cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/1qxhpk
title: Replication Data for: Prospective Clinical Surveillance for Severe Acute Respiratory Illness in Kenyan Hospitals during the COVID-19 pandemic

description: &lt;p&gt;This is a replication dataset for the submitted manuscript titled: "&lt;strong&gt;&lt;i&gt;Prospective Clinical Surveillance for Severe Acute Respiratory Illness in Kenyan Hospitals during the COVID-19 pandemic&lt;/i&gt;&lt;/strong&gt;."

&lt;p&gt;The data was generated by a prospective longitudinal hospital-based sentinel surveillance between May 2020 and December 2022 at 16 public hospitals in Kenya. The datasets contain demographic and clinical characteristics, COVID-19 infection and vaccination status, and outcome data collected from patients above 18 years admitted to adult medical wards in the participating hospitals.&lt;/p&gt;
description: <strong>Data Access: </strong>Restricted

Access to these data requires submission of a formal request for consideration by our Data Governance Committee. 
<strong>How to request</strong>

Download and complete the <strong>data request form</strong>
 Email completed data request form to the Data Governance Committee at <strong>dgc@kemri-wellcome.org</strong>
DOI: 10.7910/dvn/1vkxyt
title: BVPK

description: Basse Volhynie ou Palatinat de Kiow tire enierement de la grande Ukraine
DOI: 10.7910/dvn/1lbf1h
title: 100-Year Floodwater Depth Model of Arkansas

description: &lt;b&gt;100-Year Floodwater Depth Model of Arkansas&lt;/b&gt;
&lt;br&gt;&lt;br&gt;
Floodwater depths across Arkansas modeled using the Google Earth Engine (GEE; Gorelick et al. 2017) implementation of the Floodwater Depth Estimation Tool (FwDET-GEE; Peter et al. 2020). FwDET was developed by Cohen et al. (2019) and uses an elevation model and flood boundary data to create a continuous flood depth surface. NASADEM and EnviroAtlas were used as inputs here (NASA JPL 2020; Woznicki et al. 2019). An associated manuscript on the spatial relationship between floods and socioeconomic characteristics is currently in preparation (Peter et al. forthcoming). Support provided by Arkansas NSF EPSCoR Track 1 (OIA-1946391).
&lt;br&gt;&lt;br&gt;
• Peter, B. G., Unger, A., Hamidi, E., Morris, C., Cohen, S., and Huang, X. (in preparation, expected 2025). Floods and Socioeconomic Vulnerability Across Arkansas: A Geospatial Cyberinfrastructure.
&lt;br&gt;&lt;br&gt;
&lt;b&gt;FwDET and FwDET-GEE&lt;/b&gt;
&lt;br&gt;
• Cohen, S., Raney, A., Munasinghe, D., Loftis, J.D., Molthan, A., Bell, J., Rogers, L., Galantowicz, J., Brakenridge, G.R., Kettner, A.J. and Huang, Y.F., 2019. The Floodwater Depth Estimation Tool (FwDET v2. 0) for improved remote sensing analysis of coastal flooding. &lt;i&gt;Natural Hazards and Earth System Sciences&lt;/i&gt;, 19(9), pp.2053-2065.
&lt;br&gt;
• Peter, B.G., Cohen, S., Lucey, R., Munasinghe, D., Raney, A. and Brakenridge, G.R., 2020. Google Earth engine implementation of the floodwater depth estimation tool (FwDET-GEE) for rapid and large scale flood analysis. &lt;i&gt;IEEE Geoscience and Remote Sensing Letters&lt;/i&gt;, 19, pp.1-5.
&lt;br&gt;&lt;br&gt;
&lt;b&gt;Other references&lt;/b&gt;
&lt;br&gt;
• Woznicki, S.A., Baynes, J., Panlasigui, S., Mehaffey, M. and Neale, A., 2019. Development of a spatially complete floodplain map of the conterminous United States using random forest. &lt;i&gt;Science of the Total Environment&lt;/i&gt;, 647, pp.942-953.
&lt;br&gt;
• NASA JPL (2020). NASADEM Merged DEM Global 1 arc second V001 [Data set]. NASA EOSDIS Land Processes Distributed Active Archive Center. Accessed 2024-11-15 from https://doi.org/10.5067/MEaSUREs/NASADEM/NASADEM_HGT.001
&lt;br&gt;
• Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D. and Moore, R., 2017. Google Earth Engine: Planetary-scale geospatial analysis for everyone. &lt;i&gt;Remote Sensing of Environment&lt;/i&gt;, 202, pp.18-27.
DOI: 10.7910/dvn/1owgwy
title: Technical Efficiency and Productivity Data for Global Airlines

