cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25614/ndi_2015_trt_allstates
title: Neighborhood Deprivation Index for year 2015, using the 2010 census geographic boundaries

description: The NDI provides a measure of neighborhood deprivation at the census tract level, with higher values corresponding to more severe deprivation. Each state's values are analyzed independently. The NDI empirically summarizes eight census variables representing five domains: income/poverty, education, employment, housing, and occupation. The eight census variables include the percent of: (1) males in management and professional occupations; (2) crowded housing; (3) households in poverty; (4) female-headed households with dependents; (5) households on public assistance; (6) households with earnings less than $30,000 per year; (7) individuals with less than a high school education; and (8) individuals that are unemployed. The NDI is calculated using a principal components analysis (Messer et al. 2006), such that the NDI values produced depend on the study area that is used in the NDI calculation. Specifically, the NDI value calculated for a given census tract will differ if the NDI was calculated using, for example, all tracts in the county vs. all tracts in the state vs. all tracts in the United States. Prior to selecting, calculating, or using the NDI, it is critically important to define the study area and analytical goals so that the most appropriate study domain is used for the NDI calculation.
DOI: 10.25614/ri_us_1990_bg_geo2010
title: Racial isolation values based on the 1990 census block group level using the 2010 census boundaries

description: These data contain a residential isolation value for non-Hispanic blacks (NHB) and non-Hispanic whites (NHW) at the census block group level. Population counts from the 1990 census  using the 2010 census boundaries are used to calculate the index. For each block group, the index is the proportion of the population (NHB or NHW) in the index block group and block groups adjacent to the index block group. Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent block groups.
DOI: 10.25614/ri_us_1990_trt_geo2010
title: Racial isolation values based on the 1990 census tract level using the 2010 census boundaries

description: These data contain a residential isolation value for non-Hispanic blacks (NHB) and non-Hispanic whites (NHW) at the census tract level. Population counts from the 1990 census  using the 2010 census boundaries are used to calculate the index. For each block group, the index is the proportion of the population (NHB or NHW) in the index block group and block groups adjacent to the index block group. Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent tracts.
DOI: 10.25614/ri_us_2000_bg
title: Racial isolation values based on the 2000 census block group level  using the 2000 census boundaries

description: These data contain a residential isolation value for non-Hispanic blacks (NHB) and non-Hispanic whites (NHW) at the census block group level. Population counts from the 2000 census are used to calculate the index. For each block group, the index is the proportion of the population (NHB or NHW) in the index block group and block groups adjacent to the index block group. Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent block groups.
DOI: 10.6084/m9.figshare.20277522
title: DIPY_Synb0_weights

description: The data is for the synb0-disco model in dipy
DOI: 10.6084/m9.figshare.20277522.v1
title: DIPY_Synb0_weights

description: The data is for the synb0-disco model in dipy
DOI: 10.25614/ri_us_2000_bg_geo2010
title: Racial isolation values based on the 2000 census block group level using the 2010 census boundaries

description: These data contain a residential isolation value for non-Hispanic blacks (NHB) and non-Hispanic whites (NHW) at the census block group level. Population counts from the 2000 census  using the 2010 census boundaries are used to calculate the index. For each block group, the index is the proportion of the population (NHB or NHW) in the index block group and block groups adjacent to the index block group. Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent block groups.
DOI: 10.25614/ri_us_2000_trt
title: Racial isolation values based on the 2000 census tract level  using the 2000 census boundaries

description: These data contain a residential isolation value for non-Hispanic blacks (NHB) and non-Hispanic whites (NHW) at the census tract level. Population counts from the 2000 census are used to calculate the index. For each block group, the index is the proportion of the population (NHB or NHW) in the index block group and block groups adjacent to the index block group. Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent tracts.
DOI: 10.25614/ri_us_2000_trt_geo2010
title: Racial isolation values based on the 2000 census tract level using the 2010 census boundaries

description: These data contain a residential isolation value for non-Hispanic blacks (NHB) and non-Hispanic whites (NHW) at the census tract level. Population counts from the 2000 census  using the 2010 census boundaries are used to calculate the index. For each block group, the index is the proportion of the population (NHB or NHW) in the index block group and block groups adjacent to the index block group. Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent tracts.
DOI: 10.6084/m9.figshare.20352768
title: dataset-unigram.xlsx

