cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25850/nioz/7b.b.w/jpbjt2
title: 12Sfish_20180320_aligned.fa
DOI: 10.25850/nioz/7b.b.w/pjryt2
title: 12Sfish_20180320_id_to_tax.map
DOI: 10.25850/nioz/7b.b.w/t1ux7i
title: DescriptionOfFiles.txt
DOI: 10.25850/nioz/7b.b.x/qofu4h
title: Weiss et al. Table 2.csv
DOI: 10.5519/qd.1dlbiluj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (786578 records)
DOI: 10.5519/qd.rxak10e0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (349 records)
DOI: 10.25850/nioz/7b.b.w/fgxqkl
title: Mapping_NIOZ_47.txt
DOI: 10.25850/nioz/7b.b.w/pegvaf
title: init_sample.sh
DOI: 10.25850/nioz/7b.b.w/rw7dpi
title: Snakefile
DOI: 10.25850/nioz/7b.b.w/s7qktr
title: utils.R
DOI: 10.25850/nioz/7b.b.w/wnsr2v
title: Mapping_NIOZ_51.txt
DOI: 10.5286/isis.e.rb1970109-1
title: Spin dynamics in the new spin ice candidate Nd2Pt2O7

description: Most of Nd-pyrochlores show all-in-all-out long-ranged order ground state at low temperatures. Nd2Zr2O7 reveals magnetic fragmentation in the spin ice state, and its antiferromagnetic order is proposed to be induced by the monopole crystallization [1]. Recently unconventional slow spin dynamics are reported in the paramagnetic state of pyrochlore insulators Nd2Sn2O7 [2] and Nd2Zr2O7 [3], which is suspected coming from the spin ice state in the compounds. We have successfully synthesized Nd2Pt2O7 polycrystalline sample which exhibits an antiferromagnetic order at 1.4 K in the heat capacity measurements. Ferromagnetic signature is observed in the magnetization measurements, suggesting probably spin fragmentation in the compound. The high ordering temperature and ferromagnetic components in Nd2Pt2O7 suggests a strong mechanism of the monopole crystallization.
DOI: 10.25345/c5w40z
title: MassIVE MSV000084930 - GC_GNPS_Imperial_Tutorial_GC_1
title: GNPS_Tutorial Test Dataset - 20 GC-MS Files from ICL Tutorial
DOI: 10.5281/zenodo.3643209
title: Resilience of food sufficiency to future climate and societal changes

description: Producing sufficient food to meet rising demand is a precondition to food security. While governance, trade, and social justice are critical dimensions of food access and thus food security, change in caloric sufficiency - adequate caloric supply to meet total demand - is a critical concern for resilience of the global food system in the face of climate and societal changes. Here we show, across five scenarios and assuming crop mix adaptation to new climate conditions, that global caloric sufficiency is likely to decrease, despite increased production, because those gains are outweighed by population growth. At a national scale, caloric sufficiency decreases consistently for most countries, and most countries facing hunger today remain vulnerable. Our results suggest that adapting crop mixes to new climate conditions will likely be insufficient to cope with global changes by 2050. Readme about this dataset can be found here: https://github.com/charlottegiseleweil/ResilienceOfNutrition<br> <br> /!\ Use Version 2. Version 1 is outdated!
DOI: 10.5281/zenodo.3648268
title: Jira Monitoring Data September 2018

description: <pre>This is the fourth of four datasets that our research "Comparing Static and Dynamic Weighted Software Coupling Metrics" published in https://doi.org/10.1007/978-3-030-30275-7_22 is based on. This dataset contains the monitoring data from our installation of Atlassian Jira, from September 2018.</pre>
DOI: 10.5281/zenodo.3648269
title: Jira Monitoring Data September 2018

description: <pre>This is the fourth of four datasets that our research "Comparing Static and Dynamic Weighted Software Coupling Metrics" published in https://doi.org/10.1007/978-3-030-30275-7_22 is based on. This dataset contains the monitoring data from our installation of Atlassian Jira, from September 2018.</pre>
DOI: 10.17632/3n5ztwx66m.1
title: A new live-attenuated polio vaccine constructed by rational design improves safety by preventing reversion to virulence

description: Variant calls for the in vivo and in vitro studies of virus diversity and genetic stability reported in the manuscript, "A new live-attenuated polio vaccine constructed by rational design improves safety by preventing reversion to virulence", by Yeh, et al.
DOI: 10.17632/mtb6j4rxc4.2
title: The Most Cited Articles and Authors in Dermatology: A Bibliometric analysis from 1974-2019.

