cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rfgvzy78p9
title: Pharmacokinetics of midazolam and its metabolites in cardiac surgery - supplementary material

description: This is a supplementary material to the paper: Procak M., Rojek S., Jawien W., Walczak M., Hiesmayr M: Cichna-Markl M. Pharmacokinetics of midazolam, 1´-OH-midazolam, 4-OH-midazolam, 1´-OH-midazolam-𝛽-D-glucuronide, and 4-OH-midazolam-𝛽-D-glucuronide in serum and urine from patients undergoing cardiac surgery 
published in Folia Medica Cracoviensia, vol. LXV, 4, 2025: 69–86, doi: 10.24425/fmc.2025.156700.
DOI: 10.17632/rfgvzy78p9.2
title: Pharmacokinetics of midazolam and its metabolites in cardiac surgery - supplementary material

description: This is a supplementary material to the paper: Procak M., Rojek S., Jawien W., Walczak M., Hiesmayr M: Cichna-Markl M. Pharmacokinetics of midazolam, 1´-OH-midazolam, 4-OH-midazolam, 1´-OH-midazolam-𝛽-D-glucuronide, and 4-OH-midazolam-𝛽-D-glucuronide in serum and urine from patients undergoing cardiac surgery 
published in Folia Medica Cracoviensia, vol. LXV, 4, 2025: 69–86, doi: 10.24425/fmc.2025.156700.
DOI: 10.17632/vc8wnf62jg
title: Supplementary Files Untargeted metabolomics study by Cremer J.C. et. al

description: Important note:
- The compound list solely contains annotated compounds. 
- Intensity dataset includes additional peaks (double valley eluting compounds) and ISTDs were excluded.
DOI: 10.17632/vc8wnf62jg.2
title: Supplementary Files Untargeted metabolomics study by Cremer J.C. et. al

description: Important note:
- The compound list solely contains annotated compounds. 
- Intensity dataset includes additional peaks (double valley eluting compounds) and ISTDs were excluded.
DOI: 10.17632/sv5jcsp78m.1
title: Migrant smuggling: A two-sector model with directed search

description: 1. The Python script used for generating the baseline simulation. Includes model equations and parameter values.
2. The Python script used for obtaining the sensitivity analysis, specifically: the effect of 10% increase in each of the parameters on key policy variables: migrants' value, cartel's profits, and migrants reaching destination borders.
DOI: 10.17632/ms84yw5y5c
title: Multi-stage alteration regulates Ca isotope systematics of the exposed oceanic mantle: Insights from Gakkel Ridge abyssal peridotites

description: Tables S1–S2 provide detailed chemical data on and Ca isotope compositions of the reference materials and studied samples, respectively. Tables S3–S4 offer modelling major element results and Ca isotope compositions for the three starting materials.
DOI: 10.17632/ms84yw5y5c.1
title: Multi-stage alteration regulates Ca isotope systematics of the exposed oceanic mantle: Insights from Gakkel Ridge abyssal peridotites

description: Tables S1–S2 provide detailed chemical data on and Ca isotope compositions of the reference materials and studied samples, respectively. Tables S3–S4 offer modelling major element results and Ca isotope compositions for the three starting materials.
DOI: 10.15468/dl.t3dp2x
title: Occurrence Download

description: A dataset containing 9018 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crepis capillaris, Crepis virens)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 9018 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007829-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/76ckbcyztt
title: Tianjin Open Water Isotope Dataset

description: Isotope datasets for different water bodies in Tianjin (precipitation, CNIP Tianjin, urban surface open water bodies) from July-August 2024 and December 2024-January 2025. This includes 21 precipitation event samples (P1-P21) collected from various regions in Tianjin during the sampling period. Data from 64 GNIP Tianjin stations (G1-G64) were extracted. Summer surface open water samples: 96. Winter surface open water samples: 73.
DOI: 10.17632/76ckbcyztt.1
title: Tianjin Open Water Isotope Dataset

description: Isotope datasets for different water bodies in Tianjin (precipitation, CNIP Tianjin, urban surface open water bodies) from July-August 2024 and December 2024-January 2025. This includes 21 precipitation event samples (P1-P21) collected from various regions in Tianjin during the sampling period. Data from 64 GNIP Tianjin stations (G1-G64) were extracted. Summer surface open water samples: 96. Winter surface open water samples: 73.
DOI: 10.17632/h9246zcsmt
title: Behavioral assessment of blue-fronted Amazon parrots (Amazona aestiva Linnaeus, 1758) subjected to experimentally induced osteoarthritis and rescue analgesia with tramadol in a laboratory environment

