cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.89cqrb
title: Occurrence Download

description: A dataset containing 9659 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (January, February)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aythya marila (Linnaeus, 1761)",
 "Year 2011-2011"
 ]
}

 The dataset includes 9659 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000085-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qug8bz
title: Occurrence Download

description: A dataset containing 348 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Choristoneura freemani Razowski, 2008"
 ]
}

 The dataset includes 348 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000086-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14905599
title: AMPERE Summary Plot Movies (2017-Apr)

description: 2017-Apr AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14905600
title: AMPERE Summary Plot Movies (2017-Apr)

description: 2017-Apr AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14436099
title: BioSR for LLS-SIM: Dataset of ER (metaphase of mitosis)

description: This is LLS-SIM dataset of ER (metaphase of mitosis), which is a part of BioSR for LLS-SIM dataset (https://doi.org/10.5281/zenodo.14322457).

BioSR for LLS-SIM is a biological image dataset acquired using our home-built lattice light-sheet structured illumination microscopy (LLS-SIM). It currently includes paired diffraction-limited LLSM and LLS-SIM images of a variety of biology structures, constituting a high-quality volumetric SR dataset. The BioSR for LLS-SIM dataset originates from our paper [Qiao, C., Li, Z., Wang, Z., Lin, Y., ... & Li, D. (2024). Fast adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging. bioRxiv, 2024-05], serving as the supplementary data to execute meta-training or other proposed deep-learning-based algorithms, which provides sources for the community to try our methods, replicate our results, and develop their own methods for super-resolution lattice light-sheet microscopy.

The BioSR for LLS-SIM dataset includes 10 diverse task datasets from 10 distinct biological specimens (granular component, chromosomes, fibrillar center, fibrillarin, Lyso, MTs, F-actin in pollen tubes, inner mitochondrial membrane, ER in adherent Cos-7 cells and ER in mitotic Hela cells during metaphase). For each type of samples, we acquired raw LLS-SIM images from about 30-50 ROIs. For each ROI, five different levels of light intensity ranging from low to high fluorescence levels were acquired, and the images of the highest fluorescence level (i.e. the GT raw images) were reconstructed into high-quality GT LLS-SIM images via the conventional LLS-SIM reconstruction algorithm, which could be used as the groud truth in the training phase of deep-learning models.
DOI: 10.5281/zenodo.14436100
title: BioSR for LLS-SIM: Dataset of ER (metaphase of mitosis)

description: This is LLS-SIM dataset of ER (metaphase of mitosis), which is a part of BioSR for LLS-SIM dataset (https://doi.org/10.5281/zenodo.14322457).

BioSR for LLS-SIM is a biological image dataset acquired using our home-built lattice light-sheet structured illumination microscopy (LLS-SIM). It currently includes paired diffraction-limited LLSM and LLS-SIM images of a variety of biology structures, constituting a high-quality volumetric SR dataset. The BioSR for LLS-SIM dataset originates from our paper [Qiao, C., Li, Z., Wang, Z., Lin, Y., ... & Li, D. (2024). Fast adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging. bioRxiv, 2024-05], serving as the supplementary data to execute meta-training or other proposed deep-learning-based algorithms, which provides sources for the community to try our methods, replicate our results, and develop their own methods for super-resolution lattice light-sheet microscopy.

The BioSR for LLS-SIM dataset includes 10 diverse task datasets from 10 distinct biological specimens (granular component, chromosomes, fibrillar center, fibrillarin, Lyso, MTs, F-actin in pollen tubes, inner mitochondrial membrane, ER in adherent Cos-7 cells and ER in mitotic Hela cells during metaphase). For each type of samples, we acquired raw LLS-SIM images from about 30-50 ROIs. For each ROI, five different levels of light intensity ranging from low to high fluorescence levels were acquired, and the images of the highest fluorescence level (i.e. the GT raw images) were reconstructed into high-quality GT LLS-SIM images via the conventional LLS-SIM reconstruction algorithm, which could be used as the groud truth in the training phase of deep-learning models.
DOI: 10.5281/zenodo.14904997
title: BioSR for LLS-SIM: Dataset of ER (metaphase of mitosis)

description: This is LLS-SIM dataset of ER (metaphase of mitosis), which is a part of BioSR for LLS-SIM dataset (https://doi.org/10.5281/zenodo.14322457).

BioSR for LLS-SIM is a biological image dataset acquired using our home-built lattice light-sheet structured illumination microscopy (LLS-SIM). It currently includes paired diffraction-limited LLSM and LLS-SIM images of a variety of biology structures, constituting a high-quality volumetric SR dataset. The BioSR for LLS-SIM dataset originates from our paper [Qiao, C., Li, Z., Wang, Z., Lin, Y., ... & Li, D. (2024). Fast adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging. bioRxiv, 2024-05], serving as the supplementary data to execute meta-training or other proposed deep-learning-based algorithms, which provides sources for the community to try our methods, replicate our results, and develop their own methods for super-resolution lattice light-sheet microscopy.