description: Unigram feature file
DOI: 10.6084/m9.figshare.20352768.v1
title: dataset-unigram.xlsx

description: Unigram feature file
DOI: 10.25614/ri_us_2010_bg
title: Racial isolation values based on the 2010 census block group level  using the 2010 census boundaries

description: These data contain a residential isolation value for non-Hispanic blacks (NHB) and non-Hispanic whites (NHW) at the census block group level. Population counts from the 2010 census are used to calculate the index. For each block group, the index is the proportion of the population (NHB or NHW) in the index block group and block groups adjacent to the index block group. Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent block groups.
DOI: 10.25614/ri_us_2010_trt
title: Racial isolation values based on the 2010 census tract level  using the 2010 census boundaries

description: These data contain a residential isolation value for non-Hispanic blacks (NHB) and non-Hispanic whites (NHW) at the census tract level. Population counts from the 2010 census are used to calculate the index. For each block group, the index is the proportion of the population (NHB or NHW) in the index block group and block groups adjacent to the index block group. Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent block groups. Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent tracts.
DOI: 10.25614/ri_us_2015_bg
title: Racial isolation values based on the 2010 census block group level using the 2013-2017 ACS 5-year population estimates

description: These data contain a residential isolation value for non-Hispanic blacks (NHB) and non-Hispanic whites (NHW) at the census block group level. Population counts from the 2013-2017 5-year American Community Survey (ACS) are used to calculate the index. For each block group, the index is the proportion of the population (NHB or NHW) in the index block group and block groups adjacent to the index block group. Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent block groups.
DOI: 10.25614/ri_us_2015_trt
title: Racial isolation values based on the 2010 census tract level using the 2013-2017 ACS 5-year population estimates

description: These data contain a residential isolation value for non-Hispanic blacks (NHB) and non-Hispanic whites (NHW) at the census tract level. Population counts from the 2013-2017 5-year American Community Survey (ACS) are used to calculate the index. For each block group, the index is the proportion of the population (NHB or NHW) in the index block group and block groups adjacent to the index block group. Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent tracts.
DOI: 10.25614/schoolsgeo_2012_2016
title: Geocoded list of public schools under the North Carolina Department of Instruction (DPI)

description: The data were downloaded from the NC DPI website for five time points - 2000, 2004, 2008, 2012, and 2016. Information includes the school name, code, LEA, county, address, and more.
DOI: 10.25614/synthetic_data
title: Synthetic data for a cohort of NC births in 2000

description: Synthetic dataset for NC births in 2000. The individual level data contains 26 key variables, including synthetically derived information on births, blood lead level test results, end-of-year grade 4 test results, air quality at select time points, and social / economic factors.
DOI: 10.6084/m9.figshare.20055086
title: Meta-analysis of RNA Sequencing Data of Arabidopsis and Rice under Hypoxia

