cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15224959
title: Dataset for the paper "Kinetic rates calculation via non-equilibium dynamics"

description: In this repository we have four different archives:

-input_data.zip, which contains all the input data to run the simulations shown in the manuscript (GROMACS and plumed input data), and the python script used to filter and analyze the data.-unbiasedMD_multi-eGO.zip, which contains all the long unbiased simulations with the multi-eGO model (10 replicates, 10 µs each).-simulation_data_multi-eGO.zip, which contains all the ratchet&pawl MD (rMD) simulations (xtc trajectories, rMD bias information and collective variable progression) for all the 660 independent runs performed using the multi-eGO potential.-simulation_data_aa.zip, which contains all the ratchet&pawl MD (rMD) simulations (xtc trajectories, rMD bias information and collective variable progression) for all the 600 independent runs performed using the all-atom DES Amber potential.
DOI: 10.15468/dl.tvaf94
title: Occurrence Download

description: A dataset containing 358135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Olea europaea",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "DecimalLongitude is greater than or equal to -20",
 "DecimalLongitude is less than or equal to 20",
 "DecimalLatitude is greater than or equal to 20",
 "DecimalLatitude is less than or equal to 50"
 ]
}

 The dataset includes 358135 records from 377 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012810-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zt4cp
title: Occurrence Download

description: A dataset containing 3547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Leucaena leucocephala"
 ]
}

 The dataset includes 3547 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012841-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wwpam
title: Occurrence Download

description: A dataset containing 2673 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus teocote"
 ]
}

 The dataset includes 2673 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012842-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13026/fcvm-qs78
title: MIMIC-III-Ext-PPG: A  PPG Benchmark Dataset for Cardiorespiratory Analysis

description: MIMIC-III-Ext-PPG is a large-scale, annotated, and quality-assessed dataset of
photoplethysmogram (PPG) segments extracted from the MIMIC-III Waveform
Database Matched Subset. It contains 4.9 million non-overlapping 30-second
segments from 6,131 critically-ill patients and serves as the largest public
resource for heart rhythm classification. The dataset contains signals
recorded during several heart rhythms: sinus rhythm, atrial fibrillation,
atrial flutter, heart block, pacing, and several less common rhythms. PPG
segments were extracted within the 15-minute period prior to a patient's heart
rhythm being recorded in the medical record, providing reference rhythm
annotations in-line with best practice from the literature. In addition,
simultaneous electrocardiogram (ECG, lead II), arterial blood pressure (ABP),
and respiratory (RESP) signals are provided where available. Additional
annotations were derived from these signals, including blood pressure, heart
rate, and respiratory rate. Signal quality metrics are provided for all
signals. Furthermore, a dedicated pipeline was applied to remove mislabeled
signals, which, to the best of our knowledge, have previously gone unnoticed.
The MIMIC-III-Ext-PPG dataset is a valuable resource for a variety of
downstream prediction tasks, enabled by its size, range of reference
annotations, and signal quality metrics.
DOI: 10.13026/nmwb-6h34
title: MIMIC-III-Ext-PPG: A  PPG Benchmark Dataset for Cardiorespiratory Analysis

description: MIMIC-III-Ext-PPG is a large-scale, annotated, and quality-assessed dataset of
photoplethysmogram (PPG) segments extracted from the MIMIC-III Waveform
Database Matched Subset. It contains 4.9 million non-overlapping 30-second
segments from 6,131 critically-ill patients and serves as the largest public
resource for heart rhythm classification. The dataset contains signals
recorded during several heart rhythms: sinus rhythm, atrial fibrillation,
atrial flutter, heart block, pacing, and several less common rhythms. PPG
segments were extracted within the 15-minute period prior to a patient's heart
rhythm being recorded in the medical record, providing reference rhythm
annotations in-line with best practice from the literature. In addition,
simultaneous electrocardiogram (ECG, lead II), arterial blood pressure (ABP),
and respiratory (RESP) signals are provided where available. Additional
annotations were derived from these signals, including blood pressure, heart
rate, and respiratory rate. Signal quality metrics are provided for all
signals. Furthermore, a dedicated pipeline was applied to remove mislabeled
signals, which, to the best of our knowledge, have previously gone unnoticed.
The MIMIC-III-Ext-PPG dataset is a valuable resource for a variety of
downstream prediction tasks, enabled by its size, range of reference
annotations, and signal quality metrics.
DOI: 10.25949/30866492
title: 2026 Generative AI Pedagogies and Technologies Survey Data

