cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc110813316
title: Apulian Red-Figure Krater (Mixing Bowl), BMC P.3138

description: [Text Description:] Associate of the Lycurgus Painter, Classical ❧ [Text or Publication Number Note:] BMC P.3138 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Red-Figure Krater (Mixing Bowl) ❧ [Physical Object Note:] 20 1/2 x 13 1/2 x 17 1/2 in. (52 x 34.3 x 44.5 cm) ❧ [Physical Object Note:] Kraters
DOI: 10.25549/inscriptifact-ouc110813297
title: Apulian Red-Figure Krater (Mixing Bowl), BMC P.3138

description: [Text Description:] Associate of the Lycurgus Painter, Classical ❧ [Text or Publication Number Note:] BMC P.3138 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Red-Figure Krater (Mixing Bowl) ❧ [Physical Object Note:] 20 1/2 x 13 1/2 x 17 1/2 in. (52 x 34.3 x 44.5 cm) ❧ [Physical Object Note:] Kraters
DOI: 10.25549/inscriptifact-ouc110813265
title: Middle Corinthian Pyxis (Box) Body Sherd, BMC P.2967

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.2967 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Pyxis (Box) Body Sherd ❧ [Physical Object Note:] 1 1/4 x 1 1/16 x 1/8 in. (3.1 x 2.7 x 0.3 cm)
DOI: 10.25549/inscriptifact-ouc110813044
title: Late Corinthian Kotyle/Skyphos (Cup) Body Sherd with Lotus Chain, BMC P.2960

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.2960 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Kotyle/Skyphos (Cup) Body Sherd ❧ [Physical Object Note:] 1 15/16 in. x 2 1/16 in. x 3/16 in. (4.9 cm x 5.3 cm x 0.5 cm) ❧ [Physical Object Note:] Skyphoi
DOI: 10.5281/zenodo.15839138
title: ε205Tl record and bulk element data from ODP Site 1017E over the past 32 ka
DOI: 10.5281/zenodo.15839139
title: ε205Tl record and bulk element data from ODP Site 1017E over the past 32 ka
DOI: 10.25549/inscriptifact-ouc110813241
title: Middle Corinthian Pyxis (Box) Body Sherd, BMC P.2967

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.2967 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Pyxis (Box) Body Sherd ❧ [Physical Object Note:] 1 1/4 x 1 1/16 x 1/8 in. (3.1 x 2.7 x 0.3 cm)
DOI: 10.15468/dl.pbwfb9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stellaria media",
 "Country is Comoros",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024437-250811113504898/datasets/export for details.
DOI: 10.15468/dl.jm6fpa
title: Occurrence Download

description: A dataset containing 699 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stellaria media",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 699 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024438-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3sjubz
title: Occurrence Download

description: A dataset containing 2872773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Citrus sinensis, Pseudomonas savastanoi, Canis lupus familiaris, Aglais io)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2872773 records from 4097 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024427-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15470297
title: Replication files for: Private Adoption of Public Good Technologies: The Case of PurpleAir in California
DOI: 10.5281/zenodo.16945314
title: Training dataset for tremornet 2.0

description: Training dataset

This archive contains the training dataset for the Tremornet 2.0 code. 

Code is available at https://gitlab.com/bertrand.potin/tremornet.git.

Format

Archives are split into 500 Mo trunck files using bash command split. To rebuild the original files in order to use them, use:



user@machine ~$ cat events.hdf5_part_* > events.hdf5
DOI: 10.5281/zenodo.16945315
title: Training dataset for tremornet 2.0

description: Training dataset

This archive contains the training dataset for the Tremornet 2.0 code. 

Code is available at https://gitlab.com/bertrand.potin/tremornet.git.

Format

Archives are split into 500 Mo trunck files using bash command split. To rebuild the original files in order to use them, use:



user@machine ~$ cat events.hdf5_part_* > events.hdf5
DOI: 10.15468/dl.w44bvm
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene chalcedonica",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 148 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048976-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7281/t1/qvahmd
title: Federal court case event and coreference data

description: This contains much of the intermediate data and final data for the paper “Improved Induction of Narrative Chains via Cross-Document Relations” in StarSem 2022. The raw data came from the federal cases dataset at the excellent Caselaw Access Project (https://case.law) from Harvard’s Law Library.
DOI: 10.7281/t1/qvahmd/abajnk
title: 10_coref_output.zip

