cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/c89ync7n6j.1
title: Pilot Study of Ride-Share Transportation Program for Patients with Abnormal Fecal Immunochemical Test Results

description: This is a dataset of patients and clinic staff who consented to the pilot rideshare program between February 18, 2022-August 31, 2023 and includes 39 participants. The data set includes demographics and answers to survey questions as well as a column to indicate whether the patient completed their ride after consent or did not complete the ride.
DOI: 10.17632/scmxgg4tsg.1
title: LINF_320035900

description: Protein of unknown function (DUF778); Leishmania infantum (strain JPCM5)
DOI: 10.17632/m6gtkn6hgj.1
title: Doppler detection triggers instantaneous escape behavior in scanning bats Dataset

description: By presenting phantom echoes to perching horseshoe bats, in this study, we revealed that they use only the Doppler shifts, not changes in the echo delay, as a cue for approaching objects. This suggests that these bats do not perceive motion in the spatiotemporal dimension as in vision, but they directly detect velocity, allowing instantaneous response to approaching threats. This dataset shows changes in the characteristics of the emitted echolocation call as a response of the bats to each stimulus.
DOI: 10.17632/7nr6443x4n.1
title: Rev_ResSoMad_Matheus

description: The objective of this research was to conduct a Systematic Literature Review (SLR) to identify scientific studies on Life Cycle Assessment and other environmental management tools applied in the management of solid wood waste. The topic contributes significantly to building mechanisms for cleaner production, given that many articles highlighted waste as an important substrate for energy generation, which avoids the use of more polluting marginal technologies.
DOI: 10.17632/3yfn2jb6p8.1
title: Large carnivore dangerousness affects the reactive spatial response of prey

description: Predators differ through different attributes: their body size, sociality, speed, preferred prey size, hunting mode, etc. Altogether these characteristics contribute to shape an overall dangerousness, which is likely to underlie the variations in the nature and strength of a prey anti-predator responses. This link, although somehow intuitive, has been rarely quantified in natural ecosystems.
The goal of this study is to compare the antipredator response of a prey to two predators with contrasting dangerousness in large terrestrial mammals, focusing on the less studied reactive spatial response. We assessed if plains zebras’ (Equus quagga) reactive spatial response differed after an encounter with African lions (Panthera leo) or spotted hyaenas (Crocuta crocuta). We expected lions to be perceived as more dangerous and hence to induce a stronger reactive spatial response than hyaenas.
Using data from GPS collars deployed simultaneously on the three species, we studied the reactive spatial responses of zebras after coming into close proximity to either predator.

We found that zebras responded differently, and more strongly to lions than to hyaenas. Indeed, zebras were twice more likely to flee after an encounter with a lion than a hyaena and, immediately after an encounter with a lion, zebras moved on average faster and further than after an encounter with a hyaena.
The results of this study are consistent with a correlation between the predator dangerousness and the strength of the prey anti-predator response. Future studies covering other pairs of large carnivores are needed to rigorously assess the role of the different predator attributes (body size, speed, preferred prey, and hunting mode).
DOI: 10.17632/rs3f6trdvw.1
title: A dataset of detailed 3D representations of Scots pine, Norway spruce needle shoots from Järvselja RAdiation transfer Model Intercomparison (RAMI) pine stand in Estonia

description: The collection and preprocessing of this dataset has been reported in detail in Pisek J., Borysenko, A., Janoutová, R., Homolová, L. 2023. Estimation of coniferous shoot structure by high precision blue light 3D photogrammetry scanning. Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2023.113568.

This dataset contains ten detailed representations of needle shoots of two species (five shoots per species) - Scots pine (Pinus sylvestris L.) and Norway spruce (Picea abies L. Karst.) - collected from trees in the Järvselja RAdiation transfer Model Intercomparison (RAMI) pine stand (58° 18′ 47.13″ N 27° 17′ 48.23″ E) in Estonia on 26th July 2022. The high resolution point clouds (in .stl format) were obtained with blue light 3D photogrammetry scanning approach. The scans can be found in the compressed file (Jarvselja_RAMIpinestand_20220726_shoot_GOMScans.zip). The other file (Jarvselja_RAMIpinestand_20220726_shoot_photos.zip) contains the reference photos of the scanned needle shoots.

The data were collected as a part of project supported from Estonian Research Council Grant PRG1405.

