cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc237jc8
title: CCDC 1943649: Experimental Crystal Structure Determination

description: Related Article: Dawei Xiao, Zhongzheng Cai, Loi H. Do|2019|Dalton Trans.|48|17887|doi:10.1039/C9DT04288A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7519270
title: Spectral Databases (GNPS, HMDB, MassBank)

description: GNPS saved at 2023-01-09 15:24:46 HMDB saved at 2023-01-09 14:35:46 with release version Current Version (5.0) MassBank saved at 2022-01-09 15:10:52 with release version 2022.12 as mbankNIST.rda
DOI: 10.5281/zenodo.7519269
title: Spectral Databases (GNPS, HMDB, MassBank)

description: GNPS saved at 2023-01-09 15:24:46 HMDB saved at 2023-01-09 14:35:46 with release version Current Version (5.0) MassBank saved at 2022-01-09 15:10:52 with release version 2022.12 as mbankNIST.rda
DOI: 10.6084/m9.figshare.21919035
title: Excess cerebellar granule neurons induced by the absence of p75NTR during development elicit social behavior deficits in mice

description: Excell files containing the statistical test used for every figure in the manuscript. It also includes the values for each analysis
DOI: 10.6084/m9.figshare.21919035.v1
title: Excess cerebellar granule neurons induced by the absence of p75NTR during development elicit social behavior deficits in mice

description: Excell files containing the statistical test used for every figure in the manuscript. It also includes the values for each analysis
DOI: 10.7910/dvn/sltetq
title: Replication Data for: Serious Conflicts with Benign Outcomes? The Electoral Consequences of Conflictual Cabinet Terminations

description: This set of files contains the codes and the dataset for all statistical analyses for the araticle.
DOI: 10.34740/kaggle/dsv/5574001
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.7882002
title: St. Clair-Detroit River Gastropod Counts and Density Information

description: Spreadsheet with original data for Chapter 5 of Shay Keretz' PhD Dissertation at Central Michigan University: "Freshwater Gastropod (Mollusca: Gastropoda) Assemblages and First Detection of an Invasive Species in Two Large Connecting Rivers."
DOI: 10.5281/zenodo.7882001
title: St. Clair-Detroit River Gastropod Counts and Density Information

description: Spreadsheet with original data for Chapter 5 of Shay Keretz' PhD Dissertation at Central Michigan University: "Freshwater Gastropod (Mollusca: Gastropoda) Assemblages and First Detection of an Invasive Species in Two Large Connecting Rivers."
DOI: 10.3886/icpsr38721.v1
title: Healthy Neighborhoods Study, Boston, Massachusetts, 2016-2018
title: Version 1

description: The Healthy Neighborhoods Study (HNS) aimed to better understand the relationship between urban development, neighborhood conditions, and population health in Boston. More specifically, the research completed was the planning and baseline phase for a longer 9 year longitudinal study with two overarching aims: to determine how to measure and evaluate the mid- to long-term impacts of transit-oriented development on neighborhood conditions and population health, and to better understand the drivers and mechanisms that mediate the relationship between neighborhoods and health. The study tracks measures in health, development, neighborhood conditions and resident experiences in nine urban centers in the Boston-metro area.
description: The purpose of this study was to better understand the relationship between urban development, neighborhood conditions, and population health in Boston.
description: Neighborhoods in this study were in the Boston-metro area located near well use public transit hubs, including: Dorchester, Dudley, Mattapan, Roxbury, Chelsea, Everett, Lynn, Brockton, Fall River and New Bedford. The secondary data were collected within a research area defined as a 1/2 mile radius of a well-used transit-hub in each neighborhood at the smallest granularity available (point, census tract or 5-digit zip code). The primary survey data was collected from residents living within the research area. Eligible survey participants held permanent residence in the research site, were 18 years of age and older and spoke one of the languages that the survey was offered in (English, Spanish and Haitian Creole).
description: This study contains variables that fall under the following sections: Demographics and household Housing and neighborhood Health Prioritization Financial security Food security Social support Transportation Local business Discrimination Ownership of change
description: Response Rates: The desired survey sample size was 50 residents in each of the ten research sites (total sample of 500 residents). The actual number of responses was 364.
description: The survey and sampling methodology were developed using community participatory methods. A team of resident researchers in each research site reviewed demographic data for their neighborhoods and selected four demographic characteristics across which to ensure representativeness. For example, groups picked characteristics like race/ethnicity, age, education level, language spoken, nationality or time in neighborhood.
description: Datasets: DS1: Healthy Neighborhoods Study, Boston, Massachusetts, 2016-2018
description: Adult residents age 18 or older living in urban centers in the Boston-metro area. Smallest Geographic Unit: Neighborhood
description: self-enumerated questionnaire; on-site questionnaireFor additional information, please see the study website.
DOI: 10.5281/zenodo.7883421
title: GTDB Genome Contigs DBs for Veseli et al. 2023

