cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/n9z3ftsmmm.1
title: Digital amnesia bibliometric analysis

description: This article focuses on the bibliometric analysis on digital amnesia.
DOI: 10.17632/4bd6jg543b.1
title: Road Network Data: Bridge seismic design method based on seismic importance adjustment factor and uniform traffic loss risk

description: This is the supplemental data to the paper “Bridge seismic design method based on seismic importance adjustment factor and uniform traffic loss risk”, which contains:
1. Road network traffic volume matrix.
2. Line data (including line length, traffic capacity, and free-flow speed).
3. Existing bridge structural type.
DOI: 10.17632/d8jw3fvncc.1
title: Mediation of Artificial Intelligence in Digitizing Bibliographies of Secondary Sources in Historical Research

description: Secondary sources are relevant sources of historical research. These are journal articles, books, newspapers and encyclopedias. Secondary sources published at regular intervals are documented in the form of bibliographies for easy consultation by historians. However, accessing these sources has always been cumbersome as they are in hardcopy format and kept in the shelves of libraries that only few researchers or historians can access them. More time is spent in the acquisition of list of literature needed to conduct research being the predicament that confronted scholars for decades. The essence of this paper is to discuss the meditative role of artificial intelligence in digitizing bibliographies of secondary sources of historical research. The method adopted for this study is historical methodology and the use of secondary sources such as books, journal articles and internet sources for data collection. The findings shows that Artificial Intelligence, with its powerful data processing capabilities, can aid digitization of bibliographies of secondary sources through automatic extraction of cited information from the web of research papers and articles, formatted into a standardized citation style and included into a digital bibliography database. It concludes that online bibliographies related to history can now be accessed easily unlike before, while historians focus on interpretation and analysis rather than tedious data collection. The study recommends the need for historians to build a digital culture needed in the utilization of AI for historical research
DOI: 10.17632/kmb89v8yhz.1
title: Measuring Document Similarity: A Comparative Analysis of NLP Methods in Finance

description: Vector embeddings for the business descriptions of S&P 500 constituent companies.
DOI: 10.17632/w9wbn9mpr8.1
title: Prediction of slaughter weight with body components and liner body measurement of Hararge Cattle at Haramaya University Abattoir, Ethiopia

description: The aim of the study was to determine the relationship between slaughter weight (SW) with body components and liner body measurements and investigate the coefficient of correlation between slaughter weight with body component and liner body measurements to select the best regression equation. Data on liner body measurements (height at wither and at hips, heart girth, body length, height and width of hump, height at fall and hind legs, body sheath height, height at hooks, barrel circumference, width of face, length of face and tail circumference) and slaughter weight of body components (Hot Carcass Weight (HCW), Empty Body Weight (ESW), Internal Offal (IO) and External Offal (EO)) were collected from 62 Hararghe cattle at Haramaya University abattoir.
DOI: 10.17632/4mrz64jksn.1
title: Cost-benefit analysis of large-scale land restoration in the Chinese Loess Plateau: evaluating the monetary value of ecosystem services.

description: Dataset of the monetization analysis of ecosystem services values
DOI: 10.17632/v6563pxdn9.1
title: Dynamic Grouping of Ongoing Activity in V1 Hypercolumns

description: This data set is the cell response of example site in the essay. 
The raw data is really big, so here we present extracted cell data for example location only. You can contact haidong@fudan.edu.cn for a copy of full version original data.
Codes used to analyze it can be found at: https://github.com/adolescent/Dynamic-Grouping-of-Ongoing-Activity-in-V1-Hypercolumns
DOI: 10.26036/cnp0004025
title: Comparative genomics reveals diverse morphological adaptations of butterflyfish (Chaetodontidae) to environmental stress

