cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.udbxw3
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Oxytropis ochrocephala"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002126-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8z33p
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Rosa xanthina"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002127-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17453321
title: ALFF/fALFF z-maps

description: Amplitude of Low-Frequency Fluctuation (ALFF) and fractional ALFF (fALFF) maps represent the intensity of spontaneous brain activity during rest.





ALFF maps quantify the total power of low-frequency (0.01–0.08 Hz) BOLD signal oscillations at each voxel, reflecting the amplitude of regional spontaneous neural activity.




fALFF maps normalize ALFF by dividing it by the total power across the entire frequency range, thereby reducing non-neuronal noise and improving specificity to neural signals.



Together, ALFF and fALFF maps provide voxel-wise measures of intrinsic brain activity, highlighting regions with altered amplitude dynamics in patient versus control groups.
DOI: 10.5281/zenodo.17453322
title: ALFF/fALFF z-maps

description: Amplitude of Low-Frequency Fluctuation (ALFF) and fractional ALFF (fALFF) maps represent the intensity of spontaneous brain activity during rest.





ALFF maps quantify the total power of low-frequency (0.01–0.08 Hz) BOLD signal oscillations at each voxel, reflecting the amplitude of regional spontaneous neural activity.




fALFF maps normalize ALFF by dividing it by the total power across the entire frequency range, thereby reducing non-neuronal noise and improving specificity to neural signals.



Together, ALFF and fALFF maps provide voxel-wise measures of intrinsic brain activity, highlighting regions with altered amplitude dynamics in patient versus control groups.
DOI: 10.15468/dl.amg6gm
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Juncus atratus"
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002133-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vs24zh
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Comastoma pulmonarium"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002132-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9b4z8v
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Youngia japonica"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002129-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2909/8874669f-9a08-45a0-8fef-a2373530c0db
title: Surface of the terrestrial protected areas (2011-2023)

description: This indicator measures the extent and share of terrestrial protected areas. The indicator comprises nationally designated protected areas and Natura 2000 sites. A nationally designated area is an area protected by national legislation. Natura 2000 network sites consists of sites designated under the EU Habitats and Birds Directives with the goal to maintain or restore a favourable conservation status for habitat types and species of EU interest.
DOI: 10.15468/dl.d4s9x2
title: Occurrence Download

description: A dataset containing 4940 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Pinus jaliscana",
 "TaxonKey is Mimosa rheiptera",
 "TaxonKey is Eremosparton flaccidum",
 "TaxonKey is Diphysa puberulenta",
 "TaxonKey is Zenkerella citrina",
 "TaxonKey is Plinia humaitana",
 "TaxonKey is Syzygium moultonii",
 "TaxonKey is Ormosia gracilis",
 "TaxonKey is Eugenia darcyi",
 "TaxonKey is Cynometra plurijuga",
 "TaxonKey is Myrcia ensiformis",
 "TaxonKey is Syzygium brevicymum",
 "TaxonKey is Monopteryx angustifolia",
 "TaxonKey is Lithocarpus ruminatus",
 "TaxonKey is Senna pistaciifolia",
 "TaxonKey is Syzygium arcuatinervium",
 "TaxonKey is Dicymbe duidae",
 "TaxonKey is Casearia corymbosa",
 "TaxonKey is Swartzia guianensis",
 "TaxonKey is Inga martinicensis",
 "TaxonKey is Syzygium zimmermannii",
 "TaxonKey is Peltogyne campestris",
 "TaxonKey is Acacia floribunda",
 "TaxonKey is Inga alba",
 "TaxonKey is Castanea seguinii",
 "TaxonKey is Acacia trinervata",
 "TaxonKey is Eugenia monticola",
 "TaxonKey is Salix jaliscana",
 "TaxonKey is Dalbergia junghuhnii",
 "TaxonKey is Thailentadopsis nitida",
 "TaxonKey is Eucalyptus sheathiana",
 "TaxonKey is Caragana alpina",
 "TaxonKey is Platysepalum inopinatum",
 "TaxonKey is Syzygium pseudocalcicola",
 "TaxonKey is Inga manabiensis",
 "TaxonKey is Dovyalis macrocarpa",
 "TaxonKey is Myrcia littoralis",
 "TaxonKey is Myrcia summa",
 "TaxonKey is Bauhinia catingae",
 "TaxonKey is Zygia brenesii",
 "TaxonKey is Flacourtia subintegra",
 "TaxonKey is Quercus laurifolia",
 "TaxonKey is Quercus elevaticostata",
 "TaxonKey is Casearia tinifolia",
 "TaxonKey is Quercus hypoleucoides",
 "TaxonKey is Eugenia chavarriae",
 "TaxonKey is Abies concolor",
 "TaxonKey is Ormosia coccinea",
 "TaxonKey is Myrcia hondurensis",
 "TaxonKey is Didelotia morelii"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2017",
 "Year is less than or equal to 2024",
 "CoordinateUncertaintyInMeters is less than or equal to 10"
 ]
}

