA/yr friction increase downstream of the shear margin between the Whillans and Mercer ice streams.
DOI: 10.7931/69qz-5y84
title: NZFlora Heenan 2019 Cardamine
DOI: 10.21258/1616334
title: Inventario forestale nazionale svizzero - Tabella n. 898557
DOI: 10.7931/5zzx-2719
title: NZFlora Fife 2020 Leucobryaceae
DOI: 10.21258/1622824
title: Inventario forestale nazionale svizzero - Tabella n. 892061
DOI: 10.21258/1548005
title: Inventaire forestier national suisse - Tableau no 898337
DOI: 10.21258/1545665
title: Inventaire forestier national suisse - Tableau no 891823
DOI: 10.21258/1588186
title: Inventario forestale nazionale svizzero - Tabella n. 899534
DOI: 10.21258/1551980
title: Inventaire forestier national suisse - Tableau no 902043
DOI: 10.21258/1540762
title: Inventaire forestier national suisse - Tableau no 902252
DOI: 10.25345/c5hv15
title: MassIVE MSV000086596 - MudPIT analysis of proteins extracted from mouse KH2ES cell nuclei and enriched by binding to immobilized DNA fragments
title: Sample Preparation: To identify proteins that are recruited by Hoxb1 to two newly identified DNA motifs, namely Motif_2 and LONG2x, nuclear extracts from 24hrs Retinoic acid- and Doxycycline-induced KH2 cell line with inducible Hoxb1 were added to DNA fragments immobilized on magnetic beads. Five experimental conditions were used: motif_2 (15bp) DNA, long2X (45bp) DNA, Hoxb1-ARE DNA as positive control, and 2 negative controls, random DNA and beads-only. In all cases, proteins were incubated at 30C for 30min to allow binding, followed by 2 sequential washes with buffer containing 0.1mg/ml BSA. Proteins were eluted by 2% SDS, 50mM Tris-HCl pH8.8 at 70C for 10 min, then precipitated by 20% TCA. MudPIT Analysis TCA-precipitated proteins were urea-denatured, reduced, alkylated and digested with endoproteinase Lys-C (Roche) followed by modified trypsin (Promega). Peptide mixtures were loaded onto 250 um fused silica microcapillary columns packed with strong cation exchange resin (Luna, Phenomenex) and 5-um C18 reverse phase (Aqua, Phenomenex), and then connected to a 100 um fused silica microcapillary column packed with 5-um C18 reverse phase (Aqua, Phenomenex). Loaded microcapillary columns were placed in-line with a Quaternary Agilent 1100 series HPLC pump and a LTQ linear ion trap mass spectrometer equipped with a nano-LC electrospray ionization source (ThermoScientific, San Jose, CA). Fully automated 10-step MudPIT runs were carried out on the electrosprayed peptides. Tandem mass (MS/MS) spectra were interpreted using ProluCID (v. 1.3.3) against a database consisting of 61441 non-redundant M. musculus proteins (NCBI, 2020-11-03 release), 426 usual contaminants (human keratins, IgGs, and proteolytic enzymes). To estimate false discovery rates (FDR)s, the amino acid sequence of each non-redundant protein entry was randomized, resulting in a total search space of 123728 non-redundant sequences. All cysteines were considered as fully carboxamidomethylated (+57 Da statically added), while methionine oxidation was searched as a differential modification. DTASelect (v. 1.9) and swallow, an in-house developed software, were used to filter ProLuCID search results at given FDRs at the spectrum, peptide, and protein levels. Here all controlled FDRs were less than 5%. All 16 data sets were contrasted against their merged data set, respectively, using Contrast v 1.9 and in house developed sandmartin v0.0.1. Our in-house developed software, NSAF7 v0.0.1, was used to generate spectral count-based label free quantitation results.
DOI: 10.21258/1599876
title: Inventario forestale nazionale svizzero - Tabella n. 899551
DOI: 10.21258/1602773
title: Inventario forestale nazionale svizzero - Tabella n. 896919
DOI: 10.21258/1529824
title: Inventaire forestier national suisse - Tableau no 902097
DOI: 10.6084/m9.figshare.13370504.v2
title: Speedtest Open Data - Australia 2020-04-01 extract

description: This is an Australian extract of Speedtest Open data available at Amazon WS.<br>A world speedtest open data was dowloaded (&gt;400Mb, 7M lines of data). An extract of Australia's location (lat, long) revealed 88,000 lines of data (attached as csv).<br>A Jupyter notebook of extract process is attached.<br>Data Shows:- 3.1M speedtests- 762,000 devices- 88,000 grid locations (600m * 600m), summarised as a point- average speed 33.7Mbps (down), 12.4M (up)- Max speed 724Mbps- data is for 600m * 600m grids, showing average speed up/down, number of tests, and number of users (IP). Added centroid, and now lat/long.<br>See tweet of image of centroids also attached.
DOI: 10.21258/1567325
title: Inventaire forestier national suisse - Tableau no 897154
DOI: 10.21258/1574688
title: Inventaire forestier national suisse - Tableau no 902123
DOI: 10.21258/1548292
title: Inventaire forestier national suisse - Tableau no 891773
DOI: 10.21258/1565821
title: Inventaire forestier national suisse - Tableau no 891765
DOI: 10.21258/1594146
title: Inventario forestale nazionale svizzero - Tabella n. 897083
DOI: 10.21258/1620177
title: Inventario forestale nazionale svizzero - Tabella n. 891884
DOI: 10.25919/tpa2-de45
title: Parkes observations for project P1067 semester 2020APRS_20

