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

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-75.3793783999999931 39.8639463000000021, -75.3793783999999931 39.8644921599999975, -75.3793783999999931 39.8655838700000018, -75.3793783999999931 39.8663778399999984, -75.3793783999999931 39.8671221900000035, -75.3793783999999931 39.8681642800000020, -75.3793783999999931 39.8689086300000000, -75.3793783999999931 39.8697025999999966, -75.3793783999999931 39.8705461999999997, -75.3784876900000000 39.8705461999999997, -75.3777454300000045 39.8705461999999997, -75.3763598799999954 39.8705461999999997, -75.3752712299999956 39.8705461999999997, -75.3744300000000038 39.8705461999999997, -75.3744300000000038 39.8696033599999993, -75.3744300000000038 39.8682635300000001, -75.3744300000000038 39.8675191800000022, -75.3744300000000038 39.8664274699999979, -75.3744300000000038 39.8656831199999999, -75.3744300000000038 39.8645914000000019, -75.3744300000000038 39.8639463000000021, -75.3759639999999962 39.8639463000000021, -75.3774980099999965 39.8639463000000021, -75.3786856199999988 39.8639463000000021, -75.3793783999999931 39.8639463000000021))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 35 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101763-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvmcrg
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthurium obtusatum Engl."
 ]
}

 The dataset includes 51 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038147-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rrame4
title: Occurrence Download

description: A dataset containing 703 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is one of (Tropicos MO Specimen Data, HUEFS - Herbario da Universidade Estadual de Feira de Santana, UFMT - Herbário UFMT, The New York Botanical Garden Herbarium (NY), MBM - Herbário do Museu Botânico Municipal, RB - Rio de Janeiro Botanical Garden Herbarium Collection, Field Museum of Natural History (Botany) Seed Plant Collection, MAC - Herbário do Instituto do Meio Ambiente do Estado de Alagoas, NY herbarium - The New York Botanical Garden - Amostras Brasileiras Repatriadas - Herbário Virtual REFLORA, Herbarium - Instituto Nacional de Pesquisas da Amazônia (INPA))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Catasetum Rich. ex Kunth"
 ]
}

 The dataset includes 703 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101772-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fywhp3
title: Occurrence Download

description: A dataset containing 1987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Crepis pygmaea L."
 ]
}

 The dataset includes 1987 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038162-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egmme3
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gonodactylellus demanii (Henderson, 1893)"
 ]
}

 The dataset includes 96 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120382-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szb43g
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Living Specimen)",
 "TaxonKey is Chlamydomonas leiostraca (Strehlow) H.Ettl, 1958"
 ]
}

 The dataset includes 40 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038163-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fku8bd
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Ruellia magniflora C.Ezcurra"
 ]
}

 The dataset includes 13 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120404-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eewrb3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aves)",
 "HasCoordinate is one of (true)",
 "Geometry MULTIPOLYGON (((-76.46273 3.350941, -76.46304 3.351022, -76.46313 3.350803, -76.46318 3.350458, -76.46281 3.350374, -76.46273 3.350941)), ((-76.46045 3.354376, -76.45981 3.355031, -76.4595 3.356047, -76.45983 3.35589, -76.45997 3.355171, -76.46043 3.354506, -76.46084 3.354059, -76.46141 3.35345, -76.46155 3.353329, -76.46169 3.353147, -76.46174 3.353037, -76.46166 3.352978, -76.46045 3.354376)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072119-230530130749713/datasets/export for details.
DOI: 10.15468/dl.fbjevd
title: Occurrence Download

description: A dataset containing 700 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthurium obtusilobum Schott"
 ]
}

