cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/z0xba-0m105
title: JV9082

description: DotF-GFP, defocus range -3 to 6
description: <strong>Tilt Series Date:</strong> 2019-12-05</p>
<strong>Data Taken By:</strong> Yuxi Liu</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-54.0°, 54.0°), step: 3°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -5.0 μm,  magnification: 33000x. </p>
<strong>Microscope:</strong> Janelia Titan</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain from Joe Vogel lab</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Late exponential phase, early stationary phase</p>
<strong>Sample Preparation:</strong> 10nm gold, Quantifoil R2/2 copper mesh 200 Finder grid, Vitrobot 22 deg C, 100% humidity, blot . time 3 sec, blot force 6, drain 1 sec, wait 0 sec.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2019-12-05-20/rawdata/</p>9082_box1_No1_130.mrc,  Tilt Series (Pixel Size 0.2612 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2019-12-05-20/rawdata/9082_box1_No1_130.mrc"
        > <i class="download icon"></i> Download </a></p>

        9082_box1_No1_130_full.rec,  Reconstruction (Pixel Size 1.0448 nm), 516.1 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2019-12-05-20/3dimage_110094/9082_box1_No1_130_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/3kcgb-zy104
title: JV9082

description: DotF-GFP, defocus range -3 to 6
description: <strong>Tilt Series Date:</strong> 2019-12-05</p>
<strong>Data Taken By:</strong> Yuxi Liu</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-54.0°, 54.0°), step: 3°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -5.0 μm,  magnification: 33000x. </p>
<strong>Microscope:</strong> Janelia Titan</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain from Joe Vogel lab</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Late exponential phase, early stationary phase</p>
<strong>Sample Preparation:</strong> 10nm gold, Quantifoil R2/2 copper mesh 200 Finder grid, Vitrobot 22 deg C, 100% humidity, blot . time 3 sec, blot force 6, drain 1 sec, wait 0 sec.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2019-12-05-221/rawdata/</p>9082_box2_No3_108.mrc,  Tilt Series (Pixel Size 0.2612 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2019-12-05-221/rawdata/9082_box2_No3_108.mrc"
        > <i class="download icon"></i> Download </a></p>

        9082_box2_No3_108_full.rec,  Reconstruction (Pixel Size 1.0448 nm), 516.1 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2019-12-05-221/3dimage_110509/9082_box2_No3_108_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/k01vp-kv128
title: Legionella_JV9246

description: Legionella_JV9246: DotF-sfGFP fusion to the wild-type gene on the chromosome (thyA) and ΔdotO.
description: <strong>Tilt Series Date:</strong> 2019-05-28</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 3.0°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -4.0 μm,  magnification: 42000x. </p>
<strong>Microscope:</strong> Janelia Titan</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain sent to us by Joseph P. Vogel, Washington University School of Medicine. Data collected by Debnath Ghosal and Yuxi Liu.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Vitrobot (MK iv) settings: 100% humidity, 4µl sample, Blot force 6, blot time 3 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200. Add gold to cells prior to freezing: 1ul of gold to 4 ul of cells, freeze.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2019-05-28-19/rawdata/</p>JV9246_area1_tomo0051.mrc,  Tilt Series (Pixel Size 0.26 nm), 1.2 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2019-05-28-19/rawdata/JV9246_area1_tomo0051.mrc"
        > <i class="download icon"></i> Download </a></p>

        JV9246_area1_tomo0051_part41_1.rec,  Reconstruction (Pixel Size 1.04 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2019-05-28-19/3dimage_103400/JV9246_area1_tomo0051_part41_1.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.9e33t4
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Telestes pleurobipunctatus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 48 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003781-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.csq8az
title: Occurrence Download

description: A dataset containing 9782 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Viola elatior"
 ]
}

 The dataset includes 9782 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003780-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hw34c5
title: Occurrence Download

description: A dataset containing 3162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ceiba speciosa"
 ]
}

 The dataset includes 3162 records from 266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003778-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.psqqsv
title: Occurrence Download

description: A dataset containing 2663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pica bottanensis"
 ]
}

 The dataset includes 2663 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003782-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14226434
title: Data supporting "Local Clustering Decoder: a fast and adaptive hardware decoder for the surface code"

description: The data consists of a CSV file containing the raw performance data collected from running our decoder on a Xilinx Virtex Ultrascale+ VU19P FPGA. The Stim circuits that were used to create the samples are provided in a ZIP file. Our internal fork of Stim with support for leakage is needed to sample noise from the circuits.
DOI: 10.5281/zenodo.16982690
title: Data supporting "Local Clustering Decoder: a fast and adaptive hardware decoder for the surface code"

description: The data consists of a CSV file containing the raw performance data collected from running our decoder on a Xilinx Virtex Ultrascale+ VU19P FPGA. The Stim circuits that were used to create the samples are provided in a ZIP file. Our internal fork of Stim with support for leakage is needed to sample noise from the circuits.
DOI: 10.15468/dl.gyhwcx
title: Occurrence Download

description: A dataset listing the 3690 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-37.07678 68.47082,18.73073 66.92907,18.80911 66.9552,99.23207 68.47082,100.14129 84.73555,27.05396 84.72571,-37.07678 83.46513,-37.07678 68.47082))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year 2015-2025"
 ]
}

