cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17374974
title: НОРМАЛИЗАЦИЯ ШКАЛЫ ИНТЕНСИВНОСТИ УЧЕБНЫХ ЗАНЯТИЙ В АНАЛИТИЧЕСКОМ МЕТОДЕ КОНТРОЛЯ ОБРАЗОВАНИЯ
title: NORMALIZATION OF LEARNING INTENSITY SCALE IN THE ANALYTICAL METHOD OF EDUCATION CONTROL

description: Нормализация шкалы интенсивности учебных занятий в Аналитическом методе контроля образования (АМКО)

ОПИСАНИЕНабор данных содержит статью  и программную реализацию алгоритма нормализации интенсивности учебных занятий в абсолютную 20-балльную шкалу АМКО. Метод устраняет контекстную зависимость показателей концентрации внимания учащихся, обеспечивая сопоставимость данных между различными учебными дисциплинами и возрастными группами.

СОСТАВ НАБОРА ДАННЫХ

- Научная статья с описанием методологии и результатов- AMKO_Intensity_Converter.py - основной модуль конвертации интенсивности занятий- AMKO_Intensity_Reference_Data_1995-2005_Statistical_Baseline_v1.0.xlsx - эталонные данные интенсивности- AMKO_Intensity_Model_Comparison_Demo_v1.py - демонстрационный модуль сравнения моделей- Демонстрационные наборы данных для тестирования

МЕТОДОЛОГИЯАлгоритм основан на кусочно-линейном преобразовании с использованием статистического эталона, построенного на данных 46 631 случая преподавания. Поддерживаются основные учебные предметы для 5-11 классов.

КЛЮЧЕВЫЕ СЛОВААналитический метод контроля образования, АМКО, нормализация данных, интенсивность учебных занятий, концентрация внимания, абсолютная шкала измерений, Python, машинное обучение в образовании

ЛИЦЕНЗИЯCreative Commons Attribution 4.0 International
description: Normalization of Learning Intensity Scale in the Analytical Method of Education Control (AMEC)

DESCRIPTIONThe dataset contains a scientific article and software implementation of an algorithm for normalizing learning intensity into the absolute 20-point AMEC scale. The method eliminates contextual dependence of student attention concentration indicators, ensuring data comparability across different academic disciplines and age groups.

DATASET COMPOSITION

- Scientific article describing methodology and results- AMKO_Intensity_Converter.py - main learning intensity conversion module- AMKO_Intensity_Reference_Data_1995-2005_Statistical_Baseline_v1.0.xlsx - reference intensity data- AMKO_Intensity_Model_Comparison_Demo_v1.py - demonstration module for model comparison- Demonstration datasets for testing

METHODOLOGYThe algorithm is based on piecewise-linear transformation using a statistical standard built on data from 46,631 teaching cases. Supports main academic subjects for grades 5-11.

KEYWORDSAnalytical Method of Education Control, AMEC, data normalization, learning intensity, attention concentration, absolute measurement scale, Python, machine learning in education

LICENSECreative Commons Attribution 4.0 International
DOI: 10.5281/zenodo.17374975
title: НОРМАЛИЗАЦИЯ ШКАЛЫ ИНТЕНСИВНОСТИ УЧЕБНЫХ ЗАНЯТИЙ В АНАЛИТИЧЕСКОМ МЕТОДЕ КОНТРОЛЯ ОБРАЗОВАНИЯ
title: NORMALIZATION OF LEARNING INTENSITY SCALE IN THE ANALYTICAL METHOD OF EDUCATION CONTROL

description: Нормализация шкалы интенсивности учебных занятий в Аналитическом методе контроля образования (АМКО)

ОПИСАНИЕНабор данных содержит статью  и программную реализацию алгоритма нормализации интенсивности учебных занятий в абсолютную 20-балльную шкалу АМКО. Метод устраняет контекстную зависимость показателей концентрации внимания учащихся, обеспечивая сопоставимость данных между различными учебными дисциплинами и возрастными группами.

СОСТАВ НАБОРА ДАННЫХ

- Научная статья с описанием методологии и результатов- AMKO_Intensity_Converter.py - основной модуль конвертации интенсивности занятий- AMKO_Intensity_Reference_Data_1995-2005_Statistical_Baseline_v1.0.xlsx - эталонные данные интенсивности- AMKO_Intensity_Model_Comparison_Demo_v1.py - демонстрационный модуль сравнения моделей- Демонстрационные наборы данных для тестирования

МЕТОДОЛОГИЯАлгоритм основан на кусочно-линейном преобразовании с использованием статистического эталона, построенного на данных 46 631 случая преподавания. Поддерживаются основные учебные предметы для 5-11 классов.

