cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/jtrliypguaypnd-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (2-[3,5-bis(4-pyridin-4-ylquinolin-2-yl)phenyl]-4-pyridin-4-ylquinoline)
title: InChI=1S/C48H30N6/c1-4-10-43-37(7-1)40(31-13-19-49-20-14-31)28-46(52-43)34-25-35(47-29-41(32-15-21-50-22-16-32)38-8-2-5-11-44(38)53-47)27-36(26-34)48-30-42(33-17-23-51-24-18-33)39-9-3-6-12-45(39)54-48/h1-30H

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, Chloroform-d [7.27 ppm], ppm) δ = 9.16 (s, 3H), 8.86 (d, J = 5.7 Hz, 6H), 8.36 (d, J = 8.4 Hz, 3H), 8.10 (s, 3H), 7.87–7.80 (m, 6H), 7.60–7.56 (m, 9H). Impurities: The spectrum contains water at 1.70 ppm and triethylamine at 1.25 and 2.93 ppm.
DOI: 10.14272/jtrliypguaypnd-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (2-[3,5-bis(4-pyridin-4-ylquinolin-2-yl)phenyl]-4-pyridin-4-ylquinoline)
title: InChI=1S/C48H30N6/c1-4-10-43-37(7-1)40(31-13-19-49-20-14-31)28-46(52-43)34-25-35(47-29-41(32-15-21-50-22-16-32)38-8-2-5-11-44(38)53-47)27-36(26-34)48-30-42(33-17-23-51-24-18-33)39-9-3-6-12-45(39)54-48/h1-30H

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 156.2 (Cq, 3C), 150.2 (CH, 6C), 148.7 (Cq, 3C), 146.6 (Cq, 3C), 146.2 (Cq, 3C), 140.7 (Cq, 3C), 130.4 (CH, 3C), 130.2 (CH, 3C), 127.8 (CH, 3C), 127.2 (CH, 3C), 125.0 (CH, 3C), 124.9 (Cq, 3C), 124.4 (CH, 6C), 119.1 (CH, 3C).
DOI: 10.15468/ubqexe
title: A new species and new records of Malagasy Megalopinus Eichelbaum (Coleoptera Staphylinidae, Megalopsidiinae), with notes on the sperm pump in rove beetles

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jałoszyński, Paweł (2020): A new species and new records of Malagasy Megalopinus Eichelbaum (Coleoptera Staphylinidae, Megalopsidiinae), with notes on the sperm pump in rove beetles. Zootaxa 4768 (3): 425-434, DOI: https://doi.org/10.11646/zootaxa.4768.3.9
DOI: 10.21227/r6r9-hv05
title: RSSI Dataset for Indoor Localization Fingerprinting

description: This RSSI Dataset is a comprehensive set of Received Signal Strength Indicator (RSSI) readings gathered from three different types of scenarios. Three wireless technologies were used which consisted of:Zigbee (IEEE 802.15.4),Bluetooth Low Energy (BLE), andWiFi (IEEE 802.11n 2.4GHz band).
DOI: 10.5281/zenodo.3780406
title: Molecular dynamics simulation data of regulatory ACT domain dimer mutation (G46S) of human phenylalanine hydroxylase (PAH)

description: Raw data of molecular dynamics simulations of regulatory ACT domain dimer mutation (G46S). <strong>binding.zip</strong>: simulation of dimer with 19 Phe ligand <strong>bound.zip</strong>: simulation of dimer with bound Phe ligand <strong>dimer.zip</strong>: simulation of dimer only Simulation setup files are also included in each folder.
DOI: 10.14272/jtrliypguaypnd-uhfffaoysa-n.1
title: 2-[3,5-bis(4-pyridin-4-ylquinolin-2-yl)phenyl]-4-pyridin-4-ylquinoline
title: InChI=1S/C48H30N6/c1-4-10-43-37(7-1)40(31-13-19-49-20-14-31)28-46(52-43)34-25-35(47-29-41(32-15-21-50-22-16-32)38-8-2-5-11-44(38)53-47)27-36(26-34)48-30-42(33-17-23-51-24-18-33)39-9-3-6-12-45(39)54-48/h1-30H

