cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15129/8823c26c-1692-4824-9ac6-bf9a66af98db
title: Data for: "Portable single-beam cesium zero-field magnetometer for magnetocardiography"

description: Data for: "Portable single-beam cesium zero-field magnetometer for magnetocardiography", https://doi.org/10.1117/1.JOM.3.4.044501. Full data collection methods described in paper. Data is provided in a compressed folder. Within the folder an excel workbook file (.xlsx) containing all data pertaining to each figure is found, titled by figure. Within each figure file, separate tabs indicate data for sub figures.
DOI: 10.57745/5mjj1t
title: data multifunctionality.tab

description: :unav
DOI: 10.57745/jlshf6
title: Variables dictionnary.pdf

description: :unav
DOI: 10.25405/data.ncl.24566740
title: Bioprinted autologous human skin equivalents

description: Dataset contains data underpinning the publication "Bioprinted autologous human skin equivalents for in vitro testing of therapeutic antibodies"
DOI: 10.25405/data.ncl.24566740.v1
title: Bioprinted autologous human skin equivalents

description: Dataset contains data underpinning the publication "Bioprinted autologous human skin equivalents for in vitro testing of therapeutic antibodies"
DOI: 10.17031/656dc18fa6b5a
title: CPR Standard Areas B6+C7 top 10
DOI: 10.57754/fdat.rwswf-3wt75
title: Prior inference

description: Experiment 1
Inferring preferences
The goal of Experiment 1 is to check the inferences of the pragmatic speaker having observed that a listener selects some objects in response to an utterance u. Is it possible to draw inferences about the most likely preferences the listener had when making her choice? Can this inference process be modeled by our RSA model—that is, by recursive Bayesian inference?
Task. Participants were presented with a series of reference game scenarios modeled after Figure 1 from (Frank & Goodman, 2012). Each scenario featured two people (simulated speaker and listener) and three objects. The sets of objects used could vary along three dimensions (shape, texture and color). The speaker produced a single-word utterance (e.g. "cloud") to refer to one of the objects and the listener picked one of the objects in response. Experiment participants were told that the listener might have a preference for certain object features: For example, she might prefer clouds over squares, or red things over green things. The participants' task was to infer those preferences by adjusting the sliders for each of the features after observing the speaker's utterance and the listener's object choice.
                           
Experiment 2
Epistemic utterance choice
The goal of Experiment 2 is to check the predictions of the strategic utterance selection model. Given a set of potential referents S, will participants reason pragmatically about the anticipated potential epistemic utility of utterances u∈ U for inferring the listener's preferences?
Task. Participants encountered a reference game scenario similar to Experiment 1. The task was to help the speaker choose an utterance that was most likely to reveal the listener's shape, pattern or color preferences. The same sets of objects from Experiment 1, which could vary along three dimensions, were used.  Each trial featured a set of three objects. Participants adjusted sliders to indicate whether a single-feature utterance could help the speaker learn about the preferences of their listener. Potential utterances corresponded to the features of the objects present; depending on the number of unique features, participants adjusted between three and nine sliders.
 
description: Keywords: Pragmatics, RSA, reference games, Bayesian inference
DOI: 10.6084/m9.figshare.24720948
title: pacific_release_data.csv

description: Release data
DOI: 10.6084/m9.figshare.24720279.v1
title: Prognostic impact of suspicious EALNs on patient survival in advanced ovarian cancer - Data Availibility

description: The objective of this study was to evaluate the clinical impact of suspicious extra-abdominal lymph nodes (EALNs) identified preoperatively on CT and/or PET/CT images in advanced ovarian cancer.
DOI: 10.6084/m9.figshare.24720279
title: Prognostic impact of suspicious EALNs on patient survival in advanced ovarian cancer - Data Availibility

description: The objective of this study was to evaluate the clinical impact of suspicious extra-abdominal lymph nodes (EALNs) identified preoperatively on CT and/or PET/CT images in advanced ovarian cancer.
DOI: 10.21227/4bkv-br07
title: Light Interference Event Dataset