description: This survey explores how educators across early childhood, school, and tertiary settings understand, adopt, and integrate generative artificial intelligence (AI) technologies into their professional practice. It aims to build a comprehensive picture of the rapidly evolving AI-in-education landscape by documenting not only which tools teachers are using, but how and why they are being used for teaching, learning, planning, and assessment.The survey gathers demographic information to contextualise AI use across teaching levels, subject areas, experience, and geographic locations. It then examines educators’ familiarity with generative AI and their engagement with a wide range of tools, including large language models, image, audio, video, presentation, tutoring, research, and education-specific platforms. Respondents are asked about the frequency and purposes of their AI use, particularly in lesson planning, assessment design, marking, and feedback.A central focus of the survey is the pedagogical integration of AI in classrooms. Teachers who use AI with students are invited to describe concrete examples of learning activities, including learning objectives, student and teacher roles, the functions AI played in supporting learning, and the benefits and challenges encountered. The survey also addresses assessment implications, probing how AI use affects the evaluation of student work and what strategies educators employ to manage associated issues.For those who do not use AI with students, the survey captures perceived barriers and concerns. An optional future-focused section investigates educators’ views on how AI will reshape teaching and assessment practices, as well as the adequacy of institutional support and professional learning.Overall, the survey seeks to inform educators, researchers, and policymakers about current practices, institutional conditions, and future needs related to generative AI in education, highlighting both innovative uses and critical tensions as AI becomes embedded in everyday teaching and learning.
DOI: 10.25949/30866492.v1
title: 2026 Generative AI Pedagogies and Technologies Survey Data

description: This survey explores how educators across early childhood, school, and tertiary settings understand, adopt, and integrate generative artificial intelligence (AI) technologies into their professional practice. It aims to build a comprehensive picture of the rapidly evolving AI-in-education landscape by documenting not only which tools teachers are using, but how and why they are being used for teaching, learning, planning, and assessment.The survey gathers demographic information to contextualise AI use across teaching levels, subject areas, experience, and geographic locations. It then examines educators’ familiarity with generative AI and their engagement with a wide range of tools, including large language models, image, audio, video, presentation, tutoring, research, and education-specific platforms. Respondents are asked about the frequency and purposes of their AI use, particularly in lesson planning, assessment design, marking, and feedback.A central focus of the survey is the pedagogical integration of AI in classrooms. Teachers who use AI with students are invited to describe concrete examples of learning activities, including learning objectives, student and teacher roles, the functions AI played in supporting learning, and the benefits and challenges encountered. The survey also addresses assessment implications, probing how AI use affects the evaluation of student work and what strategies educators employ to manage associated issues.For those who do not use AI with students, the survey captures perceived barriers and concerns. An optional future-focused section investigates educators’ views on how AI will reshape teaching and assessment practices, as well as the adequacy of institutional support and professional learning.Overall, the survey seeks to inform educators, researchers, and policymakers about current practices, institutional conditions, and future needs related to generative AI in education, highlighting both innovative uses and critical tensions as AI becomes embedded in everyday teaching and learning.
DOI: 10.1594/pangaea.921077
title: Water vapour isotopes analyser calibrated data from Samoylov station, 2017-02
DOI: 10.1594/pangaea.937291
title: δ18O, Mn/Ca, Mg/Ca, and Sr/Ca of the Pacific oyster Magallana gigas from a tidal basin in the Central Wadden Sea