description: file1a,b: Metadata of the RNA-Seq experiments used for meta-analysis. (a) Arabidopsis, (b) rice. file2a,b: TPM values of the RNA-Seq experiments. (a) Arabidopsis, (b) rice. file3a,b: HN-ratio of the RNA-Seq experiments. (a) Arabidopsis, (b) rice. file4a,b: HN-score of the transcripts in each species. (a) Arabidopsis, (b) rice. The suffixes indicate At (<em>Arabidopsis thaliana</em>), Os (<em>Oryza sativa</em>), and Hs (<em>Homo sapiens</em>). file5a–d: HN-score of the hypoxia-inducible transcripts in each species. (a) Arabidopsis upregulated, (b) rice upregulated, (c) Arabidopsis downregulated, (d) rice downregulated. Columns with gene ontology (GO) names indicate annotation of the enrichment analysis in Metascape. 1 is having the annotation, and 0 is not having the annotation. file6a,b: HN-score of the genes related to general phenylpropanoid pathway. (a) Arabidopsis, (b) rice. file7: Gene set enrichment analysis of hypoxia-inducible genes in Arabidopsis when hypoxic treatments and submergence treatments were analyzed separately. file8: Gene set enrichment analysis of hypoxia-inducible upregulated genes with GO Molecular Functions (MF) or GO Cellular Components (CC). (a) Arabidopsis MF, (b) Arabidopsis CC, (c) rice MF, (d) rice CC. file9: Gene set enrichment analysis of hypoxia-inducible downregulated genes with GO Molecular Functions (MF) or GO Cellular Components (CC). (a) Arabidopsis MF, (b) Arabidopsis CC, (c) rice MF, (d) rice CC. file10: Protein–protein interaction network of the (a) commonly upregulated 40 genes and (b) commonly downregulated 19 genes analyzed by STRING. Differently colored lines represent seven types of evidence used in predicting the associations: Red, fusion evidence; Green, neighborhood evidence; Blue, cooccurrence evidence; Purple, experimental evidence; Yellow, textmining evidence; Light blue, database evidence; Black, coexpression evidence. file 11: Analysis of swapped pairs of biolocigal replicates.
DOI: 10.6084/m9.figshare.20055086.v1
title: Meta-analysis of RNA Sequencing Data of Arabidopsis and Rice under Hypoxia

description: file1: Metadata of the RNA-Seq experiments used for meta-analysis. (a) Arabidopsis, (b) rice. file2: TPM values of the RNA-Seq experiments. (a) Arabidopsis, (b) rice. file3: HN-ratio of the RNA-Seq experiments. (a) Arabidopsis, (b) rice. file4: HN-score of the transcripts in each species. (a) Arabidopsis, (b) rice. The suffixes indicate At (<em>Arabidopsis thaliana</em>), Os (<em>Oryza sativa</em>), and Hs (<em>Homo sapiens</em>). file5: HN-score of the hypoxia-inducible transcripts in each species. (a) Arabidopsis upregulated, (b) rice upregulated, (c) Arabidopsis downregulated, (d) rice downregulated. Columns with gene ontology (GO) names indicate annotation of the enrichment analysis in Metascape. 1 is having the annotation, and 0 is not having the annotation. file6: HN-score of the genes related to general phenylpropanoid pathway. (a) Arabidopsis, (b) rice.
DOI: 10.34740/kaggle/dsv/3970691
title: Greater Gcode
DOI: 10.5066/p91ljnau
title: Data from the development and testing of a multiparameter standard solution for fluorescent dissolved organic matter (fDOM) and algal fluorescence (fChl) (ver. 2.0, July 2022)

description: Optical sensors measuring fluorescence of non-biological sources (e.g., dissolved organic matter, wastewater, hydrocarbons, fluorescent dyes, etc.; hereafter referred to as fDOM) are increasingly used in water quality studies because they provide proxy measurements for a variety of contaminants and constituents of concern including metals, wastewater effluent, and DOM (measured in the lab as dissolved organic carbon, (DOC)) concentrations. Similarly, sensors measuring biological (algal) fluorescence (hereafter referred to as chlorophyll (fChl) and phycocyanin (fPC), have gained popularity to measure phytoplankton concentration, biomass, and even primary productivity. As additional sensors are coupled with ongoing field monitoring, field calibration checks are becoming quite time consuming for even the basic set of sensors (i.e., pH, specific conductivity, turbidity) that require ongoing verification over timescales ranging from weekly to semi-annual intervals. As such, there is a critical need to establish a means to verify calibrations using a simple, fast, and efficient method in the field, allowing for the standardization of United States Geological Survey (USGS) measurements across the entire agency. Here, we present the results of testing a multiparameter field standard (MPFS), an experimental mixed standard solution capable of simultaneously verifying calibrations for multiple fluorescence sensors (fDOM, fChl, and fPC).
DOI: 10.25934/pr00007819
title: Efficacy & Safety of Proprotein Convertase Subtilisin/Kexin type 9 Inhibitors: a Systematic Review and Meta-analysis of Real-World Data

