cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15493/dea.mims.05332023
title: Averaged bottom temperature and dissolved oxygen in and around the Cape Canyon

description: Bottom temperature and dissolved oxygen in and around the Cape Canyon
description: Submarine canyons are internationally reported to enhance upwelling and heterogeneity. However, in South Africa such studies remain limited and thus a knowledge gap in regional submarine canyon dynamics still exists. To address this gap, the Department of Forestry, Fisheries and the Environment: Oceans and Coasts initiated a multi-disciplinary expedition onboard the RV Algoa (March 2016-2018) where oceanographic data, amongst other datasets, was collected within a 5x5 nautical mile distance. The benthic stations were linked to the associated mean bottom temperature and dissolved oxygen profiles.
description: Profiles of temperature, salinity, and dissolved oxygen were collected throughout the water column using multiple SBE911 Conductivity-Temperature-Depth (CTD) systems over a time span of three years. In 2016, the CTD grid focused on the canyon head and surrounding areas (48 stations). This grid was extended further south during the 2017 survey, yielding data from 131 stations, while in 2018 additional transects (191 stations in total) were added in the northern part of the region. All CTD casts were taken from the surface to within 5–10m of the seafloor. Dissolved oxygen concentrations (DO) of discrete seawater samples from selected depths were determined by Winkler titrations and used to calibrate the dissolved oxygen profiles. This dataset represents only the bottom temperature, salinity, and dissolved oxygen measurements which were averaged across the cruises at overlapping stations.
DOI: 10.15493/dea.mims.26052146
title: Preprocessed Seaglider data collected during GINA 2017 by Seaglider SG574

description: Preprocessed Seaglider data collected during GINA 2017 by Seaglider SG574
description: The Gliders IN the Agulhas (GINA) project is a multi-institutional effort to implement sustained glider observations around South Africa’s coastline to enhance existing regional networks and complement larger international observations systems such as the Ocean Gliders Boundary Ocean Observing Network (BOON). Ocean gliders are robotic platforms operated and piloted from land. The Seaglider during GINA was set-up to vertically profile the water column between depths of 0 and 1000m. Measurements collected included conductivity (salinity), temperature, depth (CTD), dissolved oxygen, chlorophyll-a fluorescence (proxy for phytoplankton concentration), Photosynthetically Active Radiation (PAR) and two wavelengths of optical back-scattering by particles, Bb(470) and Bb(700) (proxies for particle concentration). In addition, information collected from the Seaglider was used to derive surface and depth averaged currents. This is preliminary processed Seaglider data collected during GINA 2017 by Seaglider SG574.
description: This data has undergone preliminary processing by the University of Washington Applied Physics Laboratory using Kongsberg’s Basestation software for Seagliders and has not been subjected to further quality control, such as sensor lag correction or outliers removals.
DOI: 10.15468/dl.hffv9b
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anguilla megastoma)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 18 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024857-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28870313
title: Ramariopsis coronata alignment

description: Concatenated dataset of the 5.8S-28S-18S-<i>RPB1-RPB2-TEF1</i>-regions of the <i>Clavariales</i>
DOI: 10.6084/m9.figshare.28870313.v1
title: Ramariopsis coronata alignment

