cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fg5pwq
title: Occurrence Download

description: A dataset containing 38948 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Carya",
 "Year 1000-2025"
 ]
}

 The dataset includes 38948 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029318-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21242/12613.2021.00.00.1.1.0
title: Statistik der Sterbefälle 2021, On-Site, Version 0

description: Die von den deutschen Standesämtern erfassten Informationen zu Sterbefällen werden an die Statistischen Ämter der Länder elektronisch gemeldet und im Rahmen einer gemeinsamen Bundesstatistik dezentral aufbereitet. In dieser Statistik sind alle von einem deutschen Standesamt beurkundeten Sterbefälle erfasst, die sich in Deutschland im jeweiligen Berichtszeitraum ereignet haben. Dazu gehören auch in Deutschland nachbeurkundete Fälle, die sich im Ausland ereignet hatten. Nicht erfasst sind Sterbefälle in Deutschland, bei denen die verstorbene Person nicht zur Wohnbevölkerung Deutschlands zählte und Sterbefälle von Personen mit Wohnsitz in Deutschland, die im Ausland verstorben sind, der Sterbefall in Deutschland aber (im Berichtszeitraum) nicht nachbeurkundet wurde.
Für die Untersuchung demographisch relevanter Fragestellungen enthält die Statistik der Sterbefälle Merkmale wie das Datum des Sterbefalls, das Geschlecht und das Alter der verstorbenen Person. Neben diesen grundsätzlichen Merkmalen sind in der Statistik der Sterbefälle auch Informationen zu Geburts- und Sterbeort, Staatsangehörigkeit, Religion (bis 2013) und Familienstand der verstorbenen Person enthalten. In Fällen, in denen die verstorbene Person verheiratet war oder in einer Lebenspartnerschaft lebte, finden sich in der Statistik zusätzlich Angaben zum überlebenden Ehegatten oder Lebenspartner. Bis zum Berichtsjahr 2015 waren auch Informationen zur Todesursache enthalten, die aber – u. a. wegen qualitativer Mängel – nicht ausgewertet werden dürfen und ab dem Berichtsjahr 2014 im Forschungsdatenzentrum nicht mehr bereitgestellt werden. Die Merkmale der Todesursache werden im Rahmen der Todesursachenstatistik nachplausibilisiert. Auswertungen, die die Berücksichtigung dieser Merkmale erforderlich machen, müssen deshalb auf Grundlage der Mikrodaten dieser Erhebung durchgeführt werden.
Aufgrund der hohen Fallzahlen in dieser Vollerhebung eignet sich die Statistik der Sterbefälle auch für die Untersuchung von Teilpopulationen. Für Analysen, bei denen der räumliche Aspekt im Vordergrund steht, lassen sich regionalisierte Ergebnisse bis hinunter auf die Gemeindeebene (Wohnort) und Standesamtsbezirksebene (Ereignisort) erzeugen. Mit Einzeldaten dieser Statistik können Betrachtungen der Mortalität und deren Entwicklung für die gesamte Bevölkerung, aber auch für verschiedene Teilpopulationen oder einzelne Regionen Deutschlands durchgeführt werden.
DOI: 10.5281/zenodo.17192660
title: A High-Resolution Crop Parcel Dataset for Anhui Province, China (2024) - Part 1 of 2

description: Anhui Province is situated in a unique climatic transition zone in China, encompassing a wide array of agricultural systems. Accurate, high-resolution crop parcel (CP) data is the cornerstone for precision agriculture, enabling detailed crop monitoring, resource management, and informed policy-making. This dataset, presented in two parts, provides the first high-precision, large-scale crop parcel boundaries and their corresponding source imagery for the entirety of Anhui Province.

The dataset was developed using a novel, two-stage hierarchical deep learning framework detailed in the related publication, "PT-PEFT SAM: A Hierarchical Foundation Model Framework for Generalizable Agricultural and Crop Parcel Delineation". The imagery was generated by applying the GeoSR super-resolution model to Sentinel-2 data, resulting in high-fidelity 2m resolution images. These images were then processed by our framework to produce the final crop parcel boundaries.

Due to the total dataset size exceeding Zenodo's upload limits, the complete parcel and imagery data for Anhui Province has been divided into two corresponding parts. This data record contains Part 1 of 2. It includes the first compressed archive of vector parcel data (parcel_1.zip) and the corresponding 2-meter super-resolution imagery (image_1.rar).

 

Parcel data contains the vector parcel data in shapefile format. The files are organized and named according to the administrative divisions, following a "City_County" convention.

