cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc110831039
title: Persepolis Fortification Elamite Tablet 1226, PF 1226

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF 1226 ❧ [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 left edge, reverse. ❧ [Physical Object Note:] Cracks on left edge, obverse, reverse.
DOI: 10.25549/inscriptifact-ouc110830958
title: Persepolis Fortification Elamite Tablet 1226, PF 1226

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF 1226 ❧ [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 left edge, reverse. ❧ [Physical Object Note:] Cracks on left edge, obverse, reverse.
DOI: 10.17632/3tt3s5mdxm.1
title: Cross-Cultural Validation of the Short Form of the Physical Self-Description Questionnaire (PSDQ-S) in Polish athletes

description: The data is about the reliability and validity the short form of Physical self-description Questionnaire (PSDQ-S).
DOI: 10.17632/hjrhrt5hs8.1
title: SoursopBD: A medicinal plant leaf disease dataset for machine learning and computer vision tasks

description: Soursop (Annona muricata Linn) is one of the herbal plants that is widely used as an antidiabetic, anti-inflammatory, insecticidal, antimalarial, anticancer, antibacterial, and antioxidant .This dataset contains images of medicinal plant leaf disease. Images were collected from different places in Kushtia, Dhaka, Bangladesh. The following (.zip) folder contains six classes. Among them, five are the diseased classes and one healthy class. The diseased classes are Cutting Caterpillar, Cutting Weevil, Die Back, Healthy, White Fly, and Yellow. The images are compressed from 3024 × 4032 pixels to 320 × 240 pixels to compress the large memory size of the data. This dataset is a significant addition to the plant pathology and data science community.

Image Size: 320 × 240 pixels
Data Format: .jpg
Number of images: 3838 
Number of classes: 6
Name of the classes: Cutting Caterpillar, Cutting Weevil, Die Back, Healthy, White Fly, and Yellow
Device Details: Images captured by iPhone-SE
DOI: 10.17632/hjrhrt5hs8
title: SoursopBD: A medicinal plant leaf disease dataset for machine learning and computer vision tasks

description: Soursop (Annona muricata Linn) is one of the herbal plants that is widely used as an antidiabetic, anti-inflammatory, insecticidal, antimalarial, anticancer, antibacterial, and antioxidant .This dataset contains images of medicinal plant leaf disease. Images were collected from different places in Kushtia, Dhaka, Bangladesh. The following (.zip) folder contains six classes. Among them, five are the diseased classes and one healthy class. The diseased classes are Cutting Caterpillar, Cutting Weevil, Die Back, Healthy, White Fly, and Yellow. The images are compressed from 3024 × 4032 pixels to 1024 × 1024 pixels to compress the large memory size of the data. This dataset is a significant addition to the plant pathology and data science community.

Image Size: 1024 × 1024 pixels
Data Format: .JPG
Number of images: 3838 
Number of classes: 6
Name of the classes: Cutting Caterpillar, Cutting Weevil, Die Back, Healthy, White Fly, and Yellow
Device Details: Images captured by iPhone-SE
DOI: 10.17632/hjrhrt5hs8.2
title: SoursopBD: A medicinal plant leaf disease dataset for machine learning and computer vision tasks

description: Soursop (Annona muricata Linn) is one of the herbal plants that is widely used as an antidiabetic, anti-inflammatory, insecticidal, antimalarial, anticancer, antibacterial, and antioxidant .This dataset contains images of medicinal plant leaf disease. Images were collected from different places in Kushtia, Dhaka, Bangladesh. The following (.zip) folder contains six classes. Among them, five are the diseased classes and one healthy class. The diseased classes are Cutting Caterpillar, Cutting Weevil, Die Back, Healthy, White Fly, and Yellow. The images are compressed from 3024 × 4032 pixels to 1024 × 1024 pixels to compress the large memory size of the data. This dataset is a significant addition to the plant pathology and data science community.

