cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc4t569
title: CCDC 143350: Experimental Crystal Structure Determination

description: Related Article: O.Blacque, H.Brunner, M.M.Kubicki, F.Leis, D.Lucas, Y.Mugnier, B.Nuber, J.Wachter|2001|Chem.-Eur.J.|7|1342|doi:10.1002/1521-3765(20010316)7:6<1342::AID-CHEM1342>3.0.CO;2-D
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.t342c5
title: Occurrence Download

description: A dataset containing 3868 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 Adenanthera L."
 ]
}

 The dataset includes 3868 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010630-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25550/7z-41cw
title: ChIPseq datasets of SIX2-related Craniofacial study

description: We performed ChIPseq assay with Six2 anibody to identify endogenous Six2 binding genomic locus in mouse embryonic facial tissues. We performed ChIPseq assay CTCF antibody to identify possible TAD boundary in Six3-Six2 genomic region. We generated ChIP libraries and send for next generation sequencing. We also generated input libraries as control samples.
DOI: 10.25549/inscriptifact-ouc110617530
title: Persepolis Fortification Elamite Tablet 1036, PF-NN 1036

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] PF-NN 1036 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on upper edge. ❧ [Physical Object Note:] Tablet fragmented with obverse, reverse, round edge and partial upper edge visible. Chipping on face of obverse.
DOI: 10.25549/inscriptifact-ouc110617461
title: Persepolis Fortification Elamite Tablet 1385, PF-NN 1385

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] PF-NN 1385 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on upper edge and flat edge (?). Aramaic inscription on upper edge. ❧ [Physical Object Note:] Minor damage to tablet. Large crack on face of reverse and obverse.
DOI: 10.25549/inscriptifact-ouc1sto1610572
title: InscriptiFact -- an image database of inscriptions and artifacts

description: The InscriptiFact Collection is designed to allow access via the Internet to high-resolution images of ancient inscriptions and artifacts, primarily from the Near Eastern and Mediterranean Worlds. The targeted inscriptions constitute some of the world’s earliest written records, which are mostly housed in a number of international museums and libraries, as well as field projects where inscriptions still remain in situ. Included, for example, are, selected Dead Sea Scrolls; cuneiform tablets from Mesopotamia, Persia, Canaan and Egypt; early Jewish papyri from Egypt; lapidary inscriptions, primarily from Jordan, Lebanon and Cyprus; inscriptions on a variety of hard media (e.g., ostraca, copper, semi-precious stones, jar handles) mostly written in early Canaanite, Phoenician, Hebrew, Aramaic, Ammonite and Edomite; and much more. These ancient texts are foundational documents that serve as a point of reference for Judaism, Christianity, Islam and the cultures out of which they emerged. The name "InscriptiFact" is intended to convey the concept of a scholarly archive based on "facts" about "inscriptions" and "artifacts." West Semitic Research Project (WSRP) under the auspices of the University of Southern California (USC) is broadly acknowledged as a leader in the application of photographic and digital technologies to capture and analyze data of ancient texts. The West Semitic Research image archive now contains approximately 1,500,000 images. Important! Search terms with more than one word or number need to be enclosed in quotation marks.Guide to Searching InscriptiFact
DOI: 10.25549/inscriptifact-ouc110617457
title: Persepolis Fortification Elamite Tablet 1385, PF-NN 1385

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] PF-NN 1385 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on upper edge and flat edge (?). Aramaic inscription on upper edge. ❧ [Physical Object Note:] Minor damage to tablet. Large crack on face of reverse and obverse.
DOI: 10.25549/inscriptifact-ouc110617439
title: Persepolis Fortification Anepigraphic Tablet 0400.201, PFAnep 0400.201

description: [Text Description:] Administrative texts with seals ❧ [Text or Publication Number Note:] PFAnep 0400.201, PFUT 0400-201 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impression on obverse. ❧ [Physical Object Note:] Obverse, round edge and obverse, bottom edge toward flat edge chipped. Bottom edge cracked.
DOI: 10.25549/inscriptifact-ouc110617460
title: Persepolis Fortification Elamite Tablet 0001, PF-NN 0001

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] PF-NN 0001 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on reverse, upper edge, left edge and right edge. ❧ [Physical Object Note:] Large cracks on obverse and reverse. Bottom edge toward right edge broken off. Left edge chipped.
DOI: 10.25549/inscriptifact-ouc110617434
title: Persepolis Fortification Elamite Tablet 1385, PF-NN 1385

