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1,547 results for “employers”

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geo24/100

Employing totipotent cells to reconstruct embryogenesis [scRNA-seq]

GEO Series GSE232715. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2024View details →
geo20/100

Employing proximity-dependent ligation techniques to estimate EcR/Usp molecular partners in Drosophila

GEO Series GSE139316. Drosophila melanogaster. 17 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenMar 2020View details →
geo20/100

Gene expression analysis in lungs of Mtb infected Fth+/+ and Fth-/- mice by employing RNA-Seq

GEO Series GSE112361. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2018View details →
geo20/100

Adenovirus Small E1A Employs the Lysine Acetylases p300/CBP and Tumor Suppressor Rb to Repress Select Host Genes and Promote Productive Virus Infection [IMR90_Input]

GEO Series GSE59692. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenAug 2014View details →
geo20/100

A Transcriptomic Reporter Assay Employing Neutrophils to Measure Immunogenic Activity of Septic Patients' Plasma

GEO Series GSE49758. Homo sapiens. 225 samples. Type: Expression profiling by array.

openGEO-OpenMar 2014View details →
geo20/100

Biosynthesis of histone messenger RNA employs a specific 3' end endonuclease

GEO Series GSE94686. Homo sapiens. 6 samples. Type: Other.

openGEO-OpenDec 2018View details →
geo20/100

Growth signals employ CGGBP1 to suppress transcription of Alu-SINEs [Affymetrix]

GEO Series GSE54058. Homo sapiens. 12 samples. Type: Expression profiling by array.

openGEO-OpenDec 2015View details →
geo20/100

Geminiviruses employ host DNA glycosylases to subvert DNA methylation-mediated defense

GEO Series GSE188968. Arabidopsis thaliana; Nicotiana benthamiana. 69 samples. Type: Methylation profiling by high throughput sequencing.

openGEO-OpenDec 2021View details →
geo20/100

Club cells employ regeneration mechanisms during lung tumorigenesis

GEO Series GSE176186. Mus musculus. 32 samples. Type: Methylation profiling by high throughput sequencing; Expression profiling by high throughput sequencing.

openGEO-OpenJun 2022View details →
geo20/100

Growth signals employ CGGBP1 to suppress transcription of Alu-SINEs

GEO Series GSE54059. Homo sapiens. 16 samples. Type: Expression profiling by array; Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenApr 2015View details →
geo20/100

Adenovirus Small E1A Employs the Lysine Acetylases p300/CBP and Tumor Suppressor Rb to Repress Select Host Genes and Promote Productive Virus Infection [RNA-seq]

GEO Series GSE59688. Homo sapiens. 11 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2014View details →
geo20/100

Improved patient-derived tumor models in pancreatic ductal adenocarcinoma employing orthotopic implantation

GEO Series GSE157494. Homo sapiens. 41 samples. Type: Expression profiling by array.

openGEO-OpenFeb 2022View details →
geo20/100

Employing totipotent cells to reconstruct embryogenesis [RNA-seq]

GEO Series GSE232634. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2024View details →
geo20/100

Tumor suppressor p53 employs RFX7 and ANKRA2

GEO Series GSE162184. Homo sapiens. 100 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJun 2021View details →
geo20/100

Understanding differential expression of genes during EBV lytic cycle reactivation by employing high throughput RNA-sequencing

GEO Series GSE237484. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2023View details →
zenodo20/100

FIGURE 20 in Multi-instar descriptions of cave dwelling Erythraeidae (Trombidiformes: Parasitengona) employing an integrative approach

FIGURE 20. Charletonia rocciai Treat & Flechtmann, 1979 male. A: General view; B: Ti I and Ta I, with lines pointing to the relative position of the vestigiala (κ), detailed in Fig. 9A, B; C: Crista metopica and eye; D: Palp and gnathosoma dorsal view, ar- row head pointing to the punctate palp femur; E: Palp and gnathosoma ventral view; F: Genital and anal pore, black lines indicating the tips of proximal and distal arms of the genital complex skeleton; G: Ventral setae. Scale: A= 1000 µm; B–F= 200 µm.

