cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/k62c-5v35
title: Hornby Lake diatom surface sample dataset

description: Raw data for the Hornby Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/b932hf49k7
title: Daily drought-flood abrupt alternation index

description: 30-day drought-flood abrupt alternation index, China
DOI: 10.17632/b932hf49k7.1
title: Daily drought-flood abrupt alternation index

description: 30-day drought-flood abrupt alternation index, China
DOI: 10.17632/ty6nxkm3h9.1
title: Soil aggregate stability and erodibility in typical Robinia pseudoacacia L. mixed forests

description: The database includes information on the particle size distribution of single soil particles and aggregates, aggregate stability, and soil erodibility in different Robinia pseudoacacia L. mixed forests.
DOI: 10.17632/7x8xv2yf23.1
title: Supplementary material for "Impact of geodetic information, subduction zone segmentation, and slow-slip events in probabilistic seismic hazard: A case study for Costa Rica"

description: This repository contains the main input files used for the seismic hazard calculations performed with the OpenQuake engine, including the modified source model and logic tree configurations based on CRSHM 2022 (Hidalgo-Leiva et al., 2023). It also includes main output files (e.g., hazard maps and ground motion grids, hazard curves, and disaggregation) and a filtered list of earthquakes with magnitudes Mw ≥ 7 from Arroyo-Solorzano adn Linkimer (2021) used in the analysis described in the discussion for the recurrence periods in the Nicoya and Osa peninsulas.
DOI: 10.17632/7x8xv2yf23.2
title: Supplementary material for "Impact of geodetic information, subduction zone segmentation, and slow-slip events in probabilistic seismic hazard: A case study for Costa Rica"

description: This repository contains the main input files used for the seismic hazard calculations performed with the OpenQuake engine, including the modified source model and logic tree configurations based on the 2022 Costa Rica seismic hazard model (Hidalgo-Leiva et al., 2023). It also includes main output files (e.g., hazard maps and ground motion grids, hazard curves, and disaggregation) and a filtered list of earthquakes with magnitudes Mw ≥ 7 from Arroyo-Solorzano and Linkimer (2021) used in the analysis described in the discussion for the recurrence periods in the Nicoya and Osa peninsulas.
DOI: 10.21233/sak0-dk80
title: Tena191 pollen surface sample dataset

description: Raw data for the Tena191 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.tuvj45
title: Occurrence Download

description: A dataset containing 90 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode IN ('RU', 'JP', 'CN', 'KP')
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND (occurrence.taxonkey = 5582223 OR occurrence.acceptedtaxonkey = 5582223 OR occurrence.kingdomkey = 5582223 OR occurrence.phylumkey = 5582223 OR occurrence.classkey = 5582223 OR occurrence.orderkey = 5582223 OR occurrence.familykey = 5582223 OR occurrence.genuskey = 5582223 OR occurrence.specieskey = 5582223)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 90 records were derived from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023392-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d9bxtg3cf4.1
title: Paleoenvironmental reconstitution of a coastal tropical peatland and its relationship with the Holocene sea level variation (SE Brazil)

description: Elemental and isotopic geochemistry data at regular intervals of an Organosol profile - Brazil.
DOI: 10.21233/exqw-w856
title: Turkey Creek Site 6 Reservoir water chemistry dataset

description: Raw data for the Turkey Creek Site 6 Reservoir water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/k647875yyy.1
title: Biogenic amine - data. Cesena.

description: Date on the location of isolation of E. faecalios strains used to study the ability to produce biogenic amines.
DOI: 10.21233/sf2s-x915
title: Bellengreville pollen dataset

description: Raw data for the Bellengreville pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/4fxa-g784
title: Wager Gulch Iron Fen testate amoebae surface sample dataset

description: Raw data for the Wager Gulch Iron Fen testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/znxjncgjkc.2
title: Dal Lake Floating Plastic Waste Detection Dataset (FloPWD 2025)

description: The Dal Lake Floating Plastic Waste Detection Dataset (FloPWD 2025) presents a novel collection of about 2K high-resolution (1280×720) aerial images captured over Dal Lake, Srinagar, Jammu and Kashmir, India, along with manually annotated polygon-based segmentation masks. Each mask highlights the regions where floating plastic waste materials such as bottles, polythene bags, wrappers, and polystyrene containers are found. The images were collected using a drone-mounted aerial camera sponsored by a project funded by JKST&IC aimed at developing an AI-based software tool for environmental monitoring of water bodies. This dataset is curated to support research in plastic waste detection, environmental monitoring, and aerial image segmentation to promote the development of automated tools to aid targeted cleanup of water bodies and conservation efforts.

