cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15176247
title: TABLE 1 in Larval descriptions and natural history of two endemic frogs (Amphibia: Anura) from the Western Ghats, India

description: TABLE 1. Morphometric measurements of the tadpoles of I. bhadrai (n=4) of Gosner Stages 36–38 in mm.
CharacterBNHS 6809BNHS 6810BNHS 6811BNHS 6812Mean ± SDRangeBL8.89.79.89.29.4 ± 0.458.8–9.8TaL15.416.116.015.415.7 ± 0.3815.4 -–16.1TL24.225.825.824.625.1 ± 0.8124.2–25.8BH3.33.63.63.13.4 ± 0.253.1–3.6BW4.45.06.04.55 ± 0.724.4–6.0ODW1.72.02.11.91.9 ± 0.181.7–2.1ED1.31.31.61.31.4 ± 0.141.3–1.6IOD1.81.62.01.41.7 ± 0.251.4–2.0IND1.51.51.61.61.6 ± 0.051.5–1.6NSD2.02.02.11.82 ± 0.121.8–2.1END1.41.21.61.61.5 ± 0.21.2–1.6ESD1.82.42.82.62.4 ± 0.421.8–2.8TMH1.01.11.31.31.2 ± 0.151.0–1.3
description: Published as part of Arpitha, J., Naveen, R. S. & Priti, Hebbar, 2025, Larval descriptions and natural history of two endemic frogs (Amphibia: Anura) from the Western Ghats, India, pp. 170 in Zootaxa 5604 (2) on page 170, DOI: 10.11646/zootaxa.5604.2.6, http://zenodo.org/record/15035676
DOI: 10.15468/dl.c6thc3
title: Occurrence Download

description: A dataset containing 72077 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nerium oleander L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 72077 records from 477 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011061-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15176249
title: TABLE 2 in Larval descriptions and natural history of two endemic frogs (Amphibia: Anura) from the Western Ghats, India

description: TABLE 2. Morphometric measurements of M. candidus tadpoles (n=4) at Gosner Stages 26–27, in mm.
CharacterBNHS 6827BNHS 6828BNHS 6829BNHS 6830Mean ± SDRangeBL11.110.910.19.810.5 ± 0.629.8–11.1TaL23.722.520.820.221.8 ± 1.620.2–23.7TL34.733.530.930.132.3 ± 2.1630.1–34.7BH3.43.23.043.13.2 ± 0.163–3.4BW4.64.44.33.74.3 ± 0.393.7–4.6ODW1.61.81.51.61.6 ± 0.131.5–1.8ED1.31.21.31.11.2 ± 0.11.1–1.3IOD1.41.31.51.31.4 ± 0.11.3–1.5IND2.32.12.011.92.1 ± 0.171.9–2.3ESD2.82.42.72.42.6 ± 0.212.4–2.8TMH3.83.002.993.13.2 ± 0.393–3.8TMW3.12.62.52.82.8 ± 0.262.5–3.1MTH5.25.25.25.35.2 ± 0.055.2–5.3TMHM3.82.72.83.23.1 ± 0.52.7–3.8DF0.71.11.21.21.1 ± 0.240.7–1.2VF0.71.41.21.01.1 ± 0.30.7–1.4
description: Published as part of Arpitha, J., Naveen, R. S. & Priti, Hebbar, 2025, Larval descriptions and natural history of two endemic frogs (Amphibia: Anura) from the Western Ghats, India, pp. 171 in Zootaxa 5604 (2) on page 171, DOI: 10.11646/zootaxa.5604.2.6, http://zenodo.org/record/15035676
DOI: 10.15468/dl.sjrpta
title: Occurrence Download

description: A dataset containing 1583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Echinochloa oryzoides (Ard.) Fritsch)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 1583 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011069-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwlpiu
title: Occurrence Download

description: A dataset containing 1047 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyracantha angustifolia (Franch.) C.K.Schneid."
 ]
}

 The dataset includes 1047 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002223-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-36858
title: Claims (GX 15136 - GX 15571), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.m9h7hm
title: Occurrence Download

description: A dataset containing 541 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Callicarpa arborea Roxb."
 ]
}

 The dataset includes 541 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051722-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-36879
title: Claims (GX 15136 - GX 15571), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.6084/m9.figshare.25765398
title: emolecules accessed on 2019-11-01

description: This is the in-stock molecule library from eMolecule accessed on 2019-11-01.
DOI: 10.15468/dl.a6dfpx
title: Occurrence Download

description: A dataset containing 276013 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lactuca serriola L."
 ]
}