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] PF-NN 1385 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on upper edge and flat edge (?). Aramaic inscription on upper edge. ❧ [Physical Object Note:] Minor damage to tablet. Large crack on face of reverse and obverse.
DOI: 10.25549/inscriptifact-ouc110617456
title: Persepolis Fortification Elamite Tablet 0299, PF-NN 0299

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] PF-NN 0299 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on flat edge and upper edge. ❧ [Physical Object Note:] Obverse face chipped right edge toward bottom edge.
DOI: 10.25549/inscriptifact-ouc110617432
title: Persepolis Fortification Elamite Tablet 1385, PF-NN 1385

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] PF-NN 1385 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on upper edge and flat edge (?). Aramaic inscription on upper edge. ❧ [Physical Object Note:] Minor damage to tablet. Large crack on face of reverse and obverse.
DOI: 10.25549/inscriptifact-ouc1sto1610906
title: InscriptiFact -- an image database of inscriptions and artifacts

description: The InscriptiFact Collection is designed to allow access via the Internet to high-resolution images of ancient inscriptions and artifacts, primarily from the Near Eastern and Mediterranean Worlds. The targeted inscriptions constitute some of the world’s earliest written records, which are mostly housed in a number of international museums and libraries, as well as field projects where inscriptions still remain in situ. Included, for example, are, selected Dead Sea Scrolls; cuneiform tablets from Mesopotamia, Persia, Canaan and Egypt; early Jewish papyri from Egypt; lapidary inscriptions, primarily from Jordan, Lebanon and Cyprus; inscriptions on a variety of hard media (e.g., ostraca, copper, semi-precious stones, jar handles) mostly written in early Canaanite, Phoenician, Hebrew, Aramaic, Ammonite and Edomite; and much more. These ancient texts are foundational documents that serve as a point of reference for Judaism, Christianity, Islam and the cultures out of which they emerged. The name "InscriptiFact" is intended to convey the concept of a scholarly archive based on "facts" about "inscriptions" and "artifacts." West Semitic Research Project (WSRP) under the auspices of the University of Southern California (USC) is broadly acknowledged as a leader in the application of photographic and digital technologies to capture and analyze data of ancient texts. The West Semitic Research image archive now contains approximately 1,500,000 images. Important! Search terms with more than one word or number need to be enclosed in quotation marks.Guide to Searching InscriptiFact
DOI: 10.25549/inscriptifact-ouc110617431
title: Persepolis Fortification Anepigraphic Tablet 0400.201, PFAnep 0400.201

description: [Text Description:] Administrative texts with seals ❧ [Text or Publication Number Note:] PFAnep 0400.201, PFUT 0400-201 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impression on obverse. ❧ [Physical Object Note:] Obverse, round edge and obverse, bottom edge toward flat edge chipped. Bottom edge cracked.
DOI: 10.6084/m9.figshare.30542249
title: Simulating a virtual tumor board with large language models: a pilot study in NSCLC patients receiving immunotherapy

description: Multidisciplinary teams (MDTs) are fundamental to cancer care but face increasing burdens. This pilot study evaluates a large language model (LLM) simulating a tumor board for a clinically complex cohort of non-small cell lung cancer (NSCLC) patients, using a full-context guideline injection methodology to ground its reasoning in authoritative standards. Ten real-world NSCLC cases were presented to Google’s Gemini 2.5 Pro using prompt engineering. The model was primed by providing the complete National Cancer Institute guidelines as in-context source data in a structured JSON file. AI-generated recommendations were scored against the institutional human MDT. The LLM demonstrated high performance, achieving mean scores of 4.9/5.0 for content accuracy, 5.0/5.0 for internal consistency, and 4.4/5.0 for clinical applicability. Importantly, no safety concerns were identified in the AI’s recommendations. However, the model did not generate any novel insights beyond those considered by the human MDT. An LLM primed with comprehensive guidelines can accurately and safely replicate MDT recommendations for complex NSCLC cases. The combination of guideline injection and meticulous prompt engineering is a critical strategy for ensuring LLM reliability. This positions these models as powerful decision-support tools to augment, not replace, expert clinical workflow. Cancer care often involves a team of specialists, called a multidisciplinary team (MDT), who meet to decide on the best treatment for each patient. Recently, artificial intelligence (AI) tools, especially large language models, have shown potential to help in such decision-making processes. In this pilot study, we tested whether an advanced AI system (Google Gemini 2.5 Pro) could simulate the discussions of an MDT for patients with non-small cell lung cancer receiving immunotherapy. To make sure the AI’s advice was safe and evidence-based, we gave it the full U.S. National Cancer Institute treatment guidelines in a structured format before asking it to evaluate 10 real patient cases. The AI’s recommendations were then compared with the actual decisions made by our hospital’s MDT. The AI performed very well, with high accuracy, logical consistency, and good clinical relevance. Importantly, none of its suggestions posed risks to patient safety. Our findings show that AI, when guided by trusted medical standards, can safely support cancer doctors in their decision-making. It has the potential to make MDT discussions more efficient, but it should be seen as a support tool – not a replacement for expert judgment.
DOI: 10.6084/m9.figshare.30542249.v1
title: Simulating a virtual tumor board with large language models: a pilot study in NSCLC patients receiving immunotherapy

