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Fig S1: PCA plot indicating the distance and dissimilarity among 46 Asian populations based on 15 autosomal STR data.
<p>Supplementary file related with submission in Genes.</p> <p><strong>Evaluation of the gene flow from East to West among various populations of Rajasthan, India</strong></p> <p>R. K. Kumawat<sup>1, 2#</sup>,<sup> </sup>Pankaj Shrivastava<sup>3</sup>*<sup>#</sup>, Shivani Dixit<sup>3,</sup> Divya Shrivastava<sup>1</sup>, G.K. Mathur<sup> 2 </sup>and Gyaneshwer Chaubey<sup>4</sup></p> <p><sup>1</sup>School of Life Sciences, Jaipur National University, Jaipur-302017, Rajasthan, India</p> <p><sup>2</sup>DNA Division, State Forensic Science Laboratory, Rajasthan, Jaipur -302016, India</p> <p><sup>3</sup>DNA Fingerprinting Unit, State Forensic Science Laboratory, Department of Home (Police), Govt. of MP, Sagar-470001, India</p> <p><sup>4</sup>Cytogenetics Laboratory, Dept. of Zoology, Banaras Hindu University, Varanasi-221005, India</p> <p><sup>#</sup>author with equal credential</p> <p>*Corresponding Author – <a href="mailto:pankaj.shrivastava@rediffmail.com">pankaj.shrivastava@rediffmail.com</a></p> <p>Contact details: Phone No.- +919424371946</p>
Climatological characteristics of thunderstorm clouds over the Tibetan Plateau indicated by TRMM/RPFs with lightning
<p>The uploaded are the data associated with the figures in the paper titled "Climatological characteristics of thunderstorm clouds over the Tibetan Plateau indicated by TRMM/RPFs with lightning" which is submitted to the JGR.</p> <p>Using radar precipitation feature (RPF) data from 1998 to 2014 derived from Tropical Rainfall Measuring Mission (TRMM) satellite observations, we analyzed the activity and properties of thunderstorm clouds (TCs) over the Tibetan Plateau (TP) and compared them with those over two contrasting land regions (CR1 and CR2). We revealed the properties of TCs over the TP including their flash rate, flash density, flash properties (duration, length and radiance), horizontal and vertical extent, and vertical profiles of reflectivity and compared them with those over CR1 and CR2. We further suggested a comparison of the effective charge regions (ECRs) in the TCs over the three regions and indicated the possible relationship between the flash rate of the TC and number of ECRs as well as between the flash density of the TC and the proportional ECR area. A conceptual sketch map was proposed that reveals the uniqueness of TCs over the TP. The results indicate that TCs over the central TP are most active; generally, the flash rates, flash properties, and sizes of the TCs are greater over the eastern TP than over the western TP. Meanwhile, the TCs over the southern and western TP have a larger vertical extent and flash density, respectively. The analysis of monthly and diurnal variations indicated the prominent preference of TC activity to occur in the warm season and afternoon, and multiple variations of TC properties.</p>
Data from: Neuron-specific knockouts indicate the importance of network communication to Drosophila rhythmicity
<p>Animal circadian rhythms persist in constant darkness and are driven by intracellular transcription-translation feedback loops. Although these cellular oscillators communicate, isolated mammalian cellular clocks continue to tick away in darkness without intercellular communication. To investigate these issues in Drosophila, we assayed behavior as well as molecular rhythms within individual brain clock neurons while blocking communication within the ca. 150 neuron clock network. We also generated CRISPR-mediated neuron-specific circadian clock knockouts. The results point to two key clock neuron groups: loss of the clock within both regions but neither one alone has a strong behavioral phenotype in darkness; communication between these regions also contributes to circadian period determination. Under these dark conditions, the clock within one region persists without network communication. The clock within the famous PDF-expressing s-LNv neurons however was strongly dependent on network communication, likely because clock gene expression within these vulnerable sLNvs depends on neuronal firing or light</p>
historico indices mercado hipotecario y vivienda de españa a 8 de noviembre de 2020
<p>serie histórica integrada por los índices de referencia del mercado hipotecario español (EURIBOR, MIBOR, …) publicados por la AHE en su página web. Dicha asociación se encarga de recopilar esta la información de estas series publicadas por diferentes instituciones (BCE, BdE, …). Por otro lado, se ha agregado al dataset información publicada por INE y el Ministerio de Vivienda relativas a la evolución del mercado de la vivienda (número de compraventa mensual de viviendas, precio medio de la vivienda, …). Se añaden series historicas con el importe medio de venta y alquiler por m2</p>
historico indices mercado hipotecario y vivienda de españa