If using the data, please cite the above publication by Pisek et al. (2023) and this Mendeley Dataset: Pisek, Jan; Borysenko, Oleksandr (2023), “A dataset of detailed 3D representations of Scots pine, Norway spruce needle shoots from Järvselja RAdiation transfer Model Intercomparison (RAMI) pine stand in Estonia”, Mendeley Data, V1, doi: 10.17632/rs3f6trdvw.1

Detailed 3D representations of needle shoots bring many opportunities for further improvements of measurement methods in the up-scaling of optical properties for coniferous canopies. Detailed 3D representation of needle shoot in combination with radiative transfer modeling can provide a way to compensate for inaccuracies in needle optical properties measurements and improve measurements of shoot scattering properties.
DOI: 10.17632/g4ckg4s3x8.1
title: Evaluation of a CRISPR enhanced metagenomic NGS test for pandemic preparedness. Chan and Siddique et al

description: Chan and Siddique et al. 2023. Supplemental Tables S1 to S7. Please refer to the Cell Reports Methods manuscript for a full list of authors and methods.
DOI: 10.17632/fyct5d7sz7.1
title: Optimizing nitrogen estimates in common bean canopies throughout key growth stages via fusion of spectral and textural data from unmanned aerial vehicle (UAV) multispectral imagery

description: This study investigates the potential of utilizing multispectral imagery acquired from unmanned aerial vehicles (UAVs) to enhance the accuracy of leaf nitrogen content (LNC) estimation, a crucial parameter for assessing crop nitrogen status and guiding nitrogen management practices. We integrated selected vegetation indices (VIs) and texture data (gray level co-occurrence matrix - GLCM) derived from UAV-based multispectral images to estimate LNC in common bean (Phaseolus vulgaris L.). Therefore, the objectives of this study were (i) to determine the optimal VIs and texture metrics from UAV multispectral imagery for estimating LNC, and (ii) to explore the capability of integrating spectral and textural information in the improvement of N status monitoring.
DOI: 10.15468/dl.dskh9z
title: Occurrence Download

description: A dataset containing 4548382 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PhylumKey is one of (Tracheophyta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada)"
 ]
}

 The dataset includes 4548382 records from 407 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004445-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fyct5d7sz7.2
title: Optimizing nitrogen estimates in common bean canopies throughout key growth stages via spectral and textural data from unmanned aerial vehicle (UAV) multispectral imagery

description: This study investigates the potential of utilizing multispectral imagery acquired from unmanned aerial vehicles (UAVs) to enhance the accuracy of leaf nitrogen content (LNC) estimation, a crucial parameter for assessing crop nitrogen status and guiding nitrogen management practices. We integrated selected vegetation indices (VIs) and texture data (gray level co-occurrence matrix - GLCM) derived from UAV-based multispectral images to estimate LNC in common bean (Phaseolus vulgaris L.). Therefore, the objectives of this study were (i) to determine the optimal VIs and texture metrics from UAV multispectral imagery for estimating LNC, and (ii) to explore the capability of integrating spectral and textural information in the improvement of N status monitoring.
DOI: 10.17632/4kc36yjhdy.1
title: Giant Mud Crab Molting Visual Dataset

description: This dataset contains images of Giant Mud Crab growth before molting. This data is time series data that shows the growth of several crabs before it molts. The data is collected as a basis to develop an AI model that can predict the time to molt of a crab, especially Giant Mud Crab species (Scylla Serrata). The hypothesis for this data collection is that the time of a crab molting can be predicted by observing the visual cue (e.g. growth of limbs) that exist on the crab. The dataset contains image of 6 different crab that taken at the same time periods. The crab have different molting time, so the dataset has include the time-to-molt data for each image, that show how long the crab in the picture will molt. The dataset is gathered on November 2024 at a vertical crab farm in Surabaya, Indonesia.
DOI: 10.17632/bbzpxhd22j.1
title: Action recognition and object detection dataset for firearm-related actions

description: Action recognition and object detection dataset for firearm-related actions.
The dataset uploaded to the repository only contains 50% of the total videos, and within that 50%, only 30% include the .JSON files with annotations. If you would like access to the complete dataset, please contact us. Additionally, the dataset is licensed under CC BY NC 3.0. However, we do allow commercial use, but only if prior permission is obtained.
DOI: 10.17632/bbzpxhd22j.2
title: Action recognition and object detection dataset for firearm-related actions