description: Database for the air transport sector including data for 19 airlines between 2012 and 2021.
DOI: 10.7910/dvn/1qwthn
title: Replication Materials for: Public attitudes on performance for algorithmic and human decision-makers

description: This repository contains replication materials for the study, "Public attitudes on performance for algorithmic and human decision-makers" in PNAS Nexus. See the readme.txt for details.
DOI: 10.7910/dvn/1vjzfe
title: Spatial Clustering of Immunosuppresive Macrophages in Papillary Renal Cell Carcinoma

description: Papillary renal cell carcinoma (pRCC) is the second most common kidney cancer, yet our understanding of its tumor immune microenvironment (TIME) remains limited. We utilized multiplex immunofluorescence (mIF) and spatial transcriptomics (ST) to evaluate immune cell architecture in pRCC contrasted with clear cell RCC (ccRCC). Localized RCC tumors (16 pRCC, 70 ccRCC) underwent mIF using immune cell markers. Spatial data in both tumor and stromal compartments of the TIME were collected. A post hoc recurrence free survival analysis (RFS) was performed using Cox proportional hazard models. Single-cell ST was performed on a subset of samples, utilizing probes against 960 transcripts. Cell abundance, cell spatial clustering, and spatially varying gene expression were analyzed. Immune cell abundance was statistically lower in pRCC amongst functional CD8 T cells, while cell clustering was higher amongst M2-like macrophages. Using ST, two genes (CCL18, GPNMB) were enriched in clustered M2-like macrophages in pRCC (FDR &lt; 0.001). In conclusion, pRCC has greater M2-like macrophage clustering compared to ccRCC, which is associated with worse RFS in pRCC. Using ST, M2-like macrophage clustering corresponds with lipid associated TAMs (LAMs), and therapeutics against this myeloid subset are currently being tested in pRCC.
DOI: 10.7910/dvn/1lc6w7
title: Agronomic dataset on potato growth and yield in the Netherlands

description: Data was collected at two field locations in the Netherlands: on the clayey soils in Lelystad and the sandy soils of Vredepeel during 2019 and 2020. The original aim of this dataset was to calibrate and evaluate crop growth models for estimating potential, water-limited and nitrogen-limited yield levels for modern potato cultivars. Therefore, treatments include different cultivars, irrigation regimes, nitrogen fertilization and light interception. During the two seasons extensive data was collected either passively, via non-destructive or via destructive measurements. Passive measurements consisted of weather and soil moisture data and were taken continuously throughout the season. Non-destructive data was collected on photosynthesis, reflection / light intensity, SPAD chlorophyll values, plant height, crop phenology and groundwater level roughly every other week throughout the seasons. Destructive measurements were taken on biomass (leaves, stems and tubers), leaf area, NPK content (leaves) and the number of tubers between five and seven times per season. Additionally, during the final harvest data was collected on the tuber size distribution, marketability and NPK content of the tubers.
DOI: 10.7910/dvn/1u32yy
title: Memo For Resolving a Linear System of Equations

description: The aim of this short memo is to resolve the linear system of equations using Gauss elimination method.
DOI: 10.7910/dvn/1zai9w
title: Replication Data for: Who are the Election Skeptics? Evidence from the 2022 Midterm Elections

description: Contains all replication files necessary for the figures and supplementary material in "Who are the Election Skeptics? Evidence from the 2022 Midterm Elections".
DOI: 10.7910/dvn/1ngivd
title: R Script for Random Forest Classification

description: Describes the R Scripts used for Random Forest Classification of satellite images
DOI: 10.7910/dvn/1pgbfc
title: Replication Data for: Elitist Remedies? Complaint Resources and Representation in International Human Rights Bodies

description: This article investigates determinants of representation in international human rights bodies. It is argued that socioeconomic factors shape whether human rights abuses translate into complaints to international human rights mechanisms. To seek international remedy, victims of human rights abuse must be aware of remedies, and they require complaint literacy to file complaints. Alternatively, they need ties to skilled networks that might represent their cases. Such complaint resources are systematically shaped by socioeconomic factors, implying that international human rights remedies tend to represent a self-selection of economic elites. The theoretical claims are tested both on the national and individual levels with novel data on the human rights complaint mechanisms operated by the UN Special Procedures (UNSP). While this mechanism is universally open, the follow-up statements of the UNSP reflect socioeconomic disparities both on the national and individual levels. On the national level, human rights abuses translate into more UNSP statements directed at richer countries. On the individual level, lawyers and professors tend to be more likely to be covered by the UNSP. The findings contribute to our understanding of representation in international human rights remedies, suggesting that these mechanisms struggle to reach marginalized groups in low-income countries.
DOI: 10.7910/dvn/1pyiy3
title: Replication Data for "How Do Policy Environments Shape Public Service Motivation during the National Disaster? Evidence from Large-Scale Survey Experiments"