description: This contains the output of running Xia et al. (2020)’s coref model on all 965,467 federal cases in the corpus. For those who have case.law Researcher Access, we are happy to share the full coref output, including the underlying tokens. But for this public version, only the coref spans for each file are available, since one can reconstruct the full corpus if one also has the underlying tokens. The tokenization was done using SpanBERT/spanbert-base-cased.
DOI: 10.7281/t1/qvahmd/apahpn
title: 05_pmi_doc.pkl

description: Pickle file containing the PMI, calculated on the training corpus, between 2-event-tuples, using what the paper calls pmi_{doc}.
DOI: 10.7281/t1/qvahmd/dwvkkn
title: 09_TestSplit2.zip

description: This contains the event chains for 2874 cases (0.3 percent of corpus) that were held out (i.e. not used in training the PMI measures, including not considering any citations to or from them). These cases were used for neither training nor for the testing reported in the paper. This is intended as an additional “held out” set for further testing (or for hyperparameter tuning).
DOI: 10.7281/t1/qvahmd/eof824
title: 07_all_event_chains.zip

description: This contains all the event chains extracted from all the 965,467 federal cases (excluding trivial ones and those without citations to or from).
DOI: 10.7281/t1/qvahmd/f3n2rf
title: 03_pmi_atom.pkl

description: Pickle file containing the PMI, calculated on the training corpus, between 2-event-tuples, using what the paper calls pmi_{atom}.
DOI: 10.7281/t1/qvahmd/kixo2a
title: 00_README.txt

description: A README file for this data collection
DOI: 10.7281/t1/qvahmd/ljdxvl
title: 04_pmi_dual.pkl

description: Pickle file containing the PMI, calculated on the training corpus, between 2-event-tuples, using what the paper calls pmi_{dual}.
DOI: 10.7281/t1/qvahmd/lmw63r
title: 06_cases0thru34.json

description: In an attempt to fine-tune the Xia et al. coref model to caselaw, we hand annotated 35 randomly selected cases (randomly selected from both federal and state cases). This was fairly time consuming. This is a JSON file, with each case being a json line. The format largely follows the Spanbert input form. The coref is stored in the “clusters” entry.
DOI: 10.7281/t1/qvahmd/p87ylu
title: 02_pmi_cross.pkl

description: Pickle file containing the PMI, calculated on the training corpus, between 2-event-tuples, using what the paper calls pmi_{cross}.
DOI: 10.7281/t1/qvahmd/vao1hn
title: 08_TestSplit1.zip

description: This contains the event chains for the 2783 cases (0.3 percent of corpus) that was held out (i.e. not used in training the PMI measures, including not considering any citations to or from them) and used in running cloze.py to get the test results reported.
DOI: 10.7281/t1/qvahmd/ynr7sk
title: 01_pmi_standard.pkl

description: Pickle file containing the PMI, calculated on the training corpus, between 2-event-tuples, using the standard PMI (called pmi_{standard} in the paper).
DOI: 10.15468/dl.49ghg9
title: Occurrence Download

description: A dataset containing 3362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Dendrobates truncatus (Cope, 1861), Dendrobates auratus (Girard, 1855))"
 ]
}

 The dataset includes 3362 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007003-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhfsmk
title: Occurrence Download

description: A dataset containing 278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.94719 -3.17405,-80.01105 -3.2726,-80.03428 -3.21753,-80.10395 -3.31607,-80.21137 -3.33056,-80.27233 -3.33056,-80.29265 -3.37693,-80.21427 -3.44069,-80.19395 -3.52762,-80.1504 -3.67249,-80.16201 -3.74491,-80.08653 -3.86078,-79.82235 -3.91002,-79.74107 -3.89264,-79.5814 -3.74781,-79.51463 -3.57688,-79.47979 -3.39142,-79.69039 -3.29348,-79.94719 -3.17405))",
 "HasGeospatialIssue is false",
 "TaxonKey is Araneae"
 ]
}

 The dataset includes 278 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001690-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j53rje
title: Occurrence Download

description: A dataset containing 12011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Papilionidae)",
 "Country is one of (China)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12011 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001691-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28380726
title: The role of information and communication technologies-based extension in agriculture: application, opportunities and challenges