<p>Serie histórica integrada por los índices de referencia del mercado hipotecario español (EURIBOR, MIBOR, …) publicados por la AHE en su página web. Dicha asociación se encarga de recopilar esta la información de estas series publicadas por diferentes instituciones (BCE, BdE, …). Por otro lado, se ha agregado al dataset información publicada por INE y el Ministerio de Vivienda relativas a la evolución del mercado de la vivienda (número de compraventa mensual de viviendas, precio medio de la vivienda, …).</p>
Data from: Models of knot and stem development in black spruce trees indicate a shift in allocation priority to branches when growth is limited
The branch autonomy principle, which states that the growth of individual branches can be predicted from their morphology and position in the forest canopy irrespective of the characteristics of the tree, has been used to simplify models of branch growth in trees. However, observed changes in allocation priority within trees towards branches growing in light-favoured conditions, referred to as 'Milton's Law of resource availability and allocation,' have raised questions about the applicability of the branch autonomy principle. We present models linking knot ontogeny to the secondary growth of the main stem in black spruce (Picea mariana (Mill.) B.S.P.), which were used to assess the patterns of assimilate allocation over time, both within and between trees. Data describing the annual radial growth of 445 stem rings and the three-dimensional shape of 5,377 knots were extracted from optical scans and X-ray computed tomography images taken along the stems of 10 trees. Total knot to stem area increment ratios (KSR) were calculated for each year of growth, and statistical models were developed to describe the annual development of knot diameter and curvature as a function of stem radial increment, total tree height, stem diameter, and the position of knots along an annual growth unit. KSR varied as a function of tree age and of the height to diameter ratio of the stem, a variable indicative of the competitive status of the tree. Simulations of the development of an individual knot showed that an increase in the stem radial growth rate was associated with an increase in the initial growth of the knot, but also with a shorter lifespan. Our results provide support for 'Milton's Law,' since they indicate that allocation priority is given to locations where the potential return is the highest. The developed models provided realistic simulations of knot morphology within trees, which could be integrated into a functional-structural model of tree growth and above-ground resource partitioning.
Data from: Indices of immune function used by ecologists are mostly unaffected by repeated freeze-thaw cycles and methodological deviations
Background: Over the past couple of decades, measuring immunological parameters has become widespread in studies of ecology and evolution. A combination of different immunological indices is useful for quantifying different parts of the immune system and comprehensively assessing immune function. Running multiple immune assays usually requires samples to be repeatedly thawed and re-frozen. There is some evidence that repeated freezing and thawing can affect assay results, but this has never been comprehensively studied in some common ecological immunology assays. We tested the effect of multiple (1, 2, 3, 4, 5, 10) freeze-thaw cycles on the results of four commonly used immunological assays: haemolysis-haemagglutination titres, haptoglobin concentration, bacterial killing capacity and total immunoglobulins (IgY). We tested five different bird species from four different bird orders (Passeriformes, Columbiformes, Charadriiformes and Galliformes), and we included both captive and free-living individuals. In addition, we tested for haptoglobin concentrations and the haemolysis-haemagglutination assay if re-analysing samples 1 year apart led to different results. For the haemolysis-haemagglutination assay we also tested two different sources of rabbit blood, and we compared untreated microtitre plates with plates that were "blocked" to prevent nonspecific interactions between the plate and assay reagents. Results: Repeated freezing and thawing of plasma had no effect on lysis titres, haptoglobin concentrations, bacterial killing capacity, or total immunoglobulin levels. Agglutination titres were unaffected by up to five cycles but were lower after ten freeze-thaw cycles. For the haemolysis-haemagglutination assay and haptoglobin concentrations, re-analysing samples 1 year apart yielded highly correlated data. For the haemolysis haemagglutination assay,thesourceofrabbit blood did not influence the results, and the untreated vs. blocked plates differed slightly overall, but at the individual level assay results were highly correlated. Using different rabbit blood sources or different types of microtitre plates yielded highly correlated data.Conclusions: Our data suggest that repeated freeze-thaw cycles do not impair assay results to the point of influencing ecological or evolutionary conclusions. Plasma samples can be safely stored in one tube and thawed repeatedly for different assays. Nevertheless, we recommend consistent treatment of samples in terms of freeze-thaw cycles or other laboratory treatments to minimize the potential for introducing a systematic bias.