КЛЮЧЕВЫЕ СЛОВААналитический метод контроля образования, АМКО, нормализация данных, интенсивность учебных занятий, концентрация внимания, абсолютная шкала измерений, Python, машинное обучение в образовании

ЛИЦЕНЗИЯCreative Commons Attribution 4.0 International
description: Normalization of Learning Intensity Scale in the Analytical Method of Education Control (AMEC)

DESCRIPTIONThe dataset contains a scientific article and software implementation of an algorithm for normalizing learning intensity into the absolute 20-point AMEC scale. The method eliminates contextual dependence of student attention concentration indicators, ensuring data comparability across different academic disciplines and age groups.

DATASET COMPOSITION

- Scientific article describing methodology and results- AMKO_Intensity_Converter.py - main learning intensity conversion module- AMKO_Intensity_Reference_Data_1995-2005_Statistical_Baseline_v1.0.xlsx - reference intensity data- AMKO_Intensity_Model_Comparison_Demo_v1.py - demonstration module for model comparison- Demonstration datasets for testing

METHODOLOGYThe algorithm is based on piecewise-linear transformation using a statistical standard built on data from 46,631 teaching cases. Supports main academic subjects for grades 5-11.

KEYWORDSAnalytical Method of Education Control, AMEC, data normalization, learning intensity, attention concentration, absolute measurement scale, Python, machine learning in education

LICENSECreative Commons Attribution 4.0 International
DOI: 10.3535/12w-4f3-wef
title: Agrostis stolonifera L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/4cs-e75-90s
title: Calamintha podolica Błocki

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/lnv-jhg-jkd
title: Setaria scabrifolia (Nees) Kunth

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.13140/rg.2.2.12153.16485
title: [BSN] Boletín Solo Negocios 14/02/18
DOI: 10.3535/9rs-02f-vgn
title: Setaria scandens Schrad.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/l13-0rm-1n6
title: Elymus L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/g7d-3ar-cc3
title: Panicum pungens Trin.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/ljn-k00-p04
title: Ouratea hexasperma (A. St.-Hil.) Baill.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/vzy-e7b-vpf
title: Sorghastrum scaberrimum (Nees) Herter

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/5y3-rk8-lzy
title: Panicum procurrens Nees ex Trin.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/hjr-v4y-pwm
title: Panicum repens L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/nk3-f5e-1x5
title: Cybianthus reticulatus (Benth. ex Miq.) G. Agostini

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.rybst3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kali turgidum",
 "HasCoordinate is true",
 "Country is Namibia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029801-251009101135966/datasets/export for details.
DOI: 10.3535/dj8-ewn-crv
title: Panicum pilosum Sw.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/h3c-kzx-px8
title: Cybianthus guyanensis (A. DC.) Miq.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/qw9-pqm-vhk
title: Panicum pilosum Sw.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.v4wvdy
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Leopardus braccatus (Cope, 1889))"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011069-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xb2axy
title: Occurrence Download

description: A dataset containing 1871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Fossil)",
 "Geometry POLYGON((118.10028 28.71918,149.41658 28.64086,149.23905 48.74422,118.02943 48.99388,118.10028 28.71918))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hydrangea hirta (Thunb.) Siebold"
 ]
}

 The dataset includes 1871 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011100-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.14569
title: Brazilian Atmospheric Inventories - BRAIN version 2: meteorology dataset in Southern Brazil - 2020
title: Brazilian Atmospheric Inventories - BRAIN version 2: meteorology dataset in Southern Brazil - 2020