description: Multidisciplinary teams (MDTs) are fundamental to cancer care but face increasing burdens. This pilot study evaluates a large language model (LLM) simulating a tumor board for a clinically complex cohort of non-small cell lung cancer (NSCLC) patients, using a full-context guideline injection methodology to ground its reasoning in authoritative standards. Ten real-world NSCLC cases were presented to Google’s Gemini 2.5 Pro using prompt engineering. The model was primed by providing the complete National Cancer Institute guidelines as in-context source data in a structured JSON file. AI-generated recommendations were scored against the institutional human MDT. The LLM demonstrated high performance, achieving mean scores of 4.9/5.0 for content accuracy, 5.0/5.0 for internal consistency, and 4.4/5.0 for clinical applicability. Importantly, no safety concerns were identified in the AI’s recommendations. However, the model did not generate any novel insights beyond those considered by the human MDT. An LLM primed with comprehensive guidelines can accurately and safely replicate MDT recommendations for complex NSCLC cases. The combination of guideline injection and meticulous prompt engineering is a critical strategy for ensuring LLM reliability. This positions these models as powerful decision-support tools to augment, not replace, expert clinical workflow. Cancer care often involves a team of specialists, called a multidisciplinary team (MDT), who meet to decide on the best treatment for each patient. Recently, artificial intelligence (AI) tools, especially large language models, have shown potential to help in such decision-making processes. In this pilot study, we tested whether an advanced AI system (Google Gemini 2.5 Pro) could simulate the discussions of an MDT for patients with non-small cell lung cancer receiving immunotherapy. To make sure the AI’s advice was safe and evidence-based, we gave it the full U.S. National Cancer Institute treatment guidelines in a structured format before asking it to evaluate 10 real patient cases. The AI’s recommendations were then compared with the actual decisions made by our hospital’s MDT. The AI performed very well, with high accuracy, logical consistency, and good clinical relevance. Importantly, none of its suggestions posed risks to patient safety. Our findings show that AI, when guided by trusted medical standards, can safely support cancer doctors in their decision-making. It has the potential to make MDT discussions more efficient, but it should be seen as a support tool – not a replacement for expert judgment.
DOI: 10.25549/inscriptifact-ouc1sto1610903
title: InscriptiFact -- an image database of inscriptions and artifacts

description: The InscriptiFact Collection is designed to allow access via the Internet to high-resolution images of ancient inscriptions and artifacts, primarily from the Near Eastern and Mediterranean Worlds. The targeted inscriptions constitute some of the world’s earliest written records, which are mostly housed in a number of international museums and libraries, as well as field projects where inscriptions still remain in situ. Included, for example, are, selected Dead Sea Scrolls; cuneiform tablets from Mesopotamia, Persia, Canaan and Egypt; early Jewish papyri from Egypt; lapidary inscriptions, primarily from Jordan, Lebanon and Cyprus; inscriptions on a variety of hard media (e.g., ostraca, copper, semi-precious stones, jar handles) mostly written in early Canaanite, Phoenician, Hebrew, Aramaic, Ammonite and Edomite; and much more. These ancient texts are foundational documents that serve as a point of reference for Judaism, Christianity, Islam and the cultures out of which they emerged. The name "InscriptiFact" is intended to convey the concept of a scholarly archive based on "facts" about "inscriptions" and "artifacts." West Semitic Research Project (WSRP) under the auspices of the University of Southern California (USC) is broadly acknowledged as a leader in the application of photographic and digital technologies to capture and analyze data of ancient texts. The West Semitic Research image archive now contains approximately 1,500,000 images. Important! Search terms with more than one word or number need to be enclosed in quotation marks.Guide to Searching InscriptiFact
DOI: 10.4228/zalf.2013.256
title: Weather Data 2013, Dedelow, Germany

