cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18680583
title: Dataset: Air Quality Dataset for Multan (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Multan covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Multan, compare Multan with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.25625/ddj5c3/gcjdby
title: timepoint_decoding_memorability_2_mag-1.png
DOI: 10.25625/ddj5c3/krjdts
title: epoch_heatmap_fixation_4_early_11_binned_True_raw-1.png
DOI: 10.25625/ddj5c3/eyjlul
title: memorability_timepoint_decoding_with_baseline_mag-1.png
DOI: 10.25625/ddj5c3/pwxfgl
title: epoch_heatmap_saccade_4_early_71_binned_True_raw-1.png
DOI: 10.25625/ddj5c3/81vyfe
title: epoch_heatmap_saccade_4_mag_19_binned_True_raw-1.png
DOI: 10.25625/ddj5c3/mzaspi
title: memorability_decoder_csvs.tar.gz
DOI: 10.25625/ddj5c3/k9lter
title: as05_npys.tar.gz
DOI: 10.25625/ddj5c3/ic6pgk
title: as02_npys.tar.gz
DOI: 10.25625/ddj5c3/ud2ttd
title: as01_npys.tar.gz
DOI: 10.25625/ddj5c3/piltfd
title: as03_npys.tar.gz
DOI: 10.25625/ddj5c3/q8sift
title: as04_npys.tar.gz
DOI: 10.25625/ddj5c3/qy2d0t
title: source_data_csvs.tar.gz
DOI: 10.25625/ddj5c3/gouivr
title: source_data_csvs.tar.gz
DOI: 10.25625/ddj5c3/ryo0mx
title: pac_results_3_stc_saccade_3-8_40-140_0.15-0.4_['saccade', 'fixation', 'saccade_post', 'fixation_post']_single_cut_dursplit_300ms_offset_cleaned_chunks_csvs.tar.gz
DOI: 10.25625/ddj5c3/sbocjz
title: memorability_analysis_csvs.tar.gz
DOI: 10.25625/ddj5c3/fseda4
title: analysis_csvs.tar.gz
DOI: 10.25625/ddj5c3/br3vrn
title: source_data_csvs.tar.gz
DOI: 10.25625/ddj5c3/nkqfsz
title: source_data_csvs.tar.gz
DOI: 10.25625/ddj5c3/hg6pal
title: source_data_csvs.tar.gz
DOI: 10.25625/ddj5c3/ahe2c6
title: source_data_csvs.tar.gz
DOI: 10.25625/ddj5c3/jhjmu6
title: Alexnet_ecoset_csvs.tar.gz
DOI: 10.25625/ddj5c3/xqmxiu
title: source_data_csvs.tar.gz
DOI: 10.25625/ddj5c3/rbrg76
title: source_data_csvs.tar.gz
DOI: 10.25625/ddj5c3/8pesab
title: pac_results_2_stc_saccade_3-8_40-140_0.15-0.4_['saccade', 'fixation', 'saccade_post', 'fixation_post']_single_cut_dursplit_300ms_offset_cleaned_chunks_csvs.tar.gz
DOI: 10.25625/ddj5c3/vq75az
title: pac_results_5_stc_saccade_3-8_40-140_0.15-0.4_['saccade', 'fixation', 'saccade_post', 'fixation_post']_single_cut_dursplit_300ms_offset_cleaned_chunks_csvs.tar.gz
DOI: 10.25625/ddj5c3/rvsfds
title: source_data_csvs.tar.gz
DOI: 10.25625/ddj5c3/x6anso
title: source_data_csvs.tar.gz
DOI: 10.25625/ddj5c3/5onbrn
title: semantic_categories_csvs.tar.gz
DOI: 10.25625/ddj5c3/kutbqn
title: source_data_csvs.tar.gz
DOI: 10.25625/ddj5c3/auvbqf
title: pac_results_1_stc_saccade_3-8_40-140_0.15-0.4_['saccade', 'fixation', 'saccade_post', 'fixation_post']_single_cut_dursplit_300ms_offset_cleaned_chunks_csvs.tar.gz
DOI: 10.25625/ddj5c3/pnefhe
title: pac_results_4_stc_saccade_3-8_40-140_0.15-0.4_['saccade', 'fixation', 'saccade_post', 'fixation_post']_single_cut_dursplit_300ms_offset_cleaned_chunks_csvs.tar.gz
DOI: 10.25625/ddj5c3/gqgxxz
title: source_data_csvs.tar.gz
DOI: 10.25625/ddj5c3/lt8pkp
title: source_data_csvs.tar.gz
DOI: 10.25625/ddj5c3/9eidld
title: as05_npys.tar.gz
DOI: 10.25625/ddj5c3/4bujdc
title: as01_npys.tar.gz
DOI: 10.25625/ddj5c3/htfifk
title: as02_npys.tar.gz
DOI: 10.25625/ddj5c3/mo958d
title: as04_npys.tar.gz
DOI: 10.25625/ddj5c3/jcogfg
title: as03_npys.tar.gz
DOI: 10.25625/ddj5c3/c8bpvk
title: long_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/mapwy1
title: resnet50_ecoset_crop_csvs.tar.gz
DOI: 10.25625/ddj5c3/1o5w4h
title: Inception_ecoset_fc_npys.tar.gz
DOI: 10.25625/ddj5c3/l9ob46
title: VGG16_ecoset_classifier_6_npys.tar.gz
DOI: 10.25625/ddj5c3/j9apev
title: short_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/tustzl
title: short_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/zpqbtv
title: Inception_ecoset_fc_csvs.tar.gz
DOI: 10.25625/ddj5c3/ztefhw
title: saccade_amplitude_csvs.tar.gz
DOI: 10.25625/ddj5c3/dupthy
title: Alexnet_ecoset_csvs.tar.gz
DOI: 10.25625/ddj5c3/zbauml
title: et_csvs.tar.gz
DOI: 10.25625/ddj5c3/smozum
title: predictions_csvs.tar.gz
DOI: 10.25625/ddj5c3/xoyvys
title: Alexnet_ecoset_classifier_6_npys.tar.gz
DOI: 10.25625/ddj5c3/nfutsc
title: Alexnet_ecoset_csvs.tar.gz
DOI: 10.25625/ddj5c3/nxt8bd
title: network_comparison_csvs.tar.gz
DOI: 10.25625/ddj5c3/o9yreu
title: as04_csvs.tar.gz
DOI: 10.25625/ddj5c3/xwagrx
title: Alexnet_ecoset_classifier_6_npys.tar.gz
DOI: 10.5281/zenodo.18680576
title: DEVELOPING STUDENTS' CREATIVE ABILITIES BASED ON THE PEDAGOGICAL POWER OF THE DIGITAL EDUCATIONAL ENVIRONMENT (IN THE EXAMPLE OF TEACHING TECHNOLOGY)

