cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5f27xk
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphaenogaster occidentalis (Emery, 1895)",
 "Country is Canada",
 {
 "not" : {
 "InstitutionCode" : [
 "is one of (iNaturalist)"
 ]
 }
 }
 ]
}

 The dataset includes 231 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041623-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8syxx3
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platygaster robiniae Buhl & Duso, 2008"
 ]
}

 The dataset includes 98 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041624-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wc9nc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium hybridum subsp. anatolicum (Boiss.) M.Hossain)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041625-240626123714530/datasets/export for details.
DOI: 10.15468/dl.k98ns4
title: Occurrence Download

description: A dataset containing 6865 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium hybridum subsp. elegans (Savi) Asch. & Graebn.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 6865 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041626-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13126394
title: NF-kB suppresses the breast cancer cell's growth via the p38 MAPK inhibitor
DOI: 10.5281/zenodo.13126395
title: NF-kB suppresses the breast cancer cell's growth via the p38 MAPK inhibitor
DOI: 10.15468/dl.w2gjyd
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is cdef28b1-db4e-4c58-aa71-3c5238c2d0b5",
 "TaxonKey is Blattodea"
 ]
}

 The dataset includes 73 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041627-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fucs77
title: Occurrence Download

description: A dataset containing 344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((88.00011 -2.60303,108.46196 -2.60303,108.46196 5.57821,88.00011 5.57821,88.00011 -2.60303))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pongo Lacépède, 1799"
 ]
}

 The dataset includes 344 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041629-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8f9vd6
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ailuropoda melanoleuca (David, 1869)"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041630-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43j8cj
title: Occurrence Download

description: A dataset containing 26912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium hybridum subsp. hybridum)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 26912 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041628-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3ma6u
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((38.38084 -14.59346,36.66543 -17.23612,38.19539 -16.91158,38.32733 -15.26236,38.38084 -14.59346))",
 "Geometry POLYGON((35.97 -15.6598,38.88188 -16.12613,37.57669 -14.5471,38.88188 -13.24896,37.40723 -13.24896,35.97 -15.6598))"
 ]
 },
 "TaxonKey is Musa ×paradisiaca L."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041631-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmh73d
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium michelianum var. balansae (Boiss.) Azn.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041632-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9g3zgc
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium ornithopodioides (L.) Sm)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 119 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041634-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bazpxz
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphaenogaster picea (Wheeler, 1908)",
 "Country is Canada",
 {
 "not" : {
 "InstitutionCode" : [
 "is one of (iNaturalist)"
 ]
 }
 }
 ]
}

 The dataset includes 23 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041633-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13121949
title: Transfer learning with generative models for object detection on limited datasets

description: The provided datasets are used for the analysis in the work "Transfer learning with generative models for object detection on limited datasets" (https://doi.org/10.1088/2632-2153/ad65b5). The availability of data is limited in some fields, especially for object detection tasks, where it is necessary to have correctly labeled bounding boxes around each object. A notable example of such data scarcity is found in the domain of marine biology, where it is useful to develop methods to automatically detect submarine species for environmental monitoring. To address this data limitation, the state-of-the-art machine learning strategies employ two main approaches. The first involves pretraining models on existing datasets before generalizing to the specific domain of interest. The second strategy is to create synthetic datasets specifically tailored to the target domain using methods like copy-paste techniques or ad-hoc simulators. The first strategy often faces a significant domain shift, while the second demands custom solutions crafted for the specific task. In response to these challenges, here we propose a transfer learning framework that is valid for a generic scenario. In this framework, generated images help to improve the performances of an object detector in a few-real data regime. This is achieved through a diffusion-based generative model that was pretrained on large generic datasets. With respect to the state-of-the-art, we find that it is not necessary to fine tune the generative model on the specific domain of interest. We believe that this is an important advance because it mitigates the labor-intensive task of manual labeling the images in object detection tasks. We validate our approach focusing on fishes in an underwater environment, and on the more common domain of cars in an urban setting. Our method achieves detection performance comparable to models trained on thousands of images, using only a few hundreds of input data. Our results pave the way for new generative AI-based protocols for machine learning applications in various domains, for instance ranging from geophysics to biology and medicine. The provided datasets are built with the help of Gligen and the already existing NuImages, Ozfish and Deepfish datasets. The file "CarGenerated.zip" contains images generated with Gligen and with provided bounding boxes around cars in an urban environment. The file "fishes_on_bkg.zip" provides fish images generated with fishes from Deepfish inpainted with Gligen on generated backgrounds. The file "fish_text.zip" contains images completely generated with Gligen containing fishes with annotated bounding boxes. Finally, the file "oz_masked_512.zip" contains a simpler dataset of copy paste images of Deepfish fishes on Ozfish backrounds. All the files contains the images saved in different folders for training and validation, plus an index file called gt_fish.csv for the bounding boxes.
DOI: 10.5281/zenodo.13121950
title: Transfer learning with generative models for object detection on limited datasets

