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

description: A dataset containing 3903 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Delphinapterus leucas",
 "Year 2000-2015"
 ]
}

 The dataset includes 3903 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039735-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8rcxcq
title: Occurrence Download

description: A dataset containing 821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "StateProvince is one of (Oregon, Washington)",
 "TaxonKey is Aureoboletus mirabilis"
 ]
}

 The dataset includes 821 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039736-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17633445
title: Femur vesseltree (aged mouse)

description: This repository is one part of three zenodo entries belonging to the same project, dealing with the vessel tree of femur bones.

Complete femur bones were extracted, stained, and imaged on light-sheet fluorescence microscope in small tiles as described in the accompanying publication (REF).

The individual tiles were stitched in Fiji using the BigStitcher and build the foundation of all analysis results shown here. Individual tiles can be obtained upon request (too large file size for a single zenodo entry).

Each femur was imaged on four different channels:ch0: Megakaryocytes (Anti-GPIX labeled with Alexa750)ch1: Blood vessels (CD31-high, Anti-CD31 labeled with Alexa647)ch2: Blood vessels (CD31-low, Anti-CD105 labeled with  Alexa546)ch3: (residual) Autofluorescence, captured at 488 nm

Three samples are provided:

1) Young naive mouse: VK-AA501 (10.5281/zenodo.14752863)

2) Aged mouse: VK-AA760 (10.5281/zenodo.14753479)

3) Blood-let mouse: VK-AA764 (10.5281/zenodo.14753578)

4) Young naive female mouse: DS-AA464

5) Aged female mouse: DS-AA470
DOI: 10.15468/dl.82yxxc
title: Occurrence Download

description: A dataset containing 675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platycephalus endrachtensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 675 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039734-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14753478
title: Femur vesseltree (aged mouse)

description: This repository is one part of three zenodo entries belonging to the same project, dealing with the vessel tree of femur bones.

Complete femur bones were extracted, stained, and imaged on light-sheet fluorescence microscope in small tiles as described in the accompanying publication (REF).

The individual tiles were stitched in Fiji using the BigStitcher and build the foundation of all analysis results shown here. Individual tiles can be obtained upon request (too large file size for a single zenodo entry).

Each femur was imaged on four different channels:ch0: Megakaryocytes (Anti-GPIX labeled with Alexa750)ch1: Blood vessels (CD31-high, Anti-CD31 labeled with Alexa647)ch2: Blood vessels (CD31-low, Anti-CD105 labeled with  Alexa546)ch3: (residual) Autofluorescence, captured at 488 nm

Three samples are provided:

1) Young naive mouse: VK-AA501 (10.5281/zenodo.14752863)

2) Aged mouse: VK-AA760 (10.5281/zenodo.14753479)

3) Blood-let mouse: VK-AA764 (10.5281/zenodo.14753578)

4) Young naive female mouse: DS-AA464

5) Aged female mouse: DS-AA470
DOI: 10.15468/dl.9bdgax
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039739-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gvvyd
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-32.33343 32.27208,31.33343 32.27208,31.33343 57.72792,-32.33343 57.72792,-32.33343 32.27208))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Antirrhinum charidemi"
 ]
}

 The dataset includes 78 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039742-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqghrc
title: Occurrence Download

description: A dataset containing 1993 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Distribución, estructura poblacional y utilización del saguaro (Carnegiea gigantea (Engelm.) Britt. & Rose) en México"
 ]
}

 The dataset includes 1993 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039740-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfj6pk
title: Occurrence Download

description: A dataset containing 156595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbarea vulgaris",
 "HasCoordinate is true"
 ]
}

 The dataset includes 156595 records from 1248 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039708-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r93egs
title: Occurrence Download

description: A dataset containing 11707502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Oceania",
 "Country is Australia",
 "DatasetKey is EOD – eBird Observation Dataset",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2021-2022"
 ]
}

 The dataset includes 11707502 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008477-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10495009
title: Improved Storm Surge Prediction and Extreme Sea Level Future Projections in the  Indian Ocean using Deep Learning
title: Indian Ocean hourly storm surge reconstruction (IOSRR)

description: LSTM-Based Storm Surge Data Reconstruction and Climate Projections for 29 Tide Gauge Locations in the Indian Ocean





IOSSR – Indian Ocean Storm Surge Reconstruction:This dataset provides hourly storm surge reconstructions from 1979 to 2021 at 29 tide gauge locations across the Indian Ocean. Reconstructions are generated using a data-driven Long Short-Term Memory (LSTM) deep learning model.





