cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25675/10217/82146
title: SGS-LTER standard meteorological data on the Central Plains Experimental Range, Nunn, Colorado, ARS study number 4

description: The Short Grass Steppe site encompasses a large portion of the Colorado Piedmont Section of the western Great Plains. The extent is defined as the boundaries of the Central Plains Experimental Range (CPER). The CPER has a single ownership and landuse (livestock grazing). The PNG is characterized by a mosaic of ownership and land use. Ownership includes federal, state or private and land use consists of livestock grazing or row-crops. There are NGO conservation groups that exert influence over the area, particularly on federal lands.
description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. The objective of this study is to collect baseline meteorological data for the CPER. Datasets auto12_climdb and man11_climdb have been processed for quality and missing values.
DOI: 10.25675/10217/234060
title: Dataset associated with "Artefactual depiction of predator–prey trophic linkages in global soils"

description: This database contains results from an exploratory literature search (carried out over May-July 2020) to detect the trophic linkages that departed from an initial set of 36 common soil-dwelling invertebrate taxa (i.e., in the capacity of either predator or prey items). It consists of a non-exhaustive list of macro-, meso- and micro-fauna which did not necessarily include all common soil fauna (e.g., Amphipoda). For each literature record, we logged the resource and consumer organisms for each trophic linkage. For generalist (i.e., polyphagous) predators that foraged within/on soil substrates, we logged all trophic linkages that were outlined in each literature record (i.e., involving other organisms beyond the initial set of 36 taxa). Taxa were identified either at the taxonomic hierarchy of phylum, sub-class or order and comprised a diverse set of common, globally-distributed soil-foraging biota.
description: Soil invertebrates contribute to multiple ecosystem services, including pest control, nutrient cycling, and soil structural regulation, yet trophic interactions that determine their diversity and activity in soils remain critically understudied. Here, we systematically review literature (1966–2020) on feeding habits of soil arthropods and macrofauna and summarize empirically studied predator–prey linkages across ecosystem types, geographies and taxa. Out of 522 unique predators and 372 prey organisms (constituting 1947 predator–prey linkages), the vast majority (&gt; 75%) are only covered in a single study. We report a mean of just 3.0 ± 4.7 documented linkages per organism, with pronounced taxonomic biases. In general, model organisms and crop pests (generally Insecta) are well-studied, while important soil-dwelling predators, fungivores and detritivores (e.g., Collembola, Chilopoda and Malacostraca) remain largely ignored. We argue that broader food-web based research approaches, considering multiple linkages per organism and targeting neglected taxa, are needed to inform science-driven management of soil communities and associated ecosystem services.
DOI: 10.25675/10217/87164
title: SGS-LTER GIS layer of level 2 soil survey and related document on Central Plains Experimental Range, Nunn, Colorado, USA 2012

description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection.
DOI: 10.25675/10217/210898
title: Data associated with "Lingual electrotactile discrimination ability is associated with the presence of specific connective tissue structures (papillae) on the tongue surface"

