cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccyhsnv
title: CCDC 879118: Experimental Crystal Structure Determination

description: Related Article: Raja Mitra, Ashoka G. Samuelson|2014|Eur.J.Inorg.Chem.|2014|3536|doi:10.1002/ejic.201402205
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccylrkt
title: CCDC 881967: Experimental Crystal Structure Determination

description: Related Article: Marie Betou, Nicolas Kerisit, Esme Meledje, Yann R. Leroux, Claudine Katan, Jean-François Halet, Jean-Claude Guillemin, Yann Trolez|2014|Chem.-Eur.J.|20|9553|doi:10.1002/chem.201402653
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.6n2ub4
title: Occurrence Download

description: A dataset containing 394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pyrenaria hirta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 394 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001499-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnjm9z
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monographic Revision of the American Genus Euphoria Burmeister, 1842 (Coleoptera: Scarabaeidae: Cetoniinae)"
 ]
}

 The dataset includes 269 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0124993-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxsvui
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004003-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a34f8e
title: Occurrence Download

description: A dataset containing 4694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Asia, Africa)",
 "Geometry POLYGON((-27.6741 41.60108,1.462 -14.21155,20.44458 -17.4864,43.31162 -12.65054,62.25132 23.65796,70.71372 24.32401,73.18404 29.0746,75.33764 32.05163,73.88906 34.2635,75.44755 35.52035,75.74919 37.07884,71.52618 36.57611,71.32509 37.53131,68.50975 37.63186,65.3425 37.88322,60.7173 38.18487,58.92104 40.18447,51.82233 41.83377,30.45253 52.47744,-27.6741 41.60108))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Portulaca oleracea"
 ]
}

 The dataset includes 4694 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009398-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e239457
title: HIFLD OPEN Landmark Locations (USACE IENC)

description: The USACE IENCs coverage area consists of 7,260 miles across 21 rivers primarily located in the Central United States. IENCs apply to inland waterways that are maintained for navigation by USACE for shallow-draft vessels (e.g., maintained at a depth of 9-14 feet, dependent upon the waterway project authorization). Generally, IENCs are produced for those commercially navigable waterways which the National Oceanic and Atmospheric Administration (NOAA) does not produce Electronic Navigational Charts (ENCs). However, Special Purpose IENCs may be produced in agreement with NOAA.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025. (Downloaded 08/26)
DOI: 10.3886/e239457v1
title: HIFLD OPEN Landmark Locations (USACE IENC)

description: The USACE IENCs coverage area consists of 7,260 miles across 21 rivers primarily located in the Central United States. IENCs apply to inland waterways that are maintained for navigation by USACE for shallow-draft vessels (e.g., maintained at a depth of 9-14 feet, dependent upon the waterway project authorization). Generally, IENCs are produced for those commercially navigable waterways which the National Oceanic and Atmospheric Administration (NOAA) does not produce Electronic Navigational Charts (ENCs). However, Special Purpose IENCs may be produced in agreement with NOAA.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025. (Downloaded 08/26)
DOI: 10.60719/aphrc-2025-044
title: Using a Decision-Support Smartphone application to enhance Community Health Volunteers’ effectiveness in reducing Maternal complications and reducing Newborn Deaths in the informal settlements of Nairobi, Kenya, Community Health Volunteers’ Decision Support

description: Improving maternal and newborn survival remain major aspirations for many countries in the global south. Slum settlements, a result of rapid urbanization in many developing countries including Kenya, exhibit high levels of maternal and neonatal mortality. There are limited referral mechanisms for sick neonates and their mothers from the community to health care facilities with ability to provide adequate care. In this study we specifically plan to assess the added value of having community health volunteers (CHVs) use smartphones to identify and track mothers and children in a bid to reduce pregnancy-related complications and newborn deaths.

Objectives:
To develop and validate a decision-support algorithm within an m-health solution in improving maternal and newborn health outcomes in the urban slums of Kamukunji sub-County in Nairobi, Kenya.

Study Design: Quasi-experimental, difference in differences, with a control.
We propose to implement an innovative, m-health application known as mPAMANECH which uses dynamic mobile phone and web-portal solutions, to enable Community Health Volunteers (CHVs) make timely decisions on the best course of action in their management of mothers and newborns at community level. The application is based on existing guidelines and protocols in use by CHVs. Currently, CHVs, trained over a five-day period, conduct weekly home visits and make decisions (counsel, treat, refer) from memory or using unwieldy manual tools, and thus prone to making errors. mPAMANECH will have an in-built algorithm that makes it easier, faster and more likely for CHVs to make the right management decision. We will work with a network of community units-CUs and selected CHVs and maternity centres to pilot test the tool.
DOI: 10.6075/j03f4ppm
title: CIL:32107, Homo sapiens, osteocarcenoma. In Cell Image Library