description: The dataset and the replication Stata code for the article, titled "How Do Policy Environments Shape Public Service Motivation during the National Disaster? Evidence from Large-Scale Survey Experiments," conditionally accepted in Journal of Public Policy
DOI: 10.7910/dvn/1q5hzd
title: Replication Data for: Heat Causes Large Earnings Losses for Informal-Sector Workers in India

description: This is a dataset of 400 workers collected daily in the months of May and June of 2019 in Delhi. These workers were working as launderers, construction workers, painters, coolies (manual laborers in transport or other sectors), cycle rickshaw drivers, electric rickshaw drivers, auto (three-wheeled taxi) drivers, taxi drivers, food vendors, street vendors, rag pickers, petty traders, fruit sellers, waste and scrap dealers, roadside barbers, cobblers, roadside cycle/auto mechanics, and others. We collect data on their earnings, expenditure and health. The data was merged with temperature data from the meteorological station at Delhi Airport.
DOI: 10.7910/dvn/21xt24
title: Viewpoint Alberta Consolidated Dataset, Rounds 1-9 (Oct 2019 to July 2024)

description: Consolidated dataset for Viewpoint Alberta, rounds 1-9 (October 2019 to July 2024). An online version of the codebook is available at: https://commongroundpolitics.github.io/ViewpointAlbertaCodebook/
DOI: 10.18167/dvn1/yujryr
title: QDA data, Instrumental textural data by TPA, Instrumental Color data for extraction of RTB genotypes with superior matooke quality traits from RTB breeding populations, at NARL, Uganda.

description: The selection of matooke clones with end-user acceptable traits is critical for ensuring consumer satisfaction and market competitiveness. This study evaluated various matooke clones based on sensory attributes, textural profile analysis (TPA), and colorimetric assessments using a Chroma meter. A 12-member panel of trained assessors conducted sensory evaluations, while instrumental analyses using a TMS-Pilot texture analyzer and a Chroma meter provided quantitative measures of texture and colour parameters (L*, a*, b* values) respectively. The findings indicate significant variations (p&lt;0.05) among the clones in terms of firmness, adhesiveness, and cohesiveness, which correlate with consumer preferences. Additionally, colorimetric assessments highlight significant differences in appearance, an essential factor influencing consumer choices. The integration of sensory and instrumental analyses in this study identifies superior matooke clones with optimal textural and colour qualities.
DOI: 10.7910/dvn/1ujdv6
title: Replication Data for: Four-class ASME BCI: investigation of the feasibility and comparison of two strategies for multiclassing

description: In this dataset, EEG and EOG data are contained when subjects conducted two different 4-class ASME paradigms. This is the replication data for: Four-class ASME BCI: investigation of the feasibility and comparison of two strategies for multiclassing. https://doi.org/10.3389/fnhum.2024.1461960
DOI: 10.7910/dvn/1vaz6p
title: PolyPhen-2 databases and datasets

description: The software and data provided herein is free for academic instruction and research use only. Commercial licenses are available to legal entities, including companies and organizations (both for-profit and non-profit), requiring the software for general commercial use. To obtain a commercial license please, contact us via &lt;a href="mailto:ivan_adzhubey@hms.harvard.edu"&gt;e-mail&lt;/a&gt;.
DOI: 10.7910/dvn/1qq9kk
title: Dataset for infection caused by Pasteurella species

description: Dataset for infection caused by Pasteurella species from multicenter and Dataset for global prevalence of infection caused by Pasteurella species for meta-analysis
DOI: 10.7910/dvn/1welqi
title: Collagen fiber and collagen pseudomorph sample ToF-SIMS spectra for "A reappraisal of ancient protein preservation from the Ice Age to the Mesozoic dinosaurs"

description: Raw, unprocessed ToF-SIMS spectra corresponding to Figure 4, Figure 5, Figure 6, and Figures S19-S39 of the manuscript: "A reappraisal of ancient protein preservation from the Ice Age to the Mesozoic dinosaurs".
DOI: 10.7910/dvn/1zeqjj
title: Production of Genetically Improved Farmed Tilapia (GIFT) strain of Nile Tilapia (Oreochromis niloticus), Growth Line, Generation 19 (G19)