The second part of the dataset (parcel_2.zip and image_2.rar) is available in a separate data record, which can be accessed here: [https://zenodo.org/uploads/17218027].
DOI: 10.5281/zenodo.17218024
title: A High-Resolution Crop Parcel Dataset for Anhui Province, China (2024) - Part 1 of 2

description: Anhui Province is situated in a unique climatic transition zone in China, encompassing a wide array of agricultural systems. Accurate, high-resolution crop parcel (CP) data is the cornerstone for precision agriculture, enabling detailed crop monitoring, resource management, and informed policy-making. This dataset, presented in two parts, provides the first high-precision, large-scale crop parcel boundaries and their corresponding source imagery for the entirety of Anhui Province.

The dataset was developed using a novel, two-stage hierarchical deep learning framework detailed in the related publication, "PT-PEFT SAM: A Hierarchical Foundation Model Framework for Generalizable Agricultural and Crop Parcel Delineation". The imagery was generated by applying the GeoSR super-resolution model to Sentinel-2 data, resulting in high-fidelity 2m resolution images. These images were then processed by our framework to produce the final crop parcel boundaries.

Due to the total dataset size exceeding Zenodo's upload limits, the complete parcel and imagery data for Anhui Province has been divided into two corresponding parts. This data record contains Part 1 of 2. It includes the first compressed archive of vector parcel data (parcel_1.zip) and the corresponding 2-meter super-resolution imagery (image_1.rar).

 

Parcel data contains the vector parcel data in shapefile format. The files are organized and named according to the administrative divisions, following a "City_County" convention.

The second part of the dataset (parcel_2.zip and image_2.rar) is available in a separate data record, which can be accessed here: [https://zenodo.org/uploads/17218027].
DOI: 10.15468/dl.z6u42w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zosterops stenocricotus",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029319-250920141307145/datasets/export for details.
DOI: 10.21242/12613.2022.00.00.1.1.0
title: Statistik der Sterbefälle 2022, On-Site, Version 0

description: Die von den deutschen Standesämtern erfassten Informationen zu Sterbefällen werden an die Statistischen Ämter der Länder elektronisch gemeldet und im Rahmen einer gemeinsamen Bundesstatistik dezentral aufbereitet. In dieser Statistik sind alle von einem deutschen Standesamt beurkundeten Sterbefälle erfasst, die sich in Deutschland im jeweiligen Berichtszeitraum ereignet haben. Dazu gehören auch in Deutschland nachbeurkundete Fälle, die sich im Ausland ereignet hatten. Nicht erfasst sind Sterbefälle in Deutschland, bei denen die verstorbene Person nicht zur Wohnbevölkerung Deutschlands zählte und Sterbefälle von Personen mit Wohnsitz in Deutschland, die im Ausland verstorben sind, der Sterbefall in Deutschland aber (im Berichtszeitraum) nicht nachbeurkundet wurde.
Für die Untersuchung demographisch relevanter Fragestellungen enthält die Statistik der Sterbefälle Merkmale wie das Datum des Sterbefalls, das Geschlecht und das Alter der verstorbenen Person. Neben diesen grundsätzlichen Merkmalen sind in der Statistik der Sterbefälle auch Informationen zu Geburts- und Sterbeort, Staatsangehörigkeit, Religion (bis 2013) und Familienstand der verstorbenen Person enthalten. In Fällen, in denen die verstorbene Person verheiratet war oder in einer Lebenspartnerschaft lebte, finden sich in der Statistik zusätzlich Angaben zum überlebenden Ehegatten oder Lebenspartner. Bis zum Berichtsjahr 2015 waren auch Informationen zur Todesursache enthalten, die aber – u. a. wegen qualitativer Mängel – nicht ausgewertet werden dürfen und ab dem Berichtsjahr 2014 im Forschungsdatenzentrum nicht mehr bereitgestellt werden. Die Merkmale der Todesursache werden im Rahmen der Todesursachenstatistik nachplausibilisiert. Auswertungen, die die Berücksichtigung dieser Merkmale erforderlich machen, müssen deshalb auf Grundlage der Mikrodaten dieser Erhebung durchgeführt werden.
Aufgrund der hohen Fallzahlen in dieser Vollerhebung eignet sich die Statistik der Sterbefälle auch für die Untersuchung von Teilpopulationen. Für Analysen, bei denen der räumliche Aspekt im Vordergrund steht, lassen sich regionalisierte Ergebnisse bis hinunter auf die Gemeindeebene (Wohnort) und Standesamtsbezirksebene (Ereignisort) erzeugen. Mit Einzeldaten dieser Statistik können Betrachtungen der Mortalität und deren Entwicklung für die gesamte Bevölkerung, aber auch für verschiedene Teilpopulationen oder einzelne Regionen Deutschlands durchgeführt werden.
DOI: 10.15468/dl.hp7kvz
title: Occurrence Download

description: A dataset containing 7219 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Dianthus arenarius)"
 ]
}

