cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7y2562bxvn.1
title: Data for: Crust heterogeneities and structure at the dichotomy boundary in western Elysium Planitia and Implications for InSight lander

description: Six crust velocity models based on geological observations
DOI: 10.5281/zenodo.3544179
title: Swahili syllabic Alphabet

description: The syllabic alphabet outlines all the possible combination of consonants and vowels that serve as a basis for all the Swahili words. Therefore, the Swahili syllabic alphabet enumerates all the possible syllables that are used to construct Swahili words. The syllables are considered the smallest unit in Swahili and could consists of a vowel preceded by one to three consonants though there are special syllables made of single consonants or vowels. To derive the Swahili syllabic alphabet, we used the syllabification rules by and the digraphs and trigraphs proposed by Masengo. The syllables include prefixes that serve as Swahili noun class markers or subject prefixes (a, wa, vi, ki, m, mi), tense prefixes (na, li, ta, nge), relative prefixes (o, mo, ko, po, cho, vyo, lo, ye) and object markers (ki, vi, m, wa, mwu, ya, ji, mu, kwa, zi).
DOI: 10.5281/zenodo.3544180
title: Swahili syllabic Alphabet

description: The syllabic alphabet outlines all the possible combination of consonants and vowels that serve as a basis for all the Swahili words. Therefore, the Swahili syllabic alphabet enumerates all the possible syllables that are used to construct Swahili words. The syllables are considered the smallest unit in Swahili and could consists of a vowel preceded by one to three consonants though there are special syllables made of single consonants or vowels. To derive the Swahili syllabic alphabet, we used the syllabification rules by and the digraphs and trigraphs proposed by Masengo. The syllables include prefixes that serve as Swahili noun class markers or subject prefixes (a, wa, vi, ki, m, mi), tense prefixes (na, li, ta, nge), relative prefixes (o, mo, ko, po, cho, vyo, lo, ye) and object markers (ki, vi, m, wa, mwu, ya, ji, mu, kwa, zi).
DOI: 10.5281/zenodo.3544742
title: S59 | NPINESCT | Natural Product Insecticides

description: This is the collection associated with list S59 NPINSECT on the NORMAN Suspect List Exchange. https://www.norman-network.com/nds/SLE/ A list of 83 naturally occurring insecticides curated and provided by Reza Aalizadeh (University of Athens)
DOI: 10.5519/qd.4034z2c6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (77 records)
DOI: 10.7910/dvn/yctvll/awiptj
title: Questionaires＿Psychological Poverty.pdf

description: Supplementary Documents: Questionnaires for "The Impact of Psychological Poverty on Economic Decisions."
DOI: 10.7910/dvn/yctvll/ezwpxu
title: Data_without_indirect_identifiers.tab

description: Replication Data for "The Impact of Psychological Poverty on Economic Decisions." (Indirect identifiers such as age, sex,hometown,ID_type,family_backgroud_city,major,income, and family_consumption variables for answers to Post-experiment questions 1,2,3,4,5,6,10,11 are excluded to protect the privacy of subjects.)
DOI: 10.5281/zenodo.3544757
title: Data clustering sample 0107

description: Telegram's contest of data clustering. First sample of data.
DOI: 10.5281/zenodo.3544758
title: Data clustering sample 0107

description: Telegram's contest of data clustering. First sample of data.
DOI: 10.5281/zenodo.3544760
title: S60 | SWISSPEST19 | Swiss Pesticides and Metabolites from Kiefer et al 2019

description: This is the collection associated with list S60 SWISSPEST19 on the NORMAN Suspect List Exchange. https://www.norman-network.com/nds/SLE/ Swiss pesticides (plant protection products) and metabolites from Kiefer et al 2019 (Eawag), Tables SI-B 1 and 2, DOI: 10.1016/j.watres.2019.114972
description: For full information refer to original publication: DOI: 10.1016/j.watres.2019.114972
DOI: 10.5281/zenodo.3544570
title: Brownian Motion or Mean Reversion? A Parameter Based Approach to Stochastic Process Selection