description: The dataset contains numerical data summarizing the number of fungiform papillae in specific regions of the tongue along with perceived intensity and discrimination of electrodes spaced at different distances. The purpose of the study was to determine whether fungiform papillae distribution and/or density is related to an individual’s perception of active electrodes on a tongue stimulation device.
description: Electrical stimulation of nerve endings in the tongue can be used to communicate information to users and has been shown to be highly effective in sensory substitution applications. The anterior tip of the tongue has very small somatosensory receptive fields, comparable to those of the fingertips, allowing for precise two-point discrimination and high tactile sensitivity. However, perception of electrotactile stimuli varies significantly between users, and across the tongue surface. Despite this, previous studies all used uniform electrode grids to stimulate a region of the dorsal-medial tongue surface. In an effort to customize electrode layouts for individual users, and thus improve efficacy for sensory substitution applications, we investigated whether specific neuroanatomical and physiological features of the tongue are associated with enhanced ability to perceive active electrodes. Specifically, the study described here was designed to test whether fungiform papillae density and/or propylthiouracil sensitivity are positively or negatively associated with perceived intensity and/or discrimination ability for lingual electrotactile stimuli. Fungiform papillae number and distribution were determined for 15 participants and they were exposed to patterns of electrotactile stimulation (ETS) and asked to report perceived intensity and perceived number of stimuli. Fungiform papillae number and distribution were then compared to ETS characteristics using comprehensive and rigorous statistical analyses. Our results indicate that fungiform papillae density is correlated with enhanced discrimination ability for electrical stimuli. In contrast, papillae density, on average, is not correlated with perceived intensity of active electrodes. However, results for at least one participant suggest that further research is warranted. Our data indicate that propylthiouracil taster status is not related to ETS perceived intensity or discrimination ability. These data indicate that individuals with higher fungiform papillae number and density in the anterior medial tongue region may be better able to use lingual ETS for sensory substitution.
DOI: 10.25675/10217/179301
title: Range distribution of the mountain nyala (Tragelaphus buxtoni) in Ethiopia

description: The use of statistical models to predict species distributions and suitable habitat has become an essential tool for wildlife management and conservation planning. Models have been especially useful with rare and endangered wildlife species. One such species is the mountain nyala (Tragelaphus buxtoni), a spiral-horned antelope endemic to the Ethiopian highlands. The full range of the species has never been adequately defined and recent discoveries of new populations suggest that others may exist undetected. To identify potential mountain nyala occurrences, we used classification tree analysis to predict suitable habitat using 76 climatic, topographical and vegetative variables. Three model evaluation methods showed a strong performance of the final model with an overall accuracy of 90%, Cohen's maximised κ of 0.80 and area under the receiver operating characteristic curve (AUC) value of 0.89. Minimum temperature and maximum precipitation generally had the greatest predictive contributions to suitable mountain nyala habitat. The predicted habitat covered an area of 39378 km2, with the majority occurring in remote forests on the southern escarpment of the Bale Mountains. Other areas within the predicted range may be too impacted by human and livestock populations to support mountain nyala; however, the model will be useful in directing future surveys for new populations while offering clues to the species historical range.
DOI: 10.25675/10217/87156
title: SGS-LTER GIS layer with detailed information on fences on Central Plains Experimental Range, Nunn, Colorado, USA 2012

description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection.
DOI: 10.6084/m9.figshare.25389430.v1
title: Additional file 1 of Annual dialysis data report 2020, JSDT renal data registry

description: Additional file 1. Supplementary tables 1–42.
DOI: 10.6084/m9.figshare.25389494
title: Additional file 1 of In-depth proteome characterization of endometrium and extraembryonic membranes during implantation in pig