Image Size: 1024 × 1024 pixels
Data Format: .JPG
Number of images: 3838 
Number of classes: 6
Name of the classes: Cutting Caterpillar, Cutting Weevil, Die Back, Healthy, White Fly, and Yellow
Device Details: Images captured by iPhone-SE
DOI: 10.17632/3s6znwkhkd.1
title: Dataset of HICs and UMCs

description: It includes data of 81 high income and upper middle-income countries of remittances inflows, no of individuals using internet, commercial bank branches, tax revenue, trade tax revenue, GDP from 1999-2023
DOI: 10.5281/zenodo.15466353
title: Supplementary Data for Coale et al. 2025

description: Supplementary Data 1-10 for Coale et al. 2025.

01: P. calceolata physiology data from Fe/light co-limitation experiment including cell concentraions, chlorophyll a, C, N, Fe, Cu and protein cellular contents.

02:  P. calceolata transcriptomic data. CPM of P. calceolata transcripts from Fe/light co-limitation experiment.

03: Annotations for P. calceolata gene models.

04: Fasta file of P. calceolata gene model coding sequences.

05: Fasta file of P. calceolata gene model amino acid sequences.

06: edgeR comparisons made using transcriptomic and proteomic data.

07: P. calceolata proteomic data. Quantity of all proteins detected in P. calceolata Fe/light co-limitation experiment.

08: Environmental data from NCOG samples.

09: P. calceolata dyneins annotated with dynein class, Fe response and protein amino acid sequence.

10: Gene expression response types of P. calceolata transcriptomes. All response types includes results from all edgeR comparisons, combined response types lists genes which exhibit a response type in any comparison.
DOI: 10.17632/b2ygkt79wd
title: TRIM62 facilitates influenza A virus entry by regulating retromer-WASH complex association Gupta et al.

description: Source files and unprocessed western blots
DOI: 10.17632/b2ygkt79wd.1
title: TRIM62 facilitates influenza A virus entry by regulating retromer-WASH complex association Gupta et al.

description: Source files and unprocessed western blots
DOI: 10.6084/m9.figshare.29103507
title: Patterns of student discourse in solving quantitative science problems

description: While many research studies demonstrate that students often find it difficult to use mathematics in the context of science, even if they have been successful in mathematics courses, there are few which explore how students think and reason as they solve mathematics in science problems. In this study, we use a commognitive approach to explore patterns in student discourse as they solve quantitative science problems in groups. Through paying attention to word use, visual mediators, narratives and routines, we identify four patterns in student discourse while solving these problems: science-dominant discourse; equation-searching; mathematics-dominant discourse and use of a schema. Each of these patterns of discourse can lead to successful outcomes and solutions to the problems. We argue that a commognitive approach can be a useful methodology in exploring students’ thinking as they solve mathematics in science problems. Identifying these patterns in student discourse is an important step in the ongoing research agenda seeking to understand how students bring mathematics and science together in problem solving.
DOI: 10.6084/m9.figshare.29103507.v1
title: Patterns of student discourse in solving quantitative science problems

description: While many research studies demonstrate that students often find it difficult to use mathematics in the context of science, even if they have been successful in mathematics courses, there are few which explore how students think and reason as they solve mathematics in science problems. In this study, we use a commognitive approach to explore patterns in student discourse as they solve quantitative science problems in groups. Through paying attention to word use, visual mediators, narratives and routines, we identify four patterns in student discourse while solving these problems: science-dominant discourse; equation-searching; mathematics-dominant discourse and use of a schema. Each of these patterns of discourse can lead to successful outcomes and solutions to the problems. We argue that a commognitive approach can be a useful methodology in exploring students’ thinking as they solve mathematics in science problems. Identifying these patterns in student discourse is an important step in the ongoing research agenda seeking to understand how students bring mathematics and science together in problem solving.
DOI: 10.17632/dd4yvrjcfr.1
title: Does Limiting Corporate Opportunities for Corruption Affect the Quality of Financial Reporting?

