cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4p2pgn
title: Occurrence Download

description: A dataset containing 806480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((98.16283 18.99514,103.16283 18.99514,103.16283 23.99514,98.16283 23.99514,98.16283 18.99514))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 806480 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010919-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14726947
title: e-IPO Indonesia Data - Investment
DOI: 10.5281/zenodo.18477937
title: ANALISIS KEBUTUHAN SARANA DAN PRASARANA WILAYAH KABUPATEN BEKASI
title: ANALISIS KEBUTUHAN SARANA DAN PRASARANA WILAYAH KABUPATEN BEKASI

description: ANALISIS KEBUTUHAN SARANA DAN PRASARANA WILAYAH KABUPATEN BEKASI
DOI: 10.5281/zenodo.18477938
title: ANALISIS KEBUTUHAN SARANA DAN PRASARANA WILAYAH KABUPATEN BEKASI
title: ANALISIS KEBUTUHAN SARANA DAN PRASARANA WILAYAH KABUPATEN BEKASI

description: ANALISIS KEBUTUHAN SARANA DAN PRASARANA WILAYAH KABUPATEN BEKASI
DOI: 10.15468/dl.3xrhua
title: Occurrence Download

description: A dataset containing 10146 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.basisofrecord = 'HUMAN_OBSERVATION'
 AND (occurrence.level0gid = 'IND.31.21_1' OR occurrence.level1gid = 'IND.31.21_1' OR occurrence.level2gid = 'IND.31.21_1' OR occurrence.level3gid = 'IND.31.21_1')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND (occurrence.classificationdetails['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c']['specieskey'] &lt;&gt; '' AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 10146 records were derived from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010920-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dccery
title: Occurrence Download

description: A dataset containing 2335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagina maritima",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2335 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010948-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18477935
title: GENDER YONDASHUVI VA "SCAFFOLDING" TEXNOLOGIYASINING PEDAGOGIK‑PSIXOLOGIK NEGIZLARI

description: Ushbu ilmiy maqolada ta’lim jarayonida gender yondashuvi va “scaffolding” (bosqichma‑bosqich pedagogik qo‘llab‑quvvatlash) texnologiyasining pedagogik hamda psixologik asoslari tahlil qilinadi. Tadqiqotning maqsadi — gender sezgir yondashuv asosida tashkil etilgan scaffolding strategiyalarining talabalarning kognitiv rivojlanishi, motivatsiyasi va akademik ishtirokiga ta’sirini aniqlashdir. Aralash metodlar (mixed‑methods) dizayni asosida olingan natijalar genderga moslashtirilgan scaffolding o‘quv samaradorligini oshirishini ko‘rsatdi. Maqola natijalari ta’lim amaliyoti va o‘qituvchi tayyorlash tizimi uchun ilmiy-amaliy tavsiyalar beradi.
DOI: 10.5281/zenodo.18477936
title: GENDER YONDASHUVI VA "SCAFFOLDING" TEXNOLOGIYASINING PEDAGOGIK‑PSIXOLOGIK NEGIZLARI

description: Ushbu ilmiy maqolada ta’lim jarayonida gender yondashuvi va “scaffolding” (bosqichma‑bosqich pedagogik qo‘llab‑quvvatlash) texnologiyasining pedagogik hamda psixologik asoslari tahlil qilinadi. Tadqiqotning maqsadi — gender sezgir yondashuv asosida tashkil etilgan scaffolding strategiyalarining talabalarning kognitiv rivojlanishi, motivatsiyasi va akademik ishtirokiga ta’sirini aniqlashdir. Aralash metodlar (mixed‑methods) dizayni asosida olingan natijalar genderga moslashtirilgan scaffolding o‘quv samaradorligini oshirishini ko‘rsatdi. Maqola natijalari ta’lim amaliyoti va o‘qituvchi tayyorlash tizimi uchun ilmiy-amaliy tavsiyalar beradi.
DOI: 10.15468/dl.ud3j54
title: Occurrence Download

description: A dataset containing 3646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is Sweden",
 "OccurrenceStatus is Present",
 "TaxonKey is Coronella austriaca",
 "Year 1990-2026"
 ]
}

