cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48606/86
title: TwinNetworkDataset028

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started at 4.5 hpf and ended at 28.5 hpf. Images of embryos were acquired at 720 acquisition time points with a time interval of 120 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/87
title: TwinNetworkDataset029

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started with embryos between 3-4 hpf and ended with embryos between 27-28 hpf. Images of embryos were acquired at 480 acquisition time points with a time interval of 180 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/88
title: TwinNetworkDataset030

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started with embryos between 0.5-1.5 hpf and ended with embryos between 24.5-25.5 hpf. Images of embryos were acquired at 360 acquisition time points with a time interval of 240 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/89
title: TwinNetworkDataset031

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from crosses of Tg(sebox:EGFP) and TE zebrafish strains were used for imaging. Imaging started with embryos between 3-4.25 hpf and ended with embryos between 17.75-19 hpf. Images of embryos were acquired at 111 acquisition time points with a time interval of 480 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/90
title: TwinNetworkDataset032

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) and incrosses of TE zebrafish strains were used for imaging. Small-molecule signaling pathway modulator LDN-193189 was added to well A2 with a final concentration of 3.5 µM and to well A3 with a final concentration of 4 µM. Small-molecule signaling pathway modulator SB-505124 was added to wells B1-B3 with final concentrations of 4 µM in well B1, 5 µM in well B2, and 6 µM in well B3. Well A1 did not receive small-molecule signaling pathway modulator treatment. Imaging started with embryos between 2-3 hpf and ended with embryos between 27-28 hpf. Images of embryos were acquired at 180 acquisition time points with a time interval of 501 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/91
title: TwinNetworkDataset033

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of TE zebrafish strains were used for imaging. Small-molecule signaling pathway modulator LDN-193189 was added to wells A3-A6 with final concentrations of 4 µM, to wells B1-B4 with final concentrations of 3.5 µM, and to wells B5-B6 with final concentrations of 12 µM. Small-molecule signaling pathway modulator SB-505124 was added to wells C1-C6 with final concentrations of 5 µM and to wells D1-D6 with final concentrations of 6 µM. Wells A1 and A2 did not receive small-molecule signaling pathway modulator treatment. Imaging started with embryos between 2-2.5 hpf and ended with embryos between 26-26.5 hpf. Images of embryos were acquired at 720 acquisition time points with a time interval of 120 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/92
title: TwinNetworkDataset034

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started with embryos between 1.75-2.5 hpf and ended with embryos between 26.5-27.25 hpf. Images of embryos were acquired at 246 acquisition time points with a time interval of 361 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/100
title: TwinNetworkDataMedaka_Temperature

description: This data set contains bright-field microscopy images of medaka embryos (1-25hpf) at different temperatures between 18 °C and 36°C. The images were recorded in a Keyence BZ-X810 microscope with a framerate of 2 minutes. The starting points can be found in the file dataSets_info_medaka.
DOI: 10.48606/101
title: TwinNetworkDataZebrafish_Temperature

description: This dataset contains bright-field time-lapse data of developing zebrafish embryos (0-26hpf) at different temperatures ranging from 23 °C to 35.5 °C. The framerates and starting points of each dataset are listed in dataSets_info_zfish.txt
DOI: 10.48606/50
title: Datasets for "Uncovering developmental time and tempo using deep learning"

description: This is the data repository for training and testing the Twin Network. The imaging data repositories are divided into several packages based on independent experiments. The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within these experiment folders, data are organized by microscope position and embryo number.
DOI: 10.6084/m9.figshare.27329847
title: Dataset of "Economic Forces Determine the Implementation Effectiveness of China’s Farmland Protection Planning during the Past Decade (2010-2020)"

description: Land use data: In 2010 and 2020, collected from second and third national land resource surveys as well as land use change surveys conducted by the State Council. The prefecture-level farmland area data was obtained by the China Land Survey Results Sharing Application Service Platform (https://gtdc.mnr.gov.cn/Share#/), while prefectures that underwent major adjustments of administrative divisions between 2010 and 2020 or lacked planning data were excluded. Additionally, we calculated farmland area using the China Land Use/cover Dataset with 30m spatial resolution from the Resource and Environment Science and Data Center (RESDC) of the Chinese Academy of Sciences.Planning quotas: The prefecture-level farmland protection quotas and the reported farmland area at base period were collected from provincial land use master plans for 2006-2020. Socio-economic factors: All data were collected from the China Statistical Yearbook, the China Land and Resources Statistical Yearbook or provincial statistical yearbooks, with missing data obtained from the population census yearbooks or prefectural statistical bulletins.
DOI: 10.6084/m9.figshare.27329847.v1
title: Dataset