description: The agrometeorological weather station Dedelow was installed in 1991 by the Leibniz Centre for Agricultural Landscape Research (ZALF) e.V. and is managed by the research station of ZALF in Dedelow. The station is located within the municipality Dedelow, district Uckermark, state Brandenburg, Germany. Altitude in meter: 49 NN, Geographic latitude: 53,3665 N, Geographic longitude: 13,8030 E,Type: FMA 86. In 2013, data have been collected for: soil temperature in 5/20/50cm depth (°C); global radiation (J/cm²); relative humidity (%); air temperature, 20cm above ground (°C); air temperature, 2m above ground (°C); precipitation (mm); wind velocity (m/s); evaporation (mm). Data are saved by the logger of the station and are automatically transferred onto a PC which uses the Software MeteoWare Pro 1.02.
DOI: 10.25549/inscriptifact-ouc110617430
title: Persepolis Fortification Elamite Tablet 1385, PF-NN 1385

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] PF-NN 1385 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on upper edge and flat edge (?). Aramaic inscription on upper edge. ❧ [Physical Object Note:] Minor damage to tablet. Large crack on face of reverse and obverse.
DOI: 10.25549/inscriptifact-ouc110619775
title: Persepolis Fortification Anepigraphic Tablet 0139.203, PFAnep 0139.203

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] PFAnep 0139.203, PFUT 0139-203 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impression on obverse and reverse (?). ❧ [Physical Object Note:] Extensive chipping throughout tablet.
DOI: 10.6084/m9.figshare.30590175
title: Modified heated dynamics and deep mutational scanning enhance anti-CXCR2 antibody affinity

description: Colorectal cancer (CRC) is a leading global malignancy, with many stage IV cases requiring surgery and chemotherapy. However, chemoresistance limits treatment efficacy. Targeting resistance pathways such as CXCR2 with therapeutic antibodies offers a promising solution. This study harnessed deep mutational scanning guided by modified heated coarse-grained molecular dynamics (CGMD) simulations, to enhance the binding affinity of the HY29-1 antibody toward CXCR2. The structural stability and intermolecular binding of the variable heavy (vH) and light (vL) chains of the HY29-1 antibody fragment (Fv-HY29-1) alone and complexed with CXCR2 were assessed using modified heated CGMD simulations under thermal stress conditions. Using a modified heated CGMD protocol, the Fv-HY29-1 antibody fragment, modeled <i>via</i> ClusPro (C7) exhibited remarkable conformational stability, maintaining complete (100%) complexation with CXCR2 over a 70 ns simulation. Meanwhile, a benchmark model of the established Fv-Fab14–canine parvovirus capsid complex retained 100% stability under similar conditions. Extended deep mutational scanning over a 1000 ns trajectory pinpointed critical framework residues in the vL chain (A43, L47, and F98) as key determinants of paratope–epitope binding. Rational substitutions (A43P, L47V, F98W) significantly enhanced binding affinity, improving from −36.02 kcal/mol to −94.09 kcal/mol, approximately two-fold increase in binding strength. This marked affinity gain translated into strengthened CXCR2 engagement, highlighting the promise of structure-guided antibody engineering in optimizing therapeutic interactions. This study demonstrated that a 1 μs modified heated simulation with coarse-grained models and deep mutational scanning enables cost-effective optimization of antibody binding affinity and will guide future design of high-affinity antibodies across diverse antigen targets. The Fv-HY29-1-CXCR2 complex remained 100% stable in modified heated MD simulations.The established Fv-Fab14–canine parvovirus capsid complex model retained 100% stability under similar conditions.Deep mutational scanning through 1000 ns simulation pinpointed crucial residues for stronger antibody-CXCR2 interaction.Mutations in the vL chain (A43P, L47V, F98W) improved binding affinity by approximately two-fold, enhancing CXCR2 engagement. The Fv-HY29-1-CXCR2 complex remained 100% stable in modified heated MD simulations. The established Fv-Fab14–canine parvovirus capsid complex model retained 100% stability under similar conditions. Deep mutational scanning through 1000 ns simulation pinpointed crucial residues for stronger antibody-CXCR2 interaction. Mutations in the vL chain (A43P, L47V, F98W) improved binding affinity by approximately two-fold, enhancing CXCR2 engagement.