cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e116352v1-112320
title: Replication data for: Long-Run Effects of Temporary Incentives on Medical Care Productivity

description: We show that costs of adjustment as opposed to low perceived value may explain why improved quality care practices diffuse slowly in the medical industry. Using a randomized field experiment conducted in Argentina, we find that temporary financial incentives paid to health clinics for the early initiation of prenatal care motivated providers to test and develop new strategies to locate and encourage pregnant women to seek care in the first trimester of pregnancy. These innovations raised the rate of early initiation of prenatal care by 34 percent while the incentives were being paid in the treatment period. We also find that this increase persisted for at least 24 months after the incentives ended. We show that this is consistent with the presence of up-front costs from adjusting care processes that made it too expensive to develop and implement new strategies to increase early initiation of care in the absence of the incentives. Despite large increases in early initiation of prenatal care, we find no effects on health outcomes.
DOI: 10.6084/m9.figshare.19291445.v2
title: A chromosome-scale genome assembly of Malus domestica, a multi-stress resistant and high-quality apple variety

description: <b>Background: </b>Hanfu apples have the advantages of cold resistance, drought resistance, and high yield, and they have become the main variety grown in the cool areas of Northeast, Northwest, and North China (40–42° N), which have an average temperature of -12 to -10 ℃ in January.<b></b> <b>Results: </b>Here, we proposed a chromosome-level Hanfu genome assembly using PacBio long reads, Illumina short reads, 10× Genomics linked reads, and Hi-C data. The total contig length was 628.99 Mb, and the N50 contig length was 1.25 Mb. The total scaffold length was 631.76 Mb, the N50 scaffold length was 36.18 Mb, and the genome mount rate was 99.18%. The Hanfu genome had a total of 39 617 genes, and we predicted the function for 38 816 (98.0%) of these. Repetitive sequences accounted for 54.29% of the genome. Evolutionary analysis showed that the differentiation time of apples and pears was approximately 8.9 Mya. Whole genome duplication (WGD) analysis revealed a γ event in Hanfu, which was a recent whole genome duplication when the 4dTv value was 0.075. By comparing and analyzing the genomic differences between Hanfu and the homozygous line HFTH1, three variation types were determined: single-nucleotide polymorphisms (SNPs), insertions/deletions (indels), and structural variants (SVs). We identified 605 species-specific gene families. Among these, 122 Hanfu gene families (including 814 genes) significantly expanded, while 421 gene families significantly contracted (including 1528 genes), and there are 61 candidate genes subject to positive selection. A significant expansion of genes involved in the MAPK signal transduction pathway, calcium-mediated signal transduction pathway, plant hormone signal transduction pathway, sugar metabolism pathway, and phloem development were found; this may explain the formation of ‘Hanfu’s’ unique phenotype. <b>Conclusions:</b> This high quality genome will help explain the formation mechanism of the unique phenotype of Hanfu. In addition, it can provide reference for the genetic improvement of apples and for breeding more varieties with high resistance and high quality.
DOI: 10.7488/1123f1c2-ac13-4091-8b1d-75c656643456
title: ASHAs' workload and its determinants

description: A questionnaire survey among ASHAs (Accredited Social Health Activists) for an objective assessment of workload and in-depth interviews with ASHAs and key informants explored the workload determinants, perceptions, experiences and attitudes.
DOI: 10.26165/juelich-data/gcbnma
title: EL Dataset of PV modules

description: This repository provides a dataset of solar cell images extracted from high-resolution electroluminescence images of photovoltaic modules. The dataset contains 2,624 samples of 300x300 pixels 8-bit grayscale images of functional and defective solar cells with varying degree of degradations extracted from 44 different solar modules. The defects in the annotated images are either of intrinsic or extrinsic type and are known to reduce the power efficiency of solar modules. All images are normalized with respect to size and perspective. Additionally, any distortion induced by the camera lens used to capture the EL images was eliminated prior to solar cell extraction. Every image is annotated with a defect probability (a floating point value between 0 and 1) and the type of the solar module (either mono- or polycrystalline) the solar cell image was originally extracted from. The individual images are stored in the images directory and the corresponding annotations in labels.csv. --More explanations in the README file--
DOI: 10.26165/juelich-data/tvwuup
title: ELPVPower: A dataset for large scale PV power prediction using EL images of cells