description: Preparation: formaldehyde fixed tissue
Relation to intact cell: dispersed cells in vitro
Item type: recorded image
Imaging mode: plate reader
Parameter imaged: fluorescence emission
Source of contrast: distribution of a specific protein; distribution of DNA
Visualization methods: EGFP
Processing history: unprocessed raw data
description: The images constitute one row of a 348 well plate. The dose curve consists of 11 dose points and one control. Each concentration is duplicated in adjacent wells. Each well has three fields.
description: This image set is of Transfluor assay where an orphan GPCR (G-protein coupled receptor) is stably integrated into a beta-arrestin GFP (green) expressing U2OS cell line also showing nucleus (red). After one hour incubation with a compound, the cells were quenched with fixative (formaldehyde) and the plate was read on Cellomics ArrayScan HCS Reader using the GPCR Bioapplication. Negative results are a more uniform distribution of GFP throughout the cytoplasm and positive results are a peri-nuclear localization.
Recommended attribution: "We used the SBS Roche Transfluor image set provided by Ilya Ravkin and available from the Broad Bioimage Benchmark Collection (www.broad.mit.edu/bbbc)."
Analysis of the data set can be downloaded from http://www.broadinstitute.org/bbbc/sbs_roche_transfluor.html
DOI: 10.6075/j0mg7pjz
title: CIL:32053, Homo sapiens, osteocarcenoma. In Cell Image Library

description: Preparation: formaldehyde fixed tissue
Relation to intact cell: dispersed cells in vitro
Item type: recorded image
Imaging mode: plate reader
Parameter imaged: fluorescence emission
Source of contrast: distribution of a specific protein; distribution of DNA
Visualization methods: EGFP
Processing history: unprocessed raw data
description: This image set is of Transfluor assay where an orphan GPCR (G-protein coupled receptor) is stably integrated into a beta-arrestin GFP (green) expressing U2OS cell line also showing nucleus (red). After one hour incubation with a compound, the cells were quenched with fixative (formaldehyde) and the plate was read on Cellomics ArrayScan HCS Reader using the GPCR Bioapplication. Negative results are a more uniform distribution of GFP throughout the cytoplasm and positive results are a peri-nuclear localization.
Recommended attribution: "We used the SBS Roche Transfluor image set provided by Ilya Ravkin and available from the Broad Bioimage Benchmark Collection (www.broad.mit.edu/bbbc)."
Analysis of the data set can be downloaded from http://www.broadinstitute.org/bbbc/sbs_roche_transfluor.html
description: The images constitute one row of a 348 well plate. The dose curve consists of 11 dose points and one control. Each concentration is duplicated in adjacent wells. Each well has three fields.
DOI: 10.6075/j01v5czc
title: CIL:32144, Drosophila melanogaster, epithelial cell. In Cell Image Library

description: Images were acquired using a motorized Zeiss Axioplan 2 and a Axiocam MRm camera, and are provided courtesy of the laboratory of David Sabatini at the Whitehead Institute for Biomedical Research. Each image is roughly 512 x 512 pixels, with cells roughly 25 pixels in diameter, and 80 cells per image on average. 

Algorithms for finding boundaries between adjacent cells may use the union of the manually outlined cells as input. They may also use the manually outlined nuclei as seed regions. This ensures that the algorithms are compared according to their ability to find boundaries betwen adjacent cells, and not the orthogonal problems of segmenting nuclei and distinguishing foreground (cells) from background.

To compare an algorithm's results to the manual outlines, define the relevant boundary pixels as the pixels that are on the boundary found by the algorith and that are not adjacent to any background pixels. For each relevant pixel, compute the Euclidean distance to the corresponding pixel on the manually found outline. Report the percentage of relevant pixels that are within two pixels of the corresponding pixel on the manually found outline.
description: Relation to intact cell: dispersed cells in vitro
Item type: recorded image; hand drawn contour
Imaging mode: fluorescence microscopy
Parameter imaged: distribution of a specific protein; distribution of DNA
Source of contrast: distribution of a specific protein
Processing history: unprocessed raw data; tracing
Data qualification: Raw
description: Drosophila melanogaster Kc167 cells were stained for DNA (to label nuclei, red) and actin (a cytoskeletal protein, to show the cell body, green). Each image is a dual channel fluorescent image followed by a line tracing of the nuclei and a line tracing of the cell boundary. These images are provided as a tool for testing algorithims to find nuclei and the boundaries between adjacent cells.

