cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14900916
title: Dataset for article: Integer programming for optimal yaw control of wind farms

description: This is the dataset for the article "Integer programming for optimal yaw control of wind farms".  We provide the integer programs (lp-files) and corresponding solver log files for each case of our series of experiments. Submission of manuscript: September 2024. Revision of manuscript: February 2025.
description: FBü's research was funded by the Bundesministerium für Bildung und Forschung (BMBF, German Federal Ministry of Education and Research) under grant number 05M18MBA-MOReNet.

FBe's research was funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through Priority Programme 1962.
DOI: 10.5281/zenodo.15282350
title: Dataset for article: Integer programming for optimal yaw control of wind farms

description: This is the dataset for the article "Integer programming for optimal yaw control of wind farms".  We provide the integer programs (lp-files) and corresponding solver log files for each case of our series of experiments. Submission of manuscript: September 2024 (v1). Major revision of manuscript: February 2025 (v2). Minor revision of manuscript: April 2025 (v3).
description: FBü's research was funded by the Bundesministerium für Bildung und Forschung (BMBF, German Federal Ministry of Education and Research) under grant number 05M18MBA-MOReNet.

FBe's research was funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through Priority Programme 1962.
DOI: 10.15468/dl.xb63ru
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epipremnum pinnatum (L.) Engl.",
 "Country is Solomon Islands"
 ]
}

 The dataset includes 22 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010756-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjpwys
title: Occurrence Download

description: A dataset containing 5006 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 Ambrosia artemisiifolia L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 5006 records from 292 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010757-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jj95fh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenodermichthys Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.6413 -34.1504,26.9648 -34.0826,26.9648 -25.1504,17.9648 -25.1504,17.9648 -34.1504,26.6413 -34.1504))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010755-250525065834625/datasets/export for details.
DOI: 10.15468/dl.bkrrnd
title: Occurrence Download

description: A dataset containing 153 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 Linum rigidum Pursh",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 153 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009969-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14964569
title: Molecular and behavioral rhythms, parental behavior, and reproductive success across a light pollution gradient

description: "From clock genes to fitness: Molecular and behavioral rhythms, parental behavior, and reproductive success across a light pollution gradient"Authors: DiDiAlice Coker*(a), Elisset Poveda*(a), Jenny Q. Ouyang (a)

(a)University of Nevada, Reno, Dept. of Biology

 

See README.md for file descriptions.

Contact didialicec@unr.edu or epoveda@unr.edu for data or code inquiries.
DOI: 10.5281/zenodo.14964570
title: Molecular and behavioral rhythms, parental behavior, and reproductive success across a light pollution gradient

description: "From clock genes to fitness: Molecular and behavioral rhythms, parental behavior, and reproductive success across a light pollution gradient"Authors: DiDiAlice Coker*(a), Elisset Poveda*(a), Jenny Q. Ouyang (a)

(a)University of Nevada, Reno, Dept. of Biology

 

See README.md for file descriptions.
DOI: 10.5281/zenodo.15547675
title: Molecular and behavioral rhythms, parental behavior, and reproductive success across a light pollution gradient

description: "From clock genes to fitness: Molecular and behavioral rhythms, parental behavior, and reproductive success across a light pollution gradient"Authors: DiDiAlice Coker*(a), Elisset Poveda*(a), Jenny Q. Ouyang (a)

(a)University of Nevada, Reno, Dept. of Biology

 

See README.md for file descriptions.

Contact didialicec@unr.edu or epoveda@unr.edu for data or code inquiries.
DOI: 10.15468/dl.mnqj5a
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Chile",
 "Locality is Viña Del Mar",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 145 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009971-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tz4f9
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Solenopsis invicta",
 "Year 2004-2025"
 ]
}

 The dataset includes 140 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049549-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14457/stou.the.2008.464
title: การวิเคราะห์เปรียบเทียบการจัดทำผลิตภัณฑ์จังหวัดในรูปแบบทางตรงและทางอ้อม : กรณีศึกษาจังหวัดลำพูน