description: Table 1. The 50 highest cited articles in dermatology from 1974-2019. Table 2. The 50 highest cited authors in dermatology from 1974-2019. Table 3. The most cited author in Dermatology per Google Scholar.
DOI: 10.17632/w7yff8r97s.1
title: Water ice clouds particles sizes vertical profiles from ACS-MIR SO observations before and during MY34 GDE

description: The `ACS-MIR_data_transmission_opacity` folder contains the transmission and retrieved opacity (kext in km⁻¹) from the ACS-MIR observations as FITS files. For each one, the first HDU header contains informations about the observation and the structure of the data file. The `retrieved_particles_sizes` folder contains the retrieved vertical profiles of particles sizes with the associated uncertainties, with one text file (.dat) per observation.
DOI: 10.17632/chny9cs4gw.1
title: Functional Connectivity Dynamics and Resting-State Networks – Autism Subjects with Severe to Mild Restrictive, Repetitive and Stereotyped Behaviors

description: See 'Raw Data Description.pdf'
DOI: 10.17632/m7rdpx5b3z.5
title: Data for: Oceans’ uptake of anthropogenic CO2 may be slowing since 2000: New insights from carbon isotopes in coral skeletons

description: The dataset includes all data for "Oceans’ uptake of anthropogenic CO2 may be slowing since 2000: New insights from carbon isotopes in coral skeletons" by Deng et al..
DOI: 10.17632/m92z398z9m.2
title: Restricted, Repetitive, and Stereotypical Patterns of Behavior in Autism – an fMRI Perspective

description: See file 'Raw Data Description.pdf'.
DOI: 10.17632/nndft7shbc.1
title: Morelia Tanker Water Market and Business Customers

description: The purpose of the study backed up through this dataset is to conduct a market analysis on the role of businesses in the performance of the private tanker water market of Morelia, Mexico. Specifically, this study examines the different supply chains that deliver tanker water to business premises to understand the role of businesses in the formation of informal water markets and the nature of competition between formal and informal supply chains that serve them. In all, it contributes to discussions on the operations and competition within informal markets (i.e., market structure, vendor organization, price setting, customer characteristics and profitability of private water tankers, which will help inform policies governing informal water markets in the supply and demand value chains. This study espoused a mixed method approach using both qualitative and quantitative techniques to collate data from a cross-section of PWT stakeholders (water source managers, tanker drivers and operators, business customers and regulators alike) in Morelia, Mexico. Combining both approaches provided an avenue to achieve a more robust and comprehensive meaning to the research findings. This is because the use of the two designs acts as a check and balance against bias and generalization of results. This also afforded the study to use and collect data through several collection methods to ensure enough depth and breadth of the information on supply chains and business customers in the private tanker water market. The study was conducted in the city of Morelia in Mexico. The city with 784,776 inhabitants was carefully chosen as a field site because of the intense market activity of water tankers and its manageable size. In Morelia, on average, about 200 tankers deliver water daily to households and businesses alike within an area of 78 km2.. Given the complexity of PWT markets, a multistage sampling approach was adopted for this study. The first process was made up of identifying and selecting the most relevant water sources from which water tankers source their water. The relative importance of each source, in terms of water sold to the market, was used as the basis in selecting the respective number of interviews at each water source. Study participants were recruited using the purposive and the snowballing techniques. Using this technique, all in all, 27 truck drivers were interviewed from all water sources using questionnaires designed to include core issues regarding total sales to businesses and frequency of supply and financial indicators. Drivers were interviewed during rides to deliver tanker water to business customers. Seven water source managers were also interviewed using semi-structured interviews. Interviews were mainly conducted at the water source but in an area devoid of any third-party interference such as respective offices. Also, using both qualitative in-depth guides and questionnaires, thirty business customers were interviewed.
DOI: 10.17632/nndft7shbc.2
title: Morelia Tanker Water Market and Business Customers

