cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2546l4
title: CCDC 2000045: Experimental Crystal Structure Determination

description: Related Article: Adesola Abimbola Adeleke, Md. Shahidul Islam, Olakunle Sanni, Chunderika Mocktar, Sizwe J. Zamisa, Bernard Omondi|2021|J.Inorg.Biochem.|214|111266|doi:10.1016/j.jinorgbio.2020.111266
DOI: 10.5517/ccdc.csd.cc2546p7
title: CCDC 2000048: Experimental Crystal Structure Determination

description: Related Article: Adesola Abimbola Adeleke, Md. Shahidul Islam, Olakunle Sanni, Chunderika Mocktar, Sizwe J. Zamisa, Bernard Omondi|2021|J.Inorg.Biochem.|214|111266|doi:10.1016/j.jinorgbio.2020.111266
DOI: 10.21258/1513528
title: Inventaire forestier national suisse - Tableau no 898072
DOI: 10.5517/ccdc.csd.cc2519sb
title: CCDC 1997261: Experimental Crystal Structure Determination

description: Related Article: Nian-Nian Wu, Ming-Ming Zhao, Sheng-Jun Liu, Bo Liu|2020|Wuji Huaxue Xuebao|36|2080|
DOI: 10.21258/1510816
title: Inventaire forestier national suisse - Tableau no 897111
DOI: 10.5517/ccdc.csd.cc260tnq
title: CCDC 2026583: Experimental Crystal Structure Determination

description: Related Article: Richard A. Manzano, Anthony F. Hill, Rosemary L. Georgelin|2020|Chem.Commun.|56|14597|doi:10.1039/D0CC06196D
DOI: 10.5517/ccdc.csd.cc2292p5
title: CCDC 1915356: Experimental Crystal Structure Determination

description: Related Article: Nicolás I. Neuman, Uta Albold, Eleonora Ferretti, Shubhadeep Chandra, Simon Steinhauer, Paul Rößner, Franc Meyer, Fabio Doctorovich, Santiago E. Vaillard, Biprajit Sarkar|2020|Inorg.Chem.|59|16622|doi:10.1021/acs.inorgchem.0c02550
DOI: 10.21258/1492451
title: Inventaire forestier national suisse - Tableau no 893055
DOI: 10.21258/1525879
title: Inventaire forestier national suisse - Tableau no 899009
DOI: 10.21258/1517032
title: Inventaire forestier national suisse - Tableau no 893422
DOI: 10.21227/teq5-e836
title: Optimal feature configuration for malware detection datasets

description: Datasets consiting of features extracted from API calls, network activity and Cuckoo signatures of 19994 public files of different types.
DOI: 10.21227/g1px-yt13
title: Optimal feature configuration for malware detection datasets

description: Datasets consiting of features extracted from API calls, network activity and Cuckoo signatures of 19994 public files of different types.
DOI: 10.21258/1518544
title: Inventaire forestier national suisse - Tableau no 891811
DOI: 10.21258/1519127
title: Inventaire forestier national suisse - Tableau no 902264
DOI: 10.21258/1522110
title: Inventaire forestier national suisse - Tableau no 891886
DOI: 10.5281/zenodo.4313205
title: RiceFloodIT: Water Management in the Italian Rice Paddies Estimated from MODIS data