 The dataset includes 4940 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002130-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssrbzy
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrobrachium equidens",
 "Country is Singapore",
 "OccurrenceStatus is Present",
 "EventDate is 1800,2026"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002131-251025141854904/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.28647782
title: <b>173 crop-specific soil erosion maps</b>

description: Cite this dataset: Zhai, G., Deng, Z., Li, C., Li, K., Li, W., Martin, B., Huang, K., Hubacek, K., Shi, Z., and Wang, Z. (2025). Production- and consumption-driven spatially explicit hotspots of global cropland soil erosion. Cell Reports Sustainability 2, 100488. https://doi.org/10.1016/j.crsus.2025.100488.
DOI: 10.6084/m9.figshare.28647782.v4
title: <b>173 crop-specific soil erosion maps</b>

description: Cite this dataset: Zhai, G., Deng, Z., Li, C., Li, K., Li, W., Martin, B., Huang, K., Hubacek, K., Shi, Z., and Wang, Z. (2025). Production- and consumption-driven spatially explicit hotspots of global cropland soil erosion. Cell Reports Sustainability 2, 100488. https://doi.org/10.1016/j.crsus.2025.100488.
DOI: 10.6084/m9.figshare.28647782.v3
title: <b>Production- and consumption-driven spatially explicit hotspots of global cropland soil erosion</b>

description: High-resolution (0.05°) soil erosion maps for 173 crops. Cite this dataset: Zhai, G., Deng, Z., Li, C., Li, K., Li, W., Martin, B., Huang, K., Hubacek, K., Shi, Z., and Wang, Z. (2025). Production- and consumption-driven spatially explicit hotspots of global cropland soil erosion. Cell Reports Sustainability 2, 100488. https://doi.org/10.1016/j.crsus.2025.100488.
DOI: 10.5281/zenodo.7551337
title: IDMT-ISA-Pucks Dataset

description: The IDMT-ISA-PUCKS dataset (IIPD) was designed to simulate the challenging acoustic analysis conditions consistent with industrial manufacturing settings. The dataset contains audio recordings of multiple games of air-hockey played with pucks of different plastic materials. Data collection was performed by equipping the air hockey table with two sE8 microphones, each recording one side of the table, as seen in the image above, while a game is played. Additionally, there are recordings where no game was being played and only background noise was recorded.

We recorded the games played with different pucks at three different noise levels: Level 1 at room volume (vol_000), Level 2 with some background noise (vol_050 = 70 dB(C)) and Level 3 at loud background noise (vol_100 = 80 dB(C)). The background noise was played over four speakers in equal distances around the table and contains human voices.

The following materials were used for the four pucks:



Puck_A is the original factory puck (material unknown)

Puck_E from the 3D printer (material: ABS, print process: FDM)

Puck_G from the 3D printer (material: PA2200, print process: SLS)

Puck_I from the 3D printer (material: PA12, print process: MJF)


For each noise level and puck material, five three-minute games were played with different pucks of the specified material. Further, each game was played with different sets of players. The recordings were made via two sE8 microphones placed in the middle of the air-hockey table (about 10 cm above the surface).