 The dataset includes 3646 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010949-260129131611470/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.31247302
title: A Multi-modal Graph-BERT Framework for Intelligent Legal Case Retrieval

description: This is a publicly available data for legal case retrieval.
DOI: 10.6084/m9.figshare.31247302.v1
title: A Multi-modal Graph-BERT Framework for Intelligent Legal Case Retrieval

description: This is a publicly available data for legal case retrieval.
DOI: 10.15468/dl.2d2uur
title: Occurrence Download

description: A dataset containing 7729 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagina procumbens",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 7729 records from 320 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010951-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5zhns
title: Occurrence Download

description: A dataset containing 37417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procyon lotor",
 "Country is one of (Belgium, Netherlands, Luxembourg, Germany, France)",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 37417 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010953-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18472516
title: Entanglement and electronic coherence in attosecond molecular photoionization

description: These files contain data that pertains to the publication "Entanglement and electronic coherence in attosecond molecular photoionization" by L.-M. Koll, A. J. Suñer Rubio, T. Witting, R. Bello, A. Palacios, F. Martín and M.J.J. Vrakking (reference to be added).
DOI: 10.5281/zenodo.18472517
title: Entanglement and electronic coherence in attosecond molecular photoionization

description: These files contain data that pertains to the publication "Entanglement and electronic coherence in attosecond molecular photoionization" by L.-M. Koll, A. J. Suñer Rubio, T. Witting, R. Bello, A. Palacios, F. Martín and M.J.J. Vrakking (reference to be added).
DOI: 10.15468/dl.w2x3nv
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iris austrotschatkalica"
 ]
}

 The dataset includes 72 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010956-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7erxvh
title: Occurrence Download

description: A dataset containing 10494 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centruroides vittatus"
 ]
}

 The dataset includes 10494 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010957-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kzev65
title: Occurrence Download

description: A dataset containing 8038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saponaria officinalis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 8038 records from 448 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010959-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7chh7j
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "TaxonKey is Elephas maximus indicus"
 ]
}

 The dataset includes 58 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010961-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18477967
title: ANALISIS KEBUTUHAN SARANA DAN PRASARANA WILAYAH KABUPATEN BEKASI
title: ANALISIS KEBUTUHAN SARANA DAN PRASARANA WILAYAH KABUPATEN BEKASI

description: Tugas ini saya buat untuk melengkapi tugas akhir dari mata kuliah perencanaan wilayah kota.
DOI: 10.5281/zenodo.18477968
title: ANALISIS KEBUTUHAN SARANA DAN PRASARANA WILAYAH KABUPATEN BEKASI
title: ANALISIS KEBUTUHAN SARANA DAN PRASARANA WILAYAH KABUPATEN BEKASI

description: Tugas ini saya buat untuk melengkapi tugas akhir dari mata kuliah perencanaan wilayah kota.
DOI: 10.15468/dl.6rb37a
title: Occurrence Download

description: A dataset containing 37417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procyon lotor",
 "Country is one of (Belgium, Netherlands, Luxembourg, Germany, France)",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 37417 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010962-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18477978
title: OG'ZAKI NUTQNI RIVOJLANTIRISH: NAZARIY QARASHLAR VA METODOLOGIK YONDASHUVLAR

description: Oʻzbekiston ta'lim tizimida talabalar ogʻzaki nutqini rivojlantirish katta ahamiyatga ega.
DOI: 10.5281/zenodo.18477977
title: OG'ZAKI NUTQNI RIVOJLANTIRISH: NAZARIY QARASHLAR VA METODOLOGIK YONDASHUVLAR

description: Oʻzbekiston ta'lim tizimida talabalar ogʻzaki nutqini rivojlantirish katta ahamiyatga ega.
DOI: 10.15468/dl.9hukyn
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schiedea membranacea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010968-260129131611470/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.30963763
title: <b>Deep Learning Enable Precision Authentication of Seasonal and Processing Signatures in Tieguanyin Tea</b>

description: Authenticating specialty tea products remains a critical challenge in premium food markets, yet current analytical approaches are constrained by limited reproducibility and susceptibility to instrumental variation. Here, we present a deep learning framework that transforms liquid chromatography–mass spectrometry (LC–MS) metabolomic data into image representations, enabling robust authentication of tea products under real-world analytical conditions. Profiling 274 Tieguanyin tea samples across seasonal harvests (spring and autumn) and processing methods (light-scented and strong-scented), our approach achieved 90.9% classification accuracy—substantially outperforming conventional multivariate and machine learning methods (sPLS-DA: 85.5%; random forest: 87.3%). Critically, when subjected to chromatographic drift—a pervasive source of analytical irreproducibility—our model maintained 78.2% accuracy while traditional methods degraded to 69.1%. This framework addresses fundamental limitations in untargeted metabolomics, offering a generalizable solution for food authentication that extends beyond tea to broader applications in agricultural product verification and systems biology.
DOI: 10.6084/m9.figshare.30963763.v2
title: <b>Deep Learning Enable Precision Authentication of Seasonal and Processing Signatures in Tieguanyin Tea</b>

