cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.kh1893283
title: Cellular composition and circuit organization of mouse locus coeruleus

description: The locus coeruleus (LC) houses the vast majority of noradrenergic neurons
 in the brain and regulates many fundamental functions including fight and
 flight response, attention control, and sleep/wake cycles. While efferent
 projections of the LC have been extensively investigated, little is known
 about its local circuit organization. Here, we performed large-scale
 multi-patch recordings of noradrenergic neurons in adult mouse LC to
 profile their morpho-electric properties while simultaneously examining
 their interactions. LC noradrenergic neurons are diverse and could be
 classified into two major morpho-electric types. While fast excitatory
 synaptic transmission among LC noradrenergic neurons was not observed in
 our preparation, these mature LC neurons connected via gap junction at a
 rate similar to their early developmental stage and comparable to other
 brain regions. Most electrical connections form between dendrites and are
 restricted to narrowly spaced pairs or small clusters of neurons of the
 same type. In addition, more than two electrically coupled cell pairs were
 often identified across a cohort of neurons from individual multi-cell
 recording sets that followed a chain-like organizational pattern. The
 assembly of LC noradrenergic neurons thus follows a spatial and cell
 type-specific wiring principle that may be imposed by a unique chain-like
 rule.
description: Slice electrophysiology, morphology reconstruction，computation
 modeling
description: MS Excel, Neurolucida Explorer
 (https://www.mbfbioscience.com/products/neurolucida-explorer), MATLAb
 (R2021a, The Mathworks, Natick, MA)
DOI: 10.57707/fmi-b2share.7abty-64559
title: Data and code for the manuscript "Mapping the dependence of BC radiative forcing on emission region and season" by Petri Räisänen et al. (submitted to ACP)

description: This dataset presents results from experiments, in which the dependence of black carbon (BC) radiative forcing on emission location and season has been systematically evaluated with the NorESM1-Happi climate model. Also provided are GrADS scripts and fortran programs employed to generate the results in the manuscript (Räisänen et al. 2022, submitted to ACP) in which these data are used. A related resource (a fortran-based tool for estimating the BC global-mean radiative forcing and associated temperature response based on the region and annual or monthly BC emission rates given by the user) is provided at https://doi.org/10.5281/zenodo.6461647 (Räisänen 2022).

REFERENCE TO THE MANUSCRIPT (please refer to the final accepted version if/when the paper will be accepted!):
Räisänen, P., Merikanto, J., Makkonen, R., Savolahti, M., Kirkevåg, A., Sand, M., Seland, Ø., and Partanen, A.-I.: Mapping the dependence of BC
radiative forcing on emission location and season, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-288, in review, 2022. 

REFERENCE TO THE TOOL AVAILABLE AT ZENODO:
Räisänen, Petri: BC radiative forcing and climate response tool, version 1.0.0, Zenodo (code), https://doi.org/10.5281/zenodo.6461647, 2022.
description: NorESM1-Happi (Graff et al., https://doi.org/10.5194/esd-10-569-2019) was run at a horizontal resolution of ca. 1.9 x 2.5 deg (144 x 96 grid points) with 26 levels in the vertical. The model was run for years 2012-2017, and data is provided for 2013-2017. The experiments used prescribed sea surface temperature and sea ice. The model aerosol scheme was run in an offline mode, which means that the meteorological conditions are not influenced by the assumed aerosol emissions. This allowed for an essentially noise-free evaluation of the radiative forcing (RF) associated with changed BC emissions. To investigate how the BC RF depends on emission region and season, a very large number of experiments (960) was made, in which a fixed BC emission rate (1.E-12 kg m-2 s-1) was assumed separately for 192 regions (ca. 11.4 x 30 deg latitude-longitude boxes) and for five seasonal distributions of emissions. Evaluation of the methodology given in the manuscript showed that this approach works reasonably well for the BC direct RF and for the  RF due to BC in snow, but not for the BC indirect effects on clouds. It should also be understood that NorESM1-Happi, like any climate model, is subject to model-specific biases that may influence the derived BC RF.
description: The contents of the data files are described in the file "README_data.txt". The contents of the file containing code "fortran_programs_and_GrADS_scripts.zip" are described in "README_code.txt" as well as in README files included in the zip file.
The terms of use for the data and the code are given in the files "License_data.txt" and "License_code.txt", respectively.
DOI: 10.57707/fmi-b2share.f6kcp-h5082
title: Data and code for the manuscript "Mapping the dependence of BC radiative forcing on emission region and season" by Petri Räisänen et al. (submitted to ACP)

description: This dataset presents results from experiments, in which the dependence of black carbon (BC) radiative forcing on emission location and season has been systematically evaluated with the NorESM1-Happi climate model. Also provided are GrADS scripts and fortran programs employed to generate the results in the manuscript (Räisänen et al. 2022, submitted to ACP) in which these data are used. A related resource (a fortran-based tool for estimating the BC global-mean radiative forcing and associated temperature response based on the region and annual or monthly BC emission rates given by the user) is provided at https://doi.org/10.5281/zenodo.6461647 (Räisänen 2022).