description: Data set and supporting files for article "Brownian Motion or Mean Reversion? A Parameter Based Approach to Stochastic Process Selection" ADF Tests log commodities SA (Excel and PDF files) – EViews outputs (18) of Augmented Dickey-Fuller tests run on all 9 Seasonally Adjusted time series (S A) with trend and intercept, and with only intercept. Commodities data historical x Inflation (Excel file) – Time series used in the paper in 3 versions: In historical monthly averages prices US$, In December 2018 US$ prices (with US inflation adjustment in appropriate tab), In December 2018 US$ prices Seasonally Adjusted (S A) from EViews output. commodities log SA data Ev1 (Excel file) – for the log of 9 commodities time series in Dec 2018 values, after STL decomposition in EViews: original series, seasonally adjusted, seasonal factor and trend commodities log SA Regressions (Excel and PDF files) - EViews outputs of OLS regression on log of seasonally adjusted times series: Dx = α + β x. GBMVaratAVG, GBMVaratPaths, MRMVaratAVG, MRMVaratPaths (Matlab codes) – Matlab codes for Variance ratio tests for GBM and MRM, sample paths (200) and averages of 2,500 paths. Series Seasonal data decomposition (PDF file) – graphical display of seasonal decomposition of log of 9 price series into: original series, trend, seasonal factor, remainder, and seasonally adjusted. Variance Ratio Comm SA (Excel file) - EViews outputs of variance ratio tests run of seasonal adjusted log of 9 price series in Dec 2018 values. ADF Tests log commodities SA (Excel and PDF files) – EViews outputs (18) of Augmented Dickey-Fuller tests run on all 9 Seasonally Adjusted time series (S A) with trend and intercept, and with only intercept. Commodities data historical x Inflation (Excel file) – Time series used in the paper in 3 versions: In historical monthly averages prices US$, In December 2018 US$ prices (with US inflation adjustment in appropriate tab), In December 2018 US$ prices Seasonally Adjusted (S A) from EViews output. commodities log SA data Ev1 (Excel file) – for the log of 9 commodities time series in Dec 2018 values, after STL decomposition in EViews: original series, seasonally adjusted, seasonal factor and trend commodities log SA Regressions (Excel and PDF files) - EViews outputs of OLS regression on log of seasonally adjusted times series: Dx = α + β x. GBMVaratAVG, GBMVaratPaths, MRMVaratAVG, MRMVaratPaths (Matlab codes) – Matlab codes for Variance ratio tests for GBM and MRM, sample paths (200) and averages of 2,500 paths. Series Seasonal data decomposition (PDF file) – graphical display of seasonal decomposition of log of 9 price series into: original series, trend, seasonal factor, remainder, and seasonally adjusted. Variance Ratio Comm SA (Excel file) - EViews outputs of variance ratio tests run of seasonal adjusted log of 9 price series in Dec 2018 values.
DOI: 10.5281/zenodo.3544571
title: Brownian Motion or Mean Reversion? A Parameter Based Approach to Stochastic Process Selection