The model uses atmospheric predictors from the ERA5 reanalysis dataset, including wind speed, sea-level pressure, and air temperature.






Historical and Future Climate Projections:Storm surge projections (1979-2100) are produced using the LSTM model driven by bias-corrected predictors from Coupled Model Intercomparison Project Phase 6 (CMIP6) climate model ensemble.





The predictor data for CMIP6 models are sourced from Xu et al., 2021, who compiled an ensemble dataset using outputs from 18 CMIP6 models.



The projections include:





Hist: Historical period simulation using CMIP6 predictors.




SSP2-4.5: A moderate-emissions scenario reflecting middle-of-the-road development pathways.




SSP5-8.5: A high-emissions scenario based on continued reliance on fossil fuels.




 Projections of ESL100 along tide gauge locations in the Indian Ocean.The projections include the 17th, 50th, and 83rd percentiles of  ESL100 each year under SSP585.


 

Reference:-

Xu, Z., Han, Y., Tam, CY. et al. Bias-corrected CMIP6 global dataset for dynamical downscaling of the historical and future climate (1979–2100). Sci Data 8, 293 (2021). https://doi.org/10.1038/s41597-021-01079-3
DOI: 10.5281/zenodo.10495010
title: Indian Ocean hourly storm surge reconstruction (IOSRR)

description: Hourly storm surge data reconstruction along the Indian Ocean tide gauge locations using a data-driven LSTM model. Predictors include atmospheric wind, pressure, and air temperature.
DOI: 10.5281/zenodo.14697635
title: Improved Storm Surge Prediction and Extreme Sea Level Future Projections in the  Indian Ocean using Deep Learning
title: Indian Ocean hourly storm surge reconstruction (IOSRR)

description: Hourly storm surge data reconstruction along the Indian Ocean tide gauge locations using a data-driven LSTM model. Predictors include atmospheric wind, pressure, and air temperature.
DOI: 10.5281/zenodo.14697673
title: Improved Storm Surge Prediction and Extreme Sea Level Future Projections in the  Indian Ocean using Deep Learning
title: Indian Ocean hourly storm surge reconstruction (IOSRR)

description: LSTM-Based Storm Surge Data Reconstruction and Climate Projections for 29 Tide Gauge Locations in the Indian Ocean





IOSSR – Indian Ocean Storm Surge Reconstruction:This dataset provides hourly storm surge reconstructions from 1979 to 2021 at 29 tide gauge locations across the Indian Ocean. Reconstructions are generated using a data-driven Long Short-Term Memory (LSTM) deep learning model.





The model uses atmospheric predictors from the ERA5 reanalysis dataset, including wind speed, sea-level pressure, and air temperature.






Historical and Future Climate Projections:Storm surge projections (1979-2100) are produced using the LSTM model driven by bias-corrected predictors from Coupled Model Intercomparison Project Phase 6 (CMIP6) climate model ensemble.





The predictor data for CMIP6 models are sourced from Xu et al., 2021, who compiled an ensemble dataset using outputs from 18 CMIP6 models.



The projections include:





Hist: Historical period simulation using CMIP6 predictors.




SSP2-4.5: A moderate-emissions scenario reflecting middle-of-the-road development pathways.




SSP5-8.5: A high-emissions scenario based on continued reliance on fossil fuels.