description: We provide hourly meteorology data derived from Weather and Research Forecasting model from 2019 in Southern Brazil. WRF has been set up to reproduce 36 hours simulations, where the initial 12 hours have been dedicated to model stabilization, which are excluded from the analysis. Thirty-three vertical levels have been employed, spaced at 50 hPa intervals. The parameterizations used in this work are described in SM3. The remaining vertical levels followed a hybrid modeling scheme, accounting for terrain in the lower layers and gradually minimizing its influence in the higher levels. SM4 details all variables in WRF outputs.Global Forecast System (GFS) from the National Center for Atmospheric Research (NCAR) provided inputs with spatial resolution of 0.25° x 0.25° and a temporal resolution of six hours for the WRF simulations (Skamarock et al., 2008). Land use data and classification parameters from the United States Geological Survey's (USGS) Moderate Resolution Imaging Spectroradiometer (MODIS).Details of the modeling domains can be found in SM1. In the present dataset, we provide data from d02, Files are in netCDF format with 4x4km of spatial resolution and hourly temporal resolution, covering the Southern Brazilian territory. Data are divided by day from 2020.
description: We provide hourly meteorology data derived from Weather and Research Forecasting model from 2019 in Southern Brazil. WRF has been set up to reproduce 36 hours simulations, where the initial 12 hours have been dedicated to model stabilization, which are excluded from the analysis. Thirty-three vertical levels have been employed, spaced at 50 hPa intervals. The parameterizations used in this work are described in SM3. The remaining vertical levels followed a hybrid modeling scheme, accounting for terrain in the lower layers and gradually minimizing its influence in the higher levels. SM4 details all variables in WRF outputs.Global Forecast System (GFS) from the National Center for Atmospheric Research (NCAR) provided inputs with spatial resolution of 0.25° x 0.25° and a temporal resolution of six hours for the WRF simulations (Skamarock et al., 2008). Land use data and classification parameters from the United States Geological Survey's (USGS) Moderate Resolution Imaging Spectroradiometer (MODIS).Details of the modeling domains can be found in SM1. In the present dataset, we provide data from d02, Files are in netCDF format with 4x4km of spatial resolution and hourly temporal resolution, covering the Southern Brazilian territory. Data are divided by day from 2020.
DOI: 10.15468/dl.6h93g4
title: Occurrence Download

description: A dataset listing the 474188 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((63.8044 -2.97739,180.47614 -2.97739,180.47614 68.3355,63.8044 68.3355,63.8044 -2.97739))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 474188 records were derived from 6960 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0137532-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15155856
title: Tab. 1 in Die Gallische Feldwespe Polistes gallicus (Linnaeus, 1767) nun auch in Basel (Hymenoptera: Vespidae)

description: Tab. 1. Liste der im stillgelegten Badischen Rangierbahnhof der DB (BS, Basel) am 15.8.2017 gefundenen Stechwespen (Hymenoptera: Aculeata, nec Apidae). Als «neu seit 1995» sind 16 Arten angekreuzt, die in den Listen von Burckhardt et al. (2003) und Neumeyer (2000, 2003) nicht aufgeführt sind.
FamilieArt, AutorAnzahl ♀ ♂neu seit 1995ChrysididaeChrysis scutellaris Fabricius, 17942 1xCrabronidaeEctemnius continuus (Fabricius, 1804)1CrabronidaeEctemnius dives (Lepeletier & Brullé, 1834)2CrabronidaeEctemnius fossorius (Linnaeus, 1758)1xCrabronidaeLindenius albilabris (Fabricius, 1793)1xCrabronidaeOxybelus variegatus Wesmael, 18521xCrabronidaeCerceris rybyensis (Linnaeus, 1771)2xCrabronidaeCerceris sabulosa (Panzer, 1799)2 1xCrabronidaePhilanthus triangulum (Fabricius, 1775)1 2PompilidaeAporus unicolor Spinola, 18081xPompilidaeArachnospila minutula (Dahlbom, 1842)1xSphecidaeAmmophila sabulosa (Linnaeus, 1758)1xSphecidaeSceliphron caementarium (Drury, 1770)1xVespidaeAncistrocerus gazella (Panzer, 1798)4VespidaeAncistrocerus nigricornis (Curtis, 1826)1VespidaeAncistrocerus parietum (Linnaeus, 1758)1xVespidaeAncistrocerus trifasciatus (Müller, 1776)1xVespidaeEumenes coarctatus (Linnaeus, 1758)1xVespidaeEumenes sareptanus André, 18842VespidaeEumenes subpomiformis Blüthgen, 19381xVespidaePolistes dominula (Christ, 1791)1 1VespidaePolistes gallicus (Linnaeus, 1767)4 1xVespidaePolistes nimpha (Christ, 1791)1x16
description: Published as part of Neumeyer, Rainer, 2018, Die Gallische Feldwespe Polistes gallicus (Linnaeus, 1767) nun auch in Basel (Hymenoptera: Vespidae), pp. 147 in Entomo Helvetica 11 on page 147, DOI: 10.5169/seals-986031, http://zenodo.org/record/8043578
DOI: 10.5281/zenodo.15155857
title: Table 1 1 H in Norlignans as potent GLP- 1 secretagogues from the fruits of Amomum villosum