description: Concatenated dataset of the 5.8S-28S-18S-<i>RPB1-RPB2-TEF1</i>-regions of the <i>Clavariales</i>
DOI: 10.15468/dl.72z5n3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON Z ((-43.352417243 -19.851877345 0, -43.352447574 -19.851963538 0, -43.352466998 -19.852061284 0, -43.352481049 -19.852170725 0, -43.352482 -19.85218031 0, -43.352474938 -19.852494445 0, -43.352160425 -19.852578445 0, -43.352241137 -19.852418025 0, -43.35218905 -19.85221952 0, -43.35222553 -19.852098621 0, -43.352139825 -19.851799438 0, -43.352047667 -19.851579603 0, -43.351849062 -19.851358784 0, -43.351416305 -19.850994148 0, -43.351247626 -19.850057846 0, -43.351031717 -19.849469817 0, -43.350798155 -19.848649995 0, -43.350774353 -19.84819067 0, -43.350899633 -19.847394312 0, -43.351005236 -19.846986954 0, -43.350909176 -19.846683067 0, -43.351074357 -19.846340131 0, -43.351278989 -19.846189349 0, -43.351505581 -19.845816445 0, -43.351973737 -19.845109168 0, -43.352617768 -19.844076215 0, -43.352919514 -19.84358087 0, -43.353136567 -19.843160176 0, -43.35329803 -19.842973128 0, -43.353412019 -19.842742189 0, -43.353318658 -19.842481962 0, -43.353182934 -19.842302378 0, -43.353049575 -19.842106465 0, -43.353023609 -19.841856346 0, -43.352954777 -19.841606102 0, -43.352912626 -19.840879473 0, -43.35304188 -19.840510636 0, -43.353129545 -19.840526984 0, -43.353687968 -19.840729531 0, -43.353662093 -19.840775998 0, -43.35361813 -19.840947147 0, -43.35349652 -19.841343338 0, -43.353407149 -19.841603504 0, -43.353395416 -19.841685875 0, -43.353405996 -19.841743068 0, -43.353364523 -19.841857958 0, -43.353359802 -19.841926844 0, -43.353403166 -19.842082357 0, -43.353530975 -19.842520239 0, -43.353672743 -19.843058164 0, -43.353731793 -19.843257276 0, -43.353725971 -19.843470062 0, -43.3536759 -19.843714962 0, -43.353610084 -19.843885006 0, -43.353535933 -19.84401161 0, -43.353483594 -19.844087554 0, -43.353140065 -19.844403822 0, -43.352822156 -19.844698284 0, -43.35246045 -19.845054855 0, -43.352372142 -19.845202377 0, -43.352127988 -19.845602764 0, -43.351904499 -19.846017344 0, -43.351738724 -19.846371839 0, -43.351602123 -19.846693179 0, -43.351498444 -19.846988443 0, -43.351464762 -19.847217594 0, -43.351453084 -19.847618051 0, -43.351420315 -19.848008376 0, -43.351331529 -19.84838671 0, -43.351252433 -19.848566477 0, -43.351138681 -19.848718189 0, -43.351078706 -19.848867688 0, -43.351092296 -19.849030876 0, -43.351131838 -19.849121852 0, -43.351232255 -19.849235073 0, -43.351316252 -19.849496118 0, -43.351456222 -19.849958143 0, -43.351665068 -19.850481423 0, -43.351933282 -19.850969568 0, -43.352106145 -19.851334782 0, -43.352367884 -19.851775257 0, -43.352417243 -19.851877345 0))",
 "HasGeospatialIssue is False"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001649-250424135625364/datasets/export for details.
DOI: 10.15468/dl.t8u8xq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Chlorocebus sabaeus (Linnaeus, 1766))",
 "Geometry POLYGON ((23.79103 35.54659, 23.78194 35.56444, 23.77222 35.61333, 23.77177 35.66121, 23.74187 35.68632, 23.71076 35.6525, 23.71139 35.60416, 23.72861 35.56894, 23.73195 35.5461, 23.71895 35.50888, 23.65548 35.49798, 23.61541 35.52306, 23.61 35.5675, 23.60854 35.60874, 23.59389 35.59222, 23.5832 35.57111, 23.56916 35.52666, 23.52056 35.295, 23.59424 35.23222, 23.68194 35.22444, 23.69833 35.23236, 23.8218 35.24653, 23.89028 35.23389, 23.94666 35.22111, 24.03569 35.19284, 24.06194 35.19041, 24.10083 35.19778, 24.13972 35.19972, 24.19445 35.20027, 24.3925 35.18889, 24.53111 35.13916, 24.54777 35.11943, 24.56319 35.10069, 24.58861 35.09693, 24.63861 35.09528, 24.68875 35.09569, 24.72305 35.09055, 24.74208 35.07375, 24.75763 35.03985, 24.76277 35.01582, 24.75431 34.94625, 24.82111 34.93749, 24.92806 34.93055, 25.01695 34.93084, 25.18806 34.95222, 25.33528 34.98499, 25.50889 34.98166, 25.55785 34.99402, 25.59139 35.00777, 25.9875 35.03306, 26.10041 35.00378, 26.13584 34.99729, 26.20555 35.02167, 26.23972 35.03667, 26.275 35.08749, 26.29056 35.1311, 26.30111 35.28305, 26.21778 35.24055, 26.11194 35.20527, 26.09305 35.21667, 26.03097 35.22493, 25.89611 35.17694, 25.86695 35.15222, 25.81235 35.11152, 25.78403 35.11389, 25.75667 35.12639, 25.72806 35.14193, 25.7175 35.15917, 25.71055 35.17278, 25.71777 35.21695, 25.73931 35.23187, 25.7503 35.27022, 25.72864 35.26162, 25.7343 35.29993, 25.76573 35.32996, 25.66042 35.3425, 25.61806 35.33333, 25.56445 35.3186, 25.49111 35.29861, 25.4543 35.29208, 25.43 35.29445, 25.40083 35.31153, 25.37951 35.33388, 25.3025 35.33555, 25.28056 35.33388, 25.20139 35.33444, 25.05437 35.35027, 25.0457 35.37923, 24.96334 35.40444, 24.78889 35.40888, 24.62375 35.39598, 24.59645 35.38298, 24.49042 35.36569, 24.46472 35.36194, 24.35708 35.35235, 24.32708 35.35138, 24.27229 35.36388, 24.17903 35.45235, 24.10707 35.49222, 24.13466 35.50036, 24.16569 35.50153, 24.18556 35.50917, 24.20492 35.53986, 24.17639 35.58888, 24.12437 35.60048, 24.08048 35.57655, 24.07056 35.5493, 24.04077 35.52963, 23.99556 35.51555, 23.97138 35.51472, 23.84853 35.52298, 23.79103 35.54659))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007350-250525065834625/datasets/export for details.
DOI: 10.15468/dl.xn779u
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016209-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.n2z34tmxw
title: An evaluation of fusion partner proteins for paratransgenesis in Asaia bogorensis

