cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u3mpsc
title: Occurrence Download

description: A dataset listing the 97 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-6.17909 38.35035,-6.16306 38.34784,-6.15032 38.35012,-6.14935 38.35978,-6.1589 38.37297,-6.16431 38.38578,-6.17013 38.39801,-6.18647 38.39388,-6.19343 38.38208,-6.18621 38.35198,-6.17909 38.35035))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 97 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025859-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gw9fy2
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasionota fairmairei"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025874-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fr63c9
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ambrosia artemisiifolia",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2014",
 "Month is greater than or equal to January",
 "Month is less than or equal to December"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025875-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/vpgm-k708
title: A dataset on the preference for different nitrogen species by commercial cotton

description: In this project, we tested the ability of Gossypium hirstutum L. (commercial cotton) to take up different low molecular weight nitrogenous compounds (nitrate, ammonium, urea, alanine).

Three varieties of G. hirsutum were grown to a two- to four-leaf stage in a randomised block design with 10 replicates. The three varieties used were: Sicot 746B3F, a genetically-modified (GM) current commercial cultivar accounting for more than half (54%) of the 2017-18 Australian summer plantings; Sicala V2, an obsolete non-GM commercial cultivar released in 1994; and Tx III, a Guatemalan landrace accession that represents the native origins of the commercial G. hirsutum varieties. Plants were grown in 300 mm deep low-density polyethylene (LDPE) pots, consistent with the rhizotube design used by Hill and Jones (2018). Tubes were open-bottomed, allowing drainage and preventing waterlogging. Pasteurised and washed sand of &lt;1 mm particle size was used as the growing medium to enable control over plant-available nitrogen (N) pools and to limit the potential of microbial competition for the applied N compounds. Plants were watered using a nutrient solution mixture that constituted 100% of the plants’ soil-derived nutrient supply. The plants were grown in glasshouses at the CSIRO Black Mountain site in Canberra, ACT, Australia (35°16’S 149°7’E) in January (summer) 2018. The high solar radiation experienced by Canberra in summer required the use of 70% shade cloth, as sand temperatures exceeded 60°C when exposed to direct sunlight. In total, 450 seedlings were analysed, comprising 10 replicates each of 45 unique treatments: five isotopically-labelled N and control treatments, three G. hirsutum varieties, and four sampling times (0, 5, 60 and 180 minutes).

Latimer, J.O.; Farrell, M.; Macdonald, B.C.T. (2025) Nitrogen uptake preference of Gossypium hirsutum L. from a mixture of urea, alanine, nitrate, and ammonium. PLoS One.
DOI: 10.15468/dl.mdtb7c
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Perischizon",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025876-251120083545085/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.30777887
title: Using dynamic Bayesian optimization to induce desired effects in the presence of motor learning: a simulation study

description: We sought to establish whether dynamic Bayesian optimization (DBO) is a suitable algorithm for human-in-the-loop-optimization (HILO) of the control input of devices interacting with individuals whose output changes during optimization as resulting from motor learning. Simulations were conducted assuming either purely time-dependent participant responses, or assuming responses from state-space models of motor learning. DBO generally outperformed standard Bayesian optimization (BO) in convergence to optimal inputs and outputs after a certain number of iterations. DBO may improve the performance of HILO over BO when a sufficient number of iterations can be evaluated to accurately distinguish between unstructured variability and learning.
DOI: 10.6084/m9.figshare.30777887.v1
title: Using dynamic Bayesian optimization to induce desired effects in the presence of motor learning: a simulation study

description: We sought to establish whether dynamic Bayesian optimization (DBO) is a suitable algorithm for human-in-the-loop-optimization (HILO) of the control input of devices interacting with individuals whose output changes during optimization as resulting from motor learning. Simulations were conducted assuming either purely time-dependent participant responses, or assuming responses from state-space models of motor learning. DBO generally outperformed standard Bayesian optimization (BO) in convergence to optimal inputs and outputs after a certain number of iterations. DBO may improve the performance of HILO over BO when a sufficient number of iterations can be evaluated to accurately distinguish between unstructured variability and learning.
DOI: 10.15468/dl.4k3wwb
title: Occurrence Download

description: A dataset containing 1408 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia clevelandii"
 ]
}

 The dataset includes 1408 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025877-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8wz3mh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ambrosia",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2014",
 "Month is greater than or equal to January",
 "Month is less than or equal to December"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025878-251120083545085/datasets/export for details.
DOI: 10.6084/m9.figshare.30225685.v2
title: Corporate AI ethics statements

description: They are corporate AI ethics statements published by top AI and technology companies.
DOI: 10.5066/p13edr3s
title: Data supporting nanometer-scale relationships between sedimentary organic matter molecular composition, fluorescence, cathodoluminescence, and reflectance

description: This data release describes optical photothermal infrared (OPTIR) spectroscopy data used to map sedimentary organic matter functional group distributions at 500 nm resolution in a sample from the Lower Cretaceous Sunniland Limestone from the South Florida Basin. Examined fields of view include occurrences of amorphous organic matter (AOM), inertinite, micrinite, solid bitumen, telalginite, and vitrinite. Data also include traditional organic petrographic data from the same organic grains including fluorescence intensity, reflectance, and scanning electron microscopy as well as against cathodoluminescence response.
DOI: 10.15468/dl.5n4ktj
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Teratosphaericola",
 "HasCoordinate is true"
 ]
}