description: Table 1 1 H NMR (600 MHz) data of compounds 1–4 (δ in ppm, J in Hz).
No.1 a2 a3 a4b26.68 s6.74 s6.97 d (1.9)6.52 s5––6.76 d (8.1)–66.68 s6.74 s6.82 dd (8.1,6.52 s1.9)74.544.98 dd (8.8, 2.4)4.59 d (7.6)4.49 d (7.9)d (7.9)8a4.08 m3.94 dd (11.3,4.03 m4.05 m8.8)8b–4.33 dd (11.3,––2.4)91.24–1.06 d (6.3)1.19 d (6.2)d (6.4)1′–––6.75 t (8.2)2′6.41 s6.40 s6.52 s6.57 dd (8.2,1.4)6′6.37 s6.40 s6.52 s6.47 dd (8.2,1.4)7′2.23 s2.24 s2.31 s–3-OMe3.86 s3.85 s3.84 s3.85 s4-OMe––3.84 s–5-OMe3.86 s3.85 s–3.85 s3′-3.82 s3.80 s3.83 s3.84 sOMe
a Recorded in CD3OD.
b Recorded in CDCl3.
description: Published as part of Ding, Min, Wu, Sheng-Li, Hu, Jing, He, Xiao-Feng, Huang, Xiao-Yan, Li, Tian-Ze, Ma, Yun-Bao, Zhang, Xue-Mei & Geng, Chang-An, 2022, Norlignans as potent GLP- 1 secretagogues from the fruits of Amomum villosum, pp. 2 in Phytochemistry (113204) 199 on page 2, DOI: 10.1016/j.phytochem.2022.113204, http://zenodo.org/record/8235444
DOI: 10.5281/zenodo.15155858
title: Table 1 1 H in Norlignans as potent GLP- 1 secretagogues from the fruits of Amomum villosum

description: Table 1 1 H NMR (600 MHz) data of compounds 1–4 (δ in ppm, J in Hz).
No.1 a2 a3 a4b26.68 s6.74 s6.97 d (1.9)6.52 s5––6.76 d (8.1)–66.68 s6.74 s6.82 dd (8.1,6.52 s1.9)74.544.98 dd (8.8, 2.4)4.59 d (7.6)4.49 d (7.9)d (7.9)8a4.08 m3.94 dd (11.3,4.03 m4.05 m8.8)8b–4.33 dd (11.3,––2.4)91.24–1.06 d (6.3)1.19 d (6.2)d (6.4)1′–––6.75 t (8.2)2′6.41 s6.40 s6.52 s6.57 dd (8.2,1.4)6′6.37 s6.40 s6.52 s6.47 dd (8.2,1.4)7′2.23 s2.24 s2.31 s–3-OMe3.86 s3.85 s3.84 s3.85 s4-OMe––3.84 s–5-OMe3.86 s3.85 s–3.85 s3′-3.82 s3.80 s3.83 s3.84 sOMe
a Recorded in CD3OD.
b Recorded in CDCl3.
description: Published as part of Ding, Min, Wu, Sheng-Li, Hu, Jing, He, Xiao-Feng, Huang, Xiao-Yan, Li, Tian-Ze, Ma, Yun-Bao, Zhang, Xue-Mei & Geng, Chang-An, 2022, Norlignans as potent GLP- 1 secretagogues from the fruits of Amomum villosum, pp. 2 in Phytochemistry (113204) 199 on page 2, DOI: 10.1016/j.phytochem.2022.113204, http://zenodo.org/record/8235444
DOI: 10.5281/zenodo.15155859
title: Table 2 13 C in Norlignans as potent GLP- 1 secretagogues from the fruits of Amomum villosum