The BioSR for LLS-SIM dataset includes 10 diverse task datasets from 10 distinct biological specimens (granular component, chromosomes, fibrillar center, fibrillarin, Lyso, MTs, F-actin in pollen tubes, inner mitochondrial membrane, ER in adherent Cos-7 cells and ER in mitotic Hela cells during metaphase). For each type of samples, we acquired raw LLS-SIM images from about 30-50 ROIs. For each ROI, five different levels of light intensity ranging from low to high fluorescence levels were acquired, and the images of the highest fluorescence level (i.e. the GT raw images) were reconstructed into high-quality GT LLS-SIM images via the conventional LLS-SIM reconstruction algorithm, which could be used as the groud truth in the training phase of deep-learning models.
DOI: 10.15468/dl.qtcsn2
title: Occurrence Download

description: A dataset containing 11687 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (France, Austria, Germany)",
 "TaxonKey is Coenonympha glycerion Borkhausen, 1788"
 ]
}

 The dataset includes 11687 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000087-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14348077
title: BioSR for LLS-SIM: Dataset of Granular Component

description: This is LLS-SIM dataset of  Granular Component, which is a part of BioSR for LLS-SIM dataset (https://doi.org/10.5281/zenodo.14322457).

BioSR for LLS-SIM is a biological image dataset acquired using our home-built lattice light-sheet structured illumination microscopy (LLS-SIM). It currently includes paired diffraction-limited LLSM and LLS-SIM images of a variety of biology structures, constituting a high-quality volumetric SR dataset. The BioSR for LLS-SIM dataset originates from our paper [Qiao, C., Li, Z., Wang, Z., Lin, Y., ... & Li, D. (2024). Fast adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging. bioRxiv, 2024-05], serving as the supplementary data to execute meta-training or other proposed deep-learning-based algorithms, which provides sources for the community to try our methods, replicate our results, and develop their own methods for super-resolution lattice light-sheet microscopy.

The BioSR for LLS-SIM dataset includes 10 diverse task datasets from 10 distinct biological specimens (granular component, chromosomes, fibrillar center, fibrillarin, Lyso, MTs, F-actin in pollen tubes, inner mitochondrial membrane, ER in adherent Cos-7 cells and ER in mitotic Hela cells during metaphase). For each type of samples, we acquired raw LLS-SIM images from about 30-50 ROIs. For each ROI, five different levels of light intensity ranging from low to high fluorescence levels were acquired, and the images of the highest fluorescence level (i.e. the GT raw images) were reconstructed into high-quality GT LLS-SIM images via the conventional LLS-SIM reconstruction algorithm, which could be used as the groud truth in the training phase of deep-learning models.
DOI: 10.5281/zenodo.14905674
title: AMPERE Summary Plot Movies (2017-May)

description: 2017-May AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14905675
title: AMPERE Summary Plot Movies (2017-May)

description: 2017-May AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14904262
title: BioSR for LLS-SIM: Dataset of Granular Component

description: This is LLS-SIM dataset of  Granular Component, which is a part of BioSR for LLS-SIM dataset (https://doi.org/10.5281/zenodo.14322457).

BioSR for LLS-SIM is a biological image dataset acquired using our home-built lattice light-sheet structured illumination microscopy (LLS-SIM). It currently includes paired diffraction-limited LLSM and LLS-SIM images of a variety of biology structures, constituting a high-quality volumetric SR dataset. The BioSR for LLS-SIM dataset originates from our paper [Qiao, C., Li, Z., Wang, Z., Lin, Y., ... & Li, D. (2024). Fast adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging. bioRxiv, 2024-05], serving as the supplementary data to execute meta-training or other proposed deep-learning-based algorithms, which provides sources for the community to try our methods, replicate our results, and develop their own methods for super-resolution lattice light-sheet microscopy.

The BioSR for LLS-SIM dataset includes 10 diverse task datasets from 10 distinct biological specimens (granular component, chromosomes, fibrillar center, fibrillarin, Lyso, MTs, F-actin in pollen tubes, inner mitochondrial membrane, ER in adherent Cos-7 cells and ER in mitotic Hela cells during metaphase). For each type of samples, we acquired raw LLS-SIM images from about 30-50 ROIs. For each ROI, five different levels of light intensity ranging from low to high fluorescence levels were acquired, and the images of the highest fluorescence level (i.e. the GT raw images) were reconstructed into high-quality GT LLS-SIM images via the conventional LLS-SIM reconstruction algorithm, which could be used as the groud truth in the training phase of deep-learning models.
DOI: 10.5281/zenodo.14348076
title: BioSR for LLS-SIM: Dataset of Granular Component

description: This is LLS-SIM dataset of  Granular Component, which is a part of BioSR for LLS-SIM dataset (https://doi.org/10.5281/zenodo.14322457).