description: Action recognition and object detection dataset for firearm-related actions.
The dataset is licensed under CC BY NC 3.0. However, we do allow commercial use, but only if prior permission is obtained.
DOI: 10.17632/hn9v9yvjps.1
title: Water solubility of olivine under deep mantle conditions and constraints on water storage and hydrous melting in the upper mantle

description: The file is the dataset for the manuscript entitled 'Water solubility of olivine under deep mantle conditions and constraints on water storage and hydrous melting in the upper mantle' by Zhang et al., including chemical composition of starting and recovered olivine samples, details of run conditions, and water contents in annealed olivine shown in the manuscript.
DOI: 10.17632/s7c5pyy87p.1
title: The lung commensal Lactobacillus protects against bacterial pulmonary infections by driving an interleukin-17 response from mucosal Vγ4+γδ T cells.

description: Original data of this manuscript.
DOI: 10.17632/dnzcszdnc2.4
title: Data for: Role of Indigenous and local knowledge in seasonal forecasts and climate adaptation: A case study of smallholder farmers in Chiredzi, Zimbabwe

description: The dataset consists of survey data collected from 100 smallholder farmers in Chiredzi district, Zimbabwe on the indigenous and local knowledge used for weather and seasonal forecasting. In addition, the dataset consists of the questionnaire survey guide used to collect the data from smallholder farmers. What is enclosed in the spreadsheet are the climate-decisions that farmers after forecasting and the overall climate adaptation responses implemented by farmers. 
The dataset is behind all the analysis conducted and presented in the article "Role of Indigenous and local knowledge in seasonal forecasts and climate adaptation: A case study of smallholder farmers in Chiredzi, Zimbabwe" published by Environmental Science and Policy journal.
DOI: 10.17632/n9ztbbbstm.1
title: Ullah etal_ISCIENCE-D-23-05286: Bioluminescence Imaging Reveals Enhanced SARS-CoV-2 Clearance in Mice with Combinatorial Regimens

description: Direct acting antivirals (DAAs) represent critical tools for combating SARS-CoV-2 variants of concern (VOCs) that have escaped vaccine-elicited spike-based immunity and future coronaviruses with pandemic potential. Here, we used bioluminescence imaging to evaluate therapeutic efficacy of DAAs that target SARS-CoV-2 RNA-dependent RNA polymerase (favipiravir, molnupiravir) or Main protease (nirmatrelvir) against Delta or Omicron VOCs in K18-hACE2 mice. Nirmatrelvir displayed the best efficacy followed by molnupiravir and favipiravir in suppressing viral loads in the lung. Unlike neutralizing antibody treatment, DAA monotherapy regimens did not eradicate SARS-CoV-2 in mice but combining molnupiravir with nirmatrelvir exhibited superior additive efficacy and led to virus clearance. Furthermore, combining molnupiravir with Caspase-1/4 inhibitor mitigated inflammation and lung pathology whereas combining molnupiravir with COVID-19 convalescent plasma demonstrated synergy, rapid virus clearance and 100% survival. Thus, our study provides insights into in vivo treatment efficacies of DAAs and other effective combinations to bolster COVID-19 therapeutic arsenal.
The excel files are arranged figure wise and contain the raw data used to generate figures shown in the manuscript "Ullah etal_ISCIENCE-D-23-05286"
DOI: 10.17632/n9ztbbbstm.2
title: Ullah etal_ISCIENCE-D-23-05286: Bioluminescence Imaging Reveals Enhanced SARS-CoV-2 Clearance in Mice with Combinatorial Regimens