description: This dataset is used to prepare analyses in the following manuscript: Does Limiting Corporate Opportunities for Corruption Affect the Quality of Financial Reporting?
DOI: 10.17632/vp3chxmfcc.1
title: Supplementary materials for study "Exploring the evolution of long-term electricity demand and load curves in emerging economies: A case study of Indonesia's energy transition"

description: The supplementary materials include datasets that support the reproducibility of this study. These datasets cover the following:
- Annual energy demand projections
- Calibration and validation results of the MAED-EL model
- Load modulating coefficients used in MAED-EL
DOI: 10.17632/w9sx27xnbx.1
title: Merged_GEM_WorldBank_WorldValuesSurvey_WALS

description: Merged dataset from 20 years of GEM Adult Population Survey, World Bank Data, World Atlas of Language Structures, World Values Survey, and Varieties of Democracy Index
DOI: 10.17632/k84bkv8dkt.1
title: Cognitive Distortion Dataset for Text Classification in Bahasa Indonesia

description: This dataset is text data related to cognitive distortion sentences that are closely related to thought disorder. This is the first dataset of cognitive distortion sentences in Indonesian. This dataset is a collection of distortion/non-distortion sentences generated from online questionnaire answers. The questions are compiled by experts in this case a psychologist. Annotation is also done by experts to obtain distortion classes. The distribution of existing cognitive distortion classes is adjusted to the theory of Burns, D.D. (1999) in the book "The Feeling Good Handbook". The total sentence data is 4665, there are complete sentences and parts of sentences that are distortion parts flanked by the "$" sign, along with labels from two annotators in separate columns.
DOI: 10.17632/k84bkv8dkt.2
title: Cognitive Distortion Dataset for Text Classification in Bahasa Indonesia

description: This dataset is text data related to cognitive distortion sentences that are closely related to thought disorder. This is the first dataset of cognitive distortion sentences in Indonesian. This dataset is a collection of distortion/non-distortion sentences generated from online questionnaire answers. The questions are compiled by experts in this case a psychologist. Annotation is also done by experts to obtain distortion classes. The distribution of existing cognitive distortion classes is adjusted to the theory of Burns, D.D. (1999) in the book "The Feeling Good Handbook". The total sentence data is 4662, there are complete sentences and parts of sentences that are distortion parts flanked by the "$" sign, along with labels from two annotators in separate columns.
DOI: 10.17632/k84bkv8dkt.3
title: Cognitive Distortion Dataset for Text Classification in Bahasa Indonesia

description: This dataset is text data related to cognitive distortion sentences that are closely related to thought disorder. This is the first dataset of cognitive distortion sentences in Indonesian. This dataset is a collection of distortion/non-distortion sentences generated from online questionnaire answers. The questions are compiled by experts in this case a psychologist. Annotation is also done by experts to obtain distortion classes. The distribution of existing cognitive distortion classes is adjusted to the theory of Burns, D.D. (1999) in the book "The Feeling Good Handbook". The total sentence data is 4662, there are complete sentences and parts of sentences that are distortion parts flanked by the "$" sign, along with labels from two annotators in separate columns. Apart from Indonesian, an English version is also available.
DOI: 10.6084/m9.figshare.29103509
title: Unified Inference for Panel Autoregressive Models With Unobserved Grouped Heterogeneity*

description: This paper considers unified estimation and inference in panel autoregressive (PAR) models. The PAR coefficients are assumed to contain a latent group structure that allows the degree of persistence for each time series to be heterogeneous and unknown. We propose a novel penalized weighted least squares approach to simultaneously identify the unknown group membership and consistently estimate the PAR coefficients, regardless of whether the underlying PAR process is stationary, unit-root, near-integrated, or even explosive. Theoretically, we establish the classification consistency, oracle properties, and unified asymptotic normal distributions for the proposed Lasso-type estimators. Empirically, we apply our data-driven method to uncover the existence of firm-level hidden bubbles in the U.S. stock market that have not been accounted for in previous studies.
DOI: 10.6084/m9.figshare.29103509.v1
title: Unified Inference for Panel Autoregressive Models With Unobserved Grouped Heterogeneity*

