cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7497442
title: Paired omics Data Platform projects

description: The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/. The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
DOI: 10.5281/zenodo.7497444
title: naso_minor_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7497443
title: naso_minor_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7497452
title: EbrahimBidokh/DatasetTest: OneTestforData

description: Test
DOI: 10.5281/zenodo.7497451
title: EbrahimBidokh/DatasetTest: OneTestforData

description: Test
DOI: 10.21415/xhea-e668
title: FluencyBank English IISRP-new Corpus
DOI: 10.21223/huhfxn/t89aof
title: 001_Rwanda_Potato_Production_Rapid.xlsx
DOI: 10.21223/huhfxn/bjtcpv
title: 003_fertilizers_of_Rwanda_q010_group_q011_group_part_3_s4.tab
DOI: 10.21223/huhfxn/ruam7s
title: 004_fertilizer_of_Rwanda_q010_group_q011_group_part_3_s5.tab
DOI: 10.21223/huhfxn/tfpaae
title: 005_fertilizer_of_Rwanda_q010_group_q011_group_part_3_s6.tab
DOI: 10.21223/huhfxn/vqfurg
title: 006_fertilizer_of_Rwanda_q010_group_q011_group_part_3_s8.tab
DOI: 10.21223/huhfxn/wvsid8
title: 007_Data_dictionary_of_Rwanda.tab
DOI: 10.21223/huhfxn
title: Dataset for: Rapid appraisal of potato production practices in Rwanda

description: Assessment of the current status of agronomy practices in potato cultivation in Rwanda through a farm survey with 288 households. Five districts in Rwanda were selected for the study based on the total area under potato cultivation: Nyabihu, Rubavu, Musanze, Burera and Gicumbi. Most of the sectors in those districts are located in two major agroecological zones: the Cone and High Volcanic Plains and the Buberuka Highlands.
DOI: 10.21223/huhfxn/1mxpls
title: Rwanda_Potato_Production_Rapid_Appraisal_V7.tab

description: ODK documentation.
DOI: 10.21223/yacjgv/4kc437
title: Scaling_AKILIMO_yield_data.tab

description: :unav
DOI: 10.21223/yacjgv/7clbon
title: DataDictionary_SA-VAP-1.tab

description: :unav
DOI: 10.21223/yacjgv
title: Dataset for: Fertilizer response trials to calibrate and cross-validate AKILIMO for potato in Rwanda

description: Fertilizer response trials to compare the performance of 5 ‘best-bet’ fertilizer recommendations with the current blanket recommendation in multiple locations and farms. The best-bets differ in N:P:K ratios and rates and are designed based on assumptions on how fertilizer responses may vary across locations and fields. The five treatments are compared in each site with only the reference treatment replicated. Tuber yield as well as secondary agronomic data were assessed. Data were collected using the ODK-based digital data collection tool 'Smart Agronomy Data Management System (SAnDMan).
DOI: 10.34740/kaggle/dsv/4794338
title: arXiv Dataset
DOI: 10.5281/zenodo.5522876
title: Extra-pair paternity in the Saffron Finch is related to song peak frequency and body condition

description: dataset of article<br> María Juliana Benitez Saldivar, Carolina Isabel Miño & Viviana Massoni (2022)<br> Extra-pair paternity in the Saffron Finch is related to song peak frequency and body condition.<br> Emu-Austral Ornithology 122:3-4, 226-237
DOI: 10.5281/zenodo.5522875
title: Extra-pair paternity in the Saffron Finch is related to song peak frequency and body condition

description: dataset of article<br> María Juliana Benitez Saldivar, Carolina Isabel Miño & Viviana Massoni (2022)<br> Extra-pair paternity in the Saffron Finch is related to song peak frequency and body condition.<br> Emu-Austral Ornithology 122:3-4, 226-237
DOI: 10.34740/kaggle/dsv/4794354
title: BBC News
DOI: 10.34740/kaggle/dsv/4794383
title: OntoUML/UFO Catalog
DOI: 10.5281/zenodo.7486607
title: MUSES Leaf Area Index (LAI) 8-Day Global 500m SIN Grid in 2019

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 500m spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2019. Please <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2018</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2019 Spatial Resolution: 500m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7486606
title: MUSES Leaf Area Index (LAI) 8-Day Global 500m SIN Grid in 2019