description: Direct acting antivirals (DAAs) represent critical tools for combating SARS-CoV-2 variants of concern (VOCs) that have escaped vaccine-elicited spike-based immunity and future coronaviruses with pandemic potential. Here, we used bioluminescence imaging to evaluate therapeutic efficacy of DAAs that target SARS-CoV-2 RNA-dependent RNA polymerase (favipiravir, molnupiravir) or Main protease (nirmatrelvir) against Delta or Omicron VOCs in K18-hACE2 mice. Nirmatrelvir displayed the best efficacy followed by molnupiravir and favipiravir in suppressing viral loads in the lung. Unlike neutralizing antibody treatment, DAA monotherapy regimens did not eradicate SARS-CoV-2 in mice but combining molnupiravir with nirmatrelvir exhibited superior additive efficacy and led to virus clearance. Furthermore, combining molnupiravir with Caspase-1/4 inhibitor mitigated inflammation and lung pathology whereas combining molnupiravir with COVID-19 convalescent plasma demonstrated synergy, rapid virus clearance and 100% survival. Thus, our study provides insights into in vivo treatment efficacies of DAAs and other effective combinations to bolster COVID-19 therapeutic arsenal.
The excel files are arranged figure wise and contain the raw data used to generate figures shown in the manuscript "Ullah etal_ISCIENCE-D-23-05286"
DOI: 10.17632/2dm42zjbn2.1
title: How Interoceptive Awareness Promotes Decision-making: An fMRI study on Neuroforecasting Mobile Games Engagement

description: Neuroscientists in decision science have advanced an affect-integration-motivation (AIM) framework demonstrating that the neural activity associated with anticipatory affect is predictive of individual behavior and aggregate choice. While traditional psychological theories view aggregate choice as a summation of individual choices, it remains unclear why sampled neural responses can be used to forecast aggregate choices above and beyond sampled individual choices and self-reported affective ratings. We hypothesized that interoceptive awareness may bridge the gap between predicting individual choice and aggregate choice, such that individuals who are better at accessing their bodily sensations are more likely to integrate their physiological responses into decision making, as manifested in consistent self-reporting, behavior, and neural measures jointly forecasting aggregate choice. Therefore, we examined whether participants’ neural responses, choices, and affective ratings forecast download times and revenue from mobile games in app markets, and investigated the role of interoceptive awareness by comparing prediction models from different subgroups of participants. Generally, positive arousal and neural activity in posterior cingulate cortex positively predict individuals’ decisions to download mobile games, whereas individual download choices and sampled affective neural responses (nucleus accumbens, NAcc) forecast aggregate download times. For the high interoceptive sensibility (IS) group, their sampled positive arousal and brain activity associated with positive affect (NAcc) and value integration (medial prefrontal cortex, mPFC) collectively forecasted aggregate download times while, for the low IS group, it was their individual choice that forecasted aggregate download times. Finally, positive arousal robustly predicted aggregate revenue in all groups except for individuals with low interoceptive accuracy. These findings not only support, but also extend the AIM framework by shedding light on the influence of interoceptive awareness on the neurobehavioral mechanisms underlying human decision-making.

Keywords: forecasting, interoceptive awareness, fMRI, accumbens, mPFC
DOI: 10.17632/rgn4fm9cr7.1
title: raw data1-3 -iTRAQ-Based Phosphoproteomic Analysis Exposes Molecular Changes in the Small Intestinal Epithelia of Cats after Toxoplasma gondii Infection

description: this folder have 3 files：Rawdata_1.tar.zg , Rawdata_2.tar.zg , Rawdata_3.tar.zg , 
 Rawdata.md5:
41d274344feacfd787e526e755952537 Rawdata_1.tar.gz
3edc0a6b11ef48dd81395824a47f2118 Rawdata_2.tar.gz
727e450ce6545e9088ab0f87e37edd0f Rawdata_3.tar.gz

this paper have 9 files of Rawdatas.
DOI: 10.17632/8ny5r3pjcd.1
title: LINF_040015400

description: COPI associated protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/xrw55xxbvp.1
title: LINF_040015500

description: acyltransferase-like protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/y6xmrrystx.1
title: Surface complexation of rare earth elements on goethite in sea-floor hydrothermal environment: Insight from first principles simulations

description: free energy data and atomic structures used for REEs complexation on goethite
DOI: 10.17632/khpy7knyrb.1
title: LINF_040015600

description: acyltransferase-like protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/zhm4kn6sfn.3
title: Test-bed Dataset for Optical-Based In-Body Communications Research

