PaleoRiada is the first national geographic database that compiles data on palaeoflood records published in scientific journals, book chapters, conference presentations, and publicly accessible scientific-technical reports. This database has been implemented through a Database Management System (Microsoft Access). Funding:Grants 2022-2023 and 2023-2026, signed between the Spanish General Directorate for Water (DGA-MITERD) and the Spanish Research Council (CSIC-MCIU), which include actions 20223TE003 and 20233TE012 (Tarquín project in IGME-CSIC).Community of Madrid (Predoctoral research grant PIPF-2022/ECO-24879)

Freshwater sources from Greenland and Antarctica. For details see https://github.com/NASA-GISS/freshwater-forcing-workshop and https://doi.org/10.5194/egusphere-2025-1940v7 update: See changelog at https://github.com/NASA-GISS/freshwater-forcing-workshop/compare/de5779e8b454a7d432b0159aebfe289665ced3c8...f4250709080c46d82fd96a082a80e4f18ceaa604

The GAIT2CARE database contains socio-demographic information, functional assessments, and gait data of older adults, collected before and after an 8-week multicomponent physical exercise intervention, with the goal of evaluating health status and temporal evolution.  The dataset includes information from 127 participants, consisting of 85 women (67%) and 42 men (33%), aged between 70 and 93 years (82.36 ± 5,34 years).  Participants were divided into two groups according to the type of exercise program followed: Group A (on-site): group-based exercise guided by a specialist at the hospital’s setting (n=63). Group B (app-guided): home-based multicomponent exercise program implemented with remote supervision via the VIVIFIL App [1] providing video instructions, monitored adherence, and allowing chat communication with the healthcare supervisor (n=64). The study followed a pre-post design, with functional and gait assessments performed at two-time visits: at week 0 (before intervention) and at week 8 (after intervention). The level of compliance/adherence at week 8 with the exercise program is also included: null (<20%), poor (20-50%), medium (50-70%) and remarkable (>70%). Functional assessment was collected by 4-meter walking test, Time Up and Go (TUG) test, Short Physical Performance Battery (SPPB), the Fried Frailty Criteria and Falls Efficacy Scale – International (FES-I).  Gait data were captured by inertial sensors (IMUs) placed on the feet during walks of 13.07±5.15 minutes duration, which have been analyzed to estimate characteristic gait parameters. Inertial data from foot-mounted IMUs (acceleration (m/s2), angular velocity (rad/s) and timestamps (s)) are included in the database in .csv files for each participant, trial (week 0 and week 8) and for each foot (right foot (RF) and left foot (LF)), to allow researchers to perform other approaches for gait analysis.  The complete gait analysis is also included for each participant and trial in .csv files, including the gait parameters estimated for all individual steps. The gait parameters included are: cycle duration (CD) (s), cadence (steps/min), stride length (SL) (m), path length 3D (%SL), path length 2D (%SL), stride velocity (m/s), percentage of swing (%CD), percentage of stance (%CD), percentage of stance subphases (loading, foot-flat, and pushing) (%stance), heel strike pitch (degrees), toe-off pitch (degrees), peak angle velocity (degrees/s), turning angle (degrees), heel range of motion (RoM) (degrees), double support (%CD) and stride length normalized (SL/height). The gait analysis has been conducted following the methodology described in [2].Of the 127 participants initially registered for the GAIT2CARE project, five participants abandoned the exercise program before it was completed and inertial data from several others were lost due to IMU recording failures, or technical/human problems. Consequently, the inertial and gait analysis files include 93 participants for whom complete and valid inertial data were available, 44 for group A (on-site) and 49 for group B (application-guided). GAIT2CARE is designed to support research on the effectiveness of exercise interventions in older adults, particularly in relation to gait (inertial analysis) and functional status. However, this dataset is also appropriate for extended research on mobility, frailty, fall risk, aging and gait analysis based on foot-mounted inertial sensors.  The study was approved by the Research Ethics Committee on Medicinal Products (CEIm) of the Hospital Universitario de Albacete on June 27, 2023 (Reference code No. 2023-071) and has been prospectively registered on ClinicalTrials.gov with identifier NCT06936865 (https://clinicaltrials.gov/study/NCT06936865). [1] VIVIFIL App. “Programa de entrenamiento físico multicomponente para adultos mayores”, URL: https://play.google.com/store/apps/details?id=com.app.gait2care&pcampaignid=web_share (Accessed: 2025-10-09)[2] L. Ruiz-Ruiz, J. J. García-Domínguez and A. R. Jiménez, "A Novel Foot-Forward Segmentation Algorithm for Improving IMU-Based Gait Analysis," in IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-13, 2024, Art no. 4010513, doi: 10.1109/TIM.2024.3449951.