description: This repository includes two datasets used in Ranghetti et al. (2018) to analyse the magnitude of a decreasing trend in the extent of submerged rice paddies during the rice-sowing period in the Italian rice district: methods used to generate these data from MODIS remote sensing imagery are described in this paper. <strong>ffavg.csv</strong>: this dataset includes values of yearly FF<sub>avg</sub> (averaged Flooding Fraction) at pixel level. Each record represent the FF<sub>avg</sub> value of a specific pixel in a specific year. <strong>x</strong> and <strong>y</strong> identifies the latitude and longitude of each record (in UTM32 coordinates); <strong>subdistrict</strong> represent the sub-district ID of each pixel ("A" to "G"); <strong>year</strong> is the year whose each record refers to; <strong>ff</strong> is the FFavg value (range 0-1); <strong>count</strong> is the number of MODIS images used to generate each FF<sub>avg</sub> aggregated value. <strong>ws.csv</strong>: this dataset includes values of WS (proportion of Water-Seeded rice surface) at sub-district and district levels. <strong>subdistrict</strong> represent the sub-district ID of each record ("A" to "G", plus "all" which identifies values aggregated at district level); <strong>year</strong> is the year whose each record refers to; <strong>ws</strong> is the WS value (range 0-1); <strong>count</strong> is the number of pixels used to generate each WS aggregated record. Current data version (2016.01) includes data used in Ranghetti et al. (2018): estimated values in the period 2000-2016. References: Ranghetti, Luigi, Elisa Cardarelli, Mirco Boschetti, Lorenzo Busetto, and Mauro Fasola. 2018. “Assessment of Water Management Changes in the Italian Rice Paddies from 2000 to 2016 Using Satellite Data: A Contribution to Agro-Ecological Studies.” <em>Remote Sensing</em> 10 (3). https://doi.org/10.3390/rs10030416.
description: {"references": ["Ranghetti, Luigi, Elisa Cardarelli, Mirco Boschetti, Lorenzo Busetto, and Mauro Fasola. 2018. \"Assessment of Water Management Changes in the Italian Rice Paddies from 2000 to 2016 Using Satellite Data: A Contribution to Agro-Ecological Studies.\" Remote Sensing 10 (3). https://doi.org/10.3390/rs10030416."]}
DOI: 10.21258/1514654
title: Inventaire forestier national suisse - Tableau no 898927
DOI: 10.21258/1518929
title: Inventaire forestier national suisse - Tableau no 891919
DOI: 10.21258/1499172
title: Inventaire forestier national suisse - Tableau no 898221
DOI: 10.21258/1481908
title: Inventaire forestier national suisse - Tableau no 891976
DOI: 10.21258/1479639
title: Inventaire forestier national suisse - Tableau no 899466
DOI: 10.21258/1484349
title: Inventaire forestier national suisse - Tableau no 896973
DOI: 10.21258/1490601
title: Inventaire forestier national suisse - Tableau no 898021
DOI: 10.21227/hdkw-q650
title: Non Linear Battery

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Energy Conversion".In this dataset, solar power harvested from Sun is collected in the lithium- ion battey bank.System is designed to meet single household needsUnscented Kalman Filter (UKF),
DOI: 10.21258/1496982
title: Inventaire forestier national suisse - Tableau no 897453
DOI: 10.21258/1485606
title: Inventaire forestier national suisse - Tableau no 897509
DOI: 10.21227/d33w-dj72
title: Non Linear Battery

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Energy Conversion".In this dataset, solar power harvested from Sun is collected in the lithium- ion battey bank.System is designed to meet single household needsUnscented Kalman Filter (UKF),
DOI: 10.21258/1523482
title: Inventaire forestier national suisse - Tableau no 898372
DOI: 10.6092/unibo/amsacta/6565
title: MADFORWATER. WP4 Field pilots for the adaptation and integration of technologies. Task4.3 Operation and optimization of the field pilots. Wastewater treatment performances and Irrigation/treated wastewater reuse performances. Municipal wastewater pilot. UMA-Tunisia