description: High-resolution proxy records are needed to evaluate models simulating past, present and future climatic conditions. Before such records can be reliably employed, calibration studies have to be conducted to assess the confidence intervals of the proxies. Here, we use shells of the fast growing Pacific oyster Magallana gigas from the Central Wadden Sea, North Sea, a temperate barrier island-backbarrier tidal flat-salt marsh system with large seasonal changes of water mass-properties, for the calibration of geochemical proxies. M. gigas represents a nonnative invasive species that rapidly develops oyster reefs. Calcite shells of two specimens from the intertidal and subtidal zones were sampled in high resolution yielding sub-monthly data sets. The time period represented in the shell, based on δ18O age modeling, was estimated at 8–10 years and the growth of the shells was restricted from (late) spring to (early) autumn of each year. Mg/Ca, Mn/Ca and Sr/Ca ratios of the intertidal and subtidal specimens show similar seasonal patterns. Mg/Ca and Sr/Ca ratios are investigated as high-resolution sea surface temperature (SST) proxies. Important ontogenetic effects (i.e., increasing time-averaging with increasing age) as well as inter-specimen variability are discussed as limiting factors for the proxy development. Intertidal Mg/Ca ratios show only a significant correlation to the high-resolution SST record of the Central Wadden Sea when the early ontogenetic stage is considered. Sr/Ca ratios were comparable in terms of absolute values and amplitudes to those of M. gigas in the Northern Wadden Sea, but amplitudes were decreasing with increasing age. These findings seriously hamper the application of Mg/Ca and Sr/Ca for reliable palaeotemperature reconstructions regardless of ontogenetic stage. The Mn/Ca ratios were investigated as proxy for Mn cycling in tidal basins, where it is interrelated with seasonal changes in primary production. In addition to the generally observed seasonal variability of the Mn/Ca oyster records, the subtidal Mn/Ca is significantly elevated compared to intertidal Mn/Ca. The subtidal Mn/Ca offset likely reflects differences in Mn cycling in tidal settings and could, therefore, serve in the palaeorecord as indicator to differentiate inter- and subtidal habitats in the same embedding sedimentary facies. This habitat effect has to be considered as an important factor besides environmental change when interpreting the high-resolution proxy record of fossil oysters.
DOI: 10.1594/pangaea.921064
title: Water vapour isotopes analyser calibrated data from Samoylov station, 2016-01
DOI: 10.1594/pangaea.921066
title: Water vapour isotopes analyser calibrated data from Samoylov station, 2016-03
DOI: 10.1594/pangaea.937577
title: Mg, O, and H isotope composition and Mg concentration of monthly precipitation of northwest Germany from 2014 to 2017

description: The data set consists of magnesium (Mg), oxygen (O), and hydrogen (H) isotope signatures and Mg concentrations of monthly collected precipitation and daily snow samples. Samples were collected between December 2014 and June 2017 in the village of Gevelsberg (NW Germany, 51.32°N, 7.32°E) at 206 m above sea level. Rainwater was collected daily using a funnel connected to a 5 liter PET canister. The collected water was transferred into a second canister to store the monthly sample. Snow samples were separately collected on the days of snowfall in ca. 5 m distance to the rainwater collection site using 500 ml PET bottles. The full snow thickness was sampled using a small scoop. All collected monthly and daily snow samples were filtered using 0.45µm cellulose-acetate filters (Sartorius) and stored in a fridge. Subsequent analysis of rain and snow samples include Mg concentration analysis using an ICP-OES (iCAP 6500 DUO, Thermo Fisher Scientific) and Magnesium isotope composition analysis using an MC-ICP-MS Neptune (Thermo Fisher Scientific) at the Ruhr-University Bochum, Germany. Oxygen and hydrogen isotope composition was determined using cavity ring-down spectrometry (L2140i, Picarro) at Innsbruck University, Austria.
DOI: 10.1594/pangaea.967417
title: Sensor data collected during the sampling in river Paimionjoki

description: This table contains sensor data collected during the sampling and all measurements that were conducted in the laboratory before any experimental manipulations. During each sampling the in-situ particle size distribution was measured by laser diffraction (data presented in a separate table), and conductivity, dissolved oxygen concentration, pH and temperature were measured using a multiparameter sonde (EXO2, YSI). Laboratory measurements of the collected surface water samples include chromophoric and fluorescent dissolved organic matter, chlorophyll a concentration, suspended particulate matter, particulate organic carbon and dissolved elements.
DOI: 10.1594/pangaea.967423
title: Laboratory measurements after the experimental flocculation