Precipitation is one of the main triggers of reproduction in desert-breeding birds. The unpredictability of rainfall patterns in arid environments has led species to adapt their breeding effort to episodes of abundant food after rainfall. The response is not the same for all individuals in a population, and may vary especially with the age and experience of each female. Here we investigate the effects of precipitation, temperature, body size and breeding experience, among other variables, on reproductive parameters of 20 females of Canarian houbara bustard (Chlamydotis undulata fuertaventurae), an endangered desert bird endemic of the eastern Canary Islands. Precipitation and breeding experience were the main determinants of female breeding performance. Higher rainfall determined an increase in nesting rate, and earlier autumn rains caused an advancement of nesting to October, allowing the breeding season to be extended to eight months. This favoured an extraordinary increase in productivity in more rainy breeding seasons, with 15 times more females nesting in the two most rainy winters than in dry years. In addition, females with more breeding experience showed a higher tendency to breed, higher nest attempt and fledging success, and longer breeding season, which allowed them to rear more chicks. A female even double brooded successfully in the same season, which, considering that chicks remain with the mother for up to six months, indicates a great capacity to optimise reproductive investment, by adapting to highly variable rainfall regimes. In recent decades, the eastern Canary Islands have undergone a process of aridification, and climate models predict a medium-term increase in the frequency and duration of drought periods. Thus, Canarian houbaras are particularly vulnerable to climate change, so measures are urgently needed to reduce their mortality and improve the quality of their habitat, in order to favour their reproduction and prevent their extinction.

Many studies of tropical forest ecology occur in protected areas such as national parks.  We have a limited understanding of the composition and structure of trees in areas outside forests, such as urban areas or along roads. Here we report three datasets that are critical for understanding how tree communities differ in Guanacaste, Costa Rica. Our data allow the user to contrast trees in three different land-use types that represent a rural to urban gradient: forests inside conservation areas (20 plots), fencerows (68 plots), and municipal parks (36 parks).  We measured and identified trees >7cm diameter in addition to collecting ancillary data such as plot area (in hectares) and canopy cover (in percent). We also collated information for each identified species on functional characteristics including: status as native to Guanacaste, Costa Rica, leaf habit (evergreen, deciduous, or other) and whether the tree species produces fruit that are edible for humans. Collectively, these data allow the user to calculate stand-level properties such as basal area and percentage of the tree community that is evergreen.

Simulations Data, Inputs, cherry picked Trajectories and videos of the submitted manuscript Glycans modulate the adsorption of RBDGlycoproteins on polarizable surfaces

Simulations Data, Inputs, cherry picked Trajectories and videos of the submitted manuscript Glycans modulate the adsorption of RBDGlycoproteins on polarizable surfaces

