cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3597466
title: IO Islamic 1895. Gulshan-i-Balâghat, Official Letters and Documents

description: IO Islamic 1895. Gulshan-i-Balâghat, Official Letters and Documents
DOI: 10.5281/zenodo.3597467
title: IO Islamic 1895. Gulshan-i-Balâghat, Official Letters and Documents

description: IO Islamic 1895. Gulshan-i-Balâghat, Official Letters and Documents
DOI: 10.5281/zenodo.3597468
title: IO Islamic 192. Tawârîkh-i-Akbarnâma, Abridged History of the Emperor Akbar's Reign

description: IO Islamic 192. Tawârîkh-i-Akbarnâma, Abridged History of the Emperor Akbar’s Reign
DOI: 10.5281/zenodo.3597469
title: IO Islamic 192. Tawârîkh-i-Akbarnâma, Abridged History of the Emperor Akbar's Reign

description: IO Islamic 192. Tawârîkh-i-Akbarnâma, Abridged History of the Emperor Akbar’s Reign
DOI: 10.5281/zenodo.3597470
title: IO Islamic 1805. Zubdat-Altawârîkh, General History of India

description: IO Islamic 1805. Zubdat-Altawârîkh, General History of India
DOI: 10.5281/zenodo.3597471
title: IO Islamic 1805. Zubdat-Altawârîkh, General History of India

description: IO Islamic 1805. Zubdat-Altawârîkh, General History of India
DOI: 10.5519/qd.8mzlu89h
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1341447 records)
DOI: 10.5519/qd.y93gwash
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1000 records)
DOI: 10.14469/hpc/6625
title: LiF singlet

description: Gaussian Calculation
DOI: 10.5281/zenodo.3597476
title: IO Islamic 1251. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times

description: IO Islamic 1251. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times
DOI: 10.5281/zenodo.3597477
title: IO Islamic 1251. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times

description: IO Islamic 1251. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times
DOI: 10.5281/zenodo.3597378
title: Remote sensing based species distribution modelling based on GLCM and vegetation fractions for the city of Leipzig

description: Modelling dataset and fractional vegetation cover dataset used in the study "Earth observation based indication for avian species distribution models using the spectral trait concept and machine learning in an urban setting" Wellmann et al. 2020. Reference: Wellmann, T., Lausch, A., Scheuer, S., & Haase, D. (2020). Earth observation based indication for avian species distribution models using the spectral trait concept and machine learning in an urban setting. <em>Ecological Indicators</em>, <em>111</em>(April 2020), 106029. https://doi.org/10.1016/j.ecolind.2019.106029
DOI: 10.5281/zenodo.3597379
title: Remote sensing based species distribution modelling based on GLCM and vegetation fractions for the city of Leipzig

description: Modelling dataset and fractional vegetation cover dataset used in the study "Earth observation based indication for avian species distribution models using the spectral trait concept and machine learning in an urban setting" Wellmann et al. 2020. Reference: Wellmann, T., Lausch, A., Scheuer, S., & Haase, D. (2020). Earth observation based indication for avian species distribution models using the spectral trait concept and machine learning in an urban setting. <em>Ecological Indicators</em>, <em>111</em>(April 2020), 106029. https://doi.org/10.1016/j.ecolind.2019.106029
DOI: 10.5281/zenodo.3597478
title: IO Islamic 2425 & 2426. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times

description: IO Islamic 2425 & 2426. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times
DOI: 10.5281/zenodo.3597479
title: IO Islamic 2425 & 2426. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times

description: IO Islamic 2425 & 2426. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times
DOI: 10.5281/zenodo.3597480
title: IO Islamic 2885...2887. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times

description: IO Islamic 2885...2887. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times
DOI: 10.5281/zenodo.3597481
title: IO Islamic 2885...2887. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times

description: IO Islamic 2885...2887. Gulshan-i-Ibrâhîmî, General History of India, from the Oldest Times
DOI: 10.5519/qd.gu5a76ct
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.26302/sshade/experiment_bs_20200103_001
title: Near and Mid-IR optical constants of crystalline H2O ice Ih at 140-145K

description: Near and Mid-IR optical constants of crystalline H2O ice Ih at 140K (NIR) - 145K (MIR). The data are completed in the Visible and UV (&gt; 10500 $cm^{-1}$, &lt; 0.95 µm) with data at 270K from Warren (1986)
DOI: 10.5281/zenodo.3596785
title: Ministry of Environment of Québec (2011-2014) web archive collection derivatives