description: Data ser used to evaluate the effects of tramadol on Amazon parrots
DOI: 10.17632/h9246zcsmt.1
title: Behavioral assessment of blue-fronted Amazon parrots (Amazona aestiva Linnaeus, 1758) subjected to experimentally induced osteoarthritis and rescue analgesia with tramadol in a laboratory environment

description: Data ser used to evaluate the effects of tramadol on Amazon parrots
DOI: 10.17632/4tzv9jt3sp
title: AI-induced incidents in higher education case

description: AI-induced incidents in higher education case
DOI: 10.17632/4tzv9jt3sp.1
title: AI-induced incidents in higher education case

description: AI-induced incidents in higher education case
DOI: 10.17632/jg74nks7gw
title: a 42 × 42 adjacency matrix

description: a 42 × 42 adjacency matrix for AI case
DOI: 10.17632/jg74nks7gw.1
title: a 42 × 42 adjacency matrix

description: a 42 × 42 adjacency matrix for AI case
DOI: 10.17632/jmyt2fj7j9
title: Migratory beekeeping

description: NGS sequencing data of the gut microbiota of honey bees (Apis mellifera ligustica), collected in a small-scale migratory beekeeping study. Colonies were monitored over two consecutive years.
DOI: 10.17632/jmyt2fj7j9.1
title: Migratory beekeeping

description: NGS sequencing data of the gut microbiota of honey bees (Apis mellifera ligustica), collected in a small-scale migratory beekeeping study. Colonies were monitored over two consecutive years.
DOI: 10.17632/pz9s57jy4c.1
title: Raw data to the article entitled "Redox-active low transition temperature mixtures of propylene glycol and iodide salts as electrolytes for hybrid electrochemical capacitors"

description: This dataset contains Raw Data from Publication entitled: “Redox-active low transition temperature mixtures of propylene glycol and iodide salts as electrolytes for hybrid electrochemical capacitors” by Aleksandra A. Mroziewicz, Rafał Jurczkowski, Jerzy Antonowicz, Grażyna Zofia Żukowska, Magdalena Skunik-Nuckowska published in Electrochimica Acta. The data are provided in Excel files and correspond to all figures presented in the article and a Read Me file with detailed description.
Abstract:
This work reports the first synthesis and systematic investigation of redox-active low transition temperature mixtures based on propylene glycol and iodide salts containing different monovalent cations (Li⁺, Na⁺, K⁺, NH₄⁺), and explores their application as electrolytes for electrochemical capacitors. In contrast to iodide–ethylene glycol systems, commonly classified as deep eutectic solvents, these liquids undergo vitrification rather than classical crystallization. Their formation is driven by extensive hydrogen-bonding interactions, allowing them to remain liquid down to −90 °C while providing efficient ion transport and electroactive iodide species. Comprehensive characterization using Fourier-transform infrared spectroscopy (FT-IR), proton nuclear magnetic resonance (¹H NMR), Raman spectroscopy, thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), as well as conductivity and viscosity measurements, demonstrates that transport and thermal properties strongly depend on the cation type. Mixtures containing larger, weakly solvated cations exhibit the highest ionic conductivity (1.2 mS cm⁻¹) and the lowest viscosity (51.6 mPa s), following the trend K⁺ &gt; NH₄⁺ &gt; Na⁺ &gt; Li⁺.
 Electrochemical evaluation showed that KI:propylene glycol-based capacitors deliver superior performance over a broad temperature range (0–80 °C), achieving room-temperature capacitance and specific energy of 40.9 F g⁻¹ and 12.8 Wh kg⁻¹, respectively. High-rate operation was maintained at low temperature, providing 6.0 Wh kg⁻¹ during a 60 s discharge at 0 °C, outperforming Li⁺- and Na⁺-based analogues (2.7–3.3 Wh kg⁻¹). Long-term cycling tests showed good stability for alkali metal-based electrolytes, exemplified by the K⁺-based system (78 % capacitance retention, ~84 % coulombic efficiency over 10,000 cycles at 1.5 V), while NH₄⁺-containing mixtures degraded due to ammonium ion decomposition.These results establish these mixtures as a new, sustainable class of redox-active electrolytes and provide quantitative guidelines for electrolyte design through cation selection.
DOI: 10.15468/dl.euxa5g
title: Occurrence Download