description: This table contains laboratory measurements from both treatments conducted after the experimental flocculation.
DOI: 10.1594/pangaea.905175
title: XRF scanner ln(Ti/Ca) and ln(Fe/K) and EDP XRF ln(Ti/Ca) and ln(Fe/K) for piston core M125-95-3
DOI: 10.1594/pangaea.967424
title: Selected colored dissolved organic matter propertie of the experimental flocculation

description: This table contains measurements of selected colored dissolved organic matter properties measured in size-fractioned dissolved organic matter after an ultrafiltration conducted after the flocculation experiment. Nominal molecular-weight cutoffs of 1, 3, and 10 kDa were used. The ultrafiltration was conducted using the replicate 1 of the flocculation experiment.
DOI: 10.1594/pangaea.943182
title: δ18О in ice wedges (δ18Оiw) and reconstructed mean January air temperature (ТmJ) in Kolyma Lowland region for three key Holocene stages

description: Oxygen isotope measurements of most of the ice wedges studied were carried out using a G-50 device in the isotope geology laboratory at the Institute of Geology, Tallinn, Estonia (Prof. R. Vaykmäe) and in the isotope hydrology laboratory at the Institute of Water Problems of Russian Academy of Science (Dr. A. Esikov). Control measurements were carried out in both laboratories. The ice wedges sampled during field work in 2018 were analyzed in the stable isotope laboratory of the Geography Faculty at Lomonosov Moscow State University (Prof. Y. Vasil'chuk and Dr N. Budantseva) using a Finnigan Delta-V Plus mass spectrometer, applying equilibration techniques. International water standards (SMOW, GRESP, and SLAP) were used for calibration. Analytical precision was ±0.4‰ for δ18O and ±1‰ for δ2 H. All values are presented in δ-notation in per mille (‰) relative to the Vienna Standard Mean Ocean Water (VSMOW). Deuterium excess (dexc) is calculated as dexc = δ2 H-8δ18O.38 14C ages of bulk samples were obtained at the Institute of Geology RAS (lab. code GIN) and at the Institute for the History of Material Culture, St. Petersburg (lab. code Le). Radiocarbon ages were calibrated using OxСal 4.3 based on the IntCal13 data set and given as yrs cal BP.39,40
DOI: 10.1594/pangaea.418311
title: Isotopic composition of modern ice wedges and winter precipitation in the Laptev Sea region (Table 2)

description: The first step for the application of stable isotope analyses of ice wedges for the correct paleoclimatic reconstruction supposes the study of the isotopic composition of modern ice wedges and their relationship with the isotopic composition of modern precipitation. The purpose of this research is to present, to analyze and to discuss new data on isotopic composition (d18O, dD, 3H) of modern ice wedges obtained in the Laptev Sea region in 1998-99. Investigations were carried out at two sites: on Bykovsky Peninsula in 1998 and on Bol'shoy Lyakhovsky Island in 1999 and were based on the combined application of both tritium CH) and stable isotope (d18O, dD) analyses. Tritium analyses of the atmospheric precipitation collected during two field seasons show seasonal variations: high tritium concentration in snow (to a maximum of 207 TU) and low values of tritium concentration (&lt;20 TU) in rain. High tritium concentrations are also observed in the surface water, in suprapermafrost ground waters, and in the upper part of permafrost. High tritium concentrations range between 30-40 TU and 750 TU in the studied modern ice wedges (active ice wedges), which let us believe that they are of modern growth. Such high tritium concentrations in ice wedges can not be associated with old thermonuclear tritium because of the radioactive decay. High tritium concentrations found in the snow cover in 1998/99, in the active layer and in the upper part of permafrost give evidence of modern (probably the last decade) technogenic tritium arrival from the atmosphere on to the Earth surface in the region. The comparison of the isotopic composition (d18O, dD and d-excess) of active ice wedges and modern winter precipitation in both sites shows: 1) the isotopic composition of snow correlates linearly with a slope close to 8.0 and parallel to the GMWL at both sites; 2) the mean isotopic composition of active ice wedges on Bykovsky Peninsula is in good agreement with the mean isotopic composition of modern snow; 3) the isotopic composition of active ice wedges and snow on Bol'shoy Lyakhovsky Island are considerably different. There are low values of d-excess in all studied active ice wedges (mean value is about 4.8 per mil), while in snow, the mean value of d-excess is about 9.5 per mil. Possible reasons for this gap are the following: 1) the modification of the isotopic composition in snow during the spring period; 2) changes in the isotopic composition of ice wedges due to the process of ice sublimation in open frost cracks during the cold period; 3) mixing of snowmelt water with different types of surface water during the spring period; 4) different moisture source regions.
description: Supplement to: Dereviagin, Alexander Yu; Meyer, Hanno; Chizhov, Alexander B; Hubberten, Hans-Wolfgang; Simonov, Eugeniy F (2002): New data on the isotopic composition and evolution of modern ice wedges in the Laptev Sea region. Polarforschung, 70, 27-35
DOI: 10.1594/pangaea.739952
title: Pollen profile WACHS, Wachseldorn Untermoos, Switzerland

