cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/97g-adq-31k
title: Granaria frumentum (Draparnaud, 1801)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qd0-0f2-sm9
title: Cecilioides veneta (Strobel, 1855)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/61d-s02-kp7
title: Rissoa parva (da Costa, 1778)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3vd-02c-jpz
title: Truncatellina callicratis (Scacchi, 1833)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nej-921-2fx
title: Bostryx Troschel, 1847

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4rk-9wc-w6m
title: Cochlodina laminata laminata (Montagu, 1803)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6r7-pdf-zcg
title: Bulimulus tenuissimus (A. Férussac, 1832)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wwz-xb8-tn4
title: Odostomia acuta Jeffreys, 1848

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hb2-bme-vwv
title: Albinaria corrugata corrugata (Bruguière, 1792)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w2j-jyn-31w
title: Montenegrina rugilabris (Mousson, 1859)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/662-fwv-z3s
title: Plekocheilus tricolor (L. Pfeiffer, 1853)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/as4-2wj-s84
title: Abida secale boileausiana (Küster, 1845)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1bg-1bf-scq
title: Pupisoma dioscoricola (C. B. Adams, 1845)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0xf-emg-dd2
title: Weinkauffia macandrewii (E. A. Smith, 1872)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.szaj64
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus pallidiflorus Ser.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 109 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002245-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57992/nmrxiv.p70.s550.d2895
title: 9_SODXX_163_FULL_C19_OH_C3_C17_DI_OAc_07_12_2021-CP9[5]

description: 5
DOI: 10.57992/nmrxiv.p70.s550.d2898
title: 9_SODXX_163_FULL_C19_OH_C3_C17_DI_OAc_07_12_2021-CP9[8]

description: 8
DOI: 10.57992/nmrxiv.p70.s551.d2899
title: 7_SODXXI-052_FractionE_PTLC1_C19_imine_Schonecker_5beta_reduced_08_04_2021_FULL-CP7[1]

description: 1
DOI: 10.15468/dl.tfwz7e
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium montis-arerae Merxm. & Ehrend.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297909-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sz2ngj
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium mutabile Port.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 43 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286789-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4gfgf
title: Occurrence Download

description: A dataset containing 20651 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus balsamifera L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 20651 records from 272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293658-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57992/nmrxiv.p70.s551.d2906
title: 7_SODXXI-052_FractionE_PTLC1_C19_imine_Schonecker_5beta_reduced_08_04_2021_FULL-CP7[7]

description: 7
DOI: 10.15468/dl.pautsb
title: Occurrence Download

description: A dataset containing 10104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gypsophila vaccaria (L.) Sm.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10104 records from 264 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262092-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tp9wz7
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alchemilla delphinensis Buser",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286385-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57992/nmrxiv.p70.s552.d2911
title: S3-2_SODXXIII_024_[HSQC_FILE]_C3_C17_DIOL_02_09_2022-CPS3-2[3]

description: 3
DOI: 10.15468/dl.smadyc
title: Occurrence Download

description: A dataset containing 2608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ranunculus monspeliacus L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2608 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0291941-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w8cmye
title: Occurrence Download

description: A dataset containing 5965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amaranthus graecizans L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5965 records from 325 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084078-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.strxvc
title: Occurrence Download

description: A dataset containing 3692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidium hirtum (L.) Sm.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3692 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0300799-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57992/nmrxiv.p70.s553.d2915
title: 10_SODXXI_043_FULL_D5_REDUCED_PD_C_C19_OH_C3_C17_DI_ACETATE_07_31_2021-CP10[4]

description: 4
DOI: 10.15468/dl.tfpq55
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Delphinium macropetalum DC.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295550-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57992/nmrxiv.p70.s553.d2918
title: 10_SODXXI_043_FULL_D5_REDUCED_PD_C_C19_OH_C3_C17_DI_ACETATE_07_31_2021-CP10[7]

description: 7
DOI: 10.15468/dl.t8crex
title: Occurrence Download

description: A dataset containing 880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus laxiflorus (Desf.) Kuntze",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 880 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301061-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57992/nmrxiv.p70.s554.d2925
title: S4-6_SODXXIII_113F_FULL_Cu(OTf)2_C19_IMINE_D5_ALK_04_26_2022-CPS4-6[6]