 The dataset includes 218 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025879-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17676009
title: Stability and Reactivity of Alternative Nucleobases in Concentrated Sulfuric Acid

description:  

Supplementary Data for the paper entitled: 

Stability and Reactivity of Alternative Nucleobases in Concentrated Sulfuric Acid 

Jingcheng Huang1,*, Sara Seager1,2,3, Maxwell D. Seager4, Janusz J. Petkowski5,6

 1Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA

2Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA

3Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA

4Department of Chemistry and Biochemistry, Worcester Polytechnic Institute, Worcester, MA 01609, USA

5Faculty of Environmental Engineering, Wroclaw University of Science and Technology, 50‑370 Wroclaw, Poland

6JJ Scientific, Mazowieckie, 02-792 Warsaw, Poland

 *Correspondence: huangjc@mit.edu
DOI: 10.5281/zenodo.17794024
title: Data for "Quantum-optimal nonlinear microscopy with classical light"

description: The data shown in Fig. 2a-c in the manuscript is contained in figure2.zip. The raw measured spectra, measurement times, and calibrated Raman shifts for each dose are also included.  

The unprocessed image data for Fig. 3a-b is contained in figure3.zip. Rows correspond to 1-micron steps. Columns correspond to 7.3 nm steps (100 micron/s stage velocity, 13.73 kSa/s sampling). Measurements used for noise calibration are also included.

The unprocessed image data for Fig. 4 is contained in figure4.zip. Rows correspond to 1-micron steps. Columns correspond to 7.3 nm steps (100 micron/s stage velocity, 13.73 kSa/s sampling). Measurements used for noise calibration are also included.  

Column headers contain additional information.
DOI: 10.5281/zenodo.17794025
title: Data for "Quantum-optimal nonlinear microscopy with classical light"

description: The data shown in Fig. 2a-c in the manuscript is contained in figure2.zip. The raw measured spectra, measurement times, and calibrated Raman shifts for each dose are also included.  

The unprocessed image data for Fig. 3a-b is contained in figure3.zip. Rows correspond to 1-micron steps. Columns correspond to 7.3 nm steps (100 micron/s stage velocity, 13.73 kSa/s sampling). Measurements used for noise calibration are also included.

The unprocessed image data for Fig. 4 is contained in figure4.zip. Rows correspond to 1-micron steps. Columns correspond to 7.3 nm steps (100 micron/s stage velocity, 13.73 kSa/s sampling). Measurements used for noise calibration are also included.  

Column headers contain additional information.
DOI: 10.15468/dl.au8aq7
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ambrosia trifida",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2014",
 "Month is greater than or equal to January",
 "Month is less than or equal to December"
 ]
}

 The dataset includes 61 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025881-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.em683b
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paramycosphaerella",
 "HasCoordinate is true"
 ]
}

 The dataset includes 99 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025882-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sff7nr
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ammotragus lervia",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2014",
 "Month is greater than or equal to January",
 "Month is less than or equal to December"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025883-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17806593
title: Anonymized student data samples for integral learning study

description: This dataset contains fully anonymized written work from three students who participated in a study on students’ construction of the definite integral. The files include task responses and numerical reasoning that illustrate how learners engaged with activities on curve length and area estimation. All identifying information has been removed, and no audio or video materials are included. The dataset provides representative qualitative evidence in accordance with data-sharing requirements.
DOI: 10.5281/zenodo.17806594
title: Anonymized student data samples for integral learning study

description: This dataset contains fully anonymized written work from three students who participated in a study on students’ construction of the definite integral. The files include task responses and numerical reasoning that illustrate how learners engaged with activities on curve length and area estimation. All identifying information has been removed, and no audio or video materials are included. The dataset provides representative qualitative evidence in accordance with data-sharing requirements.
DOI: 10.25934/pr00008774
title: Using the “potential-outcomes framework” to predict added value of more intensive initial therapy for individual early Rheumatoid Arthritis (RA) patients