description: Measurements are provided in the folder `data` as PNG-Images. The original measurements have been rescaled to the range [0, 255] globally, such that intensities between measurements are comparable. The dataset comes with a file `data.csv` that provides additional meta data associated with the measurements. This includes: peak_power: The measured maximum power of the module in [W] nominal_power: The given nominal power of the module in [W] pressure: The pressure that has been applied during mechanical load testing on a linear scale [0, 1] excitation_class: Indicates, whether this measurement has been taken at a `high` or `low` excitation current module_type: Module types as specified in the paper module_instance: Some of the module identities have been measured multiple times under varying conditions. Here, we specify the distinct instances power_group: Discretized `peak_power` used for stratified sampling fold_i_train: Indicates, whether this module is part of the i'th training fold of the crossvalidation
DOI: 10.34740/kaggle/dsv/3309595
title: Mahanagar Yatayat Dataset
DOI: 10.21942/uva.14618085
title: SACA Figures

description: These are the figures generated by SACA for QA/QC.<br>https://bitbucket.org/SSamanipour/cent2profile.jl/src/master/<br>
DOI: 10.21942/uva.14618085.v1
title: SACA Figures

description: These are the figures generated by SACA for QA/QC.<br>https://bitbucket.org/SSamanipour/cent2profile.jl/src/master/<br>
DOI: 10.21942/uva.14501100
title: NORMAN Collaborative Trial on Passive Sampling and Non-target Screening (NTS) - Instruction file

description: This document is the detailed instructions provided to the trial.<br>
DOI: 10.21942/uva.14501100.v2
title: NORMAN Collaborative Trial on Passive Sampling and Non-target Screening (NTS) - Instruction file

description: This document is the detailed instructions provided to the trial.<br>
DOI: 10.5281/zenodo.6360831
title: Dataset of the Paper: "Decisions in Continuous Integration and Delivery: An Exploratory Study"

description: <strong>dataset.xlsx</strong> includes the links collected from Budibase closed issues, and the classification of the decisions extracted from these issues.
DOI: 10.5281/zenodo.6360830
title: Dataset of the Paper: "Decisions in Continuous Integration and Delivery: An Exploratory Study"

description: <strong>dataset.xlsx</strong> includes the links collected from Budibase closed issues, and the classification of the decisions extracted from these issues.
DOI: 10.25345/c5qz22m3s
title: MassIVE MSV000089072 - A circulating risk score, based on combination of exo-miR130a-3p and fibrinopeptide A, as predictive biomarker of relapse in early stage non-small cell lung cancer patients.
title: To date, the 5-year overall survival of early-stage non-small cell lung cancer (NSCLC) is still unsatisfactory at 59.8%. Therefore, reliable prognostic factors are needed. Growing evidence shows that cancer progression may depend on a double interconnection between cancer cells and the surrounding tumor microenvironment; hence, circulating molecules may represent promising markers of cancer recurrence. Here, we performed in-depth analysis of circolome-derived markers, including Exo-miRnome and peptidome in 67 radically resected NSCLCs, to identify a prognostic score. The miRnome profile selected exo-miR130a-3p as the most overexpressed in patients with relapse. Peptidome analysis identified 4 progressively more degraded forms of fibrinopeptide A (fpA) in progressing patients. Notably, the combination of exo-miR130a-3p and the greatest fpA (2-16) built a score where high-risk patients had 24 months of disease-free survival. Moreover, in vitro transfections showed that higher levels of exo-miR-130a-3p lead to a deregulation of some pathways involved in metastasis, in angiogenesis, such as in coagulation which could be linked to the FpA reduction. In conclusion, the identified risk score integrating circulating markers can help clinicians predict early-stage NSCLC patients who are more likely to relapse after initial surgery.
DOI: 10.5517/ccdc.csd.cc10qqk0
title: CCDC 945362: Experimental Crystal Structure Determination