REFERENCE TO THE MANUSCRIPT (please refer to the final accepted version if/when the paper will be accepted!):
Räisänen, P., Merikanto, J., Makkonen, R., Savolahti, M., Kirkevåg, A., Sand, M., Seland, Ø., and Partanen, A.-I.: Mapping the dependence of BC
radiative forcing on emission location and season, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-288, in review, 2022. 

REFERENCE TO THE TOOL AVAILABLE AT ZENODO:
Räisänen, Petri: BC radiative forcing and climate response tool, version 1.0.0, Zenodo (code), https://doi.org/10.5281/zenodo.6461647, 2022.
description: NorESM1-Happi (Graff et al., https://doi.org/10.5194/esd-10-569-2019) was run at a horizontal resolution of ca. 1.9 x 2.5 deg (144 x 96 grid points) with 26 levels in the vertical. The model was run for years 2012-2017, and data is provided for 2013-2017. The experiments used prescribed sea surface temperature and sea ice. The model aerosol scheme was run in an offline mode, which means that the meteorological conditions are not influenced by the assumed aerosol emissions. This allowed for an essentially noise-free evaluation of the radiative forcing (RF) associated with changed BC emissions. To investigate how the BC RF depends on emission region and season, a very large number of experiments (960) was made, in which a fixed BC emission rate (1.E-12 kg m-2 s-1) was assumed separately for 192 regions (ca. 11.4 x 30 deg latitude-longitude boxes) and for five seasonal distributions of emissions. Evaluation of the methodology given in the manuscript showed that this approach works reasonably well for the BC direct RF and for the  RF due to BC in snow, but not for the BC indirect effects on clouds. It should also be understood that NorESM1-Happi, like any climate model, is subject to model-specific biases that may influence the derived BC RF.
description: The contents of the data files are described in the file "README_data.txt". The contents of the file containing code "fortran_programs_and_GrADS_scripts.zip" are described in "README_code.txt" as well as in README files included in the zip file.
The terms of use for the data and the code are given in the files "License_data.txt" and "License_code.txt", respectively.
DOI: 10.15468/dl.q6p898
title: Occurrence Download

description: A dataset containing 944 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Graphium nomius"
 ]
}

 The dataset includes 944 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003133-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6078/d1013r
title: Data for: Quantifying direct yield benefits of soil carbon increases from cover cropping

description: Cropland management practices that restore soil organic carbon (SOC) are
 increasingly presented as climate solutions that also enhance yields. But
 how often these benefits align at the farm level — the scale of farmers’
 decision-making — remains uncertain. We examined concurrent SOC and yield
 responses to cover cropping, including their direct connection, with a
 global meta-analysis. Cover cropping simultaneously increased yields and
 SOC in 59.7% of 434 paired observations. Increases in SOC helped increase
 crop yields in soils with initial SOC concentrations below 11.6 g kg-1;
 for example, a change from 5 g kg-1 to 6 g kg-1 increased yields by 2.4%.
 These yield benefits of SOC did not decline as nitrogen inputs increased
 or when legume cover crops were used, suggesting fertility inputs cannot
 substitute for SOC effects. Integrating legume cover crops into systems
 with simplified rotations or with nitrogen inputs &lt; 157 kg N ha-1
 season-1 led to the largest yield increases (up to 24.3%), with legumes
 also increasing SOC more than non-legumes (up to 1.5 g C kg-1). By
 simultaneously increasing yields and SOC, targeting cover crops on low
 carbon soils is an opportunity to benefit both food security and climate.
description: Please see methods in corresponding publication in Nature
 Sustainability.
description: Please see R scripts for processing and analyzing data.
DOI: 10.5061/dryad.jsxksn0cd
title: Full list of publications dealing with resources nutritional quality in ecology