description: This dataset contains experimental data from a sample (2-[3,5-bis(4-pyridin-4-ylquinolin-2-yl)phenyl]-4-pyridin-4-ylquinoline, InChI=1S/C48H30N6/c1-4-10-43-37(7-1)40(31-13-19-49-20-14-31)28-46(52-43)34-25-35(47-29-41(32-15-21-50-22-16-32)38-8-2-5-11-44(38)53-47)27-36(26-34)48-30-42(33-17-23-51-24-18-33)39-9-3-6-12-45(39)54-48/h1-30H). The datasets from the following experiments are available: infrared absorption spectroscopy (IR) 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) fast-atom bombardment mass spectrometry (FABMS)
DOI: 10.14272/jtrliypguaypnd-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (2-[3,5-bis(4-pyridin-4-ylquinolin-2-yl)phenyl]-4-pyridin-4-ylquinoline)
title: InChI=1S/C48H30N6/c1-4-10-43-37(7-1)40(31-13-19-49-20-14-31)28-46(52-43)34-25-35(47-29-41(32-15-21-50-22-16-32)38-8-2-5-11-44(38)53-47)27-36(26-34)48-30-42(33-17-23-51-24-18-33)39-9-3-6-12-45(39)54-48/h1-30H

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 1701 (w), 1655 (w), 1602 (m), 1585 (vs), 1554 (m), 1538 (s), 1509 (m), 1492 (m), 1414 (m), 1402 (s), 1344 (m), 1316 (m), 1244 (m), 1235 (m), 1211 (s), 1173 (m), 1145 (m), 1129 (m), 1091 (m), 1068 (m), 992 (m), 887 (m), 846 (m), 824 (vs), 761 (vs), 747 (vs), 715 (m), 700 (s), 669 (m), 629 (s), 616 (vs), 598 (vs), 588 (s), 572 (s), 561 (s), 557 (s), 540 (s), 531 (s), 520 (s), 504 (s), 494 (s), 486 (s), 480 (s), 469 (s), 456 (s), 446 (s), 433 (vs), 415 (vs), 407 (s), 395 (s) cm–1.
DOI: 10.21227/69at-6186
title: RSSI Dataset for Indoor Localization Fingerprinting

description: This RSSI Dataset is a comprehensive set of Received Signal Strength Indicator (RSSI) readings gathered from three different types of scenarios. Three wireless technologies were used which consisted of:Zigbee (IEEE 802.15.4),Bluetooth Low Energy (BLE), andWiFi (IEEE 802.11n 2.4GHz band).
DOI: 10.21227/cd3a-3421
title: RSSI-Based Techniques for Location Based Services with the Internet of Things

description: Deleted
DOI: 10.21227/nf81-b623
title: RSSI Dataset for Indoor Localization Fingerprinting

description: This RSSI Dataset is a comprehensive set of Received Signal Strength Indicator (RSSI) readings gathered from three different types of scenarios. Three wireless technologies were used which consisted of:Zigbee (IEEE 802.15.4),Bluetooth Low Energy (BLE), andWiFi (IEEE 802.11n 2.4GHz band).
DOI: 10.25919/5eae0447537b0
title: Parkes observations for project P1050 semester 2020APRS_06

description: This is a request for observing time for the initial follow-up of pulsar discoveries from the re-processing of the low-latitude Galactic plane section of the HTRU survey (P630). We have now completed a first pass re-processing of the 60 % of the survey with GPU based coherent acceleration search and template bank search pipelines, and have discovered potential 54 previously unknown pulsars. Interesting science can usually only be derived from a new pulsar after confirmation and a follow-up timing campaign is carried out. One year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, spin-down rate, as well as to detect any unexpected behaviour of the pulsar which might result from emission instabilities. This follow-up and timing project is necessary for following up on any interesting pulsar systems discovered from the HTRU Galactic plane survey. Since all of the pulsars on the observing list here are being followed-up for the first time, they will produce completely new and exciting results. In addition, this timing project will enable a large-scale examination of the Galactic plane pulsar population, exploring the true boundaries of pulsar parameter space.
DOI: 10.5281/zenodo.3780405
title: Molecular dynamics simulation data of regulatory ACT domain dimer mutation (G46S) of human phenylalanine hydroxylase (PAH)