description: Land use data: In 2010 and 2020, collected from second and third national land resource surveys as well as land use change surveys conducted by the State Council. The prefecture-level farmland area data was obtained by the China Land Survey Results Sharing Application Service Platform (https://gtdc.mnr.gov.cn/Share#/), while prefectures that underwent major adjustments of administrative divisions between 2010 and 2020 or lacked planning data were excluded. Additionally, we calculated farmland area using the China Land Use/cover Dataset with 30m spatial resolution from the Resource and Environment Science and Data Center (RESDC) of the Chinese Academy of Sciences.Planning quotas: The prefecture-level farmland protection quotas and the reported farmland area at base period were collected from provincial land use master plans for 2006-2020. Socio-economic factors: All data were collected from the China Statistical Yearbook, the China Land and Resources Statistical Yearbook or provincial statistical yearbooks, with missing data obtained from the population census yearbooks or prefectural statistical bulletins.
DOI: 10.15468/dl.pmr59r
title: Occurrence Download

description: A dataset containing 7002 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-98.89089 18.84378,-98.42801 18.84378,-98.42801 19.61789,-98.89089 19.61789,-98.89089 18.84378))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi",
 "Year 1994-2024"
 ]
}

 The dataset includes 7002 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011715-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjuuue
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gorsachius melanolophus (Raffles, 1822)",
 "Geometry POLYGON((121.61304 25.04929, 121.61085 25.0495, 121.60583 25.04833, 121.60672 25.04555, 121.60627 25.04138, 121.60915 25.03876, 121.61668 25.03708, 121.61675 25.03795, 121.61759 25.03972, 121.61724 25.04091, 121.61682 25.04208, 121.61624 25.04317, 121.61507 25.04574, 121.61554 25.0474, 121.61563 25.0488, 121.61304 25.04929))",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is not null"
 ]
 }
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011716-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mqump
title: Occurrence Download

description: A dataset containing 295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "Geometry POLYGON((80.62952 17.85786,151.37048 17.85786,151.37048 46.14214,80.62952 46.14214,80.62952 17.85786))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stephania cephalantha Hayata"
 ]
}

 The dataset includes 295 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011717-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pwjeku
title: Occurrence Download

description: A dataset containing 69565 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gorsachius melanolophus (Raffles, 1822)"
 ]
}

 The dataset includes 69565 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011718-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9gqmn8
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gorsachius melanolophus (Raffles, 1822)",
 "Geometry POLYGON((121.61304 25.04929, 121.61085 25.0495, 121.60583 25.04833, 121.60672 25.04555, 121.60627 25.04138, 121.60915 25.03876, 121.61668 25.03708, 121.61675 25.03795, 121.61759 25.03972, 121.61724 25.04091, 121.61682 25.04208, 121.61624 25.04317, 121.61507 25.04574, 121.61554 25.0474, 121.61563 25.0488, 121.61304 25.04929))",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is not null"
 ]
 }
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011719-241024112534372/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.27329979
title: Raw data

description: 16-day temporal resolution Normalized Difference Vegetation Index (NDVI) dataset obtained from MOD13C1V6 product at 0.05° spatial resolution for 2000-2020 period;MOD44B Vegetation Continuous Fields Yearly product aggregated into a 0.05° spatial resolution.
DOI: 10.15468/dl.8sfbhy
title: Occurrence Download

description: A dataset containing 295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "Geometry POLYGON((80.62952 17.85786,151.37048 17.85786,151.37048 46.14214,80.62952 46.14214,80.62952 17.85786))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stephania cephalantha Hayata"
 ]
}

 The dataset includes 295 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011721-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxvmhx
title: Occurrence Download

description: A dataset containing 69565 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gorsachius melanolophus (Raffles, 1822)"
 ]
}

 The dataset includes 69565 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011720-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjq5em
title: Occurrence Download

description: A dataset containing 750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Histriophoca fasciata (Zimmermann, 1783)"
 ]
}