description: Our understanding of ecosystem functioning is strongly linked to the study
 of predator-prey relationships and food web structures. However, trophic
 ecology has often focused on identifying taxonomic relationships and
 quantifying the biomass or energy ingested by consumers, but has often
 failed to integrate the importance of the nutritional quality of resources
 in ecological dynamics. Underlying this gap is the multi-dimensional
 nature of resource quality which has hampered any consensus on the
 definition of resource nutritional quality. In this special issue, we
 aimed at gathering a subset of articles exemplifying the diversity of
 variables by which resources quality is quantified, the diversity of
 research topics that can be tackled in ecology - from physiological or
 evolutionary aspects to ecosystem processes - and propose some
 perspectives on the integration of nutritional quality within broader
 ecological concepts. Using a semi-automated literature analysis, we map
 the current landscape of the “resources nutritional quality” research of
 the last 30 years. We depict how it has been quantified through physical,
 biological or chemical indicators, the use of these parameters being
 largely dependent on the type of ecosystem studied and on the investigated
 ecological process. We then position the articles published in this
 special issue of Oikos within this landscape, showing they cover a small
 but relatively well representative subset of the domains of resources
 quality-related issues. Articles in this special issue browse a range of
 individual and population-level approaches (embracing evolutionary
 questions) to community related questions, include methodological issues
 and ecosystem-wide approaches using trophic quality indicators as tracers
 of resources origin. Based on these studies and on the literature review,
 we identify a non-exhaustive list of challenges and perspectives of
 research that we consider of highest priority in the large topic of
 trophic ecology.
description: Web of Science search
 (1991-2020) using the terms ("nutrition* quality" OR
 "quality prey" OR "quality food" OR "quality
 resource*" OR "diet quality"  OR "resource*
 quality"  OR "food quality"  OR "prey* quality")
 and restricting Web of Science categories to fields related to
 environmental sciences and Ecology. This research, was conducted on 20
 November 2020.
description: N/A correspond to missing data
DOI: 10.5061/dryad.tqjq2bw28
title: Data from: Contrasting climate sensitivity of Pinus cembra tree-ring traits in the Carpathians

description: High elevation ecosystems are one of the most sensitive to climate change.
 The analysis of growth and xylem structure of trees from marginal
 populations, especially the ones growing at the treeline, could provide
 early-warning signs to better understand species-specific responses to
 future climate conditions. In this study, we combined classical
 dendrochronology with wood density and anatomical measurements to
 investigate the climate sensitivity of Pinus cembra L., a typical European
 high-elevation tree species distributed in isolated patches in the
 Carpathians. Samples were collected from the Retezat Mountains,
 South-Western Romania. We analyzed ring-width (TRW), maximum density
 (MXD), xylem anatomical traits (cell number per ring (CNo), cell density
 (CD), conduit area (CA), and cell-wall thickness (CWT)) time series, split
 into ring sectors and assessed the relationships with monthly and daily
 climate records over the last century (1901-2015). The analysis showed a
 strong dependency of TRW on CNo and MXD on CWT. Summer temperature
 positively correlated with MXD and CWT (monthly correlation (r) were 0.65
 and 0.48 respectively) from the early- to late-wood but not TRW (r=0.22).
 CA positively correlated with water availability (r=0.37) and negatively
 correlated with temperature (r=-0.39). This study improves our general
 understanding of the climate-growth relationships of a European
 high-elevation tree species and the results could be considered for
 forecasting population dynamics on projected changes in climate.
description: These files include the data
 used to analyze: i) time series of tree-ring and xylem anatomical traits
 of Pinus cembra L. and climate data from the Retezat Mountains,
 South-Western Romania; ii) the association between TRW, MXD, and xylem
 traits chronologies; iii) the relationships with monthly and daily climate
 records over the last century (1901–2015). In particular, we analysed
 tree-ring width (TRW), maximum density (MXD), xylem anatomical traits
 [cell number per ring (CNo), cell density (CD), conduit area (CA), and
 cell wall thickness (CWT)] time series, split into ring sectors and
 assessed the relationships with monthly and daily climate records (mean
 temperature, accumulation of precipitation, and scPDSI). Variables are
 organized in columns and named with the acronyms described in Table 1 and
 Figures 2-4.
DOI: 10.5061/dryad.p5hqbzkrk
title: Six-month stability of individual differences in sports coaches’ burnout, self-compassion and social support