description: This paper considers unified estimation and inference in panel autoregressive (PAR) models. The PAR coefficients are assumed to contain a latent group structure that allows the degree of persistence for each time series to be heterogeneous and unknown. We propose a novel penalized weighted least squares approach to simultaneously identify the unknown group membership and consistently estimate the PAR coefficients, regardless of whether the underlying PAR process is stationary, unit-root, near-integrated, or even explosive. Theoretically, we establish the classification consistency, oracle properties, and unified asymptotic normal distributions for the proposed Lasso-type estimators. Empirically, we apply our data-driven method to uncover the existence of firm-level hidden bubbles in the U.S. stock market that have not been accounted for in previous studies.
DOI: 10.17632/dhhktnxvmm.1
title: The partial gene sequences and corresponding protein sequences of CGMCC8198

description: The gene sequences and protein sequences mentioned in the article
DOI: 10.17632/n5ntc3p6mc
title: Dataset for: IN SILICO EVALUATION OF THE INTERACTION OF THE LOW ANTICOAGULANT HEPARIN DOCIPARSTAT SODIUM (DSTAT) WITH LPG3 AND ITS IN VITRO EFFECT ON MACROPHAGE INFECTION BY Leishmania chagasi

description: Data from the article IN SILICO EVALUATION OF THE INTERACTION OF THE LOW ANTICOAGULANT HEPARIN DOCIPARSTAT SODIUM (DSTAT) WITH LPG3 AND ITS IN VITRO EFFECT ON MACROPHAGE INFECTION BY Leishmania chagasi
DOI: 10.17632/n5ntc3p6mc.1
title: Dataset for: IN SILICO EVALUATION OF THE INTERACTION OF THE LOW ANTICOAGULANT HEPARIN DOCIPARSTAT SODIUM (DSTAT) WITH LPG3 AND ITS IN VITRO EFFECT ON MACROPHAGE INFECTION BY Leishmania chagasi

description: Data from the article IN SILICO EVALUATION OF THE INTERACTION OF THE LOW ANTICOAGULANT HEPARIN DOCIPARSTAT SODIUM (DSTAT) WITH LPG3 AND ITS IN VITRO EFFECT ON MACROPHAGE INFECTION BY Leishmania chagasi
DOI: 10.15468/dl.psv5m3
title: Occurrence Download

description: A dataset containing 27680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Lepista nuda (Bull.) Cooke",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 27680 records from 384 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007803-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6srbhx
title: Occurrence Download

description: A dataset containing 58 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 Neoguillauminia Croizat"
 ]
}

 The dataset includes 58 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007804-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3dn4by22kh.1
title: 051825 Calciphylaxis Presentation and Outcomes Supplemental Table 1

description: 051825 Calciphylaxis Presentation and Outcomes Supplemental Table 1
DOI: 10.17632/m345s56n22.1
title: Mediator regulates transcriptional termination through cross-talk with pre-mRNA 3' end processing factors. Chengjiang Lu et al

description: Beyond its function in transcription initiation, the Mediator complex coordinates the processes of transcription elongation and mRNA splicing. Here, we report that Mediator associates with CPSF complex in the pre-mRNA 3’ end processing machinery, partially through the MED23-FIP1 connection, for control of transcription termination. We first observed the physical association and coordinated occupancy of MED23 and FIP1 at both promoter and terminator regions, and MED23 directly binds to hundreds of 3’ mRNAs. Depleting MED23 or FIP1 or overexpressing the intrinsically disordered regions (IDRs) of FIP1 attenuated the Mediator-CPSF association and reduced the genomic occupancy of CPSF. Consequently, MED23 deficiency led to hundreds of readthrough events and fusion transcripts, and the 3’ RNA binding of MED23 is critical for the transcription termination regulation. Moreover, integrative analysis revealed that MED23 deficiency contributed to readthrough in breast cancers, thus providing new molecular insights into carcinogenesis.
DOI: 10.17632/m345s56n22
title: Mediator regulates transcriptional termination through cross-talk with pre-mRNA 3' end processing factors. Chengjiang Lu et al