description: Web archive derivatives of the Ministry of Environment of Québec (2011-2014) collection from the Bibliothèque et Archives nationales du Québec. The derivatives were created with the Archives Unleashed Toolkit. Merci beaucoup BAnQ! These derivatives are in the Apache Parquet format, which is a columnar storage format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See this notebook for examples. <strong>Domains</strong> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: domain count <strong>Web Pages</strong> <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: crawl_date url mime_type_web_server mime_type_tika content <strong>Web Graph</strong> <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: crawl_date src dest anchor <strong>Image Links</strong> <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: src image_url <strong>Binary Analysis</strong> Audio Images PDFs Presentation program files Spreadsheets Text files Videos Word processor files
DOI: 10.5281/zenodo.3596786
title: Ministry of Environment of Québec (2011-2014) web archive collection derivatives

description: Web archive derivatives of the Ministry of Environment of Québec (2011-2014) collection from the Bibliothèque et Archives nationales du Québec. The derivatives were created with the Archives Unleashed Toolkit. Merci beaucoup banq! These derivatives are in the Apache Parquet format, which is a columnar storage format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See this notebook for examples. <strong>Domains</strong> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: domain count <strong>Web Pages</strong> <pre><code class="language-java">.webpages()</code></pre> Produces a DataFrame with the following columns: crawl_date url mime_type_web_server mime_type_tika content <strong>Web Graph</strong> <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: crawl_date src dest anchor <strong>Image Links</strong> <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: src image_url <strong>Binary Analysis</strong> Audio Images PDFs Presentation program files Spreadsheets Text files Videos Word processor files
DOI: 10.5281/zenodo.3597384
title: Dataset 02: DS2.WP2_0.2 - Raman mapping results of LIFT printed graphene

description: Raw Raman mapping results of LIFT printed graphene on SiO2/Si.
DOI: 10.5281/zenodo.3597385
title: Dataset 02: DS2.WP2_0.2 - Raman mapping results of LIFT printed graphene

description: Raw Raman mapping results of LIFT printed graphene on SiO2/Si.
DOI: 10.5281/zenodo.3597390
title: Data for paper titled : Comparing Clothing-Mounted Sensors with Wearable Sensors for Movement Analysis and Activity Classification (published in Sensors (MDPI))

description: Data for paper titled : Comparing Clothing-Mounted Sensors with Wearable Sensors for Movement Analysis and Activity Classification (published in Sensors (MDPI))
DOI: 10.5281/zenodo.3597391
title: Data for paper titled : Comparing Clothing-Mounted Sensors with Wearable Sensors for Movement Analysis and Activity Classification (published in Sensors (MDPI))

description: Data for paper titled : Comparing Clothing-Mounted Sensors with Wearable Sensors for Movement Analysis and Activity Classification (published in Sensors (MDPI))
DOI: 10.5281/zenodo.3596976
title: Proton-induced reactions on Fe, Cu, & Ti from threshold to 55 MeV

description: This repository contains all raw gamma-ray spectra analyzed for the present manuscript, as well as calibration spectra. Further details and analysis code are available on reasonable request. Theoretical models often differ significantly from measured data in their predictions of the magnitude of nuclear reactions that produce radionuclides for medical, research, and national security applications. In this paper, we compare a priori predictions from several state-of-the-art reaction modeling packages (CoH, EMPIRE, TALYS, and ALICE) to cross sections measured using the stacked-target activation method. The experiment was performed using the LBNL 88-Inch Cyclotron with beams of 25 and 55 MeV protons on a stack of iron, copper, and titanium foils. 34 excitation functions were measured for 4 &lt; Ep &lt; 55 MeV, including the first measurement of the independent cross sections for natFe(p,x) 49,51Cr, 51,52m,52g,56Mn, and 58m,58gCo. All of the models failed to reproduce the isomer-to-ground state ratio for reaction channels at compound and pre-compound energies, suggesting issues in modeling the deposition or distribution of angular momentum in these residual nuclei.
DOI: 10.5281/zenodo.3596977
title: Proton-induced reactions on Fe, Cu, & Ti from threshold to 55 MeV