description: Raw data of molecular dynamics simulations of regulatory ACT domain dimer mutation (G46S). <strong>binding.zip</strong>: simulation of dimer with 19 Phe ligand <strong>bound.zip</strong>: simulation of dimer with bound Phe ligand <strong>dimer.zip</strong>: simulation of dimer only Simulation setup files are also included in each folder.
DOI: 10.21227/mw7g-qe03
title: ProcMon log file

description: The dataset is system activities captured by Procmon on Windows, including running malware WannaPeace and Infostealer.Dexter.
DOI: 10.5281/zenodo.3668713
title: Data and code for figures: Heteronuclear soliton molecules in optical microresonators

description: This dataset contains the figures and data presented in the paper &lt;Heteronuclear soliton molecules in optical microresonators&gt;.
DOI: 10.5281/zenodo.3668714
title: Data and code for figures: Heteronuclear soliton molecules in optical microresonators

description: This dataset contains the figures and data presented in the paper &lt;Heteronuclear soliton molecules in optical microresonators&gt;.
DOI: 10.5281/zenodo.3782689
title: sphinx_013.tar.gz

description: 13/33 CAPTCHA data
DOI: 10.5281/zenodo.3782690
title: sphinx_013.tar.gz

description: 13/33 CAPTCHA data
DOI: 10.14272/nifbpgipkuckii-nvqstnctsa-n.1
title: (E)-N-(2-(3,3-diisopropyltriaz-1-en-1-yl)-3-(trifluoromethyl)benzyl)adamantane-1-carboxamide
title: InChI=1S/C25H35F3N4O/c1-15(2)32(16(3)4)31-30-22-20(6-5-7-21(22)25(26,27)28)14-29-23(33)24-11-17-8-18(12-24)10-19(9-17)13-24/h5-7,15-19H,8-14H2,1-4H3,(H,29,33)/b31-30+

description: This dataset contains experimental data from a sample (InChI=1S/C25H35F3N4O/c1-15(2)32(16(3)4)31-30-22-20(6-5-7-21(22)25(26,27)28)14-29-23(33)24-11-17-8-18(12-24)10-19(9-17)13-24/h5-7,15-19H,8-14H2,1-4H3,(H,29,33)/b31-30+). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 19F nuclear magnetic resonance spectroscopy (19F NMR) infrared absorption spectroscopy (IR) mass spectrometry (MS) 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/nifbpgipkuckii-nvqstnctsa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C25H35F3N4O/c1-15(2)32(16(3)4)31-30-22-20(6-5-7-21(22)25(26,27)28)14-29-23(33)24-11-17-8-18(12-24)10-19(9-17)13-24/h5-7,15-19H,8-14H2,1-4H3,(H,29,33)/b31-30+

description: dataset for mass spectrometry (MS) EI (m/z, 70 eV, 110 °C): 464 (4) [M]+, 336 (49), 189 (7), 181 (9), 155 (7), 135 (100), 131 (11), 107 (4), 100 (36), 93 (10), 84 (4), 79 (11), 69 (72), 67 (4), 58 (8).HRMS (C25H35ON4F3): Calcd 464.2757, Found 464.2756.
DOI: 10.14272/nifbpgipkuckii-nvqstnctsa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C25H35F3N4O/c1-15(2)32(16(3)4)31-30-22-20(6-5-7-21(22)25(26,27)28)14-29-23(33)24-11-17-8-18(12-24)10-19(9-17)13-24/h5-7,15-19H,8-14H2,1-4H3,(H,29,33)/b31-30+