description: Data set and supporting files for article "Brownian Motion or Mean Reversion? A Parameter Based Approach to Stochastic Process Selection" ADF Tests log commodities SA (Excel and PDF files) – EViews outputs (18) of Augmented Dickey-Fuller tests run on all 9 Seasonally Adjusted time series (S A) with trend and intercept, and with only intercept. Commodities data historical x Inflation (Excel file) – Time series used in the paper in 3 versions: In historical monthly averages prices US$, In December 2018 US$ prices (with US inflation adjustment in appropriate tab), In December 2018 US$ prices Seasonally Adjusted (S A) from EViews output. commodities log SA data Ev1 (Excel file) – for the log of 9 commodities time series in Dec 2018 values, after STL decomposition in EViews: original series, seasonally adjusted, seasonal factor and trend commodities log SA Regressions (Excel and PDF files) - EViews outputs of OLS regression on log of seasonally adjusted times series: Dx = α + β x. GBMVaratAVG, GBMVaratPaths, MRMVaratAVG, MRMVaratPaths (Matlab codes) – Matlab codes for Variance ratio tests for GBM and MRM, sample paths (200) and averages of 2,500 paths. Series Seasonal data decomposition (PDF file) – graphical display of seasonal decomposition of log of 9 price series into: original series, trend, seasonal factor, remainder, and seasonally adjusted. Variance Ratio Comm SA (Excel file) - EViews outputs of variance ratio tests run of seasonal adjusted log of 9 price series in Dec 2018 values. ADF Tests log commodities SA (Excel and PDF files) – EViews outputs (18) of Augmented Dickey-Fuller tests run on all 9 Seasonally Adjusted time series (S A) with trend and intercept, and with only intercept. Commodities data historical x Inflation (Excel file) – Time series used in the paper in 3 versions: In historical monthly averages prices US$, In December 2018 US$ prices (with US inflation adjustment in appropriate tab), In December 2018 US$ prices Seasonally Adjusted (S A) from EViews output. commodities log SA data Ev1 (Excel file) – for the log of 9 commodities time series in Dec 2018 values, after STL decomposition in EViews: original series, seasonally adjusted, seasonal factor and trend commodities log SA Regressions (Excel and PDF files) - EViews outputs of OLS regression on log of seasonally adjusted times series: Dx = α + β x. GBMVaratAVG, GBMVaratPaths, MRMVaratAVG, MRMVaratPaths (Matlab codes) – Matlab codes for Variance ratio tests for GBM and MRM, sample paths (200) and averages of 2,500 paths. Series Seasonal data decomposition (PDF file) – graphical display of seasonal decomposition of log of 9 price series into: original series, trend, seasonal factor, remainder, and seasonally adjusted. Variance Ratio Comm SA (Excel file) - EViews outputs of variance ratio tests run of seasonal adjusted log of 9 price series in Dec 2018 values.
DOI: 10.5281/zenodo.3544587
title: SciCast Data version1

description: This is the data collected from the combinatorial prediction market called SciCast which was run by George Mason University. The data was collected between Nov 2013 - July 2015.
DOI: 10.5281/zenodo.3544588
title: SciCast Data version1

description: This is the data collected from the combinatorial prediction market called SciCast which was run by George Mason University. The data was collected between Nov 2013 - July 2015.
DOI: 10.7910/dvn/qzh2dp/afzd5f
title: MSMS_ESI_QTOF_PMI5011Extracts_compounds.zip

description: LC-MSMS(ESI/qTOF) data of PMI5011 extracts, DMC-2 (4-O-methyldavidigenin) and elemicin in positive and negative mode. Internal calibration with sodium formate solution.
DOI: 10.7910/dvn/qzh2dp/b57tsz
title: 4-O-methyldavidigenin_1HNMR_DMSOd6_600MHz.zip

description: Contains the 1H NMR data (Bruker raw NMR file, and jdx) of 4-O-methyldavidigenin (2'4'dihydroxy-4-methoxydihydrochalcone, pubchem ID: 578444) in DMSOd6 600MHz for structure dereplication. This compound is also called DMC-2 in the current manuscript and related publications.
DOI: 10.7910/dvn/qzh2dp/btrxht
title: 4-O-methyldavidigenin_fraction_qHNMR_IC_CD3OD_400MHz.zip

description: This file contains the 1D qHNMR analysis of 4-O-methyldavidigenin (syn. DMC-2) and the knocked-out fraction with the spreadsheets for the absolute determination of purity, and the determination of concentration of both methyldavidigenin isomers (syn. DMC-1 and DMC-2) in the fraction. The internal calibrant was dinitrobenzoic acid (TraceCERT Part#15639, quantity in 3 mm NMR tube 1.796 mg). The quantity of synthetic 4-O-methyldavidigenin (DMC-2) analyzed was 2.02 mg. The quantity of fraction analyzed was 1.50 mg
DOI: 10.7910/dvn/qzh2dp/da0lqx
title: 4-O-methyldavidigenin_2DNMRdata_CD3OD_400MHz.zip