description: Authenticating specialty tea products remains a critical challenge in premium food markets, yet current analytical approaches are constrained by limited reproducibility and susceptibility to instrumental variation. Here, we present a deep learning framework that transforms liquid chromatography–mass spectrometry (LC–MS) metabolomic data into image representations, enabling robust authentication of tea products under real-world analytical conditions. Profiling 274 Tieguanyin tea samples across seasonal harvests (spring and autumn) and processing methods (light-scented and strong-scented), our approach achieved 90.9% classification accuracy—substantially outperforming conventional multivariate and machine learning methods (sPLS-DA: 85.5%; random forest: 87.3%). Critically, when subjected to chromatographic drift—a pervasive source of analytical irreproducibility—our model maintained 78.2% accuracy while traditional methods degraded to 69.1%. This framework addresses fundamental limitations in untargeted metabolomics, offering a generalizable solution for food authentication that extends beyond tea to broader applications in agricultural product verification and systems biology.
DOI: 10.6084/m9.figshare.30963763.v1
title: <b>Deep Learning Enable Precision Authentication of Seasonal and Processing Signatures in Tieguanyin Tea</b>

description: Authenticating specialty tea products remains a critical challenge in premium food markets, yet current analytical approaches are constrained by limited reproducibility and susceptibility to instrumental variation. Here, we present a deep learning framework that transforms liquid chromatography–mass spectrometry (LC–MS) metabolomic data into image representations, enabling robust authentication of tea products under real-world analytical conditions. Profiling 274 Tieguanyin tea samples across seasonal harvests (spring and autumn) and processing methods (light-scented and strong-scented), our approach achieved 90.9% classification accuracy—substantially outperforming conventional multivariate and machine learning methods (sPLS-DA: 85.5%; random forest: 87.3%). Critically, when subjected to chromatographic drift—a pervasive source of analytical irreproducibility—our model maintained 78.2% accuracy while traditional methods degraded to 69.1%. This framework addresses fundamental limitations in untargeted metabolomics, offering a generalizable solution for food authentication that extends beyond tea to broader applications in agricultural product verification and systems biology.
DOI: 10.6084/m9.figshare.30948284.v1
title: Data for "Phenotypic robustness peaks at mildly cold, not optimal-for-growth, temperatures"

description: It has been suggested that benign thermal conditions maintain more genetic variation by mitigating the fitness effects of mutations, contributing to temperature-dependent evolutionary rates. Here we argue that temperatures maximizing phenotypic robustness do not coincide with those optimizing growth. This mismatch arises because warming simultaneously accelerates rate-limiting processes and reduces protein stability, potentially unmasking cryptic genetic variation at high temperatures. Using parallel experimental evolution lines of <i>Escherichia coli </i>and <i>Pseudomonas fluorescens</i>, we quantified phenotypic robustness across thermal gradients. Among genotype variation in maximum growth rate was minimized at mildly cold temperatures, where mean growth rates were reduced to 0.36-0.42 of optimal values in <i>E. coli</i> and 0.50-0.79 in <i>P. fluorescens</i>. Optimal-for-robustness temperatures were consistently lower than optimal-for-growth temperatures and did not align with evolution temperatures. These results suggest that environments cooler than growth optima may serve as reservoirs of genetic diversity, whereas global warming may erode phenotypic robustness by exposing cryptic variation.
DOI: 10.15468/dl.qhfs93
title: Occurrence Download

description: A dataset containing 11655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scleranthus annuus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 11655 records from 336 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010971-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2g8cby
title: Occurrence Download

description: A dataset containing 1117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bangladesh",
 "Year is 2019",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 1117 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062917-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/tirz36oi
title: Ubuntu Dialogue Corpus

description: The Ubuntu Dialogue Corpus is the largest freely available multi-turn based dialogue corpus which consists of almost one million two-way conversations extracted from the Ubuntu chat logs.
DOI: 10.13145/bacdive173555.20241212.9.2
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173555.20251217.10
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173556.20241212.9.2
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173556.20251217.10
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173557.20241212.9.2
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173557.20251217.10
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173558.20241212.9.2
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173558.20251217.10
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173559.20241212.9.2
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173559.20251217.10
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173560.20241212.9.2
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173560.20251217.10
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/iclygvbi
title: Synthia 4D

description: The Synthia 4D dataset is a synthetic dataset for 4D semantic segmentation.
DOI: 10.13145/bacdive173561.20241212.9.2
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173561.20251217.10
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173562.20241212.9.2
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173562.20251217.10
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173563.20241212.9.2
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173563.20251217.10
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive173564.20241212.9.2
title: Leptospira santarosai

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/6s2qlnf6
title: Appliances Energy dataset

description: The Appliances Energy dataset contains 18,604 samples, each of which has 25 features describing appliances energy uses such as temperature and pressure in houses. The goal is to predict energy use in a low-energy building.