Supplementary Files Description(s)
(I) Image_labels_Binary Classification Task.csv -- This file provides binary classification labels for each aerial image to indicate whether visible plastic waste is present (yes) or absent (no). It enables training and evaluation of models for simple image-level classification of plastic waste occurrence without requiring segmentation.
(ii) Mask_foreground_percentages_Regression Task.csv -- This file contains the percentage of each image area covered by plastic waste, derived from the corresponding segmentation masks. It supports regression-based modeling to estimate the extent of plastic pollution in each image, useful for severity analysis and prioritization.
DOI: 10.17632/znxjncgjkc.1
title: Dal Lake Floating Plastic Waste Detection Dataset (FloPWD 2025)

description: The Dal Lake Floating Plastic Waste Detection Dataset (FloPWD 2025) presents a novel collection of about 2K high-resolution (1280×720) aerial images captured over Dal Lake, Srinagar, Jammu and Kashmir, India, along with manually annotated polygon-based segmentation masks. Each mask highlights the regions where floating plastic waste materials such as bottles, polythene bags, wrappers, and polystyrene containers are found. The images were collected using a drone-mounted aerial camera sponsored by a project funded by JKST&IC aimed at developing an AI-based software tool for environmental monitoring of water bodies. This dataset is curated to support research in plastic waste detection, environmental monitoring, and aerial image segmentation to promote the development of automated tools to aid targeted cleanup of water bodies and conservation efforts.
DOI: 10.17632/znxjncgjkc
title: Dal Lake Floating Plastic Waste Detection Dataset (FloPWD 2025)

description: To support semantic and instance segmentation tasks, the Dal Lake Floating Plastic Waste Detection Dataset (FloPWD 2025) includes four specialized files: Color_ID, JSON, TrainLabel_ID, and Instance_ID. The Color_ID file defines RGB color codes for each class (plastic waste, background) used in visualizing segmentation outputs. The JSON file contains polygonal annotations created using the VGG Image Annotator to specify the exact pixel regions corresponding to plastic waste. These annotations are further converted into TrainLabel_ID files, which assign unique integer class labels to each pixel to form the ground truth for semantic segmentation models. The Instance_ID file distinguishes between individual plastic waste instances within an image to support instance-level segmentation. Together, these files form the core data required for training and evaluating deep learning models in plastic waste detection at a pixel and object level.

Supplementary Files Description(s)

(i) Color_ID: This field maps each class (plastic waste [class 1] and background [class 2]) to a specific RGB color code. It is used primarily for visualization and post-processing of segmentation results.

(ii) JSON: This file contains the polygonal annotation coordinates (pixel-level) for plastic waste regions in each image, created using the VGG Image Annotator. These annotations are essential for generating ground truth labels such as TrainLabelID.

(iii) TrainLabel_ID: Represents the labeled pixel values used as ground truth for training semantic segmentation models. Each pixel is assigned an integer class ID based on the JSON annotations.

(iv) Instance_ID: Used in instance segmentation tasks to distinguish between different plastic waste objects within the same image, allowing models to segment multiple instances individually.
DOI: 10.17632/znxjncgjkc.3
title: Dal Lake Floating Plastic Waste Detection Dataset (FloPWD 2025)

description: To support semantic and instance segmentation tasks, the Dal Lake Floating Plastic Waste Detection Dataset (FloPWD 2025) includes four specialized files: Color_ID, JSON, TrainLabel_ID, and Instance_ID. The Color_ID file defines RGB color codes for each class (plastic waste, background) used in visualizing segmentation outputs. The JSON file contains polygonal annotations created using the VGG Image Annotator to specify the exact pixel regions corresponding to plastic waste. These annotations are further converted into TrainLabel_ID files, which assign unique integer class labels to each pixel to form the ground truth for semantic segmentation models. The Instance_ID file distinguishes between individual plastic waste instances within an image to support instance-level segmentation. Together, these files form the core data required for training and evaluating deep learning models in plastic waste detection at a pixel and object level.

Supplementary Files Description(s)

(i) Color_ID: This field maps each class (plastic waste [class 1] and background [class 2]) to a specific RGB color code. It is used primarily for visualization and post-processing of segmentation results.

(ii) JSON: This file contains the polygonal annotation coordinates (pixel-level) for plastic waste regions in each image, created using the VGG Image Annotator. These annotations are essential for generating ground truth labels such as TrainLabelID.

(iii) TrainLabel_ID: Represents the labeled pixel values used as ground truth for training semantic segmentation models. Each pixel is assigned an integer class ID based on the JSON annotations.