description: Chaetodontidae (Butterflyfish) are typical fish in coral ecosystems and important ornamental fish. Butterflyfish was affected by the deterioration of coral environment and its population was reduced, thus the study of its genome is imminent. Butterflyfish varied greatly among species, i.e. in body color pattern, feeding ecology, etc. It is fascinating how genomic alterations drive phenotypic diversity. We first reported three Chaetodontidae genomes (Chelmon rostratus, Chaetodon trifasciatus and Chaetodon auriga), and a colse species of Pomacanthidae (Centropyge bicolor). We also presented a chromosomal level genome map of C.rostratus as Chaetodontidae reference genome.
DOI: 10.15468/dl.9ew3uh
title: Occurrence Download

description: A dataset containing 515 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Harvard University Herbaria: All Records",
 "TaxonKey is Aquilegia canadensis L."
 ]
}

 The dataset includes 515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042664-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aydyz6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Harvard University Herbaria: All Records",
 "TaxonKey is Aquilegia californica A.Gray"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042665-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7488/ds/7781
title: Multi-view Disentanglement for Reinforcement Learning with Multiple Cameras

description: The performance of image-based Reinforcement Learning (RL) agents can vary depending on the position of the camera used to capture the images. Training on multiple cameras simultaneously, including a first-person egocentric camera, can leverage information from different camera perspectives to improve the performance of RL. However, hardware constraints may limit the availability of multiple cameras in real-world deployment. Additionally, cameras may become damaged in the real-world preventing access to all cameras that were used during training. To overcome these hardware constraints, we propose Multi-View Disentanglement (MVD), which uses multiple cameras to learn a policy that is robust to a reduction in the number of cameras to generalise to any single camera from the training set. Our approach is a self-supervised auxiliary task for RL that learns a disentangled representation from multiple cameras, with a shared representation that is aligned across all cameras to allow generalisation to a single camera, and a private representation that is camera-specific. We show experimentally that an RL agent trained on a single third-person camera is unable to learn an optimal policy in many control tasks; but, our approach, benefiting from multiple cameras during training, is able to solve the task using only the same single third-person camera.
description: The performance of image-based Reinforcement Learning (RL) agents can vary depending on the position of the camera used to capture the images. Training on multiple cameras simultaneously, including a first-person egocentric camera, can leverage information from different camera perspectives to improve the performance of RL. However, hardware constraints may limit the availability of multiple cameras in real-world deployment. Additionally, cameras may become damaged in the real-world preventing access to all cameras that were used during training. To overcome these hardware constraints, we propose Multi-View Disentanglement (MVD), which uses multiple cameras to learn a policy that is robust to a reduction in the number of cameras to generalise to any single camera from the training set. Our approach is a self-supervised auxiliary task for RL that learns a disentangled representation from multiple cameras, with a shared representation that is aligned across all cameras to allow generalisation to a single camera, and a private representation that is camera-specific. We show experimentally that an RL agent trained on a single third-person camera is unable to learn an optimal policy in many control tasks; but, our approach, benefiting from multiple cameras during training, is able to solve the task using only the same single third-person camera. This is the data for the experiment results in the paper 'Multi-view Disentanglement for Reinforcement Learning for Multiple Cameras' (https://arxiv.org/abs/2404.14064). These files contain the evaluation returns for all MVD seeds used to create Figures 4 and 5 in the paper. Further details are provided in the README file.
DOI: 10.5883/bold:abz3332
title: Overview of Barcode Index Number - BOLD:ABZ3332

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.gmyypk
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Harvard University Herbaria: All Records",
 "TaxonKey is Aquilegia coerulea James"
 ]
}

 The dataset includes 145 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042666-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5st7f811
title: MassIVE MSV000095483 - The gut metaproteome of children with Down syndrome
title: Study of the gut microbiota of pediatric patients with Down syndrome using a metaproteomic approach
DOI: 10.15468/dl.245ktk
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.09931 42.38946,1.06729 42.38946,1.06729 43.65682,-2.09931 43.65682,-2.09931 42.38946))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lobaria pulmonaria (L.) Hoffm."
 ]
}

 The dataset's 2 records were derived from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042661-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13135193
title: Codes, Catalogues and Data for "Deep Learning Phase Pickers: How Well Can Existing Models Detect Hydraulic-Fracturing Induced Seismicity from a Downhole Array"

description: Codes, Catalogues and Data available for: "Deep Learning Phase Pickers: How Well Can Existing Models Detect Hydraulic-Fracturing Induced Seismicity from a Downhole Array"

Catalog folder: Contains the CMM (beam-forming based) event catalogue as well as event and station information for the PNR-1z site.