description: Beyond its function in transcription initiation, the Mediator complex coordinates the processes of transcription elongation and mRNA splicing. Here, we report that Mediator associates with CPSF complex in the pre-mRNA 3’ end processing machinery, partially through the MED23-FIP1 connection, for control of transcription termination. We observed the physical association and coordinated occupancy of MED23 and FIP1 at both promoter and terminator regions, and MED23 directly binds to hundreds of 3’ mRNAs. Depleting MED23 or FIP1 or overexpressing the intrinsically disordered regions (IDRs) of FIP1 attenuated the Mediator-CPSF association and reduced the genomic occupancy of CPSF. Consequently, MED23 deficiency led to hundreds of readthrough events and fusion transcripts, and the 3’ RNA binding of MED23 is critical for the transcription termination regulation. Moreover, integrative analysis revealed that MED23 deficiency contributed to readthrough in breast cancers, thus providing new molecular insights into carcinogenesis.
DOI: 10.17632/m345s56n22.2
title: Mediator regulates transcriptional termination through cross-talk with pre-mRNA 3' end processing factors. Chengjiang Lu et al

description: Beyond its function in transcription initiation, the Mediator complex coordinates the processes of transcription elongation and mRNA splicing. Here, we report that Mediator associates with CPSF complex in the pre-mRNA 3’ end processing machinery, partially through the MED23-FIP1 connection, for control of transcription termination. We observed the physical association and coordinated occupancy of MED23 and FIP1 at both promoter and terminator regions, and MED23 directly binds to hundreds of 3’ mRNAs. Depleting MED23 or FIP1 or overexpressing the intrinsically disordered regions (IDRs) of FIP1 attenuated the Mediator-CPSF association and reduced the genomic occupancy of CPSF. Consequently, MED23 deficiency led to hundreds of readthrough events and fusion transcripts, and the 3’ RNA binding of MED23 is critical for the transcription termination regulation. Moreover, integrative analysis revealed that MED23 deficiency contributed to readthrough in breast cancers, thus providing new molecular insights into carcinogenesis.
DOI: 10.17632/9bhh3xky2h.1
title: Distinguishing between factors influencing the bone diagenesis

description: The geochemical dataset of trace elements composition for dinosaur bones from Gobi. The samples were analyzed via LA-ICP-MS. The dataset contains the data in ppm, the PAAS-normalized data, the calculated values for REE anomalies and ratios and metadata (locality, type of skeletal part...) in the folder "Data". The file "DataAnalysis-Factors-RDA.Rmd" contains RMarkdown Notebook with the data analysis. 

The data were analyzed using partial redundancy analysis to estimate the independent impact on the diagenesis of three factors: locality, cortical thickness and type of skeletal part (that is - the type of the bone). The most important factor is locality, while cortical thickness is stronger factor than skeletal part. However, tibiae have significant influence on the pRDA models as a single category, together with the bones with short cortical thickness. Additionally, the results demonstrate that bones with longer profiles tend to uptake more uranium over rare earth elements during diagenesis (contrary to the bones with short profiles, which tend to be enriched in REE). Moreover, the tibiae also have higher Ca concentrations than the other bones.
DOI: 10.17632/9bhh3xky2h.2
title: Distinguishing between factors influencing the bone diagenesis

description: The geochemical dataset of trace elements composition for dinosaur bones from Gobi. The samples were analyzed via LA-ICP-MS. The dataset contains the data in ppm, the PAAS-normalized data, the calculated values for REE anomalies and ratios and metadata (locality, type of skeletal part...) in the folder "Data". The file "DataAnalysis-Factors-RDA.Rmd" contains RMarkdown Notebook with the data analysis. 

The data were analyzed using partial redundancy analysis to estimate the independent impact on the diagenesis of three factors: locality, cortical thickness and type of skeletal part (that is - the type of the bone). The most important factor is locality, while cortical thickness is stronger factor than skeletal part. However, tibiae have significant influence on the pRDA models as a single category, together with the bones with short cortical thickness. Additionally, the results demonstrate that bones with longer profiles tend to uptake more uranium over rare earth elements during diagenesis (contrary to the bones with short profiles, which tend to be enriched in REE). Moreover, the tibiae also have higher Ca concentrations than the other bones.
DOI: 10.17632/hfw48h2ys5
title: Behavior Changes for Transport Policies in Disaters

description: Behavior Changes for Transport Policies between natural and human-made disaters
DOI: 10.17632/hfw48h2ys5.1
title: Behavior Changes for Transport Policies in Disaters

description: Behavior Changes for Transport Policies between natural and human-made disaters