(iv) Instance_ID: Used in instance segmentation tasks to distinguish between different plastic waste objects within the same image, allowing models to segment multiple instances individually.
DOI: 10.15468/dl.nadwav
title: Occurrence Download

description: A dataset containing 24647 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Rudbeckia hirta L.",
 "Year 2019-2024"
 ]
}

 The dataset includes 24647 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023398-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6dtr2rjr2h.1
title: Petrologic reconstruction of sulfur transfer processes during mafic magma recharge: Insight from anhydrite-bearing mafic microgranular enclaves

description: Supplementary Tables S1-S6 for "Petrologic reconstruction of sulfur transfer processes during mafic magma recharge: Insight from anhydrite-bearing mafic microgranular enclaves". Supplementary Table S1 contains bulk-rock major element, trace element, and Sr isotope data. Supplementary Table S2 contains major element data of plagioclase. Supplementary Table S3 contains Sr isotope data of plagioclase. Supplementary Table S4 contains major element data of amphibole. Supplementary Table S5 contains trace element data of amphibole. Supplementary Table S6 contains major element data of apatite.
DOI: 10.21233/3n5z-2t51
title: LDDsite703 ostracode surface sample dataset

description: Raw data for the LDDsite703 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28748756
title: Genomic-based taxonomic classification of the order <i>Sphingomonadales</i>

description: Supplementary Material for ‘Genomic-based taxonomic classification of the order <i>Sphingomonadales</i>’, as described in International Journal of Systematic and Evolutionary Microbiology.
DOI: 10.6084/m9.figshare.28748756.v1
title: Genomic-based taxonomic classification of the order <i>Sphingomonadales</i>

description: Supplementary Material for ‘Genomic-based taxonomic classification of the order <i>Sphingomonadales</i>’, as described in International Journal of Systematic and Evolutionary Microbiology.
DOI: 10.17632/c79dcz24zn.1
title: LINF_170015900

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.21233/cazy-7y19
title: Rome Pond [Rome Mill Pond] ostracode surface sample dataset

description: Raw data for the Rome Pond [Rome Mill Pond] ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/svf6tz8w39.1
title: LINF_170016500

description: PCIF1-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.5284/1129616
title: Digital Archive from an Archaeological Evaluation at Windwhistle Farm, Grassmoor, Derbyshire, September to October 2015

description: This collection consists of site images, reports and records from an archaeological evaluation on land at Windwhistle Farm, Grassmoor, Derbyshire ahead of the proposed residential development of the site. The archaeological intervention was conducted between September and October 2015 by AOC Archaeology Group. The only features that were identified were associated with former colliery activity on or close to the site, comprising ditches with fills containing mining waste and spreads of waste material.
DOI: 10.17632/zn3bjhwgwv.1
title: LINF_170016900

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.21233/435n-6z50
title: Rutog County ostracode surface sample dataset

description: Raw data for the Rutog County ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/yd24mwpj6t.1
title: LINF_170017100

description: Amidase domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/6sy5gdk6cr.1
title: LINF_170017500

description: Nucleotide-binding domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.21233/dw79-6p84
title: Bison Alcove [42GR538] plant macrofossil dataset

description: Raw data for the Bison Alcove [42GR538] plant macrofossil dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.srqpqd
title: Occurrence Download

description: A dataset containing 373 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plant occurrences on small islands in the Raja Ampat Archipelago, Indonesia"
 ]
}

 The dataset includes 373 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023399-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/3ryx-hm55
title: NICHOL29 pollen surface sample dataset

description: Raw data for the NICHOL29 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/9y4a-xf35
title: Rehbein I [47RI81] vertebrate fauna dataset

description: Raw data for the Rehbein I [47RI81] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/b8whz69d55.1
title: RETROSPECTIVE BIOSTATISTICAL ANALYSIS DATA FOR ESTABLISHING SAFETY IN THE CONTEXT OF MONOTHERAPY INVOLVING LIFE SAVING DRUGS

description: Retrospective biostatistical analysis of monotherapy involving life-saving drugs involves studying existing data to evaluate the efficacy and safety of single-agent treatments. This approach helps researchers understand the benefits and risks associated with specific medications.

Applications
*Pharmacological modeling: Using mathematical modeling and statistical analysis to understand drug behavior and optimize treatment strategies.
DOI: 10.17632/84vknw3gbk.1
title: LINF_170018100

description: Ubiquitinyl hydrolase; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.15374636
title: Jöllenbeck Apotheke

description: Historical questionnaire/s  1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen]

Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot  be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht  veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.15374637
title: Jöllenbeck Apotheke

description: Historical questionnaire/s  1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen]

Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot  be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht  veröffentlicht werden dürfen).
DOI: 10.17632/sm9p8vzn34.1
title: LINF_170018200

description: Steroid 5-alpha reductase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.21233/mpf5-n910
title: Clear Lake Village [11T1] vertebrate fauna dataset

description: Raw data for the Clear Lake Village [11T1] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.