cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6078/d18m4g
title: Data from: Occupant satisfaction with the indoor environment in seven commercial buildings in Singapore

description: We surveyed seven Green Mark certified air-conditioned commercial
 buildings (666 responses) in Singapore about their satisfaction with the
 indoor environment. We used a 7-point scale to evaluate subjects'
 satisfaction with 18 Indoor Environmental Quality (IEQ) parameters. We
 also asked follow up questions on the reason(s) of dissatisfaction. We
 found that occupants were most satisfied with dress code (85 %
 satisfaction), electrical light (84 %) and cleanliness (81 %), while they
 were most dissatisfied with sound privacy (40% dissatisfaction), personal
 control (29%) and temperature (29%). Nevertheless, about 78 % of the
 participants expressed satisfaction with their overall workspace
 environment. Our results indicate achieving a high occupant satisfaction
 for some IEQ factors is harder than others. We determined that the major
 contributors to thermal dissatisfaction were insufficient air movement and
 overcooled workspace. Occupants in open plan office were unhappy with the
 noise produced by their nearby colleagues. We identified satisfaction with
 cleanliness was the most significant IEQ factor that contribute to overall
 workspace environment satisfaction. In addition, applying principle
 component analysis, we found that new components that integrated by
 multiple less significant IEQ factors could also initiate substantial
 impact to overall workspace satisfaction,including Air, Acoustics, Layout
 and the Thermal environment. IEQ satisfaction targets rating system in
 Green Mark (Singapore green building standard) could be improved by
 evaluating the actual occupant satisfaction responses from a large
 database to achieve reliability and representativeness. These results can
 be included for further development of an IEQ benchmarks for commercial
 buildings in Singapore.
DOI: 10.5281/zenodo.11433399
title: DIVINE: Andalusia Agroclimatic Information Network Historic Datasets - SEVILLA - (June 23 - May 24)

description: This dataset contains high-resolution daily agroclimatic data from the RIA (Red de Información Agroclimática de Andalucía) the andalusian agroclimatic information network, managed by IFAPA. The data has been collected as part of the DIVINE project to support research in precision agriculture, water management, and climate adaptation in Southern Spain.

The dataset covers the period from June 1, 2023, to May 31, 2024, providing key parameters such as temperature (mean, max, min), humidity, wind speed, solar radiation, precipitation, and calculated ETo (Evapotranspiration) using the Penman-Monteith method.

Geographic Coverage and Station Distribution: The dataset includes part of the processed records from 123 monitoring stations distributed across the 8 provinces of Andalusia. In this case the data includes the ones in Sevilla:

Data Format:





Format: JSON (JavaScript Object Notation).




Naming Convention: 34 [Province_ID] [Station_ID] DIVINE [Station_Name] ([Province]).json




Coordinate System: WGS84 (included within the metadata of individual station files).



Source: Data retrieved from the official IFAPA RIAWS API (Junta de Andalucía).
DOI: 10.5281/zenodo.11433398
title: DIVINE: Andalusia Agroclimatic Information Network Historic Datasets - SEVILLA - (June 23 - May 24)

description: This dataset contains high-resolution daily agroclimatic data from the RIA (Red de Información Agroclimática de Andalucía) the andalusian agroclimatic information network, managed by IFAPA. The data has been collected as part of the DIVINE project to support research in precision agriculture, water management, and climate adaptation in Southern Spain.

The dataset covers the period from June 1, 2023, to May 31, 2024, providing key parameters such as temperature (mean, max, min), humidity, wind speed, solar radiation, precipitation, and calculated ETo (Evapotranspiration) using the Penman-Monteith method.

Geographic Coverage and Station Distribution: The dataset includes part of the processed records from 123 monitoring stations distributed across the 8 provinces of Andalusia. In this case the data includes the ones in Sevilla:

Data Format:





Format: JSON (JavaScript Object Notation).




Naming Convention: 34 [Province_ID] [Station_ID] DIVINE [Station_Name] ([Province]).json




Coordinate System: WGS84 (included within the metadata of individual station files).



