cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13920083
title: Datasets for KGDDP-biomarker

description: The following Gene Expression Omnibus (GEO) accession numbers were used: GSE169568 and GSE126124. The drug-target interaction (DTI) data was sourced from the DrugBank database, while the protein-protein interaction (PPI) and Gene Ontology data were obtained from the UniProt database. Pathway data was retrieved from the Reactome database. 

1. **Knowledge Graph Data** (`kg`):   - **File**: `kg_del_selfloop.csv`   - **Description**: This dataset contains the knowledge graph data that represents relationships between biological entities, including drugs, proteins, and diseases. It is crucial for understanding the interconnections and enhancing the predictive capabilities of the model.

2. **Negative Pathway-Protein Relationships** (`pro_path_neg_sp`):   - **File**: `human_neg_pathpro.csv`   - **Description**: This dataset provides information about negative relationships between pathways and proteins. It helps to identify potential non-relevant or inhibitory connections that may impact disease diagnosis.

3. **Negative Disease-Protein Interactions** (`dpi_neg`):   - **File**: `neg_dpi_df_t10.csv`   - **Description**: This dataset includes negative interactions between diseases and proteins, which assists in refining the model by removing misleading associations that do not contribute positively to predictions.

4. **Feature Profiles** (`fp_df`):   - **File**: `bdki_db_gdsc_fp.csv`   - **Description**: This dataset contains feature profiles of various samples, which are used to train the model. It includes a variety of biomarker data that is essential for accurate disease prediction.

5. **Expression Triples** (`exp_triples`):   - **File**: `exp_triples.csv`   - **Description**: This dataset consists of expression triples representing relationships between genes and their expression levels. It is crucial for capturing the expression profiles of samples and understanding their role in disease pathology.

6. **Expression Graph Triples** (`exp_triples_graph`):   - **File**: `exp_graph_triples.csv`   - **Description**: This dataset contains graph triples that depict relationships within the expression data. It is used to construct a graph representation of the data, which is essential for graph-based analysis techniques.

7. **Expression Input Data** (`exp_input`):   - **File**: `se_exp_input.csv`   - **Description**: This dataset serves as the input for the expression data model, containing necessary information to perform predictions based on gene expression levels.