description: This dataset contains the data produced by UMA team in the framework of task 4.3 of MADFORWATER project. Two sets of data were generated during the first and the second periods of survey of the pilot to evaluate: (i) the Municipal Wastewater Treatment Pilot efficiency, and (ii) the impact of the Treated Municipal Wastewater (TMWW) reuse in agriculture. The first part of the data consists of quantitative survey results from monitoring the Pilot at different sampling points, including SP1: pilot plant inlet, sampling point after preliminary treatments in the main WWTP, SP2: outlet of the BOD oxidation section, SP3: outlet of the nitrification section and SP4: sample point after disinfection and secondary settler, constructed wetland (CW) inlet and SP5: sample after the constructed wetland. The monitored physicochemical parameters are: chemical oxygen demand (COD), Biochemical oxygen demand (BOD), Total Suspended Solids (TSS), the conductivity, the turbidity, Kjeldahl Nitrogen (NKj), nitrite (NO2), nitrate (NO3), ammonium (NH4), phosphate (PO4) and Total Phosphorous (TP), pH, Temperature and Dissolved Oxygen, E. coli. The second part of the data consist of the irrigation pilot reports on the performance of the Treated Municipal Wastewater (TMWW) reuse in agriculture. The supply of Plant Growth Promoting (PGP) bacteria through irrigation network was also investigated. A first-year corn field trial allowed the evaluation of the plant growth and crop production including roots and shoots fresh and dry weights, plant height, tassel length, plant and ear numbers, grain number, crop yield, crop biomass and 100-grain weight. The second-year field trial on wheat crop estimated the effect of TMWW and PGPB supply on shoot and spike lengths; root, shoot and spike weights; and wheat crop biomass. Data related to crop water productivity and soil microbiological quality are also reported for both crop types (Maize and Wheat).
DOI: 10.5519/qd.rmq0bnlr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21258/1504884
title: Inventaire forestier national suisse - Tableau no 899059
DOI: 10.21258/1494103
title: Inventaire forestier national suisse - Tableau no 897300
DOI: 10.21258/1509348
title: Inventaire forestier national suisse - Tableau no 898580
DOI: 10.21258/1519544
title: Inventaire forestier national suisse - Tableau no 897762
DOI: 10.21258/1493942
title: Inventaire forestier national suisse - Tableau no 898327
DOI: 10.21258/1481721
title: Inventaire forestier national suisse - Tableau no 893070
DOI: 10.21258/1526117
title: Inventaire forestier national suisse - Tableau no 891993
DOI: 10.21258/1511660
title: Inventaire forestier national suisse - Tableau no 891867
DOI: 10.21258/1520005
title: Inventaire forestier national suisse - Tableau no 891964
DOI: 10.21258/1480416
title: Inventaire forestier national suisse - Tableau no 897507
DOI: 10.21258/1528441
title: Inventaire forestier national suisse - Tableau no 893432
DOI: 10.21258/1501592
title: Inventaire forestier national suisse - Tableau no 892024
DOI: 10.21258/1505027
title: Inventaire forestier national suisse - Tableau no 891770
DOI: 10.21258/1505359
title: Inventaire forestier national suisse - Tableau no 898677
DOI: 10.21258/1504522
title: Inventaire forestier national suisse - Tableau no 897315
DOI: 10.21227/7xde-ha76
title: Non Linear Battery

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Energy Conversion".In this dataset, solar power harvested from Sun is collected in the lithium- ion battey bank.System is designed to meet single household needsUnscented Kalman Filter (UKF), The thermal model , non linear
DOI: 10.21258/1521425
title: Inventaire forestier national suisse - Tableau no 898472
DOI: 10.21258/1502908
title: Inventaire forestier national suisse - Tableau no 898351
DOI: 10.21258/1502368
title: Inventaire forestier national suisse - Tableau no 891966
DOI: 10.21258/1483340
title: Inventaire forestier national suisse - Tableau no 891926
DOI: 10.5281/zenodo.4313808
title: Discovery of protein modifications using differential tandem mass spectrometry proteomics