 The dataset includes 750 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011722-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8uzrqn
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gorsachius melanolophus (Raffles, 1822)",
 "Geometry POLYGON((121.61304 25.04929, 121.61085 25.0495, 121.60583 25.04833, 121.60672 25.04555, 121.60627 25.04138, 121.60915 25.03876, 121.61668 25.03708, 121.61675 25.03795, 121.61759 25.03972, 121.61724 25.04091, 121.61682 25.04208, 121.61624 25.04317, 121.61507 25.04574, 121.61554 25.0474, 121.61563 25.0488, 121.61304 25.04929))",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is not null"
 ]
 }
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011723-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52us37
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phocoena spinipinnis Burmeister, 1865"
 ]
}

 The dataset includes 162 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011724-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jcw5mx
title: Occurrence Download

description: A dataset containing 7693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neovison vison (Schreber, 1777)",
 "Country is Spain",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 7693 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011725-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59ppz8
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "StateProvince is 吉林",
 "TaxonKey is Picea koraiensis Nakai"
 ]
}

 The dataset includes 49 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011726-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ur7uju
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is one of (Portugal, Croatia, Italy, France, Greece, Spain, Bulgaria, Netherlands, Sweden)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hyalomma C.L.Koch, 1844",
 "Year 2003-2024"
 ]
}

 The dataset includes 366 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011728-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.subq6y
title: Occurrence Download

description: A dataset containing 69565 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gorsachius melanolophus (Raffles, 1822)"
 ]
}

 The dataset includes 69565 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011731-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gzzac3
title: Occurrence Download

description: A dataset containing 2487 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Najas graminea Delile"
 ]
}

 The dataset includes 2487 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011734-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/g6nd-zt37
title: Qinghai-Tibet Plateau (QTP) Landslides Dataset

description: Optical remote sensing images, with their high spatial resolution and wide coverage, have emerged as invaluable tools for landslide analysis. Visual interpretation and manual delimitation of landslide areas in optical remote sensing images by human is labor intensive and inefficient. Automatic delimitation of landslide areas empowered by deep learning methods has drawn tremendous attention in recent years. Mask R-CNN and U-Net are the two most popular deep learning frameworks for image segmentation in computer vision. In this study, we systematically compare and evaluate the performance and adaptability of the Mask R-CNN and the U-Net models for delimiting landslide areas in optical remote sensing images with various resolutions across regions using statistical metrics. A workflow for transferring deep learning models pretrained on other regions for landslide area delimitation on new regions with a relatively small number of annotated training samples is developed. A post-processing module is integrated into the Mask R-CNN architecture to address the challenge of overlapping mask predictions for individual landslide objects. The results indicate that the Mask R-CNN model exhibits superior overall performance in comparison with the U-Net model and is more suitable for tasks requiring detailed delineation of the object outlines in images. The insights gained from this study not only advance our understanding of the models' generalizability and robustness across regions, but also have practical implications for large-scale landslide inventory mapping in remote sensing images.
DOI: 10.15468/dl.mzj34p
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gorsachius melanolophus (Raffles, 1822)",
 "Geometry POLYGON((121.61304 25.04929, 121.61085 25.0495, 121.60583 25.04833, 121.60672 25.04555, 121.60627 25.04138, 121.60915 25.03876, 121.61668 25.03708, 121.61675 25.03795, 121.61759 25.03972, 121.61724 25.04091, 121.61682 25.04208, 121.61624 25.04317, 121.61507 25.04574, 121.61554 25.0474, 121.61563 25.0488, 121.61304 25.04929))",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is not null"
 ]
 }
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011736-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dh68hw
title: Occurrence Download

description: A dataset containing 6072 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Najas guadalupensis (Spreng.) Magnus"
 ]
}

 The dataset includes 6072 records from 261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011737-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6grwx
title: Occurrence Download

description: A dataset containing 245 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Najas horrida A.Braun ex Magnus"
 ]
}

 The dataset includes 245 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011738-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xphqe6
title: Occurrence Download

description: A dataset containing 365 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Najas indica (Willd.) Cham."
 ]
}

 The dataset includes 365 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011739-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13854006
title: Cartesian Coordinates of Conformational Changes and Coordination Stability of Flexible Tripeptides During Ni(II)-Mediated Self-Assembly

description: Cartesian Coordinates of Conformational Changes and Coordination Stability of Flexible Tripeptides During Ni(II)-Mediated Self-Assembly