description: Using a three-wave prospective cross-lagged panel design, the study
 examined the six-month stability of burnout, self-compassion, and social
 support among sports coaches in terms of measurement invariance,
 mean-level change, rank-order stability, and structural stability. The
 participating coaches
 (N = 422; Mage = 44.48, SD = 11.03) completed an online questionnaire measuring self-compassion, social support, coach burnout, and demographics at baseline and two follow-ups at three months and six months. The various forms of stability were assessed using structural equation modeling. There was no significant mean-level change in burnout, self-compassion, or social support, and all three constructs exhibited measurement invariance. Rank-order stability remained relatively high, ranging from 0.78 to 0.94 across the three time points. For all three constructs, covariances between latent factors were invariant over time, indicating high structural stability. While self-compassion and social support were positively related, both were negatively related to coach burnout. These results confirm the importance of preventing and addressing symptoms of burnout, low self-compassion, and poor social support in sports settings.
description: A sample of 422 sports coaches (20.7% female) was recruited in
 Switzerland through the national professional association of coaches, the
 national coach education, and the national department for youth and adult
 sport.  Participants completed online questionnaires at
 baseline (T1) and at three and six months (T2 and T3, respectively),
 answering the same set of questions at each time point. Demographic items
 (age, gender, sport, level) were recorded only at T1.
 We used longitudinal structural equation modeling, beginning with
 a longitudinal measurement model of three correlated latent factors
 (self-compassion, burnout, and social support) at the three time points
 (T1 to T3). For each of these latent variables, we used the
 item-to-construct balance technique to create parcels (i.e.,
 aggregate-level indicators based on the average of several items) as
 manifest indicators rather than using single items. 
description: Variables are
 explained in the README file.
DOI: 10.5061/dryad.9cnp5hqmh
title: A gene variation at the ZPR1 locus (rs964184) interacts with the type of diet to modulate postprandial triglycerides in patients with coronary artery disease: From the Cordioprev Study

description: Background and Aims: rs964184 variant in the ZPR1 gene has been associated
 with blood lipids levels both in fasting and postprandial state and with
 the risk of myocardialinfarction in high-risk cardiovascular patients.
 However, whether this association is modulated by diet has not been
 studied. Objective: To investigate whether the type of diet (low-fat or
 Mediterranean diets) interacts with genetic variability at this loci to
 modulate fasting and postprandial lipids incoronary patients. Materials
 and Methods: The genotype of the rs964184 polymorphism was determined in
 the Cordioprev Study population (NCT00924937). Fasting and Postprandial
 triglycerides were assessed before and after 3 years of dietary
 intervention with either a Mediterranean or a low-fat diet. Postprandial
 lipid assessment was done by a 4-h oral fat tolerance test (OFTT).
 Differences in triglycerides levels were identified using
 repeated-measures ANCOVA. Results: From 523 patients (85% males, mean age
 59 years) that completed the OFTT at baseline and after 3 years of
 intervention and had complete genotype information, 125of them were
 carriers of the risk allele G. At the start of the study, these patients
 showed a higher fasting and postprandial triglycerides (TG) plasma levels.
 After 3 years of dietaryintervention, G-carriers following a Mediterranean
 Diet maintained higher fasting and postprandial triglycerides, while those
 on the low-fat diet reduced their postprandialtriglycerides to similar
 values to the population without the G-allele. Conclusion: After 3 years
 of dietary intervention, the altered postprandial triglyceride response
 induced by genetic variability in the rs964184 polymorphism of the ZPR1
 genecan be modulated by a low-fat diet, better than by a Mediterranean
 diet, in patients with coronary artery disease.
DOI: 10.5061/dryad.hmgqnk9kg
title: Random forest modelling of multi-scale, multi-species habitat associations within KAZA transfrontier conservation area using spoor data

description: As landscape-scale conservation models grow in prominence, assessments of
 how wildlife utilise multiple-use landscapes are required to inform
 effective conservation and management planning. Such efforts should strive
 to incorporate multi-species perspectives to maximise value for
 conservation, and should account for scale to accurately capture
 species-environment relationships. We show that the random forest machine
 learning algorithm can be used to model large-scale sign-based data in a
 multi-scale framework. We used this method to investigate scale-dependent
 habitat associations for 16 mammal species of high conservation importance
 across the southern Kavango Zambezi (KAZA) Transfrontier Conservation Area
 in Botswana and Zimbabwe. Our findings revealed substantial variation in
 the factors shaping habitat use across species, and illustrate that
 different species often have divergent responses to the same environmental
 and anthropogenic factors, and differ in the scales at which they respond
 to them. For all variables across all species, scale optimisation most
 often selected our largest scale. Precipitation, soil nutrients, and
 vegetation appeared to be the most important factors determining mammal
 distributions, likely through their associations with food resources for
 herbivores and, in turn, prey availability for carnivores. Anthropogenic
 pressures also had an important influence on habitat use, with many
 species selecting against areas with high cattle density. The variety of
 relationships with human density indicated that species vary in their
 tolerance of humans. We found a consistent positive relationship with
 areas under high protection, and negative relationship with unprotected
 and less-strictly protected areas. Policy implications: This study
 highlights the importance of adopting a multi-scale, multi-species
 approach for critical decision-making processes that depend on
 understanding wildlife distributions and habitat associations, such as
 protected area, corridor, and buffer zone prioritisation. We use our
 findings to identify changing rainfall patterns and increasing livestock
 numbers as two emerging trends that may impact wildlife distributions,
 both within sub-Saharan Africa and on a global scale.