cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8bshtfjw97.1
title: screen

description: data of screen time, dietary patterns and academic achievment in children 9-11 y
DOI: 10.17632/chcwmz43hh.1
title: Supplementary Material

description: Determination of linoleic and alpha-linolenic acids requirements for dairy cows using a meta-analysis approach  - Supplementary Material
DOI: 10.17632/tnbmktppst.1
title: Data for: Sphalerite weathering and controls on Zn and Cd migration in mine waste rock: An integrated study from the molecular scale to the field scale

description: Solid-phase, pore-water, and seepage geochemistry data, EMPA data, EDS spectra, and micro XANES spectra of Zn, S, Fe, and Cu
DOI: 10.17632/vvn5bnngxm.5
title: Assessment of Climate Change Impact on Ambient Air Quality of Industrial, Urban and Rural Belts in and around Ahmedabad Metro City, Gujarat, India

description: Intergovernmental Panel on Climate Change (IPCC) stated that climate change could attribute directly by natural processes or indirectly through anthropogenic changes in the composition of the atmosphere. The impacts of climate change due to deforestation, industrialization, urbanization and agricultural practices on air quality and human health and ecosystem are vulnerable. The aim of this study was to correlate impacts of climate change on ambient air quality (AAQ: NOx, SOx, NH3, PM2.5, PM10 - µg/m3), meteorological parameters (MET: Temperature (°C), Surface Temp. (°C), Light Intensity (Lux), Wind Speed (kmh), Relative Humidity (%), greenhouse gases (GHG: CO2, N2O, CH4 - ppmv) and air quality index (AQI) of industrial (IN), urban (UR) and rural (RU) belts in and around Ahmedabad Metro City (AMC), Gujarat, India during Phase-I (P-I, January), Phase-II (P-II, February) and Phase-III (P-III, March) in 2021. Gradients of AAQ in studied zones was NOx (IN: 35.21, UR: 26.85, RU: 15.41), SOx (IN: 76.48, UR: 34.41, RU: 12.59), NH3 (UR: 49.33, IN: 42.36, RU: 11.17), PM2.5 (UR: 5.50, IN: 3.06, RU: 2.28) and PM10 (IN: 7.12, UR: 5.38, RU: 2.19); MET (Temperature: UR: 40.40, RU: 31.70, IN: 27.60; Surface Temp.: UR: 43.17, RU: 35.20, IN: 31.97; Light Intensity: UR: 1446.00, RU: 10294.00, IN: 6360.70; Wind Speed: IN: 4.67, RU: 3.73, UR: 2.40; Relative Humidity: IN: 41.77, UR: 35.93, RU: 32.97); AQI (P-I: IN: 77.40, UR: 54.76, RU: 16.71; P-II: IN: 102.42, UR: 68.45, RU: 25.64; P-III: IN: 123.04, UR: 84.79, RU: 41.87; IN: 100.95- Unhealthy for Sensitive People, UR: 69.33, RU: 28.07-Good; AMC: 66.12-Moderate); GHG (CO2: RU: 1359.14, IN: 1002.71, UR: 884.05; N2O: IN: 154.39, UR: 138.86, RU: 128.11; CH4: RU: 0.78, UR: 0.73, IN: 0.64). Overall, NOx & SOx were more in IN, NH3 & PM2.5 in UR, PM10 in RU; Temperature, Surface Temp. & Light Intensity in UR, Wind Speed & Relative Humidity in IN; AQI in IN was Unhealthy for Sensitive People, Moderate in UR, Good in RU and Moderate in AMC; CO2 in IN, N2O in UR, CH4 in RU. The study concludes that the air quality of Ahmedabad Metro City is on ‘Good (Rural) to Moderate (Urban)’ scale for normal living, and ‘Unhealthy for Sensitive People’ for population residing in or near industrial zone. The findings of the present study warrant the implicative measures of climate change policies to promote public transportation in lower pollution levels for lesser greenhouse emissions on crossroads. Garbage burning and linked toxic emissions need an immediate management solutions in fringe areas of the city. The dust re-suspension on the roads due to the vehicular movement is the low-hanging fruit for immediate improvements in city’s air quality. The brick oven sector, although outside the town body limits, has a significant role in reducing pollution and providing the co-benefits attributable to the combination of fuels (including biomass), alternative pollutants like Black Carbon has a significant role to play within the climate policy.
DOI: 10.17632/5pf5p88jrp.2
title: Measuring the impact of awareness to information on Women’s Longevity