Source: Data retrieved from the official IFAPA RIAWS API (Junta de Andalucía).
DOI: 10.5061/dryad.6q573n5wn
title: Data from: Neural dysfunction correlates with heat coma and CTmax in Drosophila but does not set the boundaries for heat stress survival

description: When heated, insects lose coordinated movement followed by the onset of
 heat coma (critical thermal maximum, CTmax). These traits are popular
 measures to quantify interspecific and intraspecific differences in insect
 heat tolerance, and CTmax correlates well with current species
 distributions of insects, including Drosophila. Here, we examined the
 function of the central nervous system (CNS) in five species of Drosophila
 with different heat tolerances, while they were exposed to either constant
 high  temperature or a gradually increasing temperature (ramp).
 Tolerant species were able to preserve CNS function at higher temperatures
 and for longer durations than sensitive species, and similar differences
 were found for the behavioural indices (loss of coordination and onset of
 heat coma). Furthermore, the timing and temperature (constant
 and  ramp exposure, respectively) for loss of coordination or
 complete coma coincided with the occurrence of spreading depolarisation
 (SD) events in the CNS. These SD events  disrupt neurological
 function and silence the CNS, suggesting that CNS failure is the primary
 cause of impaired coordination and heat coma. Heat mortality occurs soon
 after heat coma in insects; to examine whether CNS failure could also be
 the proximal cause of heat death, we used selective heating of the head
 (CNS) and abdomen (visceral  tissues). When comparing the
 temperature causing 50% mortality (LT50) of each body part versus that of
 the whole animal, we found that the head was not particularly heat
 sensitive compared with the abdomen. Accordingly, it is unlikely that
 nervous failure is the principal/proximate cause of heat mortality in
 Drosophila.
DOI: 10.5061/dryad.tb2rbnzxp
title: Data from: Variation in thermal traits describing sex determination and development in Western Australian sea turtle populations

description: Both the development rate and sex of sea turtle embryos depend on
 incubation temperature, as all species are ectotherms and show
 temperature-dependent sex determination (TSD). Theory predicts that
 selection should act on populations to optimise developmental times and
 primary sex ratios. In this study, we use a consistent methodology to
 measure development rates and model the reaction norm that defines TSD in
 three populations of flatback turtles (Natator depressus) and two
 populations of green turtles (Chelonia mydas) that nest in Western
 Australia. We show that development rates vary between and within species,
 likely reflecting adaptation to local beach microclimates. Similarly, the
 parameters that define the TSD reaction norm vary between the two species,
 and among N. depressus populations, with pivotal temperatures (TPIV)
 varying by 1.5 °C (29.6 – 31.1 °C), and the transitional ranges of
 temperatures (TRT) varying by 1.4 – 3.3 °C. In contrast, we found a
 similar TPIV for the two C. mydas populations, but a wider TRT at the
 northernmost tropical rookery. Our findings support the view that thermal
 parameters in geographically-separated populations of sea turtles are
 broadly similar, but the variation we describe will be highly relevant for
 predicting how populations will respond to climate change.
DOI: 10.5061/dryad.59zw3r24w
title: Analysing indoor mycobiomes through a large‐scale citizen science study in Norway

description: In the built environment, fungi can cause important deterioration of
 building materials and adverse health effects for the occupants. Increased
 knowledge about indoor mycobiomes from different regions of the world, and
 their main environmental determinants, will enable improved indoor air
 quality management and identification of health risks. This is the first
 citizen science study about indoor mycobiomes at a large geographical
 scale in Europe, including 271 houses from Norway and 807 dust samples
 from three house compartments: outside of the building, living room and
 bathroom. The fungal community composition determined by DNA metabarcoding
 was clearly different between indoor and outdoor samples, but there were
 no significant differences between the two indoor compartments. The 32
 selected variables, related to the outdoor environment, building features
 and occupant characteristics, accounted for 15% of the overall variation
 in community composition, with the house compartment as the key factor
 (7.6%). Next, the climate was the main driver of the dust mycobiomes
 (4.2%), while building and occupant variables had significant but minor
 influences (1.4% and 1.1%, respectively). The house-dust mycobiomes were
 dominated by ascomycetes (⁓70%) with Capnodiales and Eurotiales as the
 most abundant orders. Compared to the outdoor samples, the indoor
 mycobiomes showed higher species richness, which is probably due to the
 mixture of fungi from outdoor and indoor sources. The main indoor
 indicator fungi belonged to two ecological groups with allergenic
 potential: xerophilic molds and skin-associated yeasts. Our results
 suggest that citizen science is a successful approach for unraveling the
 built microbiome at large geographical scales.
description: ITS2 metabarcoding data using the primers gITS7 and
 ITS4.<br>A total of 863 samples in 9 libraries (96 unique barcodes).
 The quality-filtered dataset corresponds to 807 dust samples from 271
 houses. Sequencing was carried out at Fasteris SA
 (Plan-les-Ouates, Switzerland) using 3 full Illumina 250 bases paired-end
 MiSeq v3 runs (3 libraries per run).
description: Raw sequences (fastq files) of this study are available on ENA at
 EMBL-EBI under accession number
 PRJEB42161 (https://www.ebi.ac.uk/ena/browser/view/PRJEB42161). Accession
 numbers for the nine libraries correspond to the BioSamples SAMEA7740226 -
 SAMEA7740234. The HouseDustMyco dataset includes all
 revevant files and scripts to reproduce the bioinformatics and statistical
 analyses of this study, as well as the ReadMe file
 ("README_HouseDustMyco") that explains all contents of this
 dataset.
DOI: 10.5061/dryad.6t1g1jwwn
title: Disentangling temporal food web dynamics facilitates understanding of ecosystem functioning