 

Reference :

Xu, Z., Han, Y., Tam, CY. et al. Bias-corrected CMIP6 global dataset for dynamical downscaling of the historical and future climate (1979–2100). Sci Data 8, 293 (2021). https://doi.org/10.1038/s41597-021-01079-3
DOI: 10.5281/zenodo.15552629
title: Improved Storm Surge Prediction and Extreme Sea Level Future Projections in the  Indian Ocean using Deep Learning
title: Indian Ocean hourly storm surge reconstruction (IOSRR)

description: LSTM-Based Storm Surge Data Reconstruction and Climate Projections for 29 Tide Gauge Locations in the Indian Ocean





IOSSR – Indian Ocean Storm Surge Reconstruction:This dataset provides hourly storm surge reconstructions from 1979 to 2021 at 29 tide gauge locations across the Indian Ocean. Reconstructions are generated using a data-driven Long Short-Term Memory (LSTM) deep learning model.





The model uses atmospheric predictors from the ERA5 reanalysis dataset, including wind speed, sea-level pressure, and air temperature.






Historical and Future Climate Projections:Storm surge projections (1979-2100) are produced using the LSTM model driven by bias-corrected predictors from Coupled Model Intercomparison Project Phase 6 (CMIP6) climate model ensemble.





The predictor data for CMIP6 models are sourced from Xu et al., 2021, who compiled an ensemble dataset using outputs from 18 CMIP6 models.



The projections include:





Hist: Historical period simulation using CMIP6 predictors.




SSP2-4.5: A moderate-emissions scenario reflecting middle-of-the-road development pathways.




SSP5-8.5: A high-emissions scenario based on continued reliance on fossil fuels.




 Projections of ESL100 along tide gauge locations in the Indian Ocean.The projections include the 17th, 50th, and 83rd percentiles of  ESL100 each year under SSP585.


 

Reference:-

Xu, Z., Han, Y., Tam, CY. et al. Bias-corrected CMIP6 global dataset for dynamical downscaling of the historical and future climate (1979–2100). Sci Data 8, 293 (2021). https://doi.org/10.1038/s41597-021-01079-3
DOI: 10.15468/dl.3smk9u
title: Occurrence Download

description: A dataset containing 3781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IND.16.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Coracias benghalensis (Linnaeus, 1758)",
 "Year 2022-2025"
 ]
}

 The dataset includes 3781 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011575-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hjdnh7
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "GbifRegion is Asia",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "MediaType is Image",
 "TaxonKey is Cuon alpinus (Pallas, 1811)",
 "Year 2000-2025"
 ]
}

 The dataset includes 318 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011159-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15463343
title: Dataset for "Producing breakthrough innovation in business ecosystems: the moderating effect of absorptive and desorptive capacity"

description: This dataset contains the data used in the article titled “Producing breakthrough innovation in business ecosystems: the moderating effect of absorptive and desorptive capacity”, submitted to Technological Forecasting and Social Change. 

It includes the SPSS file (.sav) with all variables used in the empirical analysis, without additional computed constructs or processed scores. Variable labels are provided to support interpretation.

The dataset will be made publicly available upon article acceptance and publication.
DOI: 10.5281/zenodo.15463345
title: Dataset for "Producing breakthrough innovation in business ecosystems: the moderating effect of absorptive and desorptive capacity"

description: This dataset contains the data used in the article titled “Producing breakthrough innovation in business ecosystems: the moderating effect of absorptive and desorptive capacity”, submitted to Technological Forecasting and Social Change. 

It includes the SPSS file (.sav) with all variables used in the empirical analysis, without additional computed constructs or processed scores. Variable labels are provided to support interpretation.

The dataset will be made publicly available upon article acceptance and publication.
DOI: 10.15468/dl.kecpx3
title: Occurrence Download

description: A dataset containing 44391 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 Moraea Mill."
 ]
}

 The dataset includes 44391 records from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006949-250515123054153/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.29098706
title: Logical Fault Detection Approach for Mixed Control Flipping Faults in Reversible Circuits