description: Life expectancy as a statistical measure of the average time humans are expected to live
is based on countless parameters and variables. Year of birth, demographics, gender, ethnic
group and immigration, education, income, habits and lifestyle are just some of them. In
recent decades, life expectancy has risen by tens of percent and this fact has a multitude of
reasons.

Many questions are raised about Life expectancy and its ability to influence it, and
these questions are troubling to many researchers and the general population. These questions
and studies have been growing in recent years in light of the understanding that Life
expectancy significantly affects the personal and global economy which affects the personal
resilience of the public and the resilience of the country and its systems. These effects,
economic and business, are significant and very wide-ranging and the world is shaping its
future in light of these effects as I will count in a number of examples such as: impact on health
systems and the need for additional funding, employment and job vacancies, impact on
benefits and pensions, insurance and redemptions, longer-term savings and loans, the
creation of more diverse places of entertainment and employment for the elderly, and many
other diverse economic and business impacts.

There are many approaches that present themselves as influencing statistics and the
ability to improve Life Expectancy, some complement each other and others contradict each
other. Therefore, these questions do not receive unequivocal answers and are still very much
hidden. Right now, different sections of the population are adopting different approaches in
the hope that these will affect their longevity, is there a proven impact? Does Life Expectancy
stand on its own or does it also depend on Quality of life?

In this research, advanced statistical tools will be used which will try to predict the Life
expectancy of an individual and allow them to adopt an approach that is individually
appropriate while changing parameters and variables (parameters that are not dependent on
existing fact) that will improve the Life expectancy and Quality of life.

This study will examine the impact of Life expectancy on women, reflecting practical
results that indicate the gender population. In addition to the above, this hypothesis is even
more powerful these days when we all experience the epidemic that is underway around the
world following the covid-19 virus and its impact on the different populations and its Life
expectancy.
DOI: 10.17632/dv52g48ypb.1
title: Data from PestLens biosurveillance articles from 2008-2018, plus genus and country matching lists

description: Data scraped from an online repository 1,925 articles collected by the biosurveillance program, PestLens (2019) from 2008-2018, and then edited. The 1,612 edited records shown had usable information for report date, pest species taxonomy and type, and country of report. 
Also included are the genera and country matching lists.

PestLens (2019) Preclearance and Offshore Programs, Plant Protection and Quarantine, U.S. Department of Agriculture, and Center for Integrated Pest Management, North Carolina State University. https://pestlens.info/. Accessed April 11, 2019
DOI: 10.17632/dgb8d7h2hz.2
title: Membrane-associated cytoplasmic granules carrying the Argonaute protein WAGO-3 enable paternal epigenetic inheritance in Caenorhabditis elegans

description: BigDataViewer files cited in Schreier et al. 2021. Use of these files is described in the Schreier et al. 2021.
DOI: 10.17632/rn749yywmp.1
title: Insect survey detections data for quantifying dispersal distances to predict delimiting survey radii