8. **Sample Information** (`dls`):   - **File**: `sample_info.csv`   - **Description**: This dataset includes sample information, including diagnosis details. It is used to filter out samples without diagnosis data and plays a critical role in training and validating the model.
DOI: 10.18738/t8/uoes4s/ocyr1n
title: Vid2RealPhase2_P18_vlp16_000393.bin
DOI: 10.18738/t8/uoes4s/tdfgab
title: Vid2RealPhase2_P18_vlp16_000434.bin
DOI: 10.18738/t8/uoes4s/rikqzu
title: Vid2RealPhase2_P18_vlp16_000084.bin
DOI: 10.18738/t8/uoes4s/s1bqul
title: Vid2RealPhase2_P18_vlp16_000342.bin
DOI: 10.18738/t8/uoes4s/jqvcvo
title: Vid2RealPhase2_P18_vlp16_000394.bin
DOI: 10.18738/t8/uoes4s/kzfbwo
title: Vid2RealPhase2_P18_vlp16_000052.bin
DOI: 10.18738/t8/uoes4s/izidc5
title: Vid2RealPhase2_P18_vlp16_000345.bin
DOI: 10.18738/t8/uoes4s/jsczha
title: Vid2RealPhase2_P18_vlp16_000433.bin
DOI: 10.18738/t8/uoes4s/ejysxc
title: Vid2RealPhase2_P18_vlp16_000083.bin
DOI: 10.18738/t8/uoes4s/5kmrn2
title: Vid2RealPhase2_P18_vlp16_000176.bin
DOI: 10.18738/t8/uoes4s/fh9mya
title: Vid2RealPhase2_P18_vlp16_000339.bin
DOI: 10.18738/t8/uoes4s/uggkzg
title: Vid2RealPhase2_P18_vlp16_000261.bin
DOI: 10.18738/t8/uoes4s/5anb6v
title: Vid2RealPhase2_P18_vlp16_000213.bin
DOI: 10.18738/t8/uoes4s/iwn3q1
title: Vid2RealPhase2_P18_vlp16_000104.bin
DOI: 10.18738/t8/uoes4s/6vhl7x
title: Vid2RealPhase2_P18_vlp16_000178.bin
DOI: 10.18738/t8/uoes4s/kpli5d
title: Vid2RealPhase2_P18_vlp16_000020.bin
DOI: 10.18738/t8/uoes4s/wn03b3
title: Vid2RealPhase2_P18_vlp16_000441.bin
DOI: 10.18738/t8/uoes4s/e3gbi0
title: Vid2RealPhase2_P18_vlp16_000268.bin
DOI: 10.18738/t8/uoes4s/hanfx6
title: Vid2RealPhase2_P18_vlp16_000337.bin
DOI: 10.18738/t8/uoes4s/sorj2x
title: Vid2RealPhase2_P18_vlp16_000027.bin
DOI: 10.18738/t8/uoes4s/5daltd
title: Vid2RealPhase2_P18_vlp16_000330.bin
DOI: 10.18738/t8/uoes4s/lsx3md
title: Vid2RealPhase2_P18_vlp16_000446.bin
DOI: 10.18738/t8/uoes4s/zflsee
title: Vid2RealPhase2_P18_vlp16_000214.bin
DOI: 10.18738/t8/uoes4s/zpmjn7
title: Vid2RealPhase2_P18_vlp16_000103.bin
DOI: 10.18738/t8/uoes4s/zw1cf0
title: Vid2RealPhase2_P18_vlp16_000305.bin
DOI: 10.18738/t8/uoes4s/pjhl0y
title: Vid2RealPhase2_P18_vlp16_000473.bin
DOI: 10.18738/t8/uoes4s/xzjqxa
title: Vid2RealPhase2_P18_vlp16_000012.bin
DOI: 10.18738/t8/uoes4s/2bqeg2
title: Vid2RealPhase2_P18_vlp16_000221.bin
DOI: 10.18738/t8/uoes4s/tcfcjj
title: Vid2RealPhase2_P18_vlp16_000136.bin
DOI: 10.18738/t8/uoes4s/2bbdvk
title: Vid2RealPhase2_P18_vlp16_000379.bin
DOI: 10.18738/t8/uoes4s/xmb4ia
title: Vid2RealPhase2_P18_vlp16_000131.bin
DOI: 10.18738/t8/uoes4s/qrlr3c
title: Vid2RealPhase2_P18_vlp16_000226.bin
DOI: 10.18738/t8/uoes4s/7cwyrp
title: Vid2RealPhase2_P18_vlp16_000408.bin
DOI: 10.18738/t8/uoes4s/j6fe3j
title: Vid2RealPhase2_P18_vlp16_000069.bin
DOI: 10.17632/6zjj4zwrkx.1
title: Gen AI and Finance

description: The data is used in a study titled "Generative AI in Finance: Insights from Machine Learning-Based Analysis"
DOI: 10.18738/t8/uoes4s/17dbsp
title: Vid2RealPhase2_P18_vlp16_000474.bin
DOI: 10.18738/t8/uoes4s/yzwqic
title: Vid2RealPhase2_P18_vlp16_000302.bin
DOI: 10.18738/t8/uoes4s/b7zant
title: Vid2RealPhase2_P18_vlp16_000015.bin
DOI: 10.18738/t8/uoes4s/hvhbqn
title: Vid2RealPhase2_P18_vlp16_000228.bin
DOI: 10.18738/t8/uoes4s/lxazpu
title: Vid2RealPhase2_P18_vlp16_000370.bin
DOI: 10.18738/t8/uoes4s/peeiwh
title: Vid2RealPhase2_P18_vlp16_000406.bin
DOI: 10.18738/t8/uoes4s/bp8dnq
title: Vid2RealPhase2_P18_vlp16_000067.bin
DOI: 10.18738/t8/uoes4s/qjmbsg
title: Vid2RealPhase2_P18_vlp16_000285.bin
DOI: 10.18738/t8/uoes4s/eebgpy
title: Vid2RealPhase2_P18_vlp16_000192.bin
DOI: 10.18738/t8/uoes4s/nbfpcp
title: Vid2RealPhase2_P18_vlp16_000143.bin
DOI: 10.18738/t8/uoes4s/ehd7h9
title: Vid2RealPhase2_P18_vlp16_000144.bin
DOI: 10.18738/t8/uoes4s/h0xflh
title: Vid2RealPhase2_P18_vlp16_000254.bin
DOI: 10.18738/t8/uoes4s/z1qube
title: Vid2RealPhase2_P18_vlp16_000282.bin
DOI: 10.5281/zenodo.13748709
title: Dopamine transients encode reward prediction errors independent of learning rates