description: The purpose of the study backed up through this dataset is to conduct a market analysis on the role of businesses in the performance of the private tanker water market of Morelia, Mexico. Specifically, this study examines the different supply chains that deliver tanker water to business premises to understand the role of businesses in the formation of informal water markets and the nature of competition between formal and informal supply chains that serve them. In all, it contributes to discussions on the operations and competition within informal markets (i.e., market structure, vendor organization, price setting, customer characteristics and profitability of private water tankers, which will help inform policies governing informal water markets in the supply and demand value chains. This study espoused a mixed method approach using both qualitative and quantitative techniques to collate data from a cross-section of PWT stakeholders (water source managers, tanker drivers and operators, business customers and regulators alike) in Morelia, Mexico. Combining both approaches provided an avenue to achieve a more robust and comprehensive meaning to the research findings. This is because the use of the two designs acts as a check and balance against bias and generalization of results. This also afforded the study to use and collect data through several collection methods to ensure enough depth and breadth of the information on supply chains and business customers in the private tanker water market. The study was conducted in the city of Morelia in Mexico. The city with 784,776 inhabitants was carefully chosen as a field site because of the intense market activity of water tankers and its manageable size. In Morelia, on average, about 200 tankers deliver water daily to households and businesses alike within an area of 78 km2.. Given the complexity of PWT markets, a multistage sampling approach was adopted for this study. The first process was made up of identifying and selecting the most relevant water sources from which water tankers source their water. The relative importance of each source, in terms of water sold to the market, was used as the basis in selecting the respective number of interviews at each water source. Study participants were recruited using the purposive and the snowballing techniques. Using this technique, all in all, 27 truck drivers were interviewed from all water sources using questionnaires designed to include core issues regarding total sales to businesses and frequency of supply and financial indicators. Drivers were interviewed during rides to deliver tanker water to business customers. Seven water source managers were also interviewed using semi-structured interviews. Interviews were mainly conducted at the water source but in an area devoid of any third-party interference such as respective offices. Also, using both qualitative in-depth guides and questionnaires, thirty business customers were interviewed.
DOI: 10.15468/j52gfh
title: On the taxonomic position of Phaenomenella Fraussen & Hadorn, 2006 (Neogastropoda, Buccinoidea) with description of two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kantor, Yuri, Kosyan, Alisa, Sorokin, Pavel (2020): On the taxonomic position of Phaenomenella Fraussen & Hadorn, 2006 (Neogastropoda, Buccinoidea) with description of two new species. Zoosystema 42 (3): 33-55, DOI: 10.5252/zoosystema2020v42a3
DOI: 10.17632/c2x4zk9gcm.2
title: JAAD-D-19-02520 Supplementary Materials

description: Supplementary materials for publication JAAD-D-19-02520 (Nguyen AT et. al. Quantitative Metastatic Lymph Node Burden and Survival in Merkel Cell Carcinoma. J Am Acad Dermatol. 2020)
DOI: 10.5281/zenodo.3652804
title: GEO4962 input dataset for running CESM 2.1.0 case for the course

description: Contains the input dataset for running CESM 2.1.0 as part of the GEO4962 course at the University of Oslo.
DOI: 10.5281/zenodo.3652805
title: GEO4962 input dataset for running CESM 2.1.0 case for the course

description: Contains the input dataset for running CESM 2.1.0 as part of the GEO4962 course at the University of Oslo.
DOI: 10.5281/zenodo.3653052
title: Synthetic Data Set for Uplift Modeling (One Trial)

description: This dataset is designed and simulated for evaluating uplift modeling and feature selection methods. This dataset contains 10,000 samples and 36 features (one trial). The samples are equally split for control and treatment group. The generated data has three types of features: (1) uplift features influencing the treatment effect on the conversion probability; (2) classification features affecting the conversion probability but independent of the treatment effect; and (3) irrelevant features that are independent of both conversion probability and the treatment effect. To model the relationship between uplift features and the treatment effect and classification features and outcome probability, we implement six types of association patterns in the data generation process: linear, quadratic, cubic, ReLU (Rectified Linear Unit), trigonometric function sine, and cosine. In this data set, there are 36 features in total, including 10 classification features, 6 uplift features, and 20 irrelevant features. Column names: Experiment group label: 'treatment_group_key' Feature names: ['x1_informative',<br> 'x2_informative',<br> 'x3_informative',<br> 'x4_informative',<br> 'x5_informative',<br> 'x6_informative',<br> 'x7_informative',<br> 'x8_informative',<br> 'x9_informative',<br> 'x10_informative',<br> 'x11_irrelevant',<br> 'x12_irrelevant',<br> 'x13_irrelevant',<br> 'x14_irrelevant',<br> 'x15_irrelevant',<br> 'x16_irrelevant',<br> 'x17_irrelevant',<br> 'x18_irrelevant',<br> 'x19_irrelevant',<br> 'x20_irrelevant',<br> 'x21_irrelevant',<br> 'x22_irrelevant',<br> 'x23_irrelevant',<br> 'x24_irrelevant',<br> 'x25_irrelevant',<br> 'x26_irrelevant',<br> 'x27_irrelevant',<br> 'x28_irrelevant',<br> 'x29_irrelevant',<br> 'x30_irrelevant',<br> 'x31_uplift_increase',<br> 'x32_uplift_increase',<br> 'x33_uplift_increase',<br> 'x34_uplift_increase',<br> 'x35_uplift_increase',<br> 'x36_uplift_increase'] Outcome variable: 'conversion' True underlying control conversion probability: 'control_conversion_prob' True underlying treatment conversion probability: 'treatment1_conversion_prob' True treatment effect: 'treatment1_true_effect' Note columns names with '_transformed' suffix are feature variables used in the intermediate steps during the data generation, that should be excluded for model training.
DOI: 10.5281/zenodo.3653053
title: Synthetic Data Set for Uplift Modeling (One Trial)