description: The provided datasets are used for the analysis in the work "Transfer learning with generative models for object detection on limited datasets" (https://doi.org/10.1088/2632-2153/ad65b5). The availability of data is limited in some fields, especially for object detection tasks, where it is necessary to have correctly labeled bounding boxes around each object. A notable example of such data scarcity is found in the domain of marine biology, where it is useful to develop methods to automatically detect submarine species for environmental monitoring. To address this data limitation, the state-of-the-art machine learning strategies employ two main approaches. The first involves pretraining models on existing datasets before generalizing to the specific domain of interest. The second strategy is to create synthetic datasets specifically tailored to the target domain using methods like copy-paste techniques or ad-hoc simulators. The first strategy often faces a significant domain shift, while the second demands custom solutions crafted for the specific task. In response to these challenges, here we propose a transfer learning framework that is valid for a generic scenario. In this framework, generated images help to improve the performances of an object detector in a few-real data regime. This is achieved through a diffusion-based generative model that was pretrained on large generic datasets. With respect to the state-of-the-art, we find that it is not necessary to fine tune the generative model on the specific domain of interest. We believe that this is an important advance because it mitigates the labor-intensive task of manual labeling the images in object detection tasks. We validate our approach focusing on fishes in an underwater environment, and on the more common domain of cars in an urban setting. Our method achieves detection performance comparable to models trained on thousands of images, using only a few hundreds of input data. Our results pave the way for new generative AI-based protocols for machine learning applications in various domains, for instance ranging from geophysics to biology and medicine. The provided datasets are built with the help of Gligen and the already existing NuImages, Ozfish and Deepfish datasets. The file "CarGenerated.zip" contains images generated with Gligen and with provided bounding boxes around cars in an urban environment. The file "fishes_on_bkg.zip" provides fish images generated with fishes from Deepfish inpainted with Gligen on generated backgrounds. The file "fish_text.zip" contains images completely generated with Gligen containing fishes with annotated bounding boxes. Finally, the file "oz_masked_512.zip" contains a simpler dataset of copy paste images of Deepfish fishes on Ozfish backrounds. All the files contains the images saved in different folders for training and validation, plus an index file called gt_fish.csv for the bounding boxes.
DOI: 10.15468/dl.3ut7yb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium polystachyum var. polystachyum)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041635-240626123714530/datasets/export for details.
DOI: 10.15468/dl.2cqkf9
title: Occurrence Download

description: A dataset containing 27215 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Balaenoptera musculus (Linnaeus, 1758)"
 ]
}

 The dataset includes 27215 records from 246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041636-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3s33zq
title: Occurrence Download

description: A dataset containing 2884 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (United States of America, United States Minor Outlying Islands, American Samoa, Micronesia (Federated States of), Guam, Marshall Islands, Northern Mariana Islands, Puerto Rico, Palau, Virgin Islands (U.S.))",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Astragalus agrestis Douglas ex G.Don)"
 ]
}

 The dataset includes 2884 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041637-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5q23rb6b
title: MassIVE MSV000095476 - EcoFAB 2.0 Root Microbiome Ring Trial
title: The experiment aimed to demonstrate the reproducibility of microbiome formation, metabolite production, and plant growth across multiple laboratories using the EcoFAB 2.0 system. To achieve this, five laboratories (A-E) conducted the identical experiment. In each laboratory, Brachypodium distachyon Bd21-3 was grown in the EcoFAB 2.0 system and subjected to the following treatments: an axenic (mock-inoculated) plant control, two synthetic communities SynCom16 or SynCom17 (+/-Burkholderia sp. OAS925, a strong root colonizer), or a plant-free medium control. Each treatment was replicated seven times (n=7). After 22 days, the spent hydroponic growth medium was collected and analyzed using polar HILIC metabolomics to determine the exometabolite composition.
DOI: 10.15468/dl.krpe5x
title: Occurrence Download

description: A dataset containing 48428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium pratense subsp. pratense)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 48428 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041638-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d1gxgf
title: Occurrence Download

description: A dataset containing 129646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Papaver rhoeas L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 129646 records from 545 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002723-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kso3cl
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paratheria Griseb."
 ]
}

 The dataset includes 324 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000611-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wgm7fp
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "TaxonKey is Centropogon brittonianus Zahlbr.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 36 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063481-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.syfztd
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cereus saddianus (Rizzini & Mattos) P.J.Braun"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002723-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wecesm
title: Occurrence Download

description: A dataset containing 707 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Artemisia lancea Vaniot"
 ]
}

 The dataset includes 707 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060204-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r674nb
title: Occurrence Download

description: A dataset containing 1990 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Dahlia coccinea Cav.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1990 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005491-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ppd56
title: Occurrence Download

description: A dataset containing 352 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abutilon californicum Benth."
 ]
}

 The dataset includes 352 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067376-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkshy8
title: Occurrence Download

description: A dataset listing the 16 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 1f00d75c-f6fc-4224-a595-975e82d7689c",
 "TaxonKey is Paridae",
 "Year 2020-2021"
 ]
}

 The dataset's 16 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062129-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2znonb
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Marsdenia ulei Schltr. & Rothe",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035256-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwfomq
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Xenosaurus newmanorum Taylor, 1949"
 ]
}

 The dataset includes 210 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002723-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zv7655
title: Occurrence Download

description: A dataset containing 4378477 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyprinidae"
 ]
}

 The dataset includes 4378477 records from 971 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055390-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/jtn-5sa-ytb
title: Trichoniscus pusillus Brandt 1833

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/nhb-kjk-x0y
title: Oniscus asellus Linnaeus 1758

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/rv1-tbd-4m6
title: Ligidium hypnorum (Cuvier 1792)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.5517/ccq1p4k
title: CCDC 657018: Experimental Crystal Structure Determination

description: Related Article: G.C.Stephan, C.Nather, C.Sivasankar, F.Tuczek|2008|Inorg.Chim.Acta|361|1008|doi:10.1016/j.ica.2007.06.046
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.