description: This behavioral and modeling data was used and described in the following paper: Mah, A., Golden C.E.M., Constantinople, C.M. (2023). Dopamine transients encode reward prediction errors independent of learning rates. Cell Reports. The dataset comprises 

1) Behavioral data for the value-based decision making task in rats, and 

2) computational models fit to the rat behavioral data. 

Photometry data used in Figure 4 is used in other studies currently under review and will be made publically avaiable once all other studies are published.

All files are Matlab data (.mat) files. The code to analyze this data and generate all figures in Mah et al., 2023 is available at {https://github.com/constantinoplelab/published/tree/main/rat_behavior}. Data was analyzed using Matlab 2023a with the following additional toolboxes:Curve FitterOptimizationSignal Analyzer

Funding: This work was supported by a K99/R00 Pathway to Independence Award (R00MH111926), an Alfred P. Sloan Fellowship, a Klingenstein-Simons Fellowship in Neuroscience, an NIH Director's New Innovator Award (DP2MH126376), an NSF CAREER Award, R01MH125571, and a McKnight Scholars Award to C.M.C. A.M. was supported by 5T90DA043219 and F31MH130121. A.M. and S.S.S. were supported by 5T32MH019524.
DOI: 10.18738/t8/uoes4s/v2typp
title: Vid2RealPhase2_P18_vlp16_000195.bin
DOI: 10.5281/zenodo.13748708
title: Dopamine transients encode reward prediction errors independent of learning rates

description: This behavioral and modeling data was used and described in the following paper: Mah, A., Golden C.E.M., Constantinople, C.M. (2023). Dopamine transients encode reward prediction errors independent of learning rates. Cell Reports. The dataset comprises:

1) Behavioral data for the value-based decision making task in rats (Mah_CellReports_BehavorialData.zip)

2) Computational models fit to the rat behavioral data (Mah_CellReports_BehavorialData.zip)

3) Photometry recordings of GRAB_DA (fluorescent dopamine sensor) in the nucleus accumbens recorded from rats performing the task (Mah_CellReports_PhotometryData.zip)

All files are Matlab data (.mat) files. The code to analyze this data and generate all figures in Mah et al., 2023 is available here. Data was analyzed using Matlab 2023a with the following additional toolboxes:Curve FitterOptimizationSignal Analyzer

Funding: This work was supported by a K99/R00 Pathway to Independence Award (R00MH111926), an Alfred P. Sloan Fellowship, a Klingenstein-Simons Fellowship in Neuroscience, an NIH Director's New Innovator Award (DP2MH126376), an NSF CAREER Award, R01MH125571, and a McKnight Scholars Award to C.M.C. A.M. was supported by 5T90DA043219 and F31MH130121. A.M. and S.S.S. were supported by 5T32MH019524.
DOI: 10.5281/zenodo.13891951
title: Dopamine transients encode reward prediction errors independent of learning rates

description: This behavioral and modeling data was used and described in the following paper: Mah, A., Golden C.E.M., Constantinople, C.M. (2023). Dopamine transients encode reward prediction errors independent of learning rates. Cell Reports. The dataset comprises:

1) Behavioral data for the value-based decision making task in rats (Mah_CellReports_BehavorialData.zip)

2) Computational models fit to the rat behavioral data (Mah_CellReports_BehavorialData.zip)

3) Photometry recordings of GRAB_DA (fluorescent dopamine sensor) in the nucleus accumbens recorded from rats performing the task (Mah_CellReports_PhotometryData.zip)

All files are Matlab data (.mat) files. The code to analyze this data and generate all figures in Mah et al., 2023 is available here. Data was analyzed using Matlab 2023a with the following additional toolboxes:Curve FitterOptimizationSignal Analyzer