description: This dataset is designed and simulated for evaluating uplift modeling and feature selection methods. This dataset contains 10,000 samples and 36 features (one trial). The samples are equally split for control and treatment group. The generated data has three types of features: (1) uplift features influencing the treatment effect on the conversion probability; (2) classification features affecting the conversion probability but independent of the treatment effect; and (3) irrelevant features that are independent of both conversion probability and the treatment effect. To model the relationship between uplift features and the treatment effect and classification features and outcome probability, we implement six types of association patterns in the data generation process: linear, quadratic, cubic, ReLU (Rectified Linear Unit), trigonometric function sine, and cosine. In this data set, there are 36 features in total, including 10 classification features, 6 uplift features, and 20 irrelevant features. Column names: Experiment group label: 'treatment_group_key' Feature names: ['x1_informative',<br> 'x2_informative',<br> 'x3_informative',<br> 'x4_informative',<br> 'x5_informative',<br> 'x6_informative',<br> 'x7_informative',<br> 'x8_informative',<br> 'x9_informative',<br> 'x10_informative',<br> 'x11_irrelevant',<br> 'x12_irrelevant',<br> 'x13_irrelevant',<br> 'x14_irrelevant',<br> 'x15_irrelevant',<br> 'x16_irrelevant',<br> 'x17_irrelevant',<br> 'x18_irrelevant',<br> 'x19_irrelevant',<br> 'x20_irrelevant',<br> 'x21_irrelevant',<br> 'x22_irrelevant',<br> 'x23_irrelevant',<br> 'x24_irrelevant',<br> 'x25_irrelevant',<br> 'x26_irrelevant',<br> 'x27_irrelevant',<br> 'x28_irrelevant',<br> 'x29_irrelevant',<br> 'x30_irrelevant',<br> 'x31_uplift_increase',<br> 'x32_uplift_increase',<br> 'x33_uplift_increase',<br> 'x34_uplift_increase',<br> 'x35_uplift_increase',<br> 'x36_uplift_increase'] Outcome variable: 'conversion' True underlying control conversion probability: 'control_conversion_prob' True underlying treatment conversion probability: 'treatment1_conversion_prob' True treatment effect: 'treatment1_true_effect' Note columns names with '_transformed' suffix are feature variables used in the intermediate steps during the data generation, that should be excluded for model training.
DOI: 10.17632/95mr7pr8rj.6
title: Two Daily Weather Datasets: Chiang Mai International Airport and Theodore Francis Green State Airport