description: Additional file 1: Table S1. Complete list of the 3,254 proteins identified in endometrium of pregnant sows during implantation (d 18 and 24 of gestation) validated with a peptide confidence threshold of 95% and a false discovery rate (FDR) of 1%. Table S2. Complete list of the 3,457 proteins identified in endometrium of non-pregnant sows at d 18 and 24 of cycle validated with a peptide confidence threshold of 95% and a false discovery rate (FDR) of 1%. Table S3. Complete list of the 3,968 proteins identified in extra-embryonic membranes of pregnant sows at d 18 and 24 of gestation validated with a peptide confidence threshold of 95% and a false discovery rate (FDR) of 1%. Table S4. Complete list of 1,751 unique proteins in endometrium of pregnant sows. Table S5. Complete list of 1,704 unique proteins in endometrium of non-pregnant sows. Table S6. Complete list of 1,753 common proteins in endometrium of pregnant and non-pregnant sows. Table S7. Functional group analysis with their associated proteins in unique pregnant sow’s proteins with immune system annotation (data generated by ClueGO plugin). Table S8. Functional group analysis with their associated proteins in unique pregnant sow’s proteins with biological adhesion annotation (data generated by ClueGO plugin). Table S9. Functional group analysis with their associated proteins in unique pregnant sow’s proteins with reproductive process annotation (data generated by ClueGO plugin). Table S10. The Gene Ontology (GO) Biological functional groups analysis with their associated proteins in unique pregnant sow’s proteins with reproductive process annotation (data generated by ClueGO plugin). Table S11. Functional group analysis with their associated proteins in unique non-pregnant sow’s proteins with immune system annotation (data generated by ClueGO plugin). Table S12. Functional group analysis with their associated proteins in unique pregnant sow’s proteins with biological adhesion annotation (data generated by ClueGO plugin). Table S13. The Gene Ontology (GO) Biological functional groups analysis with their associated proteins in unique pregnant sow’s proteins with reproductive process annotation (data generated by ClueGO plugin). Table S14. Functional group analysis with their associated proteins in pregnant sow’s extraembryonic membrane proteins with reproductive process annotation (data generated by ClueGO plugin). Table S15. The Gene Ontology (GO) Biological functional groups analysis with their associated proteins in pregnant sow’s extraembryonic membrane proteins with reproductive process annotation (data generated by ClueGO plugin).
DOI: 10.6084/m9.figshare.25389494.v1
title: Additional file 1 of In-depth proteome characterization of endometrium and extraembryonic membranes during implantation in pig

description: Additional file 1: Table S1. Complete list of the 3,254 proteins identified in endometrium of pregnant sows during implantation (d 18 and 24 of gestation) validated with a peptide confidence threshold of 95% and a false discovery rate (FDR) of 1%. Table S2. Complete list of the 3,457 proteins identified in endometrium of non-pregnant sows at d 18 and 24 of cycle validated with a peptide confidence threshold of 95% and a false discovery rate (FDR) of 1%. Table S3. Complete list of the 3,968 proteins identified in extra-embryonic membranes of pregnant sows at d 18 and 24 of gestation validated with a peptide confidence threshold of 95% and a false discovery rate (FDR) of 1%. Table S4. Complete list of 1,751 unique proteins in endometrium of pregnant sows. Table S5. Complete list of 1,704 unique proteins in endometrium of non-pregnant sows. Table S6. Complete list of 1,753 common proteins in endometrium of pregnant and non-pregnant sows. Table S7. Functional group analysis with their associated proteins in unique pregnant sow’s proteins with immune system annotation (data generated by ClueGO plugin). Table S8. Functional group analysis with their associated proteins in unique pregnant sow’s proteins with biological adhesion annotation (data generated by ClueGO plugin). Table S9. Functional group analysis with their associated proteins in unique pregnant sow’s proteins with reproductive process annotation (data generated by ClueGO plugin). Table S10. The Gene Ontology (GO) Biological functional groups analysis with their associated proteins in unique pregnant sow’s proteins with reproductive process annotation (data generated by ClueGO plugin). Table S11. Functional group analysis with their associated proteins in unique non-pregnant sow’s proteins with immune system annotation (data generated by ClueGO plugin). Table S12. Functional group analysis with their associated proteins in unique pregnant sow’s proteins with biological adhesion annotation (data generated by ClueGO plugin). Table S13. The Gene Ontology (GO) Biological functional groups analysis with their associated proteins in unique pregnant sow’s proteins with reproductive process annotation (data generated by ClueGO plugin). Table S14. Functional group analysis with their associated proteins in pregnant sow’s extraembryonic membrane proteins with reproductive process annotation (data generated by ClueGO plugin). Table S15. The Gene Ontology (GO) Biological functional groups analysis with their associated proteins in pregnant sow’s extraembryonic membrane proteins with reproductive process annotation (data generated by ClueGO plugin).
DOI: 10.34740/kaggle/dsv/7821432
title: Contrastive Language Image Pretraining by openai
DOI: 10.6084/m9.figshare.25390696
title: VL.zip

description: Sequences evaluated in the paper Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera, ICCV 2023.
DOI: 10.6084/m9.figshare.25390696.v1
title: VL.zip

description: Sequences evaluated in the paper Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera, ICCV 2023.
DOI: 10.5281/zenodo.10807255
title: Steady threefold Arctic Amplification of externally forced warming masked by natural variability

description: SourceData.xlsx:

Time series of the observed Arctic and global mean temperature, the MME Arctic and global mean temperature, the IPO index, the AM index, and the influences of tropical Pacific variability on the Arctic and global mean temperature.