Chris Gang outlined the nuclei and cells.
Please use the following recommended citation when using this data. "We used the Drosophila Kc167 2 image set (Jones et al., Proc. ICCV Workshop on Computer Vision for Biomedical Image Applications, 2005), available from the Broad Bioimage Benchmark Collection (www.broad.mit.edu/bbbc)."
DOI: 10.6075/j0hh6j05
title: CIL:32132, Drosophila melanogaster, epithelial cell. In Cell Image Library

description: Images were acquired using a motorized Zeiss Axioplan 2 and a Axiocam MRm camera, and are provided courtesy of the laboratory of David Sabatini at the Whitehead Institute for Biomedical Research. Each image is roughly 512 x 512 pixels, with cells roughly 25 pixels in diameter, and 80 cells per image on average. 

Algorithms for finding boundaries between adjacent cells may use the union of the manually outlined cells as input. They may also use the manually outlined nuclei as seed regions. This ensures that the algorithms are compared according to their ability to find boundaries betwen adjacent cells, and not the orthogonal problems of segmenting nuclei and distinguishing foreground (cells) from background.

To compare an algorithm's results to the manual outlines, define the relevant boundary pixels as the pixels that are on the boundary found by the algorith and that are not adjacent to any background pixels. For each relevant pixel, compute the Euclidean distance to the corresponding pixel on the manually found outline. Report the percentage of relevant pixels that are within two pixels of the corresponding pixel on the manually found outline.
description: Drosophila melanogaster Kc167 cells were stained for DNA (to label nuclei, red) and actin (a cytoskeletal protein, to show the cell body, green). Each image is a dual channel fluorescent image followed by a line tracing of the nuclei and a line tracing of the cell boundary. These images are provided as a tool for testing algorithims to find nuclei and the boundaries between adjacent cells.

Chris Gang outlined the nuclei and cells.
Please use the following recommended citation when using this data. "We used the Drosophila Kc167 2 image set (Jones et al., Proc. ICCV Workshop on Computer Vision for Biomedical Image Applications, 2005), available from the Broad Bioimage Benchmark Collection (www.broad.mit.edu/bbbc)."
description: Relation to intact cell: dispersed cells in vitro
Item type: recorded image; hand drawn contour
Imaging mode: fluorescence microscopy
Parameter imaged: distribution of a specific protein; distribution of DNA
Source of contrast: distribution of a specific protein
Processing history: unprocessed raw data; tracing
Data qualification: Raw
DOI: 10.6075/j0028rkw
title: CIL:32114, Homo sapiens, osteocarcenoma. In Cell Image Library

description: Preparation: formaldehyde fixed tissue
Relation to intact cell: dispersed cells in vitro
Item type: recorded image
Imaging mode: plate reader
Parameter imaged: fluorescence emission
Source of contrast: distribution of a specific protein; distribution of DNA
Visualization methods: EGFP
Processing history: unprocessed raw data
description: The images constitute one row of a 348 well plate. The dose curve consists of 11 dose points and one control. Each concentration is duplicated in adjacent wells. Each well has three fields.
description: This image set is of Transfluor assay where an orphan GPCR (G-protein coupled receptor) is stably integrated into a beta-arrestin GFP (green) expressing U2OS cell line also showing nucleus (red). After one hour incubation with a compound, the cells were quenched with fixative (formaldehyde) and the plate was read on Cellomics ArrayScan HCS Reader using the GPCR Bioapplication. Negative results are a more uniform distribution of GFP throughout the cytoplasm and positive results are a peri-nuclear localization.
Recommended attribution: "We used the SBS Roche Transfluor image set provided by Ilya Ravkin and available from the Broad Bioimage Benchmark Collection (www.broad.mit.edu/bbbc)."
Analysis of the data set can be downloaded from http://www.broadinstitute.org/bbbc/sbs_roche_transfluor.html
DOI: 10.6075/j0057g0m
title: CIL:32109, Homo sapiens, osteocarcenoma. In Cell Image Library

description: Preparation: formaldehyde fixed tissue
Relation to intact cell: dispersed cells in vitro
Item type: recorded image
Imaging mode: plate reader
Parameter imaged: fluorescence emission
Source of contrast: distribution of a specific protein; distribution of DNA
Visualization methods: EGFP
Processing history: unprocessed raw data
description: The images constitute one row of a 348 well plate. The dose curve consists of 11 dose points and one control. Each concentration is duplicated in adjacent wells. Each well has three fields.
description: This image set is of Transfluor assay where an orphan GPCR (G-protein coupled receptor) is stably integrated into a beta-arrestin GFP (green) expressing U2OS cell line also showing nucleus (red). After one hour incubation with a compound, the cells were quenched with fixative (formaldehyde) and the plate was read on Cellomics ArrayScan HCS Reader using the GPCR Bioapplication. Negative results are a more uniform distribution of GFP throughout the cytoplasm and positive results are a peri-nuclear localization.
Recommended attribution: "We used the SBS Roche Transfluor image set provided by Ilya Ravkin and available from the Broad Bioimage Benchmark Collection (www.broad.mit.edu/bbbc)."
Analysis of the data set can be downloaded from http://www.broadinstitute.org/bbbc/sbs_roche_transfluor.html
DOI: 10.6075/j0nc605n
title: CIL:32138, Drosophila melanogaster, epithelial cell. In Cell Image Library