description: This dataset contains measurement data from a test-bed specifically for optical-based in-body communication research. The dataset includes three files: a free-space channel, an optical phantom, and biological tissues using a fresh pork meat sample in an ex-vivo experiment. The data (in .xlsx format) presents the impact of controlling the Near-infrared LED's current and adjusting the photodetector's gain setting on the received optical power. In this dataset, two types of receivers were used for the mentioned test bed: an optical power meter and a photodetector module. The optical power meter can be controlled manually for its attenuation, but in this dataset, we used two settings: 0 dB and -4.30 dB to match the photodetector reading. The measurement using a photodetector amplifier module was obtained by extracting the photodetector's output voltage read from the oscilloscope based on the provided datasheet. However, it should be normalized by multiplying it with a specific value. The optical power meter is a NIST-calibrated device dedicated to measuring absolute optical power. Then, the photodetector module, as a device for comparison, is typically used for detecting light and is employed to receive optical signals. Here, we used it as a device to measure relative optical power by extracting its voltage output to optical power in a watt unit. The free space test comprises 5 cm, 7.5 cm, 10 cm, 12.5 cm, and 15 cm of optical distance. The test with samples involved tissue-mimicking phantom (human soft tissue) and actual biological tissues, i.e., pork meat samples containing fat, muscle, and bone. This dataset provides valuable information regarding the standardized test-bed for researchers working in optical-based in-body communication studies, especially when using the near-infrared spectrum 810 nm, which was considered good for penetrating the human body. It is expected that this dataset will also be a good reference for researchers working on Optical Wireless Power Transfer (OWPT) in a free-space setting or through the human body.
DOI: 10.17632/h6jhc3ynff.1
title: Efficacy of plant extracts against flower bean thrips data

description: The data sets collected were for effects of plant extracts on mortality of flower bean thrips and secondary metabolites of various aqueous plant extracts. The mortality induced by the plant extracts on the flower bean thrips data was collected in a period of 7 days post application. The data was collected in both laboratory and screenhouse trials. Phytochemical analysis for both qualitative and quantitative analysis data was taken. Quantitative data emphasized on the presence or absence of the major phytochemicals. The data collected through LC-MS analysis of the plant extracts targeted to quantify the concentration of phenolic, terpenoids, and organosulfur compounds in the plant extracts.
DOI: 10.17632/w3jctgv4fs.1
title: Raw data for "New mutations in the fission yeast spindle pole body protein Ppc89 lead to cell division defects" part 2

description: Raw data associated with the manuscript within the title published in the Journal G3.
DOI: 10.17632/rgn4fm9cr7.2
title: raw data1-3 -iTRAQ-Based Phosphoproteomic Analysis Exposes Molecular Changes in the Small Intestinal Epithelia of Cats after Toxoplasma gondii Infection

description: this folder have 3 files：Rawdata_1.tar.zg , Rawdata_2.tar.zg , Rawdata_3.tar.zg , 
 Rawdata.md5:
41d274344feacfd787e526e755952537 Rawdata_1.tar.gz
3edc0a6b11ef48dd81395824a47f2118 Rawdata_2.tar.gz
727e450ce6545e9088ab0f87e37edd0f Rawdata_3.tar.gz

this paper have 9 files of Rawdatas.
DOI: 10.17632/vrp97d6vjr.2
title: PSMA-RGS (GR2018-12368369)

description: Database for patients included in the prospective phase 2 study PSMA-RGS (GR2018-12368369). Data dictionary is included in the name of the variables and the coding is separated by an underscore. Enclosed you can also find a CSV file with the coding.
DOI: 10.17632/9myyyp9878.1
title: Raw data for "New mutations in the core Schizosaccharomyces pombe spindle pole body scaffold Ppc89 reveal separable functions in regulating cell division" part 4

description: Raw data associated with the manuscript within the title published in the Journal G3.
DOI: 10.17632/cgtn9t5ykb.1
title: Raw data for "New mutations in the core Schizosaccharomyces pombe spindle pole body scaffold Ppc89 reveal separable functions in regulating cell division" part 7

description: Raw data associated with the manuscript within the title published in the Journal G3.
DOI: 10.17632/xfjmxnfhtc.1
title: Data set for 18 Gy proton at different rates in Sprague Dawley rats

description: Adult male Sprague Dawley rats received a single 18 Gy fraction of cranial irradiation with protons at 1 Gy/s (Conv), 60 Gy/s (FLASH-60), 95 Gy/s (FLASH-95), or sham treatment (Control). Rats were tested in open-field, acoustic (ASR) and tactile startle (TSR), novelty preference, radial water maze (RWM), Morris water maze (MWM), Cincinnati water maze configurations A and B (CWM-A CWM-B), and novelty tests.