 The dataset includes 276013 records from 2031 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003971-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12709823
title: Underwater images collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2023-11-10

description: This dataset was collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2023-11-10. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
description: The Plancha project is co-financed by the Prefecture of Reunion as part of a 2019-2022 convergence and transformation contract, measure 3.3.1.1
DOI: 10.5281/zenodo.12711066
title: Underwater images collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2023-11-10

description: This dataset was collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2023-11-10. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
description: The Plancha project is co-financed by the Prefecture of Reunion as part of a 2019-2022 convergence and transformation contract, measure 3.3.1.1
DOI: 10.5281/zenodo.12713225
title: Underwater images collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2023-11-10

description: This dataset was collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2023-11-10. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
description: The Plancha project is co-financed by the Prefecture of Reunion as part of a 2019-2022 convergence and transformation contract, measure 3.3.1.1
DOI: 10.26023/vvzr-81t0-aj10
title: PERiLS_2023: NOAA PSL Radar Wind Profiler, Radio Acoustic Sounding System, and Surface Meteorology Data. Version 1.0

description: Vertical profiles of wind and virtual temperature and surface meteorology data from the NOAA/PSL Radar Wind Profilers (RWP), Radio Acoustic Sounding System (RASS) and weather stations that were deployed at Oakdale and Columbia, LA; Greenwood and Starkville, MS; and Courtland, AL for Propagation, Evolution and Rotation in Linear Storms (PERiLS) 2023 campaign.
DOI: 10.26023/qx88-tjap-4114
title: WINTRE-MIX: COW Parsivel Disdrometer Data. Version 1.0

description: This dataset contains data from a Parsivel optical disdrometer deployed at Sorel in support of the WINTRE-MIX field campaign. The instrument provides precipitation intensity and the drop-size distribution spectrum. The instrument was deployed with the Microwave Rain Radar at the COW radar site and was only operational during IOPs. The instrument was continuously running between 1 February to 15 March 2022, but no data were collected between 16 February to 2 March 2022 due to a loose cable.
DOI: 10.26023/f9h4-xxtf-8r0x
title: HIWC_2022: GOES-16 Convective Cloud Products. Version 1.0

description: This dataset detects and characterizes deep convective clouds, lightning activity, and potential locations of high ice water content using GOES-16 satellite imagery in support of the July 2022 NASA High Ice Water Content (HIWC 2022) campaign. GOES-16 Advanced Baseline Imager (ABI) and Geostationary Lightning Mapper (GLM) data are processed at 5-minute intervals and ~ 2 km pixel spacing over a geographic domain encompassing all of the DC-8 research flights using algorithms and statistical models developed at NASA Langley Research Center. The HIWC 2022 campaign was based in Jacksonville, Florida.
DOI: 10.26023/tgqv-gdr6-580b
title: TORUS-LItE: Multi-Network Highest Resolution Sounding Composite. Version 1.1

description: High vertical resolution radiosonde data from research and operational sources during the Targeted Observation by Radars and UAS of Supercells - Left-flank Intensive Experiment (TORUS-LItE) campaign converted into a common format (EOL Sounding Composite format which is a columnar ASCII format). The composite includes data from radiosondes from locations around the central United States. The radiosondes were released by NOAA/NSSL, the University of Nebraska-Lincoln and NOAA/NWS (19 sites).
DOI: 10.5281/zenodo.17288015
title: SUMO Coaching Program

description: This work is an original coaching methodology created by coach / Esraa Amr . designed to guide individuals through personal growth and emotional awareness and self-empowerment
DOI: 10.5281/zenodo.17288017
title: SUMO Coaching Program

description: This work is an original coaching methodology created by coach / Esraa Amr . designed to guide individuals through personal growth and emotional awareness and self-empowerment
DOI: 10.26023/p2vc-ev45-ae0a
title: TORUS-LItE: Multi-Network 5mb Vertical Resolution Sounding Composite. Version 1.1