description: Mosquitoes transmit many pathogens responsible for human disease, such as
 malaria which is caused by parasites in the genus Plasmodium. Current
 strategies to control vector-transmitted diseases are increasingly
 undermined by mosquito and pathogen resistance, so additional methods of
 control are required. Paratransgenesis is a method whereby symbiotic
 bacteria are genetically modified to affect the mosquito’s phenotype by
 engineering them to deliver effector molecules into the midgut to kill
 parasites. One paratransgenesis candidate is Asaia bogorensis, a
 Gram-negative bacterium colonizing the midgut, ovaries, and salivary
 glands of Anopheles sp. mosquitoes. Previously, engineered Asaia strains
 using native signals to drive the release of the antimicrobial peptide,
 scorpine, fused to alkaline phosphatase were successful in significantly
 suppressing the number of oocysts formed after a blood meal containing P.
 berghei. However, these strains saw high fitness costs associated with the
 production of the recombinant protein. Here, we report evaluation of five
 different partner proteins fused to scorpine that we evaluated for effects
 on the growth and fitness of the transgenic bacteria.  Three of
 the new partner proteins resulted in significant levels of protein
 released from the Asaia bacterium while also significantly reducing the
 prevalence of mosquitoes infected with P. berghei. Two partners performed
 as well as the previously tested Asaia strain that used alkaline
 phosphatase in the fitness analyses. We interpret these results to
 indicate that there is a maximum level of fitness and parasite inhibition
 that can be achieved with scorpine being driven constitutively, and that
 use of a Plasmodium specific effector molecule in place of scorpine would
 help to mitigate the stress on the symbionts.
DOI: 10.15468/dl.b2kbc9
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nageia fleuryi"
 ]
}

