cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13023/kbrw-5x87
title: GeoDatabase and Modeling Code used for Landslide Hazard and Susceptibility Mapping in Eastern and Northern Kentucky

description: We created a landslide susceptibility map using spatial soil property features extracted from the NRCS WSS that include percent sand, percent silt, percent clay, saturated hydraulic conductivity, available water capacity, one third bar water content, plasticity index, and liquid limit, all of which were used as features in the logistic regression analysis. We also used satellite soil moisture data, and a high-resolution (1.5 m) LiDAR-derived digital elevation map (DEM) which include slope, aspect, curvature, elevation, roughness, and plan curvature. We show that using publicly available data, a multi-temporal landslide hazard map can be created that will produce a close-to-real time landslide susceptibility map. The landslide hazard map derived from the limit equilibrium analysis tells us the evolution of the landslide development temporally and spatially, whereas the landslide susceptibility map derived statistically indicates the locations of possible landslides in the long term.
DOI: 10.5281/zenodo.4700191
title: Fault parameters of outer-rise faults in the Japan Trench

description: This database contains 33 fault parameters for outer-rise faults in the Japan Trench created by research of JSPS KAKENHI Grants JP15H05718 and published by Baba et al. (2020, https://doi.org/10.1029/2020JB020060). Although this site publishes only the fault parameters because of file size limitations, we are ready to share all products of Baba et al. (2020), including output tsunami waveform, maximum water level distributions dataset. Please feel free to contact us for the data.
DOI: 10.5281/zenodo.4699790
title: Fault parameters of outer-rise faults in the Japan Trench

description: This database contains 33 fault parameters for outer-rise faults in the Japan Trench created by research of JSPS KAKENHI Grants JP15H05718 and published by Baba et al. (2020, https://doi.org/10.1029/2020JB020060). Although this site publishes only the fault parameters because of file size limitations, we are ready to share all products of Baba et al. (2020), including output tsunami waveform, maximum water level distributions dataset. Please feel free to contact us for the data.
DOI: 10.21227/12p3-hp42
title: Micro-Cell Attribute Database

description: MCAD contains 5 seen classed and 68939 cell samples, and the unseen class contains 6 categories and 32679 cell samples. Seen class samples are collected from fecal microscopic images, while unseen class samples are collected from leucorrhea microscopic images.
DOI: 10.6084/m9.figshare.15241797
title: Liver X receptor α promotes milk fat synthesis in buffalo mammary epithelial cells by regulating the expression of FASN

description: Supplementary material
DOI: 10.5281/zenodo.5219070
title: Channel Migration Patterns in Experimental Deltas: Implication for Fluvial Morphodynamics

description: Digitized centerlines locations at every minute (300)
DOI: 10.5281/zenodo.5219069
title: Channel Migration Patterns in Experimental Deltas: Implication for Fluvial Morphodynamics

description: Digitized centerlines locations at every minute (300)
DOI: 10.13023/wzxy-w419
title: Multi-Temporal UAV Images and GeoDatabase Used to Estimate Temporal and Spatial Soil Moisture Content

description: We used small unmanned aerial vehicle (UAV) with optical digital camera to detect a land movement and to extract soil parameters. Using multi-temporal images in Garrard County, Kentucky, we detected land movement on three pairs of images that were captured one month apart. The multi-temporal images and the result of the movement analysis are available in folders. In addition, vertical displacement analysis is carried out using Differential Interferometry technique (DinSAR) to a pair of Synthetic Aperture Radar (SAR) images. Soil moisture data was estimated using linear regression machine learning model, and the python code and table used as training points are available in this page. Our results indicate that using UAV equipped with an optical digital camera, we can estimate land surface movement, and extract soil parameters such as soil moisture data using the technique presented in this research (https://doi.org/10.13023/etd.2021.369).
DOI: 10.6084/m9.figshare.15244341
title: Serious Conflict due to Lane Change at Unsignalized Intersections on Malaysian Federal Routes

description: Data used to model serious conflict lane change model
DOI: 10.6084/m9.figshare.15244341.v1
title: Serious Conflict due to Lane Change at Unsignalized Intersections on Malaysian Federal Routes

description: Data used to model serious conflict lane change model
DOI: 10.5281/zenodo.4292983
title: Remote and Local Processes Controlling Decadal Sea Ice Variability in the Weddell Sea