description: Studying how food web structure and function varies through time
 represents an opportunity to better comprehend and anticipate ecosystem
 changes. Yet, temporal studies of highly resolved food web structure are
 scarce. With few exceptions, most temporal food web studies are either too
 simplified, preventing a detailed assessment of structural properties, or
 binary, missing the temporal dynamics of energy fluxes among species.
 Using long-term, multi-trophic biomass data coupled with highly resolved
 information on species feeding relationships, we analyzed food web
 dynamics in the Gulf of Riga (Baltic Sea) over more than three decades
 (1981-2014). We combined unweighted (topology-based) and weighted
 (biomass- and flux-based) food web approaches, first, to unravel how
 distinct descriptors can highlight differences (or similarities) in food
 web dynamics through time, and second, to compare temporal dynamics of
 food web structure and function. We find that food web descriptors vary
 substantially and distinctively through time, likely reflecting different
 underlying ecosystem processes. While node- and link-weighted metrics
 reflect changes related to alterations in species dominance and fluxes,
 unweighted metrics are more sensitive to changes in species and link
 richness. Comparing unweighted, topology-based metrics and flux-based
 functions further indicates that temporal changes in functions cannot be
 predicted using unweighted food web structure. Rather, information on
 species population dynamics and weighted, flux-based networks should be
 included to better comprehend temporal food web dynamics. By integrating
 unweighted, node- and link-weighted metrics, we here demonstrate how
 different approaches can be used to compare food web structure and
 function, and identify complementary patterns of change in temporal food
 web dynamics, which enables a more complete understanding of the
 ecological processes at play in ecosystems undergoing change.
description: The Excel file contains: 1. species list; 2. food web; 3. food
 web reference list, 4. fluxweb parameter values, 5. body masses with
 references The trophic interactions among the
 subsampled taxa in the Gulf of Riga food web metaweb were compiled via an
 extensive literature review on species gut content analyses, primarily
 from the Baltic Sea. The fluxweb parameter values were
 used to compute the energy fluxes among species using the
 "fluxweb" R package. Body mass estimates for fish, benthos, and
 phytoplankton are specific for Gulf of Riga communities and derived from
 local biomonitoring data, whereas zooplankton body mass estimates come
 from other areas of the Baltic Sea. An R tutorial to
 perform the unweighted and weighted food web analyses on the Gulf of Riga
 metaweb is available through GitHub  https://rfrelat.github.io/BalticFoodWeb.html
DOI: 10.5061/dryad.q83bk3jfw
title: US Pacific Northwest bread wheat variety acreages 1919 to 2011