description: A collection of anvi'o contigs databases for 338 genomes associated with the human gut environment analyzed in the study by Veseli et al. titled "High metabolic independence is a determinant of microbial resilience in the face of gut stress". These are species cluster representatives from the GTDB, release 95.0. The genomes were processed into contigs databases using the anvi'o contigs workflow. As part of this workflow, they were annotated with KEGG KOfams using `anvi-run-kegg-kofams` and a KEGG snapshot from December 12, 2020 (modules database hash value `45b7cc2e4fdc`). Their association with the gut environment was determined using read recruitment from publicly-available fecal metagenomes. See manuscript and its reproducible workflow for details.
DOI: 10.5281/zenodo.7883420
title: GTDB Genome Contigs DBs for Veseli et al. 2023

description: A collection of anvi'o contigs databases for 338 genomes associated with the human gut environment analyzed in the study by Veseli et al. titled "High metabolic independence is a determinant of microbial resilience in the face of gut stress". These are species cluster representatives from the GTDB, release 95.0. The genomes were processed into contigs databases using the anvi'o contigs workflow. As part of this workflow, they were annotated with KEGG KOfams using `anvi-run-kegg-kofams` and a KEGG snapshot from December 12, 2020 (modules database hash value `45b7cc2e4fdc`). Their association with the gut environment was determined using read recruitment from publicly-available fecal metagenomes. See manuscript and its reproducible workflow for details.
DOI: 10.5281/zenodo.7883452
title: example Gantry 1 steering files

description: example data for the scoDump utility
DOI: 10.5281/zenodo.7882580
title: MUSES Leaf Area Index (LAI) Monthly Global 1km SIN Grid in 2013

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1 km spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2013. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2012</strong></em>, <em>and <strong>click here</strong> to download the MUSES LAI product <strong>in 2014</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2013 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7882579
title: MUSES Leaf Area Index (LAI) Monthly Global 1km SIN Grid in 2013

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1 km spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2013. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2012</strong></em>, <em>and <strong>click here</strong> to download the MUSES LAI product <strong>in 2014</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2013 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.21227/0tc0-pe64
title: Voice record playback of Yuri Gagarin

description: The video with the voice record playback of Yuri Gagarin was implemented with electric drive
DOI: 10.34740/kaggle/dsv/5574344
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.7882387
title: Generation of human induced pluripotent stem cells-derived cortical neurons for high throughput imaging of neurite morphology and neuron maturation

description: Figure 5: Whole cell patch clamping showed the differentiated neurons are functional.
DOI: 10.5281/zenodo.7882388
title: Generation of human induced pluripotent stem cells-derived cortical neurons for high throughput imaging of neurite morphology and neuron maturation

description: Figure 5: Whole cell patch clamping showed the differentiated neurons are functional.
DOI: 10.5281/zenodo.7882381
title: Generation of human induced pluripotent stem cells-derived cortical neurons for high throughput imaging of neurite morphology and neuron maturation

description: Figure 3 - Neurite outgrowth dataset. Comparing neurite outgrowth at Day1 and 15 post-seeding cortical neural progenitors.
DOI: 10.5281/zenodo.7882382
title: Generation of human induced pluripotent stem cells-derived cortical neurons for high throughput imaging of neurite morphology and neuron maturation

description: Figure 3 - Neurite outgrowth dataset. Comparing neurite outgrowth at Day1 and 15 post-seeding cortical neural progenitors.
DOI: 10.6073/pasta/6359b205829aa232f9479ac2e27eb503
title: Long-term above- and belowground net primary production (NPP) measurements from a grassland-shrubland transition zone in the Sevilleta National Wildlife Refuge, New Mexico, USA

description: Drylands are key contributors to interannual variation in the terrestrial carbon sink, which has been attributed primarily to large-scale climatic anomalies that disproportionately affect net primary production (NPP) in these ecosystems. Current knowledge around the patterns and controls of NPP is based largely on measurements of aboveground NPP (ANPP), particularly in the context of altered precipitation regimes. Limited evidence suggests belowground NPP (BNPP), a major input to the terrestrial carbon pool, may respond differently than ANPP to precipitation, as well as other drivers of environmental change, such as nitrogen deposition and fire. This data package accompanies an associated manuscript in which we used sixteen years (2005-2020) of annual NPP measurements, derived from three ongoing long-term research sites, to investigate spatiotemporal responses of ANPP and BNPP to several environmental change drivers across a grassland-shrubland transition zone in the northern Chihuahuan Desert.
DOI: 10.6073/pasta/1cbc37ae4d40b3844b5e4be9f6f18073
title: Meteorology Data from the Sevilleta National Wildlife Refuge, New Mexico

description: These files contain hourly meteorological data that were collected from a network of permanent weather stations on the Sevilleta National Wildlife Refuge as part of the Sevilleta Long Term Ecological Research Program.
DOI: 10.5517/ccdc.csd.cc2cx4m2
title: CCDC 2201794: Experimental Crystal Structure Determination