description: This repository contains all raw gamma-ray spectra analyzed for the present manuscript, as well as calibration spectra. Further details and analysis code are available on reasonable request. Theoretical models often differ significantly from measured data in their predictions of the magnitude of nuclear reactions that produce radionuclides for medical, research, and national security applications. In this paper, we compare a priori predictions from several state-of-the-art reaction modeling packages (CoH, EMPIRE, TALYS, and ALICE) to cross sections measured using the stacked-target activation method. The experiment was performed using the LBNL 88-Inch Cyclotron with beams of 25 and 55 MeV protons on a stack of iron, copper, and titanium foils. 34 excitation functions were measured for 4 &lt; Ep &lt; 55 MeV, including the first measurement of the independent cross sections for natFe(p,x) 49,51Cr, 51,52m,52g,56Mn, and 58m,58gCo. All of the models failed to reproduce the isomer-to-ground state ratio for reaction channels at compound and pre-compound energies, suggesting issues in modeling the deposition or distribution of angular momentum in these residual nuclei.
DOI: 10.17632/ypy493nhvk.1
title: Data associated with genomic basis of circannual rhythm in the European corn borer moth

description: Chromosomal maps for the European Corm Borer Genome.
DOI: 10.21227/9fzv-9h50
title: An annotated dataset of tongue images

description: This is a tongue image dataset collected from the inpatient elderly population at a tertiary hospital in Shanghai, China. The data acquisition device, we called the intelligent mirror, is a light-field camera using CIELAB with a patent number as CN201520303463.5. The main parameters produced by the intelligent mirror initially are the color of the tongue, tongue coating, lip, and face. We manually labeled the dataset with several other parameters based on traditional Chinese medicine, including tongue shape, size, the degree of smooth or shiny, and the judgment of tooth marks or fissured tongue. This original and continuously growing dataset is suitable as secondary materials to understand the clinical interoperability between Chinese and Western medicine. Another possible future application lies in the commercial field, which is to be the training set as adjuvant therapy deep learning via mHealth tools.
DOI: 10.14272/rnlyinnbmkdnjk-lurjtmiesa-n.1
title: (S)-1,4-dibromo-2-(1-methoxyethyl)benzene
title: InChI=1S/C9H10Br2O/c1-6(12-2)8-5-7(10)3-4-9(8)11/h3-6H,1-2H3/t6-/m0/s1

description: This dataset contains experimental data from a sample (InChI=1S/C9H10Br2O/c1-6(12-2)8-5-7(10)3-4-9(8)11/h3-6H,1-2H3/t6-/m0/s1). The datasets from the following experiments are available: infrared absorption spectroscopy (IR) electron ionisation mass spectrometry (EI-MS) 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/rnlyinnbmkdnjk-lurjtmiesa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C9H10Br2O/c1-6(12-2)8-5-7(10)3-4-9(8)11/h3-6H,1-2H3/t6-/m0/s1

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (126 MHz, CDCl3, ppm) δ = 142.0 (Cq, CAr), 135.0 (+, CH, CAr), 131.2 (+, CH, CAr), 128.4 (+, CH, CAr), 123.2 (Cq., CAr), 121.4 (Cq, CAr), 78.0 (+, CH, CHOCH3), 57.0 (+, CH3, CHOCH3), 22.5 (+, CH, CHCH3). The spectrum contains ca. 5% impurities according 1H NMR measurement with the same sample.
DOI: 10.14272/rnlyinnbmkdnjk-lurjtmiesa-n/chmo0000480
title: electron ionisation mass spectrometry (EI-MS) ()
title: InChI=1S/C9H10Br2O/c1-6(12-2)8-5-7(10)3-4-9(8)11/h3-6H,1-2H3/t6-/m0/s1

description: dataset for electron ionisation mass spectrometry (EI-MS) MS (EI, 70 eV, %) m/z = 296/294/292 (5/10/5) [M–H]+, 281/279/277 (49/100/51) [M–CH3]+.HRMS (EI, [M]+, C9H10O79Br2) calc.: 291.9098; found: 291.9097.
DOI: 10.14272/rnlyinnbmkdnjk-lurjtmiesa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C9H10Br2O/c1-6(12-2)8-5-7(10)3-4-9(8)11/h3-6H,1-2H3/t6-/m0/s1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, CDCl3, ppm) δ = 7.68 (d, J = 2.0 Hz, 1H, HAr), 7.47 (ddd, J = 8.3 Hz, J = 1.9 Hz, J = 0.6 Hz, 1H, HAr), 7.35 (d, J = 8.3 Hz, 1H, HAr), 4.64 (q, J = 6.4 Hz, 1H, CHOCH3), 3.24 (s, 3H, CHOCH3), 1.37 (d, J = 6.4 Hz, 3H, CHCH3). The spectrum contains ca. 5% impurities.
DOI: 10.14272/rnlyinnbmkdnjk-lurjtmiesa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C9H10Br2O/c1-6(12-2)8-5-7(10)3-4-9(8)11/h3-6H,1-2H3/t6-/m0/s1