description: Trapping survey detections data for five insect species and one mollusk (traps and other finds), with latitudes and longitudes and other spatial identifications removed per agreement with agencies. Species and survey data as follows:
European grapevine moth (EGVM), Lobesia botrana, California, 2011-2013, Source: CDFA (California Department of Food and Agriculture)
Giant African landsnail (GALS), Achatina fulica, Florida, 2011-2020, Source: FDACS (Florida Department of Agriculture and Consumer Services)
Japanese beetle (JB), Popillia japonica, California, 2010-2019, Source: CDFA
Medfly, Ceratitis capitata, California, 2015-2019, Source: CDFA
Medfly, Florida, 1956-2011, Source: FDACS
Mexfly, Anastrepha ludens, Texas, 2016-2019, Source: PPQ (Plant Protection and Quarantine, USDA)
Oriental fruit fly (OFF), Bactrocera dorsalis, California, 2015-2019, Source: CDFA
OFF, Florida, 1995-2018, Source: FDACS
"Raw detections data v1.xlsx" is the collection of all detections. "Collected distances data v1.xlsx" is the data after clustering for proximity in time and space has been done. This data includes clustering information and distances calculated for each detection from the cluster centroid.
DOI: 10.17632/6r6kt7km7b.1
title: TEST Sustainable Corn CAP Research Data (USDA-NIFA Award No. 2011-68002-30190)

description: TEST The Sustainable Corn CAP (Cropping Systems Coordinated Agricultural Project: Climate Change, Mitigation, and Adaptation in Corn-based Cropping Systems) was a multi-state transdisciplinary project supported by the USDA National Institute of Food and Agriculture (Award No. 2011-68002-30190). Research experiments were located through the U.S. Corn Belt and examined farm-level adaptation practices for corn-based cropping systems to current and predicted impacts of climate change.

Research data were collected from 2011 to 2015 at research sites in 8 states: Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, and Wisconsin. The research coverage area spanned 95.3°W to 81.9°W and 38.5°N to 44.7°N. Research sites encompassed a varying set of management practices including crop rotation, cover crop, tillage, drainage, and nitrogen management, with several sites having landscape position incorporated as an additional treatment. These treatments were typically arranged in a randomized complete block design as a complete factorial or main-split plot with 3 to 4 replications per site. It should be noted that none of the sites were identical in terms of treatment structure or data collected as sites were a combination of previously and newly established experiments that aligned with project research goals.

The dataset contains agronomic, soil, water, greenhouse gas, crop disease, and pest data collected from 30 sites. Standardized protocols were developed and followed by the project team for estimating C, N, and water footprints of corn production in the region and performing baseline monitoring. Variables measured during the five-year period include: grain and biomass yield, C and N content in crop grain and vegetation, soil water moisture and temperature, C and N concentration in soil, greenhouse gas fluxes, drainage water quality and quantity, groundwater table and others. Hourly or sub-hourly weather data are also provided for each location.

In addition, the dataset includes site description (e.g. site location, plot area, soil type), field management information (e.g. planting, harvesting, tillage and fertilizer application dates, seeding rate, fertilizer and pesticide type and application rate), and experimental design (e.g. plot identifiers, experimental treatments, variables measured).
DOI: 10.25721/3qst-yz75
title: Information sur la vie de Monsieur Rascalou
DOI: 10.17632/t8g8v22rd7.1
title: Curation workflow test dataset

description: Testing parts of the curation workflow.
DOI: 10.25721/10n5-1720
title: Information sur les clous de sabots
DOI: 10.5519/qd.ew9i6z9g
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.hqgnjmrp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.25721/w811-bd83
title: Information sur les propriétés de la région
DOI: 10.25721/359y-0308
title: Information sur les cabrettaires
DOI: 10.14457/cu.the.2017.948
title: General pseudo-polynomials in FQ((1/X))
DOI: 10.14457/cu.the.2017.949
title: Complete convergence for sequences of coordinatewise widely orthant dependent random vectors in hilbert spaces
DOI: 10.14457/cu.the.2017.950
title: Quotients ixduced from exponents of finite commutative rings
DOI: 10.14457/cu.the.2017.951
title: Non-uniform bounds on normal approximation via stein's method and exchangeable pair
DOI: 10.14457/cu.the.2017.952
title: F-CS-Rickart Modules
DOI: 10.14457/cu.the.2017.953
title: Prediction model of water quality in Chaophraya River using artificial neural network
DOI: 10.14457/cu.the.2017.954
title: Boundedness of green operators for nonlocal equations on weighted lebesgue spaces
DOI: 10.14457/cu.the.2017.955
title: Measurement for disordered proteins affecting scale-free network
DOI: 10.14457/cu.the.2017.956
title: Explicit formula for conditional expectations of product of polynomial and exponential function of affine transform of extended cox-ingersoll-ross process
DOI: 10.25721/qagz-ks13
title: Information sur les bourrées
DOI: 10.25721/0qmh-tz77
title: Information sur le cabrettaire et l'accordéonniste
DOI: 10.5281/zenodo.5751966
title: Complementary material of the WorkStream 1 of project 4SECURail

