cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/bpfwfnkm3k.2
title: Modelo Estadístico para determinar los factores académicos en los Resultados de las Pruebas Saber Pro

description: Objetivo: Diseñar un modelo estadístico que determine los factores académicos sobre resultados de las Pruebas Saber Pro. Metodología o método: El estudio de técnicas de relaciones multivariables y de aprendizaje fueron empleadas para establecer un mecanismo de relación entre un conjunto de variables académicas y sociodemográficas y su influencia con el resultado de la prueba Saber Pro, a través de un diseño y selección de un modelo estadístico multivariable que determine en forma óptima los factores académicos que inciden en los resultados de las pruebas Saber Pro. Resultados: Se apreció que no existen diferencias significativas entre los modelos y la realidad reflejada en la muestra de la validación a excepción de la prueba PCME que el modelo de Random Forest no prueba hipótesis de validación. Se identificó que el modelo de regresión lineal multivariante no muestra diferencias significativas en ninguna de las pruebas, al contrario del modelo Random Forest si muestra diferencias para ciertos valores de α en ING y FPI además de rechazar hipótesis de igualdad para la prueba PCME. Conclusiones: Cualquiera de las técnicas utilizadas en el estudio puede ayudar a realizar un modelo predictivo que sea capaz de permitir a la institución generar estrategias para lograr crear políticas orientadas a mejorar el rendimiento de los estudiantes. Sin embargo, la técnica de regresión lineal multivariante de acuerdo a las pruebas de hipótesis es la mejor posicionada en este estudio.
DOI: 10.48596/pgn.rsus1p1-8.nainital-aries.p251s1
title: Pandora 251s1 direct sun SO2 total vertical column amount at Nainital-ARIES; Processing Code: sus1; Processor Version: 1-8
DOI: 10.48596/pgn.rfus5p1-8.nainital-aries.p251s1
title: Pandora 251s1 direct sun HCHO total vertical column amount at Nainital-ARIES; Processing Code: fus5; Processor Version: 1-8
DOI: 10.48596/pgn.rnvs3p1-8.nainital-aries.p251s1
title: Pandora 251s1 direct sun NO2 total vertical column amount at Nainital-ARIES; Processing Code: nvs3; Processor Version: 1-8
DOI: 10.48596/pgn.rout2p1-8.nainital-aries.p251s1
title: Pandora 251s1 direct sun O3 total vertical column amount at Nainital-ARIES; Processing Code: out2; Processor Version: 1-8
DOI: 10.48596/pgn.rsus1p1-8.corpuschristitx.p258s1
title: Pandora 258s1 direct sun SO2 total vertical column amount at CorpusChristiTX; Processing Code: sus1; Processor Version: 1-8
DOI: 10.48596/pgn.rfus5p1-8.corpuschristitx.p258s1
title: Pandora 258s1 direct sun HCHO total vertical column amount at CorpusChristiTX; Processing Code: fus5; Processor Version: 1-8
DOI: 10.48596/pgn.rnvs3p1-8.corpuschristitx.p258s1
title: Pandora 258s1 direct sun NO2 total vertical column amount at CorpusChristiTX; Processing Code: nvs3; Processor Version: 1-8
DOI: 10.48596/pgn.rfus5p1-8.huntsvilleal.p66s1
title: Pandora 66s1 direct sun HCHO total vertical column amount at HuntsvilleAL; Processing Code: fus5; Processor Version: 1-8
DOI: 10.15468/dl.rptver
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Natural History Museum Aarhus Freshwater Collection",
 "Country is Croatia"
 ]
}

 The dataset includes 131 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028385-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7jzhr
title: Occurrence Download

description: A dataset containing 8686 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombax ceiba"
 ]
}