description: The article analyzes the pedagogical potential of the digital learning environment and its potential for developing students' creative abilities in the process of teaching technology. The study highlights the issues of increasing students' creative thinking, independent decision-making, and interest in practical activities through the effective use of digital tools. It also substantiates the impact of pedagogical conditions created in the digital learning environment on educational effectiveness.
DOI: 10.25625/ddj5c3/9mgovz
title: memorability_scores_csvs.tar.gz
DOI: 10.5281/zenodo.18680575
title: DEVELOPING STUDENTS' CREATIVE ABILITIES BASED ON THE PEDAGOGICAL POWER OF THE DIGITAL EDUCATIONAL ENVIRONMENT (IN THE EXAMPLE OF TEACHING TECHNOLOGY)

description: The article analyzes the pedagogical potential of the digital learning environment and its potential for developing students' creative abilities in the process of teaching technology. The study highlights the issues of increasing students' creative thinking, independent decision-making, and interest in practical activities through the effective use of digital tools. It also substantiates the impact of pedagogical conditions created in the digital learning environment on educational effectiveness.
DOI: 10.25625/ddj5c3/0s23nl
title: as05_csvs.tar.gz
DOI: 10.25625/ddj5c3/3bqtbv
title: Inception_ecoset_fc_npys.tar.gz
DOI: 10.25625/ddj5c3/7vqyo6
title: memorability_decoder_npys.tar.gz
DOI: 10.25625/ddj5c3/6u3mdb
title: long_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/cnlmao
title: as02_csvs.tar.gz
DOI: 10.25625/ddj5c3/w7gelj
title: short_dur_npys.tar.gz
DOI: 10.15468/dl.tkh55x
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Sporobolus clandestinus"
 ]
}