description: Due to the rapid development of computing machines in terms of micro-architectural designs, millions of transistors are involved per chip, which leads to complex digital circuit design and meets the demands of more computational power. It indicates that a single transistor’s size is advancing at the atomic scale in future computing technologies. The gain of loss-less bit information in reversible logic computation is highly acceptable in modern computing devices. Therefore, motivated by these, researchers have explored the reversible logic concept for applying newer technologies such as quantum computing, optical computing, nanotechnology, DNA computing, digital communication systems, low-power CMOS design, etc. In the current literature, numerous developments on synthesis and optimization in reversible circuits have been proposed. Simultaneously, in order to observe the correct behavior of reversible circuits in terms of performing the correct functionality and integrity performance, testing plays an important role. In this article, we consider a fault model labeled the Mixed Control Flipping Fault (MixCFF) model that is applied in the reversible circuit, which is also relevant to the quantum circuits for representing the faults. The proposed work presents an automatic test pattern generation (ATPG) algorithm to detect the MixCFF. The proposed MixCFF model enables the correlation between the existing fault models in the reversible circuit, which are also presented in the proposed work. Experimental results are evaluated based on the MixCFF detection and the MixCFF fault coverage range with the help of different benchmark circuits using the suggested ATPG algorithm.
DOI: 10.6084/m9.figshare.29098706.v1
title: Logical Fault Detection Approach for Mixed Control Flipping Faults in Reversible Circuits

description: Due to the rapid development of computing machines in terms of micro-architectural designs, millions of transistors are involved per chip, which leads to complex digital circuit design and meets the demands of more computational power. It indicates that a single transistor’s size is advancing at the atomic scale in future computing technologies. The gain of loss-less bit information in reversible logic computation is highly acceptable in modern computing devices. Therefore, motivated by these, researchers have explored the reversible logic concept for applying newer technologies such as quantum computing, optical computing, nanotechnology, DNA computing, digital communication systems, low-power CMOS design, etc. In the current literature, numerous developments on synthesis and optimization in reversible circuits have been proposed. Simultaneously, in order to observe the correct behavior of reversible circuits in terms of performing the correct functionality and integrity performance, testing plays an important role. In this article, we consider a fault model labeled the Mixed Control Flipping Fault (MixCFF) model that is applied in the reversible circuit, which is also relevant to the quantum circuits for representing the faults. The proposed work presents an automatic test pattern generation (ATPG) algorithm to detect the MixCFF. The proposed MixCFF model enables the correlation between the existing fault models in the reversible circuit, which are also presented in the proposed work. Experimental results are evaluated based on the MixCFF detection and the MixCFF fault coverage range with the help of different benchmark circuits using the suggested ATPG algorithm.
DOI: 10.18112/openneuro.ds006233.v1.0.0
title: Picture naming
DOI: 10.15468/dl.zyvn3m
title: Occurrence Download

description: A dataset containing 11288 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 Moringa Adans."
 ]
}

 The dataset includes 11288 records from 278 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006951-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nn8f97
title: Occurrence Download

description: A dataset containing 46223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Physeter macrocephalus Linnaeus, 1758",
 "HasCoordinate is true",
 "Geometry POLYGON((-6.000000 30.000000, -6.000000 47.000000, 42.000000 47.000000, 42.000000 30.000000, -6.000000 30.000000))"
 ]
}

 The dataset includes 46223 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002724-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.35097/x5k82p7c6bza3kga
title: DAMAST-KIT-2: Geophysical Borehole Logging Data

description: The repository contains a general description of borehole location and logging information, the raw data file in WellCAD-Format and a pdf of the logging data.
DOI: 10.3535/68j-wx6-dy2
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v6z-mxn-l90
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/flg-mpz-v6r
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xjd-8j4-2l4
title: †Nummulites Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0bw-zy6-t25
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/10e-cvy-ehp
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v0d-j8k-q0t
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b35-kfx-504
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xf0-fr5-9tz
title: †Lepidocyclina Gümbel, 1870

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nps-1s0-9ep
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1vn-kb0-fga
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tkk-61d-8vf
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4qv-st8-p0s
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/507-m8l-bqa
title: Amphistegina d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l34-3yd-7fa
title: †Pellatispira Boussac, 1906

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2fm-pd8-5mg
title: †Lepidocyclina Gümbel, 1870

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m1l-ma5-skt
title: Sigmoilopsis arenaria (Brady, 1884)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8rl-g68-8ad
title: †Borelis melo (Fichtel & Moll, 1798)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f74-ck9-mxp
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l19-zkz-cnk
title: Amphistegina d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.