 

Arctic_Amplificaiton_Historicaltrend.py:

Script for analyzing datasets and plotting figures
DOI: 10.5281/zenodo.10807256
title: Steady threefold Arctic Amplification of externally forced warming masked by natural variability

description: Time series of the observed Arctic and global mean temperature, the MME Arctic and global mean temperature, the IPO index, the AM index, and the influences of tropical Pacific variability on the Arctic and global mean temperature.
DOI: 10.5281/zenodo.10807270
title: Steady threefold Arctic Amplification of externally forced warming masked by natural variability

description: SourceData.xlsx:

Time series of the observed Arctic and global mean temperature, the MME Arctic and global mean temperature, the IPO index, the AM index, and the influences of tropical Pacific variability on the Arctic and global mean temperature.

 

Arctic_Amplificaiton_Historicaltrend.py:

Script for analyzing datasets and plotting figures
DOI: 10.5281/zenodo.10807297
title: Data for Field observation of Variation in Dust Emission Efficiency with Wind Speed and Temporary Properties of Farmland Soil
DOI: 10.5281/zenodo.10807298
title: Data for Field observation of Variation in Dust Emission Efficiency with Wind Speed and Temporary Properties of Farmland Soil
DOI: 10.5281/zenodo.10793614
title: Data of 'Enhancement of Magnonic Frequency Combs by Exceptional Points'
DOI: 10.5281/zenodo.10793615
title: Data of 'Enhancement of Magnonic Frequency Combs by Exceptional Points'
DOI: 10.5281/zenodo.10807345
title: Data of 'Enhancement of Magnonic Frequency Combs by Exceptional Points'
DOI: 10.5281/zenodo.10137749
title: Using Unstructured Crowd-sourced Data to Evaluate Urban Tolerance of Terrestrial Native Species within a California Mega-City

description: This data repository is for the publication "Using Unstructured Crowd-sourced Data to Evaluate Urban Tolerance of Terrestrial Native Species within a California Mega-City" and contains all R scripts and data files to reproduce results as well as all supplementary tables and figures.
DOI: 10.5281/zenodo.10682738
title: Supplementary Material for "Using Unstructured Crowd-sourced Data to Evaluate Urban Tolerance of Terrestrial Native Animal Species within a California Mega-City"

description: This data repository is for the publication "Using Unstructured Crowd-sourced Data to Evaluate Urban Tolerance of Terrestrial Native Animal Species within a California Mega-City" and contains all R scripts and data files to reproduce results as well as all supplementary tables and figures.
DOI: 10.5281/zenodo.10807269
title: Supplementary Material for "Using Unstructured Crowd-sourced Data to Evaluate Urban Tolerance of Terrestrial Native Animal Species within a California Mega-City"

description: This data repository is for the publication "Using Unstructured Crowd-sourced Data to Evaluate Urban Tolerance of Terrestrial Native Animal Species within a California Mega-City" and contains all R scripts and data files to reproduce results as well as all supplementary tables and figures.
DOI: 10.5281/zenodo.10137748
title: Supplementary Material for "Using Unstructured Crowd-sourced Data to Evaluate Urban Tolerance of Terrestrial Native Animal Species within a California Mega-City"