description: A dataset containing 1073 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crepis jacquinii)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1073 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007830-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/p42823m5m4
title: The data corresponding to the figures in my paper on low-level jet（LLJ）

description: My paper contains 9 figures in total. Except for Fig.3,the data sources of other Figures can be found below.
1.The data source for Fig. 1 includes three files: two MATLAB scripts and one Excel sheet.By running the script test1.m, MATLAB generates three figures, which correspond to Fig. 1(a), (b), and (c), respectively.
2.The data source for Fig. 2 contains three .opju files, each corresponding to one subfigure, and all of them can be opened using Origin software. For Book1 in each file, by taking the first column as the independent variable and plotting it against the subsequent columns, then reversing the X–Y axes and modifying the legend, the corresponding subfigure can be obtained. In this way, Fig. 2(a) , Fig. 2(b) and Fig. 2(c) can be obtained in sequence.
3.Fig. 3 is a schematic illustration intended to convey conceptual relationships rather than precise quantitative data. As such, it does not have an accompanying dataset.
4.The data source for Fig. 4 contains two .opju file, each corresponding to one subfigure. For Book1 in each file, by using the first column as the independent variable and plotting it against the subsequent columns, then modifying the legend, the corresponding subfigure can be obtained.In this way, Fig. 4(a) and Fig. 4(b) can be obtained in sequence.
5.Fig. 5 can be obtained by plotting the first two columns of Book1 in the .opju file from the data source for Fig. 5
6.The data source for Fig. 6 contains two .opju file, each corresponding to one subfigure. For Book1 in each file, by using the first column as the independent variable and plotting it against the subsequent columns, then modifying the legend, the corresponding subfigure can be obtained. In this way, Fig. 6(a) and Fig. 6(b) can be obtained in sequence.
7.The data source for Fig. 7 contains two .opju file, each corresponding to one subfigure. For Book1 in each file, by using the first column as the independent variable and plotting it against the subsequent columns, then modifying the legend, the corresponding subfigure can be obtained. In this way, Fig. 7(a) and Fig. 7(b) can be obtained in sequence.
8.The data source for Fig. 8 contains six .opju file. each corresponding to one subfigure. For Book1 in each file, by using the first column as the independent variable and plotting it against the subsequent columns, then modifying the legend, the corresponding subfigure can be obtained. In this way, Fig. 8(a) - Fig. 8(f) can be obtained in sequence.
9.The data source for Fig. 9 contains four .opju file. each corresponding to one subfigure. For Book1 in each file, by using the first column as the independent variable and plotting it against the subsequent columns, then modifying the legend, the corresponding subfigure can be obtained. In this way, Fig. 9(a) - Fig. 9(d) can be obtained in sequence.
DOI: 10.17632/p42823m5m4.1
title: The data corresponding to the figures in my paper on low-level jet（LLJ）

description: My paper contains 9 figures in total. Except for Fig.3,the data sources of other Figures can be found below.
1.The data source for Fig. 1 includes three files: two MATLAB scripts and one Excel sheet.By running the script test1.m, MATLAB generates three figures, which correspond to Fig. 1(a), (b), and (c), respectively.
2.The data source for Fig. 2 contains three .opju files, each corresponding to one subfigure, and all of them can be opened using Origin software. For Book1 in each file, by taking the first column as the independent variable and plotting it against the subsequent columns, then reversing the X–Y axes and modifying the legend, the corresponding subfigure can be obtained. In this way, Fig. 2(a) , Fig. 2(b) and Fig. 2(c) can be obtained in sequence.
3.Fig. 3 is a schematic illustration intended to convey conceptual relationships rather than precise quantitative data. As such, it does not have an accompanying dataset.
4.The data source for Fig. 4 contains two .opju file, each corresponding to one subfigure. For Book1 in each file, by using the first column as the independent variable and plotting it against the subsequent columns, then modifying the legend, the corresponding subfigure can be obtained.In this way, Fig. 4(a) and Fig. 4(b) can be obtained in sequence.
5.Fig. 5 can be obtained by plotting the first two columns of Book1 in the .opju file from the data source for Fig. 5
6.The data source for Fig. 6 contains two .opju file, each corresponding to one subfigure. For Book1 in each file, by using the first column as the independent variable and plotting it against the subsequent columns, then modifying the legend, the corresponding subfigure can be obtained. In this way, Fig. 6(a) and Fig. 6(b) can be obtained in sequence.
7.The data source for Fig. 7 contains two .opju file, each corresponding to one subfigure. For Book1 in each file, by using the first column as the independent variable and plotting it against the subsequent columns, then modifying the legend, the corresponding subfigure can be obtained. In this way, Fig. 7(a) and Fig. 7(b) can be obtained in sequence.
8.The data source for Fig. 8 contains six .opju file. each corresponding to one subfigure. For Book1 in each file, by using the first column as the independent variable and plotting it against the subsequent columns, then modifying the legend, the corresponding subfigure can be obtained. In this way, Fig. 8(a) - Fig. 8(f) can be obtained in sequence.
9.The data source for Fig. 9 contains four .opju file. each corresponding to one subfigure. For Book1 in each file, by using the first column as the independent variable and plotting it against the subsequent columns, then modifying the legend, the corresponding subfigure can be obtained. In this way, Fig. 9(a) - Fig. 9(d) can be obtained in sequence.
DOI: 10.5281/zenodo.18461456
title: Sensibilidad magnética y foto-dependencia en pupas de Tenebrio molitor