description: Limited access to information about new technologies is a major barrier to agricultural productivity. To bridge this information gap, agricultural extension services increasingly use Information and Communication Technologies (ICTs) to provide timely and actionable information to farmers. This systematic review analyses evidence from 49 studies examining the impact of ICT interventions including mobile apps, SMS messaging, educational videos, and voice calling services on awareness, agricultural practices adoption, yields, and income. The review reveals that 76% of studies reported increased adoption of good agricultural practices, 60% demonstrated improved awareness, 74% indicated higher yields, and 68% observed enhanced incomes. Cereals, particularly maize, were the most studied crops, featuring in 52% of the studies. The success of the ICT interventions depends on well-designed messaging, adequate user training, and integration with complementary interventions. While ICTs demonstrate substantial potential to advance agricultural development outcomes, their success requires customization to local contexts, capacities, and cropping systems.
DOI: 10.6084/m9.figshare.28380726.v1
title: The role of information and communication technologies-based extension in agriculture: application, opportunities and challenges

description: Limited access to information about new technologies is a major barrier to agricultural productivity. To bridge this information gap, agricultural extension services increasingly use Information and Communication Technologies (ICTs) to provide timely and actionable information to farmers. This systematic review analyses evidence from 49 studies examining the impact of ICT interventions including mobile apps, SMS messaging, educational videos, and voice calling services on awareness, agricultural practices adoption, yields, and income. The review reveals that 76% of studies reported increased adoption of good agricultural practices, 60% demonstrated improved awareness, 74% indicated higher yields, and 68% observed enhanced incomes. Cereals, particularly maize, were the most studied crops, featuring in 52% of the studies. The success of the ICT interventions depends on well-designed messaging, adequate user training, and integration with complementary interventions. While ICTs demonstrate substantial potential to advance agricultural development outcomes, their success requires customization to local contexts, capacities, and cropping systems.
DOI: 10.6084/m9.figshare.29387930
title: Trained LargePNet models on different datasets

description: Supplementary files to the manuscript "LargePNet: Large-view statistics aggregation enables finer restoration of fluorescence images"
DOI: 10.6084/m9.figshare.29387930.v1
title: Trained LargePNet models on different datasets

description: Supplementary files to the manuscript "LargePNet: Large-view statistics aggregation enables finer restoration of fluorescence images"
DOI: 10.3886/e230903v1
title: Investigating L2 Learners’ Task Motivation in Mandarin Chinese Essay Writing: The Role of ChatGPT in AI-Mediated Learning

description: This project investigates the impact of AI-mediated learning on second language (L2) learners’ task motivation in Mandarin Chinese essay writing. Seventy-two undergraduate students were randomly assigned to either an AI-assisted writing intervention or a peer-collaborative control group. Quantitative analyses demonstrated a significant immediate increase in motivation for the intervention group, with gains sustained at the delayed post-test.Qualitative analysis of eight participants revealed four key themes: enhanced writing confidence, increased enjoyment, over-reliance on AI, and frustration due to misaligned outputs. Interactions with ChatGPT primarily focused on vocabulary and sentence-level refinement rather than broader content development. Findings suggest that AI scaffolding can improve learners’ perceived competence, autonomy, and self-regulatory strategies, though excessive reliance may limit deeper cognitive engagement. Instructional recommendations include draft-first approaches, reflective prompts, and teacher mediation to optimize AI use. Overall, integrating ChatGPT into CFL essay writing can meaningfully enhance multidimensional task motivation.
DOI: 10.15468/dl.q87jyy
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "GadmGid is PER.3_1",
 "TaxonKey is Halenia"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001693-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dx2yep
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Phyllostachys acuta"
 ]
}

 The dataset includes 21 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001694-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ayq2g
title: Occurrence Download

description: A dataset containing 288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((85.40905 56.28817,85.44859 56.28817,85.44859 56.31238,85.40905 56.31238,85.40905 56.28817))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 288 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001696-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jdmw3v
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Boreogadus saida"
 ]
}

 The dataset's 4 records were derived from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001692-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.23297.52321
title: Entrevista sobre proyecto de bioelectricidad Bagua (Amazonas)
DOI: 10.15468/dl.kud9cc
title: Occurrence Download

description: A dataset containing 9350733 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Living Specimen, Human Observation, Specimen)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9350733 records from 889 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001667-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17666720
title: control cohort VCF used in SDrecall

description: The control cohort VCF file containing variants across segmental duplications overlapped with exons. The VCF mapped to hg19 reference genome assembly is the original file and the VCF mapped to hg38 is lifted based on the hg19 VCF file by CrossMap. The source code of this SDrecall is stored at https://github.com/snakesch/SDrecall
DOI: 10.15468/dl.6pkd5b
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.02834 -3.21064,-80.09974 -3.20361,-80.14577 -3.31869,-80.27187 -3.32088,-80.30666 -3.40544,-80.22498 -3.44923,-80.19473 -3.69097,-80.12515 -3.89322,-79.85233 -3.92283,-79.7315 -3.91132,-79.59723 -3.83134,-79.48984 -3.69268,-79.45532 -3.52582,-79.66227 -3.52944,-79.70463 -3.42979,-79.73337 -3.28935,-79.76211 -3.21988,-79.90127 -3.18212,-80.02834 -3.21064))",
 "HasGeospatialIssue is false",
 "TaxonKey is Mantodea"
 ]
}