description: Recent studies have revealed diverse amino acid, post-translational and non-canonical modifications of proteins in diverse organisms and tissues. However, their unbiased detection and analysis remain hindered by technical limitations. Here, we present a spectral alignment method for the identification of protein modifications from high-resolution tandem peptide mass spectrometry. Termed SAMPEI for Spectral Alignment-based Modified PEptide Identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. Using synthetic standards and controlled chemical labeling experiments, we demonstrate specificity and sensitivity of SAMPEI for the discovery of protein modifications in complex cellular extracts. We then apply SAMPEI to mapping chemical protein modifications in differentiating mouse macrophage proteome. SAMPEI revealed diverse post-translational protein modifications, including distinct forms of cysteine itaconatylation which we experimentally validated. SAMPEI’s robust parameterization and versatility are expected to facilitate the discovery of biological modifications of diverse macromolecules. SAMPEI is implemented as a Python package and is available open-source from BioConda and GitHub (https://github.com/FenyoLab/SAMPEI). The dataset is divided in 3 set of files: 1. Agnostic_discovery_benchmarking.zip file contains analyses performed to establish relative sensitivity and specificity of agnostic PTM discovery (Figure 2, Figure S3). 2. Chemoproteomics_of_LPS_stimulated_macrophages.zip file contains RAW264.7 cell proteomics identification results from X!tandem and SAMPEI (Figure 3, Figures S4-S7). 3. Itaconate_adducts_validation.zip file contains analysis to confirm cystein adducts produced by itaconic acid (Figure 5, Figures S8-S12).
DOI: 10.5281/zenodo.3899479
title: Discovery of protein modifications using differential tandem mass spectrometry proteomics

description: Recent studies have revealed diverse amino acid, post-translational and non-canonical modifications of proteins in diverse organisms and tissues. However, their unbiased detection and analysis remain hindered by technical limitations. Here, we present a spectral alignment method for the identification of protein modifications from high-resolution tandem peptide mass spectrometry. Termed SAMPEI for Spectral Alignment-based Modified PEptide Identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. Using synthetic standards and controlled chemical labeling experiments, we demonstrate specificity and sensitivity of SAMPEI for the discovery of protein modifications in complex cellular extracts. We then apply SAMPEI to mapping chemical protein modifications in differentiating mouse macrophage proteome. SAMPEI revealed diverse post-translational protein modifications, including distinct forms of cysteine itaconatylation which we experimentally validated. SAMPEI’s robust parameterization and versatility are expected to facilitate the discovery of biological modifications of diverse macromolecules. SAMPEI is implemented as a Python package and is available open-source from BioConda and GitHub (https://github.com/FenyoLab/SAMPEI). The dataset is divided in 3 set of files: 1. Agnostic_discovery_benchmarking.zip file contains analyses performed to establish relative sensitivity and specificity of agnostic PTM discovery (Figure 2, Figure S3). 2. Chemoproteomics_of_LPS_stimulated_macrophages.zip file contains RAW264.7 cell proteomics identification results from X!tandem and SAMPEI (Figure 3, Figures S4-S7). 3. Itaconate_adducts_validation.zip file contains analysis to confirm cystein adducts produced by itaconic acid (Figure 5, Figures S8-S12).
DOI: 10.21258/1499689
title: Inventaire forestier national suisse - Tableau no 897906
DOI: 10.21258/1525345
title: Inventaire forestier national suisse - Tableau no 891862
DOI: 10.21258/1485518
title: Inventaire forestier national suisse - Tableau no 902168
DOI: 10.21258/1498512
title: Inventaire forestier national suisse - Tableau no 892939
DOI: 10.21258/1528447
title: Inventaire forestier national suisse - Tableau no 897726
DOI: 10.21258/1485694
title: Inventaire forestier national suisse - Tableau no 897979
DOI: 10.21258/1484091
title: Inventaire forestier national suisse - Tableau no 902201
DOI: 10.21258/1502923
title: Inventaire forestier national suisse - Tableau no 902260
DOI: 10.21258/1518071
title: Inventaire forestier national suisse - Tableau no 897418
DOI: 10.21258/1508646
title: Inventaire forestier national suisse - Tableau no 897331
DOI: 10.21258/1505596
title: Inventaire forestier national suisse - Tableau no 897869
DOI: 10.21258/1527077
title: Inventaire forestier national suisse - Tableau no 891734
DOI: 10.21258/1507498
title: Inventaire forestier national suisse - Tableau no 899173
DOI: 10.21258/1481805
title: Inventaire forestier national suisse - Tableau no 891827
DOI: 10.5281/zenodo.4313524
title: Slab transport of fluids to deep focus earthquake depths - thermal modeling constraints and evidence from diamonds