description: การศึกษานี้มีวัตถุประสงค์เพื่อ (1) ศึกษาความแตกต่างของการจัดเก็บข้อมูลระหว่าง วิธีทางตรงและทางอ้อม (2) วิเคราะห์ปัจจัยที่กำหนดความแตกต่างระหว่างวิธีทางตรงและทางอ้อม (3) ศึกษาว่าวิธีการจัดเก็บแบบใดมีความเหมาะสมและสามารถสะท้อนถึงสภาพเศรษฐกิจจังหวัด ได้อย่างมีประสิทธิภาพ โดยนำข้อมูลผลิตภัณฑ์ จังหวัดลำพูนปี พ.ศ. 2549 ซึ่งจัดเก็บแบบทางข้อมูลของสำนักงาน คณะกรรมการพัฒนาการเศรษฐกิจและสังคมแห่งชาติ (สศช.) มาเปรียบเทียบกับการจัดเก็บ ผลิตภัณฑ์จังหวัดแบบทางตรง ที่จัดเก็บโดยคณะทำงานการจัดทำผลิตภัณฑ์จังหวัดลำพูน ซึ่งใช้ การวิเคราะห์ทางสถิติอย่างง่าย โดยใช้แผนภูมิ กราฟ ตารางเปรียบเทียบ และสถิติในเชิงพรรณนา ในรูปแบบของสัดส่วน และร้อยละ ผลการวิจัยพบว่า (1) มูลค่าเพิ่มการผลิต โครงสร้างการผลิต อัตราการขยายตัว และ อัตราการขยายตัว ที่แท้จริงระหว่างปีของผลิตภัณฑ์จังหวัดลำพูน ทั้ง 2 วิธี มีความแตกต่างกันมาก ทั้งภาพรวมของจังหวัด และในรายสาขาการผลิต (2) ปัจจัยที่กำหนดให้การจัดทำผลิตภัณฑ์จังหวัด ทั้งสองวิธีมีความแตกต่างกัน คือวิธีการจัดเก็บที่แตกต่างกัน (3) การจัดเก็บโดยวิธีทางตรงมีความ เหมาะสม และสามารถสะท้อนให้เห็นถึงภาวะเศรษฐกิจที่แท้จริงของจังหวัด ได้อย่างมี ประสิทธิภาพมากกว่าการจัดเก็บโดยวิธีทางอ้อม ดังนั้นจากการศึกษาจังหวัดควรประเมินการจัดทำ ผลิตภัณฑ์จังหวัดทั้งสามด้านเพื่อเป็นการสอบทานความถูกต้องของข้อมูล และควรมีหน่วยงาน หลักที่เป็นหน่วยงานกลางทางวิชาการและการประมวลผลที่สามารถให้คำแนะนำและทำความ เข้าใจในกรอบแนวคิด วิธีการประมวลผล และการคำนวณผลิตภัณฑ์จังหวัดได้อย่างต่อเนื่อง
DOI: 10.14457/stou.the.2003.373
title: การศึกษาความสัมพันธ์ของวัฒนธรรมโรงเรียนกับการนิเทศภายในโรงเรียนประถมศึกษา สังกัดสำนักงานเขตพื้นที่การศึกษาศรีสะเกษ เขต 4

description: การศึกษาวิจัยครั้งนี้มีวัตถุประสงค์ (1) เพื่อศึกษาระดับความสัมพันธ์ของวัฒนธรรม โรงเรียนกับการนิเทศภายในโรงเรียนประถมศึกษา (2) ศึกษาความสัมพันธ์ระหว่างวัฒนธรรม โรงเรียนกับการนิเทศภายในโรงเรียนประถมศึกษา (3) ศึกษาความสามารถของวัฒนธรรมโรงเรียน ในการทำนายการนิเทศภายในโรงเรียนประถมศึกษา ในสังกัดสำนักงานเขตพื้นที่การศึกษา ศรีสะเกษ เขต 4 กลุ่มตัวอย่าง เป็นข้าราชการครูที่ปฏิบัติงานในโรงเรียนเป้าหมายตั้งแต่ 1 ปีการศึกษา ขึ้นไป จำนวน 53 โรงเรียน 106 คน เครื่องมือที่ใช้วิจัย เป็นแบบสอบถาม 1 ฉบับ 3 ตอน วิเคราะห์ ข้อมูลโดยใช้ค่าสถิติ ตอนที่ 1 ใช้ความถี่ ร้อยละ ตอนที่ 2,3 ใช้ ค่าเฉลี่ย ส่วนเบี่ยงเบนมาตรฐาน ค่าสัมประสิทธิ์สหสัมพันธ์ และค่าสัมประสิทธิ์การทำนายผลการวิจัยพบว่า (1) ระดับวัฒนธรรม โรงเรียนและการนิเทศภายในโรงเรียนประถม ศึกษา ทุกด้านอยู่ในระดับมาก (2) วัฒนธรรมโรงเรียนมีความสัมพันธ์กับการนิเทศภายในโรงเรียน ประถมศึกษา ทุกด้านในลักษณะของความสัมพันธ์ทิศทางเดียวกันที่ระดับ 50 - 80 มีค่าปานกลาง ถึงสูง และโดยภาพรวมมีความสัมพันธ์ในระดับสูงมากที่ระดับ 90 และ (3) วัฒนธรรมโรงเรียนทั้ง 4 ด้าน สามารถรวมกันทำนายการนิเทศภายในโรงเรียนประถมศึกษาโดยรวม ทั้ง 2 ด้าน ที่ค่าสัมประสิทธิ์การทำนาย เท่ากับร้อยละ 82,40
DOI: 10.5281/zenodo.17406670
title: OMAP-37: Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based Imaging of Human Liver with MICS