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 500m spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2019. Please <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2018</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2019 Spatial Resolution: 500m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.6084/m9.figshare.21737303.v2
title: Continuous odor profile monitoring to study olfactory navigation in small animals

description: Dataset for analysis and demo code for publication: "Continuous odor profile monitoring to study olfactory navigation in small animals" Chen et al. 2022
DOI: 10.34740/kaggle/dsv/4794453
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.6084/m9.figshare.21801343.v1
title: DATASET_Cobly Ze_Final.xlsx

description: This data describes different cattle management farming systems in Benin and how they utilize farm resources (protein and Energy) for milk and meat production. Different breeds RUE have been described.
DOI: 10.34740/kaggle/dsv/4794514
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.5519/qd.1v33vhhu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21227/8wkq-3z53
title: Student-AI question co-creation dataset

description: This dataset includes AI questions,  students' questions and their reading comprehension test results.   It contains four sheets, including student and AI questions in treatement group, student questions in control group, student reading comprehension test results in treatment group and student reading comprehension test results in control group.
DOI: 10.5066/p92jgacb
title: Status and Trends of North American Bats Summer Occupancy Analysis 2010-2019 Data Release

description: This data release contains the results from the North American Bat Monitoring Program's report titled 'Status and Trends of North American Bats Summer Occupancy Analysis 2010-2019'. Specifically, these data include tabular data and geospatial data for the species-specific results related to the status and trends of 12 bat species at multiple spatial scales including: 10 km x 10 km grid cells, state/province/territories, and range-wide across the geographic extent of monitoring data for each species (i.e., across 'modeled species ranges'). They were produced using an analytical pipeline supported by web-based infrastructure for integrating continental scale bat monitoring data (stationary acoustic, mobile acoustic, and capture records) to assess the summer (May 1-Aug 31) population status and trends of North American bat species across their modeled ranges at multiple spatial scales. An occupancy model was estimated for each species while accounting for biases from false positives (i.e., misclassification error) and false negatives (i.e., detectability). Then, using the estimated relationships between grid cell occupancy probabilities for each species with ecological and spatiotemporal predictors, maps of species occupancy probabilities were produced for each year of sampling, for each NABat grid cell in each species' 'modeled range'. Finally, status and trends indicators across larger spatial extents (e.g. range-wide, state/territory/province) were derived based on the grid cell level occupancy probabilities over time. A tabular file is included for each species detailing the occupancy probability predictions of each 10 km x 10 km grid cell in each modeled species range, with predictions (means, and the 95% credible intervals) for every year of monitoring data. Next, a geospatial layer is provided that contains the merged NABat Master Sampling Grid (i.e., the union of sampling frames for Continental United States and Canada + Alaska ) with a unique grid cell identifier ('grts') to allow joining the tabular estimates to the NABat grid cells. This geospatial layer can assist grid cell level visualizations of species occupancy probability distributions over time, and also includes grid cell level occupancy covariates used in these analyses. Additional results include a tabular file that contains the range-wide and regional estimates of species status and trend including: the mean grid cell occupancy probability across each larger spatial extent (e.g., modeled species range, states/territories/provinces) for every species and year of species monitoring data analyzed. Two additional trend indicators for species occupancy (the average annual change rate, and the total change rate) were included in the same file, across several time frames including 3 years of change (and 4 years of monitoring data from 2016 - 2019) and where possible, also over 7 years of change (8 years of monitoring data from 2012 - 2019) and 9 years of change (10 years of monitoring data from 2010 - 2019).
DOI: 10.6084/m9.figshare.21793196.v2
title: code and data

description: code and data for special source-sink zones detection
DOI: 10.21227/ks86-ag57
title: LSTM based Model Predictive Temperature Controller

description: In this project, an LSTM-based Model Predictive Controller (LSTM-MPC) is designed to have a highly efficient control on the temperature. The resulted dataset is attached, for further considerations.
DOI: 10.5517/ccdc.csd.cc24qpyj
title: CCDC 1988028: Experimental Crystal Structure Determination

description: Related Article: Xu Ying, Zhenhua Zhu, Chen Zhao, Yi-Quan Zhang, Jinkui Tang|2022|Inorg.Chem.|61|20547|doi:10.1021/acs.inorgchem.2c03375
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c3whw
title: CCDC 2178478: Experimental Crystal Structure Determination

description: Related Article: Shi-Xin Nie, Teng-Yu Huang, Hao Guo, Li-Xia Wang, Jie Cui, Jun-Feng Xiang, Yu-Fei Ao, De-Xian Wang, Qi-Qiang Wang|2022|J.Am.Chem.Soc.|144|22884|doi:10.1021/jacs.2c12202
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c3wjx
title: CCDC 2178479: Experimental Crystal Structure Determination

description: Related Article: Shi-Xin Nie, Teng-Yu Huang, Hao Guo, Li-Xia Wang, Jie Cui, Jun-Feng Xiang, Yu-Fei Ao, De-Xian Wang, Qi-Qiang Wang|2022|J.Am.Chem.Soc.|144|22884|doi:10.1021/jacs.2c12202
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cl0mm
title: CCDC 2192060: Experimental Crystal Structure Determination

description: Related Article: Haiting Ji, Dengkai Lin, Lanzhu Tai, Xinyu Li, Yuxuan Shi, Qiaorong Han, Liang-An Chen|2022|J.Am.Chem.Soc.|144|23019|doi:10.1021/jacs.2c10072
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2czsjp
title: CCDC 2204333: Experimental Crystal Structure Determination