description: This file contains the raw 2D NMR data (jeol and .jdx files), as well as the assigned 1H/13C NMR spectra for structure dereplication of (2',4'-dihydroxy-4-methoxydihydrochalcone Puchem ID: 578444). This compound is also called DMC-2 in the current data.
DOI: 10.7910/dvn/qzh2dp/dvvxm4
title: 4-O-methyldavidigenin_HIFSA_CD3OD_400MHz_DMSOd6_600MHz.zip

description: Contains the full spin analysis (HiFSA) of 4-O-methyldavidigenin (2'4'dihydroxy-4methoxydihydrochalcone, DMC-2, Pubchem ID:578444) in CD3OD/400MHz and in DMSOd6/600MHz, describing chemical shifts, coupling constants and line width for all observed 1H resonances.
DOI: 10.7910/dvn/qzh2dp/em8e4a
title: Fraction_2DNMRdata_CD3OD_400MHz.zip

description: This file contains the 1D/1H and 2D NMR data (HMBC and HSQC) of the knocked-out fraction containing both 4-O-methyldavidigenin (syn. DMC-2, pubchem ID: 578444) and 4'O-methyldavidigenin, (syn. DMC-1, pubchem ID: 2762958)
DOI: 10.7910/dvn/qzh2dp/fncgti
title: Elemicin_qHNMRdata_DMSOd6_400MHz.zip

description: contains the quantitative 1H NMR data of Elemicin (Pubchem ID 10248) acquired in DMSO-d6 at 400MHz, together with the spreadsheet for absolute determination of purity. The internal calibrant (IC) was dinitrobenzoic acid (1.15 mg in 3 mm NMR tube, TraceCERT Part#15639) for a quantity of elemicin= 3.70mg.
DOI: 10.7910/dvn/qzh2dp/lljzjs
title: Elemicin_2DNMRdata_CD3OD_400MHz.zip

description: contains the 2D raw NMR data ( jeol and .jdx files) of elemicin (PubChem CID 10248) together with assigned 1H/13C spectra in png format for structure dereplication
DOI: 10.7910/dvn/qzh2dp/mzw2eo
title: Elemicin_HiFSA_DMSOD6_CD3OD_400MHz.zip

description: Contains the 1H NMR spectrum of Elemicin acquired in DMSO-d6 and CD3OD at 400 MHz, as well as the full spin analysis detailing chemical shifts, coupling constants and line width for each spectrum.
DOI: 10.7910/dvn/qzh2dp/gzlapy
title: PMI5011_CE_KOE_RE_1HNMR_CD3OD_400Mhz.zip

description: Contains the 1H NMR spectra (Joel and jdx formats) of PMI-5011 crude extract (CE at 34.23 mg/mL in CD3OD, 400 MHz, quantity in NMR tube:6.85mg), knock-out extract (KOE without DMC1/2 at 34.44 mg/mL, 400 MHz, quantity in NMR tube: 6.88mg) and PMI reconstituted extract (RE at 33.75 mg/mL in CD3OD, 400 MHz, quantity in tube:6.75 mg).
DOI: 10.7910/dvn/qzh2dp/nq1gwc
title: 294_ArtemLSU_RawBiologicalData_2.xlsx

description: This spreadsheet contains the data pertaining to Figures 1, 4 and 5 of the manuscript
DOI: 10.5519/qd.p22nxz53
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (31413 records)
DOI: 10.25952/5dd1b81581d98
title: Yugul Mangi Faiya En Sisen Kelenda (Yugul Mangi Fire and Seasons Calendar)
title: Yugul Mangi Fire and Seasons Calendar