 The dataset includes 8686 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028383-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48596/pgn.rnvs3p1-8.huntsvilleal.p66s1
title: Pandora 66s1 direct sun NO2 total vertical column amount at HuntsvilleAL; Processing Code: nvs3; Processor Version: 1-8
DOI: 10.48596/pgn.rout2p1-8.huntsvilleal.p66s1
title: Pandora 66s1 direct sun O3 total vertical column amount at HuntsvilleAL; Processing Code: out2; Processor Version: 1-8
DOI: 10.48596/pgn.rfus5p1-8.queensny.p55s1
title: Pandora 55s1 direct sun HCHO total vertical column amount at QueensNY; Processing Code: fus5; Processor Version: 1-8
DOI: 10.15468/dl.fgrxru
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gazella marica",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 208 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028386-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48596/pgn.rnvs3p1-8.queensny.p55s1
title: Pandora 55s1 direct sun NO2 total vertical column amount at QueensNY; Processing Code: nvs3; Processor Version: 1-8
DOI: 10.48596/pgn.rsus1p1-8.chicagoil.p249s1
title: Pandora 249s1 direct sun SO2 total vertical column amount at ChicagoIL; Processing Code: sus1; Processor Version: 1-8
DOI: 10.48596/pgn.rfus5p1-8.chicagoil.p249s1
title: Pandora 249s1 direct sun HCHO total vertical column amount at ChicagoIL; Processing Code: fus5; Processor Version: 1-8
DOI: 10.6084/m9.figshare.30207388.v4
title: Sequencing data information of <i>Pseudomonas protegens </i>M4 and <i>Citrobacter braakii </i>M34.

description: This is a data note on the draft of genome sequences of two bacterial strains, namely <i>Pseudomonas protegens </i>M4 and <i>Citrobacter braakii</i> M34, which were isolated from the sunflower endosphere. The two bacterial strains are potential drought-tolerant and plant growth promoters. The genomic insights of their genomes revealed the presence of functional genes and secondary metabolites of agricultural importance essential for sustainable sunflower production.
DOI: 10.48596/pgn.rnvs3p1-8.chicagoil.p249s1
title: Pandora 249s1 direct sun NO2 total vertical column amount at ChicagoIL; Processing Code: nvs3; Processor Version: 1-8
DOI: 10.48596/pgn.rout2p1-8.chicagoil.p249s1
title: Pandora 249s1 direct sun O3 total vertical column amount at ChicagoIL; Processing Code: out2; Processor Version: 1-8
DOI: 10.48596/pgn.rwvt1p1-8.trollhaugen.p242s1
title: Pandora 242s1 direct sun H2O total vertical column amount at Trollhaugen; Processing Code: wvt1; Processor Version: 1-8
DOI: 10.48596/pgn.rsus1p1-8.trollhaugen.p242s1
title: Pandora 242s1 direct sun SO2 total vertical column amount at Trollhaugen; Processing Code: sus1; Processor Version: 1-8
DOI: 10.15468/dl.xn4njn
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Species observations during citizen science expeditions",
 "Country is Croatia"
 ]
}

 The dataset includes 163 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028387-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/68j4f5g9rf
title: Evaluación de las habilidades y actitudes de las personas en la búsqueda de empleo durante la pandemia Covid-19 en Colombia a través de indicadores estadísticos multivariantes

description: Objetivo: Esta investigación evalúa el desempeño para la búsqueda de empleo de los desempleados durante la pandemia Covid-19 en Cartagena - Colombia por medio de técnicas de control estadístico multivariante. Marco teórico: Como fundamentación teórica se abordaron temas como métricas de seis sigmas, indicadores de capacidad multivariantes, búsqueda empleo, habilidades y actitudes en la búsqueda de empleo. Resultados: De los resultados periódicos se puede observar que el nivel sigma de las criterios de búsqueda de empleo durante la pandemia fueron en orden de importancia: busco oportunidades para crecer como persona, con un rendimiento (Y) promedio de 98%, desarrollo mis habilidades con un rendimiento (Y) promedio de 98%, tengo cuidado de hacer las cosas bien, con rendimiento (Y) promedio de 98%, adquiero nuevas habilidades, con rendimiento (Y) promedio de 98%, investigo opciones antes de tomar una decisión, con un rendimiento (Y) promedio de 97%, Por ultimo está el criterio de observo las diferentes formas de hacer las cosas bien, con un rendimiento (Y) promedio de 97%.Conclusión:La valoración integral de 0,74 mostro un desempeño bueno para la búsqueda de empleo.
DOI: 10.5281/zenodo.17812071
title: Dataset for "Learning Visually Interpretable Oscillator Networks for Soft Continuum Robots from Video"

description: This dataset was used to learn visually interpretable oscillator networks in "Learning Visually Interpretable Oscillator Networks for Soft Continuum Robots from Video" (DOI: https://doi.org/10.48550/arXiv.2511.18322). Please cite this paper when using the dataset. The implementation of the visually interpretable oscillator networks and their training is published as a GitHub repository (https://github.com/UThenrik/visual_oscillators_for_SCR).