description: OMAP-37 was developed for use with MACSima Imaging Cyclic Staining (MICS) technology, optimized for paraformaldehyde (PFA)-fixed human liver specimens. The MACSima platform, detailed in Kinkhabwala et al., 2022 (DOI: 10.1016/j.cell.2022.03.037) and further expanded upon in Casals et al., 2023 (bioRxiv preprint), enables highly multiplexed imaging through iterative cycles of immunolabeling and photobleaching using FITC-, PE-, and APC-conjugated antibodies.This panel comprises 40 antibodies alongside the nuclear stain DAPI, which supports image registration and nuclear segmentation. It enables spatial identification of 10 anatomical structures and 24 distinct cell types, including key hepatic populations such as endothelial cells, hepatocytes, hepatic stellate cells, biliary epithelial cells, and immune subsets (T cells, B cells, NK cells, Kupffer cells). All antibodies are recombinant and engineered with a modified human IgG1 constant region that lacks Fc-receptor binding capacity. This design minimizes nonspecific interactions with tissue and removes the need for additional blocking steps, ensuring consistent signal quality and reproducibility. The panel resolves liver zonation, including periportal and pericentral regions, and covers > 90% of cell types listed in the ASCT+B liver reference table (v1.4) (https://apps.humanatlas.io/kg-explorer/asct-b/liver/v1.4). OMAP-37 builds upon OMAP-5 (Liver SIMS, v1.4) (HuBMAP OMAP-5 Link), which primarily profiles metabolic zonation and hepatocyte function. While both panels share approximately 65% of targets (13 markers in common), OMAP-37 extends cellular resolution through additional immune, stromal, and vascular markers, enabling detailed analysis of inflammation, fibrosis, and tissue remodeling not captured by OMAP-5. All reagents were sourced from Miltenyi Biotec and validated through internal quality-control protocols to ensure minimal lot-to-lot variability. Image analysis was performed using MACSIQ View Analysis software, as described in the MACSima publication.

Bibliography:

Kinkhabwala, Ali, Christoph Herbel, Jennifer Pankratz, Dmytro A. Yushchenko, Silvia Rüberg, Paurush Praveen, Sandy Reiß, et al. 2022. “MACSima Imaging Cyclic Staining (MICS) Technology Reveals Combinatorial Target Pairs for CAR T Cell Treatment of Solid Tumors.” Scientific Reports 12 (1): 1911. https://doi.org/10.1038/s41598-022-05841-4

 

Neil, Emily, Dongju Park, Rebecca C. Hennessey, Eric C. DiBiasio, Michael DiBuono, Hanna Lafayette, Erica Lloyd, et al. 2023. “Spatial Protein and RNA Analysis on the Same Tissue Section Using MICS Technology.” bioRxiv. https://doi.org/10.1101/2023.10.27.564191 

 

Anna Maria Masci; Tim Kendall; Ayako Suzuki, HuBMAP ASCT+B Tables. Liver v1.4 https://apps.humanatlas.io/kg-explorer/asct-b/liver/v1.4
DOI: 10.5281/zenodo.17406669
title: OMAP-37: Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based Imaging of Human Liver with MICS