description: These datasets are based on the 270-yr simulation results of CTR and SAOWED experiments, which include annual average of atmospheric and ocean variables used to make figures in a paper by Morioka and Behera (2021).
description: {"references": ["Morioka, Y., & Behera, S. K. (2021). Remote and local processes controlling decadal sea ice variability in the Weddell Sea. Journal of Geophysical Research: Oceans, 126, e2020JC017036. https://doi.org/10.1029/2020JC017036"]}
DOI: 10.5281/zenodo.4292982
title: Remote and Local Processes Controlling Decadal Sea Ice Variability in the Weddell Sea

description: These datasets are based on the 270-yr simulation results of CTR and SAOWED experiments, which include annual average of atmospheric and ocean variables used to make figures in a paper by Morioka and Behera (2021).
description: {"references": ["Morioka, Y., & Behera, S. K. (2021). Remote and local processes controlling decadal sea ice variability in the Weddell Sea. Journal of Geophysical Research: Oceans, 126, e2020JC017036. https://doi.org/10.1029/2020JC017036"]}
DOI: 10.6084/m9.figshare.15245259
title: dataset

description: Study dataset<br>Title: Effect of enterally administered sleep-promoting medication on the intravenous sedative dose and its safety and cost profile in mechanically ventilated patients: A retrospective cohort study<br>
DOI: 10.6084/m9.figshare.15246100.v1
title: Data for 'Methane flux measurements along a floodplain soil moisture gradient in the Okavango Delta, Botswana'

description: Data-poor tropical wetlands constitute an important source of atmospheric CH<sub>4</sub> in the world. We studied CH<sub>4</sub> fluxes using closed chambers along a soil moisture gradient in a tropical seasonal swamp in the Okavango Delta, Botswana, the sixth largest tropical wetland in the world. The objective of the study was to assess net CH<sub>4</sub> fluxes and controlling environmental factors in the delta's seasonal floodplains. Net CH<sub>4</sub> emissions from seasonal floodplains in the wetland were estimated at 0.072 ± 0.016 Tg a<sup>−1</sup>. Microbial CH<sub>4</sub> oxidation of approximately 2.817 × 10<sup>−3</sup> ± 0.307 × 10<sup>−3</sup> Tg a<sup>−1</sup> in adjacent dry soils of the occasional floodplains accounted for the sink of 4% of the total soil CH<sub>4</sub> emissions from seasonal floodplains. The observed microbial CH<sub>4</sub> sink in the delta's dry soils is, therefore, comparable to the global average sink of 4–6%. Soil water content (SWC) and soil organic matter were the main environmental factors controlling CH<sub>4</sub> fluxes in both the seasonal and occasional floodplains. The optimum SWC for soil CH<sub>4</sub> emissions and oxidation in the delta were estimated at 50% and 15%, respectively. Electrical conductivity and pH were poorly correlated (<i>r</i><sup>2</sup> ≤ 0.11, <i>p</i> 4 fluxes in the seasonal floodplain at Nxaraga.This article is part of the discussion meeting issue 'Rising methane: is warming feeding warming? (Part 1)'.
DOI: 10.6084/m9.figshare.15246100
title: Data for 'Methane flux measurements along a floodplain soil moisture gradient in the Okavango Delta, Botswana'

description: Data-poor tropical wetlands constitute an important source of atmospheric CH<sub>4</sub> in the world. We studied CH<sub>4</sub> fluxes using closed chambers along a soil moisture gradient in a tropical seasonal swamp in the Okavango Delta, Botswana, the sixth largest tropical wetland in the world. The objective of the study was to assess net CH<sub>4</sub> fluxes and controlling environmental factors in the delta's seasonal floodplains. Net CH<sub>4</sub> emissions from seasonal floodplains in the wetland were estimated at 0.072 ± 0.016 Tg a<sup>−1</sup>. Microbial CH<sub>4</sub> oxidation of approximately 2.817 × 10<sup>−3</sup> ± 0.307 × 10<sup>−3</sup> Tg a<sup>−1</sup> in adjacent dry soils of the occasional floodplains accounted for the sink of 4% of the total soil CH<sub>4</sub> emissions from seasonal floodplains. The observed microbial CH<sub>4</sub> sink in the delta's dry soils is, therefore, comparable to the global average sink of 4–6%. Soil water content (SWC) and soil organic matter were the main environmental factors controlling CH<sub>4</sub> fluxes in both the seasonal and occasional floodplains. The optimum SWC for soil CH<sub>4</sub> emissions and oxidation in the delta were estimated at 50% and 15%, respectively. Electrical conductivity and pH were poorly correlated (<i>r</i><sup>2</sup> ≤ 0.11, <i>p</i> 4 fluxes in the seasonal floodplain at Nxaraga.This article is part of the discussion meeting issue 'Rising methane: is warming feeding warming? (Part 1)'.
DOI: 10.6084/m9.figshare.15246087
title: Mitochondrial sequences.fas