description: Production data for 63 families of the GIFT Growth Line, Generation 19 (G19). Data included the Identifiers, list of parents ID, after spawned weight in grams, fry date to date of transfer to nursing tank and spawning date.
description: Type: Dataset; Sub-type(s): Other (Production of Growth line G19 families)
DOI: 10.7910/dvn/22ijvc
title: EMG_data_part_2

description: EMG 2
DOI: 10.7910/dvn/1ybv5x
title: Datasets for A Stata Companion to Political Analysis, 5th Edition (textbook published by CQ/Sage in 2023)

description: Archive of datasets for A Stata Companion to Political Analysis, 5th Edition (published by CQ/Sage in 2023). There are five primary datasets: Debate, GSS, NES, States, and World. There are three minor datasets used for chapter exercises: ch6ex, ch11ex, and ch14ex. Use these datasets to replicate demonstration examples from the book and chapter exercises.
DOI: 10.7910/dvn/246mke
title: Arrabal-Schrödinger-Einstein Equation: Unifying Arrabal Critical Velocity, Quantum Mechanics, and Relativity for the Quantum-to-Classical Transition

description: AbstractThis thesis presents a unified model for the quantum-to-classical transition by integrating relativistic effects—such as time dilation and length contraction—with Humberto Arrabal’s velocity-enhanced quantum decoherence model. While traditional decoherence theories focus on environmental interactions, this work expands the framework by demonstrating that particle velocity, particularly at relativistic speeds, significantly accelerates quantum decoherence. The model applies Einstein’s relativistic energy equation and Arrabal’s velocity-based criterion, showing that relativistic velocities cause an earlier onset of classical behavior. The implications for quantum computing, cosmology, and experimental designs are explored, including a proposal for empirical validation at CERN.
DOI: 10.7910/dvn/23tnjo
title: Modeled groundwater levels across Central Valley, CA, from March 2015 to August 2020, using GP-DNN regression

description: This dataset contains groundwater level trends and time series data across a discretized grid of California's Central Valley, modeled with well data using hierarchical Gaussian process and neural network regression methodology.

The spatial grid consists of 400 cells, spanning latitudes 34.91 to 40.895 degrees, and 220 cells, spanning longitudes -122.6 to -118.658 degrees. The temporal axis spans March 2015 to Aug 2020, discretized at biweekly intervals, with a total of 132 cells. The spatiotemporal grid details are present in relevant files.

The first dataset is contained in the following Python pickle file.
1. 'CV_water_level_trends_Mar2015_Aug2020.pkl': This file contains a nested Python dictionary with following &lt;key, value&gt; pairs:

1.1. 'longitude': Numpy array of shape 400 x 220 
1.2. 'longitude': Numpy array of shape 400 x 220
1.3. 'mean': Python dictionary with mean long-term and seasonal water level trends
1.4. 'P10': Python dictionary with P10 long-term and seasonal water level trends
1.5. 'P90': Python dictionary with P90 long-term and seasonal water level trends

Each of the dictionary in 1.3., 1.4. and 1.5. contain the following key and values:
'initial_water_level_ft': Mean/P10/P90 of March 2015 water levels in feet stored as Numpy array of shape 400 x 220
'water_level_decline_rate_ft/biweek': Mean/P10/P90 of March 2015 - Aug 2020 water level decline rates in ft/biweek stored as Numpy array of shape 400 x 220
'water_level_amplitude_ft': Mean/P10/P90 of seasonal water level oscillation amplitude stored as Numpy array of shape 400 x 220
'water_level_phase_deg': Mean/P10/P90 of time to peak seasonal signal in degrees stored as Numpy array of shape 400 x 220

The second dataset is contained in the following Python pickle file.
2. 'CV_water_level_time_series_Mar2015_Aug2020.pkl': This file contains a Python dictionary with following &lt;key, value&gt; pairs.

2.1. 'longitude': Numpy array of shape 400 x 220 
2.2. 'longitude': Numpy array of shape 400 x 220
2.3. 'time_axis': Python list on length 132 containing strings for biweekly periods from March 2015 - August 2020 
2.4. 'water_level_well_ft': Processed water level observations in feet from 1744 wells, irregularly sampled across time. The data is stored as Numpy array of shape 400 x 220 x 132, with missing values as nans.
2.5. 'water_level_modeled_mean_ft': Modeled mean water level time series in feet stored as Numpy array of shape 400 x 220 x 132
2.6. 'water_level_modeled_P10_ft': Modeled P10 water level time series in feet stored as Numpy array of shape 400 x 220 x 132
2.6. 'water_level_modeled_P90_ft': Modeled P90 water level time series in feet stored as Numpy array of shape 400 x 220 x 132
DOI: 10.7910/dvn/24860
title: Caseload Measures for the Federal District Courts