description: Table 2 13 C NMR (150 MHz) data of compounds 1–4 (δ in ppm).
No.1 a2 a3 a4 b1129.4 C128.9 C133.6 C128.2 C2106.1 CH105.2 CH111.9 CH104.4 CH3149.6 C149.5 C147.5 C147.5 C4137.4 C137.1 C149.0 C135.5 C5149.6 C149.5 C116.0 CH147.5 C6106.1 CH105.2 CH121.4 CH104.4 CH782.6 CH76.7 CH79.8 CH81.3 CH875.5 CH70.5 CH286.4 CH74.5 CH917.6 CH3–17.5 CH317.6 CH31′131.3 C131.6 C135.7 C120.4 CH2′111.2 CH111.5 CH107.5 CH110.1 CH3′149.9 C150.1 C154.3 C149.0 C4′132.4 C132.0 C135.4 C133.4 C5′145.9 C145.7 C135.4 C144.9 C6′106.8 CH107.0 CH107.5 CH104.4 CH7′21.4 CH321.4 CH322.0 CH3–3-OMe57.0 CH357.0 CH356.5 CH356.6 CH34-OMe––56.7 CH3–5-OMe57.0 CH356.8 CH3–56.6 CH33′-OMe56.8 CH356.2 CH356.7 CH356.4 CH3
a Recorded in CD3OD.
b Recorded in CDCl3.
description: Published as part of Ding, Min, Wu, Sheng-Li, Hu, Jing, He, Xiao-Feng, Huang, Xiao-Yan, Li, Tian-Ze, Ma, Yun-Bao, Zhang, Xue-Mei & Geng, Chang-An, 2022, Norlignans as potent GLP- 1 secretagogues from the fruits of Amomum villosum, pp. 2 in Phytochemistry (113204) 199 on page 2, DOI: 10.1016/j.phytochem.2022.113204, http://zenodo.org/record/8235444
DOI: 10.5281/zenodo.15155860
title: Table 2 13 C in Norlignans as potent GLP- 1 secretagogues from the fruits of Amomum villosum

description: Table 2 13 C NMR (150 MHz) data of compounds 1–4 (δ in ppm).
No.1 a2 a3 a4 b1129.4 C128.9 C133.6 C128.2 C2106.1 CH105.2 CH111.9 CH104.4 CH3149.6 C149.5 C147.5 C147.5 C4137.4 C137.1 C149.0 C135.5 C5149.6 C149.5 C116.0 CH147.5 C6106.1 CH105.2 CH121.4 CH104.4 CH782.6 CH76.7 CH79.8 CH81.3 CH875.5 CH70.5 CH286.4 CH74.5 CH917.6 CH3–17.5 CH317.6 CH31′131.3 C131.6 C135.7 C120.4 CH2′111.2 CH111.5 CH107.5 CH110.1 CH3′149.9 C150.1 C154.3 C149.0 C4′132.4 C132.0 C135.4 C133.4 C5′145.9 C145.7 C135.4 C144.9 C6′106.8 CH107.0 CH107.5 CH104.4 CH7′21.4 CH321.4 CH322.0 CH3–3-OMe57.0 CH357.0 CH356.5 CH356.6 CH34-OMe––56.7 CH3–5-OMe57.0 CH356.8 CH3–56.6 CH33′-OMe56.8 CH356.2 CH356.7 CH356.4 CH3
a Recorded in CD3OD.
b Recorded in CDCl3.
description: Published as part of Ding, Min, Wu, Sheng-Li, Hu, Jing, He, Xiao-Feng, Huang, Xiao-Yan, Li, Tian-Ze, Ma, Yun-Bao, Zhang, Xue-Mei & Geng, Chang-An, 2022, Norlignans as potent GLP- 1 secretagogues from the fruits of Amomum villosum, pp. 2 in Phytochemistry (113204) 199 on page 2, DOI: 10.1016/j.phytochem.2022.113204, http://zenodo.org/record/8235444
DOI: 10.5281/zenodo.15155861
title: Table 3 in Norlignans as potent GLP- 1 secretagogues from the fruits of Amomum villosum

description: Table 3 The stimulative effects of fractions and compounds on GLP-1 secretion in STC-1 cells.
No.Stimulative ratio (%) a50 μ g/mL25 μ g/mL25.0 μ M12.5 μ MEtOH extract100.1 ±‒22.8 ±8.9//30.1EtOAc fraction273.9 ±156.2 ±//50.834.7amovillosumin A//375.1 ±166.9 ± 6.0(1)47.6amovillosumin B//222.7 ± 9.362.7 ± 10.0(2)amovillosumin C//‒24.3 ±‒24.9 ±(3)16.113.5amovillosumin D//‒18.7 ±‒28.3 ± 9.4(4)18.5OEA b//163.1 ± 6.6–
a Stimulative ratio was denoted as the increased percentage of GLP-1 content versus control group.
b Oleoylethanolamide (OEA) was used as the positive control.
description: Published as part of Ding, Min, Wu, Sheng-Li, Hu, Jing, He, Xiao-Feng, Huang, Xiao-Yan, Li, Tian-Ze, Ma, Yun-Bao, Zhang, Xue-Mei & Geng, Chang-An, 2022, Norlignans as potent GLP- 1 secretagogues from the fruits of Amomum villosum, pp. 7 in Phytochemistry (113204) 199 on page 7, DOI: 10.1016/j.phytochem.2022.113204, http://zenodo.org/record/8235444
DOI: 10.5281/zenodo.15155862
title: Table 3 in Norlignans as potent GLP- 1 secretagogues from the fruits of Amomum villosum