 The dataset includes 531 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027099-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/ddj5c3/yxhkam
title: semantic_clusters_npys.tar.gz
DOI: 10.5281/zenodo.18680590
title: Dataset: Air Quality Dataset for Havana (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Havana covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Havana, compare Havana with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18680591
title: Dataset: Air Quality Dataset for Havana (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Havana covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Havana, compare Havana with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.25625/ddj5c3/mosbke
title: short_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/xzlqj9
title: VGG16_ecoset_classifier_6_csvs.tar.gz
DOI: 10.25625/ddj5c3/tdgqyz
title: Alexnet_ecoset_classifier_6_npys.tar.gz
DOI: 10.25625/ddj5c3/h8rgzj
title: as04_csvs.tar.gz
DOI: 10.25625/ddj5c3/hkvqww
title: long_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/kpykh4
title: as02_csvs.tar.gz
DOI: 10.25625/ddj5c3/92ivna
title: long_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/g0wucr
title: as01_csvs.tar.gz
DOI: 10.25625/ddj5c3/kai4g0
title: memorability_decoder_npys.tar.gz
DOI: 10.25625/ddj5c3/qoutct
title: as05_csvs.tar.gz
DOI: 10.25625/ddj5c3/2udpjc
title: VGG16_ecoset_classifier_6_npys.tar.gz
DOI: 10.25625/ddj5c3/c21nz0
title: long_dur_npys.tar.gz
DOI: 10.6084/m9.figshare.31361902
title: The results of gene perturbation analysis

description: The results of gene perturbation analysis.
DOI: 10.25625/ddj5c3/smm8ko
title: VGG16_ecoset_classifier_6_npys.tar.gz
DOI: 10.6084/m9.figshare.31361902.v1
title: The results of gene perturbation analysis

description: The results of gene perturbation analysis.
DOI: 10.25625/ddj5c3/anxz7r
title: Alexnet_ecoset_classifier_6_npys.tar.gz
DOI: 10.25625/ddj5c3/skdilc
title: Inception_ecoset_fc_npys.tar.gz
DOI: 10.25625/ddj5c3/aurnbe
title: sequence_position_analysis_csvs.tar.gz
DOI: 10.25625/ddj5c3/qp8y8b
title: short_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/eor1c7
title: VGG16_ecoset_classifier_6_npys.tar.gz
DOI: 10.25625/ddj5c3/xgigeq
title: short_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/trlhtf
title: Inception_ecoset_fc_csvs.tar.gz
DOI: 10.25625/ddj5c3/xmugam
title: as03_csvs.tar.gz
DOI: 10.25625/ddj5c3/t4xvz0
title: long_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/fh7stc
title: VGG16_ecoset_classifier_6_npys.tar.gz
DOI: 10.25625/ddj5c3/6edngq
title: Alexnet_ecoset_classifier_6_npys.tar.gz
DOI: 10.25625/ddj5c3/9kfa8t
title: short_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/vpc6xv
title: long_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/vokeap
title: as03_csvs.tar.gz
DOI: 10.25625/ddj5c3/etjrgb
title: long_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/1qosgt
title: semantic_clusters_csvs.tar.gz
DOI: 10.25625/ddj5c3/yyjhwv
title: saccade_amplitude_csvs.tar.gz
DOI: 10.25625/ddj5c3/tpxcol
title: as01_csvs.tar.gz
DOI: 10.25625/ddj5c3/weyruf
title: short_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/bocmgx
title: as04_csvs.tar.gz
DOI: 10.25625/ddj5c3/dnuami
title: long_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/lfpsyn
title: Inception_ecoset_fc_npys.tar.gz
DOI: 10.25625/ddj5c3/de1cfk
title: memorability_decoder_npys.tar.gz
DOI: 10.25625/ddj5c3/isbrm7
title: short_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/mfk1or
title: short_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/zqty82
title: Inception_ecoset_fc_npys.tar.gz
DOI: 10.25625/ddj5c3/mhroyb
title: long_dur_npys.tar.gz
DOI: 10.25625/ddj5c3/idxjew
title: alexnet_ecoset_crop_csvs.tar.gz
DOI: 10.25625/ddj5c3/mb02hn
title: memorability_decoder_npys.tar.gz
DOI: 10.25625/ddj5c3/m9yxvw
title: VGG16_ecoset_csvs.tar.gz
DOI: 10.25625/ddj5c3/hdjpax
title: Inception_ecoset_csvs.tar.gz
DOI: 10.25625/ddj5c3/i0ytc6
title: memorability_decoder_npys.tar.gz
DOI: 10.25625/ddj5c3/anvsmn
title: VGG16_ecoset_classifier_6_csvs.tar.gz
DOI: 10.25625/ddj5c3/zlk8dl
title: Inception_ecoset_fc_csvs.tar.gz
DOI: 10.25625/ddj5c3/40bhrd
title: VGG16_ecoset_classifier_6_csvs.tar.gz
DOI: 10.25625/ddj5c3/lwb741
title: VGG16_ecoset_classifier_6_csvs.tar.gz
DOI: 10.25625/ddj5c3/qlicjv
title: Inception_ecoset_fc_csvs.tar.gz
DOI: 10.25625/ddj5c3/solxa3
title: VGG16_ecoset_classifier_6_csvs.tar.gz
DOI: 10.15468/dl.xd9xvf
title: Occurrence Download