description: Deliverables, models, artifacts developed within WP2 of the Shift2Rail project 4SECURAil.
DOI: 10.5281/zenodo.4280773
title: Complementary material of the WorkStream 1 of project 4SECURail

description: Deliverables, models, artifacts developed within WP2 of the Shift2Rail project 4SECURAil.
DOI: 10.25721/pxbj-v905
title: Information sur le nom des vaches
DOI: 10.5281/zenodo.5749931
title: Maps of relevant snow and frost parameters for the analysis of future vegetation changes in Swiss forests

description: The latest climate scenarios for Switzerland (CH2018) predict significant changes in temperature and precipitation in the future. This dataset contains maps snow and frost parameters calculated from climate variables that might have significant influence on future forest development. The following factors were calculated for the reference period 1981 - 2010 and the future period 2070 - 2099: Mean first and mean last frost day of the year, date of freezing and thawing of the ground, start and end of constant snow layer, risk of drought caused by frozen ground, wet snow intensity, probability of tree damages because of wet snow. Three different results were calculated for the period 2070 - 2099, based on three different representative concentration pathways (RCP2.6, RCP4.5, RCP8.5, CH2018). Explanations concerning model structure, usability and uncertainties in the data sets can be found in the project report.
DOI: 10.5281/zenodo.5749930
title: Maps of relevant snow and frost parameters for the analysis of future vegetation changes in Swiss forests

description: The latest climate scenarios for Switzerland (CH2018) predict significant changes in temperature and precipitation in the future. This dataset contains maps snow and frost parameters calculated from climate variables that might have significant influence on future forest development. The following factors were calculated for the reference period 1981 - 2010 and the future period 2070 - 2099: Mean first and mean last frost day of the year, date of freezing and thawing of the ground, start and end of constant snow layer, risk of drought caused by frozen ground, wet snow intensity, probability of tree damages because of wet snow. Three different results were calculated for the period 2070 - 2099, based on three different representative concentration pathways (RCP2.6, RCP4.5, RCP8.5, CH2018). Explanations concerning model structure, usability and uncertainties in the data sets can be found in the project report.
DOI: 10.5517/ccdc.csd.cc21rs3q
title: CCDC 1899683: Experimental Crystal Structure Determination

description: Related Article: Liang Taoyuan|2019|CSD Communication|||
description: Related Article: Taoyuan Liang, He Zhao, Lingzhen Gong, Huanfeng Jiang, Min Zhang|2021|Chem.Commun.|57|12976|doi:10.1039/D1CC05521F
DOI: 10.5517/ccdc.csd.cc26jc6b
title: CCDC 2041511: Experimental Crystal Structure Determination

description: Related Article: Michal Aman, Libor Dostál, Aleš Růžička, Jiří Tydlitát, Jens Beckmann, Jan Turek, Roman Jambor|2021|Chem.Commun.|57|12992|doi:10.1039/D1CC06173A
DOI: 10.5517/ccdc.csd.cc26jc7c
title: CCDC 2041512: Experimental Crystal Structure Determination

description: Related Article: Michal Aman, Libor Dostál, Aleš Růžička, Jiří Tydlitát, Jens Beckmann, Jan Turek, Roman Jambor|2021|Chem.Commun.|57|12992|doi:10.1039/D1CC06173A
DOI: 10.5517/ccdc.csd.cc26jc8d
title: CCDC 2041513: Experimental Crystal Structure Determination