Dataset total duration:  260 minutes (1 min per file)



# Files for puck_A: 45

# Files for puck_E: 45

# Files for puck_G: 45

# Files for puck_I: 45

# Files for no_puck: 45

# Total WAV Files: 260

Sampling rate: 44.1KHz

Resolution: 32-bit

Stereo audio
DOI: 10.5281/zenodo.7551338
title: IDMT-ISA-Pucks Dataset

description: The IDMT-ISA-PUCKS dataset (IIPD) was designed to simulate the challenging acoustic analysis conditions consistent with industrial manufacturing settings. The dataset contains audio recordings of multiple games of air-hockey played with pucks of different plastic materials. Data collection was performed by equipping the air hockey table with two sE8 microphones, each recording one side of the table, as seen in the image above, while a game is played. Additionally, there are recordings where no game was being played and only background noise was recorded.

We recorded the games played with different pucks at three different noise levels: Level 1 at room volume (vol_000), Level 2 with some background noise (vol_050 = 70 dB(C)) and Level 3 at loud background noise (vol_100 = 80 dB(C)). The background noise was played over four speakers in equal distances around the table and contains human voices.

The following materials were used for the four pucks:



Puck_A is the original factory puck (material unknown)

Puck_E from the 3D printer (material: ABS, print process: FDM)

Puck_G from the 3D printer (material: PA2200, print process: SLS)

Puck_I from the 3D printer (material: PA12, print process: MJF)


For each noise level and puck material, five three-minute games were played with different pucks of the specified material. Further, each game was played with different sets of players. The recordings were made via two sE8 microphones placed in the middle of the air-hockey table (about 10 cm above the surface).

Dataset total duration:  260 minutes (1 min per file)



# Files for puck_A: 45

# Files for puck_E: 45

# Files for puck_G: 45

# Files for puck_I: 45

# Files for no_puck: 45

# Total WAV Files: 260

Sampling rate: 44.1KHz

Resolution: 32-bit

Stereo audio
DOI: 10.17632/w5d33ww9rw
title: Supplementary Video for 1-mL syringe barrel as a substitute suction tip

description: Assembly and suction test of the modified suction tip.
DOI: 10.17632/w5d33ww9rw.1
title: Supplementary Video for 1-mL syringe barrel as a substitute suction tip

description: Assembly and suction test of the modified suction tip.
DOI: 10.17632/w2jjn5bn8v
title: RUSLE

description: RUSLE modele Maps and shape file
DOI: 10.17632/w2jjn5bn8v.1
title: RUSLE

description: RUSLE modele Maps and shape file
DOI: 10.5281/zenodo.17453407
title: Enhanced Recovery in Hip and Knee Arthroplasty: Findings from a Swiss Quasi-Experimental Orthopaedic Study
DOI: 10.5281/zenodo.17453408
title: Enhanced Recovery in Hip and Knee Arthroplasty: Findings from a Swiss Quasi-Experimental Orthopaedic Study
DOI: 10.15468/dl.bxtkph
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Oxytropis immersa"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002135-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnpjn8
title: Occurrence Download

description: A dataset containing 15683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Royal Botanic Gardens, Kew - Herbarium Specimens",
 "Country is Sweden"
 ]
}

 The dataset includes 15683 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002134-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/msvgsykm7p
title: DFT data, reactivity of dopamine toward the superoxide radical anion

description: DFT data was calculated using the Becke three-parameter Lee–Yang–Parr (B3LYP), Minnesota 06 (M06-2X), and TPSSh functionals implemented in the Gaussian 16 Program package.
DOI: 10.15468/dl.gjz6zw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Thalictrum minus hypoleucum"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002136-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/msvgsykm7p.1
title: DFT data, reactivity of dopamine toward the superoxide radical anion