description: The Parkes Ultra-wide-bandwidth receiver enables, for the first time with the Parkes telescope, a commensal high time and high frequency resolution survey. We will observe Baade's window in which we are guaranteed detections of pulsars and spectral lines. Our science drivers are diverse and range from understanding scattering, to detecting new pulsars, to searching for galaxies in the zone of avoidance, probing the globular cluster at the centre of the window and studying OH circumstellar masers and CO-dark molecular gas. The observing strategy and processing software developed for this survey will be applicable to all future Parkes surveys with the wide-band receiver or cyrogenically-cooled phased array feed.
DOI: 10.25919/yrje-x422
title: Parkes observations for project P1067 semester 2020APRS_21

description: The Parkes Ultra-wide-bandwidth receiver enables, for the first time with the Parkes telescope, a commensal high time and high frequency resolution survey. We will observe Baade's window in which we are guaranteed detections of pulsars and spectral lines. Our science drivers are diverse and range from understanding scattering, to detecting new pulsars, to searching for galaxies in the zone of avoidance, probing the globular cluster at the centre of the window and studying OH circumstellar masers and CO-dark molecular gas. The observing strategy and processing software developed for this survey will be applicable to all future Parkes surveys with the wide-band receiver or cyrogenically-cooled phased array feed.
DOI: 10.17632/9z6t3g97h5.1
title: Data for: Tourism Flows in Large-scale Destination Systems

description: Datasets generated from Flickr.com data for Gephi. Gephi graph file
DOI: 10.6069/e6va-8017
title: Senegal, Mali, and Sierra Leone Oral Rehydration Therapy Geospatial Estimates 2000-2018

description: "Annual estimates were produced for Oral Rehydration Therapy Coverage for children under 5 years of age who had diarrhea at the second administrative-level unit in Senegal, Mali, and Sierra Leone between 2000–2018. These estimates were produced using a geo-positioned dataset created from 23 household surveys. Survey sources used include the Demographic and Health Survey (DHS) and UNICEF Multiple Indicator Cluster Survey (MICS) series, and other country‐specific surveys. 

This dataset includes the following:
- CSV files of aggregated Oral Rehydration Therapy coverage percent at the second administrative level
- Code files used to generate the estimates"
DOI: 10.21258/1542644
title: Inventaire forestier national suisse - Tableau no 891696
DOI: 10.21258/1532478
title: Inventaire forestier national suisse - Tableau no 897034
DOI: 10.21258/1572845
title: Inventaire forestier national suisse - Tableau no 897705
DOI: 10.25919/ezqk-3s44
title: Parkes observations for project P1066 semester 2020APRS_02

description: We propose 36 hrs of Parkes observations to continue our successful Deeper, Wider, Faster (DWF) program to detect fast transients and fast radio burst (FRB) counterparts and help resolve their nature. DWF coordinates over 60 observatories worldwide at all wavelengths, from radio to gamma-ray to detect and follow-up FRBs and other elusive fast (millisecond-to-hours duration) transients. Crucially, we coordinate simultaneous deep, fast-cadenced, wide-field observations at all wavelengths to observe the same field at the same time as Parkes, enabling multi-wavelength detection before, during, and after the radio detection. Little to no multi-wavelength observations to any significant depth have been done on these timescales, leaving this parameter space underexplored. DWF coordinates major facilities such as South Pole Telescope (mm/sub-mm), GROND (infrared), CTIO Dark Energy Camera (optical), Astrosat (UV/X-ray), HXMT (X-ray), HESS (gamma-ray), and Pierre Auger (high-energy). We perform realtime data processing and transient identification at all wavelengths that enables triggering our deep, rapid-response (within minutes) follow up programs for deep spectroscopy and imaging using the world's largest telescopes (e.g., Keck, VLT, Gemini, SALT, ATCA).
DOI: 10.21258/1598090
title: Inventario forestale nazionale svizzero - Tabella n. 891676
DOI: 10.21258/1569845
title: Inventaire forestier national suisse - Tableau no 891808
DOI: 10.21258/1542315
title: Inventaire forestier national suisse - Tableau no 897838
DOI: 10.21258/1544754
title: Inventaire forestier national suisse - Tableau no 898675
DOI: 10.21258/1597789
title: Inventario forestale nazionale svizzero - Tabella n. 898826
DOI: 10.21258/1581331
title: Inventario forestale nazionale svizzero - Tabella n. 898046
DOI: 10.21258/1564220
title: Inventaire forestier national suisse - Tableau no 899235
DOI: 10.5281/zenodo.4320201
title: Data from the parametric analysis of masonry panels with limit analysis

description: For each one of the simulations performed from the parametric analysis of masonry panels with limit analysis, this database contains a .txt, a .vtk and a .png file. In the .txt file the elapse time and the collapse multiplier of each simulation can be found. The .vtk file contains all the geometry and displacement values of every masonry panel. Finally, the .png file presents the collapse mechanism obtained.