description: Table 3 The stimulative effects of fractions and compounds on GLP-1 secretion in STC-1 cells.
No.Stimulative ratio (%) a50 μ g/mL25 μ g/mL25.0 μ M12.5 μ MEtOH extract100.1 ±‒22.8 ±8.9//30.1EtOAc fraction273.9 ±156.2 ±//50.834.7amovillosumin A//375.1 ±166.9 ± 6.0(1)47.6amovillosumin B//222.7 ± 9.362.7 ± 10.0(2)amovillosumin C//‒24.3 ±‒24.9 ±(3)16.113.5amovillosumin D//‒18.7 ±‒28.3 ± 9.4(4)18.5OEA b//163.1 ± 6.6–
a Stimulative ratio was denoted as the increased percentage of GLP-1 content versus control group.
b Oleoylethanolamide (OEA) was used as the positive control.
description: Published as part of Ding, Min, Wu, Sheng-Li, Hu, Jing, He, Xiao-Feng, Huang, Xiao-Yan, Li, Tian-Ze, Ma, Yun-Bao, Zhang, Xue-Mei & Geng, Chang-An, 2022, Norlignans as potent GLP- 1 secretagogues from the fruits of Amomum villosum, pp. 7 in Phytochemistry (113204) 199 on page 7, DOI: 10.1016/j.phytochem.2022.113204, http://zenodo.org/record/8235444
DOI: 10.15468/dl.f4ypfh
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathyplectes infernalis (Gravenhorst, 1820)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 35 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006192-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15155867
title: TABLE 1 in Morphological ontogeny of Melanozetes meridianus (Acari, Oribatida, Ceratozetidae)

description: TABLE 1. Measurements of some morphological characters of juvenile stages of Melanozetes meridianus (mean measurements of 10 specimens in μm).
Morphological charactersLarvaProtonymphDeutonymphTritonymphAdultBody length208390423533590Body width158205267371389Length of prodorsum96115128138191Length of:seta ro2230374248seta le2534465258seta in46587888104seta bs4450535645seta c 116141830lostseta c 22417295455seta c 31519263566seta da1619234574seta dp2235435678seta la1013214064seta lp2025354588seta h 12125334872seta h 31217222958seta h 3820323551seta p 1not developed14161953genital openingnot developed33416175anal opening7180110138107
description: Published as part of Seniczak, Stanisław, Seniczak, Anna & Mistrzak, Marcin, 2024, Morphological ontogeny of Melanozetes meridianus (Acari, Oribatida, Ceratozetidae), pp. 166 in Zootaxa 5485 (1) on page 166, DOI: 10.11646/zootaxa.5485.1.12, http://zenodo.org/record/13209263
DOI: 10.5281/zenodo.15155870
title: TABLE 2 in Morphological ontogeny of Melanozetes meridianus (Acari, Oribatida, Ceratozetidae)

description: TABLE 2. Location of thickened setae on some leg segments of adults and tritonymphs of Melanozetes avachai, M. azoricus, M. interruptus, M. meridianus, M. paramollicomus, and M. stagnatilis; Fe—femur, Ge—genu, Ti—tibia.
Stage and speciesLeg ILeg IILeg IIILeg IVFeGeTiFeGeTiFeGeTiFeGeTiAdultM. avachai------d--d--M. azoricus-l”v”-l”v”------M. interruptus------------M. meridianusd, l’l”v”d, l’l”v”dl’l’dl’l’M. paramollicomus-l”l”-l”l”-l’l’-d, l’l’M. stagnatilis------------TritonymphM. avachaidl”-dl”l”dl’v’ddv’M. azoricus------dv’-ddv’M. interruptus------------M. meridianusd-(v)d-(v)d-l’v’dv’M. paramollicomusd(l)(l)d(l)(l)d, l’, ev’l’, v’l’d, ev’d, l’v’M. stagnatilis------------
description: Published as part of Seniczak, Stanisław, Seniczak, Anna & Mistrzak, Marcin, 2024, Morphological ontogeny of Melanozetes meridianus (Acari, Oribatida, Ceratozetidae), pp. 175 in Zootaxa 5485 (1) on page 175, DOI: 10.11646/zootaxa.5485.1.12, http://zenodo.org/record/13209263