description: the study concatenated mitochondrial cytochrome b and control region sequences for genetic analysis of Megalobrama populations
DOI: 10.6084/m9.figshare.15246087.v1
title: Mitochondrial sequences.fas

description: the study concatenated mitochondrial cytochrome b and control region sequences for genetic analysis of Megalobrama populations
DOI: 10.6084/m9.figshare.14450445.v1
title: Bed load flux time series for Benavides et al. 2021

description: This zip file contains three files:1) Loading_Data_Example.py, which is a python script which shows one how to load and handle the data.2) time_series.h5, an hdf5 file which contains the time-series data used in the paper Benavides et al. (preprint found at: https://doi.org/10.31223/X5PW3Q).3) exp_data_11_2020.txt, the experimental meta data file which contains information on the experimental conditions for each run.
DOI: 10.14457/cu.the.1972.2
title: การดำเนินงานวางแผนครอบครัวในประเทศไทยศึกษาเฉพาะ โครงการวางแผนครอบครัว กระทรวงสาธารณสุข
DOI: 10.14457/cu.the.1972.3
title: บุตรชอบด้วยกฎหมาย
DOI: 10.14457/cu.the.1972.4
title: สัมฤทธิผลทางคณิตศาสตร์ของนักเรียนชั้นมัธยมศึกษาปีที่ 3 จังหวัดเพชรบุรี
DOI: 10.14457/cu.the.1972.5
title: ดัชนีที่ใช้วัดฐานะทางเศรษฐกิจและสังคมของประชากรในเขตเมืองของประเทศไทย
DOI: 10.14457/cu.the.1972.6
title: ความสัมพันธ์การศึกษาเปรียบเทียบระหว่างการอบรมเลี้ยงดู พัฒนาการทางความคิดตามทฤษฎีของเปียเจท์ และสัมฤทธิผลทางการเรียน
DOI: 10.6084/m9.figshare.15245898
title: A dataset of water quality, meteorological and ecosystem respiration data.csv

description: A dataset of water quality, meteorological and ecosystem respiration data in a middle-high latitude forest wetland catchment
DOI: 10.6084/m9.figshare.15247572
title: Project: Co-expression between genes

description: Expression data for TP53, RUNX, and targets. Clinical info for patients also included.
DOI: 10.6084/m9.figshare.15247572.v1
title: Project: Co-expression between genes

description: Expression data for TP53, RUNX, and targets. Clinical info for patients also included.
DOI: 10.6084/m9.figshare.15248118
title: Project: Co-expression between genes (supplement)

description: Reference, TP53 and RUNX transcriptional targets.
DOI: 10.6084/m9.figshare.15248118.v1
title: Project: Co-expression between genes (supplement)

description: Reference, TP53 and RUNX transcriptional targets.
DOI: 10.48324/dandi.000053/0.210819.0345
title: Recordings from medial entorhinal cortex during linear track and open exploration

description: This dataset contains two task types. The first is tetrode recordings from medial entorhinal cortex during open field navigation with simultaneous inertial measurements of the head, and the second is Neuropixel recordings from medial entorhinal cortex during navigation down a virtual linear track with simultaneous eye measurements.
DOI: 10.5281/zenodo.5219476
title: Data for the research article: "Detecting Seismo-ionospheric Anomalies Possibly Associated with the 2019 Ridgecrest (California) Earthquakes by GNSS, CSES and Swarm Observations"

description: The zip archives contain 10 .mat files (MATLAB readable). Each .mat file can be loaded into the MATLAB workspace using the <em>load</em> command.
DOI: 10.5281/zenodo.5219475
title: Data for the research article: "Detecting Seismo-ionospheric Anomalies Possibly Associated with the 2019 Ridgecrest (California) Earthquakes by GNSS, CSES and Swarm Observations"