description: This data set contains earthquake data and thermal models of subduction zones used in Shirey, S. B., Wagner, L. S., Walter, M. J., Pearson, D. G., & van Keken, P. E., "Slab transport of fluids to deep focus earthquake depths - thermal modeling constraints and evidence from diamonds", submitted to AGU Advances. There are four zip files:<br> 1) Events.zip contains the earthquake location data;<br> 2) PTeq.zip contains the estimated pressure and temperature in the EQ locations as projected onto slab top and Moho<br> 3) ThermalModels_vtu.zip contains the temperature on the full computational grid<br> 4) ThermalModels.zip contains the temperature along the slab top and Moho for each subduction zone<br> <br> See the README files for information on the data formats.
DOI: 10.21258/1500833
title: Inventaire forestier national suisse - Tableau no 896994
DOI: 10.5281/zenodo.4313830
title: Numerical model code, input files and output data for publication ``Mixing and Transformation in a Deep Western Boundary Current: a case study''

description: Contains numerical model data (code, input files, selected output) to supplement publication ``Mixing and Transformation in a Deep Western Boundary current'', by Spingys and co-authors. All umerical model data, including any errors, is the responsibility of Sonya Legg. This data set will allow reproduction of simulations used in the above-referenced paper.
description: Funded by National Science Foundation grant Collaborative research Dynamics of the Orkney Passage Outflow OCE-1536453
DOI: 10.21227/r9ap-mk26
title: Onboard Exoskeleton Data During User Intent Changes

description: This folder contains the onboard sensor measurements for the EksoGT robotic exoskeleton during experiments with three able-bodied individuals and three non-able-bodied individuals with a spinal cord injury. The data is divided into .mat files by the trial. All able-bodied subjects completed three repetitions of each commanded intent change (Speed Up, Slow Down, and No Change) for each trial set. Trial sets were completed in Adaptive mode with a walker, Adaptive mode with crutches, Free mode with a walker, and Free mode with crutches for a total of 36 trials for every able-bodied individual. Since non-able-bodied subjects were not able to walk in Free mode, they only completed Adaptive mode trials for a total of 18 trials per subject.
DOI: 10.21227/zx68-fc30
title: Onboard Exoskeleton Data During User Intent Changes

description: This folder contains the onboard sensor measurements for the EksoGT robotic exoskeleton during experiments with three able-bodied individuals and three non-able-bodied individuals with a spinal cord injury. The data is divided into .mat files by the trial. All able-bodied subjects completed three repetitions of each commanded intent change (Speed Up, Slow Down, and No Change) for each trial set. Trial sets were completed in Adaptive mode with a walker, Adaptive mode with crutches, Free mode with a walker, and Free mode with crutches for a total of 36 trials for every able-bodied individual. Since non-able-bodied subjects were not able to walk in Free mode, they only completed Adaptive mode trials for a total of 18 trials per subject.
DOI: 10.5281/zenodo.4313829
title: Numerical model code, input files and output data for publication ``Mixing and Transformation in a Deep Western Boundary Current: a case study''