The dataset includes:



Pressure and video raw data of a soft pneumatic robot during dynamic planar movements based on step and oscillatory inputs

Data processing script for data loading, synchronization, subsampling and cropping

Processed data used for training of networks in the paper
DOI: 10.5281/zenodo.17812070
title: Dataset for "Learning Visually Interpretable Oscillator Networks for Soft Continuum Robots from Video"

description: This dataset was used to learn visually interpretable oscillator networks in "Learning Visually Interpretable Oscillator Networks for Soft Continuum Robots from Video" (DOI: https://doi.org/10.48550/arXiv.2511.18322). Please cite this paper when using the dataset. The implementation of the visually interpretable oscillator networks and their training is published as a GitHub repository (https://github.com/UThenrik/visual_oscillators_for_SCR).

The dataset includes:



Pressure and video raw data of a soft pneumatic robot during dynamic planar movements based on step and oscillatory inputs

Data processing script for data loading, synchronization, subsampling and cropping

Processed data used for training of networks in the paper
DOI: 10.15468/dl.x7x747
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is University of Texas, Biodiversity Center, Entomology Collection (UTIC)",
 "Geometry POLYGON((-97.17588 30.08275,-97.15701 30.08275,-97.15701 30.10232,-97.17588 30.10232,-97.17588 30.08275))",
 "TaxonKey is Temnothorax",
 "Year 2017-2025"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028388-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/sp2e86
title: PAN-00163624 - terra sigillata bowl type Drag. 37 (C-EG)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00163624&lt;/p&gt;
description: Modified: 2025-07-20T17:10:09+02:00
DOI: 10.17632/68j4f5g9rf.1
title: Evaluación de las habilidades y actitudes de las personas en la búsqueda de empleo durante la pandemia Covid-19 en Colombia a través de indicadores estadísticos multivariantes