BioSR for LLS-SIM is a biological image dataset acquired using our home-built lattice light-sheet structured illumination microscopy (LLS-SIM). It currently includes paired diffraction-limited LLSM and LLS-SIM images of a variety of biology structures, constituting a high-quality volumetric SR dataset. The BioSR for LLS-SIM dataset originates from our paper [Qiao, C., Li, Z., Wang, Z., Lin, Y., ... & Li, D. (2024). Fast adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging. bioRxiv, 2024-05], serving as the supplementary data to execute meta-training or other proposed deep-learning-based algorithms, which provides sources for the community to try our methods, replicate our results, and develop their own methods for super-resolution lattice light-sheet microscopy.

The BioSR for LLS-SIM dataset includes 10 diverse task datasets from 10 distinct biological specimens (granular component, chromosomes, fibrillar center, fibrillarin, Lyso, MTs, F-actin in pollen tubes, inner mitochondrial membrane, ER in adherent Cos-7 cells and ER in mitotic Hela cells during metaphase). For each type of samples, we acquired raw LLS-SIM images from about 30-50 ROIs. For each ROI, five different levels of light intensity ranging from low to high fluorescence levels were acquired, and the images of the highest fluorescence level (i.e. the GT raw images) were reconstructed into high-quality GT LLS-SIM images via the conventional LLS-SIM reconstruction algorithm, which could be used as the groud truth in the training phase of deep-learning models.
DOI: 10.6084/m9.figshare.20027582
title: Supplementary Material for "Quantifying the Effect of Feedback Frequency in Interactive Reinforcement Learning for Robotic Tasks"

description: This directory contains the supplementary material for the following journal paper:Harnack, D., Pivin-Bachler, J., & Navarro-Guerrero, N. (2022). Quantifying the Effect of Feedback Frequency in Interactive Reinforcement Learning for Robotic Tasks. Neural Computing and Applications. Special Issue on Human-aligned Reinforcement Learning for Autonomous Agents and Robots. https://doi.org/10.1007/s00521-022-07949-0<br><b>Contact:</b><br>For information please see the paper. For specific questions regarding the paper please contact: Nicolás Navarro-Guerrero.
DOI: 10.6084/m9.figshare.20027582.v1
title: Supplementary Material for "Quantifying the Effect of Feedback Frequency in Interactive Reinforcement Learning for Robotic Tasks"

description: This directory contains the supplementary material for the following journal paper:Harnack, D., Pivin-Bachler, J., & Navarro-Guerrero, N. (2022). Quantifying the Effect of Feedback Frequency in Interactive Reinforcement Learning for Robotic Tasks. Neural Computing and Applications. Special Issue on Human-aligned Reinforcement Learning for Autonomous Agents and Robots. https://doi.org/10.1007/s00521-022-07949-0<br><b>Contact:</b><br>For information please see the paper. For specific questions regarding the paper please contact: Nicolás Navarro-Guerrero.
DOI: 10.15468/dl.vnc2aw
title: Occurrence Download

description: A dataset containing 31564401 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fabaceae"
 ]
}

 The dataset includes 31564401 records from 9120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000083-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddyck0
title: Occurrence Download

description: A dataset containing 2650801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Reptilia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Unknown evidence"
 ]
 }
 ]
}

 The dataset includes 2650801 records from 591 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002586-150410134957023/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-35661
title: Claims (GX 17640 - GX 17991), 1985

description: Collection of claims filed against the Los Angeles Police Department with regards ranging from wrongful death to violation of civil rights, etc., 1985. 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.rywn7a
title: Occurrence Download

description: A dataset containing 9917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tapirus terrestris (Linnaeus, 1758)",
 "Year 1950-2024"
 ]
}

 The dataset includes 9917 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015121-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgck2i
title: Occurrence Download

description: A dataset containing 1066 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peromyscus eva Thomas, 1898"
 ]
}

 The dataset includes 1066 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002586-150422101436696/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-35648
title: Claims (GX 17640 - GX 17991), 1985

description: Collection of claims filed against the Los Angeles Police Department with regards ranging from wrongful death to violation of civil rights, etc., 1985. 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: 10.25549/independent-c69-33499
title: Claims (GX 11352 - GX 11885), 1986

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1986. 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.ofc8ut
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isoetes savatieri Franch."
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002586-150721130643939/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gk9nrk
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asparagus lycaonicus P.H.Davis"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032537-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-33506
title: Claims (GX 11352 - GX 11885), 1986

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1986. 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.jb0yrz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Molinadendron guatemalense (Radlk. ex Harms) P.K.Endress",
 "Country is Costa Rica",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002586-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4k9h9
title: Occurrence Download

description: A dataset containing 28543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phlogophora meticulosa (Linnaeus, 1758)",
 "Country is one of (Denmark)"
 ]
}

 The dataset includes 28543 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010660-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-33520
title: Claims (GX 11352 - GX 11885), 1986

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1986. 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: 10.25549/independent-c69-33526
title: Claims (GX 11352 - GX 11885), 1986

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1986. 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.