description: 6
DOI: 10.15468/dl.nsswd8
title: Occurrence Download

description: A dataset containing 96845 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Filipendula vulgaris Moench",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 96845 records from 483 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261027-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57992/nmrxiv.p70
title: Copper oxidation chemistry using a 19-iminopyridine-bearing steroidal ligand: (i) C5-C6 olefin difunctionalization and (ii) C1β-hydroxylation/C19-peroxidation (Draft: cdc52a13)

description: Copper oxidations of a steroid were discovered when a C19-iminopyridine derivative was synthesized and treated with copper and hydrogen peroxide. When the steroid ring had a 5alpha-reduced backbone, the reaction resulted in the hydroxylation and peroxidation at the C1 and C19 positions, respectively. When the steroid ring contained a double bond at the C5-C6 position, an olefin difunctionalization occurred, which involved the incorporation of a hydroxy group and a nitrate ester at C5 and C6, respectively. The paper was published in the journal, Steroids, in 2023 (10.1016/j.steroids.2022.109088). The NMR files are provided.
DOI: 10.15468/dl.nyka48
title: Occurrence Download

description: A dataset containing 274354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clematis vitalba L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 274354 records from 611 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0345946-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17485769
title: Data sets for Figures 3, 3(a) and 3(b) of manuscript "Exchange interactions in open-shell armchair graphene nanoribbons"

description: Data sets for Figures 3, 3(a) and 3(b) of manuscript "Exchange interactions in open-shell armchair graphene nanoribbons"

hdf5 format
DOI: 10.5281/zenodo.17485770
title: Data sets for Figures 3, 3(a) and 3(b) of manuscript "Exchange interactions in open-shell armchair graphene nanoribbons"

description: Data sets for Figures 3, 3(a) and 3(b) of manuscript "Exchange interactions in open-shell armchair graphene nanoribbons"

hdf5 format
DOI: 10.15468/dl.z2fyns
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009943-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.678sc4
title: Occurrence Download

description: A dataset containing 917211367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "DecimalLongitude is greater than or equal to -179",
 "DecimalLongitude is less than or equal to -12",
 "DecimalLatitude is greater than or equal to -56",
 "DecimalLatitude is less than or equal to 84"
 ]
}

 The dataset includes 917211367 records from 1273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0268925-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11625864
title: Dataset for: Asphalt pavement fatigue crack severity classification by infrared thermography and deep learning

description: This is the dataset for the following paper: 

Fangyu Liu, Jian Liu, and Linbing Wang. "Asphalt pavement fatigue crack severity classification by infrared thermography and deep learning." Automation in Construction 143 (2022): 104575. https://doi.org/10.1016/j.autcon.2022.104575.

Data component:



01-Visible images: this folder includes fully visible images

02-Infrared images: this folder includes fully infrared images

03-Fusion(50IRT) images: this folder includes fusion images (50% infrared + 50% visible)

04-Ground truth: this folder includes ground truth (txt files):



00-Label_meaning.txt: the meaning of label number

01-All_label.txt: Image, label (severity level)

02-Train_label.txt: the training set: Image, Label (severity level)

02-Test_label.txt: the test set: Image, Label (severity level)
description: Fatigue cracking is usually associated with the structural failure of asphalt pavement. This work aims to apply infrared thermography and deep learning, especially convolutional neural network (CNN), for asphalt pavement fatigue crack severity classification. A dataset of asphalt pavement fatigue cracking was built with four severity levels (no, low-severity, medium-severity, and high-severity) and three image types (visible, infrared, and fusion; fusion is the fusion of visible and infrared images). Thirteen CNN models were trained and evaluated based on accuracy, complexity (computational and model), and memory usage. This work applied Grad-CAM and Guided Grad-CAM to interpret the CNN model for classifying the different severity levels of different crack types (fatigue and longitudinal or transverse cracks) for the three image types. This work investigated the effect of image types on classifying different severity levels of fatigue crack and discussed the applicability of infrared thermography on crack detection (crack severity classification and crack segmentation). The results show that the CNN model had the highest accuracy on the infrared image, followed by the fusion image, and the lowest on the visible image. EfficientNet-B4 achieved the highest accuracy on all three image types, while the accuracy of CNN exceeded 0.95 on all three image types. Different image types made the CNN model have different accuracy in classifying the different severity levels of different crack types, which was interpreted by Grad-CAM and Guided Grad-CAM. Based on the high accuracy and reliability, the fusion image could be an accurate, efficient, and reliable method for crack detection.
DOI: 10.15468/dl.fdhmby
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050236-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11625865
title: Dataset for: Asphalt pavement fatigue crack severity classification by infrared thermography and deep learning

description: This is the dataset for the following paper: 