Data from: Generic indicators for loss of resilience before a tipping point leading to population collapse
Theory predicts that the approach of catastrophic thresholds in natural systems (e.g., ecosystems, the climate) may result in an increasingly slow recovery from small perturbations, a phenomenon called critical slowing down. We used replicate laboratory populations of the budding yeast Saccharomyces cerevisiae for direct observation of critical slowing down before population collapse. We mapped the bifurcation diagram experimentally and found that the populations became more vulnerable to disturbance closer to the tipping point. Fluctuations of population density increased in size and duration near the tipping point, in agreement with the theory. Our results suggest that indicators of critical slowing down can provide advance warning of catastrophic thresholds and loss of resilience in a variety of dynamical systems.
Data from: Competitive Indices in cereal and legume mixtures in a South Asian environment
The assessment of competitive performance of mixture components is important for maximizing benefits of intercropping systems. This field study tested binary mixtures of two cereals (sorghum and pearl millet) and three forage legumes (cowpea, cluster bean and soybean), along with their sole crops on competitive indices. Sorghum-cowpea binary mixture resulted in a lower green forage yield of sorghum and cowpea by 9% and 36% respectively, but overall biomass production was increased by 30% and 117% compared to their sole crop equivalents. Partial land equivalent ratios (LER) of all component crops were higher than 0.50, indicating better land use efficiency, except of soybean in binary mixtures with cowpea and cluster bean. However, the highest LER was of sorghum-cowpea (1.55), followed by sorghum-soybean (1.48) and pearl millet-soybean (1.48) binary mixtures. Pearl millet dominated sorghum and all legumes, while cowpea remained a superior competitor among legumes as per aggressivity value index. The highest crowding ratio was exhibited by pearl millet in binary mixture with cluster bean indicating its higher competitive ability incomparison to other mixture components. Observed yield loss data indicated that pearl millet was the most resistant crop to yield loss in all binary mixtures, while soybean had the highest yield reduction. In a short term, the highest area-time equivalent ratio for sorghum-cowpea binary mixture indicated the maximum advantage for this binary mixture compared to other binary mixtures.