Classification Test folder: Jupyter notebooks that run the classification tests and mseed input data of isolated phases (P, S, Noise).

DL_model_catalogues folder: Contains full catalogues for each DL phase picker (GPD, U-GPD, EQT and PhaseNet) and the LinMEF-filtered catalogues.

Model_run_docs folder: Util/core files for PhaseNet and EQTransformer to read data with different sampling frequencies (i.e., not 100 Hz)

Data folder: Contains one hour of continuous downhole data (11th December 2018, 9am-10am) from the PNR-1z dataset.
DOI: 10.5281/zenodo.13135600
title: Codes, Catalogues and Data for "Deep Learning Phase Pickers: How Well Can Existing Models Detect Hydraulic-Fracturing Induced Seismicity from a Downhole Array"

description: Codes, Catalogues and Data available for: "Deep Learning Phase Pickers: How Well Can Existing Models Detect Hydraulic-Fracturing Induced Seismicity from a Downhole Array"

Catalog folder: Contains the CMM (beam-forming based) event catalogue as well as event and station information for the PNR-1z site.

Classification Test folder: Jupyter notebooks that run the classification tests and mseed input data of isolated phases (P, S, Noise).

DL_model_catalogues folder: Contains full catalogues for each DL phase picker (GPD, U-GPD, EQT and PhaseNet) and the LinMEF-filtered catalogues.

Model_run_docs folder: Util/core files for PhaseNet and EQTransformer to read data with different sampling frequencies (i.e., not 100 Hz)

Data folder: Contains one hour of continuous downhole data (11th December 2018, 9am-10am) from the PNR-1z dataset.
DOI: 10.15468/dl.ja4bm7
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Harvard University Herbaria: All Records",
 "TaxonKey is Aquilegia longissima A.Gray ex S.Watson"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042667-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qf53e
title: Occurrence Download

description: A dataset listing the 1462 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99.29791 18.81436,-99.32373 18.72851,-99.16883 18.70048,-99.16946 18.81138,-99.29791 18.81436))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 1462 records were derived from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042663-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9fpe5s
title: Occurrence Download

description: A dataset containing 469 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Speleomantes italicus (Dunn, 1923)"
 ]
}

 The dataset includes 469 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042668-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ygp8y
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Sex is one of (Male, Female)",
 "TaxonKey is Herpailurus yagouaroundi (É.Geoffroy Saint-Hilaire, 1803)"
 ]
}

 The dataset includes 25 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042669-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9t0bh35
title: MODFLOW-2000 models used for groundwater simulation and management models for the Upper Klamath Basin, Oregon and California

description: This data release contains a three-dimensional groundwater flow model with example applications using MODFLOW-2000. The calibrated model is able to simulate observed decadal-scale climate-driven fluctuations in the groundwater system as well as observed shorter-term pumping-related fluctuations. Example model simulations show that the timing and location of the effects of groundwater pumping vary markedly depending on the pumping location. The complete description for the models in Gannett et al., 2012.
DOI: 10.3535/pa7-tw8-2sw
title: Alchemilla gracilis Opiz

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/11n-9ap-ftv
title: Aurinia saxatilis (L.) Desv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/klz-049-5c8
title: Atriplex prostrata Boucher ex DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ygv-7hv-5ag
title: Potentilla brauneana Hoppe

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6sm-91m-tg8
title: Centaurea phrygia subsp. pseudophrygia (C. A. Mey.) Gugler