description: The zip archives contain 10 .mat files (MATLAB readable). Each .mat file can be loaded into the MATLAB workspace using the <em>load</em> command.
DOI: 10.34944/dspace/6787
title: Topic Modeling of Palantir Patents and List of Palantir Contracts

description: For this study, we scraped all Palantir’s patents that contained the word “ontology” (as of 08/25/20) from Google Patents. This produced a purposive sample (n=155) of Palantir patents, consisting of 5197 pages, over 2.5 million words, and over 18.5 million characters. We then prepared the data set for processing by stripping all the metadata and special features, converting formats, compressing, and collating the patents together. We imported several Python libraries used for data processing (Pandas, Matplotlib, NumPy, and Seaborn), and Google Collaboratory was used to assemble the patent data, which was then loaded in a textual paragraph format. Preprocessing was then carried out, including punctuation, null value, and stop word removal, lemmatization, lowercase conversion, and tokenization, which resulted in a preprocessed data set. Part-of-speech (POS) tagging was performed, and the tokens were targeted in accordance with their corresponding POS based on context and definition (this produced most frequent nouns, verbs, etc.). Next, named entity recognition was performed to locate and classify entities in the text into predefined categories such as persons, organizations, locations, times, quantities, monetary values, percentages, etc. Topic modeling was performed using a bag-of-words model and Latent Dirichlet Allocation. We also downloaded a list of US Government contracts with Palantir from the Federal Procurement Data System (as of 08/04/21).
description: Palantir is one of the most secretive and understudied surveillance firms in the US. The company supplies information technology (IT) solutions to governments, nonprofits, and corporations, focusing on data integration and surveillance services. We begin by sketching Palantir’s company history and contract network, followed by an explanation of key terms associated with Palantir’s area of technology specialization and a description of the firm’s platform ecosystem. We then provide a summary of current scholarship on Palantir’s continuing role in policing, intelligence, and security operations. Our primary contribution and analysis are a computational topic modeling of a purposive sample (n=155) of Palantir’s surveillance patents including their topics and themes. This approach follows recent literature that uses patents as primary data for researching the surveillance imaginaries and capabilities of IT firms. We end by discussing the concept of infrastructuring to understand Palantir as a surveillance platform, where information standards like administrative metadata are theorized as phenomena for structuring entities in and through access to digital information.
DOI: 10.6084/m9.figshare.15250793
title: File 2. from Predictions of primate–parasite coextinction

description: .R file that contains the code to conduct analyses in the R statistical environment.
DOI: 10.6084/m9.figshare.15250793.v1
title: File 2. from Predictions of primate–parasite coextinction

description: .R file that contains the code to conduct analyses in the R statistical environment.
DOI: 10.6084/m9.figshare.15250802.v1
title: File 4. from Predictions of primate–parasite coextinction

description: .html file of the network in which node names can be visualized by hovering the cursor over the nodes.
DOI: 10.6084/m9.figshare.15250802
title: File 4. from Predictions of primate–parasite coextinction

description: .html file of the network in which node names can be visualized by hovering the cursor over the nodes.
DOI: 10.6084/m9.figshare.15250814
title: File 1. from Predictions of primate–parasite coextinction

description: .RData file that contains the network object with node attributes loaded, indicating the species names, their type (parasite or host), whether the host is threatened with extinction or not, and whether the parasite has nonprimate mammalian hosts (“other.mammals”).
DOI: 10.6084/m9.figshare.15250811
title: File 3. from Predictions of primate–parasite coextinction

description: .tre file with the phylogeny used to simulate a trait with phylogenetic signal for null model comparison. The tree is based on Springer, M. S., Meredith, R. W., Gatesy, J., Emerling, C. A., Park, J., Rabosky, D. L., ... & Murphy, W. J. (2012). Macroevolutionary dynamics and historical biogeography of primate diversification inferred from a species supermatrix. PloS one, 7(11), e4952.
DOI: 10.6084/m9.figshare.15073059
title: Alpheidae evolution dataset

description: Paper title: Distinct suites of pre- and post-adaptations indicate independent evolutionary pathways of snapping claws in the shrimp family Alpheidae (Decapoda: Caridea)
DOI: 10.6084/m9.figshare.15073059.v1
title: Alpheidae evolution dataset