description: This dataset, referred to as LIED (Light Interference Event Dataset), is showcased in the article titled 'Identifying Light Interference in Event-Based Vision'. We proposed the LIED, it has three categories of light interference, including strobe light sources, non-strobe light sources and scattered or reflected light. Moreover, to make the datasets contain more realistic scenarios, the datasets include the dynamic objects and the situation of camera static and the camera moving. LIED was recorded by the DAVIS346 sensor. It provides both frame and events with the resolution of 346 * 260. All the sequences were collected indoors or outdoors, and the DAVIS346 was either fixed or hand-held. The fix setup represents the static scene and the hand-held setup is for the dynamic scene, which includes a variety of non-rigid camera motions.
DOI: 10.58099/pk/vilpy5
title: Heterojunction nanoarchitectonics of WOx/Au-g-C3N4 with efficient photogenerated carrier separation and transfer toward improved NO and benzene conversion

description: In this study, WOx/Au-g-C3N4 heterostructures are synthesized using two-step thermal polymerization and solvothermal treatment methods in this paper. Small Au nanoparticles are incorporated in superior thin g-C3N4 via mechano-chemical pre-reaction and two-step thermal polymerization (treated at 500 and 700 celsius). Enhanced photocurrent density is observed after incorporation of Au, which is also in good agreement with the photocatalytic activity (H2 generation and CO2 reduction) data. Layered WOx with abundant oxygen vacancies are further incorporated into Au-modified g-C3N4 nanosheets to form heterojunctions possessing excellent photocatalytic CO2 photo-reduction performances with CO and CH4 generation rate of 5.64 and 2.58 mmol/g/h.
DOI: 10.6084/m9.figshare.24598056
title: Green waste-derived compost (GWC) alleviates drought stress and promotes sugar beet productivity and biofortification

description: Green waste-derived compost (GWC) is a valuable soil amendment for improving soil organic matter and decreasing waste products and potential pollutants. The study was carried out to evaluate the effect of GWC application on the yield and quality of sugar beet under deficit irrigation conditions using different irrigation systems. A field experiment was conducted using the commercial sugar beet variety Gazelle in sandy soil. Two doses (0 and 14 t ha<sup>−1</sup>) of GWC were applied to the soil. Three water deficiency levels (60, 80 and 100% of the soil field capacity) under either drip and sprinkler irrigation systems were applied. The application of 14 ton ha<sup>−1</sup> of GWC resulted in the highest root and recoverable sugar yields, especially under the well-irrigated conditions under drip irrigation. Sugar beet root biofortification and juice quality were also significantly improved under drip irrigation in response to the application of 14 ton ha<sup>−1</sup> of GWC by increasing sucrose content, quality index (Qz)% and recoverable sugar (RS)%. The application of GWC under drip irrigation enhanced water use efficiency for root (WUE<sub>RY</sub>) and recoverable sugar yields (WUE<sub>RSY</sub>), in particular under drip irrigation and water deficit conditions (60% of the soil field capacity). The soil physicochemical properties were significantly improved in response to the application of GWC. GWC application promoted the yield and biofortification of sugar beet by improving the soil physiochemical properties, and nutrient mobilization and uptake. The application of GWC is essential for sustainable sugar beet production and efficient irrigation water use in sandy soils.
DOI: 10.6084/m9.figshare.24598056.v1
title: Green waste-derived compost (GWC) alleviates drought stress and promotes sugar beet productivity and biofortification

description: Green waste-derived compost (GWC) is a valuable soil amendment for improving soil organic matter and decreasing waste products and potential pollutants. The study was carried out to evaluate the effect of GWC application on the yield and quality of sugar beet under deficit irrigation conditions using different irrigation systems. A field experiment was conducted using the commercial sugar beet variety Gazelle in sandy soil. Two doses (0 and 14 t ha<sup>−1</sup>) of GWC were applied to the soil. Three water deficiency levels (60, 80 and 100% of the soil field capacity) under either drip and sprinkler irrigation systems were applied. The application of 14 ton ha<sup>−1</sup> of GWC resulted in the highest root and recoverable sugar yields, especially under the well-irrigated conditions under drip irrigation. Sugar beet root biofortification and juice quality were also significantly improved under drip irrigation in response to the application of 14 ton ha<sup>−1</sup> of GWC by increasing sucrose content, quality index (Qz)% and recoverable sugar (RS)%. The application of GWC under drip irrigation enhanced water use efficiency for root (WUE<sub>RY</sub>) and recoverable sugar yields (WUE<sub>RSY</sub>), in particular under drip irrigation and water deficit conditions (60% of the soil field capacity). The soil physicochemical properties were significantly improved in response to the application of GWC. GWC application promoted the yield and biofortification of sugar beet by improving the soil physiochemical properties, and nutrient mobilization and uptake. The application of GWC is essential for sustainable sugar beet production and efficient irrigation water use in sandy soils.
DOI: 10.6084/m9.figshare.24050089
title: Effects of arbuscular mycorrhizal fungi inoculation on infection and growth of rice and pearl millet in upland fields with three water regimes