Funding: This work was supported by a K99/R00 Pathway to Independence Award (R00MH111926), an Alfred P. Sloan Fellowship, a Klingenstein-Simons Fellowship in Neuroscience, an NIH Director's New Innovator Award (DP2MH126376), an NSF CAREER Award, R01MH125571, and a McKnight Scholars Award to C.M.C. A.M. was supported by 5T90DA043219 and F31MH130121. A.M. and S.S.S. were supported by 5T32MH019524.
DOI: 10.17632/49mxf7292c.1
title: Virtual and human influencer data

description: Can virtual influencers replace human influencers? --Tests based on content characteristics and product type
This is all the raw data covered in above thesis, including the pretest data as well as the data used in Study 1 and Study 2
DOI: 10.18738/t8/uoes4s/fhf6fp
title: Vid2RealPhase2_P18_vlp16_000253.bin
DOI: 10.18738/t8/uoes4s/n1czdh
title: Vid2RealPhase2_P18_vlp16_000138.bin
DOI: 10.18738/t8/uoes4s/nwu1ge
title: Vid2RealPhase2_P18_vlp16_000377.bin
DOI: 10.18738/t8/uoes4s/di4ncm
title: Vid2RealPhase2_P18_vlp16_000401.bin
DOI: 10.18738/t8/uoes4s/oouoar
title: Vid2RealPhase2_P18_vlp16_000060.bin
DOI: 10.18738/t8/uoes4s/7e46nc
title: Vid2RealPhase2_P18_vlp16_000184.bin
DOI: 10.18738/t8/uoes4s/bfowex
title: Vid2RealPhase2_P18_vlp16_000242.bin
DOI: 10.18738/t8/uoes4s/4yhlxw
title: Vid2RealPhase2_P18_vlp16_000155.bin
DOI: 10.18738/t8/uoes4s/onwob0
title: Vid2RealPhase2_P18_vlp16_000293.bin
DOI: 10.17632/bkrytcb22n.1
title: ScAQPs experiment data