 The dataset includes 700 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038154-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ne6m69
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-81.0087041000000028 34.0095189999999974, -81.0087041000000028 34.0099786099999974, -81.0087041000000028 34.0110127299999974, -81.0087041000000028 34.0116446899999971, -81.0087041000000028 34.0125064499999965, -81.0087041000000028 34.0135980200000034, -81.0087041000000028 34.0142299800000032, -81.0087041000000028 34.0152641000000031, -81.0072102400000063 34.0152641000000031, -81.0056589200000019 34.0152641000000031, -81.0045672499999938 34.0152641000000031, -81.0033606700000064 34.0152641000000031, -81.0023264600000061 34.0152641000000031, -81.0008900499999953 34.0152641000000031, -80.9996834699999937 34.0152641000000031, -80.9987067099999933 34.0152641000000031, -80.9971553999999969 34.0152641000000031, -80.9971553999999969 34.0143448800000030, -80.9971553999999969 34.0132533199999969, -80.9971553999999969 34.0119319399999966, -80.9971553999999969 34.0109552799999975, -80.9971553999999969 34.0103233099999969, -80.9971553999999969 34.0095189999999974, -80.9983619799999985 34.0095189999999974, -80.9991663600000038 34.0095189999999974, -81.0006602299999940 34.0095189999999974, -81.0015795300000008 34.0095189999999974, -81.0029584800000038 34.0095189999999974, -81.0045672499999938 34.0095189999999974, -81.0057738400000034 34.0095189999999974, -81.0073826099999934 34.0095189999999974, -81.0087041000000028 34.0095189999999974))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 33 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079406-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bx5pa
title: Occurrence Download

description: A dataset containing 822 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-80.2650823999999972 36.0932157000000018, -80.2650823999999972 36.0947075200000000, -80.2650823999999972 36.0960128700000027, -80.2650823999999972 36.0978776500000009, -80.2650823999999972 36.0991829999999965, -80.2650823999999972 36.1008612999999983, -80.2650823999999972 36.1025396000000001, -80.2625560500000006 36.1025396000000001, -80.2604036900000040 36.1025396000000001, -80.2577834199999955 36.1025396000000001, -80.2561925400000007 36.1025396000000001, -80.2541341000000017 36.1025396000000001, -80.2541341000000017 36.1002086299999974, -80.2541341000000017 36.0985303200000018, -80.2541341000000017 36.0970384999999965, -80.2541341000000017 36.0955466799999982, -80.2541341000000017 36.0932157000000018, -80.2563796999999965 36.0932157000000018, -80.2575026800000018 36.0932157000000018, -80.2597486199999963 36.0932157000000018, -80.2621817299999947 36.0932157000000018, -80.2638661900000017 36.0932157000000018, -80.2650823999999972 36.0932157000000018))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 822 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079407-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdxpgc
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phellinus pomaceus (Pers.) Maire",
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada"
 ]
 },
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 }
 ]
}

 The dataset includes 193 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125463-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7f34m
title: Occurrence Download

description: A dataset containing 12947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-73.9292621999999966 40.8032991999999979, -73.9292621999999966 40.8072980099999967, -73.9292621999999966 40.8126297499999993, -73.9292621999999966 40.8179615000000027, -73.9292621999999966 40.8215159900000018, -73.9292621999999966 40.8255148000000005, -73.9246030300000001 40.8255148000000005, -73.9181693499999994 40.8255148000000005, -73.9150634399999973 40.8255148000000005, -73.9099608700000061 40.8255148000000005, -73.9039709000000045 40.8255148000000005, -73.8997557299999954 40.8255148000000005, -73.8964279700000048 40.8255148000000005, -73.8917687999999941 40.8255148000000005, -73.8917687999999941 40.8210716800000029, -73.8917687999999941 40.8177393400000028, -73.8917687999999941 40.8128519099999991, -73.8917687999999941 40.8084087900000014, -73.8917687999999941 40.8032991999999979, -73.8946531699999980 40.8032991999999979, -73.8995338800000070 40.8032991999999979, -73.9053020099999998 40.8032991999999979, -73.9095171700000009 40.8032991999999979, -73.9121793799999978 40.8032991999999979, -73.9175038000000058 40.8032991999999979, -73.9210534099999990 40.8032991999999979, -73.9252685799999938 40.8032991999999979, -73.9292621999999966 40.8032991999999979))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 12947 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088527-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3jb9z
title: Occurrence Download