description: Interpolated 5hPa vertical resolution radiosonde data from research and operational sources during the Targeted Observation by Radars and UAS of Supercells - Left-flank Intensive Experiment (TORUS-LItE) campaign converted into a common format (EOL Sounding Composite format which is a columnar ASCII format). The composite includes data from radiosondes from locations around the central United States. The radiosondes were released by NOAA/NSSL, the University of Nebraska-Lincoln and NOAA/NWS (19 sites).
DOI: 10.26023/adr1-fk7t-sp0y
title: PERiLS_2023: CLAMPS2 MWR TROPoe Retrieval Data. Version 1.0

description: TROPoe retrievals of temperature, water vapor mixing ratio, relative humidity, and dew point profiles every ten minutes from the MWR (Microwave Radiometer) that was deployed as part of the OU/NSSL CLAMPS-2 (Collaborative Lower Atmospheric Mobile Profiling System) site at Lake Village, Arkansas for the Propagation, Evolution and Rotation in Linear Storms (PERiLS) 2023 campaign.
DOI: 10.15468/dl.znmze9
title: Occurrence Download

description: A dataset containing 228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syringa chinensis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 228 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051439-251009101135966/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.30422854
title: test

description: test
DOI: 10.6084/m9.figshare.30422854.v2
title: test

description: test
DOI: 10.6084/m9.figshare.30422854.v1
title: MP-20-Charge-test

description: test
DOI: 10.15468/dl.acvu5g
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Forcartia"
 ]
}

 The dataset includes 91 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051441-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13821885
title: KM2209 SCOPE-PARAGON-2 CTD data

description: The 2022 SCOPE-PARAGON-II research expedition was a coordinated effort to characterize particle dynamics and remineralization in the upper 500 m of the North Pacific Subtropical Gyre. Despite the importance of particles as key sites of biological activity in an otherwise dilute seawater medium, there remain major gaps in our understanding of the specific processes and organisms controlling particle transformations. The 2022 SCOPE-PARAGON-II cruise was directed towards understanding the processes and rates of biological particulate matter transformations (e.g., production, decomposition, sinking) as well as the ecological interactions that occur in association with suspended and sinking particles. These targeted studies of particle dynamics at Station ALOHA leveraged ongoing ecological and biogeochemical modeling efforts in SCOPE. Time stamps are in UTC.
DOI: 10.15468/dl.m372tm
title: Occurrence Download

description: A dataset containing 261262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Pteroglossus torquatus"
 ]
}

 The dataset includes 261262 records from 219 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051413-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13821884
title: KM2209 SCOPE-PARAGON-2 CTD data

description: The 2022 SCOPE-PARAGON-II research expedition was a coordinated effort to characterize particle dynamics and remineralization in the upper 500 m of the North Pacific Subtropical Gyre. Despite the importance of particles as key sites of biological activity in an otherwise dilute seawater medium, there remain major gaps in our understanding of the specific processes and organisms controlling particle transformations. The 2022 SCOPE-PARAGON-II cruise was directed towards understanding the processes and rates of biological particulate matter transformations (e.g., production, decomposition, sinking) as well as the ecological interactions that occur in association with suspended and sinking particles. These targeted studies of particle dynamics at Station ALOHA leveraged ongoing ecological and biogeochemical modeling efforts in SCOPE. Time stamps are in UTC.
DOI: 10.57783/6wkm-cb14
title: LibreChat-TEST
DOI: 10.71947/arim.jpmxp1222ku1017
title: ZrO2担持Pt触媒の光電子分光(22KU1017_Pt/ZrO2_KU-501-1 XPS)
DOI: 10.71947/arim.jpmxp1222ku1019
title: 異種固体界面における高分子鎖の和周波発生分光(22KU1019_ポリメタクリル酸メチル_KU-503)
DOI: 10.71947/arim.jpmxp1222ku1041
title: プラズモンナノ粒子集合体のXPS組成分析(22KU1041_Agナノ粒子_KU-501-1 XPS)
DOI: 10.71947/arim.jpmxp1222ku1045
title: アスベスト含有廃棄物のラマン分光(22KU1045_災害廃棄建材2-B(アスベスト、有機繊維）_KU-504-1)
DOI: 10.71947/arim.jpmxp1222ku1050
title: 酸素発生用触媒（Ni-Fe/C）のガス吸着・脱離(22KU1050_Ni2Fe/C_KU-517-2)
DOI: 10.71947/arim.jpmxp1225os9001-1
title: Au, Cr, Tiスパッタ成膜リファレンスデータ：OS-114RFスパッタ成膜装置（金属成膜用）