 The dataset includes 155 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002961-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.hhmgqnkhp
title: Frankliniella fusca activity patterns in wheat

description: Tobacco thrips (Frankliniella fusca Hinds) are an important seedling pest
 of many agricultural crops including, but not limited to cotton, tomato,
 and tobacco. This insect is mobile and completes several generations on
 both crop and non-crop plants each growing season in the southern United
 States. We do know that this insect disperses through a predictable
 sequence of these habitats each spring, however, it is not well known how
 abundant early season host crops affect population development at a
 landscape scale. To better understand how spring crops influence tobacco
 thrips populations, we conducted a study of tobacco thrips activity in a
 key early host, winter wheat (Triticum aestivum L.). To do this, we
 measured larval and adult thrips abundance in 69 wheat fields across 5
 North Carolina counties in 2019 and 2020. We first sampled wheat heads
 weekly to measure how many larvae were present in the crop over
 approximately 10 weeks before the wheat senesced and harvest occurred. At
 the same time, we measured the number of tobacco thrips dispersing from
 the crop into the surrounding landscape using yellow sticky cards placed
 along the wheat field edge. We linked these responses to both landscape
 and weather factors to describe variation in abundance. We also directly
 related the abundance of larvae found in wheat heads at different crop
 maturity stages to the number of adult thrips leaving the field. We found
 that larval counts during the milk and dough stage of wheat maturation
 related to the adult dispersal patterns two weeks later. This data
 provides a useful assessment for crop phenology driven dispersal for an
 economically important pest species in the southern United States.
description: The data includes immature thrips samples collected from grain
 heads and adult <em>F. fusca </em>counts collected from yellow
 sticky cards located on the perimeter of the field. This data is a time
 series that monitored these two response variables in relation to commonly
 accepted wheat phenology scales (Zadocks). Spatial coordinates are in
 WGS-1984.
description: Missing values are included as periods.
DOI: 10.5061/dryad.h9w0vt4jn
title: Effects of climate on bill morphology within and across Toxostoma thrashers

description: Bird bills possess an important thermoregulatory function as they are a
 site for environmental heat exchange. Previous studies have demonstrated
 that birds in warmer climates have larger bills than those living in
 colder climates, as larger bills can dissipate more heat. Because this dry
 heat transfer does not incur water loss, it may be additionally
 advantageous in water-restricted habitats. Here, we examine the influence
 of climate on bill morphology in Toxostoma thrashers, a group of 10 North
 American species that vary in bill morphology and occupied climate niche,
 with several species inhabiting arid climates. Past examinations of
 thrasher bill morphology have only considered foraging, leaving unanswered
 the role of climate in morphological divergence within this group. We
 photographed 476 Toxostoma museum specimens encompassing all 10 species,
 and calculated bill measurements from the photos using a MATLAB-based
 program. For each species, we calculated occupied climate niche using data
 from WorldClim describing temperature and precipitation. We found no
 reliable significant relationships between climate variables and bill
 morphology across species, suggesting that other factors such as foraging
 behavior may be more important in shaping bill morphology in this genus.
 Within species, we found three Toxostoma species have significant
 relationships between bill morphology and climate that follow Allen’s
 Rule. However, we also found the relationships between climate and bill
 morphology varied in strength and direction across species. Notably, we
 found a negative relationship between maximum temperature of the hottest
 month and bill surface area in LeConte’s Thrasher, which occupies the
 hottest and most arid climates of the thrashers. This adds to the evidence
 that Allen’s Rule may reverse in extremely hot climates when the bill may
 become a heat sink instead of a heat radiator. These results demonstrate
 the importance of considering the generality of ecogeographical rules
 across lineages that occupy extreme climates.
DOI: 10.21979/n9/smrbxh
title: Related data for: Quantifying uncertainties in tropical cyclone wind hazard assessment due to synthetic track stochastic variability for Southeast Asia

description: This data set contains the rate-adjusted STORM event sets and 100-year return period gust wind hazard maps related to the paper: Jian, W., Lo, E.Y-M., Stojanovski, P., & Pan, T-C. (2023). Quantifying uncertainties in tropical cyclone wind hazard assessment due to synthetic track stochastic variability for Southeast Asia. Weather and Climate Extremes. https://doi.org/10.1016/j.wace.2023.100599
DOI: 10.5281/zenodo.18398817
title: Preregistered Studies Related to Extra-Sensory Perception and Mind-Matter Interaction