Fangyu Liu, Jian Liu, and Linbing Wang. "Asphalt pavement fatigue crack severity classification by infrared thermography and deep learning." Automation in Construction 143 (2022): 104575. https://doi.org/10.1016/j.autcon.2022.104575.

Data component:



01-Visible images: this folder includes fully visible images

02-Infrared images: this folder includes fully infrared images

03-Fusion(50IRT) images: this folder includes fusion images (50% infrared + 50% visible)

04-Ground truth: this folder includes ground truth (txt files):



00-Label_meaning.txt: the meaning of label number

01-All_label.txt: Image, label (severity level)

02-Train_label.txt: the training set: Image, Label (severity level)

02-Test_label.txt: the test set: Image, Label (severity level)
description: Fatigue cracking is usually associated with the structural failure of asphalt pavement. This work aims to apply infrared thermography and deep learning, especially convolutional neural network (CNN), for asphalt pavement fatigue crack severity classification. A dataset of asphalt pavement fatigue cracking was built with four severity levels (no, low-severity, medium-severity, and high-severity) and three image types (visible, infrared, and fusion; fusion is the fusion of visible and infrared images). Thirteen CNN models were trained and evaluated based on accuracy, complexity (computational and model), and memory usage. This work applied Grad-CAM and Guided Grad-CAM to interpret the CNN model for classifying the different severity levels of different crack types (fatigue and longitudinal or transverse cracks) for the three image types. This work investigated the effect of image types on classifying different severity levels of fatigue crack and discussed the applicability of infrared thermography on crack detection (crack severity classification and crack segmentation). The results show that the CNN model had the highest accuracy on the infrared image, followed by the fusion image, and the lowest on the visible image. EfficientNet-B4 achieved the highest accuracy on all three image types, while the accuracy of CNN exceeded 0.95 on all three image types. Different image types made the CNN model have different accuracy in classifying the different severity levels of different crack types, which was interpreted by Grad-CAM and Guided Grad-CAM. Based on the high accuracy and reliability, the fusion image could be an accurate, efficient, and reliable method for crack detection.
DOI: 10.15468/dl.nvgvi1
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009883-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a34exu
title: Occurrence Download

description: A dataset containing 1746356260 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1746356260 records from 19435 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012461-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/a47-l2k-r2y
title: Plantae

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/jwn-bff-ffx
title: Amaranthus viridis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/jvv-pf7-5r3
title: Celosia argentea f. cristata (L.) Schinz

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ww5-5wm-7q1
title: Plantae

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/2z6-j7c-2zt
title: Plantae

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/nv2-9d6-z0x
title: Chamaeraphis hordeacea R.Br.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/99j-qce-gnh
title: Barleria proxima Lindau

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/acq-v5t-prn
title: Plantae

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/sxc-cv3-5np
title: Plantae

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8ca-cgq-ad0
title: Plantae

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/t1j-k9l-7wk
title: Barleria proxima Lindau

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/j75-ezt-3jg
title: Barleria proxima Lindau

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/34h-j98-7x5
title: Barleria proxima Lindau

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/exs-5b4-l6c
title: Barleria proxima Lindau

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/61w-c0p-2g8
title: Barleria proxima Lindau

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/wge-9ws-26p
title: Barleria proxima Lindau

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/b2n-8w9-n60
title: Barleria proxima Lindau

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/h93-94v-bbw
title: Barleria proxima Lindau

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/fey-z92-m51
title: Poa alopecurus (Gaudich. ex Mirb.) Kunth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/rab-gh6-84s
title: Poa glauca Vahl

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5k7-190-v7a
title: Plantae

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5vk-ymd-8zw
title: Plantae

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/bjz-fc8-hac
title: Plantae

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/j19-xns-9s1
title: Plantae

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/nc9-0af-600
title: Plantae

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/70y-2y4-1yy
title: Plantae

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.