description: OMAP-37 was developed for use with MACSima Imaging Cyclic Staining (MICS) technology, optimized for paraformaldehyde (PFA)-fixed human liver specimens. The MACSima platform, detailed in Kinkhabwala et al., 2022 (DOI: 10.1016/j.cell.2022.03.037) and further expanded upon in Casals et al., 2023 (bioRxiv preprint), enables highly multiplexed imaging through iterative cycles of immunolabeling and photobleaching using FITC-, PE-, and APC-conjugated antibodies.This panel comprises 40 antibodies alongside the nuclear stain DAPI, which supports image registration and nuclear segmentation. It enables spatial identification of 10 anatomical structures and 24 distinct cell types, including key hepatic populations such as endothelial cells, hepatocytes, hepatic stellate cells, biliary epithelial cells, and immune subsets (T cells, B cells, NK cells, Kupffer cells). All antibodies are recombinant and engineered with a modified human IgG1 constant region that lacks Fc-receptor binding capacity. This design minimizes nonspecific interactions with tissue and removes the need for additional blocking steps, ensuring consistent signal quality and reproducibility. The panel resolves liver zonation, including periportal and pericentral regions, and covers > 90% of cell types listed in the ASCT+B liver reference table (v1.4) (https://apps.humanatlas.io/kg-explorer/asct-b/liver/v1.4). OMAP-37 builds upon OMAP-5 (Liver SIMS, v1.4) (HuBMAP OMAP-5 Link), which primarily profiles metabolic zonation and hepatocyte function. While both panels share approximately 65% of targets (13 markers in common), OMAP-37 extends cellular resolution through additional immune, stromal, and vascular markers, enabling detailed analysis of inflammation, fibrosis, and tissue remodeling not captured by OMAP-5. All reagents were sourced from Miltenyi Biotec and validated through internal quality-control protocols to ensure minimal lot-to-lot variability. Image analysis was performed using MACSIQ View Analysis software, as described in the MACSima publication.

Bibliography:

Kinkhabwala, Ali, Christoph Herbel, Jennifer Pankratz, Dmytro A. Yushchenko, Silvia Rüberg, Paurush Praveen, Sandy Reiß, et al. 2022. “MACSima Imaging Cyclic Staining (MICS) Technology Reveals Combinatorial Target Pairs for CAR T Cell Treatment of Solid Tumors.” Scientific Reports 12 (1): 1911. https://doi.org/10.1038/s41598-022-05841-4

 

Neil, Emily, Dongju Park, Rebecca C. Hennessey, Eric C. DiBiasio, Michael DiBuono, Hanna Lafayette, Erica Lloyd, et al. 2023. “Spatial Protein and RNA Analysis on the Same Tissue Section Using MICS Technology.” bioRxiv. https://doi.org/10.1101/2023.10.27.564191 

 

Anna Maria Masci; Tim Kendall; Ayako Suzuki, HuBMAP ASCT+B Tables. Liver v1.4 https://apps.humanatlas.io/kg-explorer/asct-b/liver/v1.4
DOI: 10.5281/zenodo.17610707
title: Market entry capabilities
DOI: 10.5281/zenodo.17610706
title: Market entry capabilities
DOI: 10.5281/zenodo.17419680
title: OMAP-36: Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based Imaging of Human Heart with MICS

description: OMAP-36 was developed for use with MACSima Imaging Cyclic Staining (MICS) technology, optimized for paraformaldehyde (PFA)-fixed human heart tissue. The MACSima platform (Kinkhabwala et al., 2022, https://www.nature.com/articles/s41598-022-05841-4) enables highly multiplexed imaging through iterative cycles of immunolabeling and photobleaching using FITC-, PE-, and APC-conjugated antibodies. This panel comprises 19 antibodies and the nuclear stain DAPI, which supports image registration and segmentation. It resolves five anatomical structures and nine major cardiac cell types, including endothelial, endocardial, and smooth-muscle cells, cardiomyocytes, telocytes, neurons, and immune subsets such as dendritic cells and macrophages. Most antibodies in OMAP-36 are recombinant Fc-null human IgG1 derivatives, minimizing non-specific binding and improving reproducibility without additional blocking steps. The panel defines over 60% of cardiac cell types represented in the ASCT+B Heart Table v1.5, ensuring anatomical consistency and cross-organ comparability. OMAP-36 shares 30% target overlap with OMAP-28, maintaining compatibility across imaging platforms. A subset of core markers (CD45, CD31, PLP1, NPPA, and MYL7) forms the foundation for mapping immune, vascular, neural, and cardiomyocyte compartments, enabling spatial profiling of the human atrium in health and disease. All reagents were sourced from Miltenyi Biotec and validated through internal quality controls. No cycle-order constraints were observed with MICS reagents. Image analysis was performed using MACSIQ View software as described in Kinkhabwala et al. (2022). Certain specialized or rare cardiac populations, including conduction-system cells, lymphatic endothelium, adaptive lymphocytes, and autonomic neurons, were not represented due to panel design constraints. Applications of OMAP-36 include investigating cardiac disease mechanisms, vascular heterogeneity, and immune infiltration.