Primary documentation on the scientific study of indicators of continuous monitoring and flash monitoring of glycemia in children and adolescents with type 1 diabetes mellitus
<p>The main purpose of creating an electronic database was to evaluate the performance of continuous glucose monitoring (CGM) and flash monitoring (FMS) in children and adolescents diagnosed with type 1 diabetes mellitus. The database is intended for entering, systematizing, storing and displaying patient data (date of birth, age, date of diagnosis of type 1 diabetes mellitus, length of illness, date of first visit to an endocrinologist, with the installation of a CGM or FMS), glycated hemoglobin indicators initially , during the study and ultimately, as well as CGM, FMS data (average glucose level, glycemic variability, percentage of cases above the target range, percentage of cases within the target range, percentage of cases below the target range, number of hypoglycemic episodes and their average duration, frequency of daily scans and frequency of sensor readings).</p><p>The database is the basis for comparative statistical analysis of dynamic monitoring indicators in groups of patients with the presence or absence of diabetic complications (neuropathy, retinopathy and nephropathy). The database presents the results of a prospective, open, controlled, clinical study obtained over a year and a half. The database includes information on 307 patients (adolescent children) aged 3 to 17 years inclusive. During the study, the observed patients were divided into two groups: Group 1 - patients diagnosed with type 1 diabetes mellitus and with diabetic complications, 152 people, Group 2 – patients diagnosed with type 1 diabetes mellitus and with no diabetic complications, 155 people. All registrants of the database were assigned individual codes, which made it possible to exclude personal data (full name) from the database.</p><p>The database is executed in the Microsoft Office Excel program and has the character of a depersonalized summary table, which consists of two blocks-sheets: patients of groups 1 and 2 and is structured according to the following sections: "Patient number"; "Patient code"; "Date of birth"; "Age of the patient"; section "Date of diagnosis of DM1" indicates the date of the official diagnosis of type 1 diabetes mellitus at the first hospitalization of the patient, this information is borrowed from medical information systems; section "Length of service DM1" reflects information about the duration of the patient's illness; the section "Date of the first visit" contains information about the date of the registrant's visit to the endocrinologist with the installation of FMS / CGM devices; the section "Frequency of self-monitoring with a glucometer" contains information about the frequency of measuring blood glucose levels by the patient at home using a glucometer until the establishment of FMS / CGM.</p><p>Sections "HbA1c initially (GMI)", "HbA1c (GMI)", "HbA1c final (GMI)", display the indicators of the level of glycated hemoglobin from the total for the period of the beginning of the study, at the intermediate stages of the study and at the end of observation.</p><p>The database structure has a number of sections accumulating information obtained with CGM/FMS, in particular: the section "Average glucose level"; the section "% above the target range", reflecting the percentage of the patient's stay with glycemia above the target indicators during the day; the section "% within the target range", reflecting the percentage of the patient's stay within the target glycemia indicators per day; the section "% below the target range", reflecting the percentage of the patient's stay with glycemia below the target indicators during the day; the section "Hypoglycemic phenomena", reflecting the number of cases of hypoglycemia in patients within 2 weeks; the section "Average duration", reflecting the average duration of hypoglycemic phenomena registered in the patient; the section "Sensor data received", indicating the percentage of time the patient was with an active device sensor; the section "Daily scans" show the frequency of scans of the patient's glycemic level (once a day); the section "%CV" displays the variability of the patient's glycemia recorded by the device. The listed sections are repeated in the database in accordance with the number of follow-up visit.</p><p>Also in the database there is a section "Mid. values", which contains indicators of the average values of patient data for all of the above sections, both in the first and in the second group of patients.</p><p>When working with the database, the use of filters (in the "Data" tab) containing the names of indicators allows you to enter information about new registrants in a convenient form or correct existing data, as well as sort and search for one or more specified indicators.</p><p>The electronic database allows you to systematize a large volume of results, distribute data into categories, search for any field or set of fields in the input format, systematize the selected array, makes it possible to directly use this data for statistical analysis, as well as to view and print information on specified conditions with the location of fields in a convenient sequence.</p>
Text-fig. 1. Map indicating general and detailed location of the studied localities. in Late Bashkirian Ammonoids From The Mospyne Formation Of The Donets Basin, Ukraine
Text-fig. 1. Map indicating general and detailed location of the studied localities.
CHANGE OF BIOCHEMICAL INDICATORS IN THE NEPROTIC FORM OF CHRONIC GLOMERULONEPHRITIS IN CHILDREN AND THEIR RECOVERY
Open the record for dataset details and reuse information.
DETERMINING THE DEMAND FOR MINERAL FERTILIZERS BASED ON THE STATISTICAL ANALYSIS OF WINTER WHEAT VARIETIES' AGRONOMIC INDICATORS
Open the record for dataset details and reuse information.