description: INDIGENOUS CULTURAL & INTELLECTUAL PROPERTY The language and information, including its visual representation, contained in this publication includes the traditional biocultural knowledge, cultural expression and references to biological resources (plants and animals) of the peoples of the Ngandi, Wubuy (Nunggubuyu), Ritharrŋu/Wagilak, Marra, Ngalakan, Alawa, Rembarrnga, Warndarrang and Roper River Kriol language groups. The information is shared by Elders for the purposes of knowledge preservation, general education and language maintenance.We ask that you respect our culture by not using the content out of context. If you use content from this seasonal calendar, please be respectful. We also encourage you to contact us to learn more about us and to create opportunities to learn more about us and our culture and history. <br> <br> Please note: Updates about this project can be found on the FaceBook page found in the "Other Links" field.
description: The 'Yugul Mangi Faiya En Sisen Kelenda' (Yugul Mangi Fire and Seasons Calendar) was developed by Indigenous Elders and Yugul Mangi Rangers in collaboration with non-Indigenous scientists, for the cross-cultural interpretation of savanna burning in the South East Arnhem Land (SEAL) Indigenous Protected Area (IPA), Northern Territory, Australia. The language and information, including its visual representation, contained in this publication includes the traditional biocultural knowledge, cultural expression and references to biological resources (plants and animals) of the peoples of the Ngandi, Wubuy (Nunggubuyu), Ritharrŋu/Wagilak, Marra, Ngalakan, Alawa, Rembarrnga, Warndarrang and Roper River Kriol language groups. The information was shared by Elders and rangers for the purposes of knowledge preservation, general education and language maintenance. Yugul Mangi Rangers are using Indigenous and western knowledge to manage fire for multiple purposes, including ecosystem restoration, cultural maintenance and greenhouse gas abatement, in SEAL IPA. The Yugul Mangi Fire and Seasons Calendar presents biocultural indicators- defined as predictable, obvious, seasonal events that may or may not be culturally significant- to guide fire management. In addition, the calendar has potential for application in regional fire management planning, improved understanding of savanna burning and inter-generational transfer of Indigenous Knowledge.
DOI: 10.5281/zenodo.3523583
title: 3D CMT catalogue of moderate size offshore earthquakes along the Nankai Trough

description: 3D CMT inversion solutions of moderate-size earthquakes along the Nankai Trough. The method and results are described in <strong>the submitted preprint</strong>. Analyzed periods: <strong>April 2004 to August 2019</strong> <strong>Included files</strong> YYYYMMDDHHMM_25-100s__CMT.dat<br> CMT solutions at all selected source grids for an earthquake that occurred at HH:MM on DDth MM YYYY (JST). Latitude, longitude, depth, VR [%], M<sub>rr</sub>, M<sub>tt</sub>, M<sub>ff</sub>, M<sub>rt</sub>, M<sub>rf</sub>, M<sub>tf</sub>, exponent (dyne-cm), Mo [Nm], strike1, dip1, rake1, strike2, dip2, rake2, Mw, index of source grid (internal parameter), and centroid time are listed. YYYYMMDDHHMM_25-100s__CMTparam.dat<br> Input directory (internal parameter), Green's function directory (internal parameter), the number of source grids, the number of used stations, station names used in CMT inversion, frequency range, initial epicenter and distance range are listed. catalog3DCMT_Takemura2019.csv <br> CSV format file of the 3D CMT catalog for earthquakes with Mw of 4.3-6.5 catalog3DCMT_Takemura2019_Mw7.2_7.5SEKii.csv<br> CSV format file of the 3D CMT catalog for the Mw 7.2 and 7.5 southeast off the Kii Peninsula earthquake occurred on 5th September 2004.
DOI: 10.5281/zenodo.3544618
title: Dataset of Middle Indic Past-Referring Verbs

description: Dataset containing 401 past-referring verb forms extracted from four texts in two Middle Indic languages, Pāli and Jaina-Māhārāṣṭrī.
DOI: 10.5281/zenodo.3544619
title: Dataset of Middle Indic Past-Referring Verbs

description: Dataset containing 401 past-referring verb forms extracted from four texts in two Middle Indic languages, Pāli and Jaina-Māhārāṣṭrī.
DOI: 10.5281/zenodo.3544491
title: Three-dimensional Stable Matching with Cyclic Preferences: Computational proofs log files

description: Output from SAT solvers in the computational proofs of the paper: "Three-dimensional Stable Matching with Cyclic Preferences" by Kanstantsin Pashkovich and Laurent Poirrier.
DOI: 10.5281/zenodo.3544492
title: Three-dimensional Stable Matching with Cyclic Preferences: Computational proofs log files