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2978 (w), 2925 (m), 2853 (w), 2822 (w), 1708 (vw), 1578 (m), 1553 (m), 1463 (vs), 1452 (m), 1400 (vw), 1371 (s), 1346 (m), 1316 (w), 1269 (w), 1256 (w), 1211 (m), 1156 (w), 1136 (w), 1112 (vs), 1095 (s), 1084 (vs), 1060 (s), 1031 (vs), 994 (w), 959 (w), 866 (s), 824 (s), 788 (s), 730 (w), 717 (w), 696 (w), 686 (w), 642 (w), 623 (vw), 615 (vw), 564 (m), 513 (w), 499 (w), 442 (w) cm–1.
DOI: 10.21227/7993-ng48
title: An annotated dataset of tongue images

description: This is a tongue image dataset collected from the inpatient elderly population at a tertiary hospital in Shanghai, China. The data acquisition device, we called the intelligent mirror, is a light-field camera using CIELAB with a patent number as CN201520303463.5. The main parameters produced by the intelligent mirror initially are the color of the tongue, tongue coating, lip, and face. We manually labeled the dataset with several other parameters based on traditional Chinese medicine, including tongue shape, size, the degree of smooth or shiny, and the judgment of tooth marks or fissured tongue. This original and continuously growing dataset is suitable as secondary materials to understand the clinical interoperability between Chinese and Western medicine. Another possible future application lies in the commercial field, which is to be the training set as adjuvant therapy deep learning via mHealth tools.
DOI: 10.25345/c5qd6f
title: MassIVE MSV000084748 - Pulse SILAC analysis of immuno-precipitated mitochondrial complexes I, IV and V
title: Pulse SILAC analysis of mitochondrial complexes I, IV and V HeLa cells
DOI: 10.25345/c5kq35
title: MassIVE MSV000084749 - Pulse SILAC analysis of mitochondrial complex assembly
title: Pulse SILAC analysis of mitochondrial protein complex assembly Pulse times (hours): P3, P4, P6, P12 Bogenhagen et al. Cell Reports 2018
DOI: 10.25345/c5fx0v
title: MassIVE MSV000084750 - Pulse-chase SILAC analysis of mitochondrial complex assembly
title: Pulse (P) - Chase (C) SILAC analysis of mitochondrial complex assembly Bogenhagen et al (2018) Cell Reports Pulse-chase times in hours (P#C#)
DOI: 10.18739/a2mp4vn5f
title: Downcore carbon characteristics and methane and carbon dioxide cumulative production rates from an incubated permafrost core, Tuktoyaktuk, Northwest Territories, 2018

description: In March 2018, we collected a 12 meter (m) permafrost core from Tuktoyaktuk Island, Northwest Territories, Canada, an area that has lost considerable coastline. Here, we archive downcore carbon characteristics (methane, total organic carbon and dissolved organic carbon concentrations). At four depths in the soil (~0.61 m, 1.52 m, 2.8 m, and 11.6 m), we also incubated the material under their thawed (+5°C and +15°C) and frozen (-20°C and -5°C) states to report methane and carbon dioxide cumulative production rates.
DOI: 10.6073/pasta/1cdf0704661283ea04c75cb1ef11b40c
title: SBC LTER: Reef: Coefficients for estimating biomass from body size or percent cover for kelp forest species

description: These data provide coefficients to estimate the biomass of macroalgae, invertebrates and fish from field measurements of body size or percent cover. We developed quantitative relationships between mass and length or mass and percent cover, and conversion factors for transforming wet mass into dry mass, shell free and decalcified dry mass, and ash-free dry mass for 103 taxa of benthic macroalgae and macroinvertebrates common to giant kelp forests in southern California. We also compiled literature-based relationships between mass and total length for 52 species of reef fish common to giant kelp forests in southern California.
DOI: 10.6073/pasta/279a263befd112dd32bdee223230d24a
title: SBC LTER: Comparison of spherical and planar light sensors