 The dataset includes 7219 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029320-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17225012
title: Intention to adopt Agroecological Weed Management practices

description: The database includes survey data from 406 farmers across eight countries in Europe (Greece, Cyprus, Italy, Spain, Portugal, Serbia, Latvia and Nethrland) collected through 16 Living Labs involved in farming activities on the following crops: apple, grapes, plum, cherry, citrus, legumes, maize, olives, onion, rice, rye, peas, soybean, triticale and winter wheat. Information on activity, farm and owner are collected, togheter with intention to reduce erbicides and apply agroecological weed management practices before and after an informative nudge. The dataset and the related results are in partial fullfillment of Deliverable 6.1 of the GOOD - Agroecology for Weeds project.
DOI: 10.5281/zenodo.17225013
title: Intention to adopt Agroecological Weed Management practices

description: The database includes survey data from 406 farmers across eight countries in Europe (Greece, Cyprus, Italy, Spain, Portugal, Serbia, Latvia and Nethrland) collected through 16 Living Labs involved in farming activities on the following crops: apple, grapes, plum, cherry, citrus, legumes, maize, olives, onion, rice, rye, peas, soybean, triticale and winter wheat. Information on activity, farm and owner are collected, togheter with intention to reduce erbicides and apply agroecological weed management practices before and after an informative nudge. The dataset and the related results are in partial fullfillment of Deliverable 6.1 of the GOOD - Agroecology for Weeds project.
DOI: 10.15468/dl.d97znb
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nitzschia intermedia",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 78 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029322-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zt6vu
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Verbascum lychnitis",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029325-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5y7ss
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Verbascum lychnitis",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 57 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029326-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdcxzw
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Verbascum lychnitis",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029328-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17225082
title: Crosscap states and duality of Ising field theory in two dimensions

description: This dataset accompanies the article titled 'Crosscap states and duality of Ising field theory in two dimensions.' It contains all crosscap overlap data for the transverse field Ising chain with a longitudinal field and the three-state clock model presented in the Supplemental Material.
DOI: 10.5281/zenodo.17225083
title: Crosscap states and duality of Ising field theory in two dimensions

description: This dataset accompanies the article titled 'Crosscap states and duality of Ising field theory in two dimensions.' It contains all crosscap overlap data for the transverse field Ising chain with a longitudinal field and the three-state clock model presented in the Supplemental Material.
DOI: 10.15468/dl.mft33b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zosterops stuhlmanni",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029327-250920141307145/datasets/export for details.
DOI: 10.23668/psycharchives.21270
title: Gendered eating: Can gender role orientations explain gender differences in healthy eating?

description: Although gender differences in healthy eating have been documented, with women generally adhering to healthier diets, the underlying mechanisms are not fully understood. Therefore, the current study investigated whether gender role orientations (i.e., an individual’s identification with certain characteristics that are traditionally associated with femininity and masculinity) mediate the relation between gender and healthy eating as well as with its antecedents according to the Health Action Process Approach (i.e., risk perception, outcome expectancies, self-efficacy, and intention). In total, 825 participants engaged in a pre-registered, cross-sectional online survey. Both feminine and masculine gender role orientations were positively associated with healthy eating and its antecedents – except masculinity for risk perception – and mediated their relation with gender accordingly. The results challenge the previous assumption, that masculinity is detrimental to healthy eating and highlight the potential for leveraging both – femininity- and masculinity-related aspects in designing gender-sensitive health interventions.
DOI: 10.15468/dl.azpk76
title: Occurrence Download

description: A dataset containing 62037 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tortrix viridana"
 ]
}

 The dataset includes 62037 records from 383 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029271-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8sbneb
title: Occurrence Download

description: A dataset containing 118560 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.HKG",
 "OccurrenceStatus is Present",
 "TaxonKey is Passeriformes",
 "Year 2023-2023"
 ]
}

 The dataset includes 118560 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029241-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7y33a
title: Occurrence Download

description: A dataset containing 3698345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mergus serrator)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 3698345 records from 533 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029272-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28617030
title: A multifaceted approach to novel (E)-3-(4-bromobenzylidene)-1,8-naphthyridine-2,4(1H,3H)-dione: synthesis, biological screening, DFT and molecular docking studies