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, Chloroform-d [7.27 ppm], ppm) δ = 7.59 (dd, J = 1.2 Hz, J = 7.9 Hz, 1H), 7.49 (d, J = 7.6 Hz, 1H), 7.17 (t, J = 7.8 Hz, 1H), 5.98 (s, 1H), 5.22–5.13 (m, 1H), 4.39 (d, J = 5.5 Hz, 2H), 4.05 (sept, J = 6.7 Hz, 1H), 2.03 (s, 3H), 1.84 (d, J = 2.4 Hz, 6H), 1.75–1.66 (m, 6H), 1.37 (d, J = 6.7 Hz, 6H), 1.30 (d, J = 6.7 Hz, 6H). Impurities: unknown impurities at 1.5 and 1.9 ppm and in the range of the signal 1.66-1.75 ppm.
DOI: 10.14272/nifbpgipkuckii-nvqstnctsa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C25H35F3N4O/c1-15(2)32(16(3)4)31-30-22-20(6-5-7-21(22)25(26,27)28)14-29-23(33)24-11-17-8-18(12-24)10-19(9-17)13-24/h5-7,15-19H,8-14H2,1-4H3,(H,29,33)/b31-30+

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 177.5, 149.4, 133.3, 131.8, 126.0 (q, J = 5.8 Hz), 124.3, 124.2 (q, J = 280.3 Hz), 123.2 (q, J = 30.1 Hz), 49.5, 46.4, 40.6, 40.0, 39.3 (3C), 36.5 (3C), 28.1 (3C), 23.4 (2C), 19.2 (2C). Impurities: unknown impurities at 27.9 ppm, 36.4 ppm and 38.7 ppm.
DOI: 10.14272/nifbpgipkuckii-nvqstnctsa-n/chmo0000597
title: 19F nuclear magnetic resonance spectroscopy (19F NMR) ()
title: InChI=1S/C25H35F3N4O/c1-15(2)32(16(3)4)31-30-22-20(6-5-7-21(22)25(26,27)28)14-29-23(33)24-11-17-8-18(12-24)10-19(9-17)13-24/h5-7,15-19H,8-14H2,1-4H3,(H,29,33)/b31-30+

description: dataset for 19F nuclear magnetic resonance spectroscopy (19F NMR) 19F NMR (470 MHz, CDCl3, ppm) δ = –58.43.
DOI: 10.14272/nifbpgipkuckii-nvqstnctsa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C25H35F3N4O/c1-15(2)32(16(3)4)31-30-22-20(6-5-7-21(22)25(26,27)28)14-29-23(33)24-11-17-8-18(12-24)10-19(9-17)13-24/h5-7,15-19H,8-14H2,1-4H3,(H,29,33)/b31-30+

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3342 (w), 2972 (w), 2903 (s), 2849 (m), 1691 (w), 1630 (m), 1526 (m), 1444 (m), 1426 (vs), 1413 (s), 1383 (w), 1365 (m), 1317 (vs), 1265 (s), 1245 (m), 1222 (vs), 1192 (m), 1150 (vs), 1123 (vs), 1104 (vs), 1079 (s), 1063 (m), 1029 (m), 1004 (m), 976 (w), 936 (w), 915 (w), 882 (vw), 862 (w), 818 (vw), 801 (vw), 773 (w), 758 (w), 741 (w), 726 (w), 680 (w), 667 (m), 634 (w), 605 (w), 575 (vw), 548 (w), 524 (w), 507 (w), 489 (w), 442 (w), 396 (w) cm–1.
DOI: 10.15468/zw8u3z
title: Skeleton of a Cretaceous mammal from Madagascar reflects long-term insularity

description: This dataset contains the digitized treatments in Plazi based on the original journal article Krause, David W., Hoffmann, Simone, Hu, Yaoming, Wible, John R., Rougier, Guillermo W., Kirk, E. Christopher, Groenke, Joseph R., Rogers, Raymond R., Rossie, James B., Schultz, Julia A., Koenigswald, Wighart von, Rahantarisoa, Lydia J. (2020): Skeleton of a Cretaceous mammal from Madagascar reflects long-term insularity. Nature 580 (7805): 1-21, DOI: 10.1038/s41586-020-2234-8
DOI: 10.18112/openneuro.ds002773.v1.0.0
title: Retrieval practice facilitates memory updating by enhancing and differentiating medial prefrontal cortex representations
DOI: 10.5281/zenodo.3782703
title: sphinx_014.tar.gz

description: 14/33 sphinx_014.tar.gz data
DOI: 10.5281/zenodo.3782704
title: sphinx_014.tar.gz

description: 14/33 sphinx_014.tar.gz data
DOI: 10.15468/pzq9w8
title: First record of Lissotrachelus ferrugineonotatus cricket producing ultrasound (Orthoptera: Grylloidea)