description: A dataset containing 201111 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is GUYASOILeDNA - Fungi ITS"
 ]
}

 The dataset includes 201111 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027083-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/ddj5c3/opnkog
title: Inception_ecoset_fc_csvs.tar.gz
DOI: 10.5281/zenodo.18680603
title: Dataset: Air Quality Dataset for Baotou (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Baotou covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Baotou, compare Baotou with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.25625/ddj5c3/2pjno5
title: Alexnet_ecoset_classifier_6_csvs.tar.gz
DOI: 10.25625/ddj5c3/obnbyg
title: Alexnet_ecoset_classifier_6_csvs.tar.gz
DOI: 10.25625/ddj5c3/wkdefb
title: Alexnet_ecoset_classifier_6_csvs.tar.gz
DOI: 10.5281/zenodo.18680602
title: Dataset: Air Quality Dataset for Baotou (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Baotou covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Baotou, compare Baotou with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.25625/ddj5c3/rp270u
title: memorability_decoder_csvs.tar.gz
DOI: 10.25625/ddj5c3/n0ojbd
title: memorability_decoder_csvs.tar.gz
DOI: 10.25625/ddj5c3/4lvfhv
title: Alexnet_ecoset_classifier_6_csvs.tar.gz
DOI: 10.25625/ddj5c3/nc5amx
title: memorability_decoder_csvs.tar.gz
DOI: 10.25625/ddj5c3/yfurfi
title: Alexnet_ecoset_classifier_6_csvs.tar.gz
DOI: 10.25625/ddj5c3/eilefv
title: memorability_decoder_csvs.tar.gz
DOI: 10.25625/ddj5c3
title: Data: Fixation duration on natural scenes is explained by memory encoding not processing demand

description: This dataset (AVS) contains derivative results of simultaneous magnetoencephalography (MEG), eye-tracking, and structural MRI recordings from 5 participants (3 female, 2 male; mean age = 27.8 years, SD = 2.6) performing a natural scene viewing task and verbal captioning task. The dataset is built upon scenes from the Natural Scenes Dataset (Allen et al., 2022), AVS captures the neural dynamics of fixation-locked visual processing across 4,080 natural images with high temporal resolution. The AVS dataset addresses a critical gap in visual neuroscience by providing high-quality neural recordings during active, naturalistic vision. Unlike traditional paradigms requiring central fixation, AVS captures the neural dynamics of self-directed visual exploration.
DOI: 10.15468/dl.kbn6tu
title: Occurrence Download

description: A dataset containing 1094979763 species occurrences available in GBIF matching the query:
{
 "BasisOfRecord" : [
 "is Human Observation"
 ]
}