 The dataset's 3690 records were derived from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003768-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6m7hfg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Austroglanis barnardi, Austroglanis gilli, Labeo seeberi, Pseudobarbus capensis, Oreochromis niloticus, Pseudocrenilabrus philander, Tinca tinca, Pseudobarbus burgi, Gilchristella aestuaria, Micropterus punctulatus, Mugil cephalus, Redigobius dewaali, Labeo umbratus, Cyprinus carpio, Oreochromis mossambicus, Pseudobarbus asper, Clarias gariepinus, Micropterus salmoides, Gambusia affinis, Pseudobarbus verloreni, Monodactylus falciformis, Galaxias zebratus, Oncorhynchus mykiss, Sandelia capensis, Hydrocynus vittatus, Micralestes acutidens, Carassius auratus, Ctenopharyngodon idella, Engraulicypris brevianalis, Enteromius afrohamiltoni, Enteromius amatolicus, Enteromius annectens, Enteromius argenteus, Enteromius bifrenatus, Enteromius eutaenia, Enteromius mattozi, Enteromius motebensis, Enteromius paludinosus, Enteromius radiatus, Enteromius toppini, Enteromius treurensis, Enteromius trimaculatus, Enteromius viviparus, Labeo congoro, Labeo cylindricus, Labeo molybdinus, Labeo rosae, Labeo rubromaculatus, Labeo ruddi, Labeobarbus natalensis, Labeobarbus nelspruitensis, Pseudobarbus senticeps, Pseudobarbus swartzi, Micropanchax johnstoni, Xiphophorus hellerii, Xiphophorus maculatus, Nothobranchius orthonotus, Nothobranchius pienaari, Megalops cyprinoides, Kneria auriculata, Marcusenius caudisquamatus, Marcusenius krameri, Petrocephalus wesselsi, Ambassis ambassis, Ctenopoma multispine, Microctenopoma intermedium, Sandelia bainsii, Oreochromis aureus, Oreochromis placidus, Serranochromis meridianus, Silhouettea sibayi, Perca fluviatilis, Salvelinus fontinalis, Austroglanis sclateri, Chiloglanis anoterus, Chiloglanis bifurcus, Chiloglanis emarginatus, Chiloglanis paratus, Chiloglanis pretoriae, Chiloglanis swierstrai, Schilbe intermedius, Anguilla bicolor, Brycinus imberi, Enteromius anoplus, Enteromius brevipinnis, Enteromius lineomaculatus, Enteromius neefi, Enteromius pallidus, Enteromius unitaeniatus, Hypophthalmichthys molitrix, Labeo capensis, Labeobarbus aeneus, Labeobarbus marequensis, Labeobarbus polylepis, Pseudobarbus skeltoni, Pseudobarbus phlegethon, Pseudobarbus quathlambae, Pseudobarbus tenuis, Marcusenius pongolensis, Ambassis natalensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003783-250827131500795/datasets/export for details.
DOI: 10.5281/zenodo.16982727
title: Bone Tool Texture Data and BagFDA Model — Archaeological Samples from Shuidonggou Loc. 12 and Experimental Reference

description: Data for the journal paper "Beyond Formal Implements: How Expedient Bone Tools Shaped Winter Survival Strategies at Shuidonggou Locality 12"
DOI: 10.5281/zenodo.6061290
title: Meta-EEG of Siena Scalp EEG Database v1.0.0

description: Artificial intelligence (AI) based automated epilepsy diagnosis has aimed to ease the burden of manual detection, prediction, and management of seizure and epilepsy-specific EEG signals for medical specialists. With increasing open-source, raw and large EEG databases, there is a need for data standardization of patient and seizure sensitive AI analysis with reduced redundant information. This work releases a balanced, annotated, fixed time and length meta-data of Siena Scalp EEG database v1.0.0.

The work releases patient inter-specific and patient non-specific EEG data extracted using specific time stamps of ictal, pre-ictal, post-ictal and peri-ictal EEG provided in the original database (annotations). Further details of this metadata can be found in the provided csv file (Siena DB timestamp.csv). The released EEG data is available in csv format and class labels are provided in the last row of the csv files. PN00-3 has not been included in this database. 