description: DFT data was calculated using the Becke three-parameter Lee–Yang–Parr (B3LYP), Minnesota 06 (M06-2X), and TPSSh functionals implemented in the Gaussian 16 Program package.
DOI: 10.25345/c5804xz45
title: MassIVE MSV000099609 - XIAMENUNIVERSITY-QIUYAN-6-ykz5205
title: YKZ5205 is a compound with distinct chemical characteristics, having a relative molecular mass of 454.27.
DOI: 10.15468/dl.s3e8mb
title: Occurrence Download

description: A dataset listing the 369 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is South Africa",
 "Geometry POLYGON((31.99005 -25.44434,32.00826 -25.40698,32.01745 -25.33964,32.03887 -25.15138,32.00214 -24.84604,32.01132 -24.58584,31.99637 -24.31111,31.91502 -24.19462,31.88287 -23.95892,31.76502 -23.87933,31.70839 -23.74464,31.68713 -23.62158,31.56009 -23.48383,31.55703 -23.30323,31.56621 -23.19456,31.30114 -22.41151,31.27206 -22.36942,31.23838 -22.36942,31.20548 -22.35565,31.15803 -22.32351,31.09528 -22.35029,31.05242 -22.33499,31.03865 -22.35106,31.0264 -22.41381,31.05469 -22.44349,31.03326 -22.50241,30.98505 -22.49093,30.94009 -22.5633,30.98294 -22.59467,30.92555 -22.63829,30.87123 -22.72167,31.0021 -22.73621,30.88763 -23.04303,30.89407 -23.08109,31.08028 -23.5287,31.08487 -23.58074,31.11242 -23.64655,31.05273 -23.6236,31.01446 -23.67716,31.0076 -23.80878,31.13922 -23.82485,31.14903 -23.95252,31.2003 -24.03364,31.16663 -24.02981,31.09163 -24.05736,31.04189 -24.08185,31.08781 -24.12318,31.0464 -24.16739,31.02956 -24.28141,31.06335 -24.33777,31.19242 -24.31529,31.22603 -24.361,31.14798 -24.37497,31.15298 -24.4449,31.19155 -24.43609,31.22982 -24.47375,31.22979 -24.51891,31.16853 -24.55195,31.16913 -24.61021,31.21435 -24.63456,31.29182 -24.58651,31.34468 -24.55588,31.35429 -24.61113,31.41074 -24.60933,31.46058 -24.70375,31.30863 -24.72117,31.32304 -24.80886,31.37529 -24.87432,31.43776 -24.87312,31.46118 -24.92117,31.43055 -24.93498,31.43716 -24.97102,31.32071 -24.95377,31.24131 -24.9786,31.17627 -25.12282,31.2033 -25.2045,31.23513 -25.22372,31.24054 -25.28919,31.30876 -25.47738,31.3424 -25.5026,31.37783 -25.53503,31.54561 -25.47257,31.5432 -25.44615,31.56422 -25.42633,31.60927 -25.41191,31.61107 -25.44134,31.65672 -25.43714,31.72338 -25.38428,31.77083 -25.38789,31.75402 -25.32482,31.77263 -25.32723,31.80687 -25.37107,31.88555 -25.39269,31.90657 -25.35185,31.9402 -25.35605,31.95522 -25.42873,31.99005 -25.44434))",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Squamata, Crocodylia, Testudines, Mammalia, Amphibia, Aves)"
 ]
}

 The dataset's 369 records were derived from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002128-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3kzjq
title: Occurrence Download

description: A dataset containing 20905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.6.15_1",
 "TaxonKey is Passeriformes",
 "Year 2020-2024"
 ]
}