 The dataset includes 25 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001697-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17567243
title: Dataset for "Reinforcement Learning of Quantum Circuit Architectures for Molecular Potential Energy Curves"

description: This dataset contains the raw simulation data used in the paper “Reinforcement Learning of Quantum Circuit Architectures for Molecular Potential Energy Curves”. All data were generated using our RL-based framework, which is available in the accompanying GitHub repository.





LiH_4q_2.2Numerical results for four-qubit lithium hydride at a single bond distance of 2.2 Å.




LiH_4q_1.0_4.0Numerical results for four-qubit lithium hydride used to generate the potential energy curve (PEC) over the bond-distance interval 1.0–4.0 Å.




LiH_6q_2.2Numerical results for six-qubit lithium hydride at a single bond distance of 2.2 Å.




LiH_6q_1.0_4.0Numerical results for six-qubit lithium hydride used to generate the PEC over the bond-length interval 1.0–4.0 Å.




H4_q8_1.5Numerical results for eight-qubit H4 at a single bond distance of 1.5 Å.




H4_q8_0.55_1.55Numerical results for eight-qubit H4 used to generate the PEC over the bond-length interval 0.55–1.55 Å.




JSPNumerical results for the job shop scheduling (JSP) setup.



For each setup, the corresponding folder contains a config.py file that was used to run this setup within our RL-VQE framework, as well as a molecular_data.npy file, which stores the molecular Hamiltonian, ground-state energy and Hartree–Fock energy for the system.

Each setup folder further contains 12 subfolders named training_session_x, which store the results of the x-th independent training run for this setup. Each training_session_x folder includes:





actor_model_x.pt: the learned parameters of the neural network (actor) after training.




rl_quantities_x.npy: reinforcement-learning-specific quantities such as actor and critic losses, entropy, and related diagnostics.




results.npy: per-episode results, including the obtained energy, the constructed circuit, and the corresponding reward.




unseen_predictions_x.npy (PEC setups only): energy evaluations of the trained policy on unseen bond distances



For further implementation details, please refer to the associated GitHub repository.
DOI: 10.5281/zenodo.17567242
title: Dataset for "Reinforcement Learning of Quantum Circuit Architectures for Molecular Potential Energy Curves"

description: This dataset contains the raw simulation data used in the paper “Reinforcement Learning of Quantum Circuit Architectures for Molecular Potential Energy Curves”. All data were generated using our RL-based framework, which is available in the accompanying GitHub repository.





LiH_4q_2.2Numerical results for four-qubit lithium hydride at a single bond distance of 2.2 Å.




LiH_4q_1.0_4.0Numerical results for four-qubit lithium hydride used to generate the potential energy curve (PEC) over the bond-distance interval 1.0–4.0 Å.




LiH_6q_2.2Numerical results for six-qubit lithium hydride at a single bond distance of 2.2 Å.




LiH_6q_1.0_4.0Numerical results for six-qubit lithium hydride used to generate the PEC over the bond-length interval 1.0–4.0 Å.




H4_q8_1.5Numerical results for eight-qubit H4 at a single bond distance of 1.5 Å.




H4_q8_0.55_1.55Numerical results for eight-qubit H4 used to generate the PEC over the bond-length interval 0.55–1.55 Å.




JSPNumerical results for the job shop scheduling (JSP) setup.



For each setup, the corresponding folder contains a config.py file that was used to run this setup within our RL-VQE framework, as well as a molecular_data.npy file, which stores the molecular Hamiltonian, ground-state energy and Hartree–Fock energy for the system.

Each setup folder further contains 12 subfolders named training_session_x, which store the results of the x-th independent training run for this setup. Each training_session_x folder includes:





actor_model_x.pt: the learned parameters of the neural network (actor) after training.




rl_quantities_x.npy: reinforcement-learning-specific quantities such as actor and critic losses, entropy, and related diagnostics.




results.npy: per-episode results, including the obtained energy, the constructed circuit, and the corresponding reward.




unseen_predictions_x.npy (PEC setups only): energy evaluations of the trained policy on unseen bond distances



For further implementation details, please refer to the associated GitHub repository.