description: Related Article: Yun-Lan Li, Xing-Lin Lu, Zhong-Hong Zhu, Hai-Ling Wang, Fu-Pei Liang, Hua-Hong Zou|2022|Inorg.Chem.|61|20513|doi:10.1021/acs.inorgchem.2c03238
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d56zs
title: CCDC 2209555: Experimental Crystal Structure Determination

description: Related Article: Kun Cui, Yan-Lin Li, Gongqiang Li, Ji-Bao Xia|2022|J.Am.Chem.Soc.|144|23001|doi:10.1021/jacs.2c10021
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d6y7t
title: CCDC 2211206: Experimental Crystal Structure Determination

description: Related Article: Yu-Zhen Zhang, Meng-Meng Xu, Xu-Ge Si, Jun-Li Hou, Quan Cai|2022|J.Am.Chem.Soc.|144|22858|doi:10.1021/jacs.2c10606
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dfmm3
title: CCDC 2217635: Experimental Crystal Structure Determination

description: Related Article: Shuxian Guo, Xuehua Dong, Lindong Luan, Hongmei Zeng, Guohong Zou, Zhien Lin|2022|Inorg.Chem.|61|20243|doi:10.1021/acs.inorgchem.2c03905
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7497543
title: 4-component relativistic Hamiltonian with effective QED Potentials for molecular calculations: Dataset

description: This dataset collects the unprocessed (= outputs from calculations) results discussed in the paper titled "4-component relativistic Hamiltonian with effective QED Potentials for molecular calculations", by Ayaki Sunaga, Maen Salman and Trond Saue.
DOI: 10.5281/zenodo.6874727
title: 4-component relativistic Hamiltonian with effective QED Potentials for molecular calculations: Dataset

description: This dataset collects the unprocessed (= outputs from calculations) results discussed in the paper titled "4-component relativistic Hamiltonian with effective QED Potentials for molecular calculations", by Ayaki Sunaga, Maen Salman and Trond Saue.
DOI: 10.25919/nw81-wy25
title: Parkes observations for project P971 semester 2022OCTS_02

description: We propose further timing observations of the relativistic pulsar - white-dwarf binary, PSR J1141$-$6545. This unique system offers access to a wide range of physics, from relativistic phenomena through pulsar emission cone studies, to the structure and distribution of interstellar plasma along our line-of-sight. The analysis of existing data has already revealed the first detection of Lense-Thirring precession in a binary star system, and hinted at complex emission beam structure probed via geodetic precession. Further timing of this system for the next few years is needed for studies of these effects at higher precision.
DOI: 10.25919/wqxj-3n91
title: Parkes observations for project P1173 semester 2022OCTS_01

description: Spider pulsar systems are compact binary pulsars with low-mass companions in tight orbits, where the primary pulsar is ablating the secondary through the output of high-energy radiation and pulsar wind due to proximity. These systems present an interesting opportunity to probe the mechanisms related to the destruction of these low-mass bodies in the radio regime, as debris surrounding the ablated secondary companion causes the pulsar emission to propagate and scatter as it moves through it, along our line of sight - revealing details of the complex, turbulent structure of this region. Recent studies have shown that the eclipsing region can cause pulsar signals to scatter, revealing small-scale structure of the turbulent field, as well as a strong variation in the pulsar’s polarsiation, rotation measure and dispersion measure. Under this proposal, we wish to study two known spider pulsars for their full orbit with the Parkes UWL capability – which has not been achieved by any other telescope. This will give us the opportunity to analyse he eclipsing effects of these systems.
DOI: 10.5281/zenodo.6339977
title: Spectroscopic and Electric Properties of the TaO$^+$ Molecule Ion for the Search of New Physics: A Platform for Identification and State Control: Dataset

description: This dataset collects the unprocessed (= outputs from calculations) results discussed in the paper titled "Spectroscopic and Electric Properties of the TaO<sup>+</sup> Molecule Ion for the Search of New Physics: A Platform for Identification and State Control", by Ayaki Sunaga and Timo Fleig.
DOI: 10.5281/zenodo.6339976
title: Spectroscopic and Electric Properties of the TaO$^+$ Molecule Ion for the Search of New Physics: A Platform for Identification and State Control: Dataset

description: This dataset collects the unprocessed (= outputs from calculations) results discussed in the paper titled "Spectroscopic and Electric Properties of the TaO<sup>+</sup> Molecule Ion for the Search of New Physics: A Platform for Identification and State Control", by Ayaki Sunaga and Timo Fleig.
DOI: 10.5517/ccdc.csd.cc2czscj
title: CCDC 2204328: Experimental Crystal Structure Determination

description: Related Article: Yun-Lan Li, Xing-Lin Lu, Zhong-Hong Zhu, Hai-Ling Wang, Fu-Pei Liang, Hua-Hong Zou|2022|Inorg.Chem.|61|20513|doi:10.1021/acs.inorgchem.2c03238
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.