description: Objetivo: Esta investigación evalúa el desempeño para la búsqueda de empleo de los desempleados durante la pandemia Covid-19 en Cartagena - Colombia por medio de técnicas de control estadístico multivariante. Marco teórico: Como fundamentación teórica se abordaron temas como métricas de seis sigmas, indicadores de capacidad multivariantes, búsqueda empleo, habilidades y actitudes en la búsqueda de empleo. Resultados: De los resultados periódicos se puede observar que el nivel sigma de las criterios de búsqueda de empleo durante la pandemia fueron en orden de importancia: busco oportunidades para crecer como persona, con un rendimiento (Y) promedio de 98%, desarrollo mis habilidades con un rendimiento (Y) promedio de 98%, tengo cuidado de hacer las cosas bien, con rendimiento (Y) promedio de 98%, adquiero nuevas habilidades, con rendimiento (Y) promedio de 98%, investigo opciones antes de tomar una decisión, con un rendimiento (Y) promedio de 97%, Por ultimo está el criterio de observo las diferentes formas de hacer las cosas bien, con un rendimiento (Y) promedio de 97%.Conclusión:La valoración integral de 0,74 mostro un desempeño bueno para la búsqueda de empleo.
DOI: 10.15468/dl.tvb4ua
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Geometry POLYGON ((-115.6786 34.69031, -115.6782 34.69049, -115.6778 34.69069, -115.6774 34.6909, -115.6771 34.69113, -115.6767 34.69138, -115.6764 34.69164, -115.676 34.69192, -115.6757 34.6922, -115.6755 34.6925, -115.6752 34.69282, -115.6749 34.69314, -115.6747 34.69347, -115.6745 34.69382, -115.6743 34.69417, -115.6742 34.69452, -115.674 34.69489, -115.6739 34.69526, -115.6738 34.69563, -115.6738 34.69601, -115.6737 34.69639, -115.6737 34.69677, -115.6737 34.69715, -115.6737 34.69754, -115.6738 34.69792, -115.6738 34.69829, -115.6739 34.69867, -115.6744 34.70033, -115.6746 34.7007, -115.6747 34.70106, -115.6749 34.70142, -115.6751 34.70177, -115.6753 34.70211, -115.6755 34.70244, -115.6758 34.70276, -115.676 34.70307, -115.6763 34.70336, -115.6766 34.70365, -115.677 34.70392, -115.6773 34.70417, -115.6777 34.70441, -115.6781 34.70464, -115.6784 34.70485, -115.6788 34.70504, -115.6793 34.70522, -115.6797 34.70537, -115.6801 34.70551, -115.6806 34.70563, -115.681 34.70574, -115.6815 34.70582, -115.6819 34.70588, -115.6824 34.70593, -115.6828 34.70595, -115.6833 34.70595, -115.6838 34.70594, -115.6842 34.7059, -115.6847 34.70585, -115.6851 34.70577, -115.6856 34.70568, -115.686 34.70557, -115.6865 34.70543, -115.6888 34.70467, -115.6892 34.70452, -115.6897 34.70435, -115.6901 34.70416, -115.6905 34.70396, -115.6909 34.70373, -115.6912 34.70349, -115.6916 34.70324, -115.6919 34.70297, -115.6922 34.70268, -115.6925 34.70239, -115.6928 34.70207, -115.6931 34.70175, -115.6933 34.70142, -115.6936 34.70108, -115.6937 34.70072, -115.6939 34.70036, -115.6941 34.7, -115.6942 34.69962, -115.6943 34.69925, -115.6944 34.69886, -115.6944 34.69848, -115.6945 34.69809, -115.6945 34.6977, -115.6945 34.69732, -115.6944 34.69693, -115.6943 34.69655, -115.6943 34.69617, -115.6941 34.69579, -115.694 34.69542, -115.6938 34.69506, -115.693 34.69342, -115.6928 34.69307, -115.6926 34.69273, -115.6924 34.69239, -115.6922 34.69207, -115.6919 34.69176, -115.6916 34.69146, -115.6913 34.69117, -115.691 34.6909, -115.6906 34.69064, -115.6903 34.69039, -115.6899 34.69016, -115.6895 34.68995, -115.6891 34.68975, -115.6887 34.68957, -115.6883 34.68941, -115.6879 34.68926, -115.6874 34.68914, -115.687 34.68903, -115.6865 34.68894, -115.6861 34.68887, -115.6856 34.68883, -115.6851 34.6888, -115.6847 34.68879, -115.6842 34.6888, -115.6838 34.68883, -115.6833 34.68888, -115.6828 34.68895, -115.6824 34.68903, -115.6819 34.68914, -115.6815 34.68927, -115.6811 34.68941, -115.679 34.69015, -115.6786 34.69031))",
 {
 "not" : {
 "TaxonKey" : [
 "is Plantae"
 ]
 }
 },
 {
 "not" : {
 "TaxonKey" : [
 "is Aves"
 ]
 }
 },
 "Year is greater than or equal to 1926",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 45 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028389-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17787417
title: A high-performance quantum memory for quantum interconnects_dataset of all figures
DOI: 10.48596/pgn.rfus5p1-8.trollhaugen.p242s1
title: Pandora 242s1 direct sun HCHO total vertical column amount at Trollhaugen; Processing Code: fus5; Processor Version: 1-8
DOI: 10.48596/pgn.rnvs3p1-8.trollhaugen.p242s1
title: Pandora 242s1 direct sun NO2 total vertical column amount at Trollhaugen; Processing Code: nvs3; Processor Version: 1-8
DOI: 10.48596/pgn.rnvh3p1-8.rome-sap.p117s1
title: Pandora 117s1 sky NO2 surface number density, partial and tropospheric column amount at Rome-SAP; Processing Code: nvh3; Processor Version: 1-8
DOI: 10.15468/dl.teefbe
title: Occurrence Download

description: A dataset listing the 1170 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mount Rainier National Park (USA) Vascular Plants"
 ]
}

 The dataset's 1170 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028376-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48596/pgn.rsus1p1-8.palau.p131s1
title: Pandora 131s1 direct sun SO2 total vertical column amount at Palau; Processing Code: sus1; Processor Version: 1-8
DOI: 10.15468/dl.ev5rjs
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bell Museum algae",
 "Country is Croatia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028391-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48596/pgn.rout2p1-8.palau.p131s1
title: Pandora 131s1 direct sun O3 total vertical column amount at Palau; Processing Code: out2; Processor Version: 1-8
DOI: 10.5281/zenodo.16948313
title: Electrocatalytic Water Oxidation with Cubane-Type Co(II) Complexes: Magnetic Susceptibility and AC Susceptibility Data Analysis

description: Overview

This Jupyter Lab notebook provides a comprehensive data analysis and visualization of magnetic susceptibility and alternating current (AC) susceptibility measurements for cubane-type Co(II) complexes, as studied in the article "Electrocatalytic Water Oxidation with Cubane-Type Co(II) Complexes". The notebook includes raw data processing, model fitting (Cole-Cole and Curie-Weiss laws), and publication-ready plots for both DC and AC magnetic susceptibility.

Key Features





Data Processing:



Loads and reshapes raw SQUID and AC susceptibility data.

Corrects for diamagnetic contributions and normalizes by molar quantity.





Model Fitting:



Cole-Cole model: Fits frequency-dependent AC susceptibility data to extract relaxation times (τ) and distribution parameters (α).