opennotspecifiedDec 2019View details →
zenodo20/100

FIGURE 16 in Multi-instar descriptions of cave dwelling Erythraeidae (Trombidiformes: Parasitengona) employing an integrative approach

FIGURE 16. Charletonia rocciai Treat & Flechtmann, 1979: joint between genu and tibia II, showing the presence of a microseta on the holotype (larval instar). Scale: 50 µm.

opennotspecifiedDec 2019View details →
zenodo20/100

FIGURE 8 in Multi-instar descriptions of cave dwelling Erythraeidae (Trombidiformes: Parasitengona) employing an integrative approach

FIGURE 8. Leptus sidorchukae sp. nov. larva. A: Gnathosoma ventral view; B: Palp-tarsus; C: Dorsal scutum; D: Idiosoma dorsal view; E: Idiosoma ventral view. Scale: A= 100 µm, B= 20 µm, C= 50 µm; D and E= 200 µm.

opennotspecifiedDec 2019View details →
zenodo20/100

FIGURE 3 in Multi-instar descriptions of cave dwelling Erythraeidae (Trombidiformes: Parasitengona) employing an integrative approach

FIGURE 3. Lasioerythraeus jessicae sp. nov. larva. A: Idiosoma, dorsal view; B: Idiosoma, ventral view; C: Gnathosoma, lateral view; D: Scutum; E: Dorsal setae: detail showing the blade-like and flagelliform setae; F: Palp; G: Palp tarsus. Scale: A, B, C, F= 200 µm; D= 100 µm; E, G= 50 µm.

opennotspecifiedDec 2019View details →
zenodo20/100

Generated Learning Content for 200 Online Language Learning Units employing GPT3.5