description: Materials and data related to the study: "Outcomes of Preregistered Studies Related to Extra-Sensory Perception, and Mind-Matter Interaction: A Systematic Review".
DOI: 10.5061/dryad.jdfn2z3c1
title: Permafrost response to temperature rise in carbon and nutrient cycling: Effects from habitat-specific conditions and factors of warming

description: Permafrost is warming at a rate of two times faster than the rest of the
 Earth’s surface. However, there is still a lack of a quantitative basis
 for predicting the functional stability of permafrost ecosystems in carbon
 (C) and nutrient cycling. We compiled the data of 708 observations from 89
 air-warming experiments in the Northern Hemisphere and characterized the
 general effects of temperature increase on permafrost C exchange and
 balance, biomass production, microbial biomass, soil nutrients, and
 vegetation N dynamics via a meta-analysis. Also, an investigation was made
 on how responses may change with habitat-specific (e.g., plant functional
 groups and soil moisture status) conditions and warming variables (e.g.,
 warming phases, levels, and timing). Warming downregulated net ecosystem C
 exchange generally via stimulating ecosystem respiration (15.6%) more than
 photosynthesis (6.2%). Vegetation usually responded to warming by
 investing more the C to the belowground, as belowground biomass increased
 much more (30.1%) than aboveground biomass (2.9%). Warming had a minor
 effect on microbial biomass. Warming increased soil ammonium and nitrate
 concentrations. What's more, a synthesis of 70 observations from 11
 herbs and 9 shrubs revealed a 2.5% decline of N in green leaves. Compared
 to herbs, shrubs demonstrated a stronger response in respiration and had
 green leaf N declined by a greater extent. Not only in dry conditions did
 green leaf N decline with warming but also in wet conditions. Warming in
 non-growing seasons would negatively affect soil water, C uptake, and
 biomass production during growing seasons. Permafrost C loss and
 vegetation N decline may increase with warming levels and timing. Overall,
 our findings suggest that besides a positive C cycling-climate feedback,
 there will be negative feedback between permafrost nutrient cycling and
 climate warming.
DOI: 10.5061/dryad.cz8w9gj4h
title: Plant herbivore interactions: Combined effect of ground water level, root vole grazing and sedge silicification

description: 1. Accumulation of silica (Si) by plants can driven by (1) herbivore
 pressure (and therefore, plant-herbivore interactions) (2)
 geo-hydrological cycles or (3) a combination of (1) and (2), with (1-3)
 possibly affecting Si concentration with a 1-year delay. 2. To identify
 the relative significance of (1-3) we analysed the concentration of Si in
 fibrous tussock sedge (Carex appropinquata), the population density of the
 root vole (Microtus oeconomus) and the ground water level, over 11 years.
 3. The largest influence of autumn Si concentration in leaves (Sileaf) was
 the level of the current year’s ground water table, which was positive and
 accounted for 13.3% of its variance. The previous year’s vole population
 density was weakly positively correlated with Sileaf and alone explained
 9.5% of its variance. 4. The only variable found to have a positive,
 significant effect on autumn Si concentration in rhizomes (Sirhiz) was the
 current year spring water level explaining as much as 60.9% of its
 variance. 5. We conclude that the changes in Si concentration in fibrous
 tussock sedge are predominantly driven by hydrology, with vole population
 dynamics being secondary. 6. Our results provide only partial support for
 the existence of plant-herbivore interactions, as we did not detect the
 significant effects of Si tussock concentration on the vole density
 dynamics. This was mainly due to low level of silification of sedges,
 which was insufficient to impinge herbivores. 7. Future studies on
 plant-herbivore interactions should therefore aim at disentangling whether
 anti-herbivore protection is dependent on threshold values of herbivore
 population dynamics. Furthermore, studies on Si accumulation should focus
 on the effect of water-mediated Si availability.
description: <strong>Appendix
 S1</strong> Raw data for the model depicted
 in Figure 1, Figure 2 and Tables 1- 3.