description: Related Article: Michal Aman, Libor Dostál, Aleš Růžička, Jiří Tydlitát, Jens Beckmann, Jan Turek, Roman Jambor|2021|Chem.Commun.|57|12992|doi:10.1039/D1CC06173A
DOI: 10.5517/ccdc.csd.cc28s1ns
title: CCDC 2108485: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Johannes Blanckenberg, Clemens Bruhn, Ulrich Siemeling|2021|Chem.Commun.|57|12984|doi:10.1039/D1CC05287J
DOI: 10.5517/ccdc.csd.cc28s1pt
title: CCDC 2108486: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Johannes Blanckenberg, Clemens Bruhn, Ulrich Siemeling|2021|Chem.Commun.|57|12984|doi:10.1039/D1CC05287J
DOI: 10.5517/ccdc.csd.cc28s1qv
title: CCDC 2108487: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Johannes Blanckenberg, Clemens Bruhn, Ulrich Siemeling|2021|Chem.Commun.|57|12984|doi:10.1039/D1CC05287J
DOI: 10.5517/ccdc.csd.cc28s1rw
title: CCDC 2108488: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Johannes Blanckenberg, Clemens Bruhn, Ulrich Siemeling|2021|Chem.Commun.|57|12984|doi:10.1039/D1CC05287J
DOI: 10.5517/ccdc.csd.cc28s1sx
title: CCDC 2108489: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Johannes Blanckenberg, Clemens Bruhn, Ulrich Siemeling|2021|Chem.Commun.|57|12984|doi:10.1039/D1CC05287J
DOI: 10.5517/ccdc.csd.cc28s1ty
title: CCDC 2108490: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Johannes Blanckenberg, Clemens Bruhn, Ulrich Siemeling|2021|Chem.Commun.|57|12984|doi:10.1039/D1CC05287J
DOI: 10.5517/ccdc.csd.cc28s1vz
title: CCDC 2108491: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Johannes Blanckenberg, Clemens Bruhn, Ulrich Siemeling|2021|Chem.Commun.|57|12984|doi:10.1039/D1CC05287J
DOI: 10.5517/ccdc.csd.cc28s1w0
title: CCDC 2108492: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Johannes Blanckenberg, Clemens Bruhn, Ulrich Siemeling|2021|Chem.Commun.|57|12984|doi:10.1039/D1CC05287J
DOI: 10.5517/ccdc.csd.cc28s1x1
title: CCDC 2108493: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Johannes Blanckenberg, Clemens Bruhn, Ulrich Siemeling|2021|Chem.Commun.|57|12984|doi:10.1039/D1CC05287J
DOI: 10.5517/ccdc.csd.cc28s1y2
title: CCDC 2108494: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Johannes Blanckenberg, Clemens Bruhn, Ulrich Siemeling|2021|Chem.Commun.|57|12984|doi:10.1039/D1CC05287J
DOI: 10.5517/ccdc.csd.cc28s1z3
title: CCDC 2108495: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Johannes Blanckenberg, Clemens Bruhn, Ulrich Siemeling|2021|Chem.Commun.|57|12984|doi:10.1039/D1CC05287J
DOI: 10.5517/ccdc.csd.cc28ssb6
title: CCDC 2109188: Experimental Crystal Structure Determination

description: Related Article: Kaede Kawaguchi, Ayana Moro, Soya Kojima, Yuji Kubo|2021|Chem.Commun.|57|12952|doi:10.1039/D1CC05492A
DOI: 10.5517/ccdc.csd.cc29bly6
title: CCDC 2125358: Experimental Crystal Structure Determination

description: Related Article: Darrin Richeson|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc29blz7
title: CCDC 2125359: Experimental Crystal Structure Determination

description: Related Article: Darrin Richeson|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc29bmfq
title: CCDC 2125373: Experimental Crystal Structure Determination