description: Paper title: Distinct suites of pre- and post-adaptations indicate independent evolutionary pathways of snapping claws in the snapping shrimp family Alpheidae (Decapoda: Caridea)
DOI: 10.6084/m9.figshare.15057999.v1
title: Supplementary_Data_Sheet_1.xlsx

description: Results of genome variant analyses for our <i>Mycoplasma pneumoniae</i> strains, M129 and FH, compared to their standard strains, M129-B7 (GenBank accession no. CP003913) and FH (GenBank accession no. CP010546), respectively.
DOI: 10.6084/m9.figshare.15250814.v1
title: File 1. from Predictions of primate–parasite coextinction

description: .RData file that contains the network object with node attributes loaded, indicating the species names, their type (parasite or host), whether the host is threatened with extinction or not, and whether the parasite has nonprimate mammalian hosts (“other.mammals”).
DOI: 10.6084/m9.figshare.15250811.v1
title: File 3. from Predictions of primate–parasite coextinction

description: .tre file with the phylogeny used to simulate a trait with phylogenetic signal for null model comparison. The tree is based on Springer, M. S., Meredith, R. W., Gatesy, J., Emerling, C. A., Park, J., Rabosky, D. L., ... & Murphy, W. J. (2012). Macroevolutionary dynamics and historical biogeography of primate diversification inferred from a species supermatrix. PloS one, 7(11), e4952.
DOI: 10.5063/sn07cz
title: Salmon age, sex, and length data from Arctic-Yukon-Kuskokwim Region of Alaska, 1960-2017

description: Age, sex and length data provide population dynamics information that can indicate how populations trends occur and may be changing. These data can help researchers estimate population growth rates, age-class distribution and population demographics. Knowing population demographics, growth rates and trends is particularly valuable to fisheries managers who must perform population assessments to inform management decisions. These data are therefore particularly important in valuable fisheries like the salmon fisheries of Alaska. This dataset includes age, sex and length data compiled from annual sampling of commercial and subsistence salmon harvests and research projects in the Arctic-Yukon-Kuskokwim region of Alaska. It includes data on five salmon species: chinook, chum, coho, pink and sockeye. There is some data on non-salmon species (whitefish, sheefish, longnose sucker, Dolly Varden) in the Yukon dataset. There is an additional data table for more specific information about the locations where samples were collected. Age estimates were made by examining scales or bony structures (e.g. otoliths - ear bones). Scales were removed from the side of the fish; usually the left side above the lateral line. Scales or bony structures were then mounted on gummed cards and pressed on acetate to make an impression. The number of freshwater and saltwater annuli (i.e. rings) was counted to estimate age in years. Fish sex was determined by either examining external morphology (eg. head and belly shape) or internal sex organ. Length was measured in millimeters, generally from mid-eye to the fork of the tail. This data package includes the original data files, reformatting scripts that reformat the original data files into a consistent format, and the reformatted datasets.
DOI: 10.6084/m9.figshare.15057999
title: Supplementary_Data_Sheet_1.xlsx

description: Results of genome variant analyses for our <i>Mycoplasma pneumoniae</i> strains, M129 and FH, compared to their standard strains, M129-B7 (GenBank accession no. CP003913) and FH (GenBank accession no. CP010546), respectively.<br>Maximum and minimum reads coverageM129: 2445 reads, 10 readsFH: 2459 reads, 453 reads
DOI: 10.6084/m9.figshare.15057999.v3
title: Supplementary_Data_Sheet_1.xlsx

description: Results of genome variant analyses for our <i>Mycoplasma pneumoniae</i> strains, M129 and FH, compared to their standard strains, M129-B7 (GenBank accession no. CP003913) and FH (GenBank accession no. CP010546), respectively.<br>Maximum and minimum reads coverageM129: 2445 reads, 10 readsFH: 2459 reads, 453 reads
DOI: 10.6084/m9.figshare.15057999.v2
title: Supplementary_Data_Sheet_1.xlsx

description: Results of genome variant analyses for our <i>Mycoplasma pneumoniae</i> strains, M129 and FH, compared to their standard strains, M129-B7 (GenBank accession no. CP003913) and FH (GenBank accession no. CP010546), respectively.<br>Maximum and minimum reads coverageM129: 2445 reads, 10 readsFH: 2459 reads, 453 reads