description: Rheumatoid Arthritis (RA) is a chronic inflammatory disease, mainly affecting the joints. It typically requires life long-treatment and patients suffer from pain disability and joint damage. The prevalence of RA is about 1%. Disease-modifying antirheumatic drugs (DMARDs) are the cornerstone of early rheumatoid arthritis (RA) treatment with Methotrexate (MTX) typically used as a first line treatment. Methotrexate is a classical Disease Modifying Anti-Rheumatic Drug (csDMARD) contrary to the more recently developed 'biologicals', drugs that are typically monoclonal antibodies or receptor blockers that have a more specific target relevant to the disease process of rheumatoid arthritis. More intensive initial combination therapy with biologicals (like Tocilizumab) has been evaluated in clinical trials showing limited added value with longer follow-up in a treat-to-target (T2T) strategy. Treat-to-target is a treatment strategy where disease activity is frequently monitored using a validated measure, and compared to a prespecified target value (often remission or low disease activity based on a cut-off). When the treatment target is not met, treatment is intensified until the disease target is reached. Such studies report the treatment effect on group level, however, precision medicine requires information on which individuals will respond relevantly better to a more intensive therapy compared to MTX. Precision medicine, sometimes called personalized medicine concerns tailoring treatment to the specific needs and disease characteristics (including e.g. anticipated response to treatment and/or anticipated optimal treatment choice) of an individual patient.

The aim of this study is to identify whether clinically relevant heterogeneity in treatment effect exist (whether an expected difference in treatment effect is sufficiently large to be relevant for decision making regarding treatment choices), and to explore whether individual added value of more intensive therapy can be predicted in early RA patients. This will be done utilizing a "potential-outcomes-framework" which is a framework for identifying the (unobserved) treatment effect/outcome for a specific treatment and a specific patient actually treated with another drug, so that the added value of the specific treatment (compared to the reference treatment) can be obtained (and predicted). As medication always has adverse effects, adding treatment should always also have (sufficient) added value regarding controlling the disease. Also in the early phase of the disease optimal disease control, as soon as possible is warranted, and early knowledge on the added value of a specific treatment option is of high value.
DOI: 10.15468/dl.8kg8jr
title: Occurrence Download

description: A dataset containing 9778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ilyonectria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9778 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025884-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/f3efc9d88150bd0e8c0814b22ada0e70
title: Carbon and nitrogen content and stable isotope compositions from particulate organic matter samples from lagoon, river, and open ocean sites along the Alaska Beaufort Sea coast, 2018-ongoing

description: Multiple water types (river, lagoon, ocean) from the North Slope of Alaska and nearshore Beaufort Sea are sampled seasonally by the Beaufort Lagoon Ecosystems LTER (BLE LTER) Core Program to investigate biogeochemical linkages between terrestrial, lagoon, and open ocean ecosystems. Water samples are collected during full ice cover (April), ice break-up (mid-June to early July), and open water (late July and August) periods, and analyzed for particulate organic carbon (POC) and particulate organic nitrogen (PON) content and stable isotopic composition.
DOI: 10.5281/zenodo.17806826
title: Country AI Activity Metrics

description: This Emerging Technology Observatory dataset includes national-level metrics for AI-related research, patents, and private-market investment. Metrics are presented for AI as a whole as well as select subfields, such as natural language processing and computer vision. For schemas and a detailed methodological description, visit the full documentation. To browse the data visually, visit ETO's Country Activity Tracker.

Research subject classifications are based on work supported in part by the Alfred P. Sloan Foundation under Grant No. G-2023-22358.
DOI: 10.5281/zenodo.13984221
title: Country AI Activity Metrics

description: This Emerging Technology Observatory dataset includes national-level metrics for AI-related research, patents, and private-market investment. Metrics are presented for AI as a whole as well as select subfields, such as natural language processing and computer vision. For schemas and a detailed methodological description, visit the full documentation. To browse the data visually, visit ETO's Country Activity Tracker.

Research subject classifications are based on work supported in part by the Alfred P. Sloan Foundation under Grant No. G-2023-22358.
DOI: 10.5281/zenodo.14058168
title: ETO Cross-Border Tech Research Metrics

description: ETO's Cross-Border Tech Research Metrics dataset includes metrics for cross-border research in emerging technology domains, such as AI, robotics, and cybersecurity. For complete documentation and caveats, visit the ETO website.

Research subject classifications are based on work supported in part by the Alfred P. Sloan Foundation under Grant No. G-2023-22358.
DOI: 10.5281/zenodo.17806823
title: ETO Cross-Border Tech Research Metrics

description: ETO's Cross-Border Tech Research Metrics dataset includes metrics for cross-border research in emerging technology domains, such as AI, robotics, and cybersecurity. For complete documentation and caveats, visit the ETO website.

Research subject classifications are based on work supported in part by the Alfred P. Sloan Foundation under Grant No. G-2023-22358.
DOI: 10.15468/dl.rj6k8a
title: Occurrence Download

description: A dataset containing 6392 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Megascops albogularis"
 ]
}

 The dataset includes 6392 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025885-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyzrg8
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphiachyris dracunculoides",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2014",
 "Month is greater than or equal to January",
 "Month is less than or equal to December"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025886-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qus5pq
title: Occurrence Download

description: A dataset containing 4739 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-99.0",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Vipera berus"
 ]
}

 The dataset includes 4739 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025888-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.