description: Inoculation with arbuscular mycorrhizal fungi (AMF) may enhance crop growth in upland fields, depending on the water regime. To quantify changes in AMF infection rate and subsequent effects on nutrient uptake and growth, we grew rice (wetland crop) and pearl millet (dryland crop) genotypes with or without the commercial inoculant Dr. Kinkon (<i>Glomus</i> sp. R10) in Andosol upland fields in 2020 and 2021. Root infection rates were measured in shallow (0–10 cm) and deep (20–30 cm) layers under three water regimes: well-irrigated, half-irrigated, and non-irrigated. Inoculation enhanced shoot dry weight (SDW), plant height, tiller number, phosphorus (P) uptake, leaf water potential, photosynthetic rate (measured only in 2021) and root transversal area. The increase in SDW with inoculation was higher under well-irrigated than under water-limited conditions. The increment in pearl millet SDW was related to higher P uptake associated with higher infection rates, whereas that in rice SDW was related to maintenance of leaf water potential, greater root transversal area and root length density, and higher P uptake but not to infection rate parameters. Inoculation increased mycorrhizal and vesicular infection rates with the similar tendency for arbuscular infection rate and qPCR. Infection rates were similar across water regimes in both years despite significant differences in plant growth parameters with higher rates in deep than shallow layers. AMF inoculation enhanced infection rates, mostly independent of water regime, but plant growth enhancement was greater under the well-irrigated treatment and was more directly linked with infection rates in pearl millet.
DOI: 10.6084/m9.figshare.24050089.v1
title: Effects of arbuscular mycorrhizal fungi inoculation on infection and growth of rice and pearl millet in upland fields with three water regimes

description: Inoculation with arbuscular mycorrhizal fungi (AMF) may enhance crop growth in upland fields, depending on the water regime. To quantify changes in AMF infection rate and subsequent effects on nutrient uptake and growth, we grew rice (wetland crop) and pearl millet (dryland crop) genotypes with or without the commercial inoculant Dr. Kinkon (<i>Glomus</i> sp. R10) in Andosol upland fields in 2020 and 2021. Root infection rates were measured in shallow (0–10 cm) and deep (20–30 cm) layers under three water regimes: well-irrigated, half-irrigated, and non-irrigated. Inoculation enhanced shoot dry weight (SDW), plant height, tiller number, phosphorus (P) uptake, leaf water potential, photosynthetic rate (measured only in 2021) and root transversal area. The increase in SDW with inoculation was higher under well-irrigated than under water-limited conditions. The increment in pearl millet SDW was related to higher P uptake associated with higher infection rates, whereas that in rice SDW was related to maintenance of leaf water potential, greater root transversal area and root length density, and higher P uptake but not to infection rate parameters. Inoculation increased mycorrhizal and vesicular infection rates with the similar tendency for arbuscular infection rate and qPCR. Infection rates were similar across water regimes in both years despite significant differences in plant growth parameters with higher rates in deep than shallow layers. AMF inoculation enhanced infection rates, mostly independent of water regime, but plant growth enhancement was greater under the well-irrigated treatment and was more directly linked with infection rates in pearl millet.
DOI: 10.5281/zenodo.8356138
title: Yield increases mediated by pollination and carbon payments can offset restoration costs in coffee landscapes

description: This dataset and code can be used to reproduce results from the article with the same title


The scripts to generate the farm-level scenarios and the regional-level scenarios are as following:



	
farm-level = optimization_scenarios.R
	
regional-level = optimization_scenarios_rl.R



The properties boundaries and APP limits for the municipalities considered in this study can be obtained from the adress:



	
https://www.car.gov.br/publico/imoveis/index.