description: Seafloor irradiance in permanent plots at three subtidal reefs off Santa Barbara, California was compared in spring 2016 using data collected from paired planar and spherical PAR sensors. The three reefs (Isla Vista 34° 23.275’N, 119° 32.792’W; Mohawk 34° 23.649’N, 119° 43.762’W; and Naples 34° 25.342’N, 119° 57.102’W) ranged in depth from 5.8 m to 8.9 m (MLLW) and were chosen to represent a range of physical and biological characteristics. The purpose of the comparison was to develop a method for calibrating irradiance data collected from the two types of sensors.
DOI: 10.6073/pasta/8aaeb5115fc7cb5a08c0e196278e0425
title: SBC LTER: Reef: Macroalgal photosynthetic parameters

description: ABSTRACT These data tables contain the laboratory-derived values for photosynthetic parameters (Pmax, alpha, and dark respiration) for 22 taxa of understory macroalgae and juvenile Macrocystis pyrifera. Photosynthetic parameters can be combined with in situ data on algal abundance and irradiance to estimate net primary production for the understory macroalgal community.
DOI: 10.5281/zenodo.3597513
title: CancerMine

description: This describes the output files for the CancerMine project. These files are loaded directly by the CancerMine viewer. The code for this viewer is available in the CancerMine Github repo if you want to run it independently. Each file is a tab-delimited file with a header, no comments and no quoting. You likely want <strong>cancermine_collated.tsv</strong> if you just want the list of cancer gene roles. If you want the supporting sentences, look at <strong>cancermine_sentences.tsv</strong>. You can use the <em>matching_id</em> column to connect the two files. If you want to dig further and are okay with a higher false positive rate, look at <strong>cancermine_unfiltered.tsv</strong>. <strong>cancermine_collated.tsv:</strong> This contains the cancer gene roles with citation counts supporting them. It contains the normalized cancer and gene names along with IDs for HUGO, Entrez Gene and the Disease Ontology. <strong>cancermine_sentences.tsv:</strong> This contains the supporting sentences for the cancer gene roles in the collated file. Each row is a single supporting sentence for one cancer gene role. This file contains information on the source publication (e.g. journal, publication date, etc), the actual sentence and the cancer gene role extracted. <strong>cancermine_unfiltered.tsv:</strong> This is the raw output of the applyModelsToSentences.py script across all of PubMed, Pubmed Central Open Access and PubMed Central Author Manuscript Collection. It contains every predicted relation with a prediction score above 0.5. So this may contain many false positives. Each row contain information on the publication (e.g. journal, publication date, etc) along with the sentence and the specific cancer gene role extracted (with HUGO, Entrez Gene and Disease Ontology IDs). This file is further processed to create the other two.
DOI: 10.17632/x6g8xtfv2j.5
title: Data for: Roles of nucleus accumbens shell and core in footshock-induced stress altering behavioral sensitization by methamphetamine in acquisition and testing

description: The files include two parts. One is nucleus accumbens core and the other is nucleus accumbens shell.
DOI: 10.3886/e117045v1
title: Data And Code For Network Of Thrones: Kinship And Conflict In Europe, 1495 - 1918

description: This code repository includes all replication code and data used in "A Network of Thrones: Kinship and Conflict in Europe, 1495-1918" by Seth Benzell and Kevin Cooke.
DOI: 10.7910/dvn/oclae2/drls0k
title: ITD_data.tab

description: :unav
DOI: 10.7910/dvn/oclae2/dfxuiu
title: signal_speech.m

description: :unav
DOI: 10.7910/dvn/oclae2/fwgnum
title: apa.wav

description: :unav
DOI: 10.7910/dvn/oclae2/gk30gc
title: resp_gui.fig

description: :unav
DOI: 10.7910/dvn/oclae2/neowcv
title: aba.wav

description: :unav
DOI: 10.7910/dvn/oclae2/tpme7q
title: ada.wav

description: :unav
DOI: 10.7910/dvn/oclae2/vz866e
title: aka.wav

description: :unav
DOI: 10.7910/dvn/oclae2/xbpnqs
title: resp_gui.m

description: :unav
DOI: 10.7910/dvn/oclae2/jmkxxc
title: ata.wav

description: :unav
DOI: 10.7910/dvn/oclae2/rju19a
title: ITD.m

description: :unav
DOI: 10.7910/dvn/oclae2/uhni9z
title: aga.wav

description: :unav