description: Related Article: Surya Cholayil Palapetta, Harichandran Gurusamy, Sarojinidevi Krishnan, Shanmugam Ponnusamy|2022|ACS Omega|7|7874|doi:10.1021/acsomega.1c06781
DOI: 10.5066/p92nxstq
title: Sensitivity and precision of stream permanence estimates (1977-2019) from the USGS Thornthwaite Monthly Water Balance Model in the Pacific Northwest, USA

description: This dataset includes inputs and results for parameterizing the USGS Thornthwaite Monthly Water Balance Model (MWBM) to simulate annual stream permanence on National Hydrography Dataset (NHD) stream reaches. Also included are results from sensitivity analysis of MWBM parameters to final stream permanence classification (permanent or nonpermanent). The dataset includes files that link PRISM climate grids to NHD catchments and flowlines. Data tables describe the sensitivity of MWBM stream permanence classifications to each of the altered MWBM parameters. Suitable MWBM parameter sets, which resulted in accuracy of at least 65% when compared to observed surface water conditions, for modeling stream permanence are presented with precision estimates for MWBM stream permanence classifications for NHD flowlines.
DOI: 10.26165/juelich-data/yyxpbf
title: Brain region changes in Parkinson's disease

description: SAS scripts for the analysis of morphometrical data
DOI: 10.21227/5gzt-cm67
title: Synthetic aperture radar images for cGAN training

description: Some novel methods for imaging based on synthetic aperture radar can result in images contaminated by artifacts as a consequence of pushing the limits of the algorithms. In order to mitigate the impact of this artifacts, image translation techniques can be exploited enabling to turn the SAR image into a cleaner one. For this purpose, multiple techniques can be used such as convolutional neural networks or generative adversial networks. However, the training of those systems can require a high number of images, which can be computationally expensive to generate. In this dataset, training images for two different problems are provided. The first one is related to This work presents an approach to enhance the quality of high-resolution images obtained by means of systems relying on synthetic aperture radar (SAR) . For this purpose, a deep learning method called conditional generative adversarial networks (cGAN) is applied to the imager outcome when it is prone to suffer artifacts. This is specially the case of novel systems pushing the limits of SAR (e.g., irregular sampling, multilayered media, etc.) resulting in very chaotic clutter and image artifacts that cannot be easily removed with conventional approaches. The cGAN can be trained to detect high-level  haracteristic features inthe image (e.g., parts of a scissor blade) so another output based on these detected features can be tailored. In other words, it can translate features contaminated by artifacts into clean features, effectively improving the quality of SAR images. Unlike other deep learning approaches, the training of the involved neural networks tends to be stable thanks to the structure based on two competing subsystems. The proposed approach is illustrated using simulated and measurement data in the context of two advanced near-field SAR systems considering: i) cylindricalmulti-layered media, and ii) freehand acquisitions. Results show that cGANs clearly outperforme conventional approaches removing most of the artifacts, enabling to produce a clean output image.
DOI: 10.6084/m9.figshare.13186762
title: In-situ monitoring of a laser metal deposition (LMD) process: comparison of MWIR, SWIR and high-speed NIR thermography

description: Additive manufacturing offers a range of novel applications. However, the manufacturing process is complex and the production of almost defect-free parts with high reliability and durability is still a challenge. Thermography is a valuable tool for process surveillance, especially in metal additive manufacturing processes. The high process temperatures allow one to use cameras usually operating in the visible spectral range. Here, we compare the results of measurements during the manufacturing process of a commercial laser metal deposition setup using a mid wavelength infrared camera with those from a short wavelength infrared camera and those from a visual spectrum high-speed camera with band pass filter in the near infrared range.
DOI: 10.6084/m9.figshare.13186762.v1
title: In-situ monitoring of a laser metal deposition (LMD) process: comparison of MWIR, SWIR and high-speed NIR thermography