 The dataset includes 20905 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002137-251025141854904/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.30453344
title: Sequence alignment and Maximum Likelihood phylogenetic tree of <i>Inonotus vietnamensis</i>

description: Species of the genus <i>Inonotus</i> (Hymenochaetaceae, Hymenochaetales) are well known as wood-decaying fungi with ecological and pharmacological importance. Several species, including <i>I. hispidus</i> and <i>I. obliquus</i>, have been reported to contain a wide range of bioactive compounds with antioxidant and anticancer properties. In this study, the chemical composition and antioxidant activity of a newly identified species, <i>Inonotus vietnamensis</i>, were investigated for the first time.
DOI: 10.6084/m9.figshare.30453344.v1
title: Sequence alignment and Maximum Likelihood phylogenetic tree of <i>Inonotus vietnamensis</i>

description: Species of the genus <i>Inonotus</i> (Hymenochaetaceae, Hymenochaetales) are well known as wood-decaying fungi with ecological and pharmacological importance. Several species, including <i>I. hispidus</i> and <i>I. obliquus</i>, have been reported to contain a wide range of bioactive compounds with antioxidant and anticancer properties. In this study, the chemical composition and antioxidant activity of a newly identified species, <i>Inonotus vietnamensis</i>, were investigated for the first time.
DOI: 10.17632/wtxnmtvmw7.1
title: A Medicinal Plant Leaf Image Dataset from Bangladesh for Deep Learning–Based Recognition

description: This dataset contains a total of 4,741 JPG images of medicinal plant leaves collected from the rural jungle area of Guadanga village, Phulpur, Mymensingh, Bangladesh. The images were captured in indoor conditions under controlled lighting using two high-resolution smartphone cameras - Google Pixel 5 and Google Pixel 6a - to ensure high-quality visuals suitable for computer vision and deep learning applications.

The original dataset is organized into six folders, each representing a distinct and commonly found medicinal plant species in Bangladesh:

• Centella Asiatica
• Coccinia Grandis
• Eclipta Prostrata
• Mikania Micrantha
• Murraya Koenigii
• Stephania Japonica
DOI: 10.17632/g2jhfhnsw5
title: Supplementary images for ‘Plumage sign’ helps clinician easily identify pigmented squamous cell carcinoma in situ

description: Supplementary images for ‘Plumage sign’ help clinicians easily identify pigmented squamous cell carcinoma in situ
DOI: 10.17632/g2jhfhnsw5.1
title: Supplementary images for ‘Plumage sign’ helps clinician easily identify pigmented squamous cell carcinoma in situ

description: Supplementary images for ‘Plumage sign’ help clinicians easily identify pigmented squamous cell carcinoma in situ
DOI: 10.17632/c9k638ctgm
title: Spanish cherry leaves diseases

description: This dataset contains a total of 1,071 high-quality images of Spanish cherry leaves collected from the National Martyrs' Memorial, Nobinagar, located in Savar, Dhaka, Bangladesh. The dataset includes both healthy and diseased leaves affected by various biotic and abiotic stress factors commonly observed in Spanish cherry plants. The primary disease categories represented in this collection are Chewing Insects, Fungal Leaf Spot, Localized Damage, and Sap-Sucking Insects, along with a separate category for healthy leaves. All images were captured under natural field conditions using the primary camera of an iPhone 13 (12MP) and iPhone 14 (12MP) to maintain consistency in quality and lighting. The photographs focus on the symptomatic regions of the leaves, ensuring clear visibility of disease characteristics such as color changes, mold growth, curling, or spotting. Each image was manually reviewed and labeled by plant pathology experts based on visible features corresponding to specific diseases or healthy conditions. The dataset was compressed by 80% to reduce storage requirements and enhance accessibility without significant loss in visual detail. Images are stored in JPG format and organized into folders according to their disease category, with 206 images of Chewing Insects, 251 of Fungal Leaf Spot, 152 Healthy, 294 of Localized Damage, and 168 of Sap-Sucking Insects. This dataset provides a valuable resource for researchers and practitioners working in plant pathology, agriculture, and artificial intelligence, particularly in the development of deep learning and computer vision models for automatic plant disease detection and classification. It can also be used in educational and diagnostic applications, helping improve early disease recognition and supporting precision agriculture practices.

Disease Categories: 

Chewing Insects: 206 images 
Fungal Leaf Spot: 251 images 
Healthy: 152 images 
Localized Damage: 294 images 
Sap-Sucking Insects: 168 images