description: We offer measures of caseload for U.S. district courts from 1963 to 2013. For a more complete description, please refer to the article citation.
DOI: 10.7910/dvn/24u6qi
title: Modeling RTT syndrome by ”in vitro” i-Neurons from male and female patients with heterogeneously severe hot-spot MECP2 variants

description: This dataset contains the data for the paper Perego et al., "Modeling RTT Syndrome by iPSC-Derived Neurons from Male and Female Patients with Heterogeneously Severe Hot-Spot MECP2 Variants". In this paper, iPSC-neurons were generated from blood of Rett Syndrome (RTT) girls with the most frequent variants (p.Arg133Cys and p.Arg255*), respectively associated to mild and severe phenotype, and of an RTT male with the p.Gly252Argfs*7 variant. Morphological parameters and electrophysiological recording were evaluated at different time-point of neuron maturation, showing a precocious reduced nuclear size and branch number. Patch clamp recording on mature neurons lights up an immature spiking pattern, an altered cell capacitance, and a membrane resistance of RTT neurons. The overall results indicate that specific markers of in vitro cellular phenotype mirror the clinical severity and may be amenable to drug testing for translational purposes.
DOI: 10.7910/dvn/25vvpp
title: A97_8796.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/4545cbd1-423d-1de4-b70d-0b350311ac23'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/4545cbd1-423d-1de4-b70d-0b350311ac23
DOI: 10.7910/dvn/24775
title: Doing archives datasets

description: Doing archives offers empirical data relevant to archival practice, science and management from 2013 to the present. (global) see all the data for all repositories: rankings for topics, indicator values, and detailed information like the steps required to process a collection; (subnational) all the data for a city or region: rankings for topics, indicator values, and detailed information; (topics) in-depth, cross-repository view of the data, 2013.001 Getting administration, 2013.002 Employing workers, 2013.003 Educating workers, 2013.004 Getting processing, 2013.005 Dealing with appraisal, 2013.006 Registering intellectual property, 2013.007 Enforcing contracts, 2013.008 Cooperation across repositories, 2013.009 Enforcing policies, 2013.010 Dealing with acquisitions, 2013.011 Sustainability; (distance to frontier); (good practices); (transparency); (rankings) the Ease of Doing archives index ranks all repositories at the national level. Where does your repository rank? Rank repositories within their region, budget, or size; (historical)
DOI: 10.7910/dvn/25055
title: Data Analysis Class A Castillo

description: Homework A Castillo Data Analysis Class
DOI: 10.7910/dvn/26505
title: Replication data for: Schoen, Harald. 2010. Ein Bericht von der Heimatfront: Bürger, Politiker und der Afganistaneinsatz der Bundeswehr, in: Politische Vierteljahresschrift 51, 395-408.

description: Schoen, Harald. 2010. Ein Bericht von der Heimatfront: Bürger, Politiker und der Afganistaneinsatz der Bundeswehr, in: Politische Vierteljahresschrift 51, 395-408.
DOI: 10.7910/dvn/25tt7g
title: Pharamcological connectivity matrices and demographics

description: This contains data necessary to evaluate the findings presented in the published work. This includes connectivity matrices and demographic variables. Code and a detailed description can be found at: https://pennlinc.github.io/Larsen_EI_Development/.
description: The goal of this project is to measure the development of the E:I ratio using fMRI. First, we use a pharmalogical imaging dataset with the GABAergic benzodiazepine alprazolam to empirically generate a multivariate model for the effect of shifts in the E:I ratio on patterns of fMRI connectivity. We then apply this model to a large developmental and assess how model-predicted E:I ratio changes with age. This is a guide to the scripts used to execute the primary analyses.

Please see this page for an overview of the steps: https://pennlinc.github.io/Larsen_EI_Development/.
DOI: 10.7910/dvn/27315
title: Sample study

description: Just testing out the API
DOI: 10.7910/dvn/27358
title: Nepal (2003): Peer Ethnographical Research Study of Female Sex Workers and Male Clients in the Kathmandu Valley

description: The primary objectives of this study were to gain an insight and understanding of how female commercial sex workers talk about and experience sexual knowledge and behavior, barriers and decision making on condom usage, social networks and social support, health, needs and aspirations. The study employed the Peer Ethnographical Research (PER) method to investigate the psychosocial profile of the target groups of female sex workers within Kathmandu valley. The research tool involves training members of a particular social group or social network to become peer ethnographical researchers. The peer researchers conducted in-depth and unstructured interviews with individuals selected by them from their own social network, based on the guidelines or criteria set aside by the supervisors.