description: In this experiment, we investigated the role of AQP4 and AQP10 in the low salt stress of razor clams. Firstly, the spatio-temporal pattern of AQPs distribution was obtained by measuring the expression of AQPs in various tissues of razor clam and gill tissues under low salt stress. Subsequently, dsRNA interference was used to knock down AQPs, and the heart rate, survival, and apoptosis rate of razor clams were measured to verify the role played by AQPs in osmoregulation of razor clams
DOI: 10.18738/t8/uoes4s/aqrpjv
title: Vid2RealPhase2_P18_vlp16_000410.bin
DOI: 10.18738/t8/uoes4s/jg9pep
title: Vid2RealPhase2_P18_vlp16_000071.bin
DOI: 10.18738/t8/uoes4s/2cz3yj
title: Vid2RealPhase2_P18_vlp16_000129.bin
DOI: 10.18738/t8/uoes4s/8xeczb
title: Vid2RealPhase2_P18_vlp16_000366.bin
DOI: 10.18738/t8/uoes4s/1esksh
title: Vid2RealPhase2_P18_vlp16_000417.bin
DOI: 10.18738/t8/uoes4s/9jwl0a
title: Vid2RealPhase2_P18_vlp16_000076.bin
DOI: 10.18738/t8/uoes4s/fcglae
title: Vid2RealPhase2_P18_vlp16_000239.bin
DOI: 10.18738/t8/uoes4s/h5568s
title: Vid2RealPhase2_P18_vlp16_000361.bin
DOI: 10.18738/t8/uoes4s/23fwhm
title: Vid2RealPhase2_P18_vlp16_000183.bin
DOI: 10.18738/t8/uoes4s/ttrlg1
title: Vid2RealPhase2_P18_vlp16_000245.bin
DOI: 10.18738/t8/uoes4s/wjjdcy
title: Vid2RealPhase2_P18_vlp16_000294.bin
DOI: 10.18738/t8/uoes4s/yyttzs
title: Vid2RealPhase2_P18_vlp16_000152.bin
DOI: 10.18738/t8/uoes4s/bxpxhi
title: Vid2RealPhase2_P18_vlp16_000419.bin
DOI: 10.18738/t8/uoes4s/urgjqo
title: Vid2RealPhase2_P18_vlp16_000078.bin
DOI: 10.18738/t8/uoes4s/1pvfqu
title: Vid2RealPhase2_P18_vlp16_000237.bin
DOI: 10.18738/t8/uoes4s/jw1pqi
title: Vid2RealPhase2_P18_vlp16_000120.bin
DOI: 10.18738/t8/uoes4s/c0jpf7
title: Vid2RealPhase2_P18_vlp16_000004.bin
DOI: 10.18738/t8/uoes4s/jyexio
title: Vid2RealPhase2_P18_vlp16_000465.bin
DOI: 10.18738/t8/uoes4s/qot4it
title: Vid2RealPhase2_P18_vlp16_000313.bin
DOI: 10.18738/t8/uoes4s/cwy1wa
title: Vid2RealPhase2_P18_vlp16_000462.bin
DOI: 10.18738/t8/uoes4s/pw0kcv
title: Vid2RealPhase2_P18_vlp16_000003.bin
DOI: 10.18738/t8/uoes4s/b4pw2i
title: Vid2RealPhase2_P18_vlp16_000314.bin
DOI: 10.18738/t8/uoes4s/vihstp
title: Vid2RealPhase2_P18_vlp16_000368.bin
DOI: 10.18738/t8/uoes4s/hoztnd
title: Vid2RealPhase2_P18_vlp16_000127.bin
DOI: 10.18738/t8/uoes4s/o8pmqk
title: Vid2RealPhase2_P18_vlp16_000230.bin
DOI: 10.18738/t8/uoes4s/vchedh
title: Vid2RealPhase2_P18_vlp16_000321.bin
DOI: 10.18738/t8/uoes4s/er5obt
title: Vid2RealPhase2_P18_vlp16_000036.bin
DOI: 10.18738/t8/uoes4s/upb3up
title: Vid2RealPhase2_P18_vlp16_000457.bin
DOI: 10.18738/t8/uoes4s/lr3ofa
title: Vid2RealPhase2_P18_vlp16_000279.bin
DOI: 10.18738/t8/uoes4s/x24fqz
title: Vid2RealPhase2_P18_vlp16_000112.bin
DOI: 10.18738/t8/uoes4s/3hdtzm
title: Vid2RealPhase2_P18_vlp16_000205.bin
DOI: 10.18738/t8/uoes4s/s6e6qa
title: Vid2RealPhase2_P18_vlp16_000115.bin
DOI: 10.18738/t8/uoes4s/f4d7he
title: Vid2RealPhase2_P18_vlp16_000202.bin
DOI: 10.18738/t8/uoes4s/ztuqkq
title: Vid2RealPhase2_P18_vlp16_000326.bin
DOI: 10.18738/t8/uoes4s/1pzsgi
title: Vid2RealPhase2_P18_vlp16_000031.bin
DOI: 10.18738/t8/uoes4s/otsrbe
title: Vid2RealPhase2_P18_vlp16_000481.bin
DOI: 10.15468/dl.jnz4b8
title: Occurrence Download

description: A dataset containing 787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis viscosa (Retz.) Trin.",
 "Continent is Africa"
 ]
}