description: Additive manufacturing offers a range of novel applications. However, the manufacturing process is complex and the production of almost defect-free parts with high reliability and durability is still a challenge. Thermography is a valuable tool for process surveillance, especially in metal additive manufacturing processes. The high process temperatures allow one to use cameras usually operating in the visible spectral range. Here, we compare the results of measurements during the manufacturing process of a commercial laser metal deposition setup using a mid wavelength infrared camera with those from a short wavelength infrared camera and those from a visual spectrum high-speed camera with band pass filter in the near infrared range.
DOI: 10.15139/s3/m2bcrn
title: Organizational Network Analysis of AGYW Referrals in Botswana

description: The Determined, Resilient, Empowered, AIDS-free, Mentored, and Safe (DREAMS) program, a public-private partnership, is being implemented by the United States Agency for International Development (USAID) in two districts of Botswana to address the structural drivers that increase Adolescent Girls and Young Women's (AGYW) HIV risk, including poverty, gender inequality, GBV, and a lack of education. To support the implementation of DREAMS activities in Gaborone and Kweneng East, USAID contracted Data for Impact (D4I), which is funded by USAID and the United States President’s Emergency Plan for AIDS Relief, to conduct a mixed-methods study in these districts to learn more about referral networks that provide AGYW with DREAMS-related services. D4I conducted an organizational network analysis (ONA) to map the referral network in use by DREAMS partners that provide the following services: HIV and GBV prevention, HIV testing, condom distribution and other family planning (FP) services, pre-exposure prophylaxis (PrEP), contraceptive services, post-GBV care services, and socioeconomic interventions.
DOI: 10.21227/kas2-rm52
title: Cross-correlation data from GNSS signal tracking process collected using low-cost antenna

description: Global Navigation Satellite Systems (GNSS), such as GPS (Global Positioning System), are the most widely used technology for positioning and navigation. However, the accuracy and reliability of such positioning systems, and thus a variety of location-based services, decreases in urban canyon and (partially) denied GNSS environments. In such environments, GNSS signals can be blocked, reflected or attenuated. Those effects are particularly problematic for smartphone users, since smartphones make use of smaller, low-cost, and typically linearly polarised embedded GNSS antennae. As a result, smartphones struggle to receive and track line-of-sight GNSS signals, ultimately leading to positioning errors. This paper proposes and implements a solution based on correlation features to classify and detect line of sight signals on low-cost GNSS antenna. The paper demonstrates that correlation based features can be used for distinguishing between non-line of sight and line of sight GNSS signals, even in urban canyon or partially denied GNSS environments. This allows for the improved reliability of the final position solution, as well as providing a better understanding of the environment and its interaction with the navigation signals.
DOI: 10.23729/beab273c-478a-4217-bfac-45b0f500bcc1
title: Antiproton mylar paper

description: Data on antiproton transmission through polymer foils. Contains all the data, code, and scripts used for the publication "Large nuclear scattering effects in antiproton transmission through polymer and metal-coated foils" by Nordlund, Hori and Sundholm.
DOI: 10.25810/h6rm-jm46
title: Data set for the paper "Discrete Aurora on the Nightside of Mars: Occurrence Location and Probability"

description: This study represents the first attempt to predict the occurrence location and probability of discrete electron aurora on the nightside of Mars. We run a 3-D time-dependent magnetohydrodynamic model to characterize the spatial and temporal dynamics of magnetic field and plasma distributions over the course of one planetary rotation. We perform eight simulation cases under solar minimum quiet-solar-wind conditions (four equinox/solstice seasons, each with two interplanetary magnetic field polarities) and in an actual interplanetary coronal mass ejection (ICME) case to assess quiet and space weather situations, respectively. The occurrence of detectable discrete aurora is subject to the combination of the probabilities that (a) the ionosphere is magnetically connected with high altitudes through open field lines and (b) precipitating energy fluxes of >30 eV electrons exceed 0.1 erg/cm2/s. Our results show that during quiet solar activity, discrete aurora occurs likely on small-scale patches embedded inside strong crustal magnetic field regions (with a magnitude greater than 50 nT at 150 km), and the overall chance across the globe is ∼0.77%. The higher probability over strong crustal field regions is attributed to the stronger magnetic field convergence. Modeling shows the occurrence probability dramatically increases during the ICME event, particularly by more than an order of magnitude in weak crustal field regions. Our model results reasonably agree with NASA Mars Atmosphere and Volatile EvolutioN and Mars Express observations. Our study suggests that nightside discrete electron aurora is not caused by the direct entry of magnetosheath plasma in a cusp-like process but due to the recycling of nightside magnetospheric electrons.
DOI: 10.24384/3q97-7j74
title: Developing higher education teaching practice: How are resources are chosen?
DOI: 10.5066/p9den46c
title: USGS National and Global Oil and Gas Assessment Project - Resource Allocations for the BLM Carlsbad Planning Area