description: Tipo y origen de los datos

La base de datos contiene los resultados experimentales originales obtenidos a partir de dos experimentos diseñados para evaluar el efecto de distintas intensidades de campo magnético y el efecto de la luz azul en el movimiento abdominal de pupas de Tenebrio molitor. Los datos se recolectaron bajo condiciones controladas de laboratorio y corresponden a registros conductuales. 

Organismos y condiciones experimentales

Se evaluaron en total 84 pupas, distribuidas en siete grupos experimentales de 12 individuos cada uno. Todas las pupas tenían tres horas de emergencia, con el fin de homogeneizar las condiciones iniciales del desarrollo. Cabe señalar que las pupas se mantuvieron a una temperatura promedio de 22.7 °C, con 50–70 % de humedad relativa y ausencia de luz. 

Durante los experimentos, cada pupa se colocó de manera individual en una cámara experimental de acrílico negro, con orientación cefálica hacia el norte magnético, y expuesta durante 30 minutos al tratamiento correspondiente.

Variables evaluadas

La base de datos incluye las siguientes variables:



Duración de la exposición: tiempo de aplicación del estímulo (30 minutos).

Número de individuo en cada grupo experimental: 12 individuos por grupo

Tratamiento: condición experimental


-Intensidad de campo magnético, expresada en microteslas (µT):





Campo reducido (−2 µT)

Campo nulo (0 µT)

Campo invertido (−35.2 µT)

Campo incrementado (−50 µT)

Control (+35.2 µT, campo geomagnético terrestre)



-Condición lumínica: exposición de las pupas a la condición lumínica





Luz azul (470 nm).

Luz azul (470 nm) + Campo invertido (−35.2 µT)


Número de contracciones abdominales: conteo total de movimientos abdominales registrados durante el periodo de exposición.

Emergencia del adulto: registro binario que indica si el adulto emergió o no tras la aplicación del tratamiento.


Obtención de los datos

La inversión del campo magnético fue mediante bobinas de Helmholtz, alineadas en sentido opuesto al campo geomagnético terrestre, y controladas por un sistema basado en Arduino para mantener el tiempo de exposición. La intensidad del campo fue verificada con un magnetómetro y el software Magnetometer.

Tras los tratamientos, las pupas fueron mantenidas en observación hasta la emergencia de los adultos, registrándose este evento como indicador del efecto del campo magnético sobre el desarrollo.

Las sesiones experimentales fueron grabadas en video con un teléfono celular (Motorola Moto G73). Posteriormente, los videos fueron analizados mediante el software Tracker, que permitió cuantificar el número de contracciones abdominales durante los 30 minutos de exposición. 

Formato del archivo

Los datos se presentan en un archivo con formato CSV (Comma-Separated Values), compatible con software estadístico. 