The list of municipalities is located at the file "list_mun.csv" within the tables folder.


The raster with land-use and land-cover classes is classified as follows:



	
class 0: all other uses;
	
class 1: natural vegetation;
	
class 2: coffee;



The estimated yield per property is at the yield_estimation.csv file. Each property (n=507) is identified with an unique ID. The dataframe contains:



	
the predicted yield in coffee bags/ha (predictec_coffee_bags);
	
yield in USD/ha (yield_USD_future); the difference in yield bewteen the future scenarios and the baseline scenario (diff_USD);
	
the net present value of the difference between the future scenarios and the baseline (npv_yield_USD_future)



The script "merging_scen_land_use.R" was used to combine the restoration scenarios generated by the optimization model with the baseline land-use and land-cover;
DOI: 10.5281/zenodo.8356139
title: Yield increases mediated by pollination and carbon payments can offset restoration costs in coffee landscapes

description: This dataset and code can be used to reproduce results from the article with the same title


The scripts to generate the farm-level scenarios and the regional-level scenarios are as following:



	
farm-level = optimization_scenarios.R
	
regional-level = optimization_scenarios_rl.R



The properties boundaries and APP limits for the municipalities considered in this study can be obtained from the adress:



	
https://www.car.gov.br/publico/imoveis/index.



The list of municipalities is located at the file "list_mun.csv" within the tables folder.


The raster with land-use and land-cover classes is classified as follows:



	
class 0: all other uses;
	
class 1: natural vegetation;
	
class 2: coffee;



The estimated yield per property is at the yield_estimation.csv file. Each property (n=507) is identified with an unique ID. The dataframe contains:



	
the predicted yield in coffee bags/ha (predictec_coffee_bags);
	
yield in USD/ha (yield_USD_future); the difference in yield bewteen the future scenarios and the baseline scenario (diff_USD);
	
the net present value of the difference between the future scenarios and the baseline (npv_yield_USD_future)



The script "merging_scen_land_use.R" was used to combine the restoration scenarios generated by the optimization model with the baseline land-use and land-cover;
DOI: 10.34740/kaggle/dsv/7120597
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.24720780
title: Pollinators enhance the production of a superior strawberry – A global review and meta-analysis

description: Strawberry (<i>Fragaria x ananasa</i> Duch.) is the most economically important soft fruit worldwide. While self- and wind-pollination is possible for strawberry, without biotic pollination (animal pollinators, including artificial pollination by humans) rate of strawberry flowers rarely exceeds 60% and thus fruit production is decreased. At a time of widely recognized decline of pollinators and increasing global demand for balanced food, we need a comprehensive understanding of the worldwide valuation of these ecosystem services. In this paper, we use a transparent and systematic review process to detect gaps in the available literature. By applying multilevel meta-analytic models, we quantified the contribution of biotic pollinators and different pollinator types to strawberry fruits. Our review showed that research on strawberry pollination is clearly concentrated in European countries, with limited information for Asia – the largest strawberry producer. Additionally, we detected disproportions across research topics, stressing the need for further research on pollinator preferences between strawberry cultivars and the occurrence of managed and wild bee communities. The overall estimate of pollination benefit to strawberry crops is on average a 25% reduction in fruit weight for plants not receiving a biotic pollination treatment. This benefit is similar regardless of the pollinating species. The mean amount globally (2011–2020) receivable by producers from purchasers due to biotic pollination is $5.36 billion per year. Moreover, we demonstrated that strawberry plants that are dependent on self- or wind-pollination set on average 43% fewer seeds (fertilized achenes) than biotically pollinated plants. Such a huge reduction in seed set can cause fruit deformation and reduce the commercial value of strawberries. Together, these findings indicate the critical role of biotic pollination in strawberry production and quality. To ensure pollination services in strawberry farms and produce the best-quality fruits, growers should take action to sustain healthy pollinator communities and utilize them with the optimal cultivar.
DOI: 10.6084/m9.figshare.24720894
title: Data file 1: COG annotation results of differential proteins under Pb stress

description: COG annotation results of differential proteins under Pb stress
DOI: 10.6084/m9.figshare.24720894.v1
title: Data file 1: COG annotation results of differential proteins under Pb stress