Primary documentation on the scientific study of glycemic variability indicators in children and adolescents with diabetes mellitus type 1 diabetes
<p>The main purpose of creating an electronic database was to assess indicators of glycemic variability in adolescents and children diagnosed with diabetes mellitus type 1. The database presents the results of prospective, open, controlled, clinical study obtained over a period of one and a half years. Base data includes information on 307 patients (children and adolescents) aged 3 to 17 years inclusive. The observed patients were divided into two groups: Group 1 - patients diagnosed with type 1 diabetes mellitus and with diabetic complications, 152 people, Group 2 – patients diagnosed with type 1 diabetes mellitus and without diabetic complications, 155 people. All database registrants were assigned individual codes, which made it possible to exclude personal data (full name) from the database.</p><p>During the study, an analysis of carbohydrate metabolism was carried out with an assessment HbA1c (glycated hemoglobin), CGMS (continuous glucose monitoring), FMG (flash glucose monitoring) with face-to-face consultations with an endocrinologist and analysis of the data obtained. Obtained monitoring results were processed using a specialized variability calculator glycemia (EasyGV®, ver. 9), the following indicators and indices were calculated variability: average glycemic level (Mean), standard deviation (SD); index prolonged increase in glycemia (CONGA); glycemic lability index (LI); index risk of hypoglycemia (LBGI); hyperglycemia risk index (HBGI), average value overall risk (ADRR), average amplitude of glycemic fluctuations (MAGE); grade inter-day GV (MODD), rate of change in glycemia (MAG), J-index - indicator quality of glycemic control. The database is intended for entering, organizing, storing and displaying all of the above data.</p>
Supplementary Material - Environmental Health and its Indicators
<p>Table containing data obtained from the systematic literature review titled “Environmental Health and its Indicators: A Systematic Literature Review".</p>
Database of feed efficiency indicators of intensive fattening lambs of sheep breeds in Latvia in 2nd trial (A23) with-in the framework of the project of the Latvian Council of Science LZP-2021/1-0489 project
<p><span>Project of The Latvian Council of Science (LCS) - LZP-2021/1-0489 project: “<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>”.</span></p> <p><span>The <strong>aim of the project</strong> is</span><span> to determine whether the feed efficiency status of <span>Latvian meat sheep breeds</span> could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent FE status in a training population of lambs when fed the same diet.</span></p> <p><strong><span>Novelty</span></strong><span>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency - based on molecular and genetic markers obtained from the blood of live lambs. </span></p> <p><strong><span>About the project:</span></strong></p> <p><span>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two most significant components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development<span>.</span> <span>Feed efficiency </span>in growing lambs (i.e., the animal’s ability to reach a market or adult body weight (BW) with the least feed intake) is a critical factor in the sheep industry. <span>Improving FE reduces production costs. Improving FE by 5% can bring economic benefits up to four times higher than a 5% increase in average daily gain (ADG).</span></span></p> <p><span>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in <span>feed efficiency </span>that they were used as part of a routine improvement program. According to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. <span>The physiological determinants of feed efficiency or putative biomarkers used to analyse animal-to-animal variation in live lambs could be a cost-effective and rapid tool for genetic selection or management decisions.</span></span></p> <p><strong><span>About the data of the project:</span></strong></p> <p><span>LZP-2021/1-0489 project data on lamb samples of the second year: 2023, or A23 group, which consists of 92 intensively fattened lambs from eight breeds, including LT breed, which were raised in the meadow and are semi-sibi lambs within the scope of the study.