description: A dataset containing 13040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-80.3009418000000039 36.0917269999999988, -80.3009418000000039 36.0976027999999971, -80.3009418000000039 36.1026391999999987, -80.3009418000000039 36.1065564000000023, -80.3009418000000039 36.1107534000000001, -80.3009418000000039 36.1155100000000004, -80.3009418000000039 36.1197069999999982, -80.2967388900000003 36.1197069999999982, -80.2897333399999980 36.1197069999999982, -80.2852497899999946 36.1197069999999982, -80.2796453499999956 36.1197069999999982, -80.2715189099999975 36.1197069999999982, -80.2647939999999949 36.1197069999999982, -80.2647939999999949 36.1155100000000004, -80.2647939999999949 36.1113130000000027, -80.2647939999999949 36.1048776000000018, -80.2647939999999949 36.0984422000000009, -80.2647939999999949 36.0917269999999988, -80.2701177999999942 36.0917269999999988, -80.2782442400000065 36.0917269999999988, -80.2869311200000055 36.0917269999999988, -80.2908542299999937 36.0917269999999988, -80.2967388900000003 36.0917269999999988, -80.3009418000000039 36.0917269999999988))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 13040 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079394-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4y5xx
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.7629 50.77672,5.14624 50.77672,5.14624 51.03872,4.7629 51.03872,4.7629 50.77672))",
 "TaxonKey is Legousia hybrida (L.) Delarbre",
 "Year 1000-2005"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000110-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/q3ry-f804
title: miRNA-disease association

description: The accurate identification of miRNA-disease associations plays a crucial role in biomedical research and clinical applications. However, most research focuses on the existence of the association, without conducting further exploration. In this study, we propose a novel statistical meta-path contrastive learning-based approach (SMCLMDA), which aims to accurately identify the multidimensional relationships(up/down-regulation and causal/non-causal) between miRNAs and diseases. SMCLMDA first obtains the local structural information of miRNAs and diseases based on Node2Vec and uses it as the initial node input of the graph convolutional neural network (GCN). Then, the meta-path view constructed by the statistical method further enhances the representation of the similarity view via a contrastive learning strategy. Finally, SMCLMDA calculates the predicted probability of the multidimensional relationships of miRNA-disease via a multilayer perceptron(MLP). The experimental results demonstrate that SMCLMDA surpasses current state-of-theart computational methods in predicting traditional associations, as well as up/down-regulation and causal/non-causal relationships. The case study additionally validates the effectiveness of SMCLMDA in identifying potential miRNA-disease
associations.
DOI: 10.5281/zenodo.14161036
title: Mulancongjun_Xinshuilingnanshi_05_Chenchao.fbx
DOI: 10.5281/zenodo.14161035
title: Mulancongjun_Xinshuilingnanshi_05_Chenchao.fbx
DOI: 10.5281/zenodo.14887395
title: CLDF dataset derived from Oudemans' "Woordenlijst van de Talen van Enggano, Mentawei en Nias" from 1879

description: Cite the source of the dataset as:




Oudemans, Jean Abraham Chrétien. 1879. Woordenlijst van de Talen van Enggano, Mentawei en Nias. Tijdschrift voor Indische Taal-, Land- en Volkenkunde XXV(5–6). 484–488.
DOI: 10.5281/zenodo.14887394
title: CLDF dataset derived from Oudemans' "Woordenlijst van de Talen van Enggano, Mentawei en Nias" from 1879

description: Cite the source of the dataset as:




Oudemans, Jean Abraham Chrétien. 1879. Woordenlijst van de Talen van Enggano, Mentawei en Nias. Tijdschrift voor Indische Taal-, Land- en Volkenkunde XXV(5–6). 484–488.
DOI: 10.15468/dl.e3q6k9
title: Occurrence Download

description: A dataset containing 3065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbarium of Karaganda Buketov University (QAR)",
 "Year 2019-2025"
 ]
}

 The dataset includes 3065 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000112-250218110819086/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.26426554
title: <b>The data file</b>

description: The data file for a submitted paper.
DOI: 10.6084/m9.figshare.26426554.v2
title: <b>The data file</b>

description: The data file for a submitted paper.
DOI: 10.6084/m9.figshare.26426554.v1
title: <b>The data file for the paper "Quality design for dynamic time-</b><b>variant</b><b> response considering heterogeneous effects and uncertainty​"</b>

description: The data file for the paper"<b>Quality design for dynamic time-</b><b>variant</b><b> response considering heterogeneous effects and uncertainty</b>"
DOI: 10.15468/dl.3z72tw
title: Occurrence Download

description: A dataset containing 12982 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (NE, DD, CR, NT, LC, VU, EN, EW, EX)",
 "TaxonKey is Cnidaria"
 ]
}