description: Contains numerical model data (code, input files, selected output) to supplement publication ``Mixing and Transformation in a Deep Western Boundary current'', by Spingys and co-authors. All umerical model data, including any errors, is the responsibility of Sonya Legg. This data set will allow reproduction of simulations used in the above-referenced paper.
description: Funded by National Science Foundation grant Collaborative research Dynamics of the Orkney Passage Outflow OCE-1536453
DOI: 10.21258/1485260
title: Inventaire forestier national suisse - Tableau no 892944
DOI: 10.21258/1497074
title: Inventaire forestier national suisse - Tableau no 891961
DOI: 10.21258/1488167
title: Inventaire forestier national suisse - Tableau no 893446
DOI: 10.21258/1522116
title: Inventaire forestier national suisse - Tableau no 898680
DOI: 10.21258/1528394
title: Inventaire forestier national suisse - Tableau no 899608
DOI: 10.21258/1516553
title: Inventaire forestier national suisse - Tableau no 898571
DOI: 10.21258/1481951
title: Inventaire forestier national suisse - Tableau no 891983
DOI: 10.21258/1499854
title: Inventaire forestier national suisse - Tableau no 899378
DOI: 10.21258/1502820
title: Inventaire forestier national suisse - Tableau no 891965
DOI: 10.21258/1499513
title: Inventaire forestier national suisse - Tableau no 896999
DOI: 10.5519/qd.nlsyposu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (236 records)
DOI: 10.21258/1486738
title: Inventaire forestier national suisse - Tableau no 892989
DOI: 10.21258/1482066
title: Inventaire forestier national suisse - Tableau no 891740
DOI: 10.21258/1509505
title: Inventaire forestier national suisse - Tableau no 892035
DOI: 10.25955/5f7958be1006c
title: Challenges for ECRs in STEMM - On-line survey data set "Collection 2". (Some project data subject to embargo has been removed from this data set)

description: On-line survey data collected in LimeSurvey and exported into excel. Second worksheet provides explanation of numbering.77 questions. Data for Q16 has been removed as have some potential identifiers from other questions. See second worksheet for explanation<br>Eligibility was determined by answers to first three questions. Participants were eligible if up to 10 years postdoctoral and working in a research institute or university in Australia. If ineligible they were terminated from the study.
DOI: 10.21258/1481753
title: Inventaire forestier national suisse - Tableau no 902166
DOI: 10.21258/1493055
title: Inventaire forestier national suisse - Tableau no 899082
DOI: 10.21258/1503746
title: Inventaire forestier national suisse - Tableau no 898175
DOI: 10.6084/m9.figshare.13356197
title: Datasets for the impacts of global solid biofuel stove emissions on air quality and human health

description: We quantify the impacts of global solid biofuel stove emissions on air quality and human health, by employing the Community Earth System Model (CESM) CAM5-Chem (the Community Atmosphere Model coupled with Chemistry) model at the horizontal resolution of 0.9 degree latitude by 1.25 degrees longitude. We used the Global Exposure Mortality Model from Burnett et al. (2018) to quantify the PM2.5-induced premature deaths associated with noncommunicable diseases (NCDs) and lower respiratory infections (LRIs). We followed Turner et al. (2016) to estimate the ozone-induced premature deaths associated with chronic obstructive pulmonary disease (COPD).
DOI: 10.6084/m9.figshare.13356197.v1
title: Datasets for the impacts of global solid biofuel stove emissions on air quality and human health

description: We quantify the impacts of global solid biofuel stove emissions on air quality and human health, by employing the Community Earth System Model (CESM) CAM5-Chem (the Community Atmosphere Model coupled with Chemistry) model at the horizontal resolution of 0.9 degree latitude by 1.25 degrees longitude. We used the Global Exposure Mortality Model from Burnett et al. (2018) to quantify the PM2.5-induced premature deaths associated with noncommunicable diseases (NCDs) and lower respiratory infections (LRIs). We followed Turner et al. (2016) to estimate the ozone-induced premature deaths associated with chronic obstructive pulmonary disease (COPD).
DOI: 10.21258/1512464
title: Inventaire forestier national suisse - Tableau no 897386
DOI: 10.21258/1489913
title: Inventaire forestier national suisse - Tableau no 897433