description: The EPD (http://www.europeanpollendatabase.net) accepted species name is given in the parameter comment. This dataset was archived on 2010-05-11 from the EPD database.
DOI: 10.1594/pangaea.921080
title: Water vapour isotopes analyser calibrated data from Samoylov station, 2017-05
DOI: 10.1594/pangaea.962547
title: Biological nitrogen fixation and stable isotopes of carbon in seston during Meteor cruise M119

description: Biological nitrogen fixation is a key process balancing the loss of combined nitrogen in the marine nitrogen cycle. Its relevance in upwelling systems is not fully resolved. This dataset contains rates of nitrogen fixation through the euphotic layer in two size fractions measured following Montoya et al (1996) technique. It also contains the stable isotopes of carbon in seston expressed in delta notation (δ13C, ‰, VPDB). We sampled in the region of the Guinea Dome and Equatorial Atlantic Ocean along 23°W during Meteor cruise M119 in September 2015. Water samples were collected by niskin bottles attached to a rosette equipped with CTD sensors. Incubations were done in on-deck incubators refrigerated by running surface water continuously and simulating the light intensity of each depth by neutral density filters or meshes.
DOI: 10.1594/pangaea.962351
title: 14С dating of fragments of yedoma sequences in the north of Western Siberia

description: 14С dating of fragments of yedoma sequences in the north of Western Siberia, δ18О values of ice wedges of isolated fragments and reconstructed approximate mean January air temperatures during the periods of ice wedge formation. Reconstructions of mean January temperatures (Tmean Jan., °C) were carried out by comparing the isotope composition of modern ice veinlets (δ18Oiv) and mean January temperatures (t °J) for the period of ice veinlet growth, i.e., for the last 60-100 years (Vasil'chuk 1991). As a result of this comparison, the equation (1) is obtained: Tmean Jan=1:5×δ18Oiv (± 3 oC). The range of ±3°C indicates the average range of variations of the reconstructed temperatures (Vasil'chuk,1991).
DOI: 10.1594/pangaea.962553
title: Biological nitrogen fixation and stable isotopes of carbon in seston during Meteor cruise M130

description: Biological nitrogen fixation is a key process balancing the loss of combined nitrogen in the marine nitrogen cycle. Its relevance in upwelling systems is not fully resolved. This dataset contains rates of nitrogen fixation through the euphotic layer in two size fractions measured following Montoya et al (1996) technique. It also contains the stable isotopes of carbon in seston expressed in delta notation (δ13C, ‰, VPDB). We sampled in the region of the Guinea Dome and Equatorial Atlantic Ocean along 23°W during Meteor cruise M130 in August-September 2016. Water samples were collected by niskin bottles attached to a rosette equipped with CTD sensors. Incubations were done in on-deck incubators refrigerated by running surface water continuously and simulating the light intensity of each depth by neutral density filters or meshes.
DOI: 10.1594/pangaea.805172
title: Foraminiferal paleotemperatures (MAT) and relative abundances from core M23414 (GIK23414-9)
DOI: 10.1594/pangaea.905173
title: Stable oxygen isotope record of piston core M125-95-3