description: Cardiovascular disease (CVD) is worldwide the most common cause of mortality. Cholesterol contributes the most as CVD-risk factor after hypertension and in high-income countries, cholesterol is already the number one modifiable cause. Cholesterol can be decreased with treatment. Traditional cholesterol lowering therapy are statins and ezetimibe, but also bile acid sequestrants. “Bile acid sequestrants” are medicines that help lower your LDL (bad) cholesterol. Too much cholesterol in your blood can stick to the walls of your arteries and narrow or block them. These medicines work by blocking bile acid in your stomach from being absorbed in your blood.
Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors have been added to these treatment options. “Proprotein convertase subtilisin/kexin type 9 (PCSK9)” is an enzyme that binds to low-density lipoprotein receptors (LDL receptors), which stops LDL being removed from the blood, leading to an increase in blood levels of LDL. 
There has been extensive research into the efficacy and safety of PCSK9 inhibitors. Additionally, systematic reviews and meta-analyses have analyzed this data collectively. However, this has only been done with trial ('experimental') data so far while there have been several observational ('real-world') studies in patients receiving PCSK9 inhibitors. Patients participating in trials can be different from patients being treated at outpatient clinics. Therefore, this study aims to specifically analyze the currently published observational studies containing the "real world" PCSK9 inhibitor data. Our systematic review and meta-analysis will focus on analyzing the efficacy and safety of PCSK9 inhibitors using individual participant data.
DOI: 10.5066/p95ufmis
title: Surface Elevation Table Measurements at Five Tidal Marshes Across the San Francisco Bay-Delta (2016-2019)

description: Surface elevation tables with marker horizons (SET-MH) measure millimeter-scale changes in elevation over time. A combination of pin measurements (elevation change) and surface deposition measurements (marker horizon) is used to distinguish elevation changes due to belowground and aboveground processes. SET-MHs were installed in 2016 and were measured quarterly across five tidal marshes (Petaluma marsh, San Pablo Bay National Wildlife Refuge, Rush Ranch, Browns Island, and Miners Slough). These data support the following publication: Thorne, K., Jones, S., Freeman, C., Buffington, K., Janousek, C., and Guntenspergen, G. 2022. Atmospheric river storm flooding influences tidal marsh elevation building processes. Journal of Geophysical Research: Biogeosciences, https://doi.org/10.1029/2021JG006592
DOI: 10.5255/ukda-sn-855761
title: Remote Work in Public Involvement and Engagement, 2020-2021

description: This study used a mixed method approach comprising of an online survey with public contributors involved in health and social care research; an online survey with public involvement professionals, those who are employed by organisations; and qualitative interviews with public contributors. We had 244 respondents to the public contributor survey and 65 for the public involvement professionals (PIPs) survey and conducted 22 qualitative interviews.
DOI: 10.5281/zenodo.6854770
title: GitRanking: A Ranking of GitHub Topics for Software Classification using Active Sampling

description: Replication package for our paper: GitRanking: A Ranking of GitHub Topics for Software Classification using Active Sampling
DOI: 10.5281/zenodo.5879572
title: GitRanking: A Ranking of GitHub Topics for Software Classification using Active Sampling

description: Replication package for our paper: GitRanking: A Ranking of GitHub Topics for Software Classification using Active Sampling
DOI: 10.5281/zenodo.6853504
title: StackPilot: Contrasting Code Snippets from Stack Overflow and GitHub Copilot

description: Copy-paste programming via Stack Overflow and code generation via GitHub Copilot both define a query/prompt-based programming model. To enable systematic comparison of code copied from Stack Overflow and code generated by GitHub Copilot, we provide a dataset of 30,746 code snippets that Stack Overflow and GitHub Copilot produced in response to the same 2,636 queries/prompts.
DOI: 10.5281/zenodo.6853503
title: StackPilot: Contrasting Code Snippets from Stack Overflow and GitHub Copilot

description: Copy-paste programming via Stack Overflow and code generation via GitHub Copilot both define a query/prompt-based programming model. To enable systematic comparison of code copied from Stack Overflow and code generated by GitHub Copilot, we provide a dataset of 30,746 code snippets that Stack Overflow and GitHub Copilot produced in response to the same 2,636 queries/prompts.
DOI: 10.5281/zenodo.6863694
title: Raw data for the manuscript entitled "Forest age and topographic position jointly shape the species richness and composition of vascular plants in karstic habitats"