description: COG annotation results of differential proteins under Pb stress
DOI: 10.58099/pk/3qoml8
title: Z-scheme WOx/Cu-g-C3N4 heterojunction nanoarchitectonics with promoted charge separation and transfer towards efficient full solar spectrum photocatalysis

description: A heterostructure photocatalyst constructed based on the idea of nanoarchitectonics using the combination of g-C3N4, metal and an additional semiconducting nanocomposite is investigated in this paper. Z-scheme tungsten oxide incorporated copper modified graphitic carbon nitride (WOx/Cu-g-C3N4) heterostructures are fabricated via immobilization of WOx on Cu nanoparticles modified superior thin g-C3N4 nanosheets. Mechano-chemical pre-reaction and a two-step high-temperature thermal polymerization process are the keys in attaining homogeneous distribution of Cu nanoparticles in g-C3N4 nanosheets. The horizontal growth of homogeneously distributed WOx nanobelts on Cu modified g-C3N4 (Cu-g-C3N4) base via solvothermal synthesis is achieved. The photocatalytic performances of the heterostructures are evaluated through water splitting and CO2 photoreduction measurements in full solar spectrum irradiation condition.
DOI: 10.34740/kaggle/dsv/7120613
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.24720987
title: Data file 2: GO annotation results of differential proteins under Pb stress

description: GO annotation results of differential proteins under Pb stress
DOI: 10.6084/m9.figshare.24720987.v1
title: Data file 2: GO annotation results of differential proteins under Pb stress

description: GO annotation results of differential proteins under Pb stress
DOI: 10.17909/7an5-yp54
title: Data used in paper
DOI: 10.6084/m9.figshare.24721011
title: Data file 3: IPR annotation results of differential proteins under Pb stress

description: IPR annotation results of differential proteins under Pb stress
DOI: 10.6084/m9.figshare.24721011.v1
title: Data file 3: IPR annotation results of differential proteins under Pb stress

description: IPR annotation results of differential proteins under Pb stress
DOI: 10.6084/m9.figshare.24721023
title: Data file 4: KEGG annotation results of differential proteins under Pb stress

description: KEGG annotation results of differential proteins under Pb stress
DOI: 10.6084/m9.figshare.24721023.v1
title: Data file 4: KEGG annotation results of differential proteins under Pb stress

description: KEGG annotation results of differential proteins under Pb stress
DOI: 10.6084/m9.figshare.24721038
title: Data file 5: Subcellular localization results of differential proteins under Pb stress

description: Subcellular localization results of differential proteins under Pb stress
DOI: 10.6084/m9.figshare.24721038.v1
title: Data file 5: Subcellular localization results of differential proteins under Pb stress

description: Subcellular localization results of differential proteins under Pb stress
DOI: 10.5281/zenodo.10213657
title: Supplementary PyMOL sessions for "Small protein blockers of human IL-6 receptor alpha inhibit proliferation and migration of cancer cells"

description: PyMOL sessions with summary of NEF variants docking to IL-6R. Supplementary to "Small protein blockers of human IL-6 receptor alpha inhibit proliferation and migration of cancer cells".
DOI: 10.6084/m9.figshare.24721050
title: Data file 6: Quantitative results for all identified proteins under Pb stress

description: Quantitative results for all identified proteins under Pb stress
DOI: 10.6084/m9.figshare.24721050.v1
title: Data file 6: Quantitative results for all identified proteins under Pb stress

description: Quantitative results for all identified proteins under Pb stress
DOI: 10.25403/upresearchdata.23978784.v1
title: Validation of 5 analytical methods (pH, peptide concentration, loss on drying radiochemical purity, peptide identity and purity) for quality control of the kits used for Ga-68 radiolabeling

description: Kits are gaining popularity as a known convenient labelling procedure for gallium-68 based radiopharmaceuticals in the Nuclear Medicine clinic. Cold kits are a benefit to small radiopharmaceutical sites, but their quality should be checked in the same way as if they were produced by big pharmaceutical producers. Set of data from different validated methods (pH, concentration, radiochemical purity, identity and loss on drying) are presented. Methods are validated according to European Pharmacopoeia and such are used for quality control of radiopharmaceutical kits.