description: Two daily weather datasets for experimenting data-driven models on two different weather types: 1. Chiang Mai International Airport, Chiang Mai, Thailand from January 1st 1998 to July 31st 2019. The data were acquired from the station via personal communication. The following files are provided: - chiang_mai_1998-2019_raw.csv : the raw data without any preprocessing. Note that some of the data are missing. - chiang_mai_1998-2019.csv : the preprocessed data: the dates and redundant variables were removed, the missing data were imputed with MICE algorithm and all units were changed to SI units. 2. Theodore Francis Green State Airport, Providence, RI from January 1st 2006 to October 31st 2019. The data were acquired from the National Oceanic and Atmospheric Administration (https://www.ncdc.noaa.gov/cdo-web/datatools/lcd). The following files are provided: - providence_2006-2019_raw.csv : the raw data with redundant variables removed. Some of the data are missing. - providence_2006-2019.csv : the preprocessed data: the dates were removed, the missing data were imputed with MICE algorithm and all units were changed to SI units. Additionally, we provide code in Python and shell scripts for reproducibility of the three autoencoder models in "Short-term Daily Precipitation Forecasting with Seasonally-Integrated Long Short-Term Memory Autoencoder". The code have the following requirements: - Python 3.6 or higher - Keras 2.2 or higher (Python library) - Tensorflow 1.12.0 or higher (Python library) Additionally, we use RAdam for stable learning rate schedules. RAdam can be installed via pip installer. pip install keras-rectified-adam With these requirements, training the proposed model on the data is as easy as running the following command: ./Providence.sh After the training is done, the RMSE and CORR scores will be reported, and the forecast values will be saved in `path/to/data_XXXXXX-xxxxxx.csv`. The README.md file provides additional information on code usage. REFERENCES: - Liu, L., Jiang, H., He, P., Chen, W., Liu, X., Gao, J., Han, J., 2019. On the variance of the adaptive learning rate and beyond. arXiv preprint arXiv:1908.03265. - Zaytar, M.A., Amrani, C.E., 2016. Sequence to sequence weather forecasting with long short-term memory recurrent neural networks. International Journal of Computer Applications 143, 7–11. doi:10.5120/ijca2016910497.
DOI: 10.17632/nscnrcrsd8.1
title: Data for: Cavilignum pratchettii gen. et sp. nov., a novel type of fossil endocarp with open locules from the Neogene Gray Fossil Site, Tennessee, USA

description: Micro-CT scan of three fossil endocarps of Cavilignum pratchettii, C. Siegert & Hermsen. ETMNH 18139 (Light micrograph: Plate I, 3), ETMNH 19561 (Light micrograph: Plate I, 11; micro-CT slices: Plate II, 2, 4, 5, 11), and ETMNH 18148 (Light micrograph: Plate I, 8; micro-CT slices: Plate II, 1, 3). We thank L. Witmer and R. Ridgley (Ohio University) for micro-CT scanning of specimens. Equipment: TriFoil Imaging eXplore CT 120 Small Animal X-Ray CT Scanner.
DOI: 10.17632/p49jpw8khk.1
title: HIVTR Treatment Change Dataset

description: HIVTR Treatment Change Dataset
DOI: 10.17632/wtrdb697w2.1
title: Bayrakci, Gaye; Falcon Suarez, Ismael; Minshull, Tim; North, Laurence; Best, Angus. (Table 1) Description of IODP rock samples from the Atlantis Massif, near the Mid-Atlantic Ridge. PANGAEA 2017, 10.1594/PANGAEA.873533 [Output (Electronic)]

description: In supplement to: Falcon-Suarez, Ismael Himar; Bayrakci, Gaye; Minshull, Tim A; North, Laurence J; Best, Angus; Rouméjon, Stéphane; Expedition 357 Scientists (2017): Elastic and electrical properties and permeability of serpentinites from Atlantis Massif, Mid-Atlantic Ridge. Geophysical Journal International, 211, 686-699, https://doi.org/10.1093/gji/ggx341
DOI: 10.5281/zenodo.3468558
title: Dataset for paper "Automatically Identifying Archival-worthy, Software-related Slack Conversations"

description: This dataset consists of 2000 conversations from 5 programming related Q&A channels, hosted on Slack, and accompanies the paper "Automatically Identifying Archival-worthy, Software-related Slack Conversations". In addition to the text of the conversations, each conversation has been annotated as either archival worthy or not. Our definition of archival-worthiness is: <em>"If a conversation contains information that could be useful to other users, whether in the Slack channel or elsewhere, then it should be archived. These conversations have no determinate length and no need for objectivity. A conversation should be archived based on the availability and ease of identifying information that could help a person to gain useful software-related knowledge."</em> <strong>Data Origin: </strong>Numerous public Slack chat channels (https://slack.com/) have recently become available that are focused on specific software engineering-related discussion topics, e.g., Python Development (https://pyslackers.com/web/slack). The data reflects a portion of the conversations on public channels related to Python, Clojure, Elm and Racket programming. <strong>Data Pre-Processing:</strong> To protect privacy, we replace usernames with fake names, and replace absolute times with relative times (in seconds). The conversations are disentangled from the overall chat stream with each unique <em>thread </em>in the dataset specifying a conversation in the channel. Archival-worthy conversations are marked with 1, while non-archival-worthy with 0.