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/75n-nlb-hcs
title: Conringia austriaca (Jacq.) Sweet

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7wz-c3f-6xs
title: Alyssum desertorum Stapf

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1y3-12x-qja
title: Fagopyrum esculentum Moench

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nan-68m-bmt
title: Rosa pendulina L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ryj-b48-j15
title: Erigeron glabratus subsp. glabratus Hoppe & Hornsch. ex Bluff & Fingerh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/brc-k6z-s5h
title: Alyssum wulfenianum subsp. ovirense (A. Kern.) Magauer, Frajman & Schönsw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ej3-n7v-hwl
title: Erysimum odoratum Ehrh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/s5s-jvn-lnc
title: Chenopodium bonus-henricus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/f25-9bl-cg6
title: Rosa cremsensis A. Kern. ex Déségl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/q9v-8gq-d9c
title: Alchemilla connivens Buser

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tz5-2qr-4bs
title: Berteroa incana (L.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1jq-6xv-jee
title: Draba boerhaavii (H. C. Hall) H. C. Hall

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5sb-zdm-8fs
title: Alchemilla gracilis Opiz

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7qw-rm2-by2
title: Carduus rhaeticus (DC.) A. Kern.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/10b-rr4-7yl
title: Diplotaxis muralis (L.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ab9-a3g-q77
title: Erysimum marschallianum Andrz. ex M. Bieb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tqs-ddg-fb1
title: Bulbostylis capillaris (L.) Kunth ex C. B. Clarke

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3la-tk0-cf8
title: Erysimum cheiri (L.) Crantz

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5kn-m7g-apq
title: Fragaria moschata Duchesne ex Weston

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y6a-cq2-5q0
title: Artemisia austriaca Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/eg5-we0-rw1
title: Geranium purpureum Vill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rt9-cdz-61q
title: Erigeron candidus Widder

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/slh-m7d-k1b
title: Alchemilla gracilis Opiz

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dem-1zx-70g
title: Euclidium syriacum (L.) R. Br.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pct-dnf-axz
title: Crataegus monogyna Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xfh-s7f-c5f
title: Oxyria digyna (L.) Hill

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4m1-n0j-yec
title: Carduus defloratus subsp. defloratus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gjw-bdw-wt3
title: Clinopodium menthifolium (Host) Stace

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h0z-zlq-t3t
title: Artemisia pontica L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bcn-7vs-lvn
title: Artemisia verlotiorum Lamotte

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dh1-akp-c4f
title: Erysimum sylvestre (Crantz) Scop.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qyw-l4l-rbm
title: Carduus nutans L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/czw-ynm-ycc
title: Braya alpina Sternb. & Hoppe

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/l7k-rfs-30n
title: Ambrosia artemisiifolia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pk0-j5q-qng
title: Atriplex patula L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4km-2n0-vg5
title: Bulbostylis capillaris (L.) Kunth ex C. B. Clarke

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4q2-gt6-mjl
title: Crepis paludosa (L.) Moench

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ak1-9jc-zs9
title: Acinos alpinus (L.) Moench

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/791-l9l-xad
title: Cardamine trifolia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/a49-qja-mcm
title: Carduus defloratus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wz5-yfs-7z8
title: Artemisia pancicii Janka ex Ronniger

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2ef-4h4-ld0
title: Potentilla brauneana Hoppe

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dsf-npp-gkz
title: Adenostyles alliariae subsp. alliariae (Gouan) A. Kern.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tsc-ebq-ab7
title: Erysimum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4qx-pwl-qqz
title: Erica spiculifolia Salisb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/p3g-dvs-fek
title: Rosa pendulina L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/z36-8gf-jlb
title: Geum rivale L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/03n-rzn-tcm
title: Potentilla clusiana Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1b7-jlw-lh5
title: Lunaria rediviva L.

description: Digital Specimen for the physical specimen hosted at University of Graz.