description: This dataset contains the digitized treatments in Plazi based on the original journal article He, Zhu-Qing, Shen, Chu-Ze (2020): First record of Lissotrachelus ferrugineonotatus cricket producing ultrasound (Orthoptera: Grylloidea). Zootaxa 4768 (3): 443-445, DOI: https://doi.org/10.11646/zootaxa.4768.3.11
DOI: 10.25345/c5270j
title: MassIVE MSV000085361 - Molecular Signatures of Preeclampsia and Gestational Diabetes Mellitus Utilizing Multi-Omics Analyses, Part 2
title: The application of multi-omic evaluations, multi-dimensional analysis methods, and new cheminformatics-based visualization tools to provide an in depth understanding of the molecular changes taking place in preeclampsia (PRE) and gestational diabetes mellitus (GDM) patients. Since PRE and GDM are two prevalent pregnancy complications that result in adverse health effects for both the mother and fetus during pregnancy and later in life, a better understanding of each is essential. The multi-omic evaluations performed here provide new insight into the end-stage molecular profiles of each disease, thereby supplying crucial information for earlier diagnosis and potential treatments. Datasets here represent lipid samples analyzed via Ion Mobility Mass Spectrometry.
DOI: 10.14469/hpc/7161
title: Michael 1,4 addition, reactant imino, G = -994.542196

description: Gaussian Calculation
DOI: 10.14469/hpc/7162
title: Michael 1,4 addition, imino, S-C formation TS2, G = -994.533884

description: Gaussian Calculation
DOI: 10.5281/zenodo.3783878
title: SP2020_eDNA_raw_sequence_files

description: Raw fast5 sequence files for eDNA sequencing
DOI: 10.7910/dvn/mt38tg/dt04tz
title: GPA data.tab

description: :unav
DOI: 10.7910/dvn/mt38tg/vt73qn
title: GPA analysis.do

description: :unav
DOI: 10.5281/zenodo.3783597
title: Research collaboration patterns in sustainable mining – a co-authorship analysis of publications

description: This dataset includes data related to 4220 articles on sustainable mining published from 1983 to 2018. The Scopus database was selected as a data source. Detailed data applies to co-authored articles. The number of authors and affiliations (country, institution, sector) were taken into account. Data has been cleaned in terms of names of institutions and countries.<br> In given sets the following data were included:<br> - Distribution of articles in sustainable mining from 1983 to 2018<br> - Distribution of joint articles and the types of joint articles from 1983 to 2018<br> - Team size in terms of the number of authors of articles in sustainable mining from 1983 to 2018<br> - Team size in terms of the number of authors' institutions in articles in sustainable mining from 1983 to 2018<br> - Team size in terms of the number of authors' countries in articles in sustainable mining from 1983 to 2018 <strong>Please note, the field separator used in these files is a semicolon, while the decimal separator is a comma. Each of the files has two header lines.</strong>
description: This dataset is a research base for the article titled "Research collaboration patterns in sustainable mining – a co-authorship analysis of publications".
DOI: 10.5281/zenodo.3783598
title: Research collaboration patterns in sustainable mining – a co-authorship analysis of publications

description: This dataset includes data related to 4220 articles on sustainable mining published from 1983 to 2018. The Scopus database was selected as a data source. Detailed data applies to co-authored articles. The number of authors and affiliations (country, institution, sector) were taken into account. Data has been cleaned in terms of names of institutions and countries.<br> In given sets the following data were included:<br> - Distribution of articles in sustainable mining from 1983 to 2018<br> - Distribution of joint articles and the types of joint articles from 1983 to 2018<br> - Team size in terms of the number of authors of articles in sustainable mining from 1983 to 2018<br> - Team size in terms of the number of authors' institutions in articles in sustainable mining from 1983 to 2018<br> - Team size in terms of the number of authors' countries in articles in sustainable mining from 1983 to 2018 <strong>Please note, the field separator used in these files is a semicolon, while the decimal separator is a comma. Each of the files has two header lines.</strong>
description: This dataset is a research base for the article titled "Research collaboration patterns in sustainable mining – a co-authorship analysis of publications".
DOI: 10.5281/zenodo.3783877
title: SP2020_eDNA_raw_sequence_files