 

Latest update: The dataset has been moved to:  Data of Meta-EEGs

Please only download and cite the latest version!
DOI: 10.15468/dl.c7ffbx
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Callochromis melanostigma)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003784-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6061289
title: Meta-EEG of Siena Scalp EEG Database v1.0.0

description: Artificial intelligence (AI) based automated epilepsy diagnosis has aimed to ease the burden of manual detection, prediction, and management of seizure and epilepsy-specific EEG signals for medical specialists. With increasing open-source, raw and large EEG databases, there is a need for data standardization of patient and seizure sensitive AI analysis with reduced redundant information. This work releases a balanced, annotated, fixed time and length meta-data of Siena Scalp EEG database v1.0.0.

The work releases patient inter-specific and patient non-specific EEG data extracted using specific time stamps of ictal, pre-ictal, post-ictal and peri-ictal EEG provided in the original database (annotations). Further details of this metadata can be found in the provided csv file (Siena DB timestamp.csv). The released EEG data is available in csv format and class labels are provided in the last row of the csv files. PN00-3 has not been included in this database. 

 

Latest update: The dataset has been moved to:  Data of Meta-EEGs

Please only download and cite the latest version!
DOI: 10.15468/dl.twquaf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larix kaempferi",
 "Country is Armenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003786-250827131500795/datasets/export for details.
DOI: 10.15468/dl.smtc56
title: Occurrence Download

description: A dataset containing 716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larix kaempferi",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 716 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003788-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9drj9h
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larix kaempferi",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003787-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z2fxb8
title: Occurrence Download

description: A dataset containing 8743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Artocarpus altilis"
 ]
}

 The dataset includes 8743 records from 340 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003785-250827131500795/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.29995657.v1
title: Bangladesh Wetland

description: The wetland subclasses in Bangladesh (flooded flat, mangrove, and marsh)
DOI: 10.5281/zenodo.6062371
title: Meta-EEG of CHB-MIT Scalp EEG Database v1.0.0.0

description: Artificial intelligence (AI) based automated epilepsy diagnosis has aimed to ease the burden of manual detection, prediction, and management of seizure and epilepsy-specific EEG signals for medical specialists. With increasing open-source, raw, and large EEG datasets, there is a need for data standardization of patient and seizure-sensitive AI analysis with reduced redundant information. This work releases a balanced, annotated, fixed time and length meta-data of CHB-MIT Scalp EEG database v1.0.0.0.

The work releases patient-specific (inter and intra) and patient non-specific EEG data extracted using specific time stamps of ictal, pre-ictal, post-ictal, peri-ictal, and non-seizure EEG provided in the original dataset (annotations). Further details of this metadata can be found in the provided csv file (CHB-MIT DB timestamp.csv). The released EEG data is available in csv format and class labels are provided in the last row of the csv files. Data of ch06, ch12, ch23, and ch24 in patient-specific and chb24_11 in patient non-specific have not been included. The importance of peri-ictal EEGs has been elucidated in Handa, P., & Goel, N. (2021). Peri‐ictal and non‐seizure EEG event detection using generated metadata. Expert Systems, e12929.

Latest update: The dataset has been moved to:  Data of Meta-EEGs

Please only download and cite the latest version!
DOI: 10.5281/zenodo.6062372
title: Meta-EEG of CHB-MIT Scalp EEG Database v1.0.0.0

description: Artificial intelligence (AI) based automated epilepsy diagnosis has aimed to ease the burden of manual detection, prediction, and management of seizure and epilepsy-specific EEG signals for medical specialists. With increasing open-source, raw, and large EEG datasets, there is a need for data standardization of patient and seizure-sensitive AI analysis with reduced redundant information. This work releases a balanced, annotated, fixed time and length meta-data of CHB-MIT Scalp EEG database v1.0.0.0.

The work releases patient-specific (inter and intra) and patient non-specific EEG data extracted using specific time stamps of ictal, pre-ictal, post-ictal, peri-ictal, and non-seizure EEG provided in the original dataset (annotations). Further details of this metadata can be found in the provided csv file (CHB-MIT DB timestamp.csv). The released EEG data is available in csv format and class labels are provided in the last row of the csv files. Data of ch06, ch12, ch23, and ch24 in patient-specific and chb24_11 in patient non-specific have not been included. The importance of peri-ictal EEGs has been elucidated in Handa, P., & Goel, N. (2021). Peri‐ictal and non‐seizure EEG event detection using generated metadata. Expert Systems, e12929.

Latest update: The dataset has been moved to:  Data of Meta-EEGs

Please only download and cite the latest version!
DOI: 10.15468/dl.2782a6
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tropidophoxinellus spartiaticus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003789-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.