 The dataset includes 787 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008192-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/a4bmgs
title: Vid2RealPhase2_P18_vlp16_000169.bin
DOI: 10.18738/t8/uoes4s/jskgfd
title: Vid2RealPhase2_P18_vlp16_000450.bin
DOI: 10.18738/t8/uoes4s/iouqzm
title: Vid2RealPhase2_P18_vlp16_000092.bin
DOI: 10.18738/t8/uoes4s/ydi1kq
title: Vid2RealPhase2_P18_vlp16_000354.bin
DOI: 10.18738/t8/uoes4s/m88h0w
title: Vid2RealPhase2_P18_vlp16_000422.bin
DOI: 10.18738/t8/uoes4s/wa6c1x
title: Vid2RealPhase2_P18_vlp16_000043.bin
DOI: 10.18738/t8/uoes4s/ilstsu
title: Vid2RealPhase2_P18_vlp16_000328.bin
DOI: 10.18738/t8/uoes4s/vfbm7v
title: Vid2RealPhase2_P18_vlp16_000385.bin
DOI: 10.18738/t8/uoes4s/bqadnj
title: Vid2RealPhase2_P18_vlp16_000038.bin
DOI: 10.18738/t8/uoes4s/iczqyp
title: Vid2RealPhase2_P18_vlp16_000270.bin
DOI: 10.18738/t8/uoes4s/nlsgy7
title: Vid2RealPhase2_P18_vlp16_000167.bin
DOI: 10.18738/t8/uoes4s/rjvy3j
title: Vid2RealPhase2_P18_vlp16_000160.bin
DOI: 10.18738/t8/uoes4s/uivrqt
title: Vid2RealPhase2_P18_vlp16_000459.bin
DOI: 10.18738/t8/uoes4s/42dcce
title: Vid2RealPhase2_P18_vlp16_000095.bin
DOI: 10.18738/t8/uoes4s/8ep9rm
title: Vid2RealPhase2_P18_vlp16_000277.bin
DOI: 10.18738/t8/uoes4s/trfauh
title: Vid2RealPhase2_P18_vlp16_000353.bin
DOI: 10.18738/t8/uoes4s/ahufwa
title: Vid2RealPhase2_P18_vlp16_000044.bin
DOI: 10.18738/t8/uoes4s/ilxmfy
title: Vid2RealPhase2_P18_vlp16_000382.bin
DOI: 10.18738/t8/uoes4s/pefkt4
title: Vid2RealPhase2_P18_vlp16_000425.bin
DOI: 10.18738/t8/uoes4s/3hxzz9
title: Vid2RealPhase2_P18_vlp16_000414.bin
DOI: 10.18738/t8/uoes4s/ghchqo
title: Vid2RealPhase2_P18_vlp16_000075.bin
DOI: 10.18738/t8/uoes4s/zpsa7i
title: Vid2RealPhase2_P18_vlp16_000362.bin
DOI: 10.18738/t8/uoes4s/3acg0o
title: Vid2RealPhase2_P18_vlp16_000009.bin
DOI: 10.18738/t8/uoes4s/jag5hz
title: Vid2RealPhase2_P18_vlp16_000468.bin
DOI: 10.18738/t8/uoes4s/5hlgxj
title: Vid2RealPhase2_P18_vlp16_000246.bin
DOI: 10.18738/t8/uoes4s/zanpdy
title: Vid2RealPhase2_P18_vlp16_000180.bin
DOI: 10.18738/t8/uoes4s/wcfld4
title: Vid2RealPhase2_P18_vlp16_000151.bin
DOI: 10.18738/t8/uoes4s/fud7nk
title: Vid2RealPhase2_P18_vlp16_000319.bin
DOI: 10.18738/t8/uoes4s/zy1mjn
title: Vid2RealPhase2_P18_vlp16_000297.bin
DOI: 10.18738/t8/uoes4s/6zpzmf
title: Vid2RealPhase2_P18_vlp16_000187.bin
DOI: 10.18738/t8/uoes4s/irjln5
title: Vid2RealPhase2_P18_vlp16_000241.bin
DOI: 10.18738/t8/uoes4s/3beokd
title: Vid2RealPhase2_P18_vlp16_000072.bin
DOI: 10.18738/t8/uoes4s/xg0sgf
title: Vid2RealPhase2_P18_vlp16_000290.bin
DOI: 10.18738/t8/uoes4s/yvmvmb
title: Vid2RealPhase2_P18_vlp16_000156.bin
DOI: 10.18738/t8/uoes4s/5aszm9
title: Vid2RealPhase2_P18_vlp16_000413.bin
DOI: 10.18738/t8/uoes4s/zn5lhc
title: Vid2RealPhase2_P18_vlp16_000365.bin
DOI: 10.18738/t8/uoes4s/2tttvs
title: Vid2RealPhase2_P18_vlp16_000000.bin
DOI: 10.18738/t8/uoes4s/ghjkyj
title: Vid2RealPhase2_P18_vlp16_000461.bin
DOI: 10.18738/t8/uoes4s/2kchim
title: Vid2RealPhase2_P18_vlp16_000317.bin
DOI: 10.18738/t8/uoes4s/tprpy7
title: Vid2RealPhase2_P18_vlp16_000189.bin
DOI: 10.18738/t8/uoes4s/ghcyft
title: Vid2RealPhase2_P18_vlp16_000233.bin
DOI: 10.18738/t8/uoes4s/mryadg
title: Vid2RealPhase2_P18_vlp16_000124.bin
DOI: 10.18738/t8/uoes4s/rviujq
title: Vid2RealPhase2_P18_vlp16_000158.bin
DOI: 10.15468/dl.39gd36
title: Occurrence Download

description: A dataset containing 58750724 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Arthropoda",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 30, 46 30, 46 68, -26 68, -26 30))"
 ]
}