description: The U.S. Geological Survey Central Energy Science Center (CERSC) was asked to provide allocations of oil and gas resources and numbers of potential wells calculated from these allocated resources for the BLM Carlsbad Planning Area in New Mexico. The resource allocations were based on the most current USGS assessment of continuous (unconventional) oil and gas resources within eleven geologically defined assessment units in the Delaware Basin (Gaswirth and others, 2018).
DOI: 10.5066/p9soh5en
title: USGS National and Global Oil and Gas Assessment Project-China Assessment Unit Boundaries and Assessment Input Forms

description: This data release contains the boundaries of conventional assessment units for the assessment of undiscovered oil and gas resources in China. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. Methodology of assessments are documented in USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf).
DOI: 10.5281/zenodo.6363125
title: Lex-Atlas:Covid-19 Parliaments Dataset

description: Data on the impact on national parliaments resulting from the Covid-19 pandemic mined from country reports published by the Lex-Atlas: Covid-19 project and the Oxford University Press. For more information see https://lexatlas-c19.org
DOI: 10.5281/zenodo.6363124
title: Lex-Atlas:Covid-19 Parliaments Dataset

description: Data on the impact on national parliaments resulting from the Covid-19 pandemic mined from country reports published by the Lex-Atlas: Covid-19 project and the Oxford University Press. For more information see https://lexatlas-c19.org
DOI: 10.5517/ccdc.csd.cc28mqg3
title: CCDC 2104325: Experimental Crystal Structure Determination

description: Related Article: Yipeng Zhou, Hongwei Zhou, Jianfeng Xu|2022|J.Org.Chem.|87|3677|doi:10.1021/acs.joc.1c02581
DOI: 10.5517/ccdc.csd.cc29l84b
title: CCDC 2132711: Experimental Crystal Structure Determination

description: Related Article: Jiadong Hu, Kai Ji, Lihong Yan, Siyu Yang, Yin Li, Wen Wen, Le Chen, Xiaohui Wu, Youcai Hu, Weiqing Xie|2022|Org.Biomol.Chem.|20|2205|doi:10.1039/D2OB00041E
DOI: 10.5519/qd.dwdo3ejj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.18739/a2sp9m
title: Barrow Atqasuk ARCSS Plant Community

description: These files contain data representing the plant community composition and structure of ARCSS grid plots at Barrow and Atqasuk in a text tab delimited format. The 2010 and 2013 data were collected on all plots that were not under water: 98 plots at Barrow and 88 plots at Atqasuk. The 2012 data were only collected on a subset of 30 plots at Barrow and 30 plots at Atqasuk.
DOI: 10.18739/a2x05xc7x
title: Plant community composition in the Arctic System Science Program (ARCSS) grid at Barrow and Atqasuk, Alaska 2018

description: Arctic ecosystems are changing in response to arctic warming, which is proceeding more than twice as fast as the global average. The International Tundra Experiment (ITEX) was established in the early 1990s to understand the effects of warming and environmental variability on tundra vegetation properties and ecosystem function. The ITEX program has been extremely valuable for detection of changes in tundra plant and ecosystem responses to experimental warming and to background climate change across sites that span the major ecosystems of the Arctic These files contain data representing the plant community composition and structure of ARCSS grid plots at Barrow and Atqasuk in a text tab delimited format. The data were collected on a subset of 30 plots at Barrow and 30 plots at Atqasuk.