<p>This dataset includes 200 units of learning content in German generated utilizing GPT3.5, employed in an evaluation study to examine correctness and appropriateness to be used in an online language learning course.</p> <p>The dataset contains:</p> <ul> <li>Nouns (A-H),</li> <li>Verbs (a-d),</li> <li>Sentences (Aa-Da, ABb, CDc, ACa, BDa)</li> <li>A text containing nouns, and verbs</li> </ul> <p>of random topics. Topics were selected using a random surfer model. <br>Hence, the language proficiency level varies.</p> <p>Here is an example:</p> <table> <tbody> <tr> <td> <p>ID</p> </td> <td> <p><strong>Food (&ldquo;Essen&rdquo;)</strong></p> </td> <td> <p><strong>Fruits (&ldquo;Obst&rdquo;)</strong></p> </td> </tr> <tr> <td> <p>A</p> </td> <td> <p>Brot</p> </td> <td> <p>Banane</p> </td> </tr> <tr> <td> <p>B</p> </td> <td> <p>Apfel</p> </td> <td> <p>Mango</p> </td> </tr> <tr> <td> <p>C</p> </td> <td> <p>Fleisch</p> </td> <td> <p>Zitrone</p> </td> </tr> <tr> <td> <p>D</p> </td> <td> <p>Wurst</p> </td> <td> <p>Grapefruit</p> </td> </tr> <tr> <td> <p>E</p> </td> <td> <p>Ei</p> </td> <td> <p>Wassermelone</p> </td> </tr> <tr> <td> <p>F</p> </td> <td> <p>Kartoffel</p> </td> <td> <p>Erdbeere</p> </td> </tr> <tr> <td> <p>G</p> </td> <td> <p>Toast</p> </td> <td> <p>Melone</p> </td> </tr> <tr> <td> <p>H</p> </td> <td> <p>Gurke</p> </td> <td> <p>Limette</p> </td> </tr> <tr> <td> <p>a</p> </td> <td> <p>schneiden</p> </td> <td> <p>sch&auml;len</p> </td> </tr> <tr> <td> <p>b</p> </td> <td> <p>backen</p> </td> <td> <p>einfrieren</p> </td> </tr> <tr> <td> <p>c</p> </td> <td> <p>grillen</p> </td> <td> <p>pressen</p> </td> </tr> <tr> <td> <p>d</p> </td> <td> <p>w&uuml;rzen</p> </td> <td> <p>mixen</p> </td> </tr> <tr> <td> <p>Aa</p> </td> <td> <p>Ich schneide das Brot.</p> </td> <td> <p>Ich sch&auml;le die Banane.</p> </td> </tr> <tr> <td> <p>Ba</p> </td> <td> <p>Ich schneide einen Apfel.</p> </td> <td> <p>Ich sch&auml;le eine Mango.</p> </td> </tr> <tr> <td> <p>Ca</p> </td> <td> <p>Ich schneide das Fleisch.</p> </td> <td> <p>Ich sch&auml;le die Zitrone.</p> </td> </tr> <tr> <td> <p>Da</p> </td> <td> <p>Die Wurst schneiden.</p> </td> <td> <p>Ich sch&auml;le die Grapefruit.</p> </td> </tr> <tr> <td> <p>ABb</p> </td> <td> <p>Ich backe Brot und esse dazu einen Apfel.</p> </td> <td> <p>Ich kann Banane und Mango einfrieren, wenn ich sie nicht gleich esse.</p> </td> </tr> <tr> <td> <p>CDc</p> </td> <td> <p>Ich will heute Abend Fleisch und Wurst auf dem Grill grillen.</p> </td> <td> <p>Ich presse die Zitrone und die Grapefruit f&uuml;r den Saft.</p> </td> </tr> <tr> <td> <p>ACa</p> </td> <td> <p>Ich schneide Brot und Fleisch f&uuml;r das Sandwich.</p> </td> <td> <p>Ich sch&auml;le Bananen und Zitronen zum Fr&uuml;hst&uuml;ck.</p> </td> </tr> <tr> <td> <p>BDa</p> </td> <td> <p>Ich schneide den Apfel und die Wurst.</p> </td> <td> <p>Ich muss die Mango und Grapefruit sch&auml;len.</p> </td> </tr> <tr> <td> <p>Text</p> </td> <td> <p>Ich backe gerne frisches Brot.</p> <p>Dazu schneide ich eine Gurke.</p> <p>Auf dem Grill brate ich Fleisch.</p> <p>Das Wurstbrot schmeckt auch lecker.</p> <p>Ein Ei geh&ouml;rt auf jedes Toast.</p> <p>Mit Kartoffeln mache ich Pommes.</p> <p>Ein Apfel rundet das Fr&uuml;hst&uuml;ck ab.</p> <p>Ich w&uuml;rze das Steak mit Salz.</p> <p>Eine Wurst kann man auch grillen.</p> </td> <td> <p>Ich liebe Obst.</p> <p>Heute kaufe ich Bananen, Mangos und Zitronen.</p> <p>Auch Grapefruits und Wassermelonen sind im Angebot.</p> <p>Ich sch&auml;le die Bananen und friere sie ein.</p> <p>Die Mango presse ich zu Saft.</p> <p>Die Zitronen verwende ich f&uuml;r Limonade.</p> <p>In den Mixer kommen Erdbeeren und Melone.</p> <p>Eine Limette verleiht dem Smoothie den letzten Kick.</p> </td> </tr> </tbody> </table> <p>The study conducted can be found here: R&uuml;dian, Sylvio; Pinkwart, Niels (2023): Auto-generated language learning online courses using generative AI models like ChatGPT. 21. Fachtagung Bildungstechnologien (DELFI). DOI: 10.18420/delfi2023-14. Bonn: Gesellschaft f&uuml;r Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-732-6. pp. 65-76. Best-Paper-Kandidaten. Aachen. 11.-13. September 2023</p>

restrictedcc-by-4.0Feb 2024View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record