</span></p> <p><span>The database contains data on ultrasonography measurements of lambs during the beginning and end of fattening, intensive fattening data - actual and calculated on the 90th and 150th day, the amount of feed used and slaughter data. Ultrasonography data were used to calculate muscle and/or fat depth changes at the 13th rib during the fattening period.</span></p> <p><span><span>Based on the requirements of the breeding program of the breeds (LAAA, 2022), every year, the offspring of the sire ram, certified for breeding activity, are selected and analysed to estimate the sire rams.</span></span><span><span> </span></span><span><span>All lambs were born as twins, triplets or quadruplets from different ewes and health status was assessed before inclusion in the study so that there were at least two lambs per sire ram from the breed. This study was carried out in cooperation with the Latvian Sheep Breeders' Association </span></span><span>at<span> the ram breeding control station.</span></span></p> <p><strong><span> </span></strong></p> <p><span>The data is the<strong><span> joint property</span></strong> of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</span></p>
Scores for indicators of IKS inclusivity applied to DFO advice documents published during 2019-2024
<p>This data set is the basis for our paper, <em>Inclusivity of Indigenous Knowledge Systems in Fisheries Management</em>, first submitted to <em>Fish and Fisheries</em> on November 24, 2024, revision invited on January 30, 2025, and re-submission on February 2025..</p> <p>Data are presented in a spreadsheet with three tables.</p> <p><strong>The first table</strong> reproduces information from Table 2 in the manuscript, describing each indicator and its scoring criteria. </p> <p><strong>The second table</strong> contains information on each of the advice documents analyzed, including their full citation hyperlinked to the original document. While each column is self-explanatory, we highlight the following:</p> <ul> <li><strong>Column H</strong> provides scores for each indicator that applies to the document, and <strong>Column J</strong> normalizes the scores. </li> <li><strong>Column J</strong> provides the justification for each score. </li> <li> <strong>Column K</strong> provides, in a few cases, additional information which does not necessarily contribute to the score's justification but which provides additional context. </li> </ul> <p><strong>The third table</strong> defines acronyms.</p>
Compound Drought and Heatwave (CDHW) Event Indicators – Adige River Catchment, 1950–2023
<table> <tbody> <tr> <td> <p><strong>Science Case Name </strong></p> </td> <td> <p>Hot and dry compound events in the Adige River Catchment (Eastern Italian Alps)</p> </td> </tr> <tr> <td> <p><strong>Dataset Title </strong></p> </td> <td> <p>Compound Drought and Heatwave (CDHW) event indicators for the Adige River Catchment (1950-2023)</p> </td> </tr> <tr> <td> <p><strong>Dataset Description </strong></p> </td> <td> <p>Occurrence and severity gridded fields of CDHW events over the Adige River Catchment from 1950 to 2023. The dataset includes the event list with duration, extent, total severity, magnitude and ranking of each identified event.</p> </td> </tr> <tr> <td> <p><strong>Key Methodologies</strong></p> </td> <td> <p>A CDHW event is determined by the co-occurrence of drought and heatwave conditions over at least 60% of the Adige River Catchment. Drought and heatwave indicators were derived using daily temperature and precipitation data from the E-OBS gridded dataset.</p> <p>A drought period is identified as a sequence of consecutive months with a negative Standardized Precipitation Index (SPI), starting with the first month where the SPI-6 (6-month timescale) falls below -1. Heatwaves are defined as periods of at least three consecutive days where the daily maximum temperature (TX) exceeds the 90th percentile for that specific calendar day, determined using a 31-day running mean centred on the day under evaluation and considering all values from 1950 to 2023. When two or more periods of consecutive exceedances are separated by one day with TX below the threshold, they are considered as a single heatwave occurrence and the day below the threshold is included in the event duration. </p> <p>In the occurrence grids, for each day in a CDHW event, grid cells where both drought and heatwave