description: Images were acquired using a motorized Zeiss Axioplan 2 and a Axiocam MRm camera, and are provided courtesy of the laboratory of David Sabatini at the Whitehead Institute for Biomedical Research. Each image is roughly 512 x 512 pixels, with cells roughly 25 pixels in diameter, and 80 cells per image on average. 

Algorithms for finding boundaries between adjacent cells may use the union of the manually outlined cells as input. They may also use the manually outlined nuclei as seed regions. This ensures that the algorithms are compared according to their ability to find boundaries betwen adjacent cells, and not the orthogonal problems of segmenting nuclei and distinguishing foreground (cells) from background.

To compare an algorithm's results to the manual outlines, define the relevant boundary pixels as the pixels that are on the boundary found by the algorith and that are not adjacent to any background pixels. For each relevant pixel, compute the Euclidean distance to the corresponding pixel on the manually found outline. Report the percentage of relevant pixels that are within two pixels of the corresponding pixel on the manually found outline.
description: Relation to intact cell: dispersed cells in vitro
Item type: recorded image; hand drawn contour
Imaging mode: fluorescence microscopy
Parameter imaged: distribution of a specific protein; distribution of DNA
Source of contrast: distribution of a specific protein
Processing history: unprocessed raw data; tracing
Data qualification: Raw
description: Drosophila melanogaster Kc167 cells were stained for DNA (to label nuclei, red) and actin (a cytoskeletal protein, to show the cell body, green). Each image is a dual channel fluorescent image followed by a line tracing of the nuclei and a line tracing of the cell boundary. These images are provided as a tool for testing algorithims to find nuclei and the boundaries between adjacent cells.

Chris Gang outlined the nuclei and cells.
Please use the following recommended citation when using this data. "We used the Drosophila Kc167 2 image set (Jones et al., Proc. ICCV Workshop on Computer Vision for Biomedical Image Applications, 2005), available from the Broad Bioimage Benchmark Collection (www.broad.mit.edu/bbbc)."
DOI: 10.6075/j01n801s
title: CIL:32137, Drosophila melanogaster, epithelial cell. In Cell Image Library

description: Images were acquired using a motorized Zeiss Axioplan 2 and a Axiocam MRm camera, and are provided courtesy of the laboratory of David Sabatini at the Whitehead Institute for Biomedical Research. Each image is roughly 512 x 512 pixels, with cells roughly 25 pixels in diameter, and 80 cells per image on average. 

Algorithms for finding boundaries between adjacent cells may use the union of the manually outlined cells as input. They may also use the manually outlined nuclei as seed regions. This ensures that the algorithms are compared according to their ability to find boundaries betwen adjacent cells, and not the orthogonal problems of segmenting nuclei and distinguishing foreground (cells) from background.

To compare an algorithm's results to the manual outlines, define the relevant boundary pixels as the pixels that are on the boundary found by the algorith and that are not adjacent to any background pixels. For each relevant pixel, compute the Euclidean distance to the corresponding pixel on the manually found outline. Report the percentage of relevant pixels that are within two pixels of the corresponding pixel on the manually found outline.
description: Relation to intact cell: dispersed cells in vitro
Item type: recorded image; hand drawn contour
Imaging mode: fluorescence microscopy
Parameter imaged: distribution of a specific protein; distribution of DNA
Source of contrast: distribution of a specific protein
Processing history: unprocessed raw data; tracing
Data qualification: Raw
description: Drosophila melanogaster Kc167 cells were stained for DNA (to label nuclei, red) and actin (a cytoskeletal protein, to show the cell body, green). Each image is a dual channel fluorescent image followed by a line tracing of the nuclei and a line tracing of the cell boundary. These images are provided as a tool for testing algorithims to find nuclei and the boundaries between adjacent cells.

Chris Gang outlined the nuclei and cells.
Please use the following recommended citation when using this data. "We used the Drosophila Kc167 2 image set (Jones et al., Proc. ICCV Workshop on Computer Vision for Biomedical Image Applications, 2005), available from the Broad Bioimage Benchmark Collection (www.broad.mit.edu/bbbc)."