Cada fila corresponde a un individuo, y cada columna a una variable experimental. El archivo utiliza:



Valores numéricos para las variables cuantitativas y valores categóricos definidos para los tratamientos
DOI: 10.5281/zenodo.18461457
title: Sensibilidad magnética y foto-dependencia en pupas de Tenebrio molitor

description: Tipo y origen de los datos

La base de datos contiene los resultados experimentales originales obtenidos a partir de dos experimentos diseñados para evaluar el efecto de distintas intensidades de campo magnético y el efecto de la luz azul en el movimiento abdominal de pupas de Tenebrio molitor. Los datos se recolectaron bajo condiciones controladas de laboratorio y corresponden a registros conductuales. 

Organismos y condiciones experimentales

Se evaluaron en total 84 pupas, distribuidas en siete grupos experimentales de 12 individuos cada uno. Todas las pupas tenían tres horas de emergencia, con el fin de homogeneizar las condiciones iniciales del desarrollo. Cabe señalar que las pupas se mantuvieron a una temperatura promedio de 22.7 °C, con 50–70 % de humedad relativa y ausencia de luz. 

Durante los experimentos, cada pupa se colocó de manera individual en una cámara experimental de acrílico negro, con orientación cefálica hacia el norte magnético, y expuesta durante 30 minutos al tratamiento correspondiente.

Variables evaluadas

La base de datos incluye las siguientes variables:



Duración de la exposición: tiempo de aplicación del estímulo (30 minutos).

Número de individuo en cada grupo experimental: 12 individuos por grupo

Tratamiento: condición experimental


-Intensidad de campo magnético, expresada en microteslas (µT):





Campo reducido (−2 µT)

Campo nulo (0 µT)

Campo invertido (−35.2 µT)

Campo incrementado (−50 µT)

Control (+35.2 µT, campo geomagnético terrestre)



-Condición lumínica: exposición de las pupas a la condición lumínica





Luz azul (470 nm).

Luz azul (470 nm) + Campo invertido (−35.2 µT)


Número de contracciones abdominales: conteo total de movimientos abdominales registrados durante el periodo de exposición.

Emergencia del adulto: registro binario que indica si el adulto emergió o no tras la aplicación del tratamiento.


Obtención de los datos

La inversión del campo magnético fue mediante bobinas de Helmholtz, alineadas en sentido opuesto al campo geomagnético terrestre, y controladas por un sistema basado en Arduino para mantener el tiempo de exposición. La intensidad del campo fue verificada con un magnetómetro y el software Magnetometer.

Tras los tratamientos, las pupas fueron mantenidas en observación hasta la emergencia de los adultos, registrándose este evento como indicador del efecto del campo magnético sobre el desarrollo.

Las sesiones experimentales fueron grabadas en video con un teléfono celular (Motorola Moto G73). Posteriormente, los videos fueron analizados mediante el software Tracker, que permitió cuantificar el número de contracciones abdominales durante los 30 minutos de exposición. 

Formato del archivo

Los datos se presentan en un archivo con formato CSV (Comma-Separated Values), compatible con software estadístico. 

Cada fila corresponde a un individuo, y cada columna a una variable experimental. El archivo utiliza:



Valores numéricos para las variables cuantitativas y valores categóricos definidos para los tratamientos
DOI: 10.17632/kxbrsy5zpy
title: Source-oriented health risk assessment of groundwater hydrochemistry in a rapidly-recovering aquifer of the North China Plain, after ten-year implementation of water transfer and management policies

description: This data set is based on the study of groundwater hydrochemistry in North China Plain. This data set shows the hydrochemical characteristics of groundwater in different aquifers.
DOI: 10.17632/kxbrsy5zpy.1
title: Source-oriented health risk assessment of groundwater hydrochemistry in a rapidly-recovering aquifer of the North China Plain, after ten-year implementation of water transfer and management policies

description: This data set is based on the study of groundwater hydrochemistry in North China Plain. This data set shows the hydrochemical characteristics of groundwater in different aquifers.
DOI: 10.17632/w8pch9m9w9
title: Machine Learning driven ATR-FTIR spectroscopy correlated with metabolic profiling of lipids - Changes in phospholipids-lipids balance in heart and liver caused by diabetes

description: FTIR ATR spectra of diabetic and control samples of homogenated heart and liver organs. These data were used in publication "Changes in phospholipids-lipids balance in heart and liver caused by diabetes. ATR-FTIR study analyzed by machine learning and correlated with metabolic profiling of lipids". These spectra are already preprocessed. The file contains the spectra used for the figures and is named as such (Fig 1a, 1b). Machine learning was performed on the data showed in the Fig "2a" and "2b".