 

Bibliography:

Kinkhabwala, Ali, Christoph Herbel, Jennifer Pankratz, Dmytro A. Yushchenko, Silvia Rüberg, Paurush Praveen, Sandy Reiß, et al. 2022. “MACSima Imaging Cyclic Staining (MICS) Technology Reveals Combinatorial Target Pairs for CAR T Cell Treatment of Solid Tumors.” Scientific Reports 12 (1): 1911. https://doi.org/10.1038/s41598-022-05841-4

 

Neil, Emily, Dongju Park, Rebecca C. Hennessey, Eric C. DiBiasio, Michael DiBuono, Hanna Lafayette, Erica Lloyd, et al. 2023. “Spatial Protein and RNA Analysis on the Same Tissue Section Using MICS Technology.” bioRxiv. https://doi.org/10.1101/2023.10.27.564191 

 

Shin Lin, Marc Halushka, Avinash Boppana.HuBMAP ASCT+B Tables. Heart v1.5

https://doi.org/10.48539/HBM535.BJVS.924
DOI: 10.5281/zenodo.17419679
title: OMAP-36: Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based Imaging of Human Heart with MICS

description: OMAP-36 was developed for use with MACSima Imaging Cyclic Staining (MICS) technology, optimized for paraformaldehyde (PFA)-fixed human heart tissue. The MACSima platform (Kinkhabwala et al., 2022, https://www.nature.com/articles/s41598-022-05841-4) enables highly multiplexed imaging through iterative cycles of immunolabeling and photobleaching using FITC-, PE-, and APC-conjugated antibodies. This panel comprises 19 antibodies and the nuclear stain DAPI, which supports image registration and segmentation. It resolves five anatomical structures and nine major cardiac cell types, including endothelial, endocardial, and smooth-muscle cells, cardiomyocytes, telocytes, neurons, and immune subsets such as dendritic cells and macrophages. Most antibodies in OMAP-36 are recombinant Fc-null human IgG1 derivatives, minimizing non-specific binding and improving reproducibility without additional blocking steps. The panel defines over 60% of cardiac cell types represented in the ASCT+B Heart Table v1.5, ensuring anatomical consistency and cross-organ comparability. OMAP-36 shares 30% target overlap with OMAP-28, maintaining compatibility across imaging platforms. A subset of core markers (CD45, CD31, PLP1, NPPA, and MYL7) forms the foundation for mapping immune, vascular, neural, and cardiomyocyte compartments, enabling spatial profiling of the human atrium in health and disease. All reagents were sourced from Miltenyi Biotec and validated through internal quality controls. No cycle-order constraints were observed with MICS reagents. Image analysis was performed using MACSIQ View software as described in Kinkhabwala et al. (2022). Certain specialized or rare cardiac populations, including conduction-system cells, lymphatic endothelium, adaptive lymphocytes, and autonomic neurons, were not represented due to panel design constraints. Applications of OMAP-36 include investigating cardiac disease mechanisms, vascular heterogeneity, and immune infiltration.

 

Bibliography:

Kinkhabwala, Ali, Christoph Herbel, Jennifer Pankratz, Dmytro A. Yushchenko, Silvia Rüberg, Paurush Praveen, Sandy Reiß, et al. 2022. “MACSima Imaging Cyclic Staining (MICS) Technology Reveals Combinatorial Target Pairs for CAR T Cell Treatment of Solid Tumors.” Scientific Reports 12 (1): 1911. https://doi.org/10.1038/s41598-022-05841-4

 

Neil, Emily, Dongju Park, Rebecca C. Hennessey, Eric C. DiBiasio, Michael DiBuono, Hanna Lafayette, Erica Lloyd, et al. 2023. “Spatial Protein and RNA Analysis on the Same Tissue Section Using MICS Technology.” bioRxiv. https://doi.org/10.1101/2023.10.27.564191 

 

Shin Lin, Marc Halushka, Avinash Boppana.HuBMAP ASCT+B Tables. Heart v1.5

https://doi.org/10.48539/HBM535.BJVS.924