description: This dataset has common wheat variety acreage data for the three U.S.
 Pacific Northwest states of Idaho, Oregon, and Washington from 1919 to
 2011. The variety acreage data were compiled from the five-yearly
 Distribution of the Varieties and Classes of Wehat in the United States
 reports and the data provided by the USDA National Agricultural Statistics
 Services. Acreages of only named varieties have been included, i.e.,
 acreage reported under undefined names such as "others" have
 been excluded. Acreages of variety mixtures, when reported in the orignal
 sources, were evenly split to the component varieties.
description: The variety acreage data from 1919 to 1984 were obtained from the
 five-yearly <em>Distribution of the Varieties and Classes of Wheat
 in the United States </em>reports. Variety acreage data after 1984
 were requested from the USDA National Agricultural Statistics Services.
 Acreages of only named varieties have been included, while acreages given
 under the category of "others" have not been included. Hence the
 total yearly acreages in this dataset can be less than the total in the
 original reports. Reports after 1985 also included
 acreages of mixtures. In these cases, the acreages were equally divided
 into component varieties. For example, if Breuhl-Coda mixture had 2000
 acres, 1000 acres each were added to Breuhl and Coda and the entry of
 Breuhl-Coda was removed to keep the total constant. The
 acreages under the state named "PNW" is sum of the acreages of
 the three states: Idaho, Oregon, and Washington.
 Whether a variety is privately-bred or publicly-bred was
 determined by checking information on the ARS-GRIN database, plant variety
 protection records and the Washington State Crop Improvement
 Association's website.
description: The data is a CSV (comma-separated values) file organized in tidy
 (long) format for analysis in R. Missing data is indicated by
 NA. The data has 7 columns, which are described
 below: Cultivar: Name of the wheat culitvar
 Class: Market class of the wheat cultivar. Nine levels: HRS =
 hard red spring, HRW = hard red winter, SRW = soft red winter, SWS = soft
 white spring including SWS club wheat, SWW = soft white winter including
 SWW club wheat, HWS = hard white spring, xWS = unknown hardness white
 spring, HWW = hard white winter, WW = unknown hardness white
 winter Habit: Growth habit of the cultivars, either
 spring (spring-sown) or winter (fall-sown) State: State
 for which the acreage data refers to. PNW is sum of Idaho, Oregon, and
 Washington Year: Year of acreage data
 Acres: Acres grown to the variety in a given year and
 state Sector: Whether the variety is bred by private or
 public sector. Old farmer-bred or farmer-selected varieties have also been
 classified as public sector varieties.
DOI: 10.5061/dryad.msbcc2fvz
title: Data from: Characterising bird-keeping user-groups on Java reveals distinct behaviours, profiles and potential for change

description: 1. Over 70 million cage-birds are kept across 12 million households on the
 island of Java, Indonesia, fuelling serious concerns for the health of
 regional wild bird populations. Understanding the behaviours, preferences
 and demographic profiles of bird-keepers will guide attempts to reduce
 demand for wild birds and hence the impact of trade on wild populations
 and their host ecosystems. 2. We profile three songbird-keeping
 user-groups based on interviews of nearly one thousand people across Java:
 Hobbyists, who own birds primarily as pets; Contestants, who own birds to
 enter in singing contests; and Breeders, who own birds to breed and train
 for resale or as a pastime. 3. User-groups diverged in their bird-keeping
 habits and preferences. Hobbyists tended to own small numbers of
 inexpensive and typically native birds, while contestants and breeders
 owned larger numbers of often valuable birds. Hobbyists were far less
 likely to consider origin when buying a bird, owned a larger proportion of
 both potentially wild-caught and globally threatened birds, but showed no
 preference for any taxon. By contrast, owning relatively large numbers of
 lovebirds (Agapornis spp.) and Zebra Doves (Geopelia striata) were key
 characteristics of contestants, while breeders owned the largest number of
 birds and species, in particular White-rumped Shamas (Kittacincla
 malabarica). Within a two-year period, user-group membership was fluid,
 with much transitioning between non-bird ownership and hobbyists,
 recruitment of non-bird owners to contestants, and movement both in and
 out of the breeder group. 4. Our study provides behavioural change efforts
 with demographic and geographic profiles to target bird-keepers, who
 tended to be more affluent, urban and live in the eastern provinces. Among
 bird-keepers, hobbyists tended to be middle-aged and live in the western
 provinces, contestants were younger urban bird-keepers employed in
 business, and breeders were commoner in the eastern provinces, reflecting
 the cultural importance of bird-keeping among the Javanese. 5. Efforts to
 increase the sustainability of bird-keeping in Java should focus on
 emphasising the importance of captive-bred birds, in particular to
 hobbyists, the largest user-group, whose bird-keeping behaviour poses the
 biggest threat to wild bird populations, whilst also incentivising
 legitimate breeding enterprises among contestants and breeders.
DOI: 10.6078/d14x4b
title: Data from: Mean annual temperature influences local fine root proliferation in tropical montane wet forest