 The dataset includes 1094979763 records from 11651 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006638-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/yd5-3aw-f86
title: Cyrillopsis paraënsis Kuhlm.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/bze-8fj-rxf
title: Parthenocissus quinquefolia (L.) Planch.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/p76-8yc-53n
title: Sarcaulus inflexus (A. C. Sm.) T. D. Penn.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/zx4-lkb-15p
title: Bomarea Mirb.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/bq2-xwd-95q
title: Ventilago vitiensis A. Gray

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/e7z-4w8-jec
title: Myristica gillespieana A. C. Sm.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/bm9-nha-wnd
title: Ventilago vitiensis A. Gray

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/ptg-etp-d2t
title: Honorius nutans (L.) Gray

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/q5p-r2z-p86
title: Tabernaemontana pandacaqui Lam.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/hmn-13h-wnn
title: Erythrina variegata L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/xlh-w8q-zwc
title: Virola Aubl.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/555-cr3-t08
title: Croton dissectistipulatus Secco

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/xg6-rm4-yf3
title: Burckella richii (A. Gray) H. J. Lam

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/xp6-f31-9fc
title: Amphirrhox longifolia (A. St.-Hil.) Spreng.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/hmh-p21-94l
title: Cyperus javanicus Houtt.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/pa2-14r-twl
title: Acalypha lanceolata Willd.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/e4n-vfp-aes
title: Linaria alpina (L.) Mill.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/kms-ql3-7vb
title: Sedum atratum L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/p44-7ne-4bq
title: Epipactis atrorubens (Hoffm.) Besser

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/11n-v8x-6e9
title: Hyptis rondonii Epling

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/xq0-tpc-jr4
title: Pipturus vitiensis A. C. Sm.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/zpk-x7m-wzm
title: Dalechampia olympiana Kuhlm. & W. A. Rodrigues

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.13140/rg.2.2.14945.30569
title: РАЗРАБОТКА МОДЕЛИ ПРЕДСТАВЛЕНИЯ КОМПЕТЕНЦИЙ В ПРОЕКТАХ ОБУЧЕНИЯ
DOI: 10.3535/jqe-3kp-qfs
title: Marsilea quadrifolia L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/sak-19f-e55
title: Polygala alpestris Rchb.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/24r-jgk-4zs
title: Philodendron Schott

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/e0b-emh-wb7
title: Xanthosoma Schott

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/hx5-ank-69a
title: Trema cannabina Lour.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/6zb-saz-1q2
title: Passiflora maliformis L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/rl3-fdl-hb8
title: Centaurea L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/wnr-n6e-yv1
title: Ternstroemia Mutis ex L. f.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.13140/rg.2.2.35759.53928
title: Using Pitchers technique to irrigation Euklbtos sp tree seedling
DOI: 10.3535/2w4-ab4-d1c
title: Microlicia ramosa Pilg.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/a1s-vx7-96j
title: Vismia Vand.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/gr0-7vs-y0l
title: Xyris veruina Malme

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/9g8-0n0-93c
title: Crepis kerneri Rech. f.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/9zs-s7a-419
title: Anthurium Schott

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/4ds-bd4-cxh
title: Viola reichenbachiana Jord. ex Boreau

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/7gt-qde-p61
title: Phlegmariurus filiformis (Sw.) W. H. Wagner

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/s64-xfp-8rf
title: Chrysobalanaceae R. Br.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.avg7fh
title: Occurrence Download

description: A dataset containing 14291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Procavia capensis"
 ]
}

 The dataset includes 14291 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028489-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/7wr-w4b-nwz
title: Pyrrosia lanceolata (L.) Farw.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/hr5-c6k-rkb
title: Neottia nidus-avis (L.) Rich.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/q7c-zp5-myd
title: Hesperomeles obtusifolia var. obtusifolia (Pers.) Lindl.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/458-afp-p3m
title: Frangula alnus subsp. alnus Mill.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/am6-crg-ey9
title: Drimys winteri J. R. Forst. & G. Forst.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/8px-hat-725
title: Ocotea aciphylla (Nees & Mart.) Mez

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/e6n-yqv-x2d
title: Ficus vitiensis Seem.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/q4h-bsv-v76
title: Symphonia L. f.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.