description: Related Article: Darrin Richeson|2021|CSD Communication|||
DOI: 10.25721/1a0r-g514
title: Information sur les danses et les instruments de noces
DOI: 10.5281/zenodo.5733952
title: Biomagnetic characterisation of air pollution particulates in Lahore, Pakistan

description: This dataset includes raw magnetic data measured at room and low temperatures.
DOI: 10.5281/zenodo.5733951
title: Biomagnetic characterisation of air pollution particulates in Lahore, Pakistan

description: This dataset includes raw magnetic data measured at room and low temperatures.
DOI: 10.6084/m9.figshare.17121617
title: Interview transcripts_schuetz et al_virtual stable tours pig husbandry

description: The data are the interview transcripts from the semi-structured in-depth interviews conducted as part of the experiment.
DOI: 10.6084/m9.figshare.17121617.v1
title: Interview transcripts_schuetz et al_virtual stable tours pig husbandry

description: The data are the interview transcripts from the semi-structured in-depth interviews conducted as part of the experiment.
DOI: 10.6084/m9.figshare.17086139
title: Flowering phenology data

description: Phenological assessment of selected specimens of vascular plants from the Trondheim herbariumFull methdological details are given in Appendix A.<br>
DOI: 10.6084/m9.figshare.17086217
title: Breeding bird densities in Endalen

description: Abundance of boreal forest breeding birds acquired from a survey of a 0.24km^2 transect annually from 1967-2018 (except 1998-1999). The transect is located in subalpine birch forest at 800-880masl in Endalen, Norway 62deg45'Nm, 10deg30'E)<br>
DOI: 10.6084/m9.figshare.17086217.v1
title: Breeding bird densities in Endalen

description: Abundance of boreal forest breeding birds acquired from a survey of a 0.24km^2 transect annually from 1967-2018 (except 1998-1999). The transect is located in subalpine birch forest at 800-880masl in Endalen, Norway 62deg45'Nm, 10deg30'E)<br>
DOI: 10.6084/m9.figshare.17086277
title: Atna watershed aquatic invertebrates

description: Diversity of mayflies and stoneflies quantified from a long-term data set at several elevational levels within the Atna catchment in Rondane, Norway. Between 1980 and 2002 sampling was with surbar samples. From 2002 to 2020 sampling was carried out using kick samples.<br>
DOI: 10.6084/m9.figshare.17086277.v1
title: Atna watershed aquatic invertebrates

description: Diversity of mayflies and stoneflies quantified from a long-term data set at several elevational levels within the Atna catchment in Rondane, Norway. Between 1980 and 2002 sampling was with surbar samples. From 2002 to 2020 sampling was carried out using kick samples.<br>
DOI: 10.6084/m9.figshare.16924495
title: Hypothalamic melanin-concentrating hormone regulates hippocampus-dorsolateral septum activity

description: Dataset for figures.
DOI: 10.6084/m9.figshare.16924495.v1
title: Hypothalamic melanin-concentrating hormone regulates hippocampus-dorsolateral septum activity

description: Dataset for figures.
DOI: 10.6084/m9.figshare.17104829
title: CG. Report 6: The effects of Covid-19 in Care Homes: Mixed Methods Review

description: The data is from a mixed-methods approach to address address three main questions:1 What were the mortality rates in care homes by country? 2. How does the mortality in care homes compare with previous periods? 3. What explains any excess mortality in care homes?List of Tables available in FigshareTable 1. Excess Deaths Study Characteristics Table 2. Care Homes Excess Deaths Study OutcomesTable 3. Quality Assessment: Care Home Excess Deaths studies: Newcastle Ottawa ScaleTable 4. Care Home intervention/exposure studies characteristics Table 5. Care Home intervention/exposure studies outcomesTable 6. Quality Assessment: Care Home Intervention/Exposure studies: Newcastle Ottawa ScaleFigure 1. Flow chartProtocol available at FigshareAppendix 1 National Mortality Data<br><br>