A collection of 1200 texts (292173 tokens) about clinical trials studies and clinical trials announcements in Spanish:- 500 abstracts from journals published under a Creative Commons license, e.g. available in PubMed or the Scientific Electronic Library Online (SciELO).- 700 clinical trials announcements published in the European Clinical Trials Register and Repositorio Español de Estudios Clínicos.Texts were annotated with the following entities types:- Semantic groups from the Unified Medical Language System: ANAT, CHEM, DEVI, DISO, LIVB, PHYS and PROC.- Medical drug information: Contraindicated, Dose_or_Strength, Form, and Route_or_Mode_of_administration.- Temporal expressions: Age, Date, Duration_or_Interval, Frequency and Time.- Miscellaneous medical entities: Concept, Food_or_Drink, Observation_or_Finding, Quantifier_or_Qualifier, and Result_or_Value.- Negation/Speculation: Neg_cue, Negated, Spec_cue and Speculated.- Attributes of temporality (Future, Family_history_of, and History_of), experiencer (Patient, Family_member and Other) and other information (Hypothetical).In addition, the following semantic relationships were annotated: - Intervention-related relations:     • Has_Dose_or_Strength    • Has_Drug_Form    • Has_Route_or_Mode    • Combined_with    • Used_for    • Has_Result_or_Value- Temporal relations:     • Before    • After    • Overlap    • Has_Age     • Has_Frequency    • Has_Duration_or_Interval- Event-related relations:     • Causes    • Experiences    • Has_Quantifier_or_Qualifier    • Location_of- Assertion relations:     • Negation    • Speculation81.69% of the total entities were normalized to Unified Medical Language System (UMLS) Concept Unique Identifiers (CUIs).This version includes the corrected files that were previously released in this repository.

This dataset presents the Holocene fossil pollen record from the Merj Lkhil site in the Western Rif Mountains (Morocco), documenting ~7000 years of Cedrus atlantica forest dynamics at the northwestern distribution margin of the species. The 2.3 m sediment core spans from the early Northgrippian (~7118 cal yr BP) to the present and provides percentage data for individual taxa, functional groups (Trees, Shrubs, Herbs, Ferns, Hygrophytes), non-pollen palynomorphs, total pollen concentration, and charcoal counts (>100 μm). Located at higher elevation than other previously studied sequences in Jbel Bou Hachem, this record offers new insights into long-term forest composition, resilience, and ecological thresholds, and allows assessment of vegetation responses to Holocene climate variability, increasing aridity, and anthropogenic disturbance in the western Mediterranean.

A collection of 1200 texts (292173 tokens) about clinical trials studies and clinical trials announcements in Spanish:- 500 abstracts from journals published under a Creative Commons license, e.g. available in PubMed or the Scientific Electronic Library Online (SciELO).- 700 clinical trials announcements published in the European Clinical Trials Register and Repositorio Español de Estudios Clínicos.Texts were annotated with the following entities types:- Semantic groups from the Unified Medical Language System: ANAT, CHEM, DEVI, DISO, LIVB, PHYS and PROC.- Medical drug information: Contraindicated, Dose_or_Strength, Form, and Route_or_Mode_of_administration.- Temporal expressions: Age, Date, Duration_or_Interval, Frequency and Time.- Miscellaneous medical entities: Concept, Food_or_Drink, Observation_or_Finding, Quantifier_or_Qualifier, and Result_or_Value.- Negation/Speculation: Neg_cue, Negated, Spec_cue and Speculated.- Attributes of temporality (Future, Family_history_of, and History_of), experiencer (Patient, Family_member and Other) and other information (Hypothetical).In addition, the following semantic relationships were annotated: - Intervention-related relations:     • Has_Dose_or_Strength    • Has_Drug_Form    • Has_Route_or_Mode    • Combined_with    • Used_for    • Has_Result_or_Value- Temporal relations:     • Before    • After    • Overlap    • Has_Age     • Has_Frequency    • Has_Duration_or_Interval- Event-related relations:     • Causes    • Experiences    • Has_Quantifier_or_Qualifier    • Location_of- Assertion relations:     • Negation    • Speculation81.69% of the total entities were normalized to Unified Medical Language System (UMLS) Concept Unique Identifiers (CUIs).This version includes the corrected files that were previously released in this repository.