description: Raw fast5 sequence files for eDNA sequencing
description: Download and run 'run_this' script for most Unix systems
DOI: 10.3886/e113674v1-24081
title: Replication data for: Fertility Decline and Missing Women

description: The desire for smaller families is conjectured as one reason the male-to-female sex ratio has increased with economic development in several countries. Families that strongly want at least one son are less likely to obtain him by chance at low fertility, which could increase their use of sex-selective abortion. This paper quantifies the relationship between desired fertility and the sex ratio in India by eliciting sex composition preferences at specified fertility levels. I find that the desired sex ratio increases sharply as fertility falls and that fertility decline explains one third to one half of India's recent sex ratio increase.
DOI: 10.5281/zenodo.3783621
title: Neuromuscular block monitoring by smartphone application (i-TOF© system): an observational pilot study

description: Dataset of the observational pilot study on Neuromuscular block monitoring by smartphone application (i-TOF© system) compared to TOF-WATCH device. The present study was approved by Ethical Committee (Prot. 18.18 TS ComEt) of the University Hospital Campus Biomedico of Rome.
DOI: 10.5281/zenodo.3774723
title: VTT SCOTT IAQ Dataset

description: The dataset is real-life and long-term indoor air quality (IAQ) data captured over a period of a year in 2019, including all four seasons in the Nordic climate, and comprises of about 22.6 million samples acquired from total of 62 sensor nodes in 13 rooms at VTT premises in Northern Finland. IAQ parameters in the dataset include<br> o Temperature (T, in Celcius),<br> o Relative humidity (H, in RH-%),<br> o Air pressure (P, in hPa),<br> o Carbon dioxide concentration (CO2, in ppm), and<br> o Activity level (based on PIR senor, an integer in range 0..12 limits inclusive). For further information on the dataset, please see the attached file README.txt.
DOI: 10.5281/zenodo.3783618
title: MDT de la zona del castell de Cocentaina

description: Ficheros necesarios para seguir el video tutorial Insertar vista 3D realizada en Qgis en un PowerPoint. Los ficheros necesario son simplemente el castell_cocentaina.gpkg (la planta del castillo) [1] y el mdt_castell.tif (modelo digital de la zona del castillo) elaborada a partir del modelo digital del terreno MDT de 2m de resolución descargado de la IDEV. El resto de los ficheros responden a los pasos intermedios y al resultado (prueba3D_per_a_power2.pptx) [1] Extraido de la Cartografia oficial de la Comunitat Valenciana a escala 1:5.000 de l’Institut Cartogràfic Valencià disponible en http://www.idev.gva.es/va/
DOI: 10.5281/zenodo.3783619
title: MDT de la zona del castell de Cocentaina

description: Ficheros necesarios para seguir el video tutorial Insertar vista 3D realizada en Qgis en un PowerPoint. Los ficheros necesario son simplemente el castell_cocentaina.gpkg (la planta del castillo) [1] y el mdt_castell.tif (modelo digital de la zona del castillo) elaborada a partir del modelo digital del terreno MDT de 2m de resolución descargado de la IDEV. El resto de los ficheros responden a los pasos intermedios y al resultado (prueba3D_per_a_power2.pptx) [1] Extraido de la Cartografia oficial de la Comunitat Valenciana a escala 1:5.000 de l’Institut Cartogràfic Valencià disponible en http://www.idev.gva.es/va/
DOI: 10.5519/qd.8c6wo8vm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21227/2eyc-z729
title: Corona Virus (COVID-19) Geolocation-based Sentiment Data

description: This dataset contains the geolocation-based sentiment analysis data. The data is generated by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". Complying with Twitter's data sharing policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted with an exact location that contained any of the previously mentioned keywords.Note: I started sharing the IDs of the tweets that contained the exact location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs (above 50 million tweets) shared in the Corona Virus (COVID-19) Tweets dataset.If you need the geolocation-based data starting March 20, 2020, then use the Corona Virus (COVID-19) Tweets dataset and hydrate the IDs while adding the following condition:if data["coordinates"] is true; use longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.