 The dataset includes 58750724 records from 5034 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008114-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsrt5m
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Vandeleuria nilagirica (Jerdon, 1867)"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065806-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/examiner-c44-21778
title: Shooting near Veterans Hospital (Sawtelle) two persons killed, 1946..

description: 9 images. Shooting near Veterans Hospital (Sawtelle Boulevard) two persons killed, 15 July 1946.
DOI: 10.25582/data.2020-12.2109740/2359586
title: Data for EMSL Project 49229 from December 2020
DOI: 10.15468/dl.bu938y
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Nyctiellus lepidus (Gervais, 1837)"
 ]
}

 The dataset includes 290 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065793-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfqi0t
title: Occurrence Download

description: A dataset containing 979 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leucaena leucocephala (Lam.) de Wit",
 {
 "or" : [
 "Country is Ghana",
 "Country is Portugal",
 "Country is India",
 "Country is Japan",
 "Country is Tanzania, United Republic of",
 "Country is South Africa",
 "Country is Guinea",
 "Country is Chile",
 "Country is Colombia",
 "Country is Spain",
 "Country is Costa Rica",
 "Country is Brazil",
 "Country is Uganda",
 "Country is Australia",
 "Country is Nigeria",
 "Country is Kenya",
 "Country is Pakistan",
 "Country is Ecuador"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 979 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036700-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/examiner-c44-27448
title: Santa Claus Lane, 1951

description: 35 images. Santa Claus Lane, 29 November 1951. Marymount College Float; Christie Costello -- 4 years; Madonna -- Mary Terese Cooper; Georgia May Galloway; Don Hull -- 6 years; Bobby Stubbs -- 7 years; Raymond Carter -- 3 years; Harriet Johnson -- 3 years; Margaret Johnson -- 5 years; Roy Rogers; Dale Evans; Santa Claus; William Parker (Chairman); Red Skelton; John Kingsley (President of Hollywood Chamber of Commerce); Babette Williams; Gee Gee (The Magical Clown); Gail Storm; Lee Bonnell (Husband); Peter Bonnell -- 5 years; Philip Bonnell -- 8 years; Paul Bonnell -- 4 years.
DOI: 10.25582/data.2020-05.1984358/2359587
title: Data for EMSL Project 49229 from May 2020
DOI: 10.25549/examiner-c44-17605
title: National public parks & playground Junior Tennis Championships, 1951

description: 10 images. National public parks & playground Junior Tennis Championships, 10 August 1951. Mary Ann Eilenberger (San Diego); Linda Mitchell (San Diego); Richard Doss (San Diego).
DOI: 10.25582/data.2020-05.1985037/2359588
title: Data for EMSL Project 49229 from May 2020
DOI: 10.25549/examiner-c44-21666
title: Mothers Day at Coliseum, 1945

description: 27 images. Mothers Day at Coliseum, 13 May 1945. Mrs. H.F. Wotring (with three boys); Sam Hutchinson; Flora Chapman; Sergeant Lena Tschantre; Sergeant Betty Leslie; Nell Lawson (with baby); J.S. Ewing; Esther Contreras; Alice Bender; Mrs. J. Wending; Earl B. Clark (Chaplain); Ronald Eugene Richards; Mrs. Amy Dickson.
DOI: 10.25582/data.2020-05.1984106/2359589
title: Data for EMSL Project 49229 from May 2020
DOI: 10.25582/data.2020-05.1985177/2359590
title: Data for EMSL Project 49229 from May 2020
DOI: 10.25549/examiner-c44-16039
title: City Hall flag at half mast, 1951

description: 13 images. City Hall flag at half mast, 15 August 1951. Spring Street entrance.