description: Doline surveys from the Mecsek Mountains, Hungary. Transects were established with north to south orientation across each doline, traversing their deepest point. Transects began and ended on doline rims, and consisted of 1 m × 1 m plots spaced at 2 m intervals (94, 89, 90 and 99 plots in the different forest age classes, respectively; 372 plots in total). We recorded the presence/absence data of shrubs and herbs in each plot. Fieldwork was carried out between 2007 and 2019 from June to August, at the peak of the growing season.
description: This research was funded by the NKFIH K 124796 grant.
DOI: 10.5281/zenodo.6863693
title: Raw data for the manuscript entitled "Forest age and topographic position jointly shape the species richness and composition of vascular plants in karstic habitats"

description: Doline surveys from the Mecsek Mountains, Hungary. Transects were established with north to south orientation across each doline, traversing their deepest point. Transects began and ended on doline rims, and consisted of 1 m × 1 m plots spaced at 2 m intervals (94, 89, 90 and 99 plots in the different forest age classes, respectively; 372 plots in total). We recorded the presence/absence data of shrubs and herbs in each plot. Fieldwork was carried out between 2007 and 2019 from June to August, at the peak of the growing season.
description: This research was funded by the NKFIH K 124796 grant.
DOI: 10.6084/m9.figshare.20352798
title: dataset-unigram.xlsx

description: Unigram feature file
DOI: 10.6084/m9.figshare.20352798.v1
title: dataset-unigram.xlsx

description: Unigram feature file
DOI: 10.48324/dandi.000207/0.220721.1915
title: Data for: Neurons detect cognitive boundaries to structure episodic memories in humans (Zheng et al., 2022, Nat Neuro in press)

description: This dataset contains human single-neuron data recorded from the medial temporal lobe (MTL) during a set of experiments to explore the role of neurons that respond to cognitive boundaries. This dataset accompanies the paper cited below. Example code on how to plot this data can be found at https://github.com/rutishauserlab/cogboundary-zheng .

Reference (to be updated upon publication):  Cognitive boundary signals in the human medial temporal lobe shape episodic memory representation. Jie Zheng, Andrea Gómez Palacio Schjetnan, Mar Yebra, Clayton Mosher, Suneil Kalia, Taufik A. Valiante, Adam N. Mamelak, Gabriel Kreiman, Ueli Rutishauser. bioRxiv 2021.01.16.426538.  [Nat Neuro, in press, 2022]
DOI: 10.34740/kaggle/dsv/3970705
title: Greater Gcode
DOI: 10.25919/5wy5-g256
title: Parkes observations for project P1152 semester 2022APRS_11

description: A large population of millisecond pulsars (MSPs) is expected in the Galactic bulge and is supported, among others, by the existence of a spatially extended gamma-ray excess emission discovered in Fermi-LAT data towards the inner Galaxy. Discovering MSPs in the Galactic bulge, would be a major breakthrough with strong impact onto several fields. In Berteaud et al. [2021a, 2021b], we have designed a new method to select bulge MSP candidates among Chandra X-ray cataloged sources. We also analysed imaging data of the VLA and identified 5 potential bulge MSP candidates, detected both with Chandra and VLA. Here we propose to follow up these 5 sources with the UWL receiver system on Parkes, which has the unique potential of probe their MSP nature thanks to multi-band, deep, observations. With the requested time, for two high-priority candidates, we will be able identify any bulge MSP with a pulse period P &gt; 1 ms. Three targets at lower priority can be identified as bulge MSP if their period is larger than 4 ms. Our goal is to provide the first multi-wavelength diagnostics of bulge MSPs, gather information about the MSP/pulsar ratio among the bulge X-ray candidates, and, finally, unveil the nature of the mysterious Fermi-LAT excess.
DOI: 10.26300/s6hh-ck05
title: SR-35-0065 Site Investigation and Remediation Document Collection: DOT Appanoag Circulator