 The dataset includes 12982 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000114-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9w9dwg
title: Occurrence Download

description: A dataset containing 25031 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Sweden",
 "DatasetKey is Artportalen",
 "Geometry POLYGON((16.34832 56.52075,16.37373 56.24339,16.38034 56.18267,16.54294 56.21748,16.67509 56.53041,17.16558 57.35561,17.01385 57.36372,16.99002 57.3389,16.82512 57.08736,16.73169 56.91784,16.57845 56.87381,16.34832 56.52075))",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Dactylorhiza incarnata (L.) Soó, Neottia ovata (L.) Bluff & Fingerh., Orchis militaris L., Dactylorhiza ochroleuca (Wustnei ex Boll.) Aver., 1983, Orchis mascula (L.) L., Ophrys insectifera L., Neotinea ustulata (L.) R.M.Bateman, Pridgeon & M.W.Chase, Herminium monorchis (L.) R.Br., Platanthera chlorantha (Custer) Rchb., Gymnadenia densiflora (Wahlenb.) A.Dietr., Gymnadenia conopsea (L.) R.Br., Anacamptis morio (L.) R.M.Bateman, Pridgeon & M.W.Chase, Platanthera bifolia (L.) Rich., Dactylorhiza sambucina (L.) Soó, Dactylorhiza maculata subsp. fuchsii (Druce) Hyl.)"
 ]
}

 The dataset includes 25031 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000115-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14886875
title: A Machine Learning Approach That Beats Large Rubik's Cubes. Weights and Datasets

description: This dataset contains model weights and evaluation data used in experimental studies of the "A Machine Learning Approach That Beats Large Rubik's Cubes" research.

solvers/  Each subdirectory corresponds to a solver model from Table 1 of the paper. These models were trained for different cube sizes (2x2x2, 3x3x3, 4x4x4, 5x5x5).

  Each solver folder contains:  - weights/ – Model weights in .pth format (Float32), compatible with model.py.      The filenames follow this pattern:      <model architecture number from Table 2>-<agent ID>-<train set size (optional)>.pth      - If multiple agents were trained with the same model architecture, they have different ID numbers.      - The train set size is included only if different versions exist.    - dataset/      - generators.json – Defines permutation actions and symbolic names used in searcher.py.      - data.pt – A 2D Torch tensor (Int8) where each row represents a scrambled Rubik’s Cube state. Values in [0, 6) correspond to face colors.

figures/  Each subdirectory (fig-*) corresponds to an experiment from the paper.    The structure inside each folder (weights/ and dataset/) is the same as in solvers/, containing model weights and evaluation data.
DOI: 10.5281/zenodo.14886876
title: A Machine Learning Approach That Beats Large Rubik's Cubes. Weights and Datasets

description: This dataset contains model weights and evaluation data used in experimental studies of the "A Machine Learning Approach That Beats Large Rubik's Cubes" research.

solvers/  Each subdirectory corresponds to a solver model from Table 1 of the paper. These models were trained for different cube sizes (2x2x2, 3x3x3, 4x4x4, 5x5x5).

  Each solver folder contains:  - weights/ – Model weights in .pth format (Float32), compatible with model.py.      The filenames follow this pattern:      <model architecture number from Table 2>-<agent ID>-<train set size (optional)>.pth      - If multiple agents were trained with the same model architecture, they have different ID numbers.      - The train set size is included only if different versions exist.    - dataset/      - generators.json – Defines permutation actions and symbolic names used in searcher.py.      - data.pt – A 2D Torch tensor (Int8) where each row represents a scrambled Rubik’s Cube state. Values in [0, 6) correspond to face colors.

figures/  Each subdirectory (fig-*) corresponds to an experiment from the paper.    The structure inside each folder (weights/ and dataset/) is the same as in solvers/, containing model weights and evaluation data.
DOI: 10.5281/zenodo.14887335
title: From micro to subnano scale: Insight into the dielectric properties of BiOI nanoplates

description: This data publication is based on the metadata and datasets underlying the manuscript "From micro to subnano scale: Insight into the dielectric properties of BiOI nanoplates"

This research was partly funded by the National Science Centre, Poland [grant number: 2022/45/N/ST5/01118].
DOI: 10.5281/zenodo.14887336
title: From micro to subnano scale: Insight into the dielectric properties of BiOI nanoplates

description: This data publication is based on the metadata and datasets underlying the manuscript "From micro to subnano scale: Insight into the dielectric properties of BiOI nanoplates"

This research was partly funded by the National Science Centre, Poland [grant number: 2022/45/N/ST5/01118].