description: Mean annual temperature (MAT) is an influential climate factor affecting
 the bioavailability of growth-limiting nutrients nitrogen (N) and
 phosphorus (P). In tropical montane wet forests, warmer MAT drives higher
 N bioavailability, while patterns of P availability are inconsistent
 across MAT. Two important nutrient acquisition strategies, fine root
 proliferation into bulk soil and root association with arbuscular
 mycorrhizal fungi, are dependent on C availability to the plant via
 primary production. The case study presented here tests whether variation
 in bulk soil N bioavailability across a tropical montane wet forest
 elevation gradient (5.2°C MAT range) influences 1) morphology fine root
 proliferation into soil patches with elevated N, P, and N+P relative to
 background soil and 2) arbuscular mycorrhizal fungal (AMF) colonization of
 fine roots in patches. We created a fully factorial fertilized root
 ingrowth core design (N, P, N+P, unfertilized control) representing soil
 patches with elevated N and P bioavailability relative to background bulk
 soil. Our results show that percent AMF colonization of roots increased
 with MAT (r2=0.19, P=0.004), but did not respond to fertilization
 treatments. Fine root length (FRL), a proxy for root foraging, increased
 with MAT in N+P fertilized patches only (P=0.02), while other fine root
 morphological parameters did not respond to the gradient or fertilized
 patches. We conclude that in N-rich, fine root elongation into areas with
 elevated N and P declines while AMF abundance increases with MAT. These
 results indicate a tradeoff between P acquisition strategies occurring
 with changing N bioavailability, which may be influenced by higher C
 availability with warmer MAT.
description: Hawaii Root Ingrowth Core Data 2017.
DOI: 10.5061/dryad.nzs7h44pb
title: Nitrogen enrichment buffers phosphorus limitation by mobilizing mineral-bound soil phosphorus in grasslands

description: Phosphorus (P) limitation is expected to increase due to nitrogen
 (N)-induced terrestrial eutrophication, although most soils contain large
 P pools immobilized in minerals (Pi) and organic matter (Po). Here we
 assessed whether transformations of these P pools can increase plant
 available pools alleviating P limitation under enhanced N availability.
 The mechanisms underlying these possible transformations were explored by
 combining results from a 10-year field N-addition experiment and a 3700-km
 transect covering wide ranges in soil pH, soil N, aridity, leaching, and
 weathering that can affect soil P status in grasslands. Nitrogen addition
 promoted dissolution of immobile Pi (mainly Ca-bound recalcitrant P) to
 more available forms of Pi (including Al- and Fe-bound P fractions and
 Olsen P) by decreasing soil pH from 7.6 to 4.7, but did not affect Po.
 Soil total P declined by 10% from 385±6.8 to 346±9.5 mg kg-1, while
 available-P increased by 546% from 3.5±0.3 to 22.6±2.4 mg kg-1 after
 10-year N addition, associated with an increase in Pi mobilization, plant
 uptake, and leaching. Similar to the N-addition experiment, the drop in
 soil pH from 7.5 to 5.6 and increase in soil N concentration along the
 grassland transect were associated with an increased ratio between
 relatively mobile Pi and immobile Pi. Our results provide a new
 mechanistic understanding of the important role of soil Pi mobilization in
 maintaining plant P supply and accelerating biogeochemical P cycles under
 anthropogenic N enrichment. This mobilization process temporarily buffers
 ecosystem P-limitation or even causes P eutrophication but will
 extensively deplete soil P pools in the long run.
DOI: 10.5061/dryad.p5hqbzkmq
title: Results of high-performance computing parameter sweeps associated with the Zimbabwe agro-pastoral management model

description: This dataset includes all the results of the model runs used to explore
 the parameters in the Zimbabwe Agro-Pastoral Management Model, archived at
 ComSES.net (https://doi.org/10.25937/ta23-sn46). This model has been
 created with and for the researcher-farmers of the Muonde Trust
 (http://www.muonde.org/), a registered Zimbabwean non-governmental
 organization dedicated to fostering Indigenous innovation.  The
 results in this dataset were generated using the BehaviorSpace
 functionality in NetLogo, running headless on a high-performance computing
 cluster (499,200 runs). The dataset includes model output variables
 summarized for each model run as well as input values for management
 variables, underlying parameters, and rainfall models for those runs. A
 detailed description of the model and its variables (including units of
 measurement where applicable) is available in Eitzel et al. (2020) at DOI:
 10.1371/journal.pone.0237638 and in the Overview, Design, and Details
 documentation on CoMSES.net.
description: See readme.