description: Related Article: Abhishek Kumar Yadav, Vikas D. Ghule, Srinivas Dharavath|2022|ACS Applied Materials and Interfaces|14|49898|doi:10.1021/acsami.2c16414
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cx4p4
title: CCDC 2201796: Experimental Crystal Structure Determination

description: Related Article: Abhishek Kumar Yadav, Vikas D. Ghule, Srinivas Dharavath|2022|ACS Applied Materials and Interfaces|14|49898|doi:10.1021/acsami.2c16414
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cznqr
title: CCDC 2204215: Experimental Crystal Structure Determination

description: Related Article: Abhishek Kumar Yadav, Vikas D. Ghule, Srinivas Dharavath|2022|ACS Applied Materials and Interfaces|14|49898|doi:10.1021/acsami.2c16414
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dn2gm
title: CCDC 2223830: Experimental Crystal Structure Determination

description: Related Article: Sandhya Chahal, Jyoti Punia, Payal Rani, Rajvir Singh, Mayank, Parvin Kumar, Ramesh Kataria, Gaurav Joshi, Jayant Sindhu|2023|RSC Med. Chem.|14|757|doi:10.1039/D2MD00431C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6073/pasta/62b867bfd53d3d87ba294564ca363bd4
title: Projected Snow Cover Reductions and Mid-latitude Cyclone Responses in the North American Great Plains, 1986 - 2005

description: Extratropical cyclones are responsible for major weather events and trends in the mid-latitudes and preferentially develop in regions of enhanced cyclogenesis and proceed along climatological storm tracks. It has been shown that terrestrial snow cover exerts considerable influence on atmospheric baroclinicity which is largely responsible for the aforementioned cyclogeneses and storm tracks. Research about the effect which terrestrial snow cover exerts on cyclones' intensities, trajectories, and precipitation characteristics is limited but indicates a robust relationship with these factors. Many examinations of climate model projections have generally shown a poleward shift in storm tracks by the late 21st century though none have determined the degree to which the coincident poleward shift in snow extent is responsible. A method of imposing 10th, 50th, and 90th percentile values of snow retreat between the late 20th and 21st centuries as projected by 14 models of the Coupled Model Intercomparison Project Phase Five (CMIP5) is used to alter 20 historical cold season cyclones which tracked over or adjacent to the North American Great Plains. Simulations by the Advanced Research version of the Weather Research and Forecast Model (WRF-ARW) are initialized at 0 to 4 days prior to cyclogenesis. Including control and sensitivity testing wherein snow is unaltered or removed entirely, each cyclone case is simulated 25 times for a total of 500 simulations.
DOI: 10.3886/icpsr38721
title: Healthy Neighborhoods Study, Boston, Massachusetts, 2016-2018
title: Archival Version

description: The Healthy Neighborhoods Study (HNS) aimed to better understand the relationship between urban development, neighborhood conditions, and population health in Boston. More specifically, the research completed was the planning and baseline phase for a longer 9 year longitudinal study with two overarching aims: to determine how to measure and evaluate the mid- to long-term impacts of transit-oriented development on neighborhood conditions and population health, and to better understand the drivers and mechanisms that mediate the relationship between neighborhoods and health. The study tracks measures in health, development, neighborhood conditions and resident experiences in nine urban centers in the Boston-metro area.
description: The purpose of this study was to better understand the relationship between urban development, neighborhood conditions, and population health in Boston, MA.
description: Neighborhoods in this study were in the Boston-metro area located near well use public transit hubs, including: Dorchester, Dudley, Mattapan, Roxbury, Chelsea, Everett, Lynn, Brockton, Fall River and New Bedford. The secondary data were collected within a research area defined as a 1/2 mile radius of a well-used transit-hub in each neighborhood at the smallest granularity available (point, census tract or 5-digit zip code). The primary survey data was collected from residents living within the research area. Eligible survey participants held permanent residence in the research site, were 18 years of age and older and spoke one of the languages that the survey was offered in (English, Spanish and Haitian Creole).
description: This study contains variables that fall under the following sections: Demographics and household Housing and neighborhood Health Prioritization Financial security Food security Social support Transportation Local business Discrimination Ownership of change
description: Response Rates: The desired survey sample size was 50 residents in each of the ten research sites (total sample of 500 residents). The actual number of responses was 364.
description: The survey and sampling methodology were developed using community participatory methods. A team of resident researchers in each research site reviewed demographic data for their neighborhoods and selected four demographic characteristics across which to ensure representativeness. For example, groups picked characteristics like race/ethnicity, age, education level, language spoken, nationality or time in neighborhood.
description: Datasets: DS1: Healthy Neighborhoods Study, Boston, Massachusetts, 2016-2018
description: Adult residents age 18 or older living in urban centers in the Boston-metro area. Smallest Geographic Unit: Neighborhood
description: self-enumerated questionnaire; on-site questionnaireFor additional information, please see the study website.
DOI: 10.5281/zenodo.7883562
title: desmognathus_aeneus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7883561
title: desmognathus_aeneus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7883570
title: desmognathus_welteri_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7883569
title: desmognathus_welteri_zanfona_1.fasta.gz

description: .