description: Output from SAT solvers in the computational proofs of the paper: "Three-dimensional Stable Matching with Cyclic Preferences" by Kanstantsin Pashkovich and Laurent Poirrier.
DOI: 10.5281/zenodo.3544654
title: Data produced for "Crop switching reduces agricultural losses from climate change in the United States by half"

description: This data archive includes all of the results from the models used to produce the paper "Crop switching reduces agricultural losses from climate change in the United States by half". It contains three main archives: 1. predictors.zp: The temperature and water stress indicators for each crop, along with county-level log-yields. Both the Bayesian and OLS models are fit to this data. Static covariates are available in us-bioclims-new.csv. 2. mcmc-outputs.zip: Each of the variables fit in the Bayesian model, for each MCMC draw from the posterior distribution. The contained directory includes for each crop versions with constant variance (-variance) and under cross-validation (-cv). The counties are ordered according to fips-usa.csv. 3. landuse.zip: Optimization model results. The results/ directory contains the optimization results for each set of assumptions presented in the appendix, applied to the average yield levels. The results-mc/ directory contains profit, yield, and optimization results for each draw of the MCMC independently.
DOI: 10.5281/zenodo.3544798
title: Supplementary File-SunZhiyuan

description: Supplementary File of geochemical characteristics of mineral assemblages for Yamansu deposit.
DOI: 10.5281/zenodo.3544797
title: Supplementary File-SunZhiyuan

description: Supplementary File of geochemical characteristics of mineral assemblages for Yamansu deposit.
DOI: 10.25345/c58950
title: MassIVE MSV000084591 - GNPS CIAO C18-LC-MS/MS Positive Polarity
title: Metabolite analysis of food, fecal and plasma samples, standard global foodomics ethanol extraction. Data were acquired using a Bruker Daltonics maXis Impact and C18 RP-UHPLC. Positive polarity acquisition of LC-MS/MS.
DOI: 10.5281/zenodo.3544631
title: fetal movement acceleration data

description: This dataset contains accelerometer-recorded fetal movement signals with 16 different pregnant women<br> The dataset contains signals from one accelerometer placed on the abdominal wall of the pregnant women. Note:<br> The file format is .mat, which is recognized by the Matlab software. <br> the "xxxxxx_bp" files contain the signals of the maternal perception push-button markers (the mother was required to press a push-button every time she felt one fetal movement), and the "xxxxxx_signal" files contain acceleration data from the 3 axes (x, y, and z).<br> Hardware settings: <br> accelerometer: ADXL355 from ANALOG DEVICES<br> Sampling frequency: 500Hz
DOI: 10.5281/zenodo.3543548
title: Models and Predictions for "The Proper Care and Feeding of CAMELS: How Limited Training Data Affects Streamflow Prediction"

description: <strong>Models and Predictions</strong> This dataset contains the trained XGBoost and EA-LSTM models and the models' predictions for the paper <em>The Proper Care and Feeding of CAMELS: How Limited Training Data Affects Streamflow Prediction</em>. For each input sequence length (10, 30, 100, 270*, 365*) and each combination of model (XGBoost, EA-LSTM), training years (3, 6, 9), number of basins (13, 26, 53, 265, 531), and seed (111-888), there are five folders. Each corresponds to a random basin sample (for 531 basins there's only one folder, since it's all basins).<br> In each folder, there are three files: \(\texttt{model.pkl}\) (XGBoost) or <em>\(\texttt{model_epoch30.pt}\)</em> (EA-LSTM), which stores the pickled trained model <em>\(\texttt{xgboost_seedNNN.p}\)</em> or <em>\(\texttt{ealstm_seedNNN.p}\)</em>, which stores a pickled dictionary that maps each basin to the DataFrame of predicted and actual daily streamflow. \(\texttt{attributes.db}\), which stores static catchment attributes needed for inference. In addition to each folder, there is a SLURM submission script called <em>\(\texttt{&lt;foldername&gt;.sbatch}\)</em> that was used to create and evaluate the model in the folder. * sequence lengths 270 and 365 only contain data for EA-LSTM.