Curie-Weiss law: Fits inverse susceptibility data to determine Curie constants (C) and Weiss temperatures (θ).





Visualization:



Generates three-panel figures for:



Real (χ') and imaginary (χ") susceptibility vs. frequency.

Cole-Cole plots (real vs. imaginary susceptibility).

Inverse susceptibility vs. temperature (Curie-Weiss fits).



Uses LaTeX formatting for professional labels and viridis/Set1 colormaps for clarity.





Reproducibility:



All constants, models, and plotting parameters are explicitly defined.

Saved figures are high-resolution (300–600 DPI) and labeled for direct use in publications.





Outputs:



Fitted parameters (e.g., U, τ₀, C, θ) are printed and saved for further analysis.

Processed data files (e.g., Rxn66_AC_colecole_700G.dat) are generated for open access.




Intended Use

This notebook is designed for:



Researchers studying magnetic properties of Co(II) complexes in electrocatalysis.

Reproducibility and transparency in open science (e.g., Zenodo, Figshare, or institutional repositories).

Educational purposes in magnetic susceptibility analysis and data visualization.


Dependencies



Python 3.x

Libraries: numpy, matplotlib, scipy, pandas

Input files: Raw .dat or .ac.dat files from SQUID/AC susceptibility measurements.


License

[Specify your preferred open license, e.g., CC-BY 4.0 or MIT License for code.]
DOI: 10.5281/zenodo.16948314
title: Electrocatalytic Water Oxidation with Cubane-Type Co(II) Complexes: Magnetic Susceptibility and AC Susceptibility Data Analysis

description: Overview

This Jupyter Lab notebook provides a comprehensive data analysis and visualization of magnetic susceptibility and alternating current (AC) susceptibility measurements for cubane-type Co(II) complexes, as studied in the article "Electrocatalytic Water Oxidation with Cubane-Type Co(II) Complexes". The notebook includes raw data processing, model fitting (Cole-Cole and Curie-Weiss laws), and publication-ready plots for both DC and AC magnetic susceptibility.

Key Features





Data Processing:



Loads and reshapes raw SQUID and AC susceptibility data.

Corrects for diamagnetic contributions and normalizes by molar quantity.





Model Fitting:



Cole-Cole model: Fits frequency-dependent AC susceptibility data to extract relaxation times (τ) and distribution parameters (α).

Curie-Weiss law: Fits inverse susceptibility data to determine Curie constants (C) and Weiss temperatures (θ).





Visualization:



Generates three-panel figures for:



Real (χ') and imaginary (χ") susceptibility vs. frequency.

Cole-Cole plots (real vs. imaginary susceptibility).

Inverse susceptibility vs. temperature (Curie-Weiss fits).



Uses LaTeX formatting for professional labels and viridis/Set1 colormaps for clarity.





Reproducibility:



All constants, models, and plotting parameters are explicitly defined.

Saved figures are high-resolution (300–600 DPI) and labeled for direct use in publications.





Outputs:



Fitted parameters (e.g., U, τ₀, C, θ) are printed and saved for further analysis.

Processed data files (e.g., Rxn66_AC_colecole_700G.dat) are generated for open access.




Intended Use

This notebook is designed for:



Researchers studying magnetic properties of Co(II) complexes in electrocatalysis.

Reproducibility and transparency in open science (e.g., Zenodo, Figshare, or institutional repositories).

Educational purposes in magnetic susceptibility analysis and data visualization.


Dependencies



Python 3.x

Libraries: numpy, matplotlib, scipy, pandas

Input files: Raw .dat or .ac.dat files from SQUID/AC susceptibility measurements.


License

[Specify your preferred open license, e.g., CC-BY 4.0 or MIT License for code.]
DOI: 10.48596/pgn.rnvs3p1-8.palau.p131s1
title: Pandora 131s1 direct sun NO2 total vertical column amount at Palau; Processing Code: nvs3; Processor Version: 1-8
DOI: 10.48596/pgn.rfus5p1-8.palau.p131s1
title: Pandora 131s1 direct sun HCHO total vertical column amount at Palau; Processing Code: fus5; Processor Version: 1-8
DOI: 10.48596/pgn.rsus1p1-8.seoul-snu.p149s1
title: Pandora 149s1 direct sun SO2 total vertical column amount at Seoul-SNU; Processing Code: sus1; Processor Version: 1-8
DOI: 10.15468/dl.4cfzy6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ITA.15_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pilularia minuta"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028390-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.