description: A novel (E)-3-(4-bromobenzylidene)-1,8-naphthyridine-2,4(<i>1H,3H</i>)-dione derivative was synthesized and evaluated for its anticancer potential. The chemical formula and structure of the synthesized derivative was obtained using different spectroscopic techniques. Molecular structure optimization of the synthesized compound was performed using B3LYP/6–311++G (d,p) level of theory. The UV–Vis spectrum showed strong charge transfer transitions (π–π*) with high extinction coefficient (0.9869). The NBO analysis showed orbital overlap between π (C<sub>2</sub>-N<sub>11</sub>) and π*(C<sub>3</sub>-C<sub>4</sub>) due to the intramolecular charge transfer. The first hyperpolarizability (<i>β<sub>0</sub>)</i> was found to be 47.074 × 10<sup>−30</sup>esu, showed that the molecule can be a better option for NLO applications as compared to the standard reference urea. The global reactivity descriptors were also correlated with the biological properties of the compound. The moderate activity against HeLa cell line of the synthesized compound was reflected from its IC<sub>50</sub> value (230 μM), QTAIM framework and Reduced Density Gradient were used to describe the nature of various intermolecular interactions and showed two closed-shell interactions (O<sub>13</sub> – H<sub>18</sub> and O<sub>15</sub> – H<sub>23</sub>) with calculated bond energies of −5.0828 kJ/mol and −6.1495 kJ/mol, respectively. The reactivity sites were identified by mapping the electron density into Molecular Electrostatic Potential (MEP) and indicated that in the molecule the most electrophilic sites are the nitrogen of NH and phenyl ring. Docking studies were performed to examine binding sites of the titled molecule and the total binding energy and inhibition constant of compound were found to be −7.89 Kcal/mol and 1.65 µM exhibiting good binding affinity with the protein HER2 kinase. The bioactivity scores indicated drug-likeness of the synthesized molecule. Naphthyridine-2,4-dione derivative (<b>3</b>) was synthesized.The synthesized molecule was evaluated by various spectroscopic techniques.DFT studies of the compound <b>3</b> were done.The compound <b>3</b> exhibited moderate activity against HeLa cell line.Potential of the synthesized molecule was assessed by molecular docking & ADMET. Naphthyridine-2,4-dione derivative (<b>3</b>) was synthesized. The synthesized molecule was evaluated by various spectroscopic techniques. DFT studies of the compound <b>3</b> were done. The compound <b>3</b> exhibited moderate activity against HeLa cell line. Potential of the synthesized molecule was assessed by molecular docking & ADMET.
DOI: 10.6084/m9.figshare.28617030.v1
title: A multifaceted approach to novel (E)-3-(4-bromobenzylidene)-1,8-naphthyridine-2,4(1H,3H)-dione: synthesis, biological screening, DFT and molecular docking studies

description: A novel (E)-3-(4-bromobenzylidene)-1,8-naphthyridine-2,4(<i>1H,3H</i>)-dione derivative was synthesized and evaluated for its anticancer potential. The chemical formula and structure of the synthesized derivative was obtained using different spectroscopic techniques. Molecular structure optimization of the synthesized compound was performed using B3LYP/6–311++G (d,p) level of theory. The UV–Vis spectrum showed strong charge transfer transitions (π–π*) with high extinction coefficient (0.9869). The NBO analysis showed orbital overlap between π (C<sub>2</sub>-N<sub>11</sub>) and π*(C<sub>3</sub>-C<sub>4</sub>) due to the intramolecular charge transfer. The first hyperpolarizability (<i>β<sub>0</sub>)</i> was found to be 47.074 × 10<sup>−30</sup>esu, showed that the molecule can be a better option for NLO applications as compared to the standard reference urea. The global reactivity descriptors were also correlated with the biological properties of the compound. The moderate activity against HeLa cell line of the synthesized compound was reflected from its IC<sub>50</sub> value (230 μM), QTAIM framework and Reduced Density Gradient were used to describe the nature of various intermolecular interactions and showed two closed-shell interactions (O<sub>13</sub> – H<sub>18</sub> and O<sub>15</sub> – H<sub>23</sub>) with calculated bond energies of −5.0828 kJ/mol and −6.1495 kJ/mol, respectively. The reactivity sites were identified by mapping the electron density into Molecular Electrostatic Potential (MEP) and indicated that in the molecule the most electrophilic sites are the nitrogen of NH and phenyl ring. Docking studies were performed to examine binding sites of the titled molecule and the total binding energy and inhibition constant of compound were found to be −7.89 Kcal/mol and 1.65 µM exhibiting good binding affinity with the protein HER2 kinase. The bioactivity scores indicated drug-likeness of the synthesized molecule. Naphthyridine-2,4-dione derivative (<b>3</b>) was synthesized.The synthesized molecule was evaluated by various spectroscopic techniques.DFT studies of the compound <b>3</b> were done.The compound <b>3</b> exhibited moderate activity against HeLa cell line.Potential of the synthesized molecule was assessed by molecular docking & ADMET. Naphthyridine-2,4-dione derivative (<b>3</b>) was synthesized. The synthesized molecule was evaluated by various spectroscopic techniques. DFT studies of the compound <b>3</b> were done. The compound <b>3</b> exhibited moderate activity against HeLa cell line. Potential of the synthesized molecule was assessed by molecular docking & ADMET.