description: This data repository is for the publication "Using Unstructured Crowd-sourced Data to Evaluate Urban Tolerance of Terrestrial Native Animal Species within a California Mega-City" and contains all R scripts and data files to reproduce results as well as all supplementary tables and figures.
DOI: 10.5281/zenodo.10807319
title: Supplementary Material for "Using Unstructured Crowd-sourced Data to Evaluate Urban Tolerance of Terrestrial Native Animal Species within a California Mega-City"

description: This data repository is for the publication "Using Unstructured Crowd-sourced Data to Evaluate Urban Tolerance of Terrestrial Native Animal Species within a California Mega-City" and contains all R scripts and data files to reproduce results as well as all supplementary tables and figures.
DOI: 10.5281/zenodo.10807346
title: Pulsars detected in the GP survey in both imaging and beamforming searches.

description: SI is the mean flux density of the pulsars in Stokes I image from this work, SV is the Stokes V for the pulsars that were detected in Stokes V image in this work and Slit is the low-frequency flux density available in the literature: ’M’ stands for MWA-image detection by Murphy et al.(2017), ’X’ stands for MWA-incoherent beam detection by Xue et al. (2017), ’S’ stands for MWA SMART survey detections by Bhat et al. (2023b) and ’K’ stands for LOFAR detection by Kondratiev et al. (2016). α is the spectral index of the pulsars. α is calculated using the flux densities of the pulsars in MWA Stokes I image (154 MHz) and the RACS Stokes I image (888 MHz).
DOI: 10.5281/zenodo.10807347
title: Pulsars detected in the GP survey in both imaging and beamforming searches.

description: SI is the mean flux density of the pulsars in Stokes I image from this work, SV is the Stokes V for the pulsars that were detected in Stokes V image in this work and Slit is the low-frequency flux density available in the literature: ’M’ stands for MWA-image detection by Murphy et al.(2017), ’X’ stands for MWA-incoherent beam detection by Xue et al. (2017), ’S’ stands for MWA SMART survey detections by Bhat et al. (2023b) and ’K’ stands for LOFAR detection by Kondratiev et al. (2016). α is the spectral index of the pulsars. α is calculated using the flux densities of the pulsars in MWA Stokes I image (154 MHz) and the RACS Stokes I image (888 MHz).
DOI: 10.6084/m9.figshare.25390717
title: Behavioral Intentions of Low-Achieving Students to Use Mobile English Learning: Integrating Self-Determination Theory, Theory of Planned Behavior, and Technology Acceptance Model Approaches

description: This study attempts to examine the factors that influence students’ behavioral intentions towards using Mobile English Learning (MEL) by integrating three key theoretical frameworks: the Technology Acceptance Model (TAM), the Self-Determination Theory (SDT), and the Theory of Planned Behavior (TPB). SmartPLS and SPSS were used to analyze data from a survey involving 499 students with low-achieving academic records from six Taiwanese universities. The results show that perceived autonomy, perceived relatedness, and perceived ease of use predict perceived usefulness. Furthermore, attitude, subjective norm, and perceived behavioral control predict perceived ease of use. Both perceived usefulness and perceived ease of use positively influence with behavioral intention. These results provide a theoretical basis for promoting the intention of low-achieving students to use MEL.
DOI: 10.34740/kaggle/dsv/7821621
title: mydata
DOI: 10.34740/kaggle/dsv/7821806
title: mydata
DOI: 10.34740/kaggle/dsv/7821813
title: mydata
DOI: 10.34740/kaggle/dsv/7821818
title: mydata
DOI: 10.34740/kaggle/dsv/7821842
title: mydata
DOI: 10.6084/m9.figshare.21624321.v1
title: code for processing the data used in Yan et al

description: This file provides the computer code used to process data and generate figures for Yan et al. paper entitled "Pulsed forest tree-mortality events obscured by broad-scale 
global greening trends"
DOI: 10.6084/m9.figshare.21624321
title: code for processing the data used in Yan et al

description: This file provides the computer code used to process data and generate figures for Yan et al. paper entitled "Pulsed forest tree-mortality events obscured by broad-scale 
global greening trends"