conditions are detected are flagged as "1". If the compound condition is not met, the cell is flagged as "0". In the severity fields, the severity (dimensionless) for each day in a CDHW event is calculated as the product of the standardized daily TX over the days of the event and the absolute value of SPI-6 in the corresponding month. The calculation of the severity is similar to the one proposed by Mukherjee and Mishra (2021), but with the percentiles used in the standardization of TX varying with the day of the year. </p> <p>The list of CDHW events affecting the Adige River Catchment over 1950-2023 includes the start and end dates, the percentage of the area affected, the total severity (dimensionless), magnitude (dimensionless) and ranking of the event. The total severity of the event is defined as the average of the CDHW severities of all grid cells in the catchment experiencing the CDHW conditions. The total severity of the CDHW event at each grid cell is calculated as the sum of the daily severity values over days flagged as "1". The magnitude is the product of the total severity and the fraction of area affected. CDHW events are ranked based on their magnitude.</p> </td> </tr> <tr> <td> <p><strong>Temporal Domain</strong></p> </td> <td> <p>1950-2023</p> </td> </tr> <tr> <td> <p><strong>Spatial Domain</strong></p> </td> <td> <p>Extended region centred on the Adige River Catchment (7.10°-15.30°E, 44.10°-49.10°N); Spatial resolution: 0.1°x0.1° (EPGS:4326)</p> </td> </tr> <tr> <td> <p><strong>Key Indicators </strong></p> </td> <td> <p>CDHW occurrence and severity (grid) and CDHW duration, extent, total severity and magnitude (list)</p> </td> </tr> <tr> <td> <p><strong>Data Format</strong></p> </td> <td> <p>netCDF and CSV</p> </td> </tr> <tr> <td> <p><strong>Source Data</strong></p> </td> <td> <p>E-OBS dataset (v29.0e)</p> </td> </tr> <tr> <td> <p><strong>Accessibility</strong></p> </td> <td> <p>Zenodo, https://doi.org/10.5281/zenodo.13839122 </p> </td> </tr> <tr> <td> <p><strong>Stakeholder Relevance</strong></p> </td> <td> <p>The list of hot and dry events for the Adige River Catchment can support regional water managers to identify the most critical meteorological conditions over the past decades and link them to the observed local impacts. The details about event severity, magnitude and spatial and temporal extent provided in the list can be used directly to characterize the impactful hot and dry episodes. Moreover, the gridded fields offer a consistent description of the phenomena throughout the Adige River Catchment and can be used to localize the affected areas and identify the main spatial patterns of hot and dry conditions. </p> </td> </tr> <tr> <td> <p><strong>Limitations/Assumptions</strong></p> </td> <td> <p>Results accuracy can be influenced by potential biases in the original data source over the study area. The 0.1-grid of E-OBS limits a detailed representation of local conditions and spatial patterns, while the continuous temporal coverage enables historical event detection and analysis. Thresholds used in the proposed definitions are based on expert knowledge and other choices are also possible.</p> </td> </tr> <tr> <td> <p><strong>Contact Information</strong></p> </td> <td> <p>Elena Maines (Center for Climate Change and Transformation - Eurac Research) (data curator)</p> <p>Alice Crespi (Center for Climate Change and Transformation - Eurac Research) (data curator)</p> <p>Marc Lemus-Canovas (Center for Climate Change and Transformation - Eurac Research; Universidade de Santiago de Compostela) (data curator)</p> </td> </tr> </tbody> </table>
Figure 9 from: Huemer P, Schmid J (2021) Relict populations of Lyonetia ledi Wocke, 1859 (Lepidoptera, Lyonetiidae) from the Alps indicate postglacial host-plant shift to the famous Alpenrose (Rhododendron ferrugineum L.). Alpine Entomology 5: 101-106. https://doi.org/10.3897/alpento.5.76930
Figure 9 Habitat of Lyonetia ledi in Engadine/Switzerland with Rhododendron ferrugineum.
Supplementary material 1 from: Iepure S, Gouin N, Bertin A, Camacho AI, González-Ramón A, de Cisneros Vencelá CJ, Di Lorenzo T (2018) The use of groundwater crustacean communities as indicators for aquifers quality in the semi-arid region of north-central Chile. ARPHA